Intelligent control system for flocculation of water supply

Abstract

Abstract Flocculation which affects the quality of water supply is the main step of water treatment. The most commonly used control method for flocculation is the streaming current detection-based control method using a single-loop feedback. However, the traditional control system cannot adapt to the change of raw water’s quality, the set value of streaming current can only be adjusted manually. In order to solve this problem, an intelligent control system for flocculation of water supply is designed based on the neural network and fuzzy control to adjust the set value of streaming current and tune the control parameters automatically in this study. The experimental results show that the proposed intelligent control system can control the flocculant dosage accurately. It is of great significance to improve the quality of water supply and reduce the cost of water treatment.