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.
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.
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.
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.
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.
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 | 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 | 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
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.
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.
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.
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.
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.
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 | 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 | 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
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.
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.
[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)
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.
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.
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.
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.
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.
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.
ASML is the world's leading provider of lithography systems for the semiconductor industry. Such systems are controlled by more than 20 million lines of code. To improve the efficiency and quality of its software development process, ASML is using, amongst others, model-driven-engineering and associated tools and techniques.
Recently, subsystems are being developed according to an architecture pattern that separates Data, Control and Algorithms (DCA). To support this pattern, the ASML software architecture group is working towards a SW development environment (ASOME). This environment consists of a set of modeling languages, associated editors that allow specification of (sub)systems according to this DCA pattern. Furthermore, it contains model-to-model transformations to (COTS) analysis tools (e.g. model checkers) and model-to-text transformation to generate (parts of) the implementation.
In this presentation, I will briefly introduce ASML and the kind of (software) systems that we develop. Some aspects of the DCA architectural pattern, the languages that we are developing and the associated Sirius based editors, will be presented. For the Data part, a DSL and editor have been developed allowing the definition of various kinds of datatypes from which various kinds of repositories can be generated supporting clone based data or reference based data, modifiable and read-only entities etc. In order support the Control aspect; a language and editor have been defined that allow specification of interfaces and their realization based on state machines. A system editor allows decomposition of a system into subsystems while allowing delegation of incoming requests to internal parts. The editors are mostly Sirius based graphical editors, where the created models are persisted textually using XText.
The presentation will focus on sharing some of our experiences with both the development and deployment of products based on Sirius technology. Building the ASOME environment imposes many challenges and I would like to conclude with some that specifically target the development of the front ends of this environment.
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.
[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).
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.
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.
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.
Rolls-Royce UseCase: Capella for large complex mechanical systemsObeo
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
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.
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
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
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.
Spark Summit 2020 Talk
In the last few years, deep learning has achieved dramatic success in a wide range of domains, including computer vision, artificial intelligence, speech recognition, natural language processing and reinforcement learning. However, good performance comes at a significant computational cost. This makes scaling training expensive, but an even more pertinent issue is inference, in particular for real-time applications (where runtime latency is critical) and edge devices (where computational and storage resources may be limited). This talk will explore common techniques and emerging advances for dealing with these challenges, including best practices for batching; quantization and other methods for trading off computational cost at training vs inference performance; architecture optimization and graph manipulation approaches.
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.
[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)
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.
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.
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.
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.
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.
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.
ASML is the world's leading provider of lithography systems for the semiconductor industry. Such systems are controlled by more than 20 million lines of code. To improve the efficiency and quality of its software development process, ASML is using, amongst others, model-driven-engineering and associated tools and techniques.
Recently, subsystems are being developed according to an architecture pattern that separates Data, Control and Algorithms (DCA). To support this pattern, the ASML software architecture group is working towards a SW development environment (ASOME). This environment consists of a set of modeling languages, associated editors that allow specification of (sub)systems according to this DCA pattern. Furthermore, it contains model-to-model transformations to (COTS) analysis tools (e.g. model checkers) and model-to-text transformation to generate (parts of) the implementation.
In this presentation, I will briefly introduce ASML and the kind of (software) systems that we develop. Some aspects of the DCA architectural pattern, the languages that we are developing and the associated Sirius based editors, will be presented. For the Data part, a DSL and editor have been developed allowing the definition of various kinds of datatypes from which various kinds of repositories can be generated supporting clone based data or reference based data, modifiable and read-only entities etc. In order support the Control aspect; a language and editor have been defined that allow specification of interfaces and their realization based on state machines. A system editor allows decomposition of a system into subsystems while allowing delegation of incoming requests to internal parts. The editors are mostly Sirius based graphical editors, where the created models are persisted textually using XText.
The presentation will focus on sharing some of our experiences with both the development and deployment of products based on Sirius technology. Building the ASOME environment imposes many challenges and I would like to conclude with some that specifically target the development of the front ends of this environment.
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.
[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).
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.
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.
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.
Rolls-Royce UseCase: Capella for large complex mechanical systemsObeo
Rolls-Royce is a pre-eminent engineering company focused on world-class power and propulsion systems.
This webinar will discuss how Rolls-Royce is using Arcadia / Capella to define the architecture of a large civil aerospace turbofan engine. MBSE promises to help manage system complexity and minimise the associated risk.
This webinar was driven by Jim Daly:
Jim Daly has nearly forty years’ experience in aerospace engine development: fuel systems; control systems; software development; process improvement and thirteen years in current role as a System Architect at Rolls-Royce, responsible for control system and whole engine architecture and since 2016 deployment of MBSE.
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.
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
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
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.
Spark Summit 2020 Talk
In the last few years, deep learning has achieved dramatic success in a wide range of domains, including computer vision, artificial intelligence, speech recognition, natural language processing and reinforcement learning. However, good performance comes at a significant computational cost. This makes scaling training expensive, but an even more pertinent issue is inference, in particular for real-time applications (where runtime latency is critical) and edge devices (where computational and storage resources may be limited). This talk will explore common techniques and emerging advances for dealing with these challenges, including best practices for batching; quantization and other methods for trading off computational cost at training vs inference performance; architecture optimization and graph manipulation approaches.
