Research on Big Data Intelligent Analysis Method and Key Technologies for the Management of Main Equipment in Power Grid Transmission and Transformation Based on Digital Twin Technology
Ziqian Zhang, Shengsheng Li, Yu Chen, Yunbo She, Kang Shi · 2023
In response to the challenges of real-time interactive technology for lean management of power grid assets and decision-making assistance, focusing on the key difficulties of real-time detection and identification of on-site safety risks of power transmission and transformation equipment based on live video, a big data intelligent analysis method for power grid power transmission and transformation main equipment management based on digital twin technology is proposed. The method described in this article is based on the intelligent recognition and analysis technology of power grid real-life video targets under geographical scene constraints. It deeply integrates geographic spatial information with target detection and tracking technology in real-life video, forming spatiotemporal consistency and semantic constraints in geographical scenes, maximizing the precise search range of targets in the video, and combining with efficient video target self supevised intelligent learning training methods, Create a digital twin data analysis and auxiliary decision-making component that serves the management of power transmission and transformation main equipment, providing efficient technical method support for further improving operational risk identification ability and on-site safety control level.