渔光互补光伏电站智能巡检图像识别系统应用  

Application of Intelligent Inspection Image Recognition System for Fish Light Complementary Photovoltaic Power Station

作　　者：柳玉宾 王恒涛 梁振飞 王勇 周宏利 LIU Yubin;WANG Hengtao;LIANG Zhenfei;WANG Yong;ZHOU Hongli

机构地区：[1]华电电力科学研究院有限公司北京分院,北京100045 [2]华电湖北发电有限公司新能源分公司,湖北武汉430000

出　　处：《科技创新与应用》2020年第34期18-19,共2页Technology Innovation and Application

摘　　要：随着图像识别、大数据、人工智能技术在近些年的飞速发展,这些技术在渔光互补光伏发电站智能巡检、维护领域的应用成为大势所趋。文章主要介绍了卷积神经网络在渔光互补太阳能发电站图像辨认故障及识别的应用状况,并简要分析了太阳能光伏巡检图像辨认及识别的过程。With the rapid development of image recognition,big data and artificial intelligence technology in recent years,the application of these technologies in the field of intelligent inspection and maintenance of fishing-solar complementary photovoltaic power station has become a general trend.This paper mainly introduces the application of convolution neural network in image identification and recognition of fishing-solar complementary photovoltaic power station,and briefly analyzes the process of image identification and recognition of solar photovoltaic patrol inspection.

关 键 词：渔光互补 智能巡检 图像故障识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]