臺灣博碩士論文加值系統

近年來，空氣污染對人體造成嚴重危害，其懸浮微粒能長時間在大氣中滯留，能隨著呼吸進入體內，堆積在氣管或肺中，影響人體健康。目前大多數的環境空氣收集資料分為兩種方式，第一種是將感測站設置於固定位置，藉由無線或有線網路的方式將感測資料傳送至中央資料庫儲存。第二種為使用車載系統，偵查車行駛至該區域收集環境資料。但是這兩種收集資料的方式都屬於在同一平面上的感測資料，無法量測三維空間的數據。為了能準確分析出污染源所在位置，本論文將針對追蹤空氣污染源為目的進行無人機系統之設計。
本論文之無人機利用4G網路即時傳送飛行資訊和粉塵濃度值至地面監控站分析。當發現某區域疑似有空氣污染源時，立即指派雙無人機進行區域性的飛行巡邏偵測，依所得到的數據分析與判斷污染源所在位置並進入追蹤模式，雙機資訊有助於判斷污染擴散之高度並更快速的接近污染源，此系統能有效應用於天然及人為災變預警。

In recent years, air pollution has caused serious harm to the human body. Its suspended particles can stay in the atmosphere for a long time, enter the body with breathing, and accumulate in the trachea or lungs, affecting human health. At present, most of the ambient air collection data is divided into two methods. The first is to install the sensing station at a fixed location by Wireless or wired network will send the sensing data to the central database for storage. The second is to use the vehicle-mounted system, the investigation vehicle travels to the area, and collects the environmental data. However, these two methods of collecting data belong to sensing data on the same plane, and cannot measure data in three dimensions. In order to accurately analyze the location of the pollution source, this paper will design the UAV system for the purpose of tracking the air pollution source.
In this paper, the UAV uses 4G network to transmit flight information and dust concentration values to the ground monitoring station for analysis in real time. When it is found that there is a source of air pollution in a certain area, the dual drones are immediately assigned to conduct regional flight patrol detection. Based on the obtained data, the location of the pollution source is analyzed and judged to enter the tracking mode. The dual-machine information helps to determine the pollution spread. Close to the source of pollution at a higher and faster speed, this system can be effectively used for early warning of natural and man-made disasters.

摘要......i
英文摘要......ii
誌謝......iv
目錄......v
表目錄......viii
圖目錄......ix
符號說明......xii
第1章 緒論......1
1.1 前言......1
1.2 研究動機與目的......1
1.3 論文架構......2
第2章 文獻探討......4
2.1 懸浮粒子來源......4
2.2 污染物在大氣中的變化......5
2.3 懸浮微粒檢測方式......8
2.4 空污偵測無人機......9
第3章 系統情境與系統架構......12
3.1 系統情境......12
3.2 系統架構......13
第4章 空污偵測無人機系統......14
4.1 無人機之微電腦......15
4.2 感測器之微控制器......16
4.3 飛行控制器......18
4.4 RC通訊器......20
4.5 影像傳輸......22
4.6 GPS全球定位系統......23
4.7 六軸姿態感測器......24
4.8 電子羅盤......25
4.9 氣壓高度計......27
4.10 粉塵感測器......28
第5章 資料存取傳輸系統......30
5.1 網頁伺服器架設軟體......30
5.2 資料管理......31
5.3 網路資料庫......31
第6章 地面監控系統......33
6.1 資料擷取......33
6.2 航向指示計......34
6.3 姿態儀......35
6.4 電子地圖......36
6.5 空氣污染源追蹤定位......37
第7章 模擬測試與實測結果......42
7.1 模擬測試......42
7.2 地面監控系統測試......47
7.3 PM2.5濃度與距離測試......48
第8章 結論......50
參考文獻......51
Extended Abstract......53

[1]A. Koval, E. Irigoyen and T. Koval, "AR.Drone as a platform for measurements," 2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO), Kiev, 2017, pp. 424-427, doi: 10.1109/ELNANO.2017.7939812.
[2]J. Wivou, L. Udawatta, A. Alshehhi, E. Alzaabi, A. Albeloshi and S. Alfalasi, "Air quality monitoring for sustainable systems via drone based technology," 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), Galle, 2016, pp. 1-5, doi: 10.1109/ICIAFS.2016.7946542.
[3]BRUSCA, S., et al. Theoretical and experimental study of Gaussian Plume model in small scale system. Energy Procedia, 2016, 101: 58-65.
[4]JACOB, Daniel J.; WINNER, Darrell A. Effect of climate change on air quality. Atmospheric environment, 2009, 43.1: 51-63.
[5]SCHAUER, James J., et al. Source apportionment of airborne particulate matter using organic compounds as tracers. Atmospheric Environment, 1996, 30.22: 3837-3855.
[6]MILLER, Marvin E.; HOLZWORTH, George C. An atmospheric diffusion model for metropolitan areas. Journal of the Air Pollution Control Association, 1967, 17.1: 46-50.
[7]u-blox Singapore Pte. Ltd. "u-blox M8 concurrent GNSS modules Data sheet",2020.
[8]Copyright 2019 Raspberry Pi (Trading) Ltd. "All rights reserved. Raspberry Pi 4 Model B DATASHEET",2019。
[9]"Pixhawk® 4 Technical Data Sheet" ,2018。
[10]InvenSense Inc. " ICM‐20689 Datasheet", 2016.
[11]iSentek Technology. "IST8310 3D Magnetometer Sensor Datasheet",2015
[12]Measurement Specialties, Inc., a TE Connectivity company. "MS5611-01BA03", 2015.
[13]謝孟穎，「PM2.5空污偵測無人飛行器之開發與驗證」，國立虎尾科技大學自動化工程系碩士論文(2017年)。
[14]賴威帆，「應用氣流軌跡與大氣微粒成份解析粒狀物污染事件日特徵」，國立成功大學環境工程系碩士論文(2009年)。
[15]賈澤民。“無人飛航載具監測環境污染之功能”，航測及遙測學刊 第二十一卷 第3期 第163-182頁。民國105年11月。
[16]沈宗華。環境空氣品質懸浮微粒監測技術。行政院及所屬各機關出國報告。民國93年10月。
[17]北京攀藤科技有限公司。“PMS7003數據手冊”，2016。
[18]Microsoft Docs，DataSet Class(2020)。檢自https://docs.microsoft.com/zh-tw/dotnet/api/system.data.dataset?view=netframework-4.8 (Jul.2,2020)
[19]維基百科，MySQL(2020)。檢自https://zh.wikipedia.org/wiki/MySQL (Jul.6,2020)
[20]維基百科，phpMyAdmin(2020)。檢自https://zh.wikipedia.org/wiki/PhpMyAdmin (Jul.6,2020)
[21]Elvin Play，什麼是PWM,PPM,S-BUS？有什麼區别？(2016)，檢自 http://www.elvinplay.com/what-are-the-differences-of-pwm-ppm-sbus/#toc-4 (Jul.6,2020)
[22]XAMPP 網頁伺服器架站工具設定與使用教學(2015年)。檢自https://www.kjnotes.com/devtools/54 (Jul.6,2020)