Solar Powered Unmanned Cleaning Robot

Author:

P. Ravikumar, ,K Abirami,R. Anushiya,M. Elakkiya,R. Harshidha P., , , ,

Abstract

Today, households are becoming smarter and automated. Soon, the non-renewable sources that are used today are going to get exhausted. So, the usage of renewable source of energy is very important. The aim of this project is to develop solar powered unmanned cleaning robot (SPUCR) without human guidance. The developed SPUCR is equipped with dry cleaning technology and controlled by Arduino mega microcontroller. The SPUCR navigates in all direction with the help of motors connected to the wheel. Obstacle sensor is used to detect the obstacles and helps the SPUCR in self-navigation. The LDR fixed with solar panel is used for sensing the solar light and convert it to battery voltage. The status of the battery is displayed using LCD. The IR sensor detects the Vacuum Cleaner status and sends the message via GSM. The location of SPUCR can be found using GPS. All the data are sent to the cloud with the help of WI-FI module. The technology is developed, and usage of smart phone has become wider. So, the navigation, location, battery level and light intensity of the Solar Powered Unmanned Cleaning Robot (SPUCR) can be monitored using the data stored in the cloud and displayed in android app application. The developed project is useful for dry cleaning by the residents and workers. The robot moves by itself without continuous human guidance and cleans the house or office. Thus, saving a lot of time and making it convenient and useful.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Computer Science Applications,General Engineering,Environmental Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Sensing Cleaner;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3