Real-time detection method for state of split knife switch

A real-time detection, split-type technology, applied in the field of image recognition, can solve the problem of low real-time detection accuracy of the knife switch status

Pending Publication Date: 2020-03-31
南京鑫和汇通电子科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of low real-time detection accuracy of the knife switch state in th

Method used

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  • Real-time detection method for state of split knife switch
  • Real-time detection method for state of split knife switch
  • Real-time detection method for state of split knife switch

Examples

Experimental program
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Example Embodiment

[0045] Example 1: Such as figure 1 with figure 2 The method for real-time detection of the state of the split knife switch shown includes: collecting real-time monitoring video of the split knife switch, acquiring each frame of the video and establishing the model of the split knife switch based on any frame image The boundary line model of the knife arm is saved as a model file, and the midpoint and center line of the knife arm are calculated according to the model file; sample images of the split knife arm are obtained through various methods, and the sample images are obtained by deep learning. Train the model, use the training model to detect the first frame of the video, obtain all the knife gate area and the state of the knife in the first frame of image, and combine the model file to locate the knife in the first frame of image; according to the above positioning As a result, perform edge detection on the first frame of the video, obtain the edge line set, and calculate ...

Example Embodiment

[0047] Example 2: On the basis of Example 1, the center line is used to distinguish the updated edge line set from left to right. After obtaining the left knife arm edge line set and the right knife arm edge line set respectively, the weight is assigned, and the weighted The left knife arm edge line set and the right knife arm edge line set are paired symmetrically.

[0048] Embodiment 2 assigns weights to the edge line set of the left knife arm and the edge line set of the right knife arm on the basis of Example 1, and identifies the knife area based on the positioning of the knife area in the first frame of image. Then, the identified edge lines of the knife switch are first distributed through weights and then symmetrically paired to determine the final left and right knife arm edge lines of the knife switch. In the same way, when processing each frame of image, the knife area is identified based on the positioning of the knife area in the frame of image, and then the identifi...

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Abstract

The invention provides a real-time detection method for the state of a split knife switch, and the method comprises the steps: collecting a real-time monitoring video of the split knife switch, obtaining each frame of image of the video, establishing a boundary line model of a knife switch arm of the type, and storing the boundary line model as a model file; obtaining sample images through multiple ways, training the sample images through deep learning to obtain a training model, then detecting each frame of image to obtain a knife switch area and a knife switch state in the image, and positioning a knife switch in the image in combination with a model file; performing detection according to a positioning result, and calculating an initial included angle between the left knife switch arm and the right knife switch arm; estimating a system error, determining a correction included angle between the left knife switch arm and the right knife switch arm in the next frame of image, judging the real-time state of the knife switch in each frame of image until the knife switch is detected to stop moving, and verifying the final state of the knife switch movement in the video; according to the method, the problem of low real-time detection precision of the state of the split knife switch is solved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method for real-time detection of the state of a split knife switch. Background technique [0002] Knife switch is an electrical appliance that is used very frequently in high-voltage switching appliances, and it plays an isolation role in the circuit. In practical applications, due to the long-term operation of the knife switch, there will be situations where the knife switch is not closed or opened properly, and this situation will cause an arc to be generated between the left and right knife switch arms of the knife switch. Arc is a gas discharge phenomenon. The instantaneous spark generated by the current passing through some insulating media may cause fire or threaten personal safety; in addition, the arc temperature is extremely high, and it is easy to burn the insulating material, causing leakage events or causing damage to the knife switch equipment. ; Theref...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/181G06T7/60G01B11/26
CPCG01B11/26G06T7/0004G06T7/13G06T7/181G06T7/60G06T2207/10016G06T2207/20081G06T2207/30108
Inventor 汪辉任大明
Owner 南京鑫和汇通电子科技有限公司
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