臺灣博碩士論文加值系統

The process of external wall tile planning within BIM is time-consuming to be completed. It is due to numerous attributes that need to be created and filled. Therefore, this study creates an attributes creation system for BIM-based external wall tile planning using parametric design. First, this study established the tile database according to the Knowledge Base (KB) and transferred the KB into pattern-matching rules. Second, it developed a system for automatically input, label, and calculate wall tile layout through the connection between BIM and parametric design platform. Third, this research integrated the system with Optical Microscope Algorithm (OMA) to obtain the minimum percentage of truncated tiles. The developed system is completed through five modules, namely import tile database, create tile attributes, input wall tile data, label and calculate tile, and optimize truncated tiles percentage. Then, this study successfully tried the system in the case of an eight-story building. It decreased the truncated tiles percentage to 15.35% for fixed starting points and 15.17% for free starting points. The findings indicate that the system is applicable in external wall tile planning.

The process of external wall tile planning within BIM is time-consuming to be completed. It is due to numerous attributes that need to be created and filled. Therefore, this study creates an attributes creation system for BIM-based external wall tile planning using parametric design. First, this study established the tile database according to the Knowledge Base (KB) and transferred the KB into pattern-matching rules. Second, it developed a system for automatically input, label, and calculate wall tile layout through the connection between BIM and parametric design platform. Third, this research integrated the system with Optical Microscope Algorithm (OMA) to obtain the minimum percentage of truncated tiles. The developed system is completed through five modules, namely import tile database, create tile attributes, input wall tile data, label and calculate tile, and optimize truncated tiles percentage. Then, this study successfully tried the system in the case of an eight-story building. It decreased the truncated tiles percentage to 15.35% for fixed starting points and 15.17% for free starting points. The findings indicate that the system is applicable in external wall tile planning.

ABSTRACT i
ACKNOWLEDGEMENT ii
TABLE OF CONTENTS iv
ABBREVIATIONS AND SYMBOLS vii
LIST OF FIGURES ix
LIST OF TABLES xi
CHAPTER 1: INTRODUCTION 1
1.1 Research Background 1
1.2 Research Objective 4
1.3 Research Scope and Assumption 4
1.4 Research Methodology 5
1.5 Research Outline 8
CHAPTER 2: LITERATURE REVIEW 9
2.1 BIM-Based Parametric Design 9
2.2 Expert Systems for Wall Tile Planning 10
2.3 Related Research 14
2.4 Optical Microscope Algorithm 16
CHAPTER 3: METHODOLOGY 20
3.1 Conceptual Mechanism of Proposed Research 20
3.2 Automated BIM-Based Wall Tile Planning Architecture 21
3.2.1 Tile Database Establishment Phase 23
3.2.2 BIM Parametric Design Phase for Tile Detailing 24
3.2.3 BIM-Based Tile Detailing Phase 25
3.2.4 Optimization Phase of Tile Planning 26
3.3 Tile Database Establishment 26
3.3.1 Compile Knowledge Resources 26
3.3.2 Knowledge Base Creation 30
3.3.3 Establish Pattern-Matching Rules 37
3.4 BIM Parametric Design for Tile Detailing 38
3.4.1 Develop BIM Model 38
3.4.2 Import Tile Database 38
3.4.3 Create BIM Attributes for Tile Planning 40
3.5 BIM-Based Tile Detailing 41
3.5.1 Input Wall Tile Data 41
3.5.2 Start Wall Tile Detailing 41
3.5.3 Label and Calculate Wall Tile Detailing 45
3.6 Optimization of Wall Tile Planning 46
3.6.1 Termination Criteria 46
3.6.2 OMA Searching 46
3.6.3 Obtain Optimal Wall Tile Detailing 47
CHAPTER 4: SYSTEM PLANNING AND DEVELOPMENT 49
4.1 System Development 49
4.1.1 System Architecture 49
4.1.2 System Functions 50
4.2 System Demonstration 52
4.2.1 Develop BIM Model 52
4.2.2 Import Tile Database 54
4.2.3 Create BIM Attributes for Tile Planning 55
4.2.4 Input Wall Tile Data 57
4.2.5 Start Wall Tile Detailing 58
4.2.6 Label and Calculate Wall Tile Detailing 59
4.2.7 Obtain Optimal Wall Tile Detailing 62
4.3 Result Comparison 66
CHAPTER 5: CONCLUSION AND RECOMMENDATION 67
5.1 Conclusion 67
5.2 Recommendation 68
REFERENCES 70
APPENDIX A: KNOWLEDGE BASE 74
APPENDIX B: PLANNING RESULT 79

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