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National grid tree line discharge prediction method

A prediction method and line discharge technology, applied in the field of machine learning, can solve problems such as the loss of human, financial and material resources in the power grid, affecting the normal work of government agencies and the daily life of residents, so as to reduce the loss of human and material resources, facilitate computer identification, and improve employee work efficiency. Effect

Pending Publication Date: 2020-06-02
杭州华网信息技术有限公司
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AI Technical Summary

Problems solved by technology

The tree line discharge seriously affects the normal work of government agencies and the daily life of residents, and also causes a lot of loss of human, financial and material resources to the power grid
However, at present, the main countermeasures for the tree line discharge of the power towers and power transmission lines of the State Grid are still in strengthening protection and emergency response after problems occur. Provide early warning of the possibility of tree line discharge risk in the channel

Method used

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  • National grid tree line discharge prediction method
  • National grid tree line discharge prediction method
  • National grid tree line discharge prediction method

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Embodiment

[0046] like figure 1 As shown, this embodiment provides a national grid tree line discharge prediction method, which is used to predict the tree line discharge risk of the national grid's power towers, power transmission lines, and power transmission channels, including the following steps:

[0047]Collection of historical information, including historical deployment information of on-site maintenance department, historical information of tower pole and line ledger, historical information of tree types, historical information of headroom distance and historical weather information, among which, historical information of deployment of on-site maintenance department includes line defect information, hidden dangers Sub-information, fault sub-information; Meteorological history information includes weather status sub-information, temperature sub-information, humidity sub-information, wind speed sub-information, wind direction sub-information.

[0048] The above-mentioned collected...

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Abstract

The invention discloses a national power grid tree line discharge prediction method, relates to the field of machine learning, and is used for carrying out tree line discharge risk prediction on a power tower pole, a power transmission line and a power transmission channel of a state grid. The method comprises the following steps: collecting historical information, forming complete historical data, carrying out resampling on the complete historical data, training a LightGBM model, collecting current information, and forming complete current data; and performing tree line discharge risk prediction by using the trained LightGBM model. The method provided by the invention can predict the probability and the risk level of the tree line discharge risk of the power tower pole and the power transmission line, and deploy corresponding measures in advance.

Description

【Technical field】 [0001] The invention relates to the field of machine learning, in particular to a method for predicting tree line discharge of a national power grid. 【Background technique】 [0002] In the power industry, tree barriers are a huge safety hazard that is difficult to clean up. For a long time, the "tree-line" contradiction has been a persistent disease that plagues the safety of power supply. Whenever encountering strong convective weather such as strong wind, rain and snow, trees are very easy to rub or fall on the power line to cause tripping. The damage caused by the branches and leaves of this tree to the national grid line is called tree line discharge. Tree line discharge seriously affects the normal work of government agencies and residents' daily life, and also causes considerable loss of human, financial and material resources to the power grid. However, at present, the main countermeasures for the tree line discharge of the power towers and power tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N20/00
CPCG06Q10/04G06Q50/06G06N20/00Y04S10/50
Inventor 吴和俊熊志刚王敏康陆宇宁程田宝胡驰远
Owner 杭州华网信息技术有限公司
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