This document provides an overview of embedded systems used in modern power industries, including distributed control systems (DCS), supervisory control and data acquisition (SCADA) systems, and various communication protocols. DCS are the main automation systems that provide control and infrastructure for power plants. SCADA systems are used for larger, more complex electrical systems and cover large geographical areas. Common communication protocols discussed are DNP3, ProfiBUS, and WirelessHART, with details on their architecture, implementation, and use cases.
Practical Distributed Control Systems (DCS) for Engineers and TechniciansLiving Online
This workshop will cover the practical applications of the modern Distributed Control System (DCS). Whilst all control systems are distributed to a certain extent today and there is a definite merging of the concepts of a DCS, Programmable Logic Controller (PLC) and SCADA and despite the rapid growth in the use of PLC’s and SCADA systems, some of the advantages of a DCS can still be said to be Integrity and Engineering time.
Abnormal Situation Management and Intelligent Alarm Management is a very important DCS issue that provides significant advantages over PLC and SCADA systems.
Few DCSs do justice to the process in terms of controlling for superior performance – most of them merely do the basics and leave the rest to the operators. Operators tend to operate within their comfort zone; they don’t drive the process “like Vettel drives his Renault”. If more than one adverse condition developed at the same time and the system is too basic to act protectively, the operator would probably not be able to react adequately and risk a major deviation.
Not only is the process control functionality normally underdeveloped but on-line process and control system performance evaluation is rarely seen and alarm management is often badly done. Operators consequently have little feedback on their own performance and exceptional adverse conditions are often not handled as well as they should be. This workshop gives suggestions on dealing with these issues.
The losses in process performance due to the inadequately developed control functionality and the operator’s utilisation of the system are invisible in the conventional plant and process performance evaluation and reporting system; that is why it is so hard to make the case for eliminating these losses. Accounting for the invisible losses due to inferior control is not a simple matter, technically and managerially; so it is rarely attempted. A few suggestions are given in dealing with this.
Why are DCS generally so underutilised? Often because the vendor minimises the applications software development costs to be sure of winning the job, or because he does not know enough about the process or if it is a green-field situation, enough could not be known at commissioning time but no allowance was made to add the missing functionality during the ramp-up phase. Often the client does not have the technical skills in-house to realise the desired functionality is missing or to adequately specify the desired functionality.
This workshop examines all these issues and gives suggestions in dealing with them and whilst not being by any means exhaustive provides an excellent starting point for you in working with a DCS.
MORE INFORMATION: http://www.idc-online.com/content/practical-distributed-control-systems-dcs-engineers-technicians-2
Practical Distributed Control Systems (DCS) for Engineers and TechniciansLiving Online
This workshop will cover the practical applications of the modern Distributed Control System (DCS). Whilst all control systems are distributed to a certain extent today and there is a definite merging of the concepts of a DCS, Programmable Logic Controller (PLC) and SCADA and despite the rapid growth in the use of PLC’s and SCADA systems, some of the advantages of a DCS can still be said to be Integrity and Engineering time.
Abnormal Situation Management and Intelligent Alarm Management is a very important DCS issue that provides significant advantages over PLC and SCADA systems.
Few DCSs do justice to the process in terms of controlling for superior performance – most of them merely do the basics and leave the rest to the operators. Operators tend to operate within their comfort zone; they don’t drive the process “like Vettel drives his Renault”. If more than one adverse condition developed at the same time and the system is too basic to act protectively, the operator would probably not be able to react adequately and risk a major deviation.
Not only is the process control functionality normally underdeveloped but on-line process and control system performance evaluation is rarely seen and alarm management is often badly done. Operators consequently have little feedback on their own performance and exceptional adverse conditions are often not handled as well as they should be. This workshop gives suggestions on dealing with these issues.
The losses in process performance due to the inadequately developed control functionality and the operator’s utilisation of the system are invisible in the conventional plant and process performance evaluation and reporting system; that is why it is so hard to make the case for eliminating these losses. Accounting for the invisible losses due to inferior control is not a simple matter, technically and managerially; so it is rarely attempted. A few suggestions are given in dealing with this.
Why are DCS generally so underutilised? Often because the vendor minimises the applications software development costs to be sure of winning the job, or because he does not know enough about the process or if it is a green-field situation, enough could not be known at commissioning time but no allowance was made to add the missing functionality during the ramp-up phase. Often the client does not have the technical skills in-house to realise the desired functionality is missing or to adequately specify the desired functionality.
This workshop examines all these issues and gives suggestions in dealing with them and whilst not being by any means exhaustive provides an excellent starting point for you in working with a DCS.
