Monitoring and controlling of a real-time industrial process using dynamic model control technology

Dynamic computer model for monitoring, controlling, tuning, and predictive maintenance for an industrial process is an ideal setup for today's industries. A dynamic model could provide early signal to detect deterioration of certain equipment, animated control of an industrial process, and tuning of certain control devices under real-time process dynamics. Deterioration of certain machinery may change process dynamics and in turn may influence the product quality. We use a software tool to create a dynamic model for an industrial process. We then apply this dynamic model to find tuning parameters for PID controllers, control an industrial process using computer animation, record process variables, perform statistical process control in real-time, and find the patterns for process variables to predict deterioration of certain machinery. The dynamic model was interfaced with a real-time industrial process control setup through a programmable logic controller system.