Integrated IoT System for Automatic Dust Cleaning of Solar Panels

R. Balamurugan, A. A. Kumar, A. Kalaimaran, V. Sathish
{"title":"Integrated IoT System for Automatic Dust Cleaning of Solar Panels","authors":"R. Balamurugan, A. A. Kumar, A. Kalaimaran, V. Sathish","doi":"10.1109/ICAIS56108.2023.10073675","DOIUrl":null,"url":null,"abstract":"The most plentiful form of renewable energy is solar energy. Windstorms and constant soling significantly impair effectiveness. Consequently, it is crucial to clean the panel on a regular basis and properly. The majority of the components require hand cleaning. This kind of cleaning is inconsistent and might harm the workers' health. Solar panel cleaning systems that are permanently installed and fully automated with or without water can address this issue. It contains a brush to remove the dust and water/ chemical solution in addition to have gentle cleaning on the solar panels. In solar power plants, business buildings, and homes, the proposed technique may be installed directly onto the panels. This technique allows a multiple row cleaning. By eliminating any type of dust, this approach aims to boost the efficiency of solar panels. The proposed work comprises a cloud server powered by the internet of things (IoT) to enable online status tracking from anywhere in the world.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The most plentiful form of renewable energy is solar energy. Windstorms and constant soling significantly impair effectiveness. Consequently, it is crucial to clean the panel on a regular basis and properly. The majority of the components require hand cleaning. This kind of cleaning is inconsistent and might harm the workers' health. Solar panel cleaning systems that are permanently installed and fully automated with or without water can address this issue. It contains a brush to remove the dust and water/ chemical solution in addition to have gentle cleaning on the solar panels. In solar power plants, business buildings, and homes, the proposed technique may be installed directly onto the panels. This technique allows a multiple row cleaning. By eliminating any type of dust, this approach aims to boost the efficiency of solar panels. The proposed work comprises a cloud server powered by the internet of things (IoT) to enable online status tracking from anywhere in the world.
太阳能电池板自动除尘集成物联网系统
最丰富的可再生能源是太阳能。风暴和持续的溶蚀严重损害了有效性。因此,定期正确清洁面板是至关重要的。大多数部件需要手工清洗。这种清洁不一致,可能会损害工人的健康。永久安装和全自动的太阳能电池板清洁系统可以解决这个问题。除了对太阳能电池板进行温和的清洁外,它还包含一个刷子来清除灰尘和水/化学溶液。在太阳能发电厂、商业建筑和家庭中,建议的技术可以直接安装在面板上。这种技术允许进行多行清理。通过消除任何类型的灰尘,这种方法旨在提高太阳能电池板的效率。拟议的工作包括一个由物联网(IoT)驱动的云服务器,以便在世界任何地方进行在线状态跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信