Pipeline defect detection data collection device and method based on infrared thermal imaging

Abstract

The invention discloses a pipeline defect detection data collection device and method based on infrared thermal imaging. The device is formed by sequentially connecting an infrared thermal imaging part, a laser excitation part and a power supply part through studs. The infrared thermal imaging part comprises an imaging controller, an imaging shell, a sealing baffle and a plurality of thermal imaging cameras; the laser excitation part consists of a power part, an excitation part and an excitation controller; the power supply part is composed of a power supply shell, a sealing baffle and a battery. According to the method, a device with a snakelike pipeline robot as a carrier is adopted, when the pipe wall is subjected to heat shock through laser excitation, heat waves on the surface of the pipe wall have the transverse propagation characteristic, and therefore the sensitivity to cracks on the surface of the pipe wall is high, the excitation power and the rotating speed of a heating strip are controlled, and the pipeline is kept at the optimal temperature; the contrast ratio of thermal imaging data is higher, and meanwhile, an image distortion removing algorithm and a navigation algorithm are adopted, so that the defect positioning is more accurate.

Description

technical field [0001] The invention relates to the technical field of pipeline detection, in particular to a data collection device and method for pipeline defect detection based on infrared thermal imaging. Background technique [0002] Non-renewable resources with fluid characteristics such as oil and natural gas are widely used in various industries such as transportation and petrochemicals. They are called "black gold" and "economic blood" of the economy and even the entire society, and because they have no definite shape , because pipeline transportation has the advantage of being able to transport materials over long distances and in large quantities without considering harsh environmental factors, pipelines have become the main means of transportation for fluids such as oil and gas. my country's oil pipelines were laid underground as early as the 1950s and 1960s. Long-term use has caused some pipelines to corrode or even crack, causing oil leakage and pollution. The...

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Problems solved by technology

[0005] 1. Magnetic flux leakage detection needs to magnetize the pipeline. The magnetic permeability of non-ferromagnetic materials is close to 1. The magnetic field around the defect will not change due to the different magnetic permeability, and will not produce obvious leakage magnetic field. Therefore, the magnetic flux leakage detection For ferromagnetic material pipes only

[0006] 2. Magnetic flux leakage detection is sensitive to lamellar defects on the inner surface of the pipe wall. If the defect is inside the pipe wall material or close to the outside of the pipe wall, the degree of distortion of the magnetic field may not be significant enough. Therefore, the magnetic flux leakage detection is sensitive to defects. The depth has certain requirements. When the depth is too large, the quantification error of the detected defects inside the ferromagnetic material is relatively large.

[0007] 3. When the cracks in the pipeline are relatively narrow, or even closed cracks, firstly, because the slit width is too small, the leakage magnetic field lines are too few, and the magnetic induction intensity is too low, which may cause the leakage of the distortion magnetic field magnetic field lines to be small. Secondly, for For annular cracks, the magnetic circuit will form a closed loop, the magnetic force lines will not leak out, and the magnetic circuit will be formed inside, so magnetic testing cannot detect this type of defect

[0008] 4. Since the magnetic flux leakage detection needs to magnetize the ferromagnetic material of the pipeline, the permanent magnet tube needs to be closely attached to the wall. When the ambient temperature is low or the oil temperature is not high, a large amount of impurities such as paraffin will be precipitated from the crude oil, which may cause As a result, the robot equipped with the magnetic flux leakage detection device is stuck in the pipeline to be tested, which can easily lead to detection accidents, and then cause serious economic losses. When the inner detection robot cannot be taken out, the entire pipeline may even be scrapped

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