Tool-Driven Technology Transfer in Software EngineeringHeiko Koziolek
This talk presentst the tool-driven technology transfer process ABB Corporate Research applies in selected software engineering University collaborations. As an example, we have created an add-in to a popular UML tool and developed the tooling in close interaction with the target users. Centering the technology transfer around tool implementations brings many benefits such as the need to make conceptual contributions applicable and the ability to quickly benefit from the new concepts. A challenge to this form of technology transfer is the long-term commitment to the maintenance of the tooling, which we try to address by creating an open developer community. Tool-driven technology transfer projects have proven to be valuable a instrument of bringing advanced software engineering technologies into our organization.
Increasing ROI Through Simulation and the 'Digital Twin'GSE Systems, Inc.
Learn how you can use the plant simulator as a digital twin to maximize your investment and get beyond operations training into engineering design and virtual commissioning.
Bottleneck Identification and Performance Modeling of OPC UA Communication Mo...Heiko Koziolek
The OPC UA communication architecture is currently becoming an integral part of industrial automation systems, which control complex production processes, such as electric power generation or paper production. With a recently released extension for pub/sub communication, OPC UA can now also support fast cyclic control applications, but the bottlenecks of OPC UA implementations and their scalability on resource-constrained industrial devices are not yet well understood. Former OPC UA performance evaluations mainly concerned client/server round-trip times or focused on jitter, but did not explore resource bottlenecks or create predictive performance models. We have carried out extensive performance measurements with OPC UA client/server and pub/sub communication and created a CPU utilization prediction model based on linear regression that can be used to size hardware environments. We found that the server CPU is the main bottleneck for OPC UA pub/sub communication, but allows a throughput of up to 40,000 signals per second on a Raspberry Pi Zero. We also found that the client/server session management overhead can severely impact performance, if more than 20 clients access a single server.
OpenPnP: a Plug-and-Produce Architecture for the Industrial Internet of ThingsHeiko Koziolek
Industrial control systems are complex, software-intensive systems that manage mission-critical production processes. Commissioning such systems requires installing, configuring, and integrating thousands of sensors, actuators, and controllers and is still a largely manual and costly process. Therefore, practitioners and researchers have been working on ``plug and produce'' approaches that automate commissioning for more than 15 years, but have often focused on network discovery and proprietary technologies. We introduce the vendor-neutral OpenPnP reference architecture, which can largely automate the configuration and integration tasks for commissioning. Using an example implementation, we demonstrate that OpenPnP can reduce the configuration and integration effort up to 90 percent and scales up to tens of thousands of communicated signals per second for large Industrial Internet-of-Things (IIoT) systems. OpenPnP can serve as a template for practitioners implementing IIoT applications throughout the automation industry and streamline commissioning processes in many thousands of control system installations.
Software Architecture in Process Automation: UML & the "Smart Factory"Heiko Koziolek
Distributed control systems are currently evolving towards Industrial Internet-of-Things (IIoT) systems. Still, they still suffer from complex commissioning processes that incur high costs. Researchers have proposed several so-called ''Plug and Produce'' (PnP) approaches, where commissioning shall be largely automated, but they have suffered from semantic ambiguities and usually rely on proprietary information models. We propose a novel reference architecture for PnP in IIoT systems, which is based on OPC UA and PLCopen standards and can reduce industrial device commissioning times across vendor products to a few seconds. Our proof-of-concept implementation can handle more than 500 signals per millisecond during runtime, sufficient for most application scenarios.
Distributed control systems are currently evolving towards Industrial Internet-of-Things (IIoT) systems. Still, they still suffer from complex commissioning processes that incur high costs. Researchers have proposed several so-called ''Plug and Produce'' (PnP) approaches, where commissioning shall be largely automated, but they have suffered from semantic ambiguities and usually rely on proprietary information models. This talk introduces a novel reference architecture for PnP in IIoT systems, which is based on OPC UA and PLCopen standards and can reduce industrial device commissioning times across vendor products to a few seconds. Our proof-of-concept implementation can handle more than 500 signals per millisecond during runtime, sufficient for most application scenarios.
Tool-Driven Technology Transfer in Software EngineeringHeiko Koziolek
This talk presentst the tool-driven technology transfer process ABB Corporate Research applies in selected software engineering University collaborations. As an example, we have created an add-in to a popular UML tool and developed the tooling in close interaction with the target users. Centering the technology transfer around tool implementations brings many benefits such as the need to make conceptual contributions applicable and the ability to quickly benefit from the new concepts. A challenge to this form of technology transfer is the long-term commitment to the maintenance of the tooling, which we try to address by creating an open developer community. Tool-driven technology transfer projects have proven to be valuable a instrument of bringing advanced software engineering technologies into our organization.
Increasing ROI Through Simulation and the 'Digital Twin'GSE Systems, Inc.
Learn how you can use the plant simulator as a digital twin to maximize your investment and get beyond operations training into engineering design and virtual commissioning.
Bottleneck Identification and Performance Modeling of OPC UA Communication Mo...Heiko Koziolek
The OPC UA communication architecture is currently becoming an integral part of industrial automation systems, which control complex production processes, such as electric power generation or paper production. With a recently released extension for pub/sub communication, OPC UA can now also support fast cyclic control applications, but the bottlenecks of OPC UA implementations and their scalability on resource-constrained industrial devices are not yet well understood. Former OPC UA performance evaluations mainly concerned client/server round-trip times or focused on jitter, but did not explore resource bottlenecks or create predictive performance models. We have carried out extensive performance measurements with OPC UA client/server and pub/sub communication and created a CPU utilization prediction model based on linear regression that can be used to size hardware environments. We found that the server CPU is the main bottleneck for OPC UA pub/sub communication, but allows a throughput of up to 40,000 signals per second on a Raspberry Pi Zero. We also found that the client/server session management overhead can severely impact performance, if more than 20 clients access a single server.
OpenPnP: a Plug-and-Produce Architecture for the Industrial Internet of ThingsHeiko Koziolek
Industrial control systems are complex, software-intensive systems that manage mission-critical production processes. Commissioning such systems requires installing, configuring, and integrating thousands of sensors, actuators, and controllers and is still a largely manual and costly process. Therefore, practitioners and researchers have been working on ``plug and produce'' approaches that automate commissioning for more than 15 years, but have often focused on network discovery and proprietary technologies. We introduce the vendor-neutral OpenPnP reference architecture, which can largely automate the configuration and integration tasks for commissioning. Using an example implementation, we demonstrate that OpenPnP can reduce the configuration and integration effort up to 90 percent and scales up to tens of thousands of communicated signals per second for large Industrial Internet-of-Things (IIoT) systems. OpenPnP can serve as a template for practitioners implementing IIoT applications throughout the automation industry and streamline commissioning processes in many thousands of control system installations.
