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Construction method for big data power first-aid repair hotspot prediction system

A technology of electric power emergency repair and construction method, applied in the field of electric power, which can solve problems such as multiple complaint work orders, emergency repair efficiency, poor repair effect, and mixed work order information

Inactive Publication Date: 2017-12-01
WENZHOU TUSHENG SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the national grid system, the work order data is getting bigger and bigger, and the work order information is relatively mixed. Pure manual statistical analysis no longer meets the actual needs
However, the traditional emergency repair mode has the following disadvantages. 1. Passive emergency repair has poor repair efficiency and effect. 2. The station area does not push user messages in a timely manner, resulting in many complaints and work orders.

Method used

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Experimental program
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Embodiment Construction

[0024]The construction of the hotspot map for electric power emergency repair includes the following steps: Step 1, acquire the data of various external systems and obtain the original data, Step 2, store the original data in the database, and Step 3, adopt according to the different data types in the database Different analysis methods are used for correlation analysis. In step 4, the correlation analysis results in step 3 are modeled to form a hotspot regional prediction map. In step 5, the hotspot regional prediction map is developed into an analysis and display tool. The core idea of ​​the emergency repair hotspot prediction system is to establish a database system based on the background of big data acquisition, and then analyze and compare the data in the database system to obtain factors with greater relevance, and then model these factors to make predictions Maps, so that the number of emergency repair work orders that may occur in the future location can be estimated b...

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PUM

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Abstract

The invention relates to a construction method for a big data power first-aid repair hotspot prediction system. The construction method comprises the following steps of 1, obtaining data of external systems and obtaining original data; 2, storing the original data in a database; 3, performing associative analysis by adopting different analysis methods according to different data types in the database; 4, performing method modeling according to an associative analysis result in the step 3 to form a hotspot regional prediction map; and 5, performing development on the hotspot regional prediction map to form an analysis display tool.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a construction method of a big data electric power emergency repair hotspot prediction system. Background technique [0002] In the State Grid system, the work order data is getting bigger and bigger, and the work order information is relatively mixed. Pure manual statistical analysis no longer meets the actual needs. However, the traditional emergency repair mode has the following disadvantages. 1. Passive emergency repair has poor repair efficiency and effect. 2. The station area does not push user messages in a timely manner, resulting in many complaints and work orders. However, in an existing work order forecasting project, the mining of work order information is limited to the quantity information, and other information inside the work order has not been mined; hot spots of emergency repair are not mentioned in this project, but in the actual application process The research ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/00G06Q10/04G06Q50/06
CPCG06F16/22G06F16/2462G06F16/248G06Q10/04G06Q10/20G06Q50/06
Inventor 董知周徐盛郑文斌王绍荃李峰峰沈杰陈显辉缪竞雄杨德栋
Owner WENZHOU TUSHENG SCI & TECH