DEVELOPMENT OF AN INTELLIGENT CONTROL SYSTEM AND SOFTWARE FOR THE WASTEWATER TREATMENT PROCESS

Abstract

Nowadays, water scarcity is one of the most pressing global issues in the world. The application of resource-ef�icient technologies in the treatment of industri-al wastewater is of signi�icant importance. This study focuses on the intelligent con-trol of the industrial wastewater treatment process. Initially, we developed and tested a wastewater treatment device using ion-exchange resins on a mixture of industrial wastewater from the Kungrad soda plant. Based on the obtained results, an automat-ic control system was designed to regulate water hardness (H) and total dissolved solids (TDS) based on the wastewater �low rate. The Adaptive Neuro-Fuzzy Inference System (ANFIS) was implemented as the control system. The results demonstrated that the ANFIS-based control system reduces adjustment time by 25–30% and de-creases static error by 12% compared to conventional PID and fuzzy logic control methods. This led to a reduction of up to 1.3% in the energy consumption of the servo valve that regulates water �low. Additionally, to enable real-time monitoring and au-tomatic control of the process, software was developed based on the MasterSCADA 4D platform. This system provides continuous monitoring and optimization of water quality parameters (H and TDS).