Big-data-based early warning method for transmission line fault

A fault warning and transmission line technology, applied in the fault location, detecting faults according to conductor types, measuring electricity, etc., can solve the problems of inaccurate and untimely early warning, and achieve the effect of improving work efficiency and preventing external force damage accidents.

Inactive Publication Date: 2018-03-16
ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In order to solve the technical defects of inaccurate and untimely early warning in the prior art, the present invention provides a transmission line fault early warning method and system based on big data

Method used

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  • Big-data-based early warning method for transmission line fault

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Embodiment 1

[0023] When collecting the information of the line to be tested, information collection and reporting are carried out on the hidden danger points and external break points found on the site. Theft, tall plants, floating objects, fire hazards, bird damage, air pollution, landslides, etc.

[0024] Combining the historical data of surrounding hidden dangers, including hidden danger types, hidden danger occurrence time (season, weather) and other factors, by using data mining methods such as prediction, classification, association rule analysis, clustering, and outlier analysis, the probability of hidden danger occurrence is analyzed, and combined with power The location of the corridor forms a heat map of the hidden dangers of external force damage to the power corridor.

[0025] Method Through the statistical analysis of historical breach data, a breach heat map is formed. With the accumulation of system breach and hidden danger data, based on big data analysis and mining, hidde...

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Abstract

The invention relates to a big-data-based early warning method for a transmission line fault. The method comprises the following steps: S1, collecting potential hazard and external damage informationof a line and reporting the information; and S2, on the basis of a big data mining algorithm, carrying out data mining by combining the potential hazard and external damage information of the line, historical potential hazard data, and historical external damage data, analyzing the probability of the potential hazard occurrence, and outputting an analysis result as early warning information.

Description

technical field [0001] The present invention relates to the technical field of transmission lines, and more specifically, to a transmission line fault early warning method and system based on big data. Background technique [0002] Since the transmission line has the characteristics of long path, complex surrounding terrain conditions, large regional span, great influence of environment and climate, and long inspection cycle, it is extremely vulnerable to damage by external forces. At present, the common external damage to power facilities mainly includes illegal construction, illegal buildings, tall plants, floating objects, wildfires, and bird damage. In addition, in recent years, there has been an increase in engineering construction across the country, construction of various high-speed railways and highways, continuous construction of large-scale machinery offline, and individual illegal houses, quarries, mines and other buildings are all within the line protection zone...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08
CPCG01R31/086G01R31/088
Inventor 胡长华苏立李宾
Owner ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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