臺灣博碩士論文加值系統

本論文主要目的為以樹莓派之邊緣運算打造一個傳統儀表辨識系統，並提供一個包含「即時監測」與「歷史資料查詢」兩個部分的網頁介面，方便使用者的即時監測與長期資料的掌控。
本論文透過高斯模糊、霍夫變換等影像處理技術，再配合一些演算法，可藉由判別儀表起終點為置及指針即時位置，得到檢測儀錶設備之壓力數值。接著透過程式將這些數值傳送置雲端進行保存。最後，經由python與網頁語言將可視化數據呈現在網頁端。

The main purpose of this paper is to build a traditional instrument identification system with the edge computing of the Raspberry Pi, and provide a web interface with two parts of "real-time monitoring" and "historical data query" to facilitate users' real-time monitoring and long-term data Take control.
　　 In this paper, through Gaussian blur, Hough transform and other image processing technologies, combined with some algorithms, the pressure value of the detection instrument can be obtained by identifying the starting and ending points of the instrument and the real-time position of the pointer. Then send these values to the cloud to save through the program. Finally, the visual data is presented on the webpage via python and webpage language.

第一章 緒論 6
1.1 研究背景與動機 6
1.2 研究目的 8
1.3 論文架構 9
第二章 系統架構與規劃 10
2.1 系統規劃 10
2.2 系統功能 11
2.3 系統架構 13
第三章 研究方法 17
3.1 硬體介紹 17
3.2 軟體介紹 20
3.3 OpenCV 24
3.4 霍夫變換 24
第四章 實驗結果 29
4.1 簡介與運行照片 29
4.2 網頁簡介 30
4.3 即時頁面 31
4.4 歷史資料頁面 35
4.5 通訊軟體警報 37
第五章 結論與未來展望 38
5.1 結論 38
5.2 未來展望 39
參考文獻 40

[1]Learning OpenCV By (author) Gary R. Bradski , By (author) Adrian Kaehler.
[2]https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_houghlines/py_houghlines.html
[3]Hands-On Image Processing with Python by Sandipan Dey.
[4]https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.html
[5]https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.html
[6]https://zh.wikipedia.org/wiki/MongoDB
[7]https://docs.opencv.org/master/d7/d4d/tutorial_py_thresholding.html
[8]https://zh.wikipedia.org/wiki/Wikipedia:%E9%A6%96%E9%A1%B5
[9]Xin Yang, and ShuHua Ma, “An Automatic Reading Recognition Method for Pointer Spring Tube Pressure Instrument,” IEEE Conference, 3-5 June 2019, Nanchang, China, China
[10]Jiannan Chi,1,2 Lei Liu,1Jiwei Liu,3Zhaoxuan Jiang,1and Guosheng Zhang, “Machine Vision Based Automatic Detection Method ofIndicating Values of a Pointer Gauge,” Volume 2015, Article ID 283629
[11]Beichen Li, Jingyu Yang, Xinyang Zeng, Huanjing Yue, Wei Xiang, “Automatic Gauge Detection via Geometric Fitting for Safety Inspection,” IEEE Access vol.7, 26 June 2019
[12]Hai-ping Feng, Jun Zhao, “Application Research of Computer Vision in the Auto-Calibration of Dial Gauges,” IEEE 2008 International Conference on Computer Science and Software Engineering, 12-14 Dec. 2008