Software Architecture in Process Automation: UML & the "Smart Factory"Heiko Koziolek
Distributed control systems are currently evolving towards Industrial Internet-of-Things (IIoT) systems. Still, they still suffer from complex commissioning processes that incur high costs. Researchers have proposed several so-called ''Plug and Produce'' (PnP) approaches, where commissioning shall be largely automated, but they have suffered from semantic ambiguities and usually rely on proprietary information models. We propose a novel reference architecture for PnP in IIoT systems, which is based on OPC UA and PLCopen standards and can reduce industrial device commissioning times across vendor products to a few seconds. Our proof-of-concept implementation can handle more than 500 signals per millisecond during runtime, sufficient for most application scenarios.
Distributed control systems are currently evolving towards Industrial Internet-of-Things (IIoT) systems. Still, they still suffer from complex commissioning processes that incur high costs. Researchers have proposed several so-called ''Plug and Produce'' (PnP) approaches, where commissioning shall be largely automated, but they have suffered from semantic ambiguities and usually rely on proprietary information models. This talk introduces a novel reference architecture for PnP in IIoT systems, which is based on OPC UA and PLCopen standards and can reduce industrial device commissioning times across vendor products to a few seconds. Our proof-of-concept implementation can handle more than 500 signals per millisecond during runtime, sufficient for most application scenarios.
Speaker: Atul Kshirsagar, GE Software
To learn more about Pivotal Cloud Foundry, visit http://www.pivotal.io/platform-as-a-service/pivotal-cloud-foundry.
Plug-and-Produce based on Standardized Industrie 4.0 Asset Admin ShellsHeiko Koziolek
Engineering and commissioning field devices and production modules in typical manufacturing settings is today still a largely manual and often error-prone process. Most proposed Plug&Produce approaches rely on proprietary technologies, device descriptions, and device functionalities and thus cannot incorporate devices from different vendors. In this contribution, we propose a minimal, but expressive AAS structure that is fully based on industry standards and Namur recommendations. We show how this AAS structure can be mapped to different communication technologies, such as OPC UA and MQTT. As a proof-of-concept, we have implemented a prototype using the proposed AAS structure to realize a restricted device-level PnP scenario. Due to the use of standards, our results can be easily reproduced by researchers and practitioners, so that a broad applicability of our concepts is possible.
Despite significant scientific research, systematic performance engineering techniques are still hardly used in industry, as many practitioners rely on ad-hoc performance firefighting. It is still not well understood where more sophisticated performance modeling approaches are appropriate and the maturity of the existing tools and processes can be improved. While there have been several industrial case studies on performance modeling in the last few years, more experience is needed to better understand the constraints in practice and to optimize existing tool-chains.
I gave a talk summarizing six years of performance modeling at ABB. In three projects, different approaches to performance modeling were taken, and experiences on the capabilities and limitations of existing tools were gathered. The talk reports on several lessons learned from these projects, for example the need for more efficient performance modeling and the integration of measurement and modeling tools.
In this video from ChefConf 2014 in San Francisco, Cycle Computing CEO Jason Stowe outlines the biggest challenge facing us today, Climate Change, and suggests how Cloud HPC can help find a solution, including ideas around Climate Engineering, and Renewable Energy.
"As proof points, Jason uses three use cases from Cycle Computing customers, including from companies like HGST (a Western Digital Company), Aerospace Corporation, Novartis, and the University of Southern California. It’s clear that with these new tools that leverage both Cloud Computing, and HPC – the power of Cloud HPC enables researchers, and designers to ask the right questions, to help them find better answers, faster. This all delivers a more powerful future, and means to solving these really difficult problems."
Watch the video presentation: http://insidehpc.com/2014/09/video-hpc-cluster-computing-64-156000-cores/
Empowering active teaching and experimental research apr 2010Thorsten MAYER
Explore how you, as researcher and teacher, can leverage LabVIEW Graphical System Design for hands-on engineering education as well as advanced research.
PEM2: Control Applications Portfolio from GE PowerPredix
http://predixtransform.com
This session explains how Predix Machine was used to interact with real-time control systems (the GE A&C Mark VI/VIe platform), creating the first generation of GE Power Industrial Internet Applications (IIA). We will show life app demos, and take an in-depth look at their architecture.
B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
Building IoT Mashups for Industry 4.0 with Eclipse Kura and Kura WiresEurotech
Having trouble in addressing the challenges of IoT and Industry 4.0 like fragmentation, complexity and lock-in? In the context of IIoT, at the field level, we believe Eclipse Kura can be the right solution for the mentioned problems. Read the entire presentation!
Using lo rawan and vibration monitoring for predictive maintenance v2Actility
In order to help manufacturers implement predictive maintenance solutions to anticipate defects in industrial equipment as early as possible, Actility joined forces with industry leaders NKE Watteco and WMW and created an end-to-end IoT Solution for Predictive Maintenance by Vibration Monitoring, using BOB ASSISTANT sensor from NKE Watteco to analyze the vibration and temperature of process equipment, the LoRaWAN Network Server Backend from Actility and the WMW IoT Web/Mobile Application Interface.
Speaker: Atul Kshirsagar, GE Software
To learn more about Pivotal Cloud Foundry, visit http://www.pivotal.io/platform-as-a-service/pivotal-cloud-foundry.
Plug-and-Produce based on Standardized Industrie 4.0 Asset Admin ShellsHeiko Koziolek
Engineering and commissioning field devices and production modules in typical manufacturing settings is today still a largely manual and often error-prone process. Most proposed Plug&Produce approaches rely on proprietary technologies, device descriptions, and device functionalities and thus cannot incorporate devices from different vendors. In this contribution, we propose a minimal, but expressive AAS structure that is fully based on industry standards and Namur recommendations. We show how this AAS structure can be mapped to different communication technologies, such as OPC UA and MQTT. As a proof-of-concept, we have implemented a prototype using the proposed AAS structure to realize a restricted device-level PnP scenario. Due to the use of standards, our results can be easily reproduced by researchers and practitioners, so that a broad applicability of our concepts is possible.
Despite significant scientific research, systematic performance engineering techniques are still hardly used in industry, as many practitioners rely on ad-hoc performance firefighting. It is still not well understood where more sophisticated performance modeling approaches are appropriate and the maturity of the existing tools and processes can be improved. While there have been several industrial case studies on performance modeling in the last few years, more experience is needed to better understand the constraints in practice and to optimize existing tool-chains.
