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
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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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