A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “simulation”.
This presentation introduced how to embed Python or MATLAB® codes inside functions to do “simulation” within Capella.
CapellaDays2022 | Saratech | Interface Control Document Generation and Linkag...Obeo
Generation of Interface Control Documents (ICDs) using a model-based method has a number of advantages over text-based approaches. This paper describes the Python-based software that was written to automatically generate different versions of an ICD from a structure model in Capella. One use case for this approach is checking parts changes captured in the Engineering Bill of Materials (EBOM) using a PLM tool. We demonstrate an automated workflow that links changes in the EBOM to a request to vet the change against the ICD. This presentation will discuss our rationale, approach, results, and lessons learned.
Nowadays, we are surrounded by system of systems, autonomous systems, interconnected systems or distributed heterogeneous systems with an increase in architecture complexity.
Keeping these systems operational is a challenge as the number of potential failures which may affect their availability also increases drastically. In order to optimize availability, maintenance activities have to be designed within the design phase of the system.
Whatever the implementation choice, detection, diagnostic or prevention of failures require tests.
The goal for autonomous systems also pushes towards embedded detection and prevention capabilities and thus arguing and decision making between system engineers and maintenance engineers to share solutions in their respective activities.
In this presentation, we talk about the ability of a system designed with Capella to be tested, including in the maintenance phase. This means to interconnect several kinds of models representing different perspectives: System Design (MBSE), RAMS Analysis (Reliability, Availability, Maintainability and Safety) and Testability.
We present how a MBSE approach with Capella can be used to initiate a testability study performed with the eXpress tool from DSI International.
Scripting with Python to interact with Capella modelObeo
Scripting with Python to interact with Capella model
Have you ever wanted to easily extract engineering data from your Capella model? Have you ever wanted to easily modify your Capella model and import information into it to update it?
This webinar presents a prototype Capella Add-on that will address several example use cases
- Read information from a Capella model and export to Excel, with queries
- Update information in a Capella model
- Add elements in a Capella model
This new Capella add-on uses a common scripting language, not dedicated to Capella: Python.
- It offers the capacity to use sample scripts addressing basic need and to build its own scripts, with libraries for common add-ons (Requirement, PVMT)
- It’s easy to share, to use, has high customization capabilities
support of Capella and Team for Capella, wide compatibility with Capella versions
It is presented by :
- Sophie Plazanet (Thales Group) - MBSE Specialist
Master of Engineering & Master of Research in Advanced Systems & Robotics – Arts & Métiers ParisTech
- Arnaud Dieumegard (Obeo) - Eclipse Modeling Consultant
Ph.D. in Reliability for Systems and Software - INP Toulouse
To illustrate the examples, you'll find the videos on this playlist: https://bit.ly/capella_webinar_211216_playlist
CapellaDays2022 | Politecnico di Milano | Interplanetary Space Mission as a r...Obeo
Systems engineering is an iterative approach traditionally applied one-way, from the definition of the user needs to the implementation of a solution that satisfies certain requirements and is constrained by cost and schedule. This presentation instead aims at exploring the educational benefits of applying the opposite practice, thus retrieving system and subsystem level requirements based on a solution already implemented and taking advantage of the MBSE possibilities to realize a model of the system according to the ARCADIA method and systems engineering approach, using the Capella MBSE Tool. This reverse-engineering process has been applied to a renowned Space mission, the ESA Mars Express satellite, whose goal is to investigate all aspects of the martian environment, including the subsurface, surface and atmosphere of the planet, in order to search for evidence of extinct or extant life. The uppermost goal of this project is to demonstrate the benefits for university students at a Master's level keen on systems engineering in implementing the Capella tool to retrieve the system architecture and the operational processes in a "reversed" strategy. In this work, students have been compelled to apply systems engineering processes to justify the design choices and exploit the already well-known missions and capabilities to build the architecture and functional chains as a starting point for the reverse engineering of the identified subsystems. The results prove it is possible, and also recommendable time-wise, to teach Space engineering and Systems engineering students by using this inverse approach, rather than the canonic one in which students have to design a whole mission from scratch.
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...Obeo
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
[Capella Days 2020] Innovating with MBSE – Medical Device ExampleObeo
by Tony Komar (Siemens)
Sustained innovation is the goal of many development organizations. Sustaining innovation is depicted on an Innovation as matrix as the result of a well-defined problem, and a well-defined domain definition. An example will be presented how an MBSE tool, based on open-source tool Capella, can enhance both the problem definition and domain definition of a ventilator. It will show how the MBSE tool enhanced the understanding of the problem, and how that understanding can lead to an innovative solution.
Connecting Textual Requirements with Capella Models Obeo
SES ENGINEERING Studio: Achieving the perfect equilibrium between Textual Requirements and Models in Capella enhanced by Automatic Interoperability, Quality & Traceability operations
The importance of models is imperative in any Systems Engineering project. However, truth is not exclusively found within models. The need to describe external contracts, regulations, or non-functional requirements, for instance, can be more efficiently satisfied by using textual specifications. In order to achieve the desired “Common Source of Truth”, model and textual requirements must be connected and coexist, desirable enhanced by the automatization of the consistency checking, automatically modifying one side when changes are produced on the other end...
Within The REUSE Company, we have realised how crucial it is to facilitate this connection and provide Systems Engineers with the tools required for applying SE across the entire process as seamlessly as possible. This solution is the SES ENGINEERING Studio, and within this webinar, the following capabilities will be shown:
- The SES ENGINEERING Studio offers the capability to assess consistency between textual requirements and Capella models.
- Automatic generation of Capella models from Textual Requirements inside an RMS (Requirements Management System). This also involves the possibility to complete the exact opposite operation, generating textual requirements from Capella models.
- Seamless traceability management between textual requirements (in any RMS) and model elements in Capella; This includes the possibility to automatically suggest traces based on the semantic content of the textual requirement.
- If the preferred option is to maintain these textual requirements inside Capella, we offer the possibility to provide a round-trip process between any RMS and Requirements Viewpoint within Capella; thus, allowing that modification at either end, to be synchronized.
- Automatic quality assessment of Capella models following a number of pre-established rules or allowing the users to define tailored rules.
- Automatic interoperability between SysML and Arcadia models.
Presented by José Pereira and José Fuentes (The Reuse Company)
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...Obeo
Development of high-tech systems is a complex task done by diverse specialists distributed across the globe. Reference architectures including a clear functional breakdowns can support them and support their decisions. This presentation proposes an approach to improve the development of advanced electron microscopes by using Capella as an authoritative source of information. To support design decisions, a Capella AddOn has been developed to obtain quantitative information, such as throughput numbers, for a particular workflow. First, we will illustrate how functional and system decompositions can be captured and serve as company-wide architecting assets to inform design decisions. Next, we will outline how simulating Capella models can bring valuable insights to modelers. During a demo, we’ll simulate Capella’s Functional chains using the open-source simulation tool POOSL (https://github.com/eclipse/poosl) , and visualize results using the freely available TRACE4CPS tool (https://www.eclipse.org/trace4cps/). Re-using functions from the reference architecture allows us reason about design aspects such as the relation between throughput and design choices about function allocation and parallelism.
***
The open-source code of the solution is available at https://github.com/TNO/capella-workflow-dse
CapellaDays2022 | Saratech | Interface Control Document Generation and Linkag...Obeo
Generation of Interface Control Documents (ICDs) using a model-based method has a number of advantages over text-based approaches. This paper describes the Python-based software that was written to automatically generate different versions of an ICD from a structure model in Capella. One use case for this approach is checking parts changes captured in the Engineering Bill of Materials (EBOM) using a PLM tool. We demonstrate an automated workflow that links changes in the EBOM to a request to vet the change against the ICD. This presentation will discuss our rationale, approach, results, and lessons learned.
Nowadays, we are surrounded by system of systems, autonomous systems, interconnected systems or distributed heterogeneous systems with an increase in architecture complexity.
Keeping these systems operational is a challenge as the number of potential failures which may affect their availability also increases drastically. In order to optimize availability, maintenance activities have to be designed within the design phase of the system.
Whatever the implementation choice, detection, diagnostic or prevention of failures require tests.
The goal for autonomous systems also pushes towards embedded detection and prevention capabilities and thus arguing and decision making between system engineers and maintenance engineers to share solutions in their respective activities.
In this presentation, we talk about the ability of a system designed with Capella to be tested, including in the maintenance phase. This means to interconnect several kinds of models representing different perspectives: System Design (MBSE), RAMS Analysis (Reliability, Availability, Maintainability and Safety) and Testability.
We present how a MBSE approach with Capella can be used to initiate a testability study performed with the eXpress tool from DSI International.
Scripting with Python to interact with Capella modelObeo
Scripting with Python to interact with Capella model
Have you ever wanted to easily extract engineering data from your Capella model? Have you ever wanted to easily modify your Capella model and import information into it to update it?
