Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3131672.3136998acmconferencesArticle/Chapter ViewAbstractPublication PagessensysConference Proceedingsconference-collections
short-paper

Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System

Published: 06 November 2017 Publication History

Abstract

Low-cost sensors are widely used to realize large-scale deployment for sensing systems. In this paper, we discuss challenges in using industrial-grade gas sensors for air quality monitoring. To overcome variation due to system errors, we present a framework for individualized calibration. Within the framework, multiple regression and interpolation methods are prepared for alternative optimization on fitting sensors' response to gas concentration.

References

[1]
MEP China. 2012. Ambient air quality standards. GB 3095-2012. China Environmental Science Press, Beijing (2012).
[2]
M. I. Mead, O. A. M. Popoola, G. B. Stewart, P. Landshoff, M. Calleja, M. Hayes, J. J. Baldovi, M. W. Mcleod, T. F. Hodgson, and J. Dicks. 2013. The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmospheric Environment 70, 2 (2013), 186--203.
[3]
A Velasco, R Ferrero, F Gandino, B Montrucchio, and M Rebaudengo. 2016. A Mobile and Low-Cost System for Environmental Monitoring: A Case Study. Sensors 16, 5 (2016), 710.

Cited By

View all
  • (2024)Poster: Olfactory Sensing in Turbulent Airflow via Collaborative RobotsProceedings of the 25th International Workshop on Mobile Computing Systems and Applications10.1145/3638550.3643049(135-135)Online publication date: 28-Feb-2024
  • (2024)IoT based Intelligent Systems for Vehicle2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)10.1109/IDCIoT59759.2024.10467841(138-143)Online publication date: 4-Jan-2024
  • (2023)CaliFormer: Leveraging Unlabeled Measurements to Calibrate Sensors with Self-supervised LearningAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3612917(743-748)Online publication date: 8-Oct-2023
  • Show More Cited By

Index Terms

  1. Individualized Calibration of Industrial-Grade Gas Sensors in Air Quality Sensing System

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SenSys '17: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems
    November 2017
    490 pages
    ISBN:9781450354592
    DOI:10.1145/3131672
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 November 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Gas Sensors
    2. Individualized Calibration
    3. System Error

    Qualifiers

    • Short-paper
    • Research
    • Refereed limited

    Conference

    Acceptance Rates

    Overall Acceptance Rate 198 of 990 submissions, 20%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 25 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Poster: Olfactory Sensing in Turbulent Airflow via Collaborative RobotsProceedings of the 25th International Workshop on Mobile Computing Systems and Applications10.1145/3638550.3643049(135-135)Online publication date: 28-Feb-2024
    • (2024)IoT based Intelligent Systems for Vehicle2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)10.1109/IDCIoT59759.2024.10467841(138-143)Online publication date: 4-Jan-2024
    • (2023)CaliFormer: Leveraging Unlabeled Measurements to Calibrate Sensors with Self-supervised LearningAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3612917(743-748)Online publication date: 8-Oct-2023
    • (2023)Field Reconstruction-Based Non-Rendezvous Calibration for Low Cost Mobile SensorsAdjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing10.1145/3594739.3612908(688-693)Online publication date: 8-Oct-2023
    • (2022)A Fast Calibration Method for Sensors of Atmospheric Detection SystemApplied Sciences10.3390/app12221173312:22(11733)Online publication date: 18-Nov-2022
    • (2022)C-RIDGEProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3567769(1077-1082)Online publication date: 6-Nov-2022
    • (2022)ST-ICMProceedings of the 28th Annual International Conference on Mobile Computing And Networking10.1145/3495243.3558280(910-912)Online publication date: 14-Oct-2022
    • (2022)Adaptive Hybrid Model-Enabled Sensing System (HMSS) for Mobile Fine-Grained Air Pollution EstimationIEEE Transactions on Mobile Computing10.1109/TMC.2020.303427021:6(1927-1944)Online publication date: 1-Jun-2022
    • (2022)Detecting anomalies within smart buildings using do-it-yourself internet of thingsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-04376-w14:5(4727-4743)Online publication date: 24-Sep-2022
    • (2020)PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile CrowdsensingIEEE Internet of Things Journal10.1109/JIOT.2020.29683757:5(3719-3734)Online publication date: May-2020

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media