機電工程的查驗是一項複雜且多樣的工作，通常依賴紙本圖說和經驗來進行機電系統的查驗，然而這種傳統方式容易因為人為產生判讀錯誤，為了解決這些問題，近年來開始運用建築資訊模型 (Building Information Modeling, BIM) 技術進行輔助機電工程的查驗，但傳統的 BIM 模型往往與施工現場之間存在不一致的情況，使得 BIM 在查驗作業中的成效不彰，因此研究開始嘗試利用數位雙生技術和混合實境技術來提升機電工程查驗的效率。數位雙生技術可將現實世界中的物理對象或場景以數位化的方式呈現，並與現實世界進行互動和資訊交流，混合實境技術則可將虛擬的 BIM 模型內容投影至現實世界的中，讓使用者能夠同時觀察虛擬模型和實際施工場景。
在本研究中，首先建立符合查驗規範的 BIM 模型，該模型包括機電系統的各項設備和相關資訊，接著建立雲端資料庫流程，將 BIM 模型和相關資訊儲存在雲端平台上，進行實時同步更新，確保查驗人員始終使用最新的 BIM 模型和資訊進行查驗作業，然後利用混合實境設備，將 BIM 模型的虛擬內容投影到現實施工場景中，讓查驗人員能夠在現場直接觀察，並將虛擬模型和現場設備進行對比，查驗人員在確保虛擬模型與實際情況一致後，便可透過混合實境設備進行查驗，配合混合實境的各項輔助功能，查驗人員可以更加精準地做出判斷，而查驗結果會透過網路上傳至雲端資料庫，再透過流程自動化技術，自動生成符合機電系統查驗工程需求的查驗報表，節省查驗人員的時間和精力，同時提高查驗報告的準確性。

MEP inspection is a complex and diverse task that requires a significant amount of operational data. Traditionally, it relies on paper drawings and experience, which can lead to human errors in interpreting the information. To address these issues, the integration of Building Information Modeling (BIM) has been used to consolidate data. However, the current BIM models often exhibit inconsistencies with the actual construction site, limiting the effectiveness of BIM in construction operations. As a result, researchers both domestically and internationally have begun exploring the use of Digital Twins and Mixed Reality (MR) technology to present BIM models and information through MR devices at the MEP construction site, achieving a seamless integration of virtual and physical elements.
Therefore, this research aims to effectively assist the MEP inspection process using MR technology, addressing the need for collaborative work during inspections. The first step is to establish BIM models based on inspection standards. The analysis results are then used to identify the functional requirements for subsequent MR system development. A cloud database workflow is constructed to store the necessary data, along with specifications for linking the MR system. Finally, leveraging process automation techniques, reports are generated to meet the requirements of MEP inspection projects, enhancing the effectiveness of BIM models in on-site applications, and improving the efficiency and accuracy of on-site inspection operations.

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