Defect detection method, device and equipment for strain clamp and storage medium

A strain clamp and defect detection technology, applied in the field of defect detection, can solve the problems of heavy workload, manpower consumption, and slow detection speed

Pending Publication Date: 2020-07-28
GUANGDONG POWER GRID CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing defect detection methods for tension clamps mostly use manual detection to detect whether there is a defect in the tension clam

Method used

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  • Defect detection method, device and equipment for strain clamp and storage medium
  • Defect detection method, device and equipment for strain clamp and storage medium
  • Defect detection method, device and equipment for strain clamp and storage medium

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Embodiment 1

[0042] figure 1 It is a flow chart of a defect detection method for tension clamps provided by Embodiment 1 of the present invention. This embodiment is applicable to the detection of defects in tension clamps in power transmission lines, etc. The defect detection device can be implemented by means of software and / or hardware, and the device can be integrated in an electronic device such as a computer with a defect detection function of the tension clamp, and the method specifically includes the following steps:

[0043] Step 110, acquiring a plurality of pictures of the strain clamps in the transmission line as training pictures.

[0044] Among them, the pictures of the tension clamps in the transmission line can be the pictures of defects such as bending deformation and cracks in the transmission lines and the pictures of the tension clamps without defects. The pictures of strain-resistant clamps in transmission lines can be 5,000 pictures of strain-resistant clamps in tran...

Embodiment 2

[0053] figure 2 It is a flow chart of a defect detection method for tension clamps provided in Embodiment 2 of the present invention. The method can be executed by a defect detection device for tension clamps, and the device can be implemented by software and / or hardware. The device can be integrated in an electronic device such as a computer with a defect detection function of the tension clamp, and the method specifically includes the following steps:

[0054] Step 210, acquiring a plurality of pictures of the strain clamps in the transmission line as training pictures.

[0055] Wherein, the training pictures may be pictures of defects such as bending deformation and cracks in the transmission lines including strain clamps and pictures of no defects in the strain clamps. After obtaining multiple pictures of strain clamps in the transmission line as training pictures, the corresponding strain clamps in the training pictures can also be marked, so as to distinguish the pictu...

Embodiment 3

[0087] Figure 7 It is a structural block diagram of a defect detection device for strain clamps provided in Embodiment 3 of the present invention, the device includes a picture acquisition module 310, a model building module 320, an area determination module 330 and a defect detection module 340; wherein, the picture acquisition module 310 is used to obtain the pictures of the strain clamps in multiple transmission lines as the training pictures; the model building module 320 is used to use multiple training pictures, and establishes the detection model of the strain clamps according to the Faster RCNN algorithm, and according to the convolutional neural network Establish a classifier model based on a convolutional neural network; the area determination module 330 is used to determine the target feature area in the picture to be detected based on the Faster RCNN algorithm and the detection model of the tension clamp, obtain the coordinate information of the target feature area...

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Abstract

The embodiment of the invention discloses a defect detection method, device and equipment for a strain clamp, and a storage medium. The defect detection method comprises the steps: obtaining picturesof the strain clamp in a plurality of power transmission lines as training pictures; using the plurality of training pictures, establishing a detection model of the strain clamp according to a FasterRCNN algorithm, and establishing a classifier model based on a convolutional neural network according to the convolutional neural network; determining a target feature region in the to-be-detected picture based on a Faster RCNN algorithm and a detection model of the strain clamp, obtaining coordinate information of the target feature region, and cutting out the target feature region; and inputtingthe cut target feature region into a classifier model, and detecting whether the target feature region has defects or not based on the classifier model. According to the defect detection method, device and equipment for the strain clamp and the storage medium provided by the embodiment of the invention, the convenience of defect detection of the strain clamp can be realized, and the defect detection efficiency is improved.

Description

technical field [0001] The embodiments of the present invention relate to defect detection technology, and in particular to a defect detection method, device, equipment and storage medium of a tension clamp. Background technique [0002] In the field of power systems, the tension clamps in the transmission line are used to fix the conductors or lightning conductors on the tension insulator strings of non-linear towers, which play the role of anchoring and conducting. With the rapid development of the power grid, the voltage level of the power grid The height is getting higher and higher, the transmission lines are getting denser, and the performance defect of the strain clamp has become an important factor affecting the safe and stable operation of the power grid. Therefore, for the safe operation of the power grid and the reduction of economic losses, it is necessary to detect whether there is a defect in the tension clamp in time. [0003] At present, the existing defect ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G01N21/88
CPCG06T7/0004G06N3/08G01N21/8851G06T2207/20081G06T2207/20084G06T2207/30108G01N2021/8887G01N2021/888G01N2021/8864G01N2021/8854G06N3/045G06F18/241
Inventor 范晟马宇方志丹王烁陈光文郭济端黄小奇
Owner GUANGDONG POWER GRID CO LTD
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