Research on Biological Disaster Early Warning and Decision Support System of Nuclear Power Plant

In view of the lack of effective early warning with high time-effectiveness and large-scale monitoring data in the water intake area of Binhai Nuclear Power station, this paper is committed to the study of early warning and decision support system of typical disaster-causing organisms in Binhai nuclear power station. On the basis of constructing three-dimensional monitoring system to comprehensively monitor the typical Marine environment and disaster-causing organisms in the water intake area of nuclear power station, The deep learning prediction model of disaster-causing biomass and the prediction model of disaster-causing biological trajectory were established, and the disaster-causing biological warning and decision support system was finally constructed. According to the predicted results of biomass and migration trajectory, the system can realize the classification and early warning of discomfent-causing biological disasters and provide disposal methods. Finally, the system can publish the disaster through webGIS humancomputer interaction interface and wechat service release. Experiments show that the system can effectively assist the cold source department of nuclear power plant to carry out biological disaster prevention and control work.