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In order to accurately perceive the abnormal situation of nuclear power plant equipment and prevent abnormal increase in load voltage and load current values, a large-scale nuclear power plant equipment abnormal situation perception system based on time series is designed. In terms of system hardware design, improve the real-time connection relationship between the device data automatic processing module, device anomaly signal collector, and situational behavior awareness device. In terms of system software design, a time series model is constructed to process abnormal data of nuclear power plant equipment. Select core abnormal situation indicators, follow the scalar processing process, and use threshold methods to perceive the abnormal situation of nuclear power equipment. Then, in conjunction with hardware design, complete the design of a large-scale nuclear power plant equipment abnormal situation awareness system based on time series. The experimental results indicate that the above system can maintain the stable operation of nuclear power plant equipment by accurately sensing the abnormal situation of the equipment, controlling the load voltage and load current values of the equipment within the threshold.