Method for evaluating state of overhead line after typhoon disaster based on unmanned aerial vehicle

Abstract

The invention provides an unmanned aerial vehicle-based post-typhoon-disaster overhead line state evaluation method. The method comprises the following steps of obtaining over-the-year inspection defect data of an overhead line; performing statistical analysis on the inspection defect data over the years by adopting a TF-IDF statistical method to obtain a plurality of defect types, defect specific descriptions corresponding to the defect types and defect severity; constructing a naive Bayesian analysis prediction model, and performing training learning according to defect types, defect specific descriptions and defect severity; then, collecting power transmission line state data through an unmanned aerial vehicle, performing data mining on the power transmission line state data and obtaining correlation characteristics; and inputting the correlation characteristics into a trained naive Bayesian analysis and prediction model to obtain actual defect types and defect severity. According to the method, a TF-IDF statistical method and the naive Bayesian analysis and prediction model are combined together, and data acquisition is performed through an unmanned aerial vehicle, so that the efficiency and accuracy of defect prediction can be greatly improved.

Description

technical field [0001] The invention relates to the technical field of power transmission line status assessment, in particular to a method for evaluating the status of overhead lines after a typhoon disaster based on an unmanned aerial vehicle. Background technique [0002] Hainan Island is located in the tropics and is often hit by typhoons in summer. Typhoons can cause defects in transmission lines to varying degrees, such as tilting, uplifting of transmission towers, damage to hardware, etc. The state of the transmission line is evaluated, the defect state of the transmission line is obtained, and timely repair and maintenance are carried out. [0003] At present, when the staff of the power system evaluates the state of the transmission line, they basically make judgments through manual inspections. Manual judgments are based entirely on experience, which cannot guarantee the accuracy of the state evaluation, and some fittings such as suspension clamps are set at high ...

AI Technical Summary

Problems solved by technology

[0003] At present, when the staff of the power system evaluates the state of the transmission line, they basically make judgments through manual inspections. Manual judgments are based entirely on experience, which cannot guarantee the accuracy of the state evaluation, and some fittings such as suspension clamps are set at high The overhead line at the site, the staff need to climb up to check the status of the fittings, there is a certain safety risk

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