A system calibration model for mobile PM2.5 sensing using low-cost sensors

Hao Min Liu, Hsuan Cho Wu, Hu Chen Lee, Yao Hua Ho, Ling Jyh Chen

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, we present a system calibration model (SCM) for mobile PM2.5 sensing systems using COTS low-cost particle sensors. To implement such systems, we first assess the accuracy of low-cost dust sensors and identify the most reliable sensor through a comprehensive set of evaluations. We also investigate the inner working principle of the selected sensor. By conducting a set of lab-scale controlled experiments, we obtained a logarithmic regression model that models the impacts of mobility and ambient wind velocity on PM2.5 sensing results. Moreover, using a low-cost water flow sensor, we design a customized micro anemometer and apply a linear regression model to convert the flow rate readings from the sensor to wind velocity values. Finally, we conduct a field experiment to evaluate the proposed calibration model in a real-world setting. The results show that the accuracy of the PM2.5 measurement results improves significantly when the model is utilized. The calibration model is simple and effective, and it can be utilized by other mobile sensing applications that facilitate micro-scale environmental sensing on the move.

原文英語
主出版物標題Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
編輯Geyong Min, Xiaolong Jin, Laurence T. Yang, Yulei Wu, Nektarios Georgalas, Ahmed Al-Dubi
發行者Institute of Electrical and Electronics Engineers Inc.
頁面611-618
頁數8
ISBN(電子)9781538630655
DOIs
出版狀態已發佈 - 2018 一月 30
事件Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 - Exeter, 英国
持續時間: 2017 六月 212017 六月 23

出版系列

名字Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
2018-January

其他

其他Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
國家英国
城市Exeter
期間2017/06/212017/06/23

ASJC Scopus subject areas

  • Hardware and Architecture
  • Renewable Energy, Sustainability and the Environment
  • Communication
  • Artificial Intelligence
  • Computer Networks and Communications

指紋 深入研究「A system calibration model for mobile PM2.5 sensing using low-cost sensors」主題。共同形成了獨特的指紋。

引用此