Dynamic Monitoring Platform for Overall Temperature Rise of Dry-Type Power Transformers Based on Digital Twin Technology
摘要
Digital twin technology, an emerging technical method, introduces a new way to intelligently monitor electrical equipment. However, existing digital twin platforms encounter challenges, such as limitations in sensor monitoring and a disconnect between mathematical models and real-time data. To address these issues, this paper presents a comprehensive digital twin platform for dynamically monitoring the temperature rise across a dry-type power transformer. The platform is built with a complete architecture, enabling real-time three-dimensional temperature and two-dimensional electromagnetic field digital twins inside the transformer. Visualization is achieved through Unity, driven by C# scripts. An example transformer is used to visually display the temperature and electromagnetic field distributions.