研究生: |
趙冠庭 Chao, Kuan-Ting |
---|---|
論文名稱: |
物聯網輔助智能化無線氣體感測系統之研究 Study on IoT-aided intelligent wireless gas sensing system |
指導教授: |
陳俊達
Chen, Chun-Ta 鄧敦建 Teng, Tun-Chien |
學位類別: |
碩士 Master |
系所名稱: |
機電工程學系 Department of Mechatronic Engineering |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 83 |
中文關鍵詞: | 物聯網 、無線感測網路 、氣體感測 |
英文關鍵詞: | Internet of Things, Wireless Sensing Internet, Gas Sensing |
DOI URL: | https://doi.org/10.6345/NTNU202203894 |
論文種類: | 學術論文 |
相關次數: | 點閱:150 下載:0 |
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本論文主要目的是運用DSC系統(Devices Smartphone Central Processing System, DSC)建立物聯網環境下之無線氣體感測網路,使之成為具有可偵測並識別不明氣體之智能化移動無線氣體感測網路。文中探討無線遙控(Wireless remote control)自動分析和資料傳輸之動力取樣裝置(Isokinetic sampling equipment)技術,並利用可攜帶式裝置進行無線傳輸,達到遠端操控及傳輸之技巧。在微電路部分主要整合不同氣體感測器之感測電路及通訊介面、微控器(Microcontroller unit, MCU)與無線傳輸晶片的溝通技術、手持裝置之數據傳輸及監控技術以及聯網通訊介面設計之遠距控制等,以實現物聯網環境下無線感測網路輔助智能化氣體感測。本文顯示利用無線遙控及動力取樣資料傳輸的方法,可實現具無人化(Unmanned)無線傳輸功能之監測站及物聯網相關之軟硬體測試分析。
In this thesis, a wireless gas sensing network is established under the environment of the internet of things based on the device smartphone central processing system (DSC), such that it can serve as an intelligent mobile wireless measurement network for the detection and identification of unknown gases. Moreover, the wireless remote control for an automatic analysis and an isokinetic sampling equipment for the data transmission are discussed; thus, a mobile device is employed for the wireless transmission to achieve the remote manipulation and transmission. In the microcircuit, the sensing circuit and the communication interface for the different gas sensors are integrated to the microcontroller, wireless transmission chip, the handheld device for a data transmission, the monitoring technology and the communication interface to the network to fulfill the IoT-aided intelligent wireless gas sensing system. Finally, the experiments demonstrate that the designed wireless remote control and the power sampling data transmission technique can be used to implement an unmanned station with a wireless transmission function and the hardware/ software test analyses for the internet of things.
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