李强,刘超,梁懿,王秋琳,丘志强.基于深度学习的新型电力系统作业风险预警研究[J].电测与仪表,2026,63(4):73-81. LI Qiang,LIU Chao,LIANG Yi,WANG Qiulin,QIU Zhiqiang.Research on Operation Risk Warning in New-type Power System based on Deep Learning Method[J].Electrical Measurement & Instrumentation,2026,63(4):73-81.
基于深度学习的新型电力系统作业风险预警研究
Research on Operation Risk Warning in New-type Power System based on Deep Learning Method
Regarding the safety risks caused by improper wearing of safety helmets, smoking, and illegal entry into hazardous areas during the operation of power system, this paper studies an intelligent warning method for safety risks in operations based on improved YOLO v7 deep learning model. First, the architecture for training and using a deep learning-based operation risk warning model is discussed. Then, the object recognition and detection method based on the YOLO v7 deep learning model is analyzed, and convolutional block attention module and k-means++ methods are introduced to improve the model. Finally, the improved YOLO v7 model is used to analyze and verify its effectiveness in the aforementioned safety risk warning. Experimental results show that compared to the previous YOLO series detection methods, the improved YOLO v7 model has better performance in detecting operational safety risks in power system, and can meet the real-time detection and risk warning needs of the new power system for operational risks.
