Building Information Modeling for a Smart and Sustainable Urban Space. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Техническая литература
Год издания: 0
isbn: 9781119885467
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      1  Cover

      2  Title Page

      3  Copyright

      4  Preface

      5  Acknowledgments

      6  List of Acronyms

      7  Introduction General context Scientific contribution to this book Book structure Target audience References

      8  1 BIM: A New Paradigm 1.1. Introduction 1.2. History of BIM 1.3. BIM: A meta concept 1.4. BIM: Between technology and process 1.5. BIM in the lifecycle of a building 1.6. Some transversal uses of BIM 1.7. BIM dimensions and levels of detail 1.8. BIM maturity and capability 1.9. Conclusion 1.10. References

      9  2 Which Data Sources for the BIM Model? 2.1. Introduction 2.2. Multiple sources for the 3D digitization of urban space 2.3. Approaches for 3D data production 2.4. Integration of multi-source data 2.5. General discussion 2.6. Conclusion 2.7. References

      10  3 Development of the BIM Model 3.1. Introduction 3.2. Issues around 3D urban models 3.3. Semantics of 3D urban models 3.4. From the point cloud to the 3D model 3.5. 3D reconstruction of the BIM model 3.6. Conclusion 3.7. References

      11  4 Open BIM Standards 4.1. Standardization bodies 4.2. Data models for multi-scale BIM 4.3. Conclusion 4.4. References

      12  5 GeoBIM: Towards a Convergence of BIM and 3D GIS 5.1. Introduction 5.2. The GeoBIM concept 5.3. Some applications of GeoBIM 5.4. BIM and GIS: similarities and differences 5.5. BIM and GIS integration 5.6. IFC and CityGML conversion 5.7. BIM georeferencing 5.8. Conclusion 5.9. References

      13  6 BIM and 3D GIS Integration for Real Estate Valuation 6.1. Introduction 6.2. Real estate valuation: concepts, approaches and standards 6.3. BIM and 3D GIS for real estate valuation 6.4. BIM-3D GIS integration: a new paradigm for real estate valuation 6.5. Examples of BIM and 3D GIS simulations for real estate valuation 6.6. Conclusion 6.7. References

      14  7 Semantic Segmentation of Airborne LiDAR Data for the Development of an Urban 3D Model 7.1. Introduction 7.2. From semantic segmentation to 3D modeling 7.3. Semantic segmentation by Deep Learning 7.4. Development of an urban 3D model 7.5. Conclusion 7.6. References

      15  8 BIM for the Renovation of Urban Spaces 8.1. Introduction 8.2. Urban space: problems and dysfunctions 8.3. Urban renewal approaches 8.4. BIM/CIM for urban renewal 8.5. Renovation process 8.6.