以學術與專利之引證透過主路徑分析法探討營建工程應用BIM之發展趨勢

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姓名

翁國展(Kuo-Chan Weng) 查詢紙本館藏

畢業系所

土木系營建管理博士班

論文名稱

以學術與專利之引證透過主路徑分析法探討營建工程應用BIM之發展趨勢
(Exploring BIM Technology Development using Citation Analysis of Academic Paper and Patent : The Main Path Approach)

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至系統瀏覽論文 (2028-1-3以後開放)

摘要(中)

近年來建築資訊模型BIM (Building Information Modeling) 已成為世界各國營建產業最為關注之議題， BIM在營建應用方面的研發進展快速且廣泛，若要有效從事相關研究，就必須充分掌握此領域的技術發展、知識擴散、傳承過程的累積及趨勢，所以本研究分析BIM文獻及專利的引證網絡來掌握此領域的技術發展及知識擴散的趨勢。
本研究以主路徑分析 (Main Path Analysis)方法，選擇總體主路徑搭配關鍵主路徑演算法進行分析取得數據，將所得到之數據透過Pajek軟體做網絡分析，最後取得BIM歷年發展軌跡。首先，透過Web of Science(WoS)資料庫獲得3761篇從2000年至2020年BIM相關的文獻資料做為研究樣本，利用其引用資料建立引證網絡，再根據主路徑上的文獻發展趨勢分為四大階段：第一階段：設定建立BIM標準、第二階段：竣工建物轉換成BIM模型之結合運用、第三階段：BIM應用到預鑄技術、第四階段：BIM應用到土地地籍管理。再者，由Derwent Innovation專利數據庫收集美國專利資料庫(USPTO)數據，共得1,062件BIM相關專利建構專利引證網絡，再透過Level 2 patent citation expansion共得9,755件專利，作為本研究之研究標的，以總體關鍵延伸主路徑的方法分析Level 2 Expanded Patent Set，主路徑可由3個stream匯集而成，Stream I為3D模型的建置及應用，Stream II為3D圖像的展現，Stream III為建築資訊的自動分析。再進一步使用Edge-betweenness clustering 集群分析法分類Level 2 Expanded Patent Set的技術群，將技術群進行更深入的主路徑探討，這些群分別為Energy Consumption Management Control、Building modeling for Design and Construction、Asset Tracking and Monitoring及Security Monitoring。
透過主路徑分析提供此領域研究的技術發展概況，包括發展起源、主流思想的演變歷程與發展趨勢，給予對BIM在營建工程應用領域研究有興趣之新進研究人員可靠且實用的資訊，有助於釐清研究方向，並掌握此研究領域未來的發展趨勢。而BIM未來的發展應朝著轉型資通訊科技整合應用，如何與物聯網、大數據、人工智慧以及 5G 等創新技術結合，是一個很重要的發展趨勢。

摘要(英)

In recent years, Building Information Modeling (BIM) has become one of the most prominent topics in the global construction industry. The research and development of BIM in construction applications have progressed rapidly and extensively. To effectively conduct related research, it is necessary to fully understand the technological developments, knowledge dissemination, accumulation, and trends within this field. Therefore, this study analyzes BIM literature and patents to grasp the trends in technological advancements and knowledge dissemination within this domain.
This study aims to analyze the knowledge dissemination about BIM′s application in the construction industry by using Main Path Analysis (MPA). First, the research sample comprises 3,761 papers related to BIM′s application in the construction industry, sourced from the ISI Web of Science (WoS) database. As the analysis result through the global key-route main path analysis, we identified the trajectory of BIM′s application in the construction industry can be divided into four stages: 1) BIM standardization; 2) Integration of completed building projects using BIM; 3) BIM applications in precast construction projects; and 4) BIM applications in land management.
Additionally, Derwent Innovation′s patent database is collected from the United States Patent Database (USPTO). A total of 1,062 BIM-related patents are obtained to build a patent citation network. In addition, through a level 2 patent citation expansion, a total of 9,755 patents are obtained as subjects for this study. The Level 2 Expanded Patent Set is first analyzed using the main path of the overall key extension. The main path is composed of three streams: Stream I is used for the construction and application of 3D models, Stream II is used for the presentation of 3D images, and Stream III is used for the automatic analysis of architectural information. This study also uses edge-betweenness clustering for cluster analysis and conducts a more in-depth main path study of the specific patent clusters on the Level 2 Expanded Patent Set (main path). These groups are Energy Consumption Management Control, 3D Building Modeling for Design and Construction, Asset Tracking and Monitoring, and Security Monitoring.

關鍵字(中)

★ 建築資訊模型(BIM)
★ 引證網絡
★ 引文分析
★ 主路徑分析
★ 專利分析
★ 集群分析

關鍵字(英)

★ Building Information Modeling (BIM)
★ Citation network
★ Citation analysis
★ Main path analysis
★ Patent analysis
★ Cluster analysis

論文目次

摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
1.3 研究範圍 3
1.4 論文架構與研究流程 4
第二章文獻探討 5
2.1 建築資訊模型BIM (Building Information Modeling) 5
2.2 引文分析 8
2.3 專利引證 10
2.4 主路徑分析 11
2.5 集群分析 18
第三章 BIM在營建工程應用學術論文主路徑分析 21
3.1 研究資料 21
3.1.1 資料來源 21
3.1.2 資料蒐集與關鍵字檢索 21
3.1.3 分析軟體應用 22
3.2 基本統計 23
3.2.1 論文成長趨勢 23
3.2.2 國家別分析 24
3.2.3 期刊統計 25
3.2.4 作者統計 26
3.3 路徑分析結果 27
3.4 綜合討論 37
第四章 BIM在營建工程應用專利主路徑分析 38
4.1 研究資料 39
4.1.1 資料來源 39
4.1.2 資料蒐集與關鍵字檢索 40
4.1.3分析軟體應用 40
4.2 主路徑分析結果 41
4.3 專利集群分析結果 44
4.4 集群主路徑分析 47
4.5 綜合討論 56
第五章 BIM技術發展案例 58
5.1 社會住宅結合BIM之智慧維護管理雲平台 58
5.2 大規模建築工程中BIM及數位孿生分析應用 61
5.3 IWA智慧建築整合管理平台 63
5.4 綜合討論 68
第六章結論與建議 69
6.1 研究結論 69
6.2 研究貢獻 71
6.3 後續研究與建議 72
參考文獻 75

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指導教授

陳介豪(Jieh-Haur Chen)

審核日期

2025-1-10

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