臺灣博碩士論文加值系統

本論文旨在研製「具車位導引功能之電子商務式智慧停車場管理系統」，將在學研究期間，擔任國家能源型科技計畫兼任助理期間內所學之物聯網及其相關技術實際應用於此管理系統中。本系統中，主要利用智慧型手機的應用程式，以NFC近場通訊[1][2][3][4]與Wi-Fi等方式將消費者資料傳送至管理系統，使管理系統透過使用者回傳之各項資訊至資料庫[5]中進行資料比對、資料修改或是資料更新等工作，並以樹梅派[6][7]或是Arduino來進行停車場之車位管理功能或相關硬體設備的控制模擬，如:進出場柵欄控制、停車位車輛占用偵測等。本論文內容包含手機應用程式、停車位偵測模擬、店家消費金額更新模擬、進出停車場模擬。另外，由於當前市售之Android手機並非所有機種都擁有NFC功能，且使用IOS系統之裝置雖有NFC的功能，卻並未開放利用權限給撰寫IOS程式的開發者進行功能開發。為此，本文額外開發透過掃描QR Code的方式來協助無法使用NFC功能之智慧型手機，讓使用對象不受手機功能所侷限而無法使用本系統。

The purpose of this thesis is to develop an "e-commerce smart parking lot management system with parking space guidance function", which will be applied to the Internet of Things and related technologies that were studied during the period of being the assistant in the National Energy Science and Technology Program. In this system, the application of the smart phone is mainly used to transmit the consumer data to the management system by NFC near-field communication[1][2][3][4] and Wi-Fi, so that the management system can carry out the data through the information database[5] returned by the user to do data comparison, data modification or data update, and use the Raspberry Pi[6][7] or Arduino to operate the parking space management function of the parking lot or the control simulation of related hardware devices, such as: entry and exit fence control parking space occupancy detection. The content of this thesis includes mobile phone application, parking space detection simulation, store consumption amount update simulation, and entrance and exit parking simulation. In addition, since not all models of the currently commercially available Android phones have NFC functions, and the devices using the IOS system have NFC functions, they have not opened up the use rights to develop functions for developers who write IOS programs. Thus, this thesis additionally develops a way to assist the smart phone that cannot use NFC function by scanning the QR Code, so that the user can use the system without being restricted by the function of the mobile phone.

摘要.............i
ABSTRACT........ii
誌謝............iii
目錄.............iv
圖目錄...........vi
壹、緒論.........1
一、研究背景.....1
二、研究目的.....2
三、內容大綱.....3
貳、停車場系統架構簡介....5
一、停車場系統架構.......5
二、Arduino UNO介紹.....9
（一）Arduino UNO......9
（二）ATmega328P.......11
（三）Arduino IDE......12
三、NFC模組介紹 (Adafruit NFC shield)....14
四、超音波模組介紹 (HC-SR04)..............15
五、壓力感測模組介紹 (Interlink 402)......18
六、Wi-Fi開發板 (Wemos d1 mini)..........19
七、Android Studio......................21
八、Visual Studio（C#）.................23
參、通訊模式與流程架構...................25
一、入場架構............................25
二、消費架構............................27
三、行動支付架構........................29
四、繳費機架構..........................30
五、離場倒數架構........................31
六、離場架構............................32
七、通訊模式............................33
（一） NFC.............................33
（二）Wi-Fi............................34
（三）Arduino 程式碼....................36
（四）PHP 程式碼........................37
（五）C# 程式碼.........................39
肆、實驗結果............................41
一、APP介面............................42
（一）登入頁面............................42
（二）註冊頁面............................43
（三）主畫面..............................44
（四）入場地圖............................45
（五）繳費頁面............................46
（六）離場地圖............................47
（七）商家消費折抵停車費用介面.............48
（八）繳費機繳費介面......................49
伍、結論與未來研究方向....................51
參考文獻.................................53

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[7]Mohannad Ibrahim, Abdelghafor Elgamri, Sharief Babiker and Ahmed Mohamed, “Internet of Things based Smart Environmental Monitoring using the Raspberry-Pi Computer,” Digital Information Processing and Communications (ICDIPC), pp. 159-164, Nov. 2015.
[8]Atmel, “ATmega 328P Datasheet, ” All Datasheet, www.alldatasheet.com/LM324‎ .
[9]http://coopermaa2nd.blogspot.tw/2012/09/hc-sr04.html
[10]http://yehnan.blogspot.tw/2013/09/arduinoforce-sensitive-resistor.html
[11]Aurelien Cord, Nicolas Gimonet, “Detecting Unfocused Raindrops: In-Vehicle Multipurpose Cameras, ” IEEE Robotics & Automation Magazine, pp. 49-56, 2014.
[12]Muhammad Attique Khan, Muhammad Sharif, Muhammad Younus Javed, Tallha Akram, Mussarat Yasmin, Tanzila Saba, “License number plate recognition system using entropy-based features selection approach with SVM, ” IET Image Processing, pp. 200-209, 2018.
[13]Lin Liu, Yang Liu, Lizhe Wang, Albert Zomaya, Shiyan Hu, “Economical and Balanced Energy Usage in the Smart Home Infrastructure: A Tutorial and New Results, ” IEEE Transactions on Emerging Topics in Computing, pp. 556-570, 2015.