This webinar presents a prototype Capella Add-on that will address several example use cases
- Read information from a Capella model and export to Excel, with queries
- Update information in a Capella model
- Add elements in a Capella model
This new Capella add-on uses a common scripting language, not dedicated to Capella: Python.
- It offers the capacity to use sample scripts addressing basic need and to build its own scripts, with libraries for common add-ons (Requirement, PVMT)
- It’s easy to share, to use, has high customization capabilities
support of Capella and Team for Capella, wide compatibility with Capella versions
It is presented by :
- Sophie Plazanet (Thales Group) - MBSE Specialist
Master of Engineering & Master of Research in Advanced Systems & Robotics – Arts & Métiers ParisTech
- Arnaud Dieumegard (Obeo) - Eclipse Modeling Consultant
Ph.D. in Reliability for Systems and Software - INP Toulouse
To illustrate the examples, you'll find the videos on this playlist: https://bit.ly/capella_webinar_211216_playlist
CapellaDays2022 | Politecnico di Milano | Interplanetary Space Mission as a r...Obeo
Systems engineering is an iterative approach traditionally applied one-way, from the definition of the user needs to the implementation of a solution that satisfies certain requirements and is constrained by cost and schedule. This presentation instead aims at exploring the educational benefits of applying the opposite practice, thus retrieving system and subsystem level requirements based on a solution already implemented and taking advantage of the MBSE possibilities to realize a model of the system according to the ARCADIA method and systems engineering approach, using the Capella MBSE Tool. This reverse-engineering process has been applied to a renowned Space mission, the ESA Mars Express satellite, whose goal is to investigate all aspects of the martian environment, including the subsurface, surface and atmosphere of the planet, in order to search for evidence of extinct or extant life. The uppermost goal of this project is to demonstrate the benefits for university students at a Master's level keen on systems engineering in implementing the Capella tool to retrieve the system architecture and the operational processes in a "reversed" strategy. In this work, students have been compelled to apply systems engineering processes to justify the design choices and exploit the already well-known missions and capabilities to build the architecture and functional chains as a starting point for the reverse engineering of the identified subsystems. The results prove it is possible, and also recommendable time-wise, to teach Space engineering and Systems engineering students by using this inverse approach, rather than the canonic one in which students have to design a whole mission from scratch.
Capella Days 2021 | Introduction to CAPELLA/ARCADIA and NASA Systems Engineer...Obeo
The NASA System Engineering (SE) handbook aims to provide general guidance and information on systems engineering, as it should be applied throughout NASA. The handbook introduces 3 common technical processes. One of these, is the System Design Process, describing the stakeholders expectations, requirements definition, logical decomposition and design solution definition. The 4 activities can be supported by a Model-Based Systems Engineering (MBSE) approach. To do so, an appropriate method and tool is necessary as the one provided by the ARChitecture Analysis & Design Integrated Approach.
ARCADIA, with its modeler CAPELLA, is a MBSE solution supporting system modeling activities. Based on 4 architectural layers, which are Operational Analysis, System Analysis, Logical and Physical Architecture, it is a structured architecture engineering method for defining and validating multi-domain systems.
This talk will present an educational overview of the ARCADIA methodology and System Design Process from the NASA SE, by introducing MBSE artefacts for space system.
The HUBBLE Space Telescope (HST) is a Cassegrain reflector telescope. Orbiting above the earth, HST elaborates a clear view of the universe free from the blurring and absorbing effects of the atmosphere. In order to illustrate the journey throughout CAPELLA, the HST will be introduced, as example, based on public information available.
[Capella Days 2020] Innovating with MBSE – Medical Device ExampleObeo
by Tony Komar (Siemens)
Sustained innovation is the goal of many development organizations. Sustaining innovation is depicted on an Innovation as matrix as the result of a well-defined problem, and a well-defined domain definition. An example will be presented how an MBSE tool, based on open-source tool Capella, can enhance both the problem definition and domain definition of a ventilator. It will show how the MBSE tool enhanced the understanding of the problem, and how that understanding can lead to an innovative solution.
Connecting Textual Requirements with Capella Models Obeo
SES ENGINEERING Studio: Achieving the perfect equilibrium between Textual Requirements and Models in Capella enhanced by Automatic Interoperability, Quality & Traceability operations
The importance of models is imperative in any Systems Engineering project. However, truth is not exclusively found within models. The need to describe external contracts, regulations, or non-functional requirements, for instance, can be more efficiently satisfied by using textual specifications. In order to achieve the desired “Common Source of Truth”, model and textual requirements must be connected and coexist, desirable enhanced by the automatization of the consistency checking, automatically modifying one side when changes are produced on the other end...
Within The REUSE Company, we have realised how crucial it is to facilitate this connection and provide Systems Engineers with the tools required for applying SE across the entire process as seamlessly as possible. This solution is the SES ENGINEERING Studio, and within this webinar, the following capabilities will be shown:
- The SES ENGINEERING Studio offers the capability to assess consistency between textual requirements and Capella models.
- Automatic generation of Capella models from Textual Requirements inside an RMS (Requirements Management System). This also involves the possibility to complete the exact opposite operation, generating textual requirements from Capella models.
- Seamless traceability management between textual requirements (in any RMS) and model elements in Capella; This includes the possibility to automatically suggest traces based on the semantic content of the textual requirement.
- If the preferred option is to maintain these textual requirements inside Capella, we offer the possibility to provide a round-trip process between any RMS and Requirements Viewpoint within Capella; thus, allowing that modification at either end, to be synchronized.
- Automatic quality assessment of Capella models following a number of pre-established rules or allowing the users to define tailored rules.
- Automatic interoperability between SysML and Arcadia models.
Presented by José Pereira and José Fuentes (The Reuse Company)
CapellaDays2022 | ThermoFisher - ESI TNO | A method for quantitative evaluati...Obeo
Development of high-tech systems is a complex task done by diverse specialists distributed across the globe. Reference architectures including a clear functional breakdowns can support them and support their decisions. This presentation proposes an approach to improve the development of advanced electron microscopes by using Capella as an authoritative source of information. To support design decisions, a Capella AddOn has been developed to obtain quantitative information, such as throughput numbers, for a particular workflow. First, we will illustrate how functional and system decompositions can be captured and serve as company-wide architecting assets to inform design decisions. Next, we will outline how simulating Capella models can bring valuable insights to modelers. During a demo, we’ll simulate Capella’s Functional chains using the open-source simulation tool POOSL (https://github.com/eclipse/poosl) , and visualize results using the freely available TRACE4CPS tool (https://www.eclipse.org/trace4cps/). Re-using functions from the reference architecture allows us reason about design aspects such as the relation between throughput and design choices about function allocation and parallelism.
***
The open-source code of the solution is available at https://github.com/TNO/capella-workflow-dse
Architecture frameworks provide an approach to describing systems and the presentation of these elements and relationships to deliver the stakeholder needs. Essentially, frameworks provide templates for our engineering artefacts.
The design of a framework must accommodate a level of freedom in its usage; specific enough to answer the majority of stakeholder concerns whilst generic enough to allow for differences between projects. This balancing act often results in framework design being more generic to allow for a wider audience. Having an untailored framework, which is more ‘open’, can lead to creating inconsistent viewpoints.
Arcadia is one such framework as implemented through the Capella tool. The framework provides 4 perspectives/levels for product definition:
- The Operational Analysis, where the user needs are considered. Note: no concept of the System at this level.
- The System Analysis, where we define the contribution and scope of the System as a ‘black box’, identifying external interfaces, and top-level system functions.
- The Logical Architecture, where we break the System down into logical ‘blocks’ and decompose the functionality.
- The Physical Architecture, in which we define a (candidate) physical architecture, further decompose the functions, and deploy this functionality to the physical sub-systems, hardware, software and/or firmware.
In this talk, we acknowledge the strengths of the Arcadia framework, and the benefits it brings, whilst considering the need to tailor the generic viewpoints. We will provide examples of how we have adopted the generic Arcadia framework and further specified some of the viewpoints to meet the needs of our stakeholders. We will discuss future work looking at how we can translate these specialisations across other areas of the model. Finally, we will provide some suggestions and advice on tailoring views to meet your own needs and ensuring stakeholder engagement with the model.
MBSE with Arcadia method step-by-step System Analysis.pdfHelder Castro
The Operational Analysis described is the previous article, MBSE with Arcadia method step-by-step: Operational Analysis [1], involves defining and creating a domain model, independently of the future system to be realized. The principle is to create a level of abstraction from the system under study in order to focus on the needs of the different stakeholders.
The System Analysis level, on the other hand, is where the System-of-Interest (SoI) to be defined emerges. The following questions for the system definition needs to be answered:
• What must the system do?
• What are the external interfaces to the system?
In order to answer the first question, the expected behaviour is modelled as Functions.
