Substation operation risk identification method based on multi-view video and high-precision positioning
By combining multi-view video and high-precision positioning technology with three-dimensional digital twin models and risk assessment algorithms, the problems of monitoring blind spots and positioning accuracy in traditional substation operation risk identification have been solved, realizing efficient, accurate, and real-time identification and early warning of substation operation risks, and improving the level of safety management.
Patent Information
- Application Number
- CN202511022666.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-24
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2045-07-24
AI Technical Summary
Traditional substation operation risk identification methods rely on manual observation and experience-based judgment, which are intermittent and subjective, making it difficult to achieve continuous, objective, and accurate monitoring. Furthermore, traditional monitoring methods suffer from blind spots and low positioning accuracy, failing to meet the requirements for high-precision and high-reliability risk identification.
By combining multi-view video with high-precision positioning, multiple fixed-view cameras and mobile video acquisition devices are deployed to acquire video of the work site. Combined with a high-precision positioning system and a three-dimensional digital twin model, the three-dimensional spatial coordinates of the workers and equipment are determined and real-time dynamic images are generated. Real-time risk assessment and early warning are then performed using spatiotemporal fusion algorithms and risk assessment algorithms.
It enables comprehensive, blind-spot-free monitoring of substation work sites, improves positioning accuracy and risk identification accuracy, provides timely and effective risk warnings, and enhances the level of safety management at work sites.