I gave a talk summarizing six years of performance modeling at ABB. In three projects, different approaches to performance modeling were taken, and experiences on the capabilities and limitations of existing tools were gathered. The talk reports on several lessons learned from these projects, for example the need for more efficient performance modeling and the integration of measurement and modeling tools.
In this video from ChefConf 2014 in San Francisco, Cycle Computing CEO Jason Stowe outlines the biggest challenge facing us today, Climate Change, and suggests how Cloud HPC can help find a solution, including ideas around Climate Engineering, and Renewable Energy.
"As proof points, Jason uses three use cases from Cycle Computing customers, including from companies like HGST (a Western Digital Company), Aerospace Corporation, Novartis, and the University of Southern California. It’s clear that with these new tools that leverage both Cloud Computing, and HPC – the power of Cloud HPC enables researchers, and designers to ask the right questions, to help them find better answers, faster. This all delivers a more powerful future, and means to solving these really difficult problems."
Watch the video presentation: http://insidehpc.com/2014/09/video-hpc-cluster-computing-64-156000-cores/
Empowering active teaching and experimental research apr 2010Thorsten MAYER
Explore how you, as researcher and teacher, can leverage LabVIEW Graphical System Design for hands-on engineering education as well as advanced research.
PEM2: Control Applications Portfolio from GE PowerPredix
http://predixtransform.com
This session explains how Predix Machine was used to interact with real-time control systems (the GE A&C Mark VI/VIe platform), creating the first generation of GE Power Industrial Internet Applications (IIA). We will show life app demos, and take an in-depth look at their architecture.
B Kindilien-Does Manufacturing Have a Future?jgIpotiwon
Presentation to students and educators at Eastern Connecticut State University in 2008 on the challenges, and opportunities, facing people in manufacturing.
Building IoT Mashups for Industry 4.0 with Eclipse Kura and Kura WiresEurotech
Having trouble in addressing the challenges of IoT and Industry 4.0 like fragmentation, complexity and lock-in? In the context of IIoT, at the field level, we believe Eclipse Kura can be the right solution for the mentioned problems. Read the entire presentation!
Using lo rawan and vibration monitoring for predictive maintenance v2Actility
In order to help manufacturers implement predictive maintenance solutions to anticipate defects in industrial equipment as early as possible, Actility joined forces with industry leaders NKE Watteco and WMW and created an end-to-end IoT Solution for Predictive Maintenance by Vibration Monitoring, using BOB ASSISTANT sensor from NKE Watteco to analyze the vibration and temperature of process equipment, the LoRaWAN Network Server Backend from Actility and the WMW IoT Web/Mobile Application Interface.
Universal Serial Bus (USB) is an industry standard developed in the mid-1990s that defines the cables, connectors and communications protocols used in a bus for connection, communication, and power supply between computers and electronic devices.
This Paper mainly deals with the implementation of Adaptive Neuro Fuzzy Inference System (ANFIS) in Pulse Width Modulation control of Single Ended Primary Inductor Converter (SEPIC). Generally PID, Fuzzy techniques are being used to control DC – DC converter. This paper presents a ANFIS controller based SEPIC converter for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system. The ANFIS controller for the SEPIC MPPT scheme shows a high precision in current transition and keeps the voltage without any changes represented in small steady state error and small overshoot. The proposed scheme ensures optimal use of photovoltaic (PV) array, wind turbine and proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side. The performance of the proposed ANFIS based MPPT operation of SEPIC converter is compared to those of the conventional PID and Fuzzy based SEPIC converter. The results show that the proposed ANFIS based MPPT scheme for SEPIC can transfer power to about 20 percent (approx) more than conventional system.
Getting started with Arduino using LabView V9.
http://openwetware.org/wiki/User:Pranav_Rathi/Notebook/OT/2013/01/11/Getting_started_with_Arduino#LabView_Arduino_Interface_and_Firmware_installation
Intelligent well completion is emerging technology in E&P sector. It helps to reduce well interventions thus to save project cost. This technology has shown enormous potential in subsea development and marginal field developments.
Intelligent Autonomous Transportation: IBM HorizonWatch 2016 Trend Brief Bill Chamberlin
The slides provide a quick overview of the Intelligent Autonomous Transportation trend. The slides provide summary information, a list of trends to watch and links to additional resources
DC4Cities presentation at Smart City Expo World Congress Barcelona (2015), held by Giovanni Giuliani, from Hewlett Packard Enterprise and DC4Cities technical coordinator.
Michael will discuss some of the issues and challenges around Big Data. It is all very well building Big Data friendly databases to manage the tidal wave of real-time data that the IoT inevitably creates but this must also be incorporated into legacy data to deliver actionable insight.
Download this at http://parker.com/egt
Currently, cooling, modularity, monitoring and control are common issues in grid tie applications, resulting in decreased efficiency and costly downtime. Future trends are driving towards power converter systems that offer lower cost, higher power density, higher efficiency, as well as high availability and yield. All this while demanding modularity for plug and play and with predictive and preventative maintenance monitoring.
As providers of 85 MGW grid tie conversion systems worldwide, Parker has an extensive product portfolio, application knowledge and experience, therefore well positioned to guide on methods to solve these specific industry challenges, through:
Advanced 2-phase refrigerant invert cooling - 60% smaller in size and provides increased energy output over air cooled solutions
Modular power electronics – ensuring units can be replaced quickly and easily
Implementing a predictive maintenance schedule, such as self-monitoring to reduce potential downtime issues
Techniques to improve the control of your system.
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010ARC Advisory Group
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010 in Orlando, FL.
Using Process Automation to Optimize Energy Consumption
The Cost of Energy
How Well is Energy Managed in Today’s Plants?
Using Your Process Automation Infrastructure
with an Eye Toward Optimizing Energy
Consumption
The Business Value of Integrated Power &
Automation
Enabling Technologies
Training Your People and Managing Knowledge
Moving Forward
Using Cloud CAE Delivered by AWS HPC to Optimize Next-Gen Medical Devices - B...Amazon Web Services
Engineers designing next-generation devices, like wearables for medical applications, face an array of competing engineering tradeoffs. With cloud computer-aided engineering (CAE) software from OnScale, powered by AWS HPC clusters, engineers can rapidly analyze thousands of different design variants in parallel and select optimal designs before moving to expensive physical prototyping runs. Learn how engineers at Verathon, a leading medical device company, recently used the OnScale platform to solve their most challenging engineering problems rapidly while minimizing risk, cost, and time-to-market.
