[1]冯秀坤,刘国通,李占峰,等.基于YOLOX算法的西北荒漠地区光伏发电板异物监测系统设计[J].工业仪表与自动化装置,2025,(03):8-14.[doi:10.19950/j.cnki.CN61-1121/TH.2025.03.002]
　FENG Xiukun,LIU Guotong,LI Zhanfeng,et al.Design and application of foreign object monitoring system for photovoltaic panels based on YOLOX algorithm[J].Industrial Instrumentation & Automation,2025,(03):8-14.[doi:10.19950/j.cnki.CN61-1121/TH.2025.03.002]
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基于YOLOX算法的西北荒漠地区光伏发电板异物监测系统设计()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2025年03期
页码:
8-14
栏目:
出版日期:
2025-06-15

文章信息/Info

Title:
Design and application of foreign object monitoring system for photovoltaic panels based on YOLOX algorithm
文章编号:
1000-0682（2025）03-0008-07
作者:
冯秀坤1; 刘国通1; 李占峰2; 余小涛3; 武 旭4
1. 中企科信技术股份有限公司，山东 聊城 252000； 2. 国网江西省电力有限公司余干县供电分公司，江西 上饶 335100； 3. 青岛鼎信通讯股份有限公司，山东 青岛 266000；4. 兰州交通大学，甘肃 兰州 730070
Author(s):
FENG Xiukun1; LIU Guotong1; LI Zhanfeng2; YU Xiaotao3; WU Xu2
（1. China Kexin Technology Co., Ltd, Shandong Liaocheng 252000, China; 2.State Grid Jiangxi Electric Power Co., Ltd Yugan power supply company, Jiangxi Shangrao 335100, China; 3. Qingdao Topscomm Communication INC., Shandong Qingdao 266000, China; 4. Lanzhou Jiaotong University, Gansu Lanzhou 730070, China)
关键词:
高速公路; 光伏发电; YOLOX; 异物检测
Keywords:
expressway;  photovoltaic power generation;  YOLOX;  foreign object detection
分类号:
TP29
DOI:
10.19950/j.cnki.CN61-1121/TH.2025.03.002
文献标志码:
A
摘要:
为解决西北荒漠地区高速公路服务区光伏发电板异物遮挡问题，提出一种基于YOLOX算法的光伏发电板异物监测系统。对于YOLOX算法原理进行详细介绍；对基于YOLOX算法的光伏发电板异物监测系统的组成及功能进行详细介绍并建立了检测算法的评价体系。以某一实际高速公路服务区为例进行算例分析并与其他算法进行对比，可以证明该文搭建的系统能够准确识别光伏发电板的异物遮挡情况，进而提高高速公路服务区光伏发电容量，具有可行性和优越性。
Abstract:
A foreign object monitoring system for photovoltaic panels based on YOLOX algorithm is proposed to solve the problem of foreign object obstruction in highway service areas in northwest desert regions. Provide a detailed introduction to the principles of the YOLOX algorithm;A detailed introduction was given to the composition and functions of the foreign object monitoring system for photovoltaic panels based on the YOLOX algorithm, and an evaluation system for the detection algorithm was established. Taking an actual highway service area as an example for numerical analysis and comparison with other algorithms, it can be proved that the system built in this paper can accurately identify the foreign object obstruction of photovoltaic panels, thereby improving the photovoltaic power generation capacity of highway service areas, and has feasibility and superiority.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2024-10-01基金项目：国家自然科学基金资助项目(52467007)第一作者：冯秀坤（1984—），男，山东省莘县人，本科，工程师，研究方向为系统控制分析、电子信息处理等。
更新日期/Last Update: 1900-01-01