Electric power communication fault emergency disposal method based on neural network classification

Abstract

The invention discloses an electric power communication fault emergency disposal method based on neural network classification. A network management alarm text is obtained through a power communication network management system, and the network management alarm text is subjected to text word segmentation and character feature extraction to preprocess network management alarm characters so as to extract each piece of network management alarm information. A marked fault type of each alarm is acquired through a manual marking method to divide the network management alarm information into a network management alarm training set and a network management alarm test set. The network management alarm training set is taken as the input of a neural network. The neural network is trained in combination with the marked fault type to acquire the trained neural network through training. The trained neural network is applied to a power communication network management system. A corresponding emergency disposal scheme is provided according to the predicted fault type. By introducing the neural network classification model, the power communication fault handling efficiency is improved, and the emergency response time is shortened.

Description

technical field [0001] The invention belongs to the technical field of electric power communication, and in particular relates to an emergency treatment method for electric power communication faults based on neural network classification. Background technique [0002] With the rapid development of the ubiquitous power Internet of Things in my country's power grid, the business carried by the traditional power communication network and the scope of network coverage have grown rapidly, and the role of the power communication network in the ubiquitous power Internet of Things has become increasingly prominent. During the rapid development of the power communication network, power communication failure events have gradually increased, causing great difficulties to the operation and maintenance of the power communication network. The existing power communication fault handling method is to manually search for alarm messages in the power communication network management system, f...

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Problems solved by technology

[0003] However, the number of alarm messages in the existing power communication network management system is huge, especially when a power communication failure occurs, the number of alarm messages will increase sharply in a short time, and the huge number of alarm messages will further affect the efficiency of fault classification and reduce the efficiency of emergency response. Hinder the development of the ubiquitous power Internet of things

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