The Internet of Things (IoT) can be considered as a modern manifestation of Mark Weiser’s classic vision of ubiquitous computing where tiny networked computers become part of everyday objects interweaving the virtual world and the physical world. The concept of the IoT originated some 15 years ago from linking real-world artifacts to virtual counterparts through radio-frequency identification (RFID) tags. More recently, environments have become ‘smart’ by augmenting physical objects with sensing or actuation capabilities and networking them with digital services. The ongoing standardization of Internet protocols for such IoT devices enables the seamless integration of smart things into the Internet. This trend is expected to eventually result in hundreds of billions of connected devices that need to be programmed, managed, and maintained. It has been shown that Web technology can significantly ease this process by providing well-known patterns and tools for developers and users. The existing solutions are, however, often too heavyweight for highly resource-constrained IoT devices. Indeed, most connected devices are expected to remain resource-constrained, as progress in technology witnessed by Moore’s Law is primarily leveraged to minimize dimensions, power consumption, and unit costs.
This dissertation presents a comprehensive solution for the seamless integration of highly resource-constrained IoT systems into the World Wide Web. Our thesis is that existing protocols and programming models do not effectually meet the needs of the IoT. We identify two key challenges for the vision to succeed: application-layer interoperability and improved usability for both developers and users. Both requirements can be met by an approach that amalgamates results from the field of Wireless Sensor Networks and the World Wide Web. This leads to the research questions (i) how to scale Web technology down to resource-constrained devices, (ii) how to scale it up to hundreds of billions of devices, and (iii) how to use it to improve the usability of the tiny networked computers. Our work addresses the resulting challenges with the following contributions: Being actively involved in the design and standardization of the Constrained Application Protocol (CoAP) within the Internet Engineering Task Force (IETF), we (i) evaluate the new Web protocol in the different components of IoT systems, namely resource-constrained devices, Cloud-based services, and user interaction. Based on this, we (ii) propose system architectures and guidelines for an optimal implementation and utilization of CoAP. Furthermore, we (iii) present concepts and tools for Web-like software development for the IoT. To supportour thesis, we also (iv) provide working open source implementations of our concepts, which build the basis for several IoT projects in academia and industry.
TundraSystems Global LTD is an SME with the vision and mission to design and deliver new quantum technology solutions. The first phase of development is to develop Tundra Quantum Photonics Technology library. This forms part of Tundra System's strategy, in its quest to develop a complete Quantum Photonics Microprocessor the TundraProcessor. This library should also facilitate the development of the eco-system of Photonic Integrated Circuits to enable the building of complete HPC Systems surrounding the TundraProcessor.
2. National Instruments Leading provider of computer-based measurement and automation technology Headquartered in Austin, TX More than 5.000 employees in around 40 countries (more than 1000 in Central Eastern Europe) Certified partner program for system integration with > 600 Alliance Partners Dr. Truchard and Jeff Kodosky inducted into Electronic Design Hall of Fame for their pioneering work in virtual instrumentation 2008Revenue $821Million
5. The Most Important Plot for the 21st Century? 10000 $7,000 World Population $6,000 World GDP $5,000 Fossil Fuel Consumption 5000 $4,000 Million Tonnes Oil Equivalent, Millions People $3,000 World GDP per capita (1990 $) $2,000 $1,000 2000 1920 1940 1960 1980 1900 Source: BjørnLomborg, “The Skeptical Environmentalist,” and British Petroleum, “Statistical Review of World Energy 2006.”
6. The Long Tail Of Energy Oil Coal Natural Gas Hydroelectric Nuclear Wind Storage Hydrogen Solar Bio fuels Wave Harvesting “Chris Anderson, Wired Magazine”
14. Usage “Once you start monitoring something in an automation system, you know you can fix things” - Dave Brandt Electrical Engineer
15. Performance & Health Monitoring Rotational Machines in Renewable Energy Generation Wind Energy Hydroelectric Energy
16. Vibrations Noise Performance & Health Monitoring Rotational Machines in Renewable Energy Generation Conditions start to change Machine condition Machine Monitoring ROI: “$1 investment returns $40 in savings.” Heat Smoke Emergency stop Source: Mobley, R. Keith, An Introduction to Predictive Maintenance http://www.downtimecentral.com/Examples.htm Time 10 min 2 days 2 weeks 3 month
18. The Engineering Innovation ProcessMeasure It and Fix It Measure Water and Air Quality Measure CO2 and NOx Emissions Measure Power Usage Fix Old Engine Controllers Fix Wasteful Processes Fix New Sources of Energy
19. Enabling Technologies Fix It Measure It FPGA Technology Rapid Embedded Design and Prototyping Real-Time Math Deterministic Algorithm Deployment Wireless Systems Intelligent Distributed Systems Modular COTS HW Architectures Complete Data Acquisition, Instrumentation and Control Platforms
20. High-Level Design Models C Code Data Flow Textual Math Simulation Statechart Graphical System Design Platform FPGA Desktop Microprocessors Real-Time ni.com
21. 20 Years |NI Data Acquisition 1987 NUBUS 1993 E Series 2005 USB DAQ 2008 Wi-Fi DAQ 2006 NI CompactDAQ 2004 M Series 1997 PXI DAQ 1991 AT/PC/XT/EISA ni.com
26. Cleaner EnergyCompliance with Federal Clean Air Regulations Avoids Fees Protects Environment. Generation Application:Mercury Emissions Stack Monitoring Challenge:Developing a reliable mercury emissions sampling system to provide control, calibration, and maintenance features required by stringent federal regulations for coal-fired power plants. Solution:Graphical System Design software (NI LabVIEW) and hardware (NI Compact FieldPoint) as development platform for real-time data logging control system with wireless communication. "The success of the project was due to the processing and automation power of the NI cFP-2120 and the ease of use derived from integrating the PDA control system."
27. High-Speed Custom Control Max-Planck-Institute Munich: Control of plasma in nuclear fusion tokamak with NI LabVIEW on 8 core system using data parallelism technique.
28. Algorithm Engineering Requires Real-Time Math Real-time math is… the implementation of mathematical algorithms for the purpose of deployment to deterministic hardware.
30. “New ideas are cheap, the ability to test and verify what has economic value is not.”
31. Laboratory To Market Deployment Curve I/O I/O PXI RIO I/O PCI RIO Processor FPGA Custom I/O CompactRIO Modular System Flexibility and Price CompactRIOIntegrated NI Single-Board RIO Number of Systems Deployed
32. NI CompactRIO (e.g. Prototyping) FPGA Point-to-Point FPGA Data Links C Series Parallel I/O LabVIEW Real-Time Thread-Safe Libraries Multithreaded RT OS LabVIEW FPGA 25
33. Ensuring Power Quality Transmission Distribution Application: Power Quality monitoring and analysis. Challenge:Performing all necessary measurements in parallel in a small embedded form factor and evaluating of quality according to international standards and regulations. Solution:A power quality analyzer that complies with international power quality standards and is build based upon COTS tools such as NI CompactRIO, a rugged and scalable hardware platform and NI LabVIEW Graphical System Design software. " The ENA power quality analyzer family can be modified or extended easily in a short period of time according to latest international standards and/or any additional functionality required by the customer.”
