Research on Water Quality Prediction and Optimization of Circulating Cooling Water System of Refrigeration System Based on Support Vector Machine

As cooling systems enter a new era, circulating cooling water systems also enter a period of high-quality development. Insisting on the cooling method with water quality as the core, we need to provide better prediction and optimization suggestions to meet the water quality requirements of cooling systems. Based on the dynamic evolution of water quality development in circulating cooling water systems and the inherent logic of water quality characteristics, a theoretical analysis framework for water quality prediction and optimization is constructed, which can explain the water quality optimization mechanism generated by the water quality prediction mechanism related to data acquisition and pretreatment and the support vector machine. In addition, from the perspective of experimental results and practice of water quality prediction and optimization, we continue to explore the possibility of moving towards high-quality development of circulating cooling water systems. The purpose of water quality prediction and optimization of circulating cooling water systems is to provide the refrigeration system with water quality that meets the expected standards, and managers are committed to continuously improving water quality and improving the satisfaction of refrigeration system use. To this end, we have taken a series of measures, including strengthening water quality control based on the internal cycle of water quality prediction, constructing a mechanism for interaction and optimization between water quality and support vector machine perception, and establishing an evaluation system for water quality and refrigeration systems. In this way, we will realize the high-quality development of the water quality of the circulating cooling water system, boost the refrigeration system, and truly meet the users' needs.