Communication network anomaly detection method and system of intelligent converter station monitoring system

Abstract

The invention discloses a communication network anomaly detection method and system for an intelligent converter station monitoring system. The method comprises the following steps: carrying out information entropy estimation on detection vectors corresponding to network flow data of the intelligent converter station monitoring system according to a preset time window; constructing an item set mode based on the information entropy of a detection vector corresponding to each network flow data of the intelligent converter station monitoring system in each preset time window, and generating a time sequence diagram corresponding to the item set mode; dividing each item set mode into a normal item set mode and an abnormal item set mode according to the time sequence diagram corresponding to the item set mode; and performing abnormal state change trend detection on the abnormal item set mode to obtain the operation state of the communication network of the intelligent converter station monitoring system. According to the method, the precision and efficiency of network anomaly detection are improved, the management capability and emergency response capability of the communication network of the converter station monitoring system are improved, and the safety and stability of normal operation of the communication network are ensured.

Description

technical field [0001] The invention relates to the field of electric power system automation, in particular to a communication network abnormality detection method and system of an intelligent converter station monitoring system. Background technique [0002] Secondary equipment communication network security technology is one of the key technologies to ensure reliable and credible online monitoring results of intelligent converter stations. The health status of communication networks will directly affect the safe, stable and reliable operation of the entire intelligent converter station monitoring system. The most critical part of communication network management is to analyze and monitor the network operation in real time and accurately, and to discover potential safety hazards in it, so as to formulate corresponding strategies in time to respond to potential network problems. In intelligent converter stations, network message recording and analysis devices are mostly use...

AI Technical Summary

Problems solved by technology

In intelligent converter stations, network message recording and analysis devices are often used to monitor the communication network, but the function settings of existing devices are mostly focused on real-time monitoring and collection and recording of various messages, and lack of overall operating status of the network. The analysis and judgment method can neither detect abnormal conditions in time and issue early warnings when network traffic changes, nor can it display network traffic behavior characteristics by collecting data information, which provides a basis for adjusting network planning, optimizing network resource allocation, and ensuring efficient network operation.

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