Improving MBSE maturity with open-source tool Capella Obeo
MBSE aims at transitioning the Systems Engineering practice from a document-centric approach to a model-centric approach. It is envisioned to be the next shift enhancing significantly our systems engineering capacities, in order to cope with the steadily growing systems' complexity. Although MBSE has been a trending topic over the last few years, its adoption among systems engineers is still growing slowly.
In this presentation, Stephane Lacrampe will introduced some of the challenges in MBSE adoption and explained how the Arcadia method and the Capella tool are enablers for accelerating MBSE adoption among the systems engineering community.
Is your system robust to the loss of one or more functions? Does your system require interaction with other systems to operate safely?
Does the design and operational concept of the system include contingency means? Do these contingency means correctly mitigate the risks?
These and other similar considerations are becoming more important with the emergence of autonomous systems and complex systems of systems. The introduction of digital tools and in particular model-based systems engineering allows to capture the complexity of these products starting from the operational analysis and supporting the process throughout the whole product life cycle.
With ATICA, system architects and designers will be able to analyze safety implications starting from the conceptual needs and mission description; modeling risks associated to the system, assessing the probability of occurrence and severity, and deciding upon the needs of contingency and mitigation means. ATICA enriches the Arcadia framework and provides safety analysis capabilities for each step of the system definition, design, and verification process.
In this webinar, we will address an example with an autonomous vertical take-off and landing (VTOL) vehicle, conceived for operation in urban environments (urban air mobility). We will present the operational description and system architecture, and we will conduct the Functional Hazard Analysis (FHA) directly from Capella and aligned with the normative standards in force in the aeronautic industry (ARP-4761 / ED-135).
Finally, we will introduce safety analysis covering the logical and physical architecture levels, showcasing the use of Capella, Arcadia and ATICA for Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA).
***
Pablo López Negro
Chief Innovation Officer at Anzen Engineering
Pablo López Negro is the product owner of ATICA MBSA. He has been involved in the aerospace industry for nearly 10 years. Started as guidance, navigation and control engineer where he first discovered model-based / model-driven approaches and Capella. Then he evolved towards a system engineering position before becoming MBSE specialist and designer/developer of MBSE frameworks in Anzen.
Introduction to Capella and Arcadia with a Simple SystemObeo
Discover both Capella and Arcadia with an example of product design
Learn how to build a toy catapult system thanks to the Arcadia method and the Capella open MBSE tool.
In this Webinar, We:
- Distinguish between systems engineering, which is concerned with the entire design-build-test-deploy cycle of systems development, and systems architecture, which is concerned
with system concept development and architectural design.
- Contrast the System Modeling Language, SysML,
appropriate for systems engineering, with the more focused tool, Capella, and its associated methodology, Arcadia,
which is more appropriate for systems architecture development.
- Provide an overview of the attractive features of Capella,
from the point of view of initiating modelers into the language of systems architecture and briefly demonstrate our longer free public tutorial.
This webinar was driven by Professor Peter L. Jackson
Pr. Jackson is Head, Engineering Systems and Design Pillar at Singapore University of Technology and Design. He served as the Director of the Cornell University Systems Engineering Program and led the introduction of its online Master of Engineering degree program in systems engineering ranked in the top eight such programs by US News and World Report. He published over thirty articles and is the author of an introductory text on systems engineering, 'Getting Design Right: A Systems Approach'. He is a celebrated instructor of industrial engineering and the creator of dozens of experiential learning games and tools.
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first stepsObeo
We MBSE enthusiasts love to imagine or witness sophisticated model-based engineering practices. We dream or in the best cases take advantage of digital continuity, automation, large-scale consistency, integration of disciplines, and end-to-end impact analyses.
However, not all of our architect and engineer fellows are in a situation in which they can appreciate sophistication of engineering practices the same way as we do. Entangled in everyday problems and facing the pressure to deliver, they perceive the introduction of model-based practices as an additional risk for a benefit that too often appears intangible.
Reaching the top of the stairs requires climbing the very first steps. This talk focuses on one of the most challenging aspects of MBSE deployment: lowering the height of the first steps. Paired with a pragmatic and incremental change management strategy, Capella and its add-ons are precious helpers.
System of Systems modeling comes with a tough decision for practitioners using traditional SysML V1 tools. Do I go with SysML V1, or do I look at Unified Architecture Framework? Capella eliminates that challenge with one notation that can be used for both.
By Tony Komar (Siemens)
Tony Komar has been practicing and supporting systems engineering for over 35 years.
Today he is a key contributor to the development and deployment of model-based system engineering products for Siemens Digital Industries Software.
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...Obeo
STEP (Spherical Tokamak for Energy Production) is a £220M project aiming to develop a conceptual design for a First of a Kind (FOAK) commercially viable Fusion Power Plant by 2024.
Designing a power plant at this scale comes with immense challenges: Systems engineering approach is relatively new to the industry, where the industry has been heavily research based and engineering processes are not fully in place. UKAEA, the organisation running the STEP project, is applying Model-Based Systems Engineering using the Capella tool.
The focus of our approach in managing the complexity of the system is to perform system analysis and logical architecture analysis, to generate engineering artefacts from the model. Through NGO (Needs, Goals, Objectives) analysis key system capabilities were realised to functional chains, which forms the basis for further refinement of the Logical Architecture. The differentiation between logical and physical architectures has ensured that the design stays at the logical space and the team focuses on defining the problem space. This approach has improved interface management process, by creating model-based interface documents, using the model as ‘single source of truth’ to achieve consistency. The architecture definition activities allowed early formalisation of the textual requirements, to drive detailed engineering design in the next phase.
Adopting Capella comes with challenges - one of which stems from the unique characteristic of the concept phase – the need to generate architectural variants and evaluating them. The framework and the language are limited in performing variant modelling, a topic UKAEA plans to investigate further. Another challenge was that middle-out approach was favoured for STEP whereas Arcadia method prefers the top-down approach.
Throughout this journey, adopting Capella with its use-friendly interfaces has allowed us to better engage with the programme in the MBSE approach and indoctrinate better SE practices.
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...Obeo
Closing the gap between traditional engineering and digital-native model-based driven engineering requires helping engineers to embrace new techniques. Naval Group decided to tackle the following issues: lack of interoperability with other systems, lack of bridge between functional definitions in PID schemas and MBSE physical layers, lack of documenting cross-layers relationships for a specific object's type.
In the last three years CILAS has been tailoring and applying the Arcadia methodology to several international projects related to complex optronics products development. Even though the implementation is not yet thorough and systemic within the company, CILAS is already reaping benefits of this approach on several fronts (e.g. communication, identification of optimization opportunities, knowledge capitalization etc). All in all Arcadia is a powerful methodology that significantly helps CILAS reinforcing its core skills and meeting its objectives in very challenging sectors.
STPA Analysis of Automotive Safety Using Arcadia and CapellaDavid Hetherington
This presentation demonstrates the use of the Arcadia methodology and the open source Capella tool to implement a STPA-based analysis technique that augments the conventional HARA, HAZOP. The STPA approach extends the conventional methods to include a holistic perspective considering hardware, software, humans, and control failures in a balanced manner.
Delivered by David Hetherington and Pascal Roques at the ERTS 2022 conference in Toulouse, France on 1 June 2022.
MBSE with Arcadia method step-by-step Physical Architecture.pdfHelder Castro
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
Strategies and Tools for Model Reuse with CapellaObeo
How to manage libraries and building blocks?
Reusing models or parts of models with Capella
is not only conceptually appealing, it is a real productivity enabler.
But it is also a true challenge!
Technical solutions initially dedicated to simple duplication
and synchronisation of model parts have recently evolved
and now enable multiple, classical use cases of reusing models.
In this webinar, we will illustrate:
How the Capella technology of replicable elements (aka REC/RPL) both enables
flexible design workflows (including instance-driven modeling) and
makes possible the modeling of architectures by assembly of building blocks.
How Yuzu leverages Capella to help manage the life-cycle
of building blocks and model assets, their dependencies,
their versioning, their publication, etc.
Simplifying MBSE Tasks with Capella and MapleMBSEObeo
Discover how to use Excel-based interfaces to collaborate on Capella models
MapleMBSE 2020.1 adds support for Capella. Organizations using Capella can now edit models within MapleMBSE, allowing them to simplify MBSE tasks and increase engagement with MBSE processes at their company.
During this webinar, you will see how to work with a Capella systems model using MapleMBSE
The demonstration will highlight how all stakeholders can collaborate through the systems model using task-specific, Excel-based interfaces found in MapleMBSE.
Modeling & Simulation of CubeSat-based Missions'Concept of OperationsObeo
Discover how Arcadia/Capella is used to model and simulate concept of operations scenarios for CubeSat-based missions. During this webinar, Danilo Pallamin de Almeida, who worked as a Space Systems Engineer for the NanosatC-BR2 mission at INPE, the Brazilian Institute for Space Research, will present how CubeSat-based missions have been modeled with Capella.
The model describing an initial architecture mission and concept of operations (CONOPS) is used to generate a script that configures a satellite simulator with the corresponding mission parameters.
