FPGA-based buried pipeline damage harmonic magnetic field detection system and implementation method

Abstract

The invention discloses an FPGA-based buried pipeline damage harmonic magnetic field detection system and an implementation method. The system is characterized in that a magnetic information detection module comprises a harmonic magnetic field focusing detection probe and a power-adjustable pulse carrier excitation source, and is used for the detection and induction of a magnetic signal; the data acquisition module comprises acquisition and quantification of probe induction data under harmonic excitation; the data information high-speed processing module FPGA is used as a main control chip and is used for carrying out high-speed parallel acquisition, processing and communication on multi-channel data; the algorithm filtering module performs data cleaning to filter impurity signals in the magnetic signals and realize adjustable filtering parameters; the mobile displacement calculation module is used for positioning defects and marking strong magnetic interference under actual working conditions; the data storage module uses an ARM as a main control chip and is used for real-time arrangement and storage of data. The system is advantaged in that a problem of accurate positioning of pipeline damage is solved, accuracy of a defect detection result is guaranteed, engineering detection efficiency is improved, and the engineering detection requirement can be met.

Description

technical field [0001] The invention relates to the field of pipeline damage detection, in particular to an FPGA-based buried pipeline damage harmonic magnetic field detection technology. Background technique [0002] The non-excavation detection technology of in-service pipelines is a technology that directly detects the defects of the pipeline body on the ground. In recent years, such detection technologies mainly include magnetic tomography (MTM), transient electromagnetic detection (TEM), and NoPig technology. Magnetic tomography (MTM) uses the Vieri principle to detect changes in the magnetic field direction and intensity of the leakage magnetic field generated by pipeline defects and stress concentration areas, and to estimate the type of defects, which is more suitable for welds, cracks and other defects with obvious stress concentration Detection, detection of damage types has limitations, and poor anti-interference ability. Transient electromagnetic detection tech...

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Problems solved by technology

The equivalent current center offset method (NoPig) is to detect pipe body defects according to the equivalent current center offset under high and low frequency detection by loading multi-frequency alternating current at both ends of the pipeline. This method can only be used to detect abnormalities on the pipeline axis. Symmetrical metal loss, and it is necessary to excavate the ground in advance to drive steel brazing into the pipeline

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