Application of 3D Simulation Technology in Safety Analysis of Transmission Systems

As the core hub of the power network, the transmission system bears the responsibility of safely and efficiently converting the powerful electrical energy in the high-voltage grid into low-voltage electrical energy suitable for households, enterprises, and industrial users. To cope with the increasingly complex operating environment and constantly improving safety management requirements of the transmission system, this paper innovatively proposes a realtime evaluation system for transmission system safety that integrates artificial intelligence (AI) and 3D simulation technology. The system integrates advanced monitoring and analysis modules to capture real-time operational data of key facilities such as transmission lines and substations. It uses big data processing and machine learning (ML) algorithms for deep mining and analysis, accurately identifying potential safety hazards and fault risks. At the same time, with the help of 3D modeling technology, the system can construct a virtual simulation environment for the transmission system, achieving intuitive visualization of equipment status, operating environment, and fault scenarios. The experimental results show that the system performs well in improving the timeliness, accuracy, and emergency response capabilities of transmission system safety monitoring, laying a solid foundation for building an intelligent, digital, and visual transmission system safety management system.