To read this content please select one of the options below:

A defect contour imaging method of small diameter pipeline based on self-made three-dimensional magnetic sensor

Qiang Yang (Chengdu University of Information Technology, Chengdu, China and Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Jiangxi, China)
Tianfei Xia (Chengdu University of Information Technology, Chengdu, China)
Lijia Zhang (Chengdu University of Information Technology, Chengdu, China)
Ziye Zhou (Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China)
Dequan Guo (Chengdu University of Information Technology, Chengdu, China)
Ao Gu (Chengdu University of Information Technology, Chengdu, China)
Xucai Zeng (Xihua University, Chengdu, China)
Ping Wang (Chengdu Technological University, Chengdu, China)

Sensor Review

ISSN: 0260-2288

Article publication date: 13 May 2024

9

Abstract

Purpose

The purpose of this paper is to use the corresponding magnetic sensor and detection method to detect and image the defects of small diameter pipelines. Urban gas pipeline is an energy transportation tool for urban industrial production and social life, which is closely related to urban safety. Preventing the occurrence of urban gas pipeline transportation accidents and carrying out pipeline defect detection are of great significance for the urban economic and social stability. To perform pipeline defect detection, the magnetic flux leakage internal detection method is generally used in the detection of large-diameter long-distance oil and gas pipelines. However, in terms of the internal detection of small-diameter pipelines, due to the heavy weight, large structure of the detection device and small pipe diameter, the detection is more difficult.

Design/methodology/approach

In order to solve the above matters, self-made three-dimensional magnetic sensor and three-dimensional magnetic flux leakage imaging direct method are proposed for studying the defect identification. Firstly, for adapting to the diameter range of small-diameter pipelines, and containing the complete information of the defect, a self-made three-dimensional magnetic sensor is made in this paper to improve the accuracy of magnetic flux leakage detection. And on the basis of it, a small diameter pipeline defect detection system is built. Secondly, as detection signal may be affected by background magnetic field interference and the jitter interference, the complete ensemble empirical mode decomposition with adaptive noise method is utilized to screen the detected signal. As a result, the useful signal is reconstructed and the interference signal is removed. Finally, the defect contour inversion imaging of detection is realized based on the direct method of three-dimensional magnetic flux leakage imaging, which includes three-dimensional magnetic flux leakage detection data and data segmentation recognition.

Findings

The three-dimensional magnetic flux leakage imaging experimental results shown that, compared to the actual defects, the typical defects, irregular defects and crack groove defects can be analyzed by the magnetic flux leakage defect contour imaging method in qualitative and quantitative way respectively, which provides a new idea for the research of defect recognition.

Originality/value

A three-dimensional magnetic sensor is made to adapt the diameter range of small diameter pipeline, and based on it, a small-diameter pipeline defect detection system is built to collect and display the magnetic flux leakage signal.

Keywords

Acknowledgements

This work was supported by Sichuan Provincial Science & Technology Department under Grant (No.2023NSFSC1985, No.2023YFG0046, No. 2023YFN0009, No. 2022YFN0020, No. 2022YFG0360), School Project of Chengdu University of Information Technology (No. KYTZ202148), International Joint Research Center of Robots and Intelligence Program (No. JQZN2022-001, No.JQZN2021-003), Ministry of Education industry-school cooperative education project (No. 220900882063927, No. 220900882293657), Opening Fund of Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province (Jiangxi Normal University) (No. JXZRZH202304), Opening Fund of Sichuan Research Center of Electronic Commerce and Modern Logistics (DSWL23-36) and Chengdu Qingyang District science and technology plan project (No. 2022-YF05-01134-SN).

Citation

Yang, Q., Xia, T., Zhang, L., Zhou, Z., Guo, D., Gu, A., Zeng, X. and Wang, P. (2024), "A defect contour imaging method of small diameter pipeline based on self-made three-dimensional magnetic sensor", Sensor Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/SR-12-2023-0629

Publisher

:

Emerald Publishing Limited

Copyright © Emerald Publishing Limited

Related articles