Optimization and Intelligent Control of Municipal Wastewater Treatment Process Based on Heat Recovery

With the continuous progress of urbanization, municipal wastewater treatment has become a core issue in urban environmental management.However, traditional wastewater treatment processes often face challenges of high energy consumption and low efficiency, resulting in significant negative environmental impacts.To enhance the sustainability and energy efficiency of wastewater treatment, heat recovery technology has emerged as a promising solution.By recovering and utilizing waste heat during the treatment process, it is possible to effectively reduce energy consumption and improve overall system efficiency.Therefore, heat recovery-based municipal wastewater treatment technology has become a focal point of current research.Although existing studies have explored the application of heat recovery in wastewater treatment, there are still some limitations, particularly in thermodynamic analysis and system optimization for practical applications.Most current studies focus primarily on the analysis of individual heat recovery effects, lacking comprehensive system simulation and intelligent control methods.As such, further in-depth research into the thermodynamic characteristics of heat recovery systems and intelligent optimization control strategies is of great theoretical significance and practical value.This paper primarily investigates the thermodynamic simulation and analysis of heat recovery-based municipal wastewater treatment systems, conducts a systematic analysis of energy flows within the heat recovery process, and explores the application of intelligent control technologies for system optimization.The research includes: first, thermodynamic simulation and analysis of municipal wastewater treatment systems, exploring the efficiency and influencing factors of heat recovery; secondly, proposing an intelligent control-based optimization method for heat recovery to improve system operational efficiency and energy-saving performance.This research not only provides new insights for energy-efficient optimization in wastewater treatment technologies but also offers theoretical support for intelligent control research in related fields.