Power communication network fault positioning method

Abstract

The invention discloses a power communication network fault positioning method, and the method comprises the steps: firstly carrying out the preprocessing of historical warning data, obtaining a plurality of important warning attributes, and distributing influence factors; secondly building base classifiers serving as sub-prediction models, respectively predicting the historical warning data, and enabling prediction accuracies to serve as base classifier weights; thirdly enabling the plurality of base classifiers to divided into base classifier sets, obtaining the mean weight and mean influence factor of each group through estimation, obtaining the comprehensive weight of each group, selecting the maximum comprehensive weight, wherein a fault type corresponding to the maximum comprehensive weight is a final prediction result; building a combined prediction model at this moment; predicting existing warning data through employing the combined prediction model, and obtaining a final fault positioning prediction result. The method solves problems of low accuracy and speed in the technology of fault positioning, employs the built combined prediction model for fault positioning, remarkably improves the accuracy of fault positioning, and greatly shortens the fault positioning time.

Description

technical field [0001] The invention relates to the technical field of communication network management, in particular to a fault location method for a power communication network. Background technique [0002] The power communication network relies on the establishment of the power grid and is the support and guarantee for the construction of the smart grid. It is mainly responsible for transmitting data services, monitoring network performance, and managing production and operation. With the complexity of the network structure, the diversification of equipment, and the large-scale development of services, the power communication network is no longer a traditional single-level structure, and multimedia services such as video and voice have also been added to it. Therefore, when the power communication network fails, a large amount of complex alarm data will be generated, and these data information will bring a serious burden to the real-time monitoring system and database s...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides a fault location method for power communication network, which can effectively solve technical problems such as low accuracy and slow response in the existing fault location technology. When a network fault occurs, it is required to be able to quickly and efficiently find the particularity of the fault source. The present invention specially designs a weighted combination decision tree classification method based on influence factor correction that is suitable for power communication network fault location. This method overcomes the single decision tree classification method. Due to the disadvantages of large device error, it can realize fault location more efficiently and accurately

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