Mobile Pollution Data Sensing Using UAVs

Óscar Alvear, C. Calafate, Enrique Hernández-Orallo, Juan-Carlos Cano, P. Manzoni
{"title":"Mobile Pollution Data Sensing Using UAVs","authors":"Óscar Alvear, C. Calafate, Enrique Hernández-Orallo, Juan-Carlos Cano, P. Manzoni","doi":"10.1145/2837126.2843842","DOIUrl":null,"url":null,"abstract":"Nowadays, the impact of global warming is causing societies to become more aware and responsive to environmental problems. As a result, pollution sensing is gaining more relevance. In order to have a strict control over air quality, the use of mobile sensors is becoming a promising alternative to traditional air quality stations. Mobile sensors allow to easily perform measurements in many different places, thereby offering substantial improvements in terms of the spatial granularity of the data gathered. Pollution monitoring near large industrial areas or in rural areas where transportation facilities are poor or inexistent can complicate the mobile sensing approach. To address this problem, in this paper we propose endowing Unmanned Aerial Vehicles (UAVs) with pollution sensors, allowing them to become autonomous air monitoring stations. The proposed solution has the potential to quickly cover a target region at a low cost, and providing great flexibility.","PeriodicalId":268141,"journal":{"name":"Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2837126.2843842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

Abstract

Nowadays, the impact of global warming is causing societies to become more aware and responsive to environmental problems. As a result, pollution sensing is gaining more relevance. In order to have a strict control over air quality, the use of mobile sensors is becoming a promising alternative to traditional air quality stations. Mobile sensors allow to easily perform measurements in many different places, thereby offering substantial improvements in terms of the spatial granularity of the data gathered. Pollution monitoring near large industrial areas or in rural areas where transportation facilities are poor or inexistent can complicate the mobile sensing approach. To address this problem, in this paper we propose endowing Unmanned Aerial Vehicles (UAVs) with pollution sensors, allowing them to become autonomous air monitoring stations. The proposed solution has the potential to quickly cover a target region at a low cost, and providing great flexibility.
使用无人机的移动污染数据传感
如今,全球变暖的影响使社会对环境问题变得更加敏感和敏感。因此,污染传感正变得越来越重要。为了严格控制空气质量,使用移动传感器正成为传统空气质量监测站的一个有前途的替代方案。移动传感器可以轻松地在许多不同的地方进行测量,从而在收集数据的空间粒度方面提供了实质性的改进。大型工业区附近或交通设施差或不存在的农村地区的污染监测可能使移动传感方法复杂化。为了解决这个问题,在本文中,我们建议赋予无人驾驶飞行器(uav)污染传感器,使它们成为自主空气监测站。所提出的解决方案具有以低成本快速覆盖目标区域的潜力,并且提供了很大的灵活性。
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:604180095
Book学术官方微信
小红书