| 1. |
- Jaryani, S., et al.
(author)
-
Exploring the Fusion of Knowledge Graphs into Cognitive Modular Production
- 2023
-
In: Buildings. - : MDPI. - 2075-5309. ; 13:9
-
Journal article (peer-reviewed)abstract
- Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital twins (DTs), artificial intelligence (AI), and Internet of Things (IoT) technologies into modular production systems. This fusion would imbue these systems with perception and decision-making capabilities, enabling autonomous operations. However, the efficacy of this approach critically hinges upon the ability to comprehend the production process and its variations, as well as the utilization of IoT and cognitive functionalities. Knowledge graphs (KGs) represent a type of graph database that organizes data into interconnected nodes (entities) and edges (relationships), thereby providing a visual and intuitive representation of intricate systems. This study seeks to investigate the potential fusion of KGs into CMP to bolster decision-making processes on the production line. Empirical data were collected through a computerized self-administered questionnaire (CSAQ) survey, with a specific emphasis on exploring the potential benefits of incorporating KGs into CMP. The quantitative analysis findings underscore the effectiveness of integrating KGs into CMP, particularly through the utilization of visual representations that depict the relationships between diverse components and subprocesses within a virtual environment. This fusion facilitates the real-time monitoring and control of the physical production process. By harnessing the power of KGs, CMP can attain a comprehensive understanding of the manufacturing process, thereby supporting interoperability and decision-making capabilities within modular production systems in the industrialized building industry.
|
|
| 2. |
- Yitmen, Ibrahim, et al.
(author)
-
Enabling Technologies for Cognitive Digital Twins Towards Construction 4.0
- 2023
-
In: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure. - : CRC Press. - 9781003230199 ; , s. 1-19
-
Book chapter (peer-reviewed)abstract
- The Digital Twins (DTs) are introduced as part of the next level of process automation and control towards Construction 4.0 in the Architecture, Engineering, and Construction (AEC) industry to move the industry into the digital transformation era. DT is a vital enabling technology of construction 4.0 which has been widely applied in various industries to cover multiple lifecycle phases of systems, processes, and products. On the other hand, the Cognitive Digital Twin (CDT) concept, which is the next generation of DTs, has recently developed and reveals a prospective progression of the current DT concept toward a more intelligent, comprehensive, and full-lifecycle representation of complex systems. This chapter reviews previous studies pertinent to the CDT concept, its definitions, characteristics, and its required technologies.
|
|
| 3. |
- Yitmen, Ibrahim, et al.
(author)
-
Integration of Digital Twins, Blockchain and AI in Metaverse Enabling Technologies and Challenges
- 2023
-
In: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure. - : CRC Press. - 9781003230199 ; , s. 39-64
-
Book chapter (peer-reviewed)abstract
- The Metaverse is the post-reality universe, a perpetual and persistent multiuser environment merging physical reality with digital virtuality. It is based on the convergence of technologies that enable multisensory interactions with virtual environments, digital objects, and people, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR). Due to the "Internet of Everything's" paradigm shift from big data to decentralized small data, blockchain technology will be critical in achieving the metaverse at mobile edge networks. On the other hand, combining Artificial Intelligence (AI) and blockchain with the metaverse poses significant research hurdles as of the characteristics of digital commodities and marketplaces, transaction volumes in metaverse systems are substantially greater compared to the physical world. This chapter discusses the integration of Digital Twin (DT), Blockchain, and AI into the Metaverse, emphasizing enabling technologies and difficulties. It enables seamless embodied user communication in real-time and dynamic interactions with digital artifacts.
|
|
| 4. |
- Yitmen, Ibrahim, et al.
(author)
-
Knowledge Graph-based Approach for Adopting Cognitive Digital Twins in Shop-floor of Modular Production
- 2023
-
In: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure Challenges, Opportunities and Practices. - : CRC Press. - 9781003230199 ; , s. 79-100
-
Book chapter (peer-reviewed)abstract
- Digital Twins (DT) is an emerging technology that helps activities in process simulation, monitoring, and control as well as develops insights on process parameter relationships to achieve high quality AEC activities. As an evolution, CDTs make use of technologies and services designed to give DTs cognitive skills similar to those of humans. On the other hand, the knowledge graph powered by cognition may be used to multi-source heterogeneous data of customized items to achieve autonomous data fusion. This chapter provides the framework for the cognitive modular production paradigm by detailing a data representation technique based on a knowledge graph that can be utilized to enable reasoning and decision-making via graph embedding. The data from the Industrial Internet of Things (IIoT) is combined using an internal knowledge tree with many layers. The cognitive module receives the device's process knowledge and analyzes it for the whole line in order to predict the device's perception and cognition actions. These reactions are made feasible through the use of perception and cognitive systems. This chapter presents an IIoTs-enabled knowledge graph-based data representation approach for cognitive modular production and focuses on how to construct a shop-floor CDT and implementation process using Model-based Systems Engineering (MBSE).
|
|
| 5. |
- Yitmen, Ibrahim, et al.
(author)
-
Synopsis of Construction 4.0-based Digital Twins to Cognitive Digital Twins
- 2023
-
In: Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure. - : CRC Press. - 9781003230199 ; , s. 20-38
-
Book chapter (peer-reviewed)abstract
- With current enabling technologies and cutting-edge applications and implementations of Digital Twin (DT) in the Architecture, Engineering, and Construction (AEC) industry, there are still various significant knowledge gaps that must be addressed through continuing study to make DT more capable, dependable, and practical in real-world applications. Recent years have seen a rise in the use of deep learning (DL) technologies in conjunction with advanced semantic modelling technologies in empowering DT with cognition capabilities. The notion of Cognitive Digital Twin (CDT) has emerged in numerous recent studies and is regarded as a potential development trend for the field of DT. The purpose of this chapter is to study Construction 4.0-based Digital Twins and to examine the CDT's vision and characteristics.
|
|
