在營建工程中，傳統的工程進度評量大多仰賴檢查人員進行手動查核，或是在現場拍照再將照片與圖說進行比對，這種做法不但耗費大量的時間與人力成本，人為檢查也可能造成誤判或是檢查缺漏。隨著建築資訊模型(Building Information Modeling, BIM)的發展，已能夠從中獲取材料、結構…等相關資訊並以此為基準進行工程進度評量，但一般BIM模型大多未建構工項資訊，導致無法直接取得以工項為主的進度相關資訊，進而無法有效的建立比對基準。進度判斷方面，目前研究著重於點雲與BIM模型元件之比較，依據元件是否存在進行進度評量，但是進度評量需依據工項性質而有不同的進度計算方式，不僅僅是依據物件存在與否來判斷進度，導致所產出的進度資訊無法被有效的使用。
為了改善上述之問題，本研究首先解析進度評量資訊中成本工項資訊需求，藉由彙整之知識語意資訊作為建構知識本體模型之架構，透過知識本體模型呈現BIM元件與工項之關聯性，並用以推論各類別BIM元件需具備的資訊作為建模規則之依據，確保建構符合專案管理需求之BIM模型。接著利用Navisworks與Helios++建構4D-BIM模型與虛擬點雲，最後整合4D-BIM模型資訊與虛擬點雲，產出多維度虛擬點雲，完成進度評量基準之建立。利用Python編寫進度比對規則，運用點雲中的座標資訊比較虛擬點雲與實際點雲進行工程進度的判別，最終依據各工項計算進度的方式產出進度資訊。運用數值化的方式進行進度評量，所產出的進度資訊不只是判定BIM元件是否完成，而是依照實際裝修工項進度計算方式呈現，較有助於實際應用於營建產業。

In construction projects, the traditional construction progress assessment mostly relies on manual examination by inspectors, or taking pictures on site and comparing the photos with drawings. This approach not only consumes a lot of time and costs, but also may cause missing inspection. With the development of Building Information Modeling, it has been possible to obtain information from it, and use it as a baseline to assess the construction progress. However, many BIM models don’t build work item information, which makes it impossible to directly obtain work item-based information, and cannot effectively establish a baseline. In terms of progress assessment, the current research focuses on the comparison of point cloud and BIM model elements, and the progress assessment is based on whether the elements exist. We need to use different methods to assess the construction progress according to the nature of the work item. The progress is not only assessed based on the existence of the object, so that the generated progress information cannot be effectively used.
To improve the above problems, this research first analyzes the work item information requirements in the progress assessment, uses the information as the framework for modeling the ontology model, and presents the relevance of BIM elements and work items through the ontology model. It is used to infer the information required for each type of BIM element as the basis for modeling rules to ensure the construction of a BIM model that meets the needs. Then use Navisworks and Helios++ to build the 4D-BIM model and virtual point cloud, and finally integrate the 4D-BIM model information and the virtual point cloud to produce a multi-dimensional virtual point cloud to complete the baseline. Use Python to compile progress comparison rules, and use the coordinate information in the point cloud to compare the virtual point cloud and the actual point cloud to assess the construction progress, and finally produce the progress information based on the calculation of the progress of each work item. Using numerical methods for progress assessment, the generated progress information is more helpful for practical application in the construction industry.

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