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LOCATIONAL-ANALYSIS-BASED OPERATION AND MAINTENANCE DATA MANAGEMENT SYSTEM (LAOMS) USING BUILDING INFORMATION MODELING
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 차희성 | - |
| dc.contributor.author | 윤종한 | - |
| dc.date.accessioned | 2018-11-08T08:11:54Z | - |
| dc.date.available | 2018-11-08T08:11:54Z | - |
| dc.date.issued | 2018-02 | - |
| dc.identifier.other | 27462 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/11561 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :건축공학과,2018. 2 | - |
| dc.description.tableofcontents | Chapter1.Introduction 01 1.1.Background 01 1.2.Research Objectives 02 1.3.Research Scope and Flow 03 Chapter2.Motivation 06 2.1.Background 06 2.2.Literature Review 07 2.2.1.FM Data Management 08 2.2.2.FM-BIM System 09 2.3. Preliminary Investigation 10 2.3.1.Overview of Empirical Investigation 11 2.3.2.Empirical Investigation Results 11 2.3.3.Implications of the Empirical Investigation 13 Chapter3.Current FM Data Management 14 3.1.Current O&M Data Management 14 3.1.1.O&M Data Structure 14 3.1.2.O&M Data Analysis 15 3.2.Expert Interview on the Current System Limitations 18 3.3.Advancement Path for O&M Data Management 18 Chapter4.LAOMS System Development 20 4.1 O&M Data Structure for Locational-Space-Based Analysis 20 4.2 LAOMS Detailed Description 22 4.3 Systematic Design for LAOMS 24 4.3.1 UML Diagram Design for LAOMS System Logic 24 4.3.2 System Algorithm for LAOMS 25 4.3.3 System Operation Framework for LAOMS 27 Chapter5.LAOMS System Implementation 28 5.1 System Implementation 28 5.2 Expected Scenario from LAOMS Application 36 5.3 In-Depth Expert Interview for Validation 40 Chapter6.Conclusions and Recommendations 43 6.1 Review of Research Objectives 43 6.2 Conclusions 44 6.3 Contributions 45 6.4 Recommendations 46 [References] 47 [Appendix] 50 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | LOCATIONAL-ANALYSIS-BASED OPERATION AND MAINTENANCE DATA MANAGEMENT SYSTEM (LAOMS) USING BUILDING INFORMATION MODELING | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 건축공학과 | - |
| dc.date.awarded | 2018. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 800455 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000027462 | - |
| dc.subject.keyword | BIM | - |
| dc.subject.keyword | Data Management System | - |
| dc.subject.keyword | Data Analysis | - |
| dc.subject.keyword | Locational Space | - |
| dc.subject.keyword | Operation and Maintenance | - |
| dc.description.alternativeAbstract | On account of the long time span of a project, successful data management plays a significant role in the operation and maintenance (O&M) performance of buildings. However, relatively scarce research has been conducted on systematic O&M data management processes or methodologies. Meanwhile, as a fundamental approach to O&M data management, considerable attention has been given to O&M data patterns and trends based on locational spaces. Building information modeling (BIM) can provide an effective data management platform for every stage of building construction, including the O&M phase. One of the greatest advantages of BIM is that the data can be stored in the locational space or object. However, this advantage has not received sufficient attention in the O&M data management field. The main objective of this study is to develop an O&M data management system that employs locational-space-based data analysis using Building Information Modeling (BIM) software (Revit). To achieve this objective, several detailed steps are presented. Firstly, this study confirms the importance of locational-space-based data analysis through a preliminary investigation on current O&M data management practices. Secondly, the limitations of the current O&M data management are disclosed by means of expert interviews and their solution is derived, that is, locational-space-based data analysis. Moreover, a novel O&M data structure and Unified Modeling Language (UML) diagram for development of the system to enable locational-space-based data analysis are designed. Consequently, the prototype of the system is programmed with the C# programming language. Finally, the system is implemented with hypothetical scenarios to demonstrate the improvements of decision making on O&M execution plan (OMEP), and it is validated through in-depth interviews with FM experts. As a pioneering work, this study contributes to a growing area of research by providing an optimal data management methodology for the O&M phase and by developing a practical system to effectively analyze the O&M data based on locational spaces. From the perspective of industry, the results of this research—a locational-analysis-based O&M data management system (LAOMS)—facilitate accurate and effective O&M data analysis and thereby help decision-making in optimal O&M practices for commercial office buildings. Furthermore, the proposed system is expected to contribute to FM performance evaluation by providing an industrial standard database to address O&M problems. | - |
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- Graduate School of Ajou University > Department of Architectural Engineering > 3. Theses(Master)
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