34. The World’s Largest Zero Emissions Locomotive Generation Application:Real-time monitoring and control of a 250 kW fuel cell powered Locomotive. Challenge:Performing complex control algorithms beyond simple PID control at very fast loop rates while monitoring all process parameters of the locomotive. Solution:Graphical System Design software (NI LabVIEW) and hardware (NI Compact RIO) as rapid prototyping and deployment platform for real-time control of fuel cell power plant, auxiliary battery and monitoring of engine status via CAN. “We chose LabVIEW and CompactRIO because the NI C Series modules with integrated signal conditioning helped us implement fast monitoring of the various I/O points while connecting to a wide range of specialty sensors such as flowmeters and pressure sensors.“ Tim Erickson – Vehicle Projects LLC “
35. NI Single-Board RIO (e.g. Deployment) C Series Expansion I/O FPGA Onboard Analog and Digital I/O LabVIEW Real-Time Thread-Safe Libraries Multithreaded RT OS LabVIEW FPGA 28
36. Facilities Power Control with NI Single-Board RIOReduces Energy Consumption by 15% Application:Facility power management for major bank in India Challenge:Monitor/control various infrasturctures parameters such as HVACs, lighting, printers, diesel generators, vending machines, … Solution:Embedded power monitoring system based upon NI Single-Board RIO and LabVIEW. “The NI platformallowed us to rapidly prototype with NI Single-Board RIO and LabVIEW in a record time of 2 months and saved us six months in development time.” SiddharthVerma, SaaraPvt Ltd
37. “To do for embedded what the PC did for the desktop.” ` Graphical System Design Virtual Instrumentation Instrumentation RF Digital Distributed Embedded Systems Industrial Control RT/FPGA Systems Electronic Devices C Code Generation Real-Time Measurements Embedded Monitoring Hardware-in-the-Loop DESIGN PROTOTYPE DEPLOY
38. “The future is already here, it is just unevenly distributed.” William Gibson
Editor's Notes
Thank you <name of moderator>. Good morning everyone…I’ve been with National Instruments for more than 14 years now and have had the opportunity to work with a lot of companies across Europe in various different fields such as automotive, aerospace and Energy. Having worked with various different companies I’m amazed to see how far we have come in engineering…much of what we have seen is because of the advancements in computer technology...and software has pretty much changed most of the industries we work with...modern cars are essentially a computer on wheels and air crafts fly by wire...latest technologies such as fast computer buses, high performance multi core processors and wireless communication also have a huge potential to help us dealing with some of the challenges in Energy.....that is what we are here for today.. To talk about how these technologies (SW and HW ) can be used to innovate and how you can gain access to them... Before I’ll talk more about some case studies and enabling technologies and products, I’d like to briefly introduce our company for those of you who are not familiar with what National Instruments does.
…also known as the pioneer in Virtual Instrumentation which refers to the concept of using a multifunctional piece of HW that digitizes analog signals and graphical software to acquire – analyze – present (user defines the instrument) vs. a vendor-defined box instrument. We have had a strong track record in growth and profitability which has made us not only a reliable partner for our customers and suppliers but also has given us the opportunity to hire and work with very talented people which has been an important component of our strategy as a technology company.Although we are based out of Austin, TX, USA, we have become a truly multinational company with a majority of business happening outside the United Sates. In fact National Instruments employees > 1000 people in Central Eastern Europe…Also an important part of our strategy as technology and product company is the development of our Alliance Partner channel. They master our products and add domain expertise in various areas to provide you with turn key solutions. Some of which are here today and will present along with our customers on how our technology and products are used in Energy related applications.
In his book “The Long Tail”, Chris Anderson describes that the relation between traditional products versus the grand variety all products in a market – partially disruptive or niche products - behaves like a 1/x function……This some what applies to the various energy sources as well…In the head of the tail we find our fossil fuels that globally provide a vast majority of the energy we consume. For those energy products we have an infrastructure in place. If we move down the tail along the x axis we find all possible energy sources that we started working with as well to ensure a sustainable energy supply as the demand for energy is increasing steeply.For us as engineers that brings along a number of tasks to solve in…
Industry:Process Industries, Industrial Controls/ Devices/ SystemsProducts:CompactRIO, Compact FieldPoint, LabVIEW, FPGA ModuleThe Challenge:Developing an automation system for a steel recycling facility that reduces the amount of energy consumed to comply with statewide energy regulations while improving the safety and efficiency of the plant.The Solution:Using National Instruments programmable automation controllers (PACs) and the NI LabVIEW graphical programming environment to develop plant automation solutions to accurately measure the amount of energy required to recycle steel and improve facility safety."By programming with LabVIEW and PACs versus programming with PLCs and ladder logic, we have seen a ten-fold increase in efficiency and drastically reduced the costs of facility automation. "Reducing Energy Consumption with NI Software and HardwareAt the Marion facility we manufacture a full line of rebar, sign supports, delineators, and cable barrier systems using recycled steel. During the steel recycling process scrap metal is heated in an electric arc furnace (EAF) and, depending on the type of steel being produced, a combination of elements is added to the viscous steel to create the appropriate steel alloy. This process requires large amounts of energy that vary significantly depending on the amount of scrap placed in the furnace. When we purchased the Marion facility, operators relied on estimates to determine the amount of steel placed in the furnace, causing the metal to be overheated oftentimes. This results in an unsatisfactory end product that must be recycled again, which costs the company time, money, and energy.To reduce the number of reheats, we developed a low-cost scale and weighing system using LabVIEW and NI Compact FieldPoint controllers that accurately calculated the amount of steel in each burn. Knowing the exact amount of scrap metal placed in the furnace allowed us to precisely calculate the amount of electricity required to heat the furnace. Prior to implementing this scale system, our steel measuring was hit or miss. We did not have a method of tracking the number of reheats prior to implementation of the new system, however out of the more than 6,000 batches in 2007 after deploying the new system we only performed 10 reheats, which was far less than in 2006.Eliminating Flicker with LabVIEW and NI CompactRIOOne risk involved in drawing the large amount of electricity required to heat the furnace for recycling is causing flicker on the power grid. Not only did we receive monetary penalties for using too much electricity, but the power grid flicker was an inconvenience to Marion residents. To reduce electricity consumption, we developed an online reactor in series with the furnace using the LabVIEW FPGA module and the CompactRIO platform that measures the amount of energy drawn from the power grid. If the furnace approaches the prescribed limit, the system can quickly change control methods to reduce the amount of power being drawn.Improving Facility Safety with LabVIEWOne of our core values at Nucor is employee safety, thus another goal of our facility improvements was to make the Marion location a safer place to work. We determined we needed to upgrade the method for turning the EAF on and off. Before renovating the system, an operator had to manually pull the on/off switch, which made him or her vulnerable to injury if the fuse were to blow. A Compact FieldPoint PAC and an HMI were used to create a remote power switch that does not put operators in potentially dangerous situations.The Benefits of Factory Automation Using NI PACsUsing hardware and software from NI, we developed a variety of automation systems that have greatly reduced the electricity we use and eliminated potential safety issues at our Marion, Ohio facility. By programming with LabVIEW and PACs versus programming with PLCs and ladder logic, we have seen a ten-fold increase in efficiency and drastically reduced the costs of facility automation. Additionally, by developing a proactive approach for monitoring our power intake using the National Instruments platform, we have reduced the impact our facility has on the residents of Marion by eliminating power grid flicker.
