Remote Monitoring System of PLC Communication Security Based on Deep Learning Algorithm

In order to improve the remote monitoring ability of PLC communication security, thus improving the stability of communication security and data transmission, a design method of PLC communication security remote monitoring system based on deep learning algorithm is proposed. The application layer of PLC communication security remote monitoring system includes IEC61850 communication module and communication channel transmission control module. The remote monitoring and networking control of PLC communication security are realized by the joint monitoring method of channel equalization control subsystem, channel spread spectrum and modulation subsystem. The main modules for remote monitoring of PLC communication security include specific communication service mapping module, serial unidirectional multipoint control module, PLC logic control module, gain amplification module, etc. Using deep learning and adaptive training technology, a 5G/optical fiber communication (medium voltage carrier) network structure for remote monitoring of PLC communication security is established, and a three-layer structure system of information perception layer, middleware layer and application layer is designed. Realize the component networking and logic device design of PLC communication security remote monitoring, adopt deep learning algorithm, realize the node deployment and ad hoc network adjustment in the process of PLC communication security remote monitoring, and realize the hardware design of PLC communication security remote monitoring system. The test results show that the designed PLC communication security remote monitoring system has high integration, low error rate of communication output, and good reliability of communication security monitoring process.