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研究生:李如昀
研究生(外文):LEE, RU-YUN
論文名稱:基於物聯網的多手機應用程式端之智慧系統的開發與資料整合
論文名稱(外文):Internet of Things (IoT)-based Smart System Development and Data Integration for Multi-Mobile Apps
指導教授:黃榮堂黃榮堂引用關係韓麗龍韓麗龍引用關係
指導教授(外文):HUANG, JUNG-TANGHAN, LEE-LONG
口試委員:吳文中曾柏軒黃榮堂韓麗龍
口試委員(外文):WU, WEN-JONGTSENG, PO-HSUANHUANG, JUNG-TANGHAN, LEE-LONG
口試日期:2020-07-24
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:機械工程系機電整合碩士班
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:80
中文關鍵詞:智慧消防智慧停車物聯網乳酸測量飲食紀錄整合開發
外文關鍵詞:Smart fire protectionsmart parkingInternet of Thingslactate measurementdiet recordintegrated development
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時至今日物聯網的開發處處可見,也出現了越來越多的物聯網殭屍應用程式,如何做到不讓應用程式變成殭屍App也是一門直得探討的學問。Yahoo執行長Marissa Mayer提出了「兩次點擊原則(The Two Tap Rule)」,也成了現今應用程式開發的方向,本研究透過將每一套系統由不同應用程式個別開發,讓每個應用程式保有原本的功能專一性,再透過廣告或是商店的方式,推薦使用者下載,並且每個應用程式都有能力跳轉於彼此,不同應用程式雖然在雲端是綁定不同的資料庫,但他們卻共同指向同一個資料倉儲,因此可以將每個App中使用者的資訊收集彙整。以往人們常常使用手機應用程式完成許多方便的事,例如:訂車票、預約餐廳或記帳等等,但是產生的這些資料卻分散零閃,所以本研究將開發的應用程式包括智慧交通的停車系統、人體乳酸的顯示及收集、智慧消防與飲食紀錄等等的資料有效的收集並且統整,長時間下來將這些資料合併再一起並且產生新的價值,小至影響人們的一天起居,大至對醫學界也會有所貢獻。
Today, the development of the Internet of Things is everywhere, and there are more and more Internet of Things zombie applications. How to prevent the application from becoming a zombie application is also a simple discussion. Yahoo CEO Marissa Mayer (Marissa Mayer) proposed the "two-click rule", which has become the direction of today's application development. In this research, each system is developed by different applications, so each application retains the particularity of the original function, and then recommends users to download through advertisements or stores, and each application has The ability to jump to each other. Although different applications are bound to different databases in the cloud, they all point to the same data warehouse, so user information can be collected and aggregated. Applications developed in this research include parking systems for intelligent transportation, display and collection of human lactic acid, intelligent fire protection, and diet records. If these data are collected and combined effectively, in the long run, these data will make a contribution to human daily life and even the medical community.
摘 要 i
ABSTRACT ii
誌謝 iv
目錄 v
圖目錄 viii
表目錄 xi
第一章 緒論 1
1.1前言 1
1.2研究背景 2
1.3研究動機與目的 3
1.4研究流程與步驟 4
1.5 文獻回顧 5
1.5.1智慧消防 5
1.5.2智慧停車 6
1.5.3乳酸監控及飲食 7
1.5.4應用程式資料整合 8
第二章 實驗設備與開發環境 10
2.1應用程式開發環境介紹 10
2.2藍牙簡介及技術 12
2.3實驗設備 16
2.3.1裝置 16
2.3.2行動裝置 18
第三章 系統架構與設計 19
3.1 系統架構類型探討 19
3.1.1 MVC(Model-View-Controller)架構 21
3.1.2 MVP(Model-View-Presenter)架構 22
3.1.3 MVVM(Model-View-ViewModel)架構 23
3.1.4 架構類型比較 24
3.1.5 Android中的MVC\MVP架構比較 24
3.2 應用程式後端資料庫及FireBase介紹 26
3.2.1資料庫選擇與比較 26
3.3 FireBase Cloud Messaging介紹 28
第四章 智慧系統開發及整合 30
4.1 智慧停車系統 30
4.1.1 智慧停車流程 31
4.1.2 身份驗證 32
4.1.3 車位感測節點介紹 33
4.1.4 自主報到與電子車牌報到 34
4.1.5 預約報到設計 39
4.1.6 報到實驗 43
4.2 智慧消防系統 47
4.2.1 工程設定模式 47
4.2.2 監控方式(導航) 49
4.3 乳酸監控與飲食 51
4.3.1 監控方式 51
4.3.2 飲食習慣紀錄 53
第五章 應用程式及資料整合 55
5.1 應用程式整合方式 55
5.1.1 分散式資料庫 55
5.1.2 應用程式連結及下載 56
5.2 資料收集與處理 60
5.2.1 BigQuery資料倉儲 60
5.2.2 Data Studio整合與實現 64
第六章 結論與未來展望 74
6.1 結論 74
6.2 未來展望 74
參考文獻 76


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