I chose to share this quote with you since it summarizes the general consensus in energy related topics and challenges…
If you look at engineering innovation, there are two key aspects: measuring and fixing….in order to know what to do we have to have a baseline. That requires measurements. The results might then lead us to improving a process through adding control or a machine through upgrading it with an embedded control systems…or we might end up designing better machines…
Let’s take a look at the technologies and products that enable our customer to rapidly measure and prototype .What makes NI unique is that for 30 years we have been helping engineers and scientists to measure and quantify data. Today we offer modular HW platforms in different form factors for data acquisition, and Instrumentation. For the past 15 years, we have been empowering engineers to fix system, providing tools for rapidly designing prototyping and deploying – for example – industrial and embedded control systems.Key technologies are Modular and multifuctional HW platformsWireless technologies to enable distributed measurements also in areas where the cables does not reachFPGA for rapidly prototyping and deploying control systems As well as the ability to implement algorithm that can be executed in real-time to solve complex control problems.< BUILD>Graphical system design is the combination
LabVIEW’s role has expanded its role further into systems design…added high level design models…Very complete platform for building next generation systems…LabVIEW can target a variety of platforms such as PC based systems, real-time systems, FPGAs and other microprocessors such as ARMs…that allow to connect via I/O modules to the real world – sensors and actuators…
Keypoint: NI, the leader in data acquisition, continues to evolve the DAQ offering to meet the changing needs of the engineer. By staying atop emerging standards, working with leading analog component vendors, and through a constant commitment to innovation in improvement – NI secured the position as the industry leader in data acquisition over the past 20 years. A look back at the history of data acquisition at NI shows constant improvement of bus technologies, analog performance, and timing and synchronization. Now
Another technology we are very excited about is wireless…today you find wireless embedded in your laptop, in wifi enabled 3G phones, and wireless sensors to monitor energy consumption. Last year we released our first wireless data acquisition products…Our latest edition to the data acquisition product family is Wireless Sensor Networks (WSNs) – WSNs are an … Industrial Rated Distributable, Wireless, Low Power measurement systemsSlide self-explanatory….
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Industry:Industrial Controls/ Devices/ Systems, Oil and Gas, Machines/MechanicsProducts:Compact FieldPoint, LabVIEW PDA Module, LabVIEWThe Challenge:Developing a reliable mercury emissions sampling system to provide the control, calibration, and maintenance features required by stringent federal regulations for coal-fired power plants.The Solution:Creating a flexible, real-time software architecture deployed with an NI Compact FieldPoint Programmable Automation Controller (PAC) with a wireless communications interface on a PDA. The PDA provides all status displays and operator interactions. The system saves data to the CompactFlash drive and broadcasts data over an RS-485 serial connection to a data logger."The success of the project was due to the processing and automation power of the NI cFP-2120 and the ease of use derived from integrating the PDA control system."Creating a flexible, real-time software architecture deployed with an NI Compact FieldPoint Programmable Automation Controller (PAC) with a wireless communications interface on a PDA. The PDA provides all status displays and operator interactions. The system saves data to the CompactFlash drive and broadcasts data over an RS-485 serial connection to a data logger.To comply with federal clean air regulations, mercury emissions from coal-fired power plants must be continuously monitored. The proportional measurement technique requires sampling rates to be continually adjusted to remain in proportion to stack flow. In addition, all calibration, maintenance, and leak-checking modes must be automated. This system uses a PAC that operates remotely, controlling the sample collection for as long as a week. The only computer connection is an RS-485 output line to a data logger. Therefore, all control and programming of the PAC, as well as all user feedback, is through a wireless connection on a PDA running the NI LabVIEW PDA Module.Sampling ModeThe full system we built controls two sampling paths that consist of sampling pumps, leak-check valves, and proportional control valves operated by the pulse-width modulation Compact FieldPoint. Immediately after connecting to the Compact FieldPoint bank, we were able to test and troubleshoot all the hardware modules in the system. This allowed several design issues to be addressed early in the process before the LabVIEW programming became too specific.Data is collected at one-second intervals and each data collection is broadcast over a serial connection to a remote system. The data is averaged hourly. Hourly averages are saved to non-volatile memory and used to adjust set points for flow and temperature control. All data is compared with a series of alarm set points that raise system flags or stop sampling during the alarm. The system needs to have the ability to enter and return from a suspended function during an alarm. The integrated RS-485 connection on the NI cFP-2120 allows industrial serial communication, and the expanded memory of the CompactFlash slot enables long-tem data storage for the system.The control loops run simultaneously with the data collection, broadcasting, and analysis. A set of heaters is controlled by PID loops to keep the sampling ports at constant temperatures. Also, to maintain the sampling flow at a constant ratio to changing stack flow rate, each flow path is controlled by its own PID controller. Each of these loops references user-defined set points in conjunction with measured values to maintain flow and temperature at required values.PDA ConnectionThe remote location of the system and lack of network connection meant that the device would run “headless” with no computer connection. The deployed executable communicates with a rugged PDA through a shared variable library with the NI cFP-2120 as the shared variable server. The variables are network published and an 802.11 wireless Ethernet bridge connects the NI cFP-2120 Ethernet port to the wireless capability of the PDA. Both system commands and changes of program state are communicated through the PDA, which can also display and change system settings. Other than beginning the automated sampling mode described above, the PDA is used to operate several user-interactive modes.CalibrationThis mode checks all the built-in sensors of the system. The calibrations range in complexity from a simple comparison to a standard in the case of thermocouple calibration, to an intricate, controlled-flow check of the dry gas meters. All calibration data is stored locally on the PAC in a LabVIEW configuration file format,. The most recent calibration values are retrieved from these files to convert and scale raw values read from the Compact FieldPoint module in each sampling run.Leak CheckThis is another automated check of the system used before each sampling run to verify the integrity of the sample path. The values are checked before and after each test, and the user can interact with the device to accept or repeat tests as necessary.MaintenanceDuring maintenance mode, the user has full control of the system. This mode can turn all pumps and valves on and off and the current state or level of all the Compact FieldPoint channels. In this mode, the user-defined functional set points can be entered, read, or updated. During this mode the NI cFP-2120 system time is automatically synchronized with the PDA to prevent divergence of timestamp values.Data TransferThe 2 GB memory of the CompactFlash means several years of data can be stored on the system. For diagnostic procedures and record keeping, a transfer mechanism is set up to collect data files from the PAC to send to the PDA. The PDA connects to the Compact FieldPoint which then populates a list with all the existing .DAT or .CAL files, any of which can be selected and copied through TCP/IP protocol to local PDA memory. The system also prevents currently used and incomplete data files from transferring in the middle of a sampling run.The success of the project was due to the processing and automation power of the NI cFP-2120 and the ease of use derived from integrating the PDA control system. This streamlined the interface for the user while allowing the automated processes to take care of most of the sampling functions. Performance was enhanced by the NI cFP-2120 incorporation of Ethernet and serial communication. The CompactFlash expandable memory saved time by avoiding the need for additional hardware integration and troubleshooting.
