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Networked Control Systems Group
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Welcome
The Networked Control Systems Group develops, advances, and deploys measurement science for sensor networks and control systems used in manufacturing, construction, and other cyber-physical systems applications. Carries out mission-related measurement science research and services to advance: predict and optimize real-time performance of networks and systems; automation and control system security and safety; and site-wide equipment and process integration. Programs/Projects
Smart Manufacturing and Construction Systems Program—The objective of the Smart Manufacturing and Construction Control Systems Program is to develop and deploy advances in measurement science for sensing, modeling, and optimizing manufacturing … Measurement Science for Optimal Production Planning—Factory optimization requires optimal planning of the factory’s workcells, production lines, and assembly operations. Critical inputs to that planning come from the product manufacturing … Manufacturing Modeling and Simulation—Although manufacturing simulation tools can be considered mainstream technology, most U.S. manufacturers do not take full advantage of this technology for a variety of reasons, including the large … Key Performance Indicator Effectiveness—Key performance indicators (KPIs) are primary tools for optimizing factory operations, but manufacturers do not fully benefit from KPIs. As a result, industry leaders are asking: which KPIs are … Measurement Science for Integration of Robotics and Automation Control Systems—Advances in robotics and sensing have the potential to dramatically increase the productivity of US manufacturing. A barrier to achieving this potential is the high cost to integrate the components … Cybersecurity for Factory Control Systems Project —Factory control systems need to be protected from vulnerabilities that may arise as a result of their increased connectivity, use of wireless networks and sensors, and use of widespread information … Factory Equipment Network Testing Framework Project —Smart factories rely heavily on both wired and wireless networks for real-time control and information exchange. Users have to make critical decisions about which technologies will meet their … QMD (Quality Measurement Data)—The information incompatibility problem in manufacturing metrology is costly to everyone. The standards solution eliminates these costs, as long as there is end user support and the standard and … Industrial Ethernet Network Performance (IENetP)—Develop metrics, tests, and tools to determine and report the network performance of industrial Ethernet devices in a standardized way. I++ DME (Dimensional Measurement Equipment)—The I++ (Inspection plus-plus) group is a loose consortium of European automobile manufacturers: Daimler, Audi, BMW, Opel, Volkswagen, Porsche, and Volvo. I++ DME is one of two current efforts … eQuipp (Exchange of Quality Measurement Process Plans)—The Exchange of Quality Measurement Process Plans Specification (eQuiPP) is a new specification in progress, which defines all the information required to generate measurement process plans on any … DML (Dimensional Markup Language) Project—The DML specification defines content and format for measurement nominals and actuals, for single part inspection results, from a coordinate measuring machine. NIST's role is to 1) contribute … |
Highlights
NIST Delivers "EtherNet/IP Performance Test Tool" to ODVANIST delivered the "EtherNet/IP Performance Test Tool" to the Open Device Net Contact
Fred Proctor, Group Leader General Information: 100 Bureau Drive, M/S 8230
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Vendors Asssociation (ODVA) on December 31st, 2007. This was the culmination of the 18-month CRADA between NIST and ODVA to develop the tool, and was associated with the USCAR A-TEAM effort. The test tool is a software package capable of conducting automated testing to determine the network performance of EtherNet/IP devices. The test tool collects information about the test from the user, generates a set of scripts based on that information, runs those scripts and collects the data, analyzes the data, and reports the results to the user in an XML-based format. ODVA plans to use this test tool as the main part of their new performance testing lab at their headquarters in Ann Arbor, MI. The test tool consisted of over 36,000 lines of code, developed largely over the last 18-months by