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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65541


    Title: 在無線感測網路之室內VOC氣體擴散塑模及其污染來源追蹤;The Indoor VOC Air Pollution Diffusion Modeling and Source Tracking in Wireless Sensor Network
    Authors: 張仁愷;Chang,Jen-Kai
    Contributors: 通訊工程學系
    Keywords: 揮發性有機化合物氣體;無線感測網路;ZigBee;高斯擴散模型;Volatile Organic Compounds;Wireless Sensor Network;ZigBee;Gaussian diffusion model
    Date: 2014-08-19
    Issue Date: 2014-10-15 17:03:14 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 環保意識日漸抬頭,全球暖化的議題逐漸升溫,人們對於空氣汙染意識不斷增加,大多數的監測站都設置於戶外,僅對大都會地域進行汙染源及溫室氣體監測,而忽略室內空氣品質(IAQ, Indoor Air Quality)之重要性,且室內空氣汙染造成傷害及死亡較室外嚴重,卻鮮少具可行性之感測裝置進行長時間監測。
    本論文針對室內環境之揮發性有機化合物(VOC, Volatile Organic Compounds)氣體進行長時間監測,並用實驗量測數據建立室內高斯擴散模型,提出汙染來源追蹤預測方法,最後將室內高斯擴散模型用模擬的方式模擬室內VOC氣體汙染擴散,進行汙染來源追蹤,驗證我們提出的方法。
    本系統以無線感測網路(WSN, Wireless Sensor Networks)建置,感測節點使用開放性架構之Arduino AVR (Microcontroller)為主要運算單元,搭配ZigBee (802.15.4)模組進行資料傳遞送收,感測元件使用金屬氧化半導體感測元件TGS-2602,透過ADC讀取量測值。
    ;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.
    Appears in Collections:[通訊工程研究所] 博碩士論文

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