Certain type of application such as plasma control for fusion tokamaks require sophisticated math to be executed in real-time to be able to perform the control application. At National Instruments we call design of algorithms that the run on real-time systems connected to real data via I/O - for instance on small rugged autonomous platforms such as CompactRIO - Algorithm Engineering. In order to continue to facilitate this process we released a LabVIEW module that allows you to deploy m scripts to real-time platforms…
At the heart of our control platforms we find an FPGA chip that connects to real-world (sensors and actuators). This chip is fully programmable with the LabVIEW Graphical Development. This allows for rapid prototyping of embedded systems in software. This technology is available on all of our platforms – ranging from commercial PCs, Industrial Computers to small rugged embedded platforms such as CompactRIO.
NI promotes that you can use the same hardware and software platform to prototype, test, and then deploy high volume solutions. The biggest cost is not in creating ideas it’s verifying an ideas economic value that is expensive.
The Challenge: Implementing a power quality analyzer that includes a set of instruments, capable of performing all necessary electric power measurements andable to run in parallel on a small size hardware system with a real-time operating system. We also had to take in consideration the expandabilityof the system to encompass the latest IEC and EN standards when design measurement and data processing algorithms. The Solution:A power quality analyzer that complies with international power quality standards and is built based upon COTS (Commercial-Off-The-Shelf) toolssuch as NI CompactRIO, a rugged and scalable hardware platform and NI LabVIEW graphical development environment. Firmware that featuresan instrument user interface and a remote command library to allow easy configuration of all data acquisition tasks as well as data processing andstorage. The stored data can be analyzed comfortably off-line and it can be used for report generation too. “The ENA power quality analyzer family can be modified or extended easily in a short period of time according tolatest international standards and/or any additional functionality required by the customer.”(Dr. Daniel Kaminsky, Director at ELCOM, a.s.) Why are Power Quality Measurements Important?Electricity is a product like any other and perhaps is the most essential raw material used by commerce and industry today. It is an unusual commoditybecause it is required as a continuous flow – it cannot be conveniently stored in quantity – and it cannot be subject to quality assurance checks beforeit is used. Electricity of poor quality, for example, can cause significant damages in production lines. Therefore, by monitoring power quality, it ispossible to identify potential problems before they are big enough to create damages that all too often come with serious fnancial losses. Prevention,however, is relatively cheap and ranges from simple best-practice-design-considerations to global installations of monitoring and control equipment. What Has to be Measured?A typical power quality analyzer analyses 3 voltages of power networkto calculate voltage quality defined in international standards. Voltagequality is described by frequency, voltage level variation, flicker, three phasesystem unbalance, harmonic spectra, total harmonic distortionand signaling voltages level. In some cases is necessary to analyzetogether with the voltages also the current signals. This allows analysisof current parameters and calculation of indirect quantities like activepower, reactive power, energies and other quantities.Our power quality analyzer software and hardware suite is namedENA (ELCOM Network Analyzer) and represents a complex modularsystem for power quality monitoring according to actual internationalstandards and other national-specific documents. Considerations for Choosing the Development Platform We chose to implement our system on the NI CompactRIO platform with C Series modules. In comparison to PC-based instruments, it ismore compact, rugged, and smaller in size 3.4 x 7 x 3.5” (88 x 180 x 90mm H x W x D). It also has better temperature specifications (operatingtemperature -40°C to +70°C) as well as very low power consumption (approximately 8W). Furthermore the NI CompactRIO product family offersvarious form factors which we believed was important to be able to accommodate different customer and application needs.From the variety of I/O modules we used the NI 9225 300V power measurement module for performing high-voltage measurements. The moduleis designed for measurements, such as line-to-neutral as well as line-to-line measurements of 110V power grids and line-to-neutral measurementsof 240V power grids. For current measurements we use NI 9227. The NI 9225 and NI 9227 have simultaneously sampled channels at 50 kS/sfor accurate three-phase power metering and power quality measurements such as flicker, harmonics and power factor. Alternatively we havedesigned voltage and current modules: EL9215U-R1 and EL9215I-R1 that are based on the NI 9215 module and use our signal conditioningelectronics. These are embedded in 3 slots of a CompactRIO chassis. As software development environment we have used National InstrumentsLabVIEW for all parts of ENA software as the ease of use, portability and scalability of the solution was also very important. There exist severalmodels of CompactRIO power quality analyzers which differ in CompactRIO models and the used input modules. ENA power quality analyzerfirmware minimum requirements are 400MHz processor controller and chassis with 2M Gate FPGA. The CompactRIO-based Power Quality Analyzer The model name that we present here is ENA450, but due to the scalability of NI CompactRIO product family, the system and the portability ofthe LabVIEW code, we were able to implement the system in different form factors to accommodate various different application and customerspecific needs. Besides the implementations based upon the fully flexible NI CompactRIO system (ENA450.EC), we have created turnkey solutionswhere we have deployed our application to:» Integrated CompactRIO systems that combine a real-time processor and a reconfigurable field-programmable gate array (FPGA) within thesame chassis (ENA450.EB, ENA450.NB)» to Single-Board RIO systems that integrate the three core components of an NI CompactRIO system – real-time processor, field-programmablegate array (FPGA), and I/O – on a single printed circuit board (ENA460).The analyzer capabilities are defined by instrument hardware and software. ENA power quality monitoring system contains a bundle of softwareapplications for analyzer remote control, stored data analysis and for presenting power quality data across the Internet. The modular conceptallows fulfilling all customer needs together with minimizing costs. Measurement Capabilities The firmware ENA-Node is running directly on the CompactRIO based ENA450 analyzer and provides a measurement service that handles alldata acquisition, calculations and storing.The ENA-Node contains several software modules running in parallel:» FFT analyzer» Vector analyzer» Power