Intelligent dosing and control analysis system for coal mine domestic sewage based on STM32F303

Abstract With the development of the coal mine industry, the treatment of domestic sewage in coal mines has become an essential topic of environmental protection. Traditional sewage treatment methods have problems such as low efficiency and complicated management, and it is challenging to meet the increasingly strict environmental protection requirements. Therefore, the research of intelligent dosing and control systems becomes necessary. Based on the STM32F303 microcontroller, this study designs and implements an intelligent dosing and control analysis system for coal mine domestic sewage. The system monitors critical parameters such as pH value, turbidity, and dissolved oxygen in sewage in real time and adopts a fuzzy control algorithm and Proportional-Integral-Derivative Control Algorithm (PID) control strategy to realize intelligent adjustment of the dosing process. Through experimental verification, the system can effectively reduce Chemical Oxygen Demand (COD) and Biochemical Oxygen Demand (BOD) in sewage under different pollution load conditions, improve treatment efficiency, and ensure the sewage effluent quality meets the national discharge standard. The experimental data show that the control error of the system is less than ±2%, the dosing accuracy is more than 10% higher than that of the traditional system, the degree of automation is significantly improved, and the operation is convenient.