Research on online monitoring and intelligent early warning system for water quality in new water diversion projects

Abstract

High quality water resources are crucial for the development of water diversion projects, and effective water monitoring and early warning can help continuously improve water quality and environment. To improve the quality level of water resources, on online water quality monitoring and intelligent warning systems for new water diversion projects are studied. An overall framework for water quality monitoring models is constructed. Specific evaluation indicators for monitoring models through processing water quality data are defined, and water quality monitoring models for water diversion projects are built. On this basis, temperature sensors, pH sensors, TDS sensors, and ORP sensors are set up and their operational functions are debugged to achieve the design of an online water quality monitoring and intelligent warning system. The experimental results show that the application of the above system can monitor and warn the water quality of water transfer projects based on abnormal conditions such as water temperature, redox capacity, dissolved solid mass, and pH value, which can provide reference for continuous improvement of water quality environment.

Keywords

water diversion project / water quality monitoring / intelligent warning / water temperature / PH value