MORE INFORMATION: http://www.idc-online.com/content/practical-distributed-control-systems-dcs-engineers-technicians-2
In this session you will learn:
SCADA – An Overview
For more information, visit: https://www.mindsmapped.com/courses/industrial-automation/complete-training-on-industrial-automation-for-beginners/
Design of Industrial Automation Functional Specifications for PLCs, DCs and S...Living Online
This manual will be useful to both specifiers and implementers providing a theoretical grounding for preparing a control system functional specification for implementation on Industrial control systems consisting of PLC (Programmable Logic Controllers), HMI (Human Machine Interfaces / SCADA devices) or DCS (Distributed Control Systems).
FOR MORE INFORMATION: http://www.idc-online.com/content/design-industrial-automation-functional-specifications-plcs-dcss-and-scada-systems-15
Distributed Control System (DCS) Applications, Selection & TroubleshootingpetroEDGE
Since the first Distributed Control System was installed in the late 1970’s, the concept of DCS has swept alternative control technologies from the field. The substantial growth, in the construction of plants in the traditional heavy process industries, such as power generation, refining, oil and gas, water and petrochemicals, is driving significant growth in the utilization of DCS. The broad architecture of a solution involves either a direct connection to physical equipment, such as switches, pumps and valves or connection via a fieldbus communication system.
Distributed Control Systems (DCS) are dedicated systems used to control manufacturing processes that are continuous or batch-oriented, such as oil refining, petrochemicals, central station power generation, fertilizers, pharmaceuticals, food and beverage manufacturing, cement production, steelmaking, and papermaking. DCSs are connected to sensors and actuators and use set point control to control the flow of material through the plant.
The most common example is a set point control loop consisting of a pressure sensor, controller, and control valve. Pressure or flow measurements are transmitted to the controller, usually through the aid of a signal conditioning input/output (I/O) device. When the measured variable reaches a certain point, the controller instructs a valve or actuation device to open or close until the fluidic flow process reaches the desired set point.
Large oil refineries have many thousands of I/O points and employ very large DCSs. Processes are not limited to fluidic flow through pipes, however, and can also include things like paper machines and their associated quality controls (see quality control system QCS), variable speed drives and motor control centers, cement kilns, mining operations, ore processing facilities, and many others.
Innovic India Private Limited provides industrial Training on DCS as well as other automationtechnologies like PLC, SCADA, HMI, VFD and many more.
For Core Engineering jobs and 100% Job Oriented Industrial Training
Feel free to contact us on: +91-9555405045/+91-9811253572
Email: group.innovic2gmail.com
Web: www.innovicindia.com
Introduction of SCADA, Architecture of SCADA, Software and hardware architecture, Components of a SCADA system, Functions of SCADA, Alarms and events, alarm logging, comparision between scada and DCS
In this session you will learn:
SCADA – An Overview
For more information, visit: https://www.mindsmapped.com/courses/industrial-automation/complete-training-on-industrial-automation-for-beginners/
Design of Industrial Automation Functional Specifications for PLCs, DCs and S...Living Online
This manual will be useful to both specifiers and implementers providing a theoretical grounding for preparing a control system functional specification for implementation on Industrial control systems consisting of PLC (Programmable Logic Controllers), HMI (Human Machine Interfaces / SCADA devices) or DCS (Distributed Control Systems).
FOR MORE INFORMATION: http://www.idc-online.com/content/design-industrial-automation-functional-specifications-plcs-dcss-and-scada-systems-15
Distributed Control System (DCS) Applications, Selection & TroubleshootingpetroEDGE
Since the first Distributed Control System was installed in the late 1970’s, the concept of DCS has swept alternative control technologies from the field. The substantial growth, in the construction of plants in the traditional heavy process industries, such as power generation, refining, oil and gas, water and petrochemicals, is driving significant growth in the utilization of DCS. The broad architecture of a solution involves either a direct connection to physical equipment, such as switches, pumps and valves or connection via a fieldbus communication system.
Distributed Control Systems (DCS) are dedicated systems used to control manufacturing processes that are continuous or batch-oriented, such as oil refining, petrochemicals, central station power generation, fertilizers, pharmaceuticals, food and beverage manufacturing, cement production, steelmaking, and papermaking. DCSs are connected to sensors and actuators and use set point control to control the flow of material through the plant.
The most common example is a set point control loop consisting of a pressure sensor, controller, and control valve. Pressure or flow measurements are transmitted to the controller, usually through the aid of a signal conditioning input/output (I/O) device. When the measured variable reaches a certain point, the controller instructs a valve or actuation device to open or close until the fluidic flow process reaches the desired set point.
Large oil refineries have many thousands of I/O points and employ very large DCSs. Processes are not limited to fluidic flow through pipes, however, and can also include things like paper machines and their associated quality controls (see quality control system QCS), variable speed drives and motor control centers, cement kilns, mining operations, ore processing facilities, and many others.
