In order to solve the problem that conventional monitoring methods are easily affected by the calibration of monitoring area, difficult to resist the interference of monitoring identification, and the monitoring completion rate is low, the online monitoring method based on the data center of industrial IoT equipment operation state is proposed. In this paper, we first extract the abnormal state monitoring characteristics of networked node equipment; then construct the communication abnormality online monitoring framework of industrial IoT node equipment; finally design the communication abnormality online monitoring algorithm of industrial IoT node equipment to realize the communication abnormality online monitoring. Experimental results show that: in the same communication environment, the methods in this paper can normally complete the communication anomaly online monitoring task completion rate of more than 95%, without the influence of signal interference; PSO algorithm based on the communication network traffic anomalies in the intelligent monitoring method and based on the regional residuals of the airport communication data anomalies monitoring method method can not be normal in the signal interference to complete the anomalies in the online monitoring task.