在建築生命週期的施工階段中，現今普遍管理模式，施工人員基於填 表不斷累積施工進展的資訊，再以手動收集數據與圖說等型式，來掌控施 工進度，過程相當耗時且費工，且其視覺化程度不足。近年來，擴增實境 技術發展可以將現場影像與 BIM 模型做虛實畫面的整合，於真實場景中顯 示對應的建築資訊，但由於室內施工現場的定位問題，導致施工階段應用 甚少。因此本研究嘗試提出整合擴增實境與 BIM 且適用於室內施工階段之 進度管理系統概念架構。在此系統中，導入一種基於視覺慣性-即時定位與 點雲地圖建構的 AR 技術，透過掃描環境特徵點與平面檢測技術，將設定 於中心線上的對準用之虛擬元件貼合於實際現場相同物件，作為 BIM 模型 室內定位初始化，並依照現場所放置的實際物件在不同施工階段的完成面 進行位置偏移的參數校正，將模型於現場快速的定位貼合。日後便能依據 所紀錄之特徵點地圖將 BIM 模型疊合於現場做資訊呈現。此外亦導入 4D 營建管理的概念，使用者可藉由與 BIM 模型的互動，來達到管理施工作業 項目進度資訊的自動收集、資訊傳遞與進度的視覺化呈現回饋。基於時間、 BIM 模型與施工現場空間整合，可以在施工前了解空間中的約束與探討施 工的備選方案，促進後續施工進度上的掌握與調度，即時監控現場各施工 項目進度，彌補現有施工管理模式視覺化程度之不足。

In present, in the construction phase of the building life cycle, field personnel collect progress data, drawing, BIM information form construction site at certain time intervals, analysis and deliver them to their project management. Such discrete report does not explicitly convey problem with construction site and it is also time- consuming to combine all data and calculate earned value to report. In order to cope with this problem, this research presents augment reality-based construction progress monitor of management system. The system utilize AR representation based on Simultaneous Localization and Mapping (SLAM). The indoor positioning is first initialized by the user, who aligns 3D model preset virtual model on the center line with real component and regulate position parameter of the currently completed surface by different construction stage. Therefore, The live scene can be augmented with BIM 3D model by the device understanding of environment. In additional, the system also introduces 4D construction management model for monitoring the project progress on-site. The use of this system can help resident engineer, construction manager and site engineer in data collection, mechanism for visual feedback of progress, monitoring progress and evaluating project performance. Based on the above methods, this research has developed a way to quickly update the indoor positioning in a changeable construction environment, and can monitor the progress of each construction project in the real time. It makes up for the lack of visualization in the existing construction management mode. Results demonstrate high tracking accuracy, jitter free augmentation, and that the setup is sufficiently portable to be used on-site.

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