Innovic India Private Limited provides industrial Training on DCS as well as other automationtechnologies like PLC, SCADA, HMI, VFD and many more.
For Core Engineering jobs and 100% Job Oriented Industrial Training
Feel free to contact us on: +91-9555405045/+91-9811253572
Email: group.innovic2gmail.com
Web: www.innovicindia.com
Introduction of SCADA, Architecture of SCADA, Software and hardware architecture, Components of a SCADA system, Functions of SCADA, Alarms and events, alarm logging, comparision between scada and DCS
Use Eclipse Technologies to build a modern embedded development IDEBenjamin Cabé
This talk aims at presenting how we combined several Eclipse technologies to create a new generation tooling for embedded development. This new tool allows developers to use a component oriented approach to design the embedded code. We explain how the following Eclipse technologies can be used to create a complete tooling:
* EMF as a central component to define the data model of the tool
* The Common Navigator Framework to integrate a logical view in the Project Explorer
* GMF to edit graphically some parts of the model
* Xpand to implement code generators
* EMF Compare to allow round tripping between model and code
* DLTK to add support of a new scripting language (Lua)
* Eclipse Builders to implement the compilation toolchain
* RSE (Remote System Explorer) to interact with the target
* TCF (Target Communication Framework) to download, execute, debug on the target
Introduction to IBM Shared Memory Communications Version 2 (SMCv2) and SMC-Dv2zOSCommserver
IBM recently announced SMCv2 for SMC-Dv2. SMCv2 defines Shared Memory Communications for TCP/IP connections that span multiple IP subnets. This presentation will introduce how this new capability applies to SMC-Dv2 for z/OS V2R4 and ISMv2 for the IBM z15. The key concepts of the SMC-Dv2 will be introduced along with an overview of how to get started using the new solution with z/OS 2.4. The overview will also cover exploitation and configuration considerations for existing SMC-D users and for new SMC-Dv2 only users. In this presentation, customers will learn about this new capability and how this capability can extend the performance benefits of SMC-D to additional System Z workloads.
Here I am describing general topics about :
1) Brief about 802.11 standard.
2) MAC layer frames
3) MLME
4) SoftMAC and HardMAC
5) Broadcom bcm43xx chipsets
6) Tx path and Rx path of brcmsmac driver
7) Mac80211 debugfs
8) Live demonstration
Performance analysis and implementation of modified sdm based noc for mpsoc o...eSAT Journals
Abstract To meet todays demanding requirements lowpower consumption, high performance while maintaing flexibility and scalability,
system-On-Chip will combine several number of processors cores and other IPs with network-On-chip. To implement NoC based
MPSoC on an FPGA, NoCs should provide guaranteed services and be run-time reconfigurable. Current TDM and SDM based
NoCs takes more area and would not support run-time reconfiguration. This paper presents modified spatial division multiplexing
based NoC on FPGA, in this we have modified complex network interface and proposed flexible network interface and efficient
SDM based NoC.This architecture explored feasibility of connection requirements from IP cores during run-time.
Keywords: NoC, MPSoC, FPGA, NoCs, SDM Based NoC
Introduction to Programmable Networks by Clarence Anslem, IntelMyNOG
Network devices like switches or routers are most commonly designed a bottom-up. The switch vendors that offer products to their clients usually rely on external chips from 3rd party silicon vendors. The chip is the heart of the system and in practice determines how device OS is realized and what functionality it can offer. Since the chip is a fixed-function unit and its internal packet processing pipeline cannot be easily reconfigured at runtime, adding a new feature set is a complex process that may take months. This is because a chip redesign is usually required. P4 & Programmable ASIC’S aims to break these barriers and enable innovation on networking devices similar to CPU’s, GPU’s, DSP’s in the computing ecosystem.
SS-CPSIoT 2023_Kevin Mika and Piotr Zierhoffer presentationVEDLIoT Project
VEDLIoT – Accelerated AIoT. Kevin Mika and Piotr Zierhoffer. CPS&IoT’2023 Summer School on Cyber-Physical Systems and Internet-of-Things, Budva, Montenegro, June 2023
digital signal processing
Computer Architectures for signal processing
Harvard Architecture, Pipelining, Multiplier
Accumulator, Special Instructions for DSP, extended
Parallelism,General Purpose DSP Processors,
Implementation of DSP Algorithms for var
ious operations,Special purpose DSP
Hardware,Hardware Digital filters and FFT processors,
Case study and overview of TMS320
series processor, ADSP 21XX processor
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. CONTENTS
●
DCS (Distributed Control Systems)
Distributed Control Systems
●
SCADA Systems
●
Communication Protocols
–
DNP3
–
ProfiBUS
–
WirelessHART
2
2
3. DCS (Distributed Control Systems)
●
Automation system for an independent Unit
●
Main Brain of the Power Plant
●
Provide Infrastructure for implementing the control
system algorithms.
