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Prefabricated pipe segment quality detection and statistical system and method of tunnel prefabricated pipe segment production line

A technology of statistical systems and production lines, applied in computing, computer parts, collaborative devices, etc.

Inactive Publication Date: 2016-07-27
SHANGHAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a prefabricated segment quality detection and statistics system and method for the tunnel prefabricated segment production line, through computer vision technology and sensor technology Information fusion avoids potential safety hazards and statistical errors that may occur in traditional manual inspection and statistics, and improves the efficiency of tunnel segment production

Method used

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  • Prefabricated pipe segment quality detection and statistical system and method of tunnel prefabricated pipe segment production line
  • Prefabricated pipe segment quality detection and statistical system and method of tunnel prefabricated pipe segment production line
  • Prefabricated pipe segment quality detection and statistical system and method of tunnel prefabricated pipe segment production line

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Experimental program
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Effect test

Embodiment 1

[0070] see figure 1 with figure 2 , the prefabricated segment quality detection and statistics system of the tunnel prefabricated segment production line, including track 1, prefabricated segment burial depth type and embedded part detection device and prefabricated segment shape detection device, the prefabricated segment burial depth type and prefabricated segment The embedded part detection device includes a first gate frame 2, a photoelectric switch 3, an LED supplementary light source 12, a camera 13, and a camera damping device 14; the prefabricated segment shape detection device includes: an RFID tag 5, a second gate frame 6 , RFID fixed reader-writer 7, photoelectric switch 8, LED supplementary light source 9, camera 10, camera damping equipment 11, it is characterized in that: described first door-shaped frame 2 and second door-shaped frame 6 are respectively installed on the track On the front and rear sections of 1, the photoelectric switch 3 is installed on the f...

Embodiment 2

[0072] This embodiment is basically the same as Embodiment 1, and the features are as follows:

[0073] The placement position of the photoelectric switch 3 ensures that when the steel mold 4 moves to the first door-shaped frame 2, the photoelectric switch 3 is triggered to act, and the camera 13 installed on the top of the first door-shaped frame 2 detects the action signal of the photoelectric switch 3, and an image acquisition is started The camera vibration reduction device 14 is used to reduce the safety impact of the workshop vibration on the camera 13, and has the function of moving up and down to adjust the field of view of the camera 13; the LED supplementary light source 12 provides for the shooting of the camera 13 Sufficient light source; the placement position of the photoelectric switch 8 ensures that when the steel mold 4 runs to the second door frame 6, the photoelectric switch 8 is triggered to act, and the camera 10 placed on the top of the prefabricated segme...

Embodiment 3

[0076] The prefabricated segment quality inspection and statistical system and method of the tunnel prefabricated segment production line adopt the above-mentioned system to operate, and use the deep learning algorithm to identify and classify the buried depth type and embedded parts of the prefabricated segment. The identification and classification process is divided into offline The learning process and online recognition process, the steps are as follows:

[0077] A offline learning process:

[0078] ①Standard image acquisition and preprocessing:

[0079] 1) camera 13 gathers the reinforcing bar image in the steel bar cage in steel mold 4;

[0080] 2) Filter out the background noise through the image preprocessing module;

[0081] 3) Divide the image into 5 equal parts along the length direction, and take the third standard image normalized to 128*128;

[0082] ②Establish a deep learning network: establish a convolutional neural network model with a 7-layer structure, i...

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Abstract

The invention discloses a prefabricated pipe segment quality detection and statistical system and method of a tunnel prefabricated pipe segment production line. The system comprises a track, a prefabricated pipe segment burial depth type and embedded part detection device and a pipe segment shape detection device. A depth learning algorithm is adopted to identify and classify the burial depth types of prefabricated pipe segment, and the depth learning algorithm is adopted to detect the shapes of the prefabricated pipe segments. According to the invention, the types of the tunnel prefabricated pipe segments produced by the tunnel prefabricated pipe segment production line are detected and counted on line in real time, the reliability of classification is improved, and the safety risks caused by manual classification errors in the prior art to the later construction process are avoided.

Description

technical field [0001] The invention relates to a prefabricated segment quality detection and statistics system and method for a tunnel prefabricated segment production line, in particular to the detection and statistics system and method for tunnel prefabricated segment buried depth types and tunnel prefabricated segment shape types. Background technique [0002] With the development and progress of society, urban underground space engineering has also developed rapidly. Tunnel segments in subways, tunnels and other construction sites are constantly being produced and supplied. The quality of tunnel prefabricated segments is related to the quality of subways, tunnels and other projects and Later operation safety. [0003] In the production process of tunnel prefabricated segments, the detection and statistics of the burial depth type and shape type of the produced prefabricated segments are two crucial tasks in the entire production process. During tunnel construction, the...

Claims

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Application Information

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IPC IPC(8): G06K17/00
CPCG06K17/00
Inventor 高新闻杨正哲
Owner SHANGHAI UNIV
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