Wireless sensing system for prediction indoor air quality

Tsang Chu Yu*, Chung Chih Lin, Ren Guey Lee, Chao Heng Tseng, Shi Ping Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In recent years, increased awareness of health issues and environmental protection, and the introduction of regulations regarding air quality, have created a demand for air quality monitoring technology. By combining wireless sensing technology and the ARIMA prediction model, an intelligent air quality monitoring system was constructed, which uses the ARIMA model to predict the carbon dioxide trend, thus providing capabilities beyond just monitoring. Experimental results show advantages of the proposed system; the prediction model, when historical data was collected at fifty-minute intervals, had a maximum error rate of 7.18% and a minimum error rate of 0.06%, showing promise for predicting future trends.

Original languageEnglish
Title of host publication2012 4th International High Speed Intelligent Communication Forum, HSIC 2012, Proceeding
Pages103-105
Number of pages3
DOIs
StatePublished - 2012
Event2012 4th International High Speed Intelligent Communication Forum, HSIC 2012 - Nanjing, China
Duration: 10 05 201211 05 2012

Publication series

Name2012 4th International High Speed Intelligent Communication Forum, HSIC 2012, Proceeding

Conference

Conference2012 4th International High Speed Intelligent Communication Forum, HSIC 2012
Country/TerritoryChina
CityNanjing
Period10/05/1211/05/12

Keywords

  • ARIMA
  • Indoor Air Quality
  • Prediction
  • Wireless sensor networks

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