Wireless Sensing System for Prediction Indoor Air Quality

摘要：

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.

关键词： Wireless sensor networks Indoor Air Quality ARIMA Prediction

作者: Tsang-Chu Yu Chung-Chih Lin Ren-Guey Lee Chao-Heng Tseng Shi-Ping Liu

作者单位: Department of Computer Science and Information Engineering, Healthy Aging Research Center, Chang Gun Department of Electronic Engineering & Graduate Institute of Computer and Communication Engineering, Institute of Environmental Engineering and Management, National Taipei University of Technology , Ta Department of Public Health, Fu Jen University, Taipei, Taiwan, R.O.C.

会议类型: 国际会议

会议名称: 2012 4th International High Speed Intelligent Communication Forum(2012年国际高速智能通信论坛 HSIC2012)

会议地点: 南京

会议语种:英文

页码: 103-105

在线出版日期: 2012-05-17（万方平台首次上网日期，不代表论文的发表时间）