營建產業日益增加的預鑄混凝土結構應用，反映了對於提升施工品質、生產力與永續性的迫切需求。儘管需求不斷增長，但由於高度依賴工程師個人經驗與人工解讀，從傳統現場澆置（CIP）結構設計轉換至預鑄結構設計的過程仍是主要的瓶頸。本研究旨在透過開發一套以 BIM 模型為基礎之傳統結構設計轉換為預鑄結構設計機制，以解決上述挑戰。 本研究專注於三個主要目標：（1）建立標準作業流程（SOP），將零散的預鑄專業知識轉化為系統性指引；（2）制定全面的檢核表，針對原始模型的完整性、正確性與合理性進行檢查，並結合轉換可行性評估；以及（3）開發基於 Dynamo 的自動化模組，用以驗證轉換結果的有效性，藉此減少重複性的人工檢核作業。 此外，本研究整合了以規則為基礎之對映方法與BIM 參數化建模，以確保研究能夠解決實務面臨的問題。再者，本研究透過在桃園與宜蘭的集合住宅案例研究中實施此機制，證明系統化的轉換機制能顯著減少人為錯誤與資訊落差，且本研究利用視覺化程式設計所開發的自動化驗證模組，不僅能驗證經設計轉換後之預鑄結構設計模型的有效性，，也改善了相關作業的執行效率與一致性。 總結而言，本論文貢獻了一套經過驗證的轉換機制，降低了預鑄工法的應用門檻。研究結果補足了傳統建模實務與工業化施工需求之間的缺口，為預鑄產業的數位轉型提供了理論框架與實務工具。;The increasing adoption of precast concrete structures in the construction industry reflects an urgent need for improving construction quality， productivity， and sustainability. Despite this growing demand， the conversion from a conventional cast-in-place (CIP) structural design to a precast structural design remains a significant bottleneck due to a heavy reliance on individual engineers′ experience and manual interpretation. This study aims to address these challenges by developing a structured mechanism for converting traditional structural designs to precast designs based on BIM models. This study focuses on three primary objectives: (1) establishing a standardized operating procedure (SOP) to transform fragmented precast expertise into systematic guidance; (2) formulating comprehensive checklists for initial model integrity， correctness， and rationality， alongside conversion feasibility assessments; and (3) developing Dynamo-based automated modules to verify the validity of conversion results， thereby reducing repetitive manual checking tasks. The methodology integrates the approaches of rule-based mapping and BIM parametric modeling to ensure the outcomes being useful for solving practical problems. By implementing the framework on residential case studies in Taoyuan and Yilan， this study demonstrates that a structured conversion mechanism significantly reduces human error and information gaps. The automated verification modules developed using visual programming not only enhance the accuracy of large-scale model conversions but also improve operational efficiency and consistency. Overall， this study contributes a validated conversion mechanism that lowers the threshold for precast implementation. The findings bridge the gap between traditional construction practices and industrialized construction demands， offering both theoretical frameworks and practical tools for digital transformation in the precast industry.
