Research on intelligent inspection system for power facilities based on digital twins
YU Ling
ZHANG Yang
WANG Size
YU Guo
LIU Tong
HUO Ming
Abstract：The safety and stability of power facilities are an important cornerstone for ensuring social production and life.The traditional inspection methods have obvious shortcomings in terms of accuracy and timeliness,and are unable to meet the complexity and real-time requirements of modern power systems.To address this issue,digital twin technology,as an emerging technology,has shown great potential in the field of intelligent inspection of power facilities.The article explores the application of digital twin technology in intelligent inspection systems for power facilities,conducting an in-depth analysis of its working principles,technical framework,and application effects.By performing real-time data acquisition and analysis between physical power facilities and their virtual models,the technology can significantly enhance the intelligence level,efficiency,and accuracy of inspections,ultimately achieving precise fault diagnosis and prediction of power facilities.
Keywords：digital twinintelligent inspectionfault prediction
Publication Date：2025-08-25
Pages：4( 52-55 )