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Copyright © 2022 Liang Zhao et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Absztrakt

In recent years, more and more occupants have suffered from respiratory illness due to poor indoor air quality (IAQ). In order to address this issue, this paper presents a method to achieve efficient monitoring and adaptive control of IAQ. Firstly, an indoor air quality monitoring and control system (IAQMCS) is developed using IoT technology. Then, based on fuzzy inference, a novel fuzzy air quality index (FAQI) model is proposed to effectively assess IAQ. Furthermore, a simple adaptive control mechanism, called SACM, is designed to automatically control the IAQMCS according to a real-time FAQI value. Finally, extensive experiments are performed by comparing with regular control (time-based control), which show that our proposed method effectively measures various air parameters (CO2, VOC, HCHO, PM2.5, PM10, etc.) and has good performance in terms of evaluation accuracy, average FAQI value, and overall IAQ.

Részletek

Cím
Efficient Monitoring and Adaptive Control of Indoor Air Quality Based on IoT Technology and Fuzzy Inference
Szerző
Zhao, Liang 1   VIAFID ORCID logó  ; Zhou, Huan 1   VIAFID ORCID logó  ; Chen, Rui 1 ; Shen, Zhaoyang 2 

 College of Computer and Information Technology, China Three Gorges University, Hubei, Yichang 443002, China; Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Hubei, Yichang 443002, China 
 College of Computer and Information Technology, China Three Gorges University, Hubei, Yichang 443002, China 
Szerkesztő
Fuliang Li
Publikáció éve
2022
Publikáció dátuma
2022
Kiadó
John Wiley & Sons, Inc.
e-ISSN
15308677
Forrástípus
Tudományos folyóirat
Publikáció nyelve
English
ProQuest dokumentumazonosító
2722970530
Copyright
Copyright © 2022 Liang Zhao et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.