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Analysing method for detection data of pipeline defect leaking magnet

A defect detection and data analysis technology, applied in the field of data analysis, can solve problems such as low efficiency, difficulty in improving the accuracy of pipeline defect quantitative analysis, lack of scientific basis, etc., and achieve the effect of improving analysis efficiency and analysis accuracy

Inactive Publication Date: 2003-11-26
TIANJIN UNIV
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Problems solved by technology

The actual detection operation of the pipeline magnetic flux leakage detector is usually tens of kilometers or even hundreds of kilometers. The amount of data collected by the magnetic flux leakage detection after collection is huge. Usually, manual analysis and processing often rely on experience, which is not only inefficient, but also lacks scientific basis. Moreover, it is difficult to improve the accuracy of quantitative analysis of pipeline defects.

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  • Analysing method for detection data of pipeline defect leaking magnet
  • Analysing method for detection data of pipeline defect leaking magnet

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Embodiment Construction

[0016] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0017] Such as figure 1 As shown, the pipeline defect magnetic flux leakage detector mainly adopts the principle of magnetic flux leakage nondestructive testing to push it to walk in the steel pipe by the conveying medium, and the magnetic flux leakage signal detected by its own magnetic induction probe is recorded in the memory on the detector. After the inspection is completed, the data exchange is carried out through the interface device, and the data is further analyzed and processed in order to evaluate whether the detected steel pipe has defects and the size of the defects.

[0018] First of all, due to the huge amount of data collected by the detector, and taking into account the original data of the detection pipeline (such as weld seam information), database technology is used to reorganize the data, such as figure 2 In step 1. The database ...

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Abstract

The present invention discloses analysis and processing method of magnetic leakage detecting data of steel pipeline defect with high signal efficiency and accuracy. The technological scheme includesthe following steps: reading all data from the data memory of pipeline defect magnetic leakage detector and re-organizing; reading one section of the data for analysis; graphically displaying the data and pre-treatment; judging whether to exist defect based on data nephogram; if any, determining the defect range, analyzing quantitatively and recording the results. The present invention is used in defect analysis of oil-gas pipeline, and has high analysis efficiency and accuracy.

Description

technical field [0001] The invention relates to a data analysis method, more specifically, the invention relates to a method for analyzing and processing pipeline defect detection data. Background technique [0002] With the development of the economy, various long oil (gas) pipelines are widely used, and as time goes on, the pipelines will have defects due to various reasons. In order to reasonably maintain the pipeline and improve the ability to prevent accidents, reduce or reduce the economic loss caused by emergency repair accidents and environmental protection and other issues, the pipeline magnetic flux leakage defect detector is used to detect long-distance pipelines such as refined oil, crude oil, natural gas, and water. Online testing is the ideal choice. Through the pipeline defect detection, the defects on the pipeline caused by various reasons can be recorded intuitively, accurately and efficiently, and the defect status of the pipeli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F17D5/00
Inventor 王太勇蒋奇杨涛
Owner TIANJIN UNIV
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