Liang-Yu Chen, H. Huang, Cheng-Ju Wu, Yi-Ting Tsai, Yue-Shan Chang
{"title":"A LoRa-Based Air Quality Monitor on Unmanned Aerial Vehicle for Smart City","authors":"Liang-Yu Chen, H. Huang, Cheng-Ju Wu, Yi-Ting Tsai, Yue-Shan Chang","doi":"10.1109/ICSSE.2018.8519967","DOIUrl":null,"url":null,"abstract":"Air quality monitoring usually rely on statically deploying stationary monitors done by government. However, many air pollution emissions are irregular and uncertain. How to dynamically and effectively monitor air pollution emission will be an important issue for environmental protection. In this paper, we design a LoRa-based air quality monitor tied on Unmanned Aerial Vehicle. It can achieve two goals. The first is that the UAV can real-time send the sensed data back to server if it is flying to long-distance monitored target. The other is that the UAV can perform sensing task itself with minimal human intervention. We implement a prototype of LoRa-based air quality sensor on a UAV and a web-UI for user to configure the route of UAV and view the sensed data immediately. We believe that the prototype can be used easily to monitor the air quality with minimum human intervention.","PeriodicalId":431387,"journal":{"name":"2018 International Conference on System Science and Engineering (ICSSE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE.2018.8519967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33
Abstract
Air quality monitoring usually rely on statically deploying stationary monitors done by government. However, many air pollution emissions are irregular and uncertain. How to dynamically and effectively monitor air pollution emission will be an important issue for environmental protection. In this paper, we design a LoRa-based air quality monitor tied on Unmanned Aerial Vehicle. It can achieve two goals. The first is that the UAV can real-time send the sensed data back to server if it is flying to long-distance monitored target. The other is that the UAV can perform sensing task itself with minimal human intervention. We implement a prototype of LoRa-based air quality sensor on a UAV and a web-UI for user to configure the route of UAV and view the sensed data immediately. We believe that the prototype can be used easily to monitor the air quality with minimum human intervention.