Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure: Challenges, Opportunities and Practices

This book explores the use of Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure, focusing on challenges and opportunities. It introduces a Knowledge Graph-centric framework with process modeling, simulation, analytics, and interfaces for data operability. It discusses the integration of IoT, Big data, AI, smart sensors, machine learning, and communication technologies for autonomous real-time interpretation and decision-making support. The book provides insights into critical domains such as maintenance of complex engineering assets and offers a valuable reference for researchers and practitioners.

Format: Hardback
Length: 216 pages
Publication date: 17 July 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the realm of Cognitive Digital Twins, offering valuable insights into the smart lifecycle management of built environments and infrastructure. By integrating diverse data from various resources, it empowers data-driven cognitive systems to adapt algorithms and facilitate the understanding of complex and unpredictable behavior. These Digital Twins incorporate cognitive features, enabling the sensing and reasoning of dynamic strategies for process optimization, supporting decision-making in the lifecycle management of the built environment and infrastructure.

The book introduces a Knowledge Graph (KG)-centric framework for Cognitive Digital Twins, encompassing process modeling and simulation, ontology-based Knowledge Graphs, analytics for process optimizations, and interfaces for data operability. It showcases the contributions of Cognitive Digital Twins in integrating IoT, Big data, AI, smart sensors, machine learning, and communication technologies, all interconnected within a novel paradigm of self-learning hybrid models with proactive cognitive capabilities.

The book presents 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 the maintenance of complex engineering assets in the built environment and infrastructure. It serves as an essential resource for researchers, planners, designers, developers, and ICT experts seeking to stay abreast of the state-of-the-art research and advancements in the field of Cognitive Digital Twins. Additionally, it provides valuable guidance for those involved in the development and implementation of these innovative solutions.

Weight: 600g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032136264