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.
Baxi Commercial worked closely with Eseye and IO Controls to develop and implement the system control and remote monitoring solution. The area in which these Baxi Commercial boiler house systems were installed was challenging for Baxi Commercial to ensure reliable cellular connectivity. Baxi Commercial needed a reliable connectivity supplier.
gridX has a requirement for over-the-air software updates for their gridBox devices and used the Yocto Project for their builds. The driver for the requirement was having the ability to quickly support new features, as well as deploying bug fixed and path known security vulnerabilities. New software updates with a US stick manually to all gridBox devices in the field would be prohibitively expensive and labor-intensive.
National Instruments was concerned about the future state of its enterprise search solution. Microsoft’s FAST ESP was no longer offered as a stand-alone product and it was marked for end-of-life, effective July 2013.