A Mobile Robot for Hazardous Gas Sensing

Tanaya Das, Dhruba Jyoti Sut, Vishal Gupta, Lakhyajit Gohain, Priyanka Kakoty, N. M. Kakoty
{"title":"A Mobile Robot for Hazardous Gas Sensing","authors":"Tanaya Das, Dhruba Jyoti Sut, Vishal Gupta, Lakhyajit Gohain, Priyanka Kakoty, N. M. Kakoty","doi":"10.1109/ComPE49325.2020.9200082","DOIUrl":null,"url":null,"abstract":"This paper reports development of a robot that can sense the presence of hazardous gases in the environment. The robot aims at detection of hazardous gases and mapping global positioning system (GPS) locations of the detected gases to the navigation terrain in real-time. These information was transmitted to a hand-held device in a remote location for exploration of gas types, which holds promise for disaster management. The robot was equipped with a module of gas sensors, human detection sensor, GPS module and obstacle detection sensors in a coherent system. While navigating with collision avoidance to obstacles, the robot can transmit information about the presence of hazardous gases and human being in the area of navigation. It was tested in an uneven terrain to recognize the presence of hazardous gases like carbon dioxide, liquefied petroleum gas, vaporized alcohol gas vis-a-vis ambient gases in real-time. A ´ neural network-based classifier was implemented to recognize the gases with an average accuracy of 98%.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"32 1","pages":"062-066"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE49325.2020.9200082","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper reports development of a robot that can sense the presence of hazardous gases in the environment. The robot aims at detection of hazardous gases and mapping global positioning system (GPS) locations of the detected gases to the navigation terrain in real-time. These information was transmitted to a hand-held device in a remote location for exploration of gas types, which holds promise for disaster management. The robot was equipped with a module of gas sensors, human detection sensor, GPS module and obstacle detection sensors in a coherent system. While navigating with collision avoidance to obstacles, the robot can transmit information about the presence of hazardous gases and human being in the area of navigation. It was tested in an uneven terrain to recognize the presence of hazardous gases like carbon dioxide, liquefied petroleum gas, vaporized alcohol gas vis-a-vis ambient gases in real-time. A ´ neural network-based classifier was implemented to recognize the gases with an average accuracy of 98%.
一种用于危险气体传感的移动机器人
本文报道了一种能够感知环境中有害气体存在的机器人的开发。该机器人旨在检测有害气体,并将检测到的气体的全球定位系统(GPS)位置实时映射到导航地形上。这些信息被传输到偏远地区的手持设备上,用于勘探天然气类型,这有望用于灾害管理。该机器人由气体传感器模块、人体检测传感器模块、GPS模块和障碍物检测传感器组成一个相干系统。在避免碰撞障碍物的导航过程中,机器人可以传递有关导航区域内危险气体和人类存在的信息。它在不平坦的地形上进行了测试,以实时识别二氧化碳、液化石油气、汽化酒精气体等有害气体与环境气体的存在。实现了基于神经网络的分类器,以98%的平均准确率识别气体。
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