湖北民族大学学报（自然科学版）2025，Vol.43Issue(1)：86-93,8.DOI:10.13501/j.cnki.42-1908/n.2024.12.011
YOLO系列算法在电力行业目标检测领域的应用与发展趋势
Application and Development Trends of YOLO Series Algorithms in the Field of Object Detection in the Power Industry
摘要
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.关键词
人工智能/YOLO系列算法/电力行业/目标检测/改进模型/未来趋势Key words
artificial intelligence/YOLO series algorithms/power industry/object detection/improved model/future trends分类
信息技术与安全科学引用本文复制引用
张豪,高林,龚宇翔,伏德粟..YOLO系列算法在电力行业目标检测领域的应用与发展趋势[J].湖北民族大学学报（自然科学版）,2025,43(1):86-93,8.基金项目
国家自然科学基金项目(12464004,61562025) （12464004,61562025）
湖北省高等学校省级教学研究项目(2017387) （2017387）
湖北民族大学校内科研项目(XN2317). （XN2317）
