| 研究生: |
鄭品宸 Adam, Fitriawijaya |
|---|---|
| 論文名稱: |
建築的數位轉型: 運用生成式人工智慧、BIM和區塊鏈提升設計流程 Digital Transformation in Architecture: Leveraging Generative AI, BIM, and Blockchain for Enhancing Design Workflows |
| 指導教授: |
鄭泰昇
Jeng, Tay-Sheng |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
規劃與設計學院 - 建築學系 Department of Architecture |
| 論文出版年: | 2024 |
| 畢業學年度: | 113 |
| 語文別: | 英文 |
| 論文頁數: | 75 |
| 中文關鍵詞: | 數位轉型 、生成式人工智慧 、BIM 、區塊鏈 |
| 外文關鍵詞: | Digital Transformation, Generative AI, BIM, Blockchain |
| 相關次數: | 點閱:122 下載:75 |
| 分享至: |
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如今,永續性、互通性和設計自動化正在推動建築實踐的變革,必須使用改變傳統工作流程的數位技術來解決這個問題。本論文將探討三種新興的變革性技術:區塊鏈、建築資訊模型(BIM) 和生成人工智慧(AI),以及它們的整合如何將傳統的AEC 工作流程轉變為更有效率、透明、高效和可持續的工作流程。本論文將提出三項初步研究。第一項研究旨在透過區塊鏈技術解決供應鏈的挑戰。該研究將展示 BIM 和區塊鏈的去中心化通用資料環境 (DCDE) 和智慧合約如何增強可追溯性、安全性和協作。第二項研究將透過案例研究分析BIM 和區塊鏈的集成,展示數位孿生如何揭露綠色建築中的碳,以及該技術如何提供透明度以確保碳報告的準確性,以支持實現綠色建築目標的碳排放目標減少目標並支持遵守綠建築標準。第三項研究將調查概念設計階段生成式人工智慧、BIM 和區塊鏈之間的技術整合。它將展示該技術如何提高創造力、效率和資料安全性。此階段將展示這些技術如何幫助快速產生設計選項,以及該技術如何使用不可替代代幣 (NFT) 保護設計數據,以確保設計所有權。根據研究結果,可以推斷,將區塊鏈技術應用於 BIM 和生成式人工智慧將推動 AECO 產業的數位轉型,從而增強其競爭力並提高創新能力。研究顯示這些技術如何加強整合並提高建築設計工作流程的營運效率和永續性,從而提高透明度和創新性。本論文將總結研究結果並討論建築數位轉型,重點在於未來研究可能徹底改變建築業的實際挑戰和機會。
Nowadays, sustainability, interoperability and design automation are driving a change in architectural practices that must be addressed using digital technologies that transform traditional workflows. This thesis will explore three emerging and transformative technologies, Blockchain, Building Information Modeling (BIM) and Generative Artificial Intelligence (AI) and how their integration can transform traditional AEC workflows into more productive, transparent, efficient and sustainable workflows. This thesis will propose three primary studies. The first study aims to address the challenges of the supply chain through blockchain technology. The study will demonstrate how BIM and Blockchain's decentralised common data environment (DCDE) and smart contract can enhance traceability, security and collaboration. The second study will analyse the integration of BIM and blockchain through a case study that demonstrates how digital twins can disclose carbon in green buildings and how the technology can provide transparency to guarantee the accuracy of carbon reporting to support the efforts towards green building goals with carbon reduction targets and support compliance with green building standards. The third study will investigate technology integration in collaboration between Generative AI, BIM and blockchain in the conceptual design phase. It will show how the technology can improve creativity, efficiency and data security. This phase will demonstrate how these technologies can help generate design options rapidly and how the technology can secure the design data with a non-fungible token (NFT) to ensure design ownership. Given the findings, it can be deduced that the utilisation of Blockchain technology applied to BIM and Generative AI will drive the digital transformation of the AECO industry to enhance its competitiveness and improve innovation. The studies indicated how these technologies can strengthen integration and improve the operational efficiency and sustainability of architectural design workflows, increasing transparency and innovation. This thesis will conclude with a summary of the findings and a discussion about digital transformation in architecture, focusing on the practical challenges and opportunities for future research that can revolutionise the building industry.
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