陈 功,蔡 磊,张 琳,左 佑,束双昊,路宗祥,王振刚,朱 颖.光伏热斑模拟建模及热成像分析[J].电子测量与仪器学报,2021,35(8):191-197
光伏热斑模拟建模及热成像分析
Photovoltaic hotspot simulation modeling and thermal imaging analysis
  
DOI:
中文关键词:  光伏板  热斑  等效电路  阴影遮挡  热成像  模拟检测平台  K 均值聚类  特征值
英文关键词:photovoltaic panel  hotspots  equivalent circuit  shadow occlusion  thermal imaging  simulation testing platform  K-means clustering  eigenvalues
基金项目:江苏高校文化创意协同创新中心研究课题(XYN1805)、南昌航空大学无损检测技术教育部重点实验室开放基金(EW201980089)、教育部产学合作协同育人项目(20192156019、201902156031)
作者单位
陈 功 1. 常州工学院 电气信息工程学院,2. 常州大学 机械与轨道交通学院 
蔡 磊 1. 常州工学院 电气信息工程学院,2. 常州大学 机械与轨道交通学院 
张 琳 2. 常州大学 机械与轨道交通学院 
左 佑 1. 常州工学院 电气信息工程学院 
束双昊 1. 常州工学院 电气信息工程学院 
路宗祥 1. 常州工学院 电气信息工程学院 
王振刚 1. 常州工学院 电气信息工程学院 
朱 颖 1. 常州工学院 电气信息工程学院 
AuthorInstitution
Chen Gong 1. School of Electrical and Information Engineering, Changzhou Institute of Technology,2. School of Mechanical Engineering and Rail Transit, Changzhou University 
Cai Lei 1. School of Electrical and Information Engineering, Changzhou Institute of Technology,2. School of Mechanical Engineering and Rail Transit, Changzhou University 
Zhang Lin 2. School of Mechanical Engineering and Rail Transit, Changzhou University 
Zuo You 1. School of Electrical and Information Engineering, Changzhou Institute of Technology 
Shu Shuanghao 1. School of Electrical and Information Engineering, Changzhou Institute of Technology 
Lu Zongxiang 1. School of Electrical and Information Engineering, Changzhou Institute of Technology 
Wang Zhengang 1. School of Electrical and Information Engineering, Changzhou Institute of Technology 
Zhu Ying 1. School of Electrical and Information Engineering, Changzhou Institute of Technology 
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中文摘要:
      机载热成像检测太阳能光伏板表面时,热斑的产生存在不确定性,为解决上述问题,分析热斑产生的机理,构建阴影遮 挡下的光伏板等效电路模型,得到局部阴影条件下的光伏板表面发热量与输出电流的数学表达式,经 MATLAB/ Simulink 仿真 及温度实测验证。 搭建无人机热斑模拟检测平台,改变输入电流及检测高度得到光伏板表面热成像图,建立表征不同温度下的 像素统计值的分段函数,采用 K 均值聚类算法搭建特征值数据库,用于后续故障光伏板的定位。 实验结果表明,该方法具有电 流对光伏板表面温度的可控性且采用分段函数-K 均值聚类混合算法构建的红外热成像特征库能准确表示热斑。
英文摘要:
      In order to solve the uncertainty of hotspot when airborne thermal imaging detects the surface of solar photovoltaic panels. The mechanism of hotspot is analyzed, and the equivalent circuit model of photovoltaic panels under shadow shading is constructed to obtain the partial shadow conditions. The mathematical expressions of the surface heat and output current of the photovoltaic panel are verified by MATLAB/ Simulink simulation and temperature measurement. Build a UAV hotspot simulation detection platform, change the input current and detection height to obtain a thermal imaging map of the photovoltaic panel surface, establish a segmentation function that characterizes the pixel statistical value at different temperatures, and use the K-means clustering algorithm to build a feature value database, which will be used to locate the subsequent faulty photovoltaic panel. The experimental results show that the method has the controllability of the current on the surface temperature of the photovoltaic panel, the infrared thermal imaging feature library constructed by the piecewise function-K-means clustering hybrid algorithm can accurately represent the hotspot features.
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