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Distribution network first-aid repair work order processing method and device

A technology for emergency repair and processing method of distribution network, applied in the field of information processing, can solve problems such as consuming a lot of time, resources, accuracy and flexibility can not meet the demand, etc., to enhance work efficiency, improve data processing efficiency, and increase reliability. Effect

Pending Publication Date: 2020-12-04
STATE GRID ZHEJIANG ELECTRIC POWER +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing processing method for these natural language information is to judge the keywords in the information, but the accuracy and flexibility of this method are far from meeting the needs, and manual processing is often required to ensure the accuracy. The processing method needs to consume a lot of time and resources

Method used

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  • Distribution network first-aid repair work order processing method and device
  • Distribution network first-aid repair work order processing method and device
  • Distribution network first-aid repair work order processing method and device

Examples

Experimental program
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Effect test

Embodiment 1

[0043] The application of NLP technology can formulate rules through training, and quickly process the language that needs to be faced in the disorderly distribution network production process, thereby efficiently improving work efficiency and response time. Let the electronic computer liberate people from huge data processing, and use Neuro-Linguistic Programming (NLP) technology to standardize the natural language constructed by non-standard language, etc.

[0044] Based on the description of NLP technology, the embodiment of this application proposes a method for processing distribution network emergency repair work orders, such as figure 1 As shown, the distribution network emergency repair work order processing method includes:

[0045] Step 1. Import the data of the distribution network emergency repair work order to be processed and the expression of the pre-established hidden Markov model into the Viterbi algorithm for iterative calculation, and obtain the calculated s...

Embodiment 2

[0086] The application of NLP technology can formulate rules through training, and quickly process the language that needs to be faced in the disorderly distribution network production process, thereby efficiently improving work efficiency and response time. Let the electronic computer liberate people from huge data processing, and use Neuro-Linguistic Programming (NLP) technology to standardize the natural language constructed by non-standard language, etc.

[0087] Based on the description of NLP technology, the embodiment of this application proposes a distribution network emergency repair work order processing device 3, such as image 3 As shown, the distribution network emergency repair work order processing device 3 includes:

[0088] The sequence construction unit 31 is used to import the data of the distribution network emergency repair work order to be processed and the expression of the pre-established hidden Markov model into the Viterbi algorithm for iterative calc...

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Abstract

The embodiment of the invention provides a distribution network first-aid repair work order processing method and device, and the method comprises the steps: importing to-be-processed distribution network first-aid repair work order data and a pre-established expression of a hidden Markov model into a Viterbi algorithm for iterative calculation, and obtaining a calculated state sequence corresponding to a distribution network first-aid repair work order; carrying out convolution operation on the obtained state sequence, classifying and sorting operation results according to different power failure reasons, and obtaining and counting specific reasons used for representing power grid faults in the distribution network repair work order. According to the method, the distribution network first-aid repair work order is used as the recognition model for matching, semantic mining and learning are carried out on the work, and adaptive work order processing is realized, so that the data processing efficiency is improved, the reliability is improved, the active recognition rate of the work order is further improved, and the distribution network repair work efficiency is enhanced.

Description

technical field [0001] The invention belongs to the field of information processing, and in particular relates to a method and a device for processing distribution network rush repair work orders. Background technique [0002] In the current power distribution system, faced with a large amount of work order information involving a large number of natural language, it is often through the first stage of sorting through manual customer service, and then purely statistical analysis, but the information contained in the work order is not only There are only regular and orderly content, but also information described by a large amount of irregular and unfixed natural language. Information described in natural language plays a key role in the analysis of distribution network information. The existing processing method for these natural language information is to judge the keywords in the information, but the accuracy and flexibility of this method are far from meeting the needs, ...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q50/06G06N3/04G06K9/62G06F40/30G06F40/295
CPCG06Q10/20G06Q50/06G06F40/295G06F40/30G06N3/045G06F18/24
Inventor 陈蕾杨勇黄俊黄武浩张弛魏心泉吕广宪郑伟彦陆一鸣刘鹏段祥骏余慧华
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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