摘 要:随着现代化水平越来越高,资源利用率也随之上升,但是由于资源的过度开发,资源配置方式不合理等原因,造成资源日渐匮乏,石油、煤等不可再生能源日渐匮乏,甚至引发了各国之间一系列的冲突与战争,进一步造成了世界的不稳定。因而对可再生能源的需求日益增强,世界各国都致力于研发各类新型能源,如太阳能、潮汐能、水能等可再生绿色能源。其中,利用太阳能发电是当今世界各国研发的热点之一,进而研发出了一系列品质良好的太阳能电池板。但是,随着电池板生产规模的不断扩大,电池板存在的缺陷始终无法避免,为了能提高太阳能电池板的可靠性及工作效率,针对缺陷的检测技术也成了当务之急。本文针对目前太阳能电池板存在的缺陷,设计了一种基于LabVIEW 的太阳能电池板缺陷检测系统。
关键词:LabVIEW;太阳能电池板缺陷;检测系统
中图分类号:TM914.4 文献标识码:A 文章编号:2096-4706(2019)07-0040-03
Development and Research of Defect Detection System for Solar Panels Based on LabVIEW
LOU Bin1,CHEN Chen1,SHEN Yanxin2
(1.Jiaxing Nanyang Polytechnic Institute,Jiaxing 314031,China;2.Wuxi Ruikong IoT Technology Co.,Ltd.,Wuxi 214028,China)
Abstract:As the level of modernization is getting higher and higher,the resource utilization rate is also rising. However,due to the over-exploitation of resources and the unreasonable allocation of resources,resources are becoming scarcer. Oil,coal and other nonenergy sources are becoming scarcer and even triggered. A series of conflicts and wars between countries have further caused instability in the world. As a result,the demand for renewable energy is increasing,and all countries in the world are committed to research and development of various types of new energy sources,such as renewable energy such as solar energy,tidal energy and water energy. Among them,the use of solar power is one of the hot spots of research and development in the world today,and has developed a series of good quality solar panels. However,with the continuous expansion of the production scale of the panel,the defects of the panel are always unavoidable. In order to improve the reliability and work efficiency of the solar panel,the detection technology for the defect has become a top priority. In this paper,based on the defects of current solar panels,a solar panel defect detection system based on LabVIEW is designed.
Keywords:LabVIEW;defects of solar panels;detection system
参考文献:
[1] 钱晓亮,张鹤庆,陈永信,等. 基于机器视觉的太阳能电池片表面缺陷检测研究现状及展望 [J]. 北京工业大学学报,2017,43(1):76-85.
[2] 陶伟. 光伏电池板表面缺陷红外检测技术研究 [D]. 杭州:中国计量大学,2016.
[3] 任韶杰. 基于机器视觉的开发板表面缺陷检测技术研究 [D]. 太原:中北大学,2018.
[4] 贾朋,王昊,王昱涵,等. 基于EL 的太阳能电池局部缺陷与电流分析 [J]. 电子设计工程,2018,26(7):123-127.
[5] 朱亚萍,刘康. 基于视觉的太阳能电池片位置检测 [J]. 杭州电子科技大学学报(自然科学版),2018,38(1):65-69.
作者简介:楼彬(1989.03-),女,汉族,浙江东阳人,讲师, 硕士研究生,主要研究方向:数据采集。