Flow monitor» Flicker meter» EN50160 Voltage monitor» Half-period RMS monitor» Voltage Telegrams & Alarms» Digital InputsAll mentioned firmware modules are suited for 50Hz and 60Hz power system. Users can observe data on the instrument display and store theminto the data files. All instruments are working with a sampling rate of 9.6kS/sec per channel. The sampling rate is synchronized with frequency ofmeasured signals. Implemented algorithms follow the requirements of the actual power quality standards like IEC61000-4-30, IEC61000-4-15, andIEC61000-4-7.The software analyses three voltage signals up to 300V rmsand three currents instant values of power network to calculatevarious quantities like: RMS values, frequency, harmonic spectra,total harmonic distortion, flicker, three-phase system unbalance,active power, reactive power, energies and many other quantities.Currents as outputs of current transformers (1A/5A) can bemeasured directly by using the NI 9227 current module or theELCOM EL9215I-R1 current module connected indirectly bycurrent clamps.Voltage Current Power Energy Voltage evaluatedaccording EN50160 RMS (200ms & half period) RMS (200ms & half period) Power factor Active energy total RMSTHD THD CosineActive energy fundamental(1st harmonic)THDHarmonic (1–50th) Harmonic (1–50th) Active power total Reactive energy total Harmonics (1–25th)Interharmonic (0.5–49.5th) Interharmonic (0.5–49.5th) Active power harmonic (1–50th)Reactive energy fundamental(1st harmonic)UnbalanceDC part DC Part Reactive power total Apparent energy total FrequencyUnbalanceReactive power harmonic(1–50th)Active energy positive Signaling voltagesShort time flicker Pst,long time flicker PltActive energy negativeApparent power total Reactive energy inductiveApparent power harmonic(1–50th)Reactive energy capacitive User Interface for Instrument Control, Data Management and Reporting The easy to use user interface ENA-Touch is a graphical user interface for the ENA measurement service. All instrument control, data presentationand measurement configurations are operated through this application. To display measured quantities it allows easy and well arranged configurationand measured data presentations. There are two types of visualization panels: some panels have fixed set of quantities in tables, and somepanels have user defined set of quantities to display while enabling numerous ways on how to present data: tables, frequency domain graphs,scope, vectorscope and statistical results for power quality. ENA-Touch user interface is optimized for control by touch screen display and canbe used also on Ultra Mobile PC with resolution 800x480. ENA-Touch can control ENA-Node remotely by using TCP/IP protocol over Ethernet.Simultaneously with all on-line data presentations, the system allows to store data for off-line analysis as well. The calculated quantities areaggregated in time, and some data are statistically evaluated before storing. The data is stored periodically with defined time intervals, whileevent-based data is stored just when the event appears.With ENA-Report stored data can be analyzed comfortably off-line and besides that it can be used for report generation too. Distributed Power Quality Monitoring with ENA Distributed monitoring systems can be built using several ENA450 analyzers. The data in the distributed system can be replicated to MS-SQL orORACLE database for central storage and off-line analysis. Conclusion The main advantage of the described power quality monitoring system is its high-performance, flexibility and small size. Using the C-Series moduleswith built-in signal conditioning, and implementing the powerful and user-friendly solution, dramatically simplifies the software maintenance andfurther development without impact on the current solution. In case of any updates or changes to the standards, the instrument features can beupdated quickly and the system stays up to date. Due to the open solution the existing system can be easily integrated with other systems, as thecommunication protocols can be adjusted in accordance with customer needs or integration into existing SCADA systems. The open hardwarearchitecture makes possible to add new DIO for monitoring and controlling as well as modules for wireless communication via GPS or GSM.The flexibility of NI CompactRIO and NI LabVIEW, allowed us also to implement a complete PMU analyzer (Phase Measurement Unit) in thematter of weeks. It allows precise evaluation of the synchrophasors in accordance with the IEEE C37.118-2005 standard. We are currentlyworking on integrating the PMU analyzer with the power quality analyzer, ENA450, into one single instrument. Electrical Energy Transmission with Power Quality MonitoringENA450 wiring diagram – how to connect to power lines
Application: Using an NI CompactRIO controller to monitor and control the safety and operation of a fuel-cell locomotive and controller area network (CAN) bus to communicate the engine status to the operator via a touch panel programmed with NI LabVIEW software.Challenge:Controlling the operation of a 250 kW fuel-cell hybrid locomotive.Products: CompactRIO, LabVIEW, FPGA Module, Real-Time ModuleKey Benefit: Performs complex control algorithms beyond simple proportional integral derivative control at very fast loop rates.“We chose LabVIEW and CompactRIO because the NI C Series modules with integrated signal conditioning helped us implement fast monitoring of the various I/O points while connecting to a wide range of specialty sensors such as flowmeters and pressure sensors.“ Tim Erickson – Vehicle Projects LLC “
Products:Real-Time Module, LabVIEW, Single-Board RIO, FPGA ModuleThe Challenge:Effectively controlling and monitoring energy parameters and the consumption of critical infrastructure and assets of an enterprise, especially in a scenario where there are multiple facilities geographically distributed in different locations.The Solution:Creating a rugged and flexible embedded power monitoring and control system for facility management based on NI Single-Board RIO and NI LabVIEW to reduce the energy consumption of large facilities."A short time to market for our design was paramount. The NI platform allowed us to rapidly prototype with NI Single-Board RIO and LabVIEW in the record time of two months and saved us six months of development time."
Let’s take a look at the technologies and products that enable our customer to rapidly measure and prototype .What makes NI unique is that for 30 years we have been helping engineers and scientists to measure and quantify data. Today we offer modular HW platforms in different form factors for data acquisition, and Instrumentation. For the past 15 years, we have been empowering engineers to fix system, providing tools for rapidly designing prototyping and deploying – for example – industrial and embedded control systems.Key technologies are Modular and multifuctional HW platformsWireless technologies to enable distributed measurements also in areas where the cables does not reachFPGA for rapidly prototyping and deploying control systems As well as the ability to implement algorithm that can be executed in real-time to solve complex control problems.< BUILD>Graphical system design is the combination