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Pipe gallery fault analysis method based on keyword co-occurrence

A fault analysis method and keyword technology, applied in the fields of instruments, computing, electrical and digital data processing, etc., can solve problems such as increasing enterprise costs, time-consuming and labor-intensive, and affecting work efficiency.

Active Publication Date: 2019-07-26
SHANGHAI CHEM IND PARK PUBLIC PIPE RACK
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  • Application Information

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Problems solved by technology

[0004] The existing fault information of the utility tunnel has not been effectively utilized. Managers are usually unable to quickly judge the type and location of the fault in the utility tunnel, and cannot effectively carry out targeted maintenance work on the utility tunnel. Therefore, the troubleshooting of the utility tunnel is usually A large number of staff are required to carry out step-by-step investigations, which is time-consuming and labor-intensive, which greatly affects work efficiency and increases the cost of the enterprise

Method used

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  • Pipe gallery fault analysis method based on keyword co-occurrence
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  • Pipe gallery fault analysis method based on keyword co-occurrence

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] see Figure 1 to Figure 3 , the figure shows the present invention based on keyword co-occurrence utility gallery fault analysis method, including the following steps:

[0032] Step 1: Construct a custom dictionary based on the general dictionary and covering proper nouns and technical terms in the pipe gallery industry;

[0033] Step 2: After obtaining the fault information, perform fault information preprocessing on the fault information. The fault information preprocessing includes:

[0034] S2.1: Deduplication of fault information: If the fault information contains Chinese information and English information, compare and deduplicate the Chinese information and English information, and record the deduplicated fault information;

[0035] S2.2: Generate a word set: In the custom dictionary, use the word segmentation algorithm to segment the fault information ...

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Abstract

The invention discloses a pipe gallery fault analysis method based on keyword co-occurrence. The pipe gallery fault analysis method comprises the following steps that 1, constructing a self-defined dictionary which is based on a general dictionary and covers special nouns and special terms of the pipe gallery industry; 2, after the fault information is obtained, carrying out fault information preprocessing on the fault information; 3, after a word set is obtained, conducting keyword selection on the word set; and step 4, after carrying out word cloud visualization on the keywords, forming a keyword co-occurrence matrix and visualizing the keyword co-occurrence matrix. According to the method, fault keywords are found by means of self-defined dictionaries and word frequency statistics, andare displayed through keyword word cloud visualization; furthermore, a keyword co-occurrence network is constructed, and layout optimization is carried out by adopting a graph layout algorithm, so that analysis and visual display of fault information are achieved.

Description

technical field [0001] The invention relates to a method for analyzing the failure of a pipe gallery based on the co-occurrence of keywords. Background technique [0002] Text analysis technology refers to the representation of text and the selection of feature items, which is a basic problem in text mining and information retrieval. It converts the unstructured original text into structured information that can be recognized and processed by the computer, thereby establishing a mathematical model to describe and replace the text, and finally achieve the purpose of mining effective information from a large number of texts. Keyword co-occurrence network analysis, also called co-word analysis, is a text content analysis technology. It reveals the relationship between keywords by analyzing the co-occurrence of words or noun phrases in the same text topic. The higher the value, the stronger the correlation between the two keywords. [0003] Graph layout algorithm is an algorit...

Claims

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Application Information

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IPC IPC(8): G06F17/27G06F16/338
CPCG06F16/338G06F40/247G06F40/289
Inventor 孙华华罗懿蒋峥嵘唐聪金鸣朱统权陆理平
Owner SHANGHAI CHEM IND PARK PUBLIC PIPE RACK
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