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A method, system and device for detecting a buckle loss fault
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A fault detection and lock technology, applied in the field of lock loss fault detection and train lock loss fault detection, can solve problems such as low detection efficiency and low detection accuracy, and achieve improved efficiency, improved stability and shortened time. effect of time
Active Publication Date: 2021-07-16
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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[0003] The purpose of the present invention is to solve the problems of low detection accuracy and low detection efficiency when detecting lock loss faults by manually checking images, and propose a lock loss fault detection method, system and device
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specific Embodiment approach 1
[0048] Specific implementation mode 1. Combination figure 1 and image 3 This embodiment will be described. A lock loss fault detection method in this embodiment, the method is specifically implemented through the following steps:
[0049] Collecting the side image of the train, and intercepting the area image of the locking parts to be identified from the collected side image of the train;
[0050] Use the VGG network to extract the features of the intercepted image of the area to be identified;
[0051] Through the multi-level convolutional network with different receptive fields, the deep abstract representation of the original image at different scales is extracted, that is, the image features at different depths;
[0052] Input the extracted features into the trained improved deep residual shrinkage network, and output the position information and category information of the locking parts through the trained improved deep residual shrinkage network;
[0053] The impro...
specific Embodiment approach 2
[0066] Embodiment 2: This embodiment differs from Embodiment 1 in that: when the trained improved deep residual shrinkage network outputs the category information of the locking parts as an interference item or a failure that the current model does not have, it is considered that it has not been detected. Fault, no alarm;
[0067] Otherwise, when the category information of the output lock parts is the fault existing in the current model, the output position information of the lock parts is mapped to the collected complete image of the side of the train to obtain the position of the fault in the complete image of the side of the train, and carry out Call the police.
specific Embodiment approach 3
[0068] Specific Embodiment 3: This embodiment differs from Specific Embodiment 1 in that: the first convolutional layer, the second convolutional layer, the third convolutional layer, the fourth convolutional layer, the fifth convolutional layer, and the sixth convolutional layer The number of channels of the convolutional layer, the eighth convolutional layer, and the ninth convolutional layer is C.
[0069] In the present invention, the value of the channel number C is 3.
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Abstract
The invention discloses a method, system and device for fault detection of lock lock loss, belonging to the technical field of train lock lock loss fault detection. The invention solves the problems of low detection accuracy and low detection efficiency when detecting lock buckle loss faults by manually checking images. The method of the present invention is specifically realized through the following steps: collecting a complete image of the side of the train, and intercepting the image of the locking part to be identified from the collected complete image of the side of the train; performing feature extraction on the image of the intercepting locking part to be identified; The extracted features are input into the trained improved deep residual shrinkage network, and the position information and category information of the locking parts are output through the trained improved deep residual shrinkage network. The invention can be applied to the fault detection of train lock buckle loss.
Description
technical field [0001] The invention belongs to the technical field of fault detection for train lock lock loss, and in particular relates to a lock lock loss fault detection method, system and device. Background technique [0002] The lock is the locking device of the train. Once the lock falls off, the train skirt may vibrate, loosen or even fall off, endangering personal safety and causing heavy losses. In order to ensure the smooth and safe operation of the train, it is necessary to identify and detect the locking condition, and once it is found to be falling off, it needs to be dealt with immediately. At present, manual inspection of images is used to check the faults of the lock buckle, and the inspectors are prone to fatigue and omissions during the work process, resulting in missed inspections and wrong inspections, resulting in low accuracy of fault detection, and further It affects driving safety, and the number of locks is large, the efficiency of manual inspecti...
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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/32G06K9/62G06N3/04
CPCG06V10/25G06N3/045G06F18/214
Inventor 王璐
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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