●
Complex Electronic system
●
Centre point of all Analog and Digital Signals
●
Major Market Players: ABB, Siemens, ALSTOM,
Metso, GE
3
3
4. DCS (Distributed Control Systems)
●
●
Layer 0: Embedded
Processor
ASIC /FPGA / DSP
Processors /SoC
●
FPGA: Reconfigurable
●
MIMO Design: 2k – 10k I/O
●
Redundancy: An Important
concept of systems
engineering.
Vetical layers DCS
Source: Metso Automation: MaxDNA Systems
4
4
5. DCS (Distributed Control Systems)
●
Can be implemented as System-on-a-Chip (SoC)
●
Hardware/ Software Partitioning:
–
Intellectual Property Re-use
–
Cost optimization
–
Maximize performance
5
5
6. DCS (Distributed Control Systems)
DCS Architecture
Typical DCS Architecture for coal fired power plant Source: ALSTOM Alspa 6
6
6
8. SCADA Systems
●
SCADA – Supervisory Control & Data Acquisition
●
Used for very large complex electrical systems
–
●
Smart Grids
One system covers large no of substations, control stations,
swicthyards, load dispatch centres
●
Data collection from different units, processing and logging
●
System Security from cyber attacks
●
I/O size: 20k to 450k I/O ports
8
8
10. SCADA Systems
Key components:
–
I/O hardware – Remote Terminal Units (RTUs)
–
Network backbone
–
Human Machine Interface (HMI)
–
Control and processing Systems
–
Database management
–
Security Software
10
10
11. SCADA vs DCS
SCADA
DCS
–
I/O ports: 20k - 450k
–
I/O ports: 2k -15k
–
Event and Data
acquisition oriented
–
Process Oriented
–
Systems like power
plants, which function as
an independent unit
–
Systems spread over a
large geographical area
11
11
13. DNP3 (Distributed Network Protocol)
–
Communication protocol used in Power industry for data
communication
–
Non proprietary protocol
–
Managed by DNP3 users group
–
Extensively used in SCADA systems,communication between
Master control centre and RTUs
13
13
14. DNP3 (Distributed Network Protocol)
DNP3 Architecture
DNP3 user software
S/W
Application Layer
Data Link layer
H/W
Physical Layer
Network >>
14
14
15. DNP3 (Distributed Network Protocol)
ADDR. ADDR.
LEN
CTRL
START
LSB
MSB
DEST.
LSB
MSB
SOURCE.
LSB
MSB
CRC
Frame Format for DNP3
DIR
PRM
FCB
FCV
(DFC)
FUNCTION CODE
Control Byte
15
15
16. DNP3 (Distributed Network Protocol)
●
Protocol Implementation in RTUs
●
Implementation as FPGAs over ethernet/ RS232C
●
Protocol Performance with network traffic
Performance Analysis of DNP3
in a heterogeneous traffic environment [1]
16
16
18. ProfiBUS Protocol
●
●
●
●
Acronym for Pro(cess)fi(field) bus
Communication protocol used in Power industry for data
communication
Proprietary protocol
Developed by Siemens and BMBF (German Dept of Education and
Research)
●
Extensively used in SCADA as well as DCS Systems
●
Architecture based on OSI Model (Open Systems architecture)
18
18
19. ProfiBUS Protocol
●
2 types
–
–
●
●
ProfiBUS DP (Decentralised Peripherals)
ProfiBUS PA (Process Automation)
Physical layer may be RS485 and Optical Fibre network
network topology change with DP/ PA/ coupled networks and type of
physical layer
–
Different bandwidth
–
Change in no of devices per network
19
19
22. WirelessHART Protocol
●
Standard wireless protocol used in process automation industry
●
Used in Wireless Instrumentation
●
Major Advantages
–
–
Easy Maintenance
–
●
Savings in Material (Network/Copper cable)
Reliability
Risks
–
Data Security/ Protection from cyber attacks
22
22
26. WirelessHART Protocol
●
Honeywell XYR6000 series Instruments based on
WirelessHART technology
Pressure
Transmitters
Position
Transmitters
Temperature
Transmitters
26
26
27. References
[1] Alcides Ortega,Christiane Marie Schweitzer, “Performance Analysis of Smart Grid
Communication Protocol DNP3 over TCP/IP in a Heterogeneous Traffic Environment ” - Ilha
Soltiera Brazil
[2] Jianping Song et al., “WirelessHART: Applying Wireless Technology in Real-Time
Industrial Process Control”, IEEE Real-Time and Embedded Technology and Applications
Symposium.
Image sources taken from various product manufacturers mentioned along with the
image.
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