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Text analysis based power outage cause recognition system

A text analysis and recognition system technology, applied in the field of pattern recognition, can solve problems such as low analysis efficiency, achieve the effect of small recognition range, improve user satisfaction, and reduce the number of unrecognized

Active Publication Date: 2016-09-07
杭州远传新业科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Aiming at the shortcomings of low analysis efficiency in the prior art, the present invention provides a power failure cause identification system based on text analysis

Method used

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  • Text analysis based power outage cause recognition system
  • Text analysis based power outage cause recognition system
  • Text analysis based power outage cause recognition system

Examples

Experimental program
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Embodiment 1

[0030] The power outage cause identification system based on text analysis includes a database and a processor. The power outage data recorded by the customer service personnel in response to power outage complaints when providing customer service is recorded in the database. The processor is equipped with a text splitting and filtering expert system module , root cause identification expert system module and HDSP identification module;

[0031] The text splitting and filtering expert system module performs text splitting and filtering on the power outage data and makes each piece of power outage data after splitting and filtering have one and only one power outage reason. The text splitting and filtering expert system module includes a text splitting unit And the filter expert system unit, the text splitting unit splits the power outage data layer by layer through comma, split and semicolon successively, and the filter expert system unit filters the power outage data after the...

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Abstract

The invention relates to the field of mode recognition, and discloses a text analysis based power outage cause recognition system. The text analysis based power outage cause recognition system includes a database and a processor; the database records power outage data which is generated when customer service staff provide customer services and record frequent power outage complaints; and the processor is internally provided with a text partition and filtering expert system module, a basic cause recognition expert system module, and an HDSP recognition module. The text analysis based power outage cause recognition system can help a client lock a power outage cause from messy work orders, clear responsibility, enhance customer center management, create conditions for improving the user satisfaction, and allow enterprises to treat a power outage event timely; a used model and a used system are achieved automatically, are objective in evaluation criterion, and are good in integration performance; the workload of a worker can be greatly reduced; and the problem that inconsistent results of workers due to subjective causes can be solved.

Description

technical field [0001] The invention relates to the field of pattern recognition, in particular to a text analysis-based power failure cause recognition system. technical background [0002] At present, unstructured data accounts for about 80 to 90% of the 1.8 trillion GB capacity of big data, and it is expected to grow at a rate of 44 times by 2020. How to effectively manage, mine, and analyze the information contained in massive unstructured data has become an important challenge in the field of big data. In unstructured data, text data occupies an important position. For enterprises with a large amount of text data, how to effectively use this part of data resources determines the future development of the enterprise. In the data of the power industry customer service center, how to process the frequent power outage data in the complaint work order, so as to find out the corresponding power outage cause, which plays a vital role in improving the internal management of t...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N5/04
CPCG06F16/35G06N5/043
Inventor 李虎程树华牛良涛王伟凯吴文先徐进澎嵇望
Owner 杭州远传新业科技股份有限公司
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