A power grid information system fault positioning system and method based on a bidirectional deep neural network

Abstract

The invention discloses a power grid information system fault positioning system and method based on a bidirectional deep neural network. The power grid information system fault positioning system comprises a fault monitoring module, an inference machine, a database and a deep learning module. The method includes; Performing deep neural network forward and reverse training on a fault tree analysisresult; and obtaining a corresponding relation between the fault characteristics and the fault positions, storing the corresponding relation in an expert knowledge base, carrying out power grid information system fault monitoring, writing the fault characteristics obtained according to monitoring data into a characteristic database, and performing reasoning to obtain a fault positioning result according to the expert knowledge base and the fault characteristics. The problem that power grid information system fault positioning is difficult can be effectively solved; The problems of low positioning speed and inaccurate positioning are solved, so that the system can give an alarm at the first time when a fault occurs, intelligent fault positioning and intelligent processing functions of theinformation system can be realized in combination with the fault self-processing system, the operation and maintenance efficiency of the power grid information system can be further improved, and safeand stable operation of the information system is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of information system fault diagnosis, and in particular relates to a power grid information system fault location system and method based on a bidirectional deep neural network. Background technique [0002] With the development of science and technology, information systems are more and more widely used in enterprises. At present, the number of first-level deployment application systems such as coordination office, unified authority, and ERP of State Grid Corporation has reached 76 sets, and the number of second-level deployment of core systems such as marketing, finance, and production has increased year by year. These information systems provide guarantee for the production, operation and management of the power grid. Once the information system fails, it will have a catastrophic impact on the business of the power grid. [0003] The power grid information system has the characteristics of high complexi...

AI Technical Summary

Problems solved by technology

The existing technical solutions cannot meet the reliability requirements of the power grid information system, nor can it solve the intelligent requirements of the fault location and processing of the information system

[0007] At the same time, the traditional BP neural network is a local search optimization method, which has local minimization problems, slow convergence speed, different choices of BP neural network structure, contradictions between application examples and network scale, BP neural network prediction ability and Contradiction of Training Ability and BP Neural Network Sample Dependence

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