ABSTRACT
This chapter presents a design methodology for discrete-event process monitoring (supervisory control and data acquisition), fault management combining control strategies (logic and feedback), and a supervisory algorithm. Using functional and operational process methods (e.g., FAST and SADT methods) process control and supervision systems are decomposed into components related to process data gathering, analysis, and reporting. Subsequently, the supervision and control system architecture is described through (1) database structure, (2) data acquisition, and (3) monitoring and decision support units. Then, the formal modeling of fault management strategies is outlined in terms of fault classification and diagnosis, as well as control strategy integration. A graphical-based formulation of process tasks is developed from their operating boundaries, data-type definition, and visual encoding, as well as interaction techniques through the analysis of start and stop process operating modes. Some industrial processes are used to illustrate such design methodology, including cement pozzolana drying, brewery bottle washing, and induction motor condition monitoring. Eventually, a distributed control system design approach to synchronize the process operations of interconnected subprocess components, under cooperative requirements, is described and illustrated.
