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Defect diagnosis method and system for substation equipment based on video image intelligent front-end

A technology of video image and substation equipment, which is applied in the field of intelligent inspection of substation equipment, can solve the problems of insufficient timeliness of substation equipment defect diagnosis, achieve fast and efficient image processing, and ensure the effect of rapidity

Active Publication Date: 2022-04-15
CHINA ELECTRIC POWER RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method and system for fault diagnosis of substation equipment based on an intelligent front-end of video images, so as to solve the problem of insufficient timeliness of current substation equipment fault diagnosis

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[0055]Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0056] Unless otherwise stated, the terms (including scientific and technical terms) used herein have the meanings commonly understood by those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or overly f...

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Abstract

The invention discloses a defect diagnosis method and system for substation equipment based on a video image intelligent front end. The method includes: collecting video images of the substation equipment in real time; adopting an optimal scheduling scheme, executing a lightweight defect recognition model to process the video images, and determining defects of the substation equipment according to the processing results. This method utilizes the edge computing capability set on the side of the intelligent front end to process video images in real time. Use the video image processing chip integrated in the intelligent front end to execute the fault image diagnosis algorithm of substation equipment, and generate the early warning conclusion or defect identification conclusion of the substation equipment status; realize fast and efficient image processing on the side and end side, and ensure the fault diagnosis of substation equipment speed, timeliness and accuracy.

Description

technical field [0001] The invention belongs to the technical field of intelligent inspection of power transformation equipment, and in particular relates to a defect diagnosis method and system for power transformation equipment based on a video image intelligent front end. Background technique [0002] At present, there are the following problems in the inspection and analysis of substation equipment: [0003] 1. There is a lack of means for intelligently collecting video images of substation equipment. In the early stage of development of substation equipment inspection, hand-held infrared thermal imagers, hand-held ultraviolet imagers and manual inspection methods are usually used to improve the ability to detect equipment defects, but increase the daily inspection work pressure of inspection personnel, and also impose a burden on inspection personnel. Higher technical requirements are put forward. With the construction of smart substations, video image inspection term...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V20/10G06Q10/00G06Q50/06G01N21/88G07C1/20H04N7/18
CPCG06Q10/20G06Q50/06G07C1/20G01N21/8851H04N7/18G01N2021/8887G06V20/41G06V20/10
Inventor 杨宁高飞杨洋李丽华张博文韩帅贾鹏飞
Owner CHINA ELECTRIC POWER RES INST