Design and implementation of intelligent decision-making system software for industrial circulating cooling water

Corrosion and scaling is a frequent phenomenon in the operation of industrial circulating cooling water system, they have great influence on pipeline equipment, which will cause serious economic losses and waste of water resources, so the treatment of corrosion and scaling of industrial circulating cooling water is particularly important. In this paper, the relevant water quality and process data are extracted from a Petrochemical Industries Co in China, after the analysis of data pretreatment, the six factors which influence the water quality corrosion and scaling are found out, at the same time, based on the method of NARX neural network and fuzzy logic control, the prediction model of corrosion rate and adhesion rate is established, and take the method of VB and Matlab mixed programming to design decision-making system software for industrial circulating cooling water. The software not only can predict the corrosion and adhesion rate of water quality, but also according to the forecast results give the corresponding treatment advice, through the actual operation, the operation forecast period is shortened, and the operation efficiency is improved.