Practically, the discovered knowledge of carbon emission characteristics can be visualized in a digital twin. This study focused on achieving the carbon peaking and carbon neutrality goal. A carbon emission calculation method based on the entire process of excavation construction and the emission factor method for the foundation pit
The digital twin aids in the planning and execution of transport infrastructure enhancements, such as the construction of new roads or public transit lines, by modelling various scenarios.
The study conducts a systematic review of digital twin studies with demonstrative case studies or experimental setups to identify the current technologies
Other digital technologies like BIM and Blockchain were not included in the keywords since the study mainly focused on digital twin application in the construction industry. Other studies [ 4, 6, 73 ] have mostly carried out reviews on BIM and Blockchain in the construction industry and their inclusion will only be a repetition.
In this step, a content analysis was conducted to ascertain the origin, concept and technologies for digital twins, the status of digital twin application in the
A digital twin is a virtual representation of an object or system that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making [4]. In 2020, a systematic literature review study [5] focused on
This paper also showcases the feasibility of implementing Digital Twins by offering a case study that showcases the usage of Digital Twins of a construction project throughout its lifecycle from the perspective of the
A digital twin supports our design processes, construction operations, seamless handover, proactive maintenance, and predictive operations planning by visualising multiple data streams in a single system that can be interpreted
This study adopts a systematic literature review analysis focusing on case studies on digital twin models, highlighting the practical steps in developing a digital twin and the
Digital twin data is multi-source and of high volume requiring big data storage technologies [ 24 ]. The selection of a storage database depends on the accessibility, scalability, high-performance and management capability of massive data. The studies mostly used cloud-based computing platforms for data storage.
With a focus on the automation of construction, this paper presents a literature review and overview of how digital twins can be used in construction and
This study adopts a systematic literature review analysis focusing on case studies on digital twin models, "Construction with digital twin information systems," Data-Centric Eng., vol. 1
This Off-site Construction Digital Twin assessment framework has three goals: 1. to identify the differences in Digital Twins between the manufacturing and off-site construction industries; 2. to
The case realized continuous, scheduled integration of static data and dynamic data of more than 20 management systems from the design, construction, pre-O&M phase up to the O&M phase.
PDF | A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integrate artificial intelligence, machine learning | Find, read and cite all the
21 Feb. 6 Case Studies on Digital Twins. Digital twins are virtual representations of the real world including physical objects, processes, relationships, and behaviors. Geographic information system technology
Due to the high-fidelity mapping of the physical buildings and the intelligent performance shown in their lifecycle, digital twins (DTs) have gained increasing attention in the building sector. Although digital twins based on building information modeling (BIM) have become a hot research topic, existing works emphasize the digitization of building
t "The Gemini Principles" by the Centre for Digital Built Britain. The paper further puts forwards six propositions on the city-level digital twin agenda, which stem from an ongoing research project on smart ci. ies at the Cambridge Centre for Smart Infrastructure and Construction. It is argued that the development of a digital twin is
A digital twin (DT) refers to a digital replica of physical assets, processes, and systems. DTs integrate artificial intelligence, machine learning, and data analytics to create living digital simulation models that are able to learn and update from multiple sources as well as represent and predict the current and future conditions of physical
Digital Twin Hub launch (2019), a web-enabled community for early adopters of digital twins to learn through sharing and progress by doing; Flourishing Systems (2020), a paper advocating a shift in vision for infrastructure that is people-focused and system-based.
And this is driving adoption. One company recently demonstrated that using digital twins to build more advanced semiconductor components could reduce its design process by 30%. Altum RF specializes in high-performance radio frequency (RF) semiconductor components for applications like 5G networks and aerospace and
The case study of developing a dynamic DT in a building level was conducted at west Cambridge site and used Institute for Manufacturing (IfM) as the target area. This research is led by the asset management group at
Digital Twinning for Productivity Improvement Opportunities with Robotic Process Automation: Case of Greenfield Hospital. International Journal of Mechanical Engineering and Robotics Research, 9(2), 258–263.
Concepts such as the Internet of Things, big data, cloud computing, and cyber-physical systems support new scenarios for further research and application on the Industry 4.0 initiative. One of the most promising ones is the digital twin applied to the shop floor. In this work-in-progress paper, we briefly review fundamental concepts and definitions and
will enable the UK''s infrastructure to be viewed as an interdependent, dynamic system". This review would mainly be conducted from the perspective of data ma. allenges and requirements of DT development in building levels.2.1 Data integration in DTsTo realise a DT poses various data management challenges; espec.
This paper presents an exploratory investigation into the cost and benefits of DT implementation in the construction industry from the perspective of early adopters. Interviews with these adopters revealed that beyond the initial software and hardware cost, there are significant costs related to staff training, implementation time, and employer
This paper presents a comprehensive understanding of current digital twin (DT) implementations in the construction industry, along with providing an overview of technologies enabling the operation of DTs in the industry. To this end, 145 publications were identified using a systematic literature review. The results revealed eight key areas
Off-site construction is an innovative type of construction with the philosophy of standardizing the process and deploying the latest technological enablers. Many technologies, such as the Building Information Model (BIM), Internet of Things (IoT), etc., are concerned with virtual representation and manipulation of the physical site.
Case Study: Digital Twinning in Construction 2022. Available online: https://
1. Improved construction resource management. The use of digital twins can improve the procurement process and ease supply chain holdups, fostering harmonization between the current progress and future deliverables and helping construction firms better allocate resources and physical assets. 2. Easier
Digital Twin technology is becoming a global area of research where researchers cover Digital Twin implementation on various aspects of intelligent vehicles and explore its potential, opportunities, and challenges to the realization [42]. Digital Twin technology is also widely embraced in the aerospace industry.
Figure 1 Digital Twin Paradigm. the physical system in question (Grieves and Vickers 2017). The main DT components (as shown. in Figure 1) are the: (1) physical component, (2) virtual model, and (3) data that connects the. components. The data flow from the physical component to the virtual model is raw and requires.
digital twin: a case study in a healthcare facility. Journal of Information Technology in Construction (ITcon), Vol. 28, pg. 107-137, DOI: 10.36680/j con.2023.006
This study is one of the most comprehensive studies in the literature related to automotive production; therefore, it puts forth the power of using digital twin technology in that area. As the result of this case study, a 6.01% increase in the commercial production line efficiency and an 87.56% gain for downtime are achieved.
To address this issue, this paper explores the use of digital twins in construction processes. It discusses the use cases of digital twins and their potential application in construction contexts. It is observed that sequencing tasks/processes, navigation, forecasting, and setting up data-enriched 3D models to simulate
The main aim of this paper is to present an innovative approach to addressing the challenges of smart mobility