Method for extracting metro stray current corrosion characteristic information based on data mining technology

A stray current, data mining technology, applied in the direction of weather resistance/light resistance/corrosion resistance, measuring devices, instruments, etc., can solve the problem of unpredictable corrosion and service life of buried pipelines

Active Publication Date: 2018-11-16
CHINA UNIV OF MINING & TECH
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Problems solved by technology

In engineering practice, the polarization potential is used to represent the degree of stray current corrosion of buried pipelines. Due to the influence of IR drop, the detection accuracy of polarization potential needs to be improved in practical engineering

Method used

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  • Method for extracting metro stray current corrosion characteristic information based on data mining technology
  • Method for extracting metro stray current corrosion characteristic information based on data mining technology
  • Method for extracting metro stray current corrosion characteristic information based on data mining technology

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0023] Such as figure 1 As shown, a method for extracting subway stray current corrosion characteristic information based on data mining technology can be divided into five processes: subway field parameter measurement, parameter equivalent processing, equivalent electrochemical corrosion experiment, and corrosion experiment data Excavation, corrosion risk assessment. These 5 processes can be further subdivided into the following steps, which are detailed below:

[0024] Step 1: Measure the soil resistivity ρ around the power supply interval; measure the rail-to-ground transition resistance R in the power supply interval g and rail longitudinal resistance R s ; Analyze the main ion components in the soil through soil sampling; obtain the basic parameters of the site: the length of the power supply interval L 1 , Traction current I;

[0025] Step 2: Perfo...

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Abstract

The invention discloses a method for extracting metro stray current corrosion characteristic information based on a data mining technology. The method comprises: 1, key data acquisition at the subwaysite: measuring surrounding soil resistivity, rail transit resistance and steel rail longitudinal resistance and analyzing soil ion composition, 2, equivalent treatment on metro field key data, 3, laboratory environmental electrochemical corrosion simulation, 4, experimental data mining and corrosion feature information extraction, and 5, assessment of stray current corrosion risk according to corrosion feature information. The method can acquire the necessary data of the subway field according to the data mining technology, extract stray current electrochemical corrosion feature information,evaluate the stray current corrosion risk according to the corrosion characteristic information and predict the corrosion degree and service life of the buried metal in the future.

Description

technical field [0001] The invention relates to a method for extracting feature information, in particular to a method for extracting feature information of subway stray current corrosion based on data mining technology. Background technique [0002] The stray current of the subway will cause serious electrochemical corrosion to the surrounding buried metal pipelines and concrete structures, seriously threatening the daily operation and personal safety of the subway system. Dangerous accidents caused by stray current corrosion occur frequently. The most fundamental reason is that the assessment of stray current corrosion risk of underground metal pipelines in subway is not accurate enough. Because it is difficult to determine the precise model of stray current distribution, it is difficult to measure stray current directly and accurately. According to the monitored parameters, it is difficult to predict the corrosion degree and corrosion trend of buried pipelines under the a...

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Application Information

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IPC IPC(8): G01N17/02
CPCG01N17/006G01N17/02
Inventor 李威王承涛王禹桥杨雪锋范孟豹许少毅盛连超王祥辉王瑞林李猛猛郭志安陈瑶
Owner CHINA UNIV OF MINING & TECH
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