Download PDF

Time Sensitive Networking

For industrial applications such as process and machine control to run smoothly, there is a need to ensure that there is low communication latency and minimal jitter in order to meet closed loop control requirements.

more...
  • SUPPLIER
  • National Instruments
    NI provides powerful, flexible technology solutions that accelerate productivity and drive rapid innovation. From daily tasks to grand challenges, NI helps engineers and scientists overcome complexity to exceed even their own expectations. Customers in nearly every industry—from healthcare and automotive to consumer electronics and particle physics—use NI’s integrated hardware and software platform to improve our world.
  • INDUSTRIES
  • Equipment & Machinery
  • FUNCTIONS
  • Discrete Manufacturing
  • CUSTOMER
  • Customers are mainly production and manufacturing engineering companies whose manufacturing processes involve a lot of machinery. In addition, a number of industrial suppliers are now working to support TSN functionality in their operations.

  • CONNECTIVITY PROTOCOLS
  • SOLUTION
  • Time Sensitive Networking (TSN) is a set of new capabilities being added to the IEEE Ethernet standards. TSN ensures that end nodes and switches have a common understanding of time and there is tighter time synchronization in these systems. TSN also ensures that packet transmission from a sender to a receiver is scheduled end to end and follows a repeating cycle. A consistent mechanism for network configuration also helps meet application needs.

  • DATA COLLECTED
  • Control System Alert, Latency, Operating Time
  • SOLUTION TYPE
  • SOLUTION MATURITY
  • Emerging (technology has been on the market for > 2 years)
  • OPERATIONAL IMPACT
  • QUANTITATIVE BENEFIT
  • USE CASES
  • Process Control & Optimization
    Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
© 2020 IoT ONE