Estimasi Arah Robot Pembersih Panel surya Menggunakan Algoritma Line Detection Klasik

Sapto Wibowo, Rula Athifah, Indrazno Siradjuddin, R. Putri
{"title":"Estimasi Arah Robot Pembersih Panel surya Menggunakan Algoritma Line Detection Klasik","authors":"Sapto Wibowo, Rula Athifah, Indrazno Siradjuddin, R. Putri","doi":"10.33795/elposys.v11i1.4965","DOIUrl":null,"url":null,"abstract":"Currently, solar panels are widely used in homes, offices, and buildings. Solar energy is converted into electrical energy by solar panels. The surface of solar panels determines how efficient they are; if the surface is dirty, the efficiency of solar panels will decrease. Therefore, they must be cleaned to maintain their effectiveness. Cleaning solar panels is one of the tasks that can be performed by an autonomous robot, which can move without the need for human control or remote control usage. To make the robot move autonomously, a camera is used to capture images of solar panels so that the robot can move on its own. The images captured by the camera will then be processed using a classic line detection algorithm (Hough line transform) to estimate the direction, in the form of the angle (theta), of the robot relative to the solar panel based on the lines detected by the algorithm. The direction of the robot relative to the solar panel determines the robot's future movement. The algorithm used (Hough line transform) has been able to estimate the direction of the robot quite well with a relatively fast processing time. Thus, it can be concluded that this research successfully determines the direction based on the available images","PeriodicalId":476257,"journal":{"name":"Elposys: Jurnal Sistem Kelistrikan","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elposys: Jurnal Sistem Kelistrikan","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.33795/elposys.v11i1.4965","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

Currently, solar panels are widely used in homes, offices, and buildings. Solar energy is converted into electrical energy by solar panels. The surface of solar panels determines how efficient they are; if the surface is dirty, the efficiency of solar panels will decrease. Therefore, they must be cleaned to maintain their effectiveness. Cleaning solar panels is one of the tasks that can be performed by an autonomous robot, which can move without the need for human control or remote control usage. To make the robot move autonomously, a camera is used to capture images of solar panels so that the robot can move on its own. The images captured by the camera will then be processed using a classic line detection algorithm (Hough line transform) to estimate the direction, in the form of the angle (theta), of the robot relative to the solar panel based on the lines detected by the algorithm. The direction of the robot relative to the solar panel determines the robot's future movement. The algorithm used (Hough line transform) has been able to estimate the direction of the robot quite well with a relatively fast processing time. Thus, it can be concluded that this research successfully determines the direction based on the available images
使用经典线路检测算法估计太阳能电池板清洁机器人的方向
目前,太阳能电池板被广泛应用于家庭、办公室和建筑物。太阳能通过太阳能电池板转化为电能。太阳能电池板的表面决定了其效率的高低;如果表面脏了,太阳能电池板的效率就会降低。因此,必须对其进行清洁,以保持其效率。清洁太阳能电池板是自主机器人可以完成的任务之一,这种机器人可以在无需人为控制或使用遥控器的情况下移动。为了让机器人自主移动,需要使用摄像头捕捉太阳能电池板的图像,这样机器人就能自主移动。然后,使用经典的线检测算法(Hough 线变换)处理摄像头捕捉到的图像,根据算法检测到的线,以角度(θ)的形式估算机器人相对于太阳能电池板的方向。机器人相对于太阳能电池板的方向决定了机器人未来的移动。所使用的算法(Hough 线变换)能够很好地估算出机器人的方向,而且处理时间相对较短。因此,可以得出结论,这项研究成功地根据现有图像确定了方向。
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