You will see how it allows the INPE to:
- run concept of operations scenarios simulations,
- use the results for power/data-budget analyses and trade studies
Capella Days 2021 | Enhancing CubeSat design through ARCADIA and Capella: a c...Obeo
The new space economy asks for an overall improvement of systems engineering practices due to aggressive development time and complex systems design, implementation and operation by a number of players who grow with mission complexity. The talk proposes a critical analysis of a Model-Based Systems Engineering approach using ARCADIA and the Capella tool, applied to real CubeSat mission, with the aim of showing potentials and lacks.
Firstly, the way requirements are managed and traced using the Requirements Viewpoint is presented, highlighting the necessity of having a dedicated diagram for the trees generation; a solution to that is proposed in order to easily trace backwards requirements whenever needed. Following the ARCADIA method, the approach begins with the high-level objectives definition through the Operational Analysis, moving to a first internal functional analysis exploiting the second level of Capella, the System Analysis. The Logical Architecture is then developed introducing the concept of subsystem, leading to big decisions which will drive the successive Physical Architecture. The latter opens the road to all CubeSat components modeling using the concept of Node Physical Component, together with physical interfaces definition. Great use of all Capella concepts is done, such as Functional Chains, Control Functions, Replicas, Basic Mass and Price Viewpoints etc.
As the approach has been applied to a real space project, Phases and Modes have also been modeled exploiting respectively Scenario Diagrams, also used to define mission Concept of Operations, and State Machine Diagrams. Some thoughts oriented toward an improvement of the Modes management will be discussed. Lastly, ARCADIA and Capella do not provide a proper way of dealing with Assembly, Integration, Verification and Testing activities within the same architectural model, therefore an innovative approach is proposed and discussed to include such aspects in the model.
MBSE with Arcadia method step-by-step Operational Analysis.pdfHelder Castro
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...Obeo
Project Challenges
functional and non-functional requirements
big team, multi-business units, and multi-geographical sites
MBSE skills development
...
Project engineering process based on MBSE
multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...)
incremental engineering and AGILE development
engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts)
Feed Forward
Our successes and pains
What we expect from Capella for the coming years
From Model-based to Model and Simulation-based Systems ArchitecturesObeo
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Discover how to do model execution in Capella, and how to embed digital mockup inside functions to do 'system simulation' with a higher confidence.
A common need in system architecture design is to verify
that the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with
state machines to test system’s control logic.
It can verify if the logical sequences of functions and interfaces
in different scenarios are desired.
However, only sequence itself is not enough to verify
its consequence or output.
So we need each function to do what it is supposed to do
during model execution to verify its output. That's what we called 'system simulation'.
[Capella Day 2019] Model execution and system simulation in CapellaObeo
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements. Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “system simulation”.
This presentation introduces how we do model execution in Capella, and how to embed digital mockup inside functions to do “system simulation” with a higher confidence.
Renfei Xu, Glaway
Renfei Xu is the technical manager of MBSE solution in Glaway. He has participated in many pilot projects of MBSE in areas like Engine Control, Avionics, Mechatronics and so on. In recent years, he is responsible for the deployment of MBSE using Capella and ARCADIA methodology in a Radar research institute.
Wenhua Fang, Glaway
Wenhua Fang is the Director of Systems Engineering in Glaway. He has more than 12 years of working experience in SE.
He is responsible for more than 10 implementation projects of MBSE in areas like Aircraft, Engine Control, Avionics, Automotive and so on. In recent years, he leads the team to deploy MBSE in China(including using Capella and ARCADIA methodology).
Architecture frameworks provide an approach to describing systems and the presentation of these elements and relationships to deliver the stakeholder needs. Essentially, frameworks provide templates for our engineering artefacts.
The design of a framework must accommodate a level of freedom in its usage; specific enough to answer the majority of stakeholder concerns whilst generic enough to allow for differences between projects. This balancing act often results in framework design being more generic to allow for a wider audience. Having an untailored framework, which is more ‘open’, can lead to creating inconsistent viewpoints.
Arcadia is one such framework as implemented through the Capella tool. The framework provides 4 perspectives/levels for product definition:
- The Operational Analysis, where the user needs are considered. Note: no concept of the System at this level.
- The System Analysis, where we define the contribution and scope of the System as a ‘black box’, identifying external interfaces, and top-level system functions.
- The Logical Architecture, where we break the System down into logical ‘blocks’ and decompose the functionality.
- The Physical Architecture, in which we define a (candidate) physical architecture, further decompose the functions, and deploy this functionality to the physical sub-systems, hardware, software and/or firmware.
In this talk, we acknowledge the strengths of the Arcadia framework, and the benefits it brings, whilst considering the need to tailor the generic viewpoints. We will provide examples of how we have adopted the generic Arcadia framework and further specified some of the viewpoints to meet the needs of our stakeholders. We will discuss future work looking at how we can translate these specialisations across other areas of the model. Finally, we will provide some suggestions and advice on tailoring views to meet your own needs and ensuring stakeholder engagement with the model.
MBSE with Arcadia method step-by-step System Analysis.pdfHelder Castro
The Operational Analysis described is the previous article, MBSE with Arcadia method step-by-step: Operational Analysis [1], involves defining and creating a domain model, independently of the future system to be realized. The principle is to create a level of abstraction from the system under study in order to focus on the needs of the different stakeholders.
The System Analysis level, on the other hand, is where the System-of-Interest (SoI) to be defined emerges. The following questions for the system definition needs to be answered:
• What must the system do?
• What are the external interfaces to the system?
In order to answer the first question, the expected behaviour is modelled as Functions.
Improving MBSE maturity with open-source tool Capella Obeo
MBSE aims at transitioning the Systems Engineering practice from a document-centric approach to a model-centric approach. It is envisioned to be the next shift enhancing significantly our systems engineering capacities, in order to cope with the steadily growing systems' complexity. Although MBSE has been a trending topic over the last few years, its adoption among systems engineers is still growing slowly.
In this presentation, Stephane Lacrampe will introduced some of the challenges in MBSE adoption and explained how the Arcadia method and the Capella tool are enablers for accelerating MBSE adoption among the systems engineering community.
Is your system robust to the loss of one or more functions? Does your system require interaction with other systems to operate safely?
Does the design and operational concept of the system include contingency means? Do these contingency means correctly mitigate the risks?
These and other similar considerations are becoming more important with the emergence of autonomous systems and complex systems of systems. The introduction of digital tools and in particular model-based systems engineering allows to capture the complexity of these products starting from the operational analysis and supporting the process throughout the whole product life cycle.
With ATICA, system architects and designers will be able to analyze safety implications starting from the conceptual needs and mission description; modeling risks associated to the system, assessing the probability of occurrence and severity, and deciding upon the needs of contingency and mitigation means. ATICA enriches the Arcadia framework and provides safety analysis capabilities for each step of the system definition, design, and verification process.
In this webinar, we will address an example with an autonomous vertical take-off and landing (VTOL) vehicle, conceived for operation in urban environments (urban air mobility). We will present the operational description and system architecture, and we will conduct the Functional Hazard Analysis (FHA) directly from Capella and aligned with the normative standards in force in the aeronautic industry (ARP-4761 / ED-135).
Finally, we will introduce safety analysis covering the logical and physical architecture levels, showcasing the use of Capella, Arcadia and ATICA for Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA).
***
Pablo López Negro
Chief Innovation Officer at Anzen Engineering
Pablo López Negro is the product owner of ATICA MBSA. He has been involved in the aerospace industry for nearly 10 years. Started as guidance, navigation and control engineer where he first discovered model-based / model-driven approaches and Capella. Then he evolved towards a system engineering position before becoming MBSE specialist and designer/developer of MBSE frameworks in Anzen.
Introduction to Capella and Arcadia with a Simple SystemObeo
Discover both Capella and Arcadia with an example of product design
Learn how to build a toy catapult system thanks to the Arcadia method and the Capella open MBSE tool.
In this Webinar, We:
- Distinguish between systems engineering, which is concerned with the entire design-build-test-deploy cycle of systems development, and systems architecture, which is concerned
with system concept development and architectural design.
- Contrast the System Modeling Language, SysML,
appropriate for systems engineering, with the more focused tool, Capella, and its associated methodology, Arcadia,
which is more appropriate for systems architecture development.
- Provide an overview of the attractive features of Capella,
from the point of view of initiating modelers into the language of systems architecture and briefly demonstrate our longer free public tutorial.
This webinar was driven by Professor Peter L. Jackson
Pr. Jackson is Head, Engineering Systems and Design Pillar at Singapore University of Technology and Design. He served as the Director of the Cornell University Systems Engineering Program and led the introduction of its online Master of Engineering degree program in systems engineering ranked in the top eight such programs by US News and World Report. He published over thirty articles and is the author of an introductory text on systems engineering, 'Getting Design Right: A Systems Approach'. He is a celebrated instructor of industrial engineering and the creator of dozens of experiential learning games and tools.
