Low-cost, multimodal environmental monitoring based on the Internet of Things

Graham Coulby, Adrian Clear, Oliver Jones, Alan Godfrey*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)
206 Downloads (Pure)

Abstract

Monitoring Indoor Environmental Quality (IEQ) is of growing interest for health and wellbeing. New building standards, climate targets and adoption of homeworking strategies are creating needs for scalable, monitoring solutions with onward Cloud connectivity. Low-cost Micro-Electromechanical Systems (MEMS) sensors have potential to address these needs, enabling development of bespoke multimodal devices. Here, we present insights into the development of a MEMS-based Internet of things (IoT) enabled multimodal device for IEQ monitoring. A study was conducted to establish the inter-device variability and validity to reference standard sensors/devices. For the multimodal, IEQ monitor, intraclass correlations and Bland-Altman analyses indicated good inter-sensor reliability and good-to-excellent agreement for most sensors. All low-cost sensors were found to respond to environmental changes. Many sensors reported low accuracy but high precision meaning they could be calibrated against reference sensors to increase accuracy. The multimodal device developed here was identified as being fit-for-purpose, providing general indicators of environmental changes for continuous IEQ monitoring.
Original languageEnglish
Article number108014
Number of pages13
JournalBuilding and Environment
Volume203
Early online date31 May 2021
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Building Performance
  • Internet of Things (IoT)
  • Multimodal
  • Sensor Fusion
  • Indoor Environmental Quality (IEQ)
  • Building performance
  • Sensor fusion

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