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研究生: 王柏仁
Wang, Po-Ren
論文名稱: 結合知識本體與BIM於機電設施維護之應用-以大型設備更換為例
Applying Ontology and BIM to MEP Facility Management - A Case Study of Replacing Large-size Equipment
指導教授: 馮重偉
Feng, Chung-Wei
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系
Department of Civil Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 中文
論文頁數: 153
中文關鍵詞: 本體論建築資訊模型COBie知識管理設備管理
外文關鍵詞: Ontology, BIM, COBie, Knowledge Management, Facility Management
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  • 機電設備的重要性如同人體內血管與神經的存在,該如何維持其正常功能便是設備維護管理的重要項目,設備維護主要分為例行性維護與故障緊急維護,後者所需資訊較前者即時且複雜;此外,針對大型機電設備維護更需額外考慮現地施工條件、施工順序、相關資源等因素,再加上施工人員的知識與經驗水平的因素,將直接影響維護作業的品質與效率。
    目前透過BIM的可視性與元件資訊內容輔助建築中的設計、施工階段已有不少應用與研究,而協助設備維護管理之應用相對較少,其元件所含之設備維護資訊不足;而知識管理方面,有研究利用知識庫與關鍵詞的方式協助維護人員取得相關維護資訊。本體論,起源於哲學上的概念,用於描述物體之間的關聯,近年來亦有研究使用知識本體協助工程專案的知識傳遞。
    為了解決知識傳遞不易、BIM元件所含設備維護資訊不足、忽略現地施工條件等問題,本研究透過結合知識本體與BIM的方式輔助設備維護之應用。首先以IDEF0 解析發展知識本體流程所需資訊,透過不同資訊解析模式之成果定義本研究知識本體之架構;另一方面,定義BIM的建模標準與COBie的資訊內容,並將兩者以「實例」結合。透過之訊整合的方式輔助判斷現地施工因素並協助傳遞相關知識,並將資訊整合過程中所產出之資訊需求回饋於BIM,以延續該模型的使用性,最後以大型機電設備故障情境驗證之。
    經過案例驗證與業界回饋得知,結合知識本體與BIM事先判定現地施工條件,並回饋資訊以擴充BIM資訊內容,確實能改善目前機電設備維護作業情形及延續模型的使用性。

    SUMMARY
    The breakdown maintenance is still the primary maintenance type, and knowledge and experience play an important role in mechanical, electrical and pumping (MEP) system maintenance. On the other hand, the information requirement of replacing large-size equipment is more complex than normal situation, therefore, time and cost will be wasted due to experience gap and ignorance job-site conditions. Though Building Information Modeling (BIM) to integrate the information is trend, but it still faces requirement unclear of BIM elements and difficult knowledge delivery. This research develops a framework to integrate Ontology and BIM to improve current maintenance procedure and help maintainers to deliver their knowledge and experience.
    This research adopts IDEF0 to analyze requirements of each activity for the Ontology development and use different types of analytical information to build the ontology model; besides, this research defines the standards of BIM and COBie. Finally, by using “Individuals” it integrates ontology and BIM.
    According to the case study, this framework can really assist knowledge delivery, analysis job-site conditions and expand BIM element information.

    Keywords: Ontology、BIM、COBie、Knowledge Management、Facility Management

    摘要 i Abstract ii 誌謝 v 目錄 vii 表目錄 x 圖目錄 xi 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 研究範圍與限制 5 1.4 研究流程與方法 6 1.5 論文架構 8 第二章.文獻回顧 9 2.1 研究問題陳述 9 2.2 故障維護管理 11 2.2.1設備種類與元件架構 11 2.2.2故障維護管理之特性 12 2.3 BIM於設備維護之發展 16 2.3.1BIM於設備維護應用之現況 16 2.3.2COBie發展現況 21 2.4 知識管理 24 2.5 本體論(Ontology) 26 2.5.1本體論介紹 26 2.5.2 OWL/Protégé/SWRL介紹 28 2.5.3知識本體於工程上之應用 31 2.6 小結 33 第三章.研究方法 35 3.1 需求分析工具 35 3.1.1專家訪談 35 3.1.2特性要因圖(CED) 36 3.1.3 IDEF0流程圖 36 3.2 BIM建模工具 38 3.2.1 REVIT 2016 39 3.2.2 COBie Toolkit 39 3.3 本體論編輯器-Protégé 41 3.3.1 Protégé特色與功能介紹 41 3.3.2 SWRL規則 43 3.3.3推論引擎介紹 45 第四章.模式建構 48 4.1 解析知識本體發展流程 50 4.2 建構資訊需求解析模式 53 4.2.1建立元件分類架構 53 4.2.2建立故障成因分析模式 54 4.2.3建立語意解析模式 55 4.3 發展知識本體模型架構與資訊整合方式 56 4.3.1發展知識本體架構 57 4.3.2 SWRL規則語言 60 4.3.3資訊整合方式 61 4.4 定義BIM與COBie資訊標準 64 4.4.1定義BIM建模標準 64 4.4.2定義COBie資訊擴充內容 66 4.5 BIM元件資訊內容與元件庫架構 67 4.5.1定義元件發展流程 67 4.5.2元件庫架構 69 4.6 小結 70 第五章.案例驗證 71 5.1 案例說明 71 5.2 解析資訊需求 73 5.2.1定義元件架構 73 5.2.2解析故障因子及維護資訊 74 5.2.3語意解析 76 5.3 建立知識本體模型 80 5.3.1建立類別(Classes) 80 5.3.2建立物件屬性(Object Properties) 82 5.3.3 描述客觀事實 83 5.3.4 加入類別推論條件及分類結果 84 5.4 BIM模型與COBie表單建置 86 5.4.1元建資訊內容 86 5.4.2繪製BIM模型及產出COBie表單 89 5.5 整合資訊與施工條件判別 92 5.5.1資訊整合 92 5.5.2施工條件判別與維護所需資訊 93 5.6 資訊回饋與元件庫建置 105 5.7 差異化分析 113 第六章.結論與建議 114 6.1 結論 114 6.2 建議 116 參考文獻 118 附錄A 訪談記錄 123 A-1 訪談記錄一 123 A-2 訪談記錄二 126 A-3 訪談記錄三 128 附錄B常見機電系統故障事件、成因及維護資訊 130 附錄C SWRL Core Build-in功能說明 135

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