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A Crack Width Detection and Correction Algorithm for Subway Tunnel

A technology of crack width and correction algorithm, applied in the field of rail transit, can solve the problems of crack width error, can not well represent cracks, etc., to achieve the effect of reducing impact, fast detection, and reducing maintenance costs

Inactive Publication Date: 2016-07-13
BEIJING JIAOTONG UNIV
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Problems solved by technology

Due to the complex environment in the subway tunnel, there are errors in the crack width obtained by image processing, which cannot represent the actual crack width well. This patent proposes an effective subway tunnel crack width detection and correction algorithm to minimize the crack caused by The influence of the environment in the tunnel and measurement errors on the true width of the crack, so as to obtain the best estimated value

Method used

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  • A Crack Width Detection and Correction Algorithm for Subway Tunnel
  • A Crack Width Detection and Correction Algorithm for Subway Tunnel
  • A Crack Width Detection and Correction Algorithm for Subway Tunnel

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Embodiment Construction

[0016] Earlier we briefly explained the crack width detection and correction algorithm, but it is still at the theoretical stage. In the actual application process, the algorithm should be based on image processing, data fusion technology and manual activities, mainly including the data acquisition stage, data processing Phases and data correction Three phases:

[0017] 1. Data collection stage:

[0018] The data acquisition stage mainly completes the data acquisition task, that is, the vehicle-mounted detection equipment is equipped with an image acquisition device, such as a CCD camera, to scan the entire tunnel at a certain speed to obtain a scanned image of the entire tunnel. Based on the image, the width of all cracks is obtained through image processing technology In this process, the crack width database is established synchronously, and the database must have a record for the width of each crack to provide a data source for the next stage. Specifically:

[0019] (1) ...

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Abstract

The invention relates to the detection and estimation of the crack width of subway tunnels in rail transit. In the process of detecting cracks on the surface of subway tunnels, due to the complexity of the environment inside the subway tunnel, such as dust cover, shadow influence, etc., the detection of crack width will be interfered, and the inaccurate limit of crack width measurement in the image processing process, simple The crack width data obtained through one image processing cannot completely and accurately represent the real crack width, and there may be large errors, which cannot meet the safety requirements. Therefore, this algorithm proposes an effective crack width detection and correction algorithm for subway tunnels. The algorithm flow of the present invention is divided into three stages: data acquisition stage, data processing stage, and correction stage. The invention fuses the result obtained by image processing with historical data, and improves the authenticity of crack width prediction.

Description

technical field [0001] The invention relates to the detection and estimation of the crack width of subway tunnels in rail traffic, and belongs to the field of rail traffic. Background technique [0002] Since the reform and opening up, with the acceleration of urbanization in our country, urban traffic is facing unprecedented pressure. As an important part of urban traffic, urban rail transit is one of the important measures to alleviate traffic congestion. Urban rail transit is characterized by fast running speed, high traffic density, large passenger flow, and closed environment. Therefore, it has extremely high requirements for operational safety and requires a safe and reliable infrastructure system as a guarantee. In urban rail transit, due to the dynamic impact of running vehicles, geological deformation, and nearby construction and other factors, the tunnel surface is often damaged, deformed, and a large number of cracks are generated, which has a significant impact o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/02G06F19/00
Inventor 张振江刘云付俊松亓大鹏吴晓阳赵阳阳付慧蕾
Owner BEIJING JIAOTONG UNIV
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