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Power transformer state identification and safety prevention and control system

A power transformer and state recognition technology, applied in the field of power systems, can solve problems such as insufficient visual angle, insufficient personal safety, and main transformer safety in substations, and achieve the problem of relying on manual identification of dangerous points, reducing personal safety risks, and reducing power outage losses Effect

Pending Publication Date: 2020-10-09
JIANGSU FRONTIER ELECTRIC TECH +2
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  • Application Information

AI Technical Summary

Problems solved by technology

Manual inspection has the following deficiencies: first, there are many equipments in the station, and the inspection workload is heavy; second, the timeliness of regular inspection defect identification is poor; Deterioration state or process of defects such as oil leaks, radiator defects, and oil level drops
However, both identification and prevention and control work rely on manual work, which is an experience-accumulating and passive mode. Once dangerous points are identified and safety prevention and control measures are formulated, they do not meet the requirements of on-site operations, and accidents of missing and ignoring dangerous points still occur. This method of completely relying on manual identification of dangerous points and carrying out safety pre-control measures is still insufficient in ensuring the safety of the main transformer of the substation and personal safety.

Method used

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  • Power transformer state identification and safety prevention and control system

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Embodiment 1

[0025] Embodiment 1: The present invention proposes a power transformer state identification and safety prevention and control system, aiming at the complexity of the structural components of the main transformer, once over-temperature occurs during operation, the aging of the insulation will be accelerated and the service life will be greatly shortened, and the defects of the components may cause the main transformer In the event of a power failure, it is necessary to carry out all-round, all-component, and three-dimensional on-line monitoring technical requirements. Through the analysis and research on the defect characteristics of the main transformer components, the main transformer defect feature recognition algorithm module is developed, and the main transformer defect feature recognition algorithm is developed by deploying smart cameras. The algorithm module is deployed to the camera or video intelligent analysis server to carry out online real-time defect monitoring and ...

Embodiment 2

[0033] Embodiment 2: The present invention also proposes a sub-system for the prevention and control of the main transformer operation. According to the characteristics of the inspection and repair operation and the difference in dangerous points, the requirements for automatic safety prevention and control are realized, and different video intelligences are enabled in the video intelligence analysis server. Analysis prevention and control sub-module:

[0034] Patrol operation task sub-module: carry out the task characteristics of the patrol with a predetermined route, and deploy face recognition, cross-border detection, object leftover, wandering and cross-limit detection modules according to the dangerous points identified by the component online monitoring subsystem; Preventing personal electric shock and patrolling to avoid personal injury in case of equipment failure are safety prevention and control measures. Through real-time collection of video signals from the smart c...

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Abstract

The invention discloses a power transformer state recognition and safety prevention and control system, and the system comprises an intelligent camera which is used for collecting a video image of a power transformer; a video intelligent analysis server which is used for acquiring a video image output by the intelligent camera to perform defect monitoring and image analysis and after the defect feature image is recognized, sending out diagnosis early warning; a main transformer operation prevention and control subsystem which is used for starting different video intelligent analysis preventionand control submodules in the video intelligent analysis server according to the characteristics of inspection and maintenance operation transformation operation and the difference of dangerous points to meet the requirements of automatic safety prevention and control; and a component online monitoring subsystem which is arranged in the intelligent camera and is used for deploying a developed main transformer defect feature recognition algorithm module to realize main transformer defect image analysis and noise recognition; and the intelligent camera is in communication connection with the intelligent video analysis server.

Description

technical field [0001] The invention relates to a power transformer state identification and safety prevention and control system, belonging to the technical field of power systems. Background technique [0002] The power transformer (hereinafter referred to as the main transformer) is the core equipment of the substation, responsible for the transmission of electric energy, AC voltage conversion, stable voltage, electrical isolation, etc.; , outlet device and other components, the structure is complex. According to statistics, the operating life of transformers at normal temperatures can reach 20 years. If the temperature rises by 8°C, the insulation life will be reduced by about 50%. If the main transformer operates at a temperature exceeding 15°C, it will increase the speed of insulation aging and endanger the safe operation of the main transformer. The failure of the main transformer can cause problems such as outage of the main transformer, loss of power to the load i...

Claims

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Application Information

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IPC IPC(8): G01R31/62G01N25/72G01M3/38G01R31/12G06K9/00
CPCG01R31/62G01N25/72G01M3/38G01R31/1227G06V20/47G06V20/52
Inventor 王成亮陆玉军李澄李军王宁曹佳佳陈颢王伏亮葛永高王江彬
Owner JIANGSU FRONTIER ELECTRIC TECH
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