基于自制三维磁传感器的小直径管道缺陷轮廓成像方法

IF 1.6 4区 工程技术 Q3 INSTRUMENTS & INSTRUMENTATION
Qiang Yang, Tianfei Xia, Lijia Zhang, Ziye Zhou, Dequan Guo, Ao Gu, Xucai Zeng, Ping Wang
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引用次数: 0

摘要

目的 本文旨在利用相应的磁传感器和检测方法对小直径管道的缺陷进行检测和成像。城市燃气管道是城市工业生产和社会生活的能源运输工具,与城市安全息息相关。预防城市燃气管道运输事故的发生,进行管道缺陷检测,对城市经济和社会稳定具有重要意义。在进行管道缺陷检测时,大口径长输油气管道检测一般采用磁通量泄漏内部检测法。为了解决上述问题,提出了自制三维磁传感器和三维漏磁通成像直接法来研究缺陷识别。首先,为适应小口径管道的直径范围,并包含完整的缺陷信息,本文制作了自制三维磁传感器,以提高漏磁通检测的准确性。在此基础上,建立了小口径管道缺陷检测系统。其次,由于检测信号可能会受到背景磁场干扰和抖动干扰的影响,本文采用了带自适应噪声的完全集合经验模式分解法来筛选检测信号。结果,有用信号被重建,干扰信号被去除。最后,基于三维漏磁通成像的直接方法,实现了缺陷轮廓反演成像检测,包括三维漏磁通检测数据和数据分割识别。研究结果三维漏磁通成像实验结果表明,与实际缺陷相比,漏磁通缺陷轮廓成像方法可分别对典型缺陷、不规则缺陷和裂纹沟槽缺陷进行定性和定量分析,为缺陷识别研究提供了新思路。 原创性/价值制作了适应小管径管道直径范围的三维磁传感器,并在此基础上构建了小管径管道缺陷检测系统,用于采集和显示漏磁通信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A defect contour imaging method of small diameter pipeline based on self-made three-dimensional magnetic sensor

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.

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来源期刊
Sensor Review
Sensor Review 工程技术-仪器仪表
CiteScore
3.40
自引率
6.20%
发文量
50
审稿时长
3.7 months
期刊介绍: Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.
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