Relay holding pressure plate state identification system and method based on YOLO Nano algorithm
A state recognition and pressing plate technology, which is applied in the field of image recognition, can solve the problems of low efficiency and accuracy of state recognition and unrecognized images of the subsequent pressing plate, so as to improve the recognition efficiency and practicability, improve the accuracy and recognition efficiency, and improve the The effect of flexibility
Inactive Publication Date: 2021-08-13
ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID
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[0005] This application provides a system and method for identifying the state of the relay-holding plate based on the YOLO Nano algorithm, which is used to solve the problem that the current state recognition system of the relay-holding plat
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[0037]In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0038] At present, the status image recognition system of the relay pressure plate is used to check the state of the relay pressure plate. Most of them are combined with the track robot and the background server. Specifically, first, the track robot is responsible for collecting the image data of the pressure plate and uploading it to the background server. Then, th...
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The invention discloses a relay pressure plate state identification system and method based on a YOLO Nano algorithm, and the system improves the use flexibility of a hand-held terminal through integrating an image collection module, a graphic processing module, an image identification module and an abnormity identification module in the hand-held terminal, reduces the structural complexity and cost of the image collection module, and solves the problem that an image cannot be recognized due to the fact that an existing relay pressure plate state recognition system cannot solve the problems of light reflection of a glass door, a visual blind area, foreign matter blocking and the like. Meanwhile, an image recognition module trained based on a YOLO Nano deep convolutional neural network is used for recognizing the relay pressure plate image so as to obtain relay pressure plate state information, so that the accuracy and recognition efficiency of pressure plate state recognition can be improved; meanwhile, whether the relay pressure plate state information is abnormal or not is judged through the initial relay pressure plate state information; therefore, the identification efficiency and practicability of the state of the relay pressure plate are further improved.
Description
technical field [0001] The present application relates to the technical field of image recognition, in particular to a state recognition system and method for a pressure-retaining plate based on the YOLO Nano algorithm. Background technique [0002] The correct switch on and off of the relay protection and automatic device pressure plate is related to the realization of its corresponding functions. If there is a missed switch or wrong switch on and off the pressure plate, the relay protection and automatic device will not be able to operate correctly when a short circuit fault occurs in the equipment, resulting in the failure of the device. Refuse to operate or misoperate, resulting in large-scale power outages, system disconnection and other power grid accidents, resulting in major economic losses and adverse social impacts. Therefore, substation operators need to carry out monthly regular checks, annual special checks, Ensure the power supply or start a special check on th...
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Login to View More IPC IPC(8): G06K9/62G06K9/40G06N3/04G06N3/08G06Q50/06
CPCG06N3/08G06Q50/06G06V10/30G06N3/045G06F18/241
Inventor 李新海曾庆祝罗其锋蔡根满梁景明廖伟全温焯飞孟晨旭肖星曾令诚范德和陈伟雄张粟高晓岚吴棉廷
Owner ZHONGSHAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID