Automatic identification method for pipeline breakage

An automatic identification and pipeline technology, applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of low rating efficiency, high labor intensity, high cost, etc., achieve good consistency, eliminate interference information, and efficiently identify Effect

Inactive Publication Date: 2020-01-31
BEIJING DRAINAGE GRP CO LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

The use of this detection method requires a lot of manual analysis of image and video data, and has extremely high professional requirements for processing personnel, resulting in low rating efficiency, high labor intensity, and high cost, which cannot meet the growing detection needs of the pipeline network.

Method used

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  • Automatic identification method for pipeline breakage
  • Automatic identification method for pipeline breakage
  • Automatic identification method for pipeline breakage

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Experimental program
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Embodiment Construction

[0052] Attached below Figure 1-11 The automatic identification method for pipeline rupture of the present invention is described in detail.

[0053] An automatic identification method for pipeline rupture, the method includes the following steps:

[0054] Step 1): Acquisition of pipeline images: use the pipeline crawling robot to collect pipeline images, and transmit them to the computer through cables; the pipeline crawling robot is equipped with a CCD camera, DC input provides power, uses PWM speed regulation, and the computer uses RS- The 422 communication mode reads the pipeline detection image, and records its pipeline image matrix as I;

[0055]

[0056] I is the image matrix, a ij is the gray value of the i and j positions of the image pixel, m is the number of horizontal pixels of the image, and n is the number of vertical pixels of the image;

[0057] Step 2): Pipeline image preprocessing: grayscale processing is performed on the pipeline image collected in ste...

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Abstract

The invention relates to an automatic identification method for pipeline fracture. The automatic identification method comprises the steps of collecting a pipeline image, converting the pipeline imageinto a grayscale image, adopting a central block image method, determining the center of a positioning pipe diameter, removing a water flow area, extracting a binary image, marking a fracture position and the like. The method can effectively eliminate interference information of the pipe diameter center, automatically screen out images with pipeline cracks, mark the positions where the cracks exist, and achieve efficient identification of pipeline crack diseases. Compared with the traditional rupture disease manual drawing method, the method has the advantages of objectivity, repeatability, consistency and the like; compared with a direct gray threshold method, the method has the advantage of low false identification rate.

Description

technical field [0001] The invention relates to the technical field of pipeline rupture detection, in particular to an automatic identification method for pipeline rupture, which can be applied to the detection of rupture diseases of drainage pipelines. Background technique [0002] Pipe rupture disease is defined as the crack or damage of the drainage pipe caused by the external force exceeding its own bearing capacity. Cracks seriously affect the drainage function of the pipeline. After the crack occurs, the water leakage will become larger and larger, and the soil around the pipeline will be loosened, eventually causing a collapse accident. [0003] At present, there are mainly two detection methods, pressure distribution method and acoustic wave method, which are applied to pipeline detection, as follows: [0004] (1) The pressure distribution method requires the pipeline to be filled with liquid, and sensors are placed everywhere to determine whether there is a defect ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/62G06T7/90G06T5/20G06K9/62
CPCG06T7/0002G06T7/13G06T7/11G06T7/90G06T5/20G06T7/62G06F18/23
Inventor 解海立王欢欢宋席发李政民于丽昕闫睿刘景旭郭宰宏刘一诺
Owner BEIJING DRAINAGE GRP CO LTD
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