Safety monitoring and emergency plan design in wastewater treatment process of nuclear power plants

This study proposes a sewage treatment system based on intelligent monitoring technology, which can monitor radioactive substances, chemical pollutants and water quality parameters in sewage in real time, and dynamically analyze the changes in pollutant concentrations in sewage. By designing innovative monitoring systems and algorithms, this study achieves accurate monitoring and rapid response to multiple pollutants. In the experimental and simulation parts, this study simulates the changes in pollutant concentrations during sewage treatment and verifies the superiority of the system in monitoring accuracy, response speed and data processing capabilities. In the sewage treatment simulation, the system successfully monitors the changes in the concentrations of pollutants such as cesium-137, strontium-90 and ammonia nitrogen. Compared with traditional algorithms, the monitoring accuracy of the WAF algorithm is improved by about 10%, the response time is reduced by about 50%, and the false alarm rate is reduced by 85%. This intelligent monitoring system can effectively improve the efficiency and safety of sewage treatment, especially in the accuracy and response speed of radioactive substances and ammonia nitrogen monitoring, which is significantly better than traditional methods. The research in this paper provides reliable technical support for intelligent monitoring and decision support in nuclear power plant sewage treatment, and provides an important reference for further improving safety assurance in sewage treatment.