Subway tunnel segment dislocation quantity detection method

A technology of tunnel segment and detection method, which is applied in the direction of measuring device, image data processing, instrument, etc., can solve the problems of high cost, slow speed and low precision.

Active Publication Date: 2016-03-09
SHANGHAI UNIV
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Problems solved by technology

Slow speed, heavy traffic interference, and low precision; the existence of the wrong platform in the automatic detection method will significantly affect the characteristics of the International Roughness Index (IRI). There are laser profilers, ultrasonic profilers, etc., and the profilers are exp

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  • Subway tunnel segment dislocation quantity detection method
  • Subway tunnel segment dislocation quantity detection method
  • Subway tunnel segment dislocation quantity detection method

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Embodiment Construction

[0058] The technical solutions of the present invention will be further specifically described below in conjunction with the accompanying drawings and specific embodiments.

[0059] Such as figure 1 As shown, a subway tunnel segment error detection method includes the following steps:

[0060] a. The detection car collects the depth image of the subway tunnel segment through the Kinect device. The depth image size is 640×480 pixels, and the image acquisition frequency of the camera is 30 frames per second. Figure 4 (a) is the segment depth map of a certain frame collected;

[0061] b. Preprocessing the depth image data according to the depth image collected in step a to optimize;

[0062] c. According to the depth image data optimized in step b, use the double diagonal difference algorithm to convert the depth image into a binary image that can be processed by digital image technology, Figure 4 (b) is the processed binary image;

[0063] d. The noise in the binary image ...

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Abstract

The invention discloses a subway tunnel segment dislocation quantity detection method. The subway tunnel segment dislocation quantity detection method includes the following steps of: inputting a three-dimensional data matrix of a depth image acquired by a Kinect device, and performing pre-treating on data; converting the depth image into a binary image capable of being processed by a data image technology, through a double diagonal difference algorithm; processing noise in the binary image through a combined de-noising method, and meanwhile, removing special noises from bolt holes and injected holes based on shape features; extracting a dislocation framework though a thinning algorithm, identifying different dislocation lines through a global search algorithm, and finding dislocation positions in the corresponding depth image to calculating the segment dislocation quantity. According to the subway tunnel segment dislocation quantity detection method, the calculation is simple, the operation time is short, and manpower is not required; the detection of the segment dislocation quantity can be completed only through inputting the acquired depth image of a subway tunnel segment by means of surface measurement, thus, the detection method is high in efficiency and is accurate in detection.

Description

technical field [0001] The invention relates to the field of detection of subway tunnel segments, in particular to a method for detecting the amount of misalignment of subway tunnel segments. Background technique [0002] The segment misalignment of a subway tunnel refers to the elevation difference between two adjacent segments in a subway tunnel. The influencing factors of tunnel segment misalignment are quite rich and complex, such as irregular assembly, improper grouting control, improper attitude control of the shield machine, etc., which can easily cause accidents such as tunnel water leakage and segment cracking. As the damage continues to deepen, there may be a large amount of sediment influx and a large amount of water in the interior of the segment. In actual engineering, it is difficult for engineering inspectors to discover the above problems at the first point in time when segment misalignment occurs, which leads to further aggravation of the misalignment, whic...

Claims

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Application Information

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IPC IPC(8): G01B11/00G06T5/00
CPCG01B11/00G06T5/002
Inventor 高新闻俞黎卿杨正哲胡珉
Owner SHANGHAI UNIV
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