Pipe's bug detection based on magnetic field measurement with AMR sensors array

Zhaohui Zhang; Hongyu Zhang; Zhiqian Gong; Lin Ye; Jinhui Lan; Xisheng Li

doi:10.1117/12.717644

28 October 2006 Pipe's bug detection based on magnetic field measurement with AMR sensors array

Zhaohui Zhang, Hongyu Zhang, Zhiqian Gong, Lin Ye, Jinhui Lan, Xisheng Li

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63580E (2006) https://doi.org/10.1117/12.717644
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Pipeline transportation, as it is low cost, steady supply and high efficiency, is widely used nowadays. However, pipelines might be damaged by natural power or human activities. Thus, pipeline status monitoring, including transmogrification, corrosion, flaw and crack, shows up more and more important. This paper presents a method using magnetic field measurement system which based on AMR (anisotropy magnetic resistance) sensors array to imaging the pipe's bug. Compared with single sensor, it can capture more all-around information about the magnetic field distribution on pipe wall, and it can make the detection more veracity; Compared with the traditional pipeline pig, which based on Hall elements, it provides greater sensitivity. A mechanical model of relationships between the pipe's bug and the magnetic field distribution is given; In this AMR measurement system, the hardware includes arrangement sensors, Set/Reset circuits, amplifiers, multiplexers, DSP device, data radio module and power supply; and software contains an autocalibration algorithm, and a VC display program of the measured magnetic field. An experimental pipe bug is detected and the magnetic field is discussed.

Citation Download Citation

Zhaohui Zhang, Hongyu Zhang, Zhiqian Gong, Lin Ye, Jinhui Lan, and Xisheng Li "Pipe's bug detection based on magnetic field measurement with AMR sensors array", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63580E (28 October 2006); https://doi.org/10.1117/12.717644

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