Information extraction method and system for frequent power outage work orders based on information extraction technology
An information extraction and electrical technology, applied in the electric power field, can solve the problems of differences in analysis accuracy, long work order analysis time, and labor-intensive problems, so as to promote management optimization, enhance enterprise competitiveness and sustainable development capabilities, and save human resources. Effect
Active Publication Date: 2022-05-10
GUANGZHOU BAILING DATA CO LTD
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Problems solved by technology
[0003] The traditional work order processing and analysis method is to manually read one by one, analyze and extract key information one by one from the processing content text, due to the large amount of work order text and the long time for work order analysis, this method is inefficient, labor-intensive, and the accuracy of the analysis is low. Varies depending on the person's business experience
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[0028] Please refer to Figures 1 to 6 , in this embodiment, the frequent power outage work order information extraction method based on text mining technology includes the following steps:
[0029] S1. Text of cleaning work order.
[0030] 1) Converts full width characters to half width characters. Specifically, the characters encoded as 65281-65374 in Unicode are converted into characters encoded as 33-126. The space is special, and its full angle code is 12288, which should be changed to 32.
[0031] 2) Key typo correction. Analyze the text and correct the key typos, such as changing "fault warranty form" to "fault repair form".
[0032] S2. Mark the outage information description text in the work order sample, locate the starting position of the outage information based on the named entity recognition technology, and extract the outage information description text, such as Figure 2 。
[0033] S21. Mark the sample. Obtain the historical work order, mark the power failure informa...
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The present invention relates to the field of electric power technology, and is a method and system for extracting frequent power outage work order information based on information extraction technology. The method includes: marking the power outage information description text in the work order sample, and based on named entity recognition technology, locating and describing the power outage information The starting position is to extract the power outage information description text; extract the power outage information number and fault repair order number; classify the power outage information, determine the power outage type, outage type, power outage reason, and responsible department for each power outage information; analyze the voltage level field, The description characteristics of the number of power outages in the work order text, extract the fields of voltage level and number of power outages; analyze the writing mode of the power outage time in the work order text, extract the start and end time of the power outage, and judge whether the work order belongs to intensive power outages. The invention intelligently analyzes power outage work orders, studies the root cause of customer appeals, and improves the analysis speed and accuracy of power enterprise frequent power outage work orders.
Description
technical field [0001] The invention relates to the field of power technology, in particular to a power frequent power outage work order information extraction method and system based on information extraction technology. Background technology [0002] Power enterprises receive users' demands through 95598 hotline channel and form work orders for distribution processing. After handling users' demands, staff form processing work orders and submit them to enterprises for feedback. Among them, frequent power outages account for a large proportion of work orders. In order to understand the causes of demands and management defects, power enterprises need to analyze the processing of work orders. [0003] The traditional work order processing and analysis method is to manually read one by one, analyze and extract the key information from the processed content text one by one. Due to the large amount of work order text and long work order analysis time, this method is inefficient, labor...
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IPC IPC(8): G06Q50/06G06F40/295G06F16/35
CPCG06Q50/06G06F40/295G06F16/35
Inventor 杨钊姜磊桂媛郑志钉谢东源
Owner GUANGZHOU BAILING DATA CO LTD