CapellaDays2022 | Thales | Stairway to heaven: Climbing the very first stepsObeo
We MBSE enthusiasts love to imagine or witness sophisticated model-based engineering practices. We dream or in the best cases take advantage of digital continuity, automation, large-scale consistency, integration of disciplines, and end-to-end impact analyses.
However, not all of our architect and engineer fellows are in a situation in which they can appreciate sophistication of engineering practices the same way as we do. Entangled in everyday problems and facing the pressure to deliver, they perceive the introduction of model-based practices as an additional risk for a benefit that too often appears intangible.
Reaching the top of the stairs requires climbing the very first steps. This talk focuses on one of the most challenging aspects of MBSE deployment: lowering the height of the first steps. Paired with a pragmatic and incremental change management strategy, Capella and its add-ons are precious helpers.
System of Systems modeling comes with a tough decision for practitioners using traditional SysML V1 tools. Do I go with SysML V1, or do I look at Unified Architecture Framework? Capella eliminates that challenge with one notation that can be used for both.
By Tony Komar (Siemens)
Tony Komar has been practicing and supporting systems engineering for over 35 years.
Today he is a key contributor to the development and deployment of model-based system engineering products for Siemens Digital Industries Software.
Capella Days 2021 | A STEP towards Model-based: Case Study covering Conceptua...Obeo
STEP (Spherical Tokamak for Energy Production) is a £220M project aiming to develop a conceptual design for a First of a Kind (FOAK) commercially viable Fusion Power Plant by 2024.
Designing a power plant at this scale comes with immense challenges: Systems engineering approach is relatively new to the industry, where the industry has been heavily research based and engineering processes are not fully in place. UKAEA, the organisation running the STEP project, is applying Model-Based Systems Engineering using the Capella tool.
The focus of our approach in managing the complexity of the system is to perform system analysis and logical architecture analysis, to generate engineering artefacts from the model. Through NGO (Needs, Goals, Objectives) analysis key system capabilities were realised to functional chains, which forms the basis for further refinement of the Logical Architecture. The differentiation between logical and physical architectures has ensured that the design stays at the logical space and the team focuses on defining the problem space. This approach has improved interface management process, by creating model-based interface documents, using the model as ‘single source of truth’ to achieve consistency. The architecture definition activities allowed early formalisation of the textual requirements, to drive detailed engineering design in the next phase.
Adopting Capella comes with challenges - one of which stems from the unique characteristic of the concept phase – the need to generate architectural variants and evaluating them. The framework and the language are limited in performing variant modelling, a topic UKAEA plans to investigate further. Another challenge was that middle-out approach was favoured for STEP whereas Arcadia method prefers the top-down approach.
Throughout this journey, adopting Capella with its use-friendly interfaces has allowed us to better engage with the programme in the MBSE approach and indoctrinate better SE practices.
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
CapellaDays2022 | NavalGroup | Closing the gap between traditional engineerin...Obeo
Closing the gap between traditional engineering and digital-native model-based driven engineering requires helping engineers to embrace new techniques. Naval Group decided to tackle the following issues: lack of interoperability with other systems, lack of bridge between functional definitions in PID schemas and MBSE physical layers, lack of documenting cross-layers relationships for a specific object's type.
In the last three years CILAS has been tailoring and applying the Arcadia methodology to several international projects related to complex optronics products development. Even though the implementation is not yet thorough and systemic within the company, CILAS is already reaping benefits of this approach on several fronts (e.g. communication, identification of optimization opportunities, knowledge capitalization etc). All in all Arcadia is a powerful methodology that significantly helps CILAS reinforcing its core skills and meeting its objectives in very challenging sectors.
STPA Analysis of Automotive Safety Using Arcadia and CapellaDavid Hetherington
This presentation demonstrates the use of the Arcadia methodology and the open source Capella tool to implement a STPA-based analysis technique that augments the conventional HARA, HAZOP. The STPA approach extends the conventional methods to include a holistic perspective considering hardware, software, humans, and control failures in a balanced manner.
Delivered by David Hetherington and Pascal Roques at the ERTS 2022 conference in Toulouse, France on 1 June 2022.
MBSE with Arcadia method step-by-step Physical Architecture.pdfHelder Castro
The objective of the Physical Architecture in defining the “real” concrete components that comprise the system. To start the Physical level based on the Logical level, Capella proposes transitions similar to those that we used when we went from the Operational Analysis to the System Analysis, then from the System Analysis to the Logical Architecture. Thus, it can be created as many Physical Functions as Logical Functions, by also keeping the Functional Exchanges and Functional Chains.
Strategies and Tools for Model Reuse with CapellaObeo
How to manage libraries and building blocks?
Reusing models or parts of models with Capella
is not only conceptually appealing, it is a real productivity enabler.
But it is also a true challenge!
Technical solutions initially dedicated to simple duplication
and synchronisation of model parts have recently evolved
and now enable multiple, classical use cases of reusing models.
In this webinar, we will illustrate:
How the Capella technology of replicable elements (aka REC/RPL) both enables
flexible design workflows (including instance-driven modeling) and
makes possible the modeling of architectures by assembly of building blocks.
How Yuzu leverages Capella to help manage the life-cycle
of building blocks and model assets, their dependencies,
their versioning, their publication, etc.
Simplifying MBSE Tasks with Capella and MapleMBSEObeo
Discover how to use Excel-based interfaces to collaborate on Capella models
MapleMBSE 2020.1 adds support for Capella. Organizations using Capella can now edit models within MapleMBSE, allowing them to simplify MBSE tasks and increase engagement with MBSE processes at their company.
During this webinar, you will see how to work with a Capella systems model using MapleMBSE
The demonstration will highlight how all stakeholders can collaborate through the systems model using task-specific, Excel-based interfaces found in MapleMBSE.
Modeling & Simulation of CubeSat-based Missions'Concept of OperationsObeo
Discover how Arcadia/Capella is used to model and simulate concept of operations scenarios for CubeSat-based missions. During this webinar, Danilo Pallamin de Almeida, who worked as a Space Systems Engineer for the NanosatC-BR2 mission at INPE, the Brazilian Institute for Space Research, will present how CubeSat-based missions have been modeled with Capella.
The model describing an initial architecture mission and concept of operations (CONOPS) is used to generate a script that configures a satellite simulator with the corresponding mission parameters.
You will see how it allows the INPE to:
- run concept of operations scenarios simulations,
- use the results for power/data-budget analyses and trade studies
Capella Days 2021 | Enhancing CubeSat design through ARCADIA and Capella: a c...Obeo
The new space economy asks for an overall improvement of systems engineering practices due to aggressive development time and complex systems design, implementation and operation by a number of players who grow with mission complexity. The talk proposes a critical analysis of a Model-Based Systems Engineering approach using ARCADIA and the Capella tool, applied to real CubeSat mission, with the aim of showing potentials and lacks.
Firstly, the way requirements are managed and traced using the Requirements Viewpoint is presented, highlighting the necessity of having a dedicated diagram for the trees generation; a solution to that is proposed in order to easily trace backwards requirements whenever needed. Following the ARCADIA method, the approach begins with the high-level objectives definition through the Operational Analysis, moving to a first internal functional analysis exploiting the second level of Capella, the System Analysis. The Logical Architecture is then developed introducing the concept of subsystem, leading to big decisions which will drive the successive Physical Architecture. The latter opens the road to all CubeSat components modeling using the concept of Node Physical Component, together with physical interfaces definition. Great use of all Capella concepts is done, such as Functional Chains, Control Functions, Replicas, Basic Mass and Price Viewpoints etc.
As the approach has been applied to a real space project, Phases and Modes have also been modeled exploiting respectively Scenario Diagrams, also used to define mission Concept of Operations, and State Machine Diagrams. Some thoughts oriented toward an improvement of the Modes management will be discussed. Lastly, ARCADIA and Capella do not provide a proper way of dealing with Assembly, Integration, Verification and Testing activities within the same architectural model, therefore an innovative approach is proposed and discussed to include such aspects in the model.
MBSE with Arcadia method step-by-step Operational Analysis.pdfHelder Castro
The article will explore the Arcadia Operational Analysis layer to capture stakeholder (e.g., users, environment, other systems) and business needs, a reasoned step-by-step activities and artefacts (i.e., diagrams) that can be produced to help during the stakeholders elicitation process helping to explore needs and identify gaps in the analysis; the full MBSE with Arcadia step-by-step is not described in this article, but it has extended to all Arcadia layers (i.e., System Analysis, Logical and Physical Architecture) and it can be used in projects for defining and guiding in the initial project activities and artefacts to be produced from the model.
The Operational Analysis as mentioned in the previous article, aims at capturing what the user of the system needs to accomplish, hence, the Operational Analysis normally starts by identifying who the users (i.e., Operational Entities and/or Operational Actors) of the future system are, and any containment relationship between them.
