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A detection method for complex multi-pipeline system

A detection method and pipeline system technology, which is applied in the detection field of complex multi-pipeline systems, can solve problems such as the inability to obtain complex multi-pipeline detection, and achieve the effects of rich results, easy operation, and guaranteed accuracy

Active Publication Date: 2019-06-21
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to overcome the shortcomings in the prior art that only a single bent pipe can be detected and a complete complex multi-pipeline detection cannot be obtained, the present invention proposes a complex multi-pipeline system detection method

Method used

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  • A detection method for complex multi-pipeline system
  • A detection method for complex multi-pipeline system

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Embodiment Construction

[0041] This embodiment is a detection method for a complex multi-pipeline system, comprising the following steps:

[0042] The first step: preliminary preparation.

[0043] The preparatory preparations include pasting markers and placing rulers.

[0044]On the surface of the accessories in the pipeline system to be tested, according to the principle requirements of photogrammetry, mark points are pasted according to the size of the pipeline system to be tested and the measurement requirements; the accessories are other components in the pipeline system except the pipeline, including Valves, pumps, connections and fixtures. The marker points used include coded marker points and non-coded marker points, and the total number of coded marker points in each image is not less than 5, and the number of common coded marker points contained in two adjacent images is greater than 3; the said The image of is a picture of the surface of the pipeline system to be tested taken by the came...

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Abstract

A complex multi-pipeline system detection method, using the marker points pasted on the surface of the accessories in the pipeline system to be tested as the basis for industrial photogrammetry calculations, which are used to calculate the internal and external parameters of the digital camera in the later stage; The system edge or other rulers close to the pipeline system are used to solve the correspondence between the pixel size of the camera and the actual length size in the physical coordinate system. The invention uses optical measurement means to identify two-dimensional pipelines through image processing, and reconstructs three-dimensional pipelines based on the theory of industrial close-range photogrammetry. Due to the use of images for data processing and the high precision of 3D reconstruction of industrial photogrammetry theory, it is only necessary to take images from different angles for complex pipelines, which is easy to operate and ensures the accuracy of pipeline detection.

Description

technical field [0001] The invention relates to a detection method for a complex multi-pipeline system. Background technique [0002] Piping systems are an important part of industrial systems, and are widely used in aerospace engines and other fields. The current detection methods are mainly aimed at single-pipe inner wall detection and single-pipe shape detection. For complex multi-pipeline systems composed of multiple pipelines, three-coordinate or manual detection is mainly used. The detection efficiency is low and cannot meet today’s fast and efficient detection requirements. Moreover, the three-coordinate detection method cannot detect large-scale piping systems. [0003] Existing bent pipe detection methods are mainly the detection of a single bent pipe, a method for identifying the bending phenomenon of acoustic tubes using the acoustic transmission method for foundation pile detection (CN106501368A) uses ultrasonic waves to identify bent pipes; a bent pipe Angle d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C11/04G01B11/00G06K9/60G06T17/00
CPCG06T17/00G01B11/00G01C11/04G06V10/20
Inventor 李玉龙郭翔索涛
Owner NORTHWESTERN POLYTECHNICAL UNIV
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