臺灣博碩士論文加值系統

無人飛行載具的發展已經相當成熟並且應用在很多不同的領域，在進行任務時無人飛行載具都會搭配一個地面監控站進行飛行資訊的傳輸，在傳統的系統上，飛行資訊只能進行一對一的傳送。為了分享飛行資訊，Android系統的智慧型手機能夠取代傳統的感測器，並利用3G通訊進行的傳輸。伺服器利用MySQL來管理並儲存從智慧型手機上所傳輸的感測器資訊，並將其轉換為飛行資訊。使用Google Maps和Google Earth來即時呈現無人飛行載具的位置、高度和姿態。無人載具雲端監控系統可以分享飛行資訊給所有飛行團隊的成員，團隊成員都可以藉由網路瀏覽器來監控無人飛行載具的飛行狀況。換句話說，團隊成員只要一般的電腦並打開瀏覽器即可查閱飛行資訊，並不需要特定的監視軟體。

The unmanned aerial vehicles (UAV) are usually used as Surveillance system for air watch and data acquisition. The traditional system UAV data acquisition system obtains flight information by discrete configuration just one by one. To share flight information, the Android smart phone system is selected instead of the traditional sensors and data acquisition by 3G communication. The web server offers MySQL database management for all sensors data and converts into flight information. Google Maps and Google Earth display clearly flight information including location, altitude and attitude in real time. The UAV cloud surveillance system can share flight information to all team members by browser. In other words, team members just need a normal computer and start the browser that they can see the flight information without specific surveillance software.

ABSTRACT i
摘 要 ii
誌 謝 iii
CONTENTS iv
LIST OF FIGURES vii
LIST OF TABLES x
Chapter 1 1
Introduction 1
1.1 Motivation 1
1.2 Main Idea 2
1.3 Literature Survey 3
1.4 Thesis Overview 4
Chapter 2 5
Technical Background 5
2.1 Technical Background 5
2.2 Smart Phone System Selections 5
2.3 Network Transmission 6
2.4 Web Interface 6
2.5 Choice of Database 7
2.6 The Proposed Cloud System 8
Chapter 3 9
System Configuration 9
3.1 System Architecture 9
3.2 Set-up of Appserv 11
3.3 Structure of MySQL Database 13
3.4 Android Application Programming 17
3.5 AJAX Technology 22
3.6 Google Maps 24
3.7 Google Earth 27
Chapter 4 30
Experiment and Verification 30
4.1 Set-up of Android Smartphone and Application 30
4.2 Store Sensors Data in MySQL Database 33
4.3 Display Sensors Data by Browser 36
4.4 Google Maps and Google Earth 38
4.5 Application of ultralight aircraft 41
4.6 Display Multi-target Surveillance 44
4.7 Historical Flight Replay 45
Chapter 5 47
Conclusion 47
5.1 Conclusion 47
5.2 Perspective Improvement 49
REFERENCES 51

[1]Sharma, V., Gusain, P., Kumar, P. “Near field Communication. In Proceedings of the Conference on Advances in Communication and Control Systems-2013. Atlantis Press.
[2]Marshall, A., Medvedev, O., Antonov, A. “Use of a smartphone for improved self-management of pulmonary rehabilitation. International journal of telemedicine and applications, 2008, No.2.
[3]Araújo, R., Igreja, A., de Castro, R., Araujo, R. E. “Driving coach: A smartphone application to evaluate driving efficient patterns. 2012 IEEE International Conference on Intelligent Vehicles Symposium (IV), pp. 1005-1010.
[4]Yi, W. J., Jia, W., Saniie, J. “Mobile Sensor Data Collector using Android Smartphone, IEEE 55th International Midwest Symposium on Circuits and Systems (MWSCAS), 2012, pp. 956-959.
[5]Ookura, H., Yamamoto, H., Yamazaki, K. “Development and Evaluation of Walking Path Estimation System using Sensors of Android Device and Vector Map Matching. IEEE International Conference on Information Networking (ICOIN), 2012, pp. 25-29.
[6]Lin, J. Y., Yang, B. K., Do, T. A., Chen, H. C. “The Accuracy Enhancement of GPS Track in Google Map. IEEE Eighth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013, pp. 524-527.
[7]Li, H., Zhijian, L. “The Study and Implementation of Mobile GPS Navigation System Based on Google Maps. IEEE International Conference on Computer and Information Application (ICCIA), 2010, pp. 87-90.
[8]Wu, Y. J., Wang, Y., Qian, D. “A Google-map-based Arterial Traffic Information System. IEEE International Conference on Intelligent Transportation Systems Conference, 2007, pp. 968-973.
[9]Chan, Y., Mori, M. “Web-based flood monitoring system using Google Earth and 3D GIS. IEEE International Conference on Geoscience and Remote Sensing Symposium (IGARSS), 2011, pp. 1902-1905.
[10]Lin, C. E., Li, C. R., Lai, Y. H. “UAS Cloud Surveillance System, Journal of Aeronautics, Astronautics and Aviation, Series A, Vol. 44, No. 4, 2012, pp.231-240
[11]Sun, E., Nieto, A., Li, Z. “Real-time Google Earth 3D Assisted Driving System in Surface Mining Operations. IEEE 10th International Conference on Computer-Aided Industrial Design ＆ Conceptual Design, 2009, pp. 2095-2099.
[12]“MySQL, available from website: http://www.mysql.com/, 2014.
[13]“Google Map API, available from website: https://developers.google.com/maps/?hl=zh-TW, 2014.
[14]“Google Earth API, available from website: https://developers.google.com/earth/, 2014.
[15]“W3School Online Web Tutorials, available from website: http://www.w3schools.com/, 2014.
[16]“AppServ Open Project, available from website: http://www.appservnetwork.com/, 2014.