The Indoor VOC Air Pollution Diffusion Modeling and Source Tracking in Wireless Sensor Network

• Main Authors: Jen-Kai Chang, 張仁愷
• Other Authors: Yen-Wen Chen
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/48125722690005417325

碩士 === 國立中央大學 === 通訊工程學系 === 102 === Owing to the rising awareness of environment protection and the trend of global warming, more and more people increase awareness of air pollution. Because most of air quality monitoring stations set up in outdoor to monitor pollution and greenhouse gases of metropolitan area, that ignore the importance of indoor air quality (IAQ). However, damage and number of deaths of indoor air pollution are more than outdoors, but sensing device rarely for a long time monitoring. In this study, we focus on volatile organic compounds (VOC) for a long time monitoring in indoor environment. This study uses experimental data to establish indoor Gaussian diffusion model and proposes prediction method to track sources of VOC air pollution. From simulation results of indoor VOC air pollution diffusion and source tracking to verify our proposed method. This system builds on an open architecture for Arduino AVR(Microcontroller) as the main operational unit with ZigBee module (802.15.4) to transit and receive data in wireless sensor network (WSN). The sensing element uses a metal oxide semiconductor sensor element called TGS-2602 via ADC to get measured value.