近來由於工業4.0技術的發展，網宇實體系統（Cyber-Physical System, CPS）、工業物聯網（Industrial Internet of Things, IIoT）與大數據（Big Data）等科技日趨成熟，全球製造業正逐漸轉變，積極進行智能化解答方案。由於需求與設計兩端缺乏有效溝通管道，企業對企業（B2B）之產品大量客製化，實現過程效率較低。針對此項缺失，本研究提出創新性概念，整合擴增實境、電腦輔助設計、網路傳輸與模擬分析，以真實使用場域作為設計媒介，進行智能化工程設計與評估。針對工業產品之大量客製化需求，發展其設計技術原型。經由擴增實境介面取得環境智能，決定需求規格與設計限制條件，結合參數化模型與設計規則，於雲端伺服器自動完成三維產品設計。透過無線網路將結果傳至使用現場，協助進行設計評估與模擬，除了確認外觀尺寸之外，並顯示產品功能的績效表現。以工具機電控箱之冷卻機設計與安裝為例，透過蒐集需求、展示評估與設計變更的階段性流程，驗證所發展之設計技術原型，於實現產品大量客製化的可行性與應用價值。

With the advancement of Industry 4.0 technologies, Cyber-Physical Systems (CPS), Industrial Internet of Things (IIoT), and Big Data have entered into various industrial sectors. The manufacturing industry is undergoing a transformation in pursuit of achieving mass customization. However, a significant challenge remains in bridging the communication gap between customer requirements and design. This is especially evi-dent in the context of Business-to-Business (B2B) product customization. To address this challenge, this study introduces an innovative concept that integrates Augmented Reality (AR), Computer-Aided Design (CAD), network transmission, and simulation analysis for conducting intelligent engineering design and evaluation. A prototyping de-sign tool is implemented based on this concept to meet the demands of mass customiza-tion in industrial products. Through AR interfaces, environmental intelligence is ob-tained to determine product specifications and design constraints. This information is combined with parametric models and engineering design rules to automatically gener-ate three-dimensional product models on a cloud server. The constructed models are transmitted wirelessly to the field for design evaluation and simulation. This not only verifies the design result but also highlight the product's performance during operation. Finally, by using an industrial cooler for the electrical enclosure of machine tools, this study demonstrates the feasibility and application value of the proposed concept and design tool through a systematic process of requirement collection, evaluation display, and design modifications. This research realizes the potential and practicality of achiev-ing mass product customization using AR.

摘要......II
Abstract......III
圖目錄......VII
表目錄......X
第一章、緒論......11
1.1 研究背景......11
1.2 研究目的......12
第二章、文獻回顧......14
2.1 基於擴增實境之客製化產品設計......14
2.2 基於擴增實境之工業場域佈置......15
2.3 基於擴增實境之產品設計評估......16
2.4 小結......18
第三章、研究架構......19
3.1 使用者中心設計......19
3.2 知識導向工程......19
3.3 智能性客製化設計......19
第四章、研究方法......22
4.1 系統架構......22
4.2 電控箱冷卻機設計條件......25
4.3 識別發熱源......26
4.3.1 識別標籤位置......26
4.3.2 標籤資訊之光學字元辨識......27
4.4 整合熱感相機與擴增實境......28
4.4.1 熱感相機與手機相機之視差問題......28
4.4.2 座標空間定義......30
4.4.3 兩相機之間的轉換關係......32
4.4.4 相機內部參數......34
4.4.5 兩相機間的轉換矩陣......36
4.4.6 實際效果......36
4.5 尋找可安裝區域之演算法......39
4.5.1 先備條件......39
4.5.2 計算長方體之高度......39
4.5.3 計算長方體之長與寬......40
4.5.4 尋找體積最大之長方體......41
4.6 冷卻機參數化原理......42
4.6.1 冷卻機基本構造......43
4.6.2 冷卻機簡化模型......44
4.6.3 冷凝器與蒸發器之設計......47
4.6.4 冷凝器與蒸發器尺寸計算......49
4.7 雲端伺服器建立......50
4.8 基於模擬分析之評分系統......51
第五章、系統實作與測試結果......54
5.1 客製化冷卻機現行設計方法......54
5.2 智能性客製化設計實作......54
5.3 部署環境......55
5.4 操作流程......56
5.4.1 辨識熱源......56
5.4.2 選擇安裝平面......61
5.4.3 蒐集空間資訊......63
5.4.4 計算可安裝區域......63
5.4.5 生成客製化模型......64
5.4.6 使用者評估安裝位置......66
5.4.7 調整模型......68
第六章、結論與未來展望......71
參考文獻......73

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