A prefabricated segment quality inspection and statistical system and method for a tunnel prefabricated segment production line
A technology of statistical systems and production lines, applied in computing, computer parts, collaborative devices, etc.
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Embodiment 1
[0070] see figure 1 and 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 fr...
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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