Application and Development Trends of YOLO Series Algorithms in the Field of Object Detection in the Power Industry
ZHANG Hao
GAO Lin
GONG Yuxiang
FU Desu
Abstract：In order to study the application of the you only look once(YOLO)series algorithms in the field of power industry object detection,and analyze their future development trends in the industry.First,the new YOLO version 10(YOLOv10)algorithm of network structure was analyzed.Second,the application of the YOLO series algorithms to object detection in the power industry from power generation,transmission,transformation to utilization were discussed.Finally,the development trends of the YOLO series algorithms were analyzed from two aspects,namely,the potential improvement direction and the fusion of large model.The study found that significant progress had been made in terms of detection speed and precision,with substantial potential demonstrated in defect detection,fault detection,equipment monitoring,intelligent management and security monitoring.However,in the complex background,the series of algorithms still had problem of poor detection precision.The YOLO series algorithms need to be gradually applied more widely in the power industry,and further optimizations in speed and precision will be needed to address practical challenges.
Keywords：artificial intelligenceYOLO series algorithmspower industryobject detectionimproved modelfuture trends
Publication Date：2025-03-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 86-93 )