An Intelligent Wireless Sensing and Control System to Improve Indoor Air Quality: Monitoring, Prediction, and Preaction

Tsang Chu Yu, Chung Chih Lin*

*此作品的通信作者

研究成果: 期刊稿件文章同行評審

47 引文 斯高帕斯(Scopus)

摘要

The aim of this study is to construct an intelligent wireless sensing and control system to address health issues. We combine three technologies including (1) wireless sensing technology to develop an extendable system for monitoring environmental indicators such as temperature, humidity and CO2 concentration, (2) ARIMA (autoregressive integrated moving average) to predict air quality trends and take action before air quality worsens, and (3) fuzzy theory which is applied to build an energy-saving mechanism for feedback control. Experimental results show the following. (1) A longer historical data collected time interval will reduce the effects of abnormal surges on prediction results. We find the ARIMA prediction model accuracy improving from 3.19 ± 3.47% for a time interval of 10 minutes to 1.71 ± 1.45% for a time interval of 50 minutes. (2) The stability experiment shows that the error rate of prediction model is also less than 7.5%. (3) In the energy-saving experiment, fuzzy logic-based decision model can reduce the 55% energy while maintaining adequate air quality.

原文英語
文章編號140978
期刊International Journal of Distributed Sensor Networks
2015
DOIs
出版狀態已出版 - 2015

文獻附註

Publisher Copyright:
© 2015 Tsang-Chu Yu and Chung-Chih Lin.

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