CapellaDays2022 | Thales DMS | A global engineering process based on MBSE to ...Obeo
Project Challenges
functional and non-functional requirements
big team, multi-business units, and multi-geographical sites
MBSE skills development
...
Project engineering process based on MBSE
multi-level MBSE approach (SSS, SSDD, transition to sub-systems, ...)
incremental engineering and AGILE development
engineering artefacts used and how they're linked (ARCADIA, conventional and AGILE artefacts)
Feed Forward
Our successes and pains
What we expect from Capella for the coming years
From Model-based to Model and Simulation-based Systems ArchitecturesObeo
Achieving quality engineering through descriptive and analytical models
Systems architecture design is a key activity that affect the
overall systems engineering cost. It is hence fundamental
to ensure that the system architecture reaches a proper quality.
In this paper, we leverage on MBSE approaches and complement them
with simulation techniques, as a prom-ising way to improve the quality of the system architecture definition, and to come up with inno-vative solutions while securing the systems engineering process.
Discover how to do model execution in Capella, and how to embed digital mockup inside functions to do 'system simulation' with a higher confidence.
A common need in system architecture design is to verify
that the architect is correct and can satisfy its requirements.
Execution of system architect model means to interact with
state machines to test system’s control logic.
It can verify if the logical sequences of functions and interfaces
in different scenarios are desired.
However, only sequence itself is not enough to verify
its consequence or output.
So we need each function to do what it is supposed to do
during model execution to verify its output. That's what we called 'system simulation'.
[Capella Day 2019] Model execution and system simulation in CapellaObeo
A common need in system architecture design is to verify that if the architect is correct and can satisfy its requirements. Execution of system architect model means to interact with state machines to test system’s control logic. It can verify if the logical sequences of functions and interfaces in different scenarios are desired.
However, only sequence itself is not enough to verify its consequence or output. So we need each function to do what it is supposed to do during model execution to verify its output, and that is what we called “system simulation”.
This presentation introduces how we do model execution in Capella, and how to embed digital mockup inside functions to do “system simulation” with a higher confidence.
Renfei Xu, Glaway
Renfei Xu is the technical manager of MBSE solution in Glaway. He has participated in many pilot projects of MBSE in areas like Engine Control, Avionics, Mechatronics and so on. In recent years, he is responsible for the deployment of MBSE using Capella and ARCADIA methodology in a Radar research institute.
Wenhua Fang, Glaway
Wenhua Fang is the Director of Systems Engineering in Glaway. He has more than 12 years of working experience in SE.
He is responsible for more than 10 implementation projects of MBSE in areas like Aircraft, Engine Control, Avionics, Automotive and so on. In recent years, he leads the team to deploy MBSE in China(including using Capella and ARCADIA methodology).
This paper presents the modeling and real-time simulation of an induction motor. The RT- LAB simulation software enables the parallel simulation of power drives and electric circuits on clusters of a PC running QNX or RT- Linux operating systems at sample time below 10 µs. Using standard Simulink models including SimPowerSystems models, RT-LAB build computation and communication tasks are necessary to make parallel simulation of electrical systems. The code generated by the Real-Time Workshop of RT- LAB is linked to the OP5600 digital real-time simulator. A case study example of real-time simulation of an induction motor system is presented.This paper discusses methods to overcome the challenges of real-time simulation of an induction motor system synchronizing with a real-time clock.
Matlab Based High Level Synthesis Engine for Area And Power Efficient Arithme...ijceronline
Embedded systems used in real-time applications require low power, less area and a high computation speed. For digital signal processing (DSP), image processing and communication applications, data are often received at a continuously high rate. Embedded processors have to cope with this high data rate and process the incoming data based on specific application requirements. Even though there are many different application domains, they all require arithmetic operations that quickly compute the desired values using a larger range of operation, reconfigurable behavior, low power and high precision. The type of necessary arithmetic operations may vary greatly among different applications. The RTL-based design and verification of one or more of these functions may be time-consuming. Some High Level Synthesis tools reduce this design and verification time but may not be optimal or suitable for low power applications. The developed MATLAB-based Arithmetic Engine improves design time and reduces the verification process, but the key point is to use a unified design that combines some of the basic operations with more complex operations to reduce area and power consumption. The results indicate that using the Arithmetic Engine from a simple design to more complex systems can improve design time by reducing the verification time by up to 62%. The MATLAB-based Arithmetic Engine generates structural RTL code, a testbench, and gives the designers more control. The MATLAB-based design and verification engine uses optimized algorithms for better accuracy at a better throughput.
MODELLING, ANALYSIS AND SIMULATION OF DYNAMIC SYSTEMS USING CONTROL TECHNIQUE...shivamverma394
Mechatronics project. Modelling and simulation of a mechanical system. Comparing mechanical systems to control systems. Basics of MATLAB and SIMULINK using control sytems. Designing PID controller in matlab and identifying first order and second order systems. Various step responses of different order systems. Bode plot and root locus diagram of a pid controller.
Link to the research paper:
https://www.researchgate.net/publication/233796273_MATLAB_and_Simulink_in_mechatronics_education
This presentation from PrismTech's Spectra SDR CTO, Dr Vince Kovarik, describes the current work being performed by the Wireless Innovation Forum’s Integrated Communications Systems Model (ICSM) project.
INCOSE IS 2023 | You deserve more than the best in class MBSE toolObeo
As Model-Based Systems Engineering (MBSE) becomes more widely adopted in industry, projects involving collaborating teams require efficient collaboration and coordination. This talk will explore the challenges of industrializing MBSE projects and present solutions using the Capella modeling tool. We will discuss how the Cloud for Capella, Publication for Capella and Team for Capella extensions can support effective collaboration and communication among stakeholders working on MBSE projects. These extensions enable all project participants to remain aligned and up-to-date with project progress, ensuring that the project runs smoothly and efficiently. By the end of the talk, attendees will have a better understanding of how to industrialize MBSE projects and the role Capella can play in supporting these efforts.
Biography: Stephane Lacrampe
Stephane Lacrampe co-founded Obeo in 2005 in France and acted as the company's CEO until 2018. Obeo is an independent software vendor with a global reach, leading in open-source modeling software for system and software engineers, enterprise architects, and domain modeling experts. He is now the director of Obeo Canada. He is a very active member of the Capella community and is in charge of developing the Capella ecosystem in North and South America. He is a regular MBSE speaker who speaks at conferences in America and beyond. Stephane LACRAMPE is co-chair of the INCOSE Systems Engineering Tools Database Working Group and the INCOSE Canada chapter webmaster.
CapellaDays2022 | COMAC - PGM | How We Use Capella for Collaborative Design i...Obeo
COMAC is one of the leading suppliers of civil aircraft in the world. We will introduce how we use Capella in COMAC for collaborative design, including how to collaborate between overall design group and ATA design groups, and how to collaborate between different ATA design groups. We have done a series of extension development based on the System to Subsystem Transition add-on, to support the business process. These extensions include the integration from subsystem models to system model, the refinement of functional exchanges, the synchronization of newly added functional exchanges, and so on.
CapellaDays2022 | SIEMENS | Expand MBSE into Model-based Production Engineeri...Obeo
Mind Game: You want to build a LEGO Mindstorms Factory for Toy Cars and you are Head of Factory Planning. You identify that your manufacturing planning team and your product design team don’t collaborate with each other, because they work in silos and speak different languages. Their progress is too slow and the results are not synchronized.
Imagine: You succeed in merging your experts into one interdisciplinary team where everyone is collaboratively working together – already in the early stages of the engineering cycle. And imagine they start to speak the same language. Doubtless, you would speed up your engineering process. Furthermore, you would also reach a synchronized global solution for your manufacturing system and to be produced toy cars, building bridges inside your organization.
But how? This has been introduced by Dr.-Ing. C. Sinnwell in February 2020 in her PhD-thesis. There, she published the latest version of a methodology referred to as “MBPE – Model-Based Production Engineering”. The MBPE-methodology is a new approach for the conceptual design of manufacturing systems based on early product information supported by MBSE using UML.
The presentation will spotlight the MBPE-methodology, explaining how to use MBSE in the context of interdisciplinary factory and manufacturing planning. Also, it will be shown, how the methodology could be adapted to be realized with Eclipse Capella instead of any UML-modeling tool, illustrated by an example on how to conceptualize and model a LEGO Mindstorms production line for Toy Cars.
Gestion applicative des données, un REX du Ministère de l'Éducation NationaleObeo
Gestion applicative des données, un REX du Ministère de l'Éducation Nationale
Slides du webinaire IS Designer du Jeudi 10 Novembre 2022.
Une approche de modélisation et de
génération automatique avec IS Designer.
Le pôle de Versailles du Ministère de l'Éducation Nationale a utilisé l'outil open-source Information System Designer sur plusieurs projets à portée nationale pour modéliser les bases de données et les couches applicatives d'accès aux données (DAO).
Ce retour d'expérience sera présenté en détail lors de ce webinaire :
✔ la démarche mise en place,
✔ comment l'outil a été utilisé,
✔ les bénéfices constatés.
"Pour la dizaine de développeurs impliqués sur ces projets, la production automatique des Tests Unitaires a aussi permis de s'approprier plus facilement le socle technique, grâce à une approche par l'exemple, mais également d’avoir une assurance de non régression sur les fonctionnalités produites."
Sirius Web Advanced : Customize and Extend the PlatformObeo
Beyond the no code approach, Sirius Web is an open and extensible platform that you can customize in order to support your needs. Discover how to develop specific features in Sirius Web and integrate your modeler with other web applications.
Stéphane Bégaudeau, Obeo
Stéphane Bégaudeau graduated from the Nantes University of Sciences and Technology and is currently working as an Eclipse Modeling consultant at Obeo in France.
Sirius Web 101 : Create a Modeler With No CodeObeo
Learn step-by-step how to create a domain model and define your first diagrams with Sirius Web, without any line of code. It will allow you to easily create custom graphical representations that automatically represent your data in the web.
Frédéric Madiot, Obeo
Frédéric Madiot is Marketing Manager at Obeo. He has more than 25 years of experience in developing model-driven tools to industrialize the development of new applications and the modernization of existing systems.
What's new in Sirius Web ? Discover the current version and what will come in the next releases.
Mélanie Bats, Obeo
Mélanie Bats works as CTO at Obeo. In my daily work, I am mainly focused on managing the R&D team, creating products based on our own open source technologies. I am used to work in the development of modeling tools with Sirius like UML Designer. I am committer for the EEF and the Sirius projects. I am also involved in the Eclipse community as being the Eclipse Planning Council chair. I am also a free software activist who has organized and participated in free software events in the Toulouse area.
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Si...Obeo
Visualizing, Analyzing and Optimizing Automotive Architecture Models using Sirius
Advancing digitalization affects almost all aspects of our modern world. A prominent example is that of modern automobiles. From primarily mechanical machines, cars have evolved into driving complex cyber-physical systems over the last decades. Optimizing such systems consisting of vast networks of sensors, actuators, control units, and communication systems is a huge challenge for today's automotive industry and requires standardized and integrated toolchains fit for purpose. Together with a prestigious automotive industry partner, the Technical University of Ilmenau developed an application together with an integrated toolchain for evaluating and optimizing automotive architecture models. This application is based on the Obeo Sirius project as well as the Eclipse Modeling Framework. Based on Sirius, we created a model editor which is used for visualizing, editing, but also analyzing and optimizing automotive models across the boundaries of different architectural layers.
Maximilian Hammer, Technical University of Ilmenau
Maximilian Hammer is a Research Assistant at Technical University of Ilmenau
The openCAESAR project provides an EMF-based implementation of the Ontological Modeling Language (OML), which simplifies the use of semantic web ontologies for modeling and analysis. An OML model can be either be a vocabulary model that defines the terms and rules in a business domain with precise syntax and logical semantics, or can be a description model that uses that vocabulary to describe knowledge. OML has successfully been used at the Jet Propulsion Laboratory (JPL) in the context of Model Based Systems Engineering (MBSE), specifically to define the JPL systems engineering methodology in a highly modular and extensible way. Sirius has been used to define the authoring viewpoints that support such methodology. In this talk, we present how OML and Sirius can be used together, through the OML Rosetta Workbench, to streamline the development of an ontology-based modeling methodology and the authoring tools for it. The ideas will be demonstrated on a small example.
Maged Elaasar, NASA - Jet Propulsion Laboratory
Maged Elaasar is a Senior Software Systems Architect at NASA’s Jet Propulsion Laboratory (JPL) at the California Institute of Technology (Caltech). He technically leads a JPL-wide strategic R&D program called Integrated Model Centric Engineering (IMCE). Prior to that, Maged was a Senior Software Engineer at IBM, where he led the R&D of various software and systems modeling technologies. Maged is also the founder of Modelware Solutions, a company based in California that provides development, consulting, and training services in the area of model based engineering (MBE)
Development of DSL for Context-Aware Mobile ApplicationsObeo
In recent years, technological growth has been exponential in relation to mobile devices (such as embedded sensors as GPS or accelerometer) that has allowed developing context-aware mobile applications for the market. This growth generates a new challenge about how to support the creation of this kind of application in order to adapt them to the user’s current demand. There are at present several approaches that could be used to create context-aware mobile applications, but these approaches are not designed to support variability in the kind of generated applications.Our aim is to propose a building tool that allows generating a wide variety of applications. Our tool has been designed from scratch considering a taxonomy of variability concepts (relevance, combination, precision and accuracy’s margins, configuration type, and execution type) which help to identify the potential variability points to obtain more flexible building approaches.
Estevan Gomez, Universidad de las Fuerzas Armadas - ESPE
Estevan R. Gómez-Torres, PhD (c) Universidad Nacional de la Plata Argentina, Master in Systems Management and Systems Engineering from Universidad de las Fuerzas Armadas 'ESPE' in Quito-Ecuador. His field of work and research include lines such as: Big Data, Internet of Things, Project Management, Development of mobile applications in contexts, Artificial Intelligence, Data Analytics, Machine Learning, Smart Cities.
SimfiaNeo - Workbench for Safety Analysis powered by SiriusObeo
Safety Analysts produce fault trees to perform Reliability, Availability, Maintainability and Safety (RAMS) studies of systems (vehicles, plants, electrical networks, etc.). Because systems are more and more complex, creating, reviewing and maintaining fault trees are tedious tasks. Model-Based Safety Analysis (MBSA) allows to add dysfunctional behaviors and failure propagation on top of an existing system design coming from a MBSE tool. SimfiaNeo is a MBSA software based on Eclipse RCP, Eclipse Sirius and other Eclipse modeling tools. SimfiaNeo abstracts the AltaRica language to provide an user friendly graphical modeler to design, validate and compute RAMS studies.
In this session, we will show SimfiaNeo in action. How we customized Eclipse UI to take advantage of the full potential of Sirius while keeping it as simple as possible for adoption by non Eclipse users.
How we reused compoments coming from the previous MBSA tool (SIMFIA, which was not based on Eclipse). How we manage large number of data stored outside the EMF model but linked to it.
Yann Mortier, APSYS - Airbus Group
Yann Mortier is currently working as lead developer of SimfiaNeo in Apsys.
Xavier de Bossoreille, APSYS - Airbus Group
Xavier de Bossoreille is currently working as MBSA specialist and product owner of SimfiaNeo in Apsys.
Get into MBSE-MBSA process with a dedicated toolchainObeo
E/E systems and cyber-physical systems are carrying out more and more advanced and safety critical features in many domains such as transport, energy, industry, farming, medical, etc. Therefore, during last few years, to manage the development of those complex systems, companies have moved from a document-based approach to a model-based approach associated with very specific tools.
However, system and safety engineering, and some other related engineering domains like cybersecurity for instance, are still too often conducted independently, whereas safety and system attributes are largely interdependent. There is a need to foster greater collaboration between these disciplines to avoid errors and also to maintain time-to-market.
That's why since several years, ALL4TEC, with its safety analysis tool Safety Architect, has been working to connect its tool with system solutions to couple MBSE and MBSA. The goal is to better ensure consistency between system design and safety analysis.
During this talk, ALL4TEC will present its Capella add-on that allows annotation of Capella models with basic safety information, smart export and dynamic connection to share data between Capella and Safety Architect to support MBSE-MBSA.
2022, here we are! It's the perfect time to take a look back at 2021 and make plans for 2022!
In this webinar, Juan Navas presents the major events of 2021, the roadmap for 2022, and the main features included in the latest version of Capella, but also reviews the ecosystem's innovations and the evolutions of the add-ons
Juan Navas is MBSE Expert in Thales Corporate Engineering. He leads the team that accompanies managers and architects implement MBSE practices on operational projects to improve their engineering performance. He is a System Architect with +10 years’ experience, he holds a PhD in Computer Science, an MSc in control and computer science, and Electronics and Electrical Engineering Degrees.
Générez automatiquement vos diagrammes d'architecture | Webinaire Obeo SmartEAObeo
Comment assurer une certaine cohérence des données dans un référentiel d'architecture, et produire à grande échelle des représentations graphiques pertinentes ?
Obeo SmartEA 6.3 apporte deux nouvelles fonctionnalités permettant de répondre à ce besoin :
- des stéréotypes pour cadrer les propriétés dynamiques ArchiMate,
- des templates pour générer des diagrammes spécifiques.
Découvrez ces nouveautés et leur mise en œuvre sur un cas concret : la création d'un catalogue de services applicatifs.
Capella (once again) in space, meeting nanosatellitesObeo
Previously, Capella models (slightly extended by new features dedicated to system test specification) was used by the French Space Agency (CNES) to demonstrate that the current document-centric process could be improved. Applied on the “Space Variable Objects Monitor (SVOM)” operational use case, it helped the CNES in the definition and the validation of its future space system dedicated to the gamma ray detection and study. Proof being made, Kineis, created by the CNES and the CLS, reiterates the experience and continues to make it a strategic technology for science. Its current challenge is to add 25 state-of-the-art nano-satellites to the existing system to enhance IoT capabilities and address new markets. In line with the CNES Capella experience, Kinéis decided to build its “System Test” process on Capella. The extendibility and the flexibility of Capella nevertheless allowed them to carry on the previously initiated toolchain in order to cover the full process and support more use cases.
Jonathan Lasalle (Artal / Magellium)
- In charge of MBSE-related activities at Artal / Magellium
- Architect of the Citrus framework dedicated to model-based test mean engineering
Identifier et suivre les applications à risque pour des processus métier | We...Obeo
Quelles sont les applications du SI dont l'obsolescence technique menace la bonne exécution de certains processus métier?
Répondre à cette question, et gérer les situations à risque, nécessite de pouvoir s'appuyer sur un référentiel de données fiables et exploitables qui décrivent le SI et ses liens avec le métier.
Après un premier webinaire il y a quelques mois, consacré à la collecte des données, Romain Guider vous propose un deuxième webinaire pour discuter de l'exploitation de ces données, dans le cadre d'une gestion de l'obsolescence applicative.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
3. System
Engineering
3
Shanghai PGM Technology Co., Ltd.
PGM is short for Pu Gou Moutain, which is a mountain full of treasure, record in “Shan Hai Jing” (Classic
of Mountains and Rivers, the earliest annals of geography in China, about 2,500 years ago).
4. System
Engineering
4
Shanghai PGM Technology Co., Ltd.
PGM is a leading provider of MBSE solution and consulting service in China.
• MBSE training
• MBSE-transition
consulting
• RE training
• Software
development
process consulting
• Implementation
of MBSE solution
• Implementation
of RE solution
• Implementation
of ALM solution
• Support of
MBSE System
• Support of RE
System
• Support of ALM
System
• Co-Design of
complex systems
as MBSE experts
• Review MBSE
models of
complex systems
Consulting IT Implementation IT Support Co-Design
6. System
Engineering
6
1. Modeling and transition of the overall requirements model
2. Modeling of ATA system models
3. Integration to the overall integration model
Overall Requirements Model
OA
SA
LA
ATA System Models
LA
PA
SA
Transition
Integration of LA
LA
Integration of PA
PA
Overall Integration Model
Overview Of Our Solution in COMAC
9. System
Engineering
9
Motivation
Challenge: how to verify the
architecture design is correct?
• Is the mode and state machine
consistent with scenarios?
• Is the function decomposition
appropriate?
• Can the coordination of
various functions achieve the
desired results?
• …
Consistency ?
Correctness ?
10. System
Engineering
10
Solution
ü An extension to make state machine and functional data flow executable. Use a control panel to interact with the excuting
model, and automatically record execution process as a scenario. Judge if the sequence of functions and interactions is
desirable by comparing manual scenarios and auto-record scenarios.
ü During state machine and functional data flow execution, MATLAB® or Python code (Modelica and other simulation languages
under development) embedded in functions can be directly invoked to simulate the operation effect of the architecture.
11. System
Engineering
11
Main Features of DESS Add-on
• Execution and animation of statemachines
• Execution of functional date flows
• Auto-generation of scenarios
• System simulation with MATLAB® or Python code embedded in functions
• Export of SCXML based on statemachines
13. System
Engineering
13
Execution Rules of State Machine (1/3)
Based on Mealey machine, as
follows:
• The trigger of transition can be
functional exchange, time event
or change event
• The guard of transition can
directly reference property
values from relative component
• Different state machine can use
“Gen” mechanism to trigger
each other
14. System
Engineering
14
Execution Rules of State Machine (2/3)
When transition occurs, the sequence of function
and Gen is as follows:
1. Execute do function of pre-state
2. Generate doGen Trigger of pre-state
3. Trigger arrives
4. Guard of transition can reference property value
5. Execute exit function of pre-state
6. Generate exitGen Trigger of pre-state
7. Execute effect function of transition
8. Generate effectGen Trigger of transition
9. Execute entry function of post-state
10. Generate entryGen Trigger of post-state
15. System
Engineering
15
Execution Rules of State Machine (3/3)
Display rules during execution are as follows:
• Current state/mode is highlighted by red
• Transition to current state is highlighted by
yellow
• States/modes and transitions that have been
through are highlighted by grey
• States/modes and transitions that have not
been through display as default
The process of execution will be record as scenarios automatically
16. System
Engineering
16
Our extension can support execution of function data flow other
than mode/state machine. The rule is based on Petri-net, as
follows:
• Add initial node, the function connected to initial node will be
executed at first
• The beginning condition of a function’s execution is that all input
ports has at least one token
• The execution of function will consume one token on each input port
• After execution, a function will produce one token on each output
port
• A token will move from the output port to the input port immediately
after it is produced
• The process of execution will be record as scenarios automatically
Execution Rules of Function Data Flow
Execution Execution
Execution
17. System
Engineering
17
Execution Rules of the Whole Model
If some components have MSM while others don’t, our extension can make a hybrid-execution of state machine rule
and function data flow rule:
• Components with MSM will execute under state machine rule, and others under function data flow rule
• At the border between state machine rule and function data flow rule, triggers in state machine are equal to tokens in function
data flow
18. System
Engineering
18
Control Panel
Users can use control panel to interact with
mode/state machines during execution:
• Select the target to send triggers
• Select the trigger to be sent, and send it
• Define the value of the trigger to be sent ( the
value will be used when relative function has
embedded M code )
• History of triggers that have been sent during
execution
19. System
Engineering
19
MATLAB® or Python Code Embedded in Function
Users can invoke MATLAB®/Python editor to edit embedded code by
function’s right-click menu:
• The first several lines of MATLAB®/Python function is auto-generated, re-
using function name and functional input/output
• Property value and exchange item of relative component and function
can be referenced
• Breakpoints can be added in the codes to debug while execution
Users can also create Capella functions by existing simulation codes.
20. System
Engineering
20
Display Options for Execution
• The number of functions and interfaces
invoked in execution for a real system
simulation is very large (from thousands to
millions). Sometimes it’s impossible to
highlight MSM and update scenarios in real
time. So we need display options to improve
execution efficiency in some cases.
• If the real-time update option is closed, the
execution process will be record as xml file,
which can be partially inserted into scenario
after execution.
23. System
Engineering
23
Logical Architecture of a Simple System
This simple system has a controller and an engine. The manual order from the
operator will be parsed by the controller and delivered to the engine.
26. System
Engineering
26
Embedded Python Code for Function parseOrder
Property value from Capella model
can be referenced by “propertyData”
in Python codes.
Exchange Item from Capella model
can also be refenrenced by
“exchangeItemData” in Python codes.
29. System
Engineering
29
Introduction to MPAR Example
• MPAR (Multi-Functional Phased Array Radar)
performs both scanning (searching) and
tracking tasks. Most of its simulation codes
come from MPARSearchTrackExample in
MATLAB® 2019a.
• This example intends to show how to use
DESS to do system simulation. It’s not about
how to design a real phased array Radar. So it
only uses baseband signal, and simplified
signal processing. - This picture comes from MATLAB® 2019a
30. System
Engineering
30
Logical Architecture of MPAR
• MPAR consists of five subsystems:
Radar managing subsystem,
antenna subsystem, signal
processing subsystem, data
processing subsystem and display
subsystem. MPAR will search,
confirm and track targets under the
control of simulation configurator.
• Radar managing subsystem,
antenna subsystem and simulation
configurator has MSM, while others
don’t.
31. System
Engineering
31
MPAR MSM: Simulation Configurator
• After receiving StartOrder from simulation
controller, simulation configurator will
initialize MPAR simulation environment,
and send initialization signal to different
subsystems.
• When simulation is on, the configurator will
update simulation time at the end of each
dwell.
32. System
Engineering
32
MPAR MSM: Radar Managing Subsystem
• After receiving initialization
signal, Radar managing
subsystem will initialize job
queue, and enter working mode.
• In working mode, Radar
managing subsystem will get
current job at the beginning of
each dwell, and provide job
information and beam direction
to other subsystems.
33. System
Engineering
33
MPAR MSM: Antenna Subsystem
• After receiving initialization signal, antenna subsystem will initialize the phased array, and enter Stand_By mode.
• In each dwell, antenna subsystem will working through Transmitting mode and Receiving mode for every pulse,
until all pulses are finished.
36. System
Engineering
36
Values of System Simulation by DESS
The consistency between system architecture design and
system simulation is guaranteed.
The granularity of system simulation code is refined to
function level, which is better to maintain and reuse.
It gives engineers a chance to simulate the rough behavior of
system in a very early stage, with no detailed design.