An information security situation awareness system of an AI-based metering automation system

Abstract

The invention discloses an information security situation awareness system of an AI-based metering automation system, and relates to the technical field of situation awareness of a power distributionnetwork. The system is characterized in that a data collection module collects the power consumption information of the users, the collected information is cleaned, fused and clustered through a big data analysis module, and feature information is extracted; the artificial intelligence technology module constructs an expert database according to the historical data processed by the big data analysis module, performs artificial intelligence training learning on the real-time feature information and adds the real-time feature information to the expert database to form expert diagnosis criteria and methods; the information security simulation test module performs a cyclic simulation test and a fault injection reliability test according to the obtained diagnosis criterion and method provided by the expert database; a test result evaluates the quality risk level through the situation awareness information safety evaluation module, so that more accurate evaluation and prediction of faults orinformation safety occurrence probability and risk than manual observation and calculation are obtained, and the early warning module processes the result and gives an early warning through the datadisplay module.

Description

technical field [0001] The invention relates to the technical field of situational awareness of distribution networks, in particular to an information security situational awareness system of an AI-based metering automation system. Background technique [0002] Existing situational awareness technologies are mostly applied to network security. In the power industry, they are mostly applied to distribution networks, and relatively few are used in power collection systems; general situational awareness systems are based on the current network status to sense whether the system network is threatened. , and then conduct a qualitative analysis of the degree to which the system is threatened, but it can only predict the state of the on-site network, and there is no way to predict which device node is threatened or a failure that causes a security problem; and it can only perceive the threat, but cannot deal with the threat , the elimination of threats requires manual elimination. ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an information security situational awareness system of an AI-based metering automation system, thereby overcoming the disadvantage that the existing situational awareness system applied to the distribution network can only be tested on-site

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