An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management

Yitmen, İbrahim; Alizadehsalehi, Sepehr; Akıner, İlknur; Akıner, Muhammed Ernur

doi:10.3390/app11094276

Cited by 99 publications

(64 citation statements)

References 52 publications

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“…This is one of the few approaches to date that has shifted towards a maturity level of 3 by real-time data integration with the physical DT model of the building. Some researchers recently brought the DT concept even further [45] by building so-called cognitive digital twins (CDTs) with the purpose of incorporating cognitive abilities to detect complex and unpredictable actions and reason about dynamic process optimization strategies to support decision making in building lifecycle management (BLM). The study relied on surveys with industry experts to focus on the lifecycle applicability and the integration of the CDT model in practice.…”

Section: Building Information Modelsmentioning

confidence: 99%

Digital Twin Technology Challenges and Applications: A Comprehensive Review

et al. 2022

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A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decision making, complex systems monitoring, product validation and simulation and object lifecycle management. As an emergent technology, its widespread implementation is increasing in several domains such as industrial, automotive, medicine, smart cities, etc. The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in engineering and beyond.

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Section: Building Information Modelsmentioning

confidence: 99%

Digital Twin Technology Challenges and Applications: A Comprehensive Review

et al. 2022

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“…To computerize and automate the AEC industry, Yitmen et al [30] proposed Cognitive Digital Twins (CDT) that enable the detection of complex actions to optimize processes for decision support in building lifecycle management.…”

Section: Preliminary Study Of Tools and Techniques For Digital Innova...mentioning

confidence: 99%

Framework for Computerizing the Processes of a Job and Automating the Operational Management on Site—A Case Study of Demolition and Reconstruction Construction Site

et al. 2022

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With regard to the topic of digitization for operational site control, it is clear that while there is an acceleration towards digitization of processes, especially complex ones, there are still clear research gaps to be filled. The present study is part of this line of research and aims to respond to the current demand for digital and sustainable innovation of production processes. It, therefore, aims at defining a framework for the management of an order that takes place in real time. In order to improve the quality of information and organizational processes of an order in a project-oriented logic, a framework has been created: Model Smart Management. The framework integrates project management techniques with digital innovation tools and includes a computerized procedure to monitor and control the operational management of the site: SmartApp. In order to allow the interoperability of information, the platform can be used entirely in the cloud. From the processing of data in the planning phase, ad hoc checklists are developed that include a series of activities closely related to each other to ensure a continuity step by step, allowing users to have an immediate control of the project and of the relevant key performance indicators thanks to an advanced and fully customizable reporting. SmartApp, integrated with a cloud computing system, makes computerized and automated the operational control on site, creating a centralized archive of all company data, reducing time and costs for the management of documentation. Moreover, with the omnichannel system, paper documents are managed and archived through QR-code, optical character recognition on smart devices, so as to achieve a regime of maximum efficiency. This framework was then applied in a case study located in L'Aquila, Italy, represented by a post 2009 earthquake demolition and reconstruction site.

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“…The advancement of the modern times of technology is increasing the amount of data collected in a number of industrial sectors including Architecture, Engineering, and Construction (AEC) projects [13]. With the passage of time, handling, collection, management, analysis and optimization of data is getting difficult.…”

Section: B Physical To Digital Twin Interoperabilitymentioning

confidence: 99%

Building a Digital Twin for Industrial Internet of Things with Interoperability

Khan

Tsiga

Ghanem

2022

2022 Moscow Workshop on Electronic and Networking Technologies (MWENT)

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For Internet-of-Things (IoT), 6G, interconnected world, high technological demand, big data and complexity is increasing the requirement of new algorithm designs, protocols and improvement in the existing systems. The fancy IoT term has started to evolve from academics to real life implementation. Tremendous number of organizations and industries require their systems to be upgraded. Industries, however, are in high need for the technological improvement due to the amount of data collected every day. The collection of data is meaningless without being analysed. A stand-alone industry with high amount of OT devices cannot efficiently deal with the data and its analysis, which bring the need for OT/IT convergence and digital twin in industries.This paper proposes the steps to build a Digital Twin (DT) for one of the Industrial Internet of Things (IIoT) setup. These steps include the collection of data on the site from OT devices, processing of data near site, OT/IT convergence, uploading of data to the cloud or the wireless transmission of data and interoperability between the physical and DT. Within the processing of data, finding of implementation, some iterations for distributed and parallel computation, and the data processing method are also proposed.

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An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management

Cited by 99 publications

References 52 publications

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Framework for Computerizing the Processes of a Job and Automating the Operational Management on Site—A Case Study of Demolition and Reconstruction Construction Site

Building a Digital Twin for Industrial Internet of Things with Interoperability

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