Scaling up Deep Learning by Scaling DownDatabricks
In the last few years, deep learning has achieved dramatic success in a wide range of domains, including computer vision, artificial intelligence, speech recognition, natural language processing and reinforcement learning.
training report_of_solid_works_and_autocad(Major Training)abushama99
2 month software training report on Autocadd & solidworks
its major or Minor Training report
#solidworks
#Autocadd
@autocadd
45 days/60 days software training report
shahjahan siddiqui
Digital enterprise intro requirements collaboration for elec v11 may 2020Trey Reeser
Digital Enterprise - Collaboration Productivity Xcelerator.
See how Siemens Xcelerator is a catalyst for the Digital Enterprise. View what kind of impact that can have on a business that sets out to transform and become a Digital Enterprise. Consider how to change your business to maintain high productivity levels with remote workers.
Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this presentation you’ll learn about:
- Why on-device AI is key
- Full-stack AI optimizations to make on-device AI possible and efficient
- Advanced techniques like quantization, distillation, and speculative decoding
- How generative AI models can be run on device and examples of some running now
- Qualcomm Technologies’ role in scaling on-device generative AI
Mechanical Engineer having experience of 4+ years in design & development of different products like machining fixture, ATM machines & Electrical Switchgears.
An efficient and hardworking team player with a comprehensive understanding of design and manufacturing processes.
Having CAD proficiency in making 3D modelling & 2D drawings.
Good understanding of various manufacturing processes.
Solid technical and practical background in Design, Machining and Fabrication of mechanical equipment.
Good Understanding of Design for Assembly (DFA), Design for Manufacture (DFM)
Strong knowledge in 3D/2D modeling (Proficient in Pro/E Wildfire, Creo 2.0, NX 11.2 and AutoCAD 2018 ),dimensional Tolerance, BOM Creation, working with Windchill, e-Matrix, PRISMA, Teamcenter etc
Knowledge of prototyping processes.
Sound knowledge of SAP- (PART creation. BOM Creation, MRP setting, sales order processing, BOM editing).
Superior communication skills, strong use of communication tools, i.e. email, MS office.
This presentation gives an overview of Microsoft & SAP Solution for Manufacturing O365 in MII 14 which helps you to manage complexity, rapidly develop/deploy, real-time and provides consistent User Experience. It also shows demo screen shots, information to the people who need it, mobile architecture for SAP manufacturing and more.
Realize 2022 MINO 7 year of implementation v0.1.pptxjakobkuhn
This presentation shows how MINO (an automotive Line Builder in China) has successfully implemented the use of Virtual Commissioning and also developed according workflows and training methods
Machine Learning is more than Algorithms - A Consultant's Perspective on the ...Niklas Haas
# Abstract
10 years have passed since Data Scientist was denoted “The Sexiest Job of the 21st Century” in the Harvard Business Review (1) in 2012. However, the “Science” part in many “Data Scientist” job descriptions needs to be put into perspective.
If you want to do business with Machine Learning in a team at a reasonable scale, you build systems where the algorithm is just a piece of many (2).
In this lecture, I want to give an introduction to the current ML related job roles, the technological and methodological skills required to develop ML products, and the open source tooling zoo.
The talk is influenced by my personal experience and career path. Graduated as an Industrial Engineer, M.Sc. I have been working in the industry for 3.5 years now, spending the majority of my time hands-on with developing ML products in public cloud environments.
(1) https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
(2) Sculley, David, et al. "Hidden technical debt in machine learning systems." Advances in neural information processing systems 28 (2015).
# Target Audience
This talk is targeted to student audiences who are searching for orientation in the data jobs market. In fact, during composition of the presentation, I was thinking about my past me who was searching for a data role some years ago.
# Key Takeaways
_ The job roles in the data space are very different, they do different things (Data Analyst / Data Scientist / ML Engineer / Data Engineer)
_ You should decide what mixture of Communication/Math/Programming/Business you want.
_ It can happen that the Data Scientist Job is actually a Data Analyst Job, be careful!
_ MLOps is currently the sort-of industry standard for structuring ML projects.
_ The tooling landscape is abundant and innovating all the time, it is impossible to keep up. Instead, develop your own mechanism to deal with this complexity.
Visualizing the engineering project lifecycle - Unite CopenhagenUnity Technologies
From design to operations, visualization is a powerful tool to drive informed decision-making on major projects. Point clouds, virtual reality and mobile apps are combining to enable better outcomes throughout the engineering industry. Join this session led by Aurecon to learn how Unity can empower engineers to increase efficiency and realize value through every stage of the project lifecycle.
Speaker: Michael Gardiner - Aurecon
Session available here: https://youtu.be/dixtTbGcCFg
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.
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."
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.
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.
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.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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.
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2. Think outside the Box:
Expand Model-based Systems Engineering (MBSE)
into Model-based Production Engineering (MBPE)
to realize a Lego Manufacturing System
Bild
austauschen
3. Go to www.menti.com
Enter the code
1443 9492
Have you ever heard of Model-based Production Engineering?
24. Q&A
Want to learn more about MBPE?
Read paper:
CIRP Annals 2019 – Conceptual
manufacturing system design based on early
product information
Have a look into PhD-Thesis:
Methode zur Produktionssystemkonzipierung
auf Basis früher Produktinformationen –
Ein Beitrag zur Integration von
Produktionssystemplanung und
Produktentwicklung unter Einsatz des MBSE