Soiling Detection for Photovoltaic Modules Based on an Intelligent Method with Image Processing

被引：6

作者：

Hwang, Po Ching ^{[1
,2
]}

Ku, Cooper Cheng-Yuan ^{[1
]}

Chan, James Chi-Chang ^{[2
]}

机构：

[1] Natl Chiao Tung Univ, Inst Informat Management, Hsinchu, Taiwan

[2] Ind Technol Res Inst, Hsinchu, Taiwan

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN) | 2020年

关键词：

D O I：

10.1109/icce-taiwan49838.2020.9258175

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The solar energy has grown significantly worldwide over the past few years. Therefore, maintenance of photovoltaic (PV) modules becomes a very important issue. In order to reduce the power loss caused by soiling deposits on the surface of PV modules, we propose an intelligent method to detect soiling situation using the techniques of artificial intelligence (AI) and image processing. This approach can assist operators in determining the schedule of cleaning plan for PV modules, thus reduces the labor and time cost of maintenance of solar plants.

引用

页数：2

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