The Study and Development of SCADA System Using Artificial Intelligence Technique

Abstract

This paper concerned the study and development of Supervisory Control and DataAcquisition (SCADA) system for the monitoring of PID process control, in view of the fuzziness andthe uncertainty of SCADA in fault-diagnosis and parameter-error. The tested model, in this case,was meant to be an educational-type boiler system, temperature and level sensors attached to theboiler. Involved in the development of a digital-data-transfer technique between a PC and PLCs,usingEthernet (TCP/IP Protocol) in communication. The SCADA system provided the procedure formonitoring and improving the uncertainty of the control loop via recalibrating the parameters. Theuncertainty of the control loop was normally caused by the changes of system dynamics such asinrush in/out flow of the fluid or the rapid changes of setting temperature. Although many PLCshave tuning procedures for these parameters adjustment, PLCs still need someone to tell them whento tune. The PC acquired PLCs? data line analyzing the logic relations of each signal concurrently.In addition, increase the efficiency and precision of control system for PLCs has not a fuzzy logicmodule.