Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure
Challenges, Opportunities and Practices
- 216 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure
Challenges, Opportunities and Practices
About this book
This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Preface
- Acknowledgements
- Contents
- List of Figures
- List of Tables
- About the Contributors
- Acronyms
- Introduction
- 1. Enabling Technologies for Cognitive Digital Twins Towards Construction 4.0
- 2. Synopsis of Construction 4.0-based Digital Twins to Cognitive Digital Twins
- 3. Integration of Digital Twins, Blockchain and AI in Metaverse: Enabling Technologies and Challenges
- 4. AI-Driven Digital Twins for Predictive Operation and Maintenance in Building Facilities
- 5. Knowledge Graph-based Approach for Adopting Cognitive Digital Twins in Shop-floor of Modular Production
- 6. Improving Sustainability in the Built Environment through a BIM-based Integration of Digital Twin and Blockchain: An Analysis of Prefabricated Modular Construction
- 7. Digital ID Framework for Human-Centric Smart Management of the Indoor Environment
- 8. Semi-Autonomous Digital Twins to Support Sustainable Outcomes in Construction 4.0
- 9. Cognitive Digital Twin Framework for Life Cycle Assessment Supporting Building Sustainability
- Index
- About the Editor