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研究生: 劉育承
Yu-Cheng Liu
論文名稱: 室內環境監測物聯網資料之擴增實境呈現模式
Augmented Reality presentation paradigms of indoor environment monitoring data collected using IoT
指導教授: 陳鴻銘
Hung-Ming Chen
口試委員: 謝佑明
Yo-Ming Hsieh
蔡孟涵
Meng-Han Tsai
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 96
中文關鍵詞: 物聯網室內環境監測熱舒適度擴增實境
外文關鍵詞: IoT, indoor environment, monitoring, thermal comfort, AR
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  • 近年來隨著物聯網(Internet of Things,IoT)相關技術的發展,其應用已遍及各個領域,其中室內環境監測在智慧居家與智慧工廠的領域為常見的應用之一。傳統在呈現室內環境監測結果時常以文字或平面的圖表為主,然而透過此種方式無法看出監測數據在空間中的分布情形。另一方面,市面上常見的數值分析軟體可以透過3D的模式將數值大小利用模型的顏色來呈現,故本研究想藉由此種方式將室內環境監測數據透過3D的模式呈現。但目前在3D的呈現上主要以外部的視角居多,若是以使用者的視角在所在環境中操作不一定能夠適用。另一項視覺化技術擴增實境(Augmented Reality,AR)可以將虛擬內容與現實世界整合,且使用情境為使用者視角下操作,因此適用於將室內監測資料透過此種模式呈現。本研究提出室內環境監測物聯網資料之擴增實境呈現系統,案例中透過測站的環境監測結合行動裝置的視覺化呈現,提出一套整合物聯網與擴增實境的應用模式。另外提出幾種視覺化呈現模式來呈現室內環境監測結果,並透過使用者實際測試與評估保留合適的視覺化模式以及建議參數的範圍,作為日後開發者參考依據。


    In recent years, with the development of Internet of Things (IoT) related technologies, its applications have spread to various fields, among which indoor environment monitoring is one of the common applications. Traditionally, indoor environmental monitoring results are presented mainly in text or flat charts, but the distribution of monitoring data in space cannot be seen in this way. On the other hand, common numerical analysis software can present the numerical magnitude in 3D mode using the color of the model. However, the current 3D presentation is mainly based on the external view angle, which may not be applicable if the user's view angle is used in the environment. Augmented Reality (AR) can integrate virtual content with the real world and operate in the user's perspective. Therefore, this study proposes an AR presentation system for indoor environmental monitoring data on IoT. A prototype system combining the environmental monitoring of the sensor with the visual presentation of the mobile device was developed to show the feasibility of such interaction paradigm. Several visualization ways are proposed to present the indoor environmental monitoring results. A case study on the application scenarios of the proposed system was developed to show the feasibility and benefit of such integration.

    論文摘要 I ABSTRACT II 誌  謝 III 目錄 IV 圖目錄 VIII 表目錄 XI 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機 2 1.3 研究目的 3 1.4 研究範圍 4 1.5 研究方法與流程 5 1.6 論文架構 5 第二章 文獻回顧 6 2.1 物聯網於室內環境監測的應用 6 2.2 擴增實境的應用 7 2.3 擴增實境於物聯網的應用 9 2.4 室內熱環境舒適度 11 第三章 系統開發工具與技術 13 3.1 基於 IoT 之環境監測技術 13 3.1.1 Arduino 13 3.1.2 環境監測模組 14 3.1.3 ZigBee網路 16 3.1.4 樹莓派 16 3.2 資料儲存與管理技術 17 3.2.1 Apache Hbase 17 3.2.2 Apache Thrift 17 3.2.3 HappyBase 18 3.2.4 django 18 3.2.5 Python 18 3.3 AR 系統開發技術 18 3.3.1 Unity 18 3.3.2 AR Foundation 19 第四章 系統架構與運作機制 20 4.1 系統架構 20 4.1.1 系統前處理流程 20 4.1.2 使用者運作流程 20 4.2 系統運作機制 21 4.2.1 監測資料儲存 21 4.2.2 Hbase資料表配置 22 4.2.3 監測資料查詢 23 4.2.4 測站座標化 24 4.2.5 連續性數據轉換 25 4.2.6 監測資料視覺化呈現 28 4.2.7 AR 定位機制 31 第五章 案例分析 32 5.1 案例背景介紹 32 5.1.1 監測空間簡介 32 5.1.2 測站硬體配置 32 5.1.3 測站外殼設計與實作 34 5.1.4 測站位置分佈 36 5.1.5 系統測試裝置 38 5.2 系統介面與功能展示 38 5.2.1 系統介面設計 38 5.2.2 系統功能展示 40 5.3 使用者回饋與分析 43 5.3.1 視覺化模式與參數評估 43 5.3.2 使用者回饋結果分析 44 第六章 結論與未來展望 47 6.1 結論 47 6.1 未來研究方向 48 參考文獻 49 附錄 53 附錄A 硬體規格 53 A.1 Arduino UNO R3 53 A.2 DHT22 53 A.3 TSL2561 54 A.4 Wind Sensor Rev. C 54 A.5 Xbee S2 55 A.6 Raspberry Pi 4 Model B 56 A.7 ASUS ZenFone AR 57 附錄B 受試者名單與系統評估問卷 61 B.1受試者名單 61 B.2系統評估問卷 61

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