Process Predictive Control is a process management conception that implies ability to monitor processes (especially it refers to industrial processes) continuously and immediately at operation, on every working element of a process, on its every essential operation, activity or process step. This concept requires placing controls within a dynamical environment and immediately close to sources of the process performance information (mounting special sensors in elements of technological sub-processes). With a help of Process Predictive Control the process managers can perform a sensitive manner of management where a process can be adjusted quickly and responsively, right on-the-fly, what makes it different from other conceptions where only the final product is monitored in terms of its quality.
This way of process management allows anticipating and preventing any unwanted scenarios, errors and technological overloads. It can help to improve the yields, productivity and efficiency of a wide range of industrial processes, as well as to reduce risk of pollution and increase safety level.
This approach requires:
- Implementing advanced industrial sensors and detectors;
- Effective data communication and processing;
- Virtual modeling capability (requiring IT hardware and software);
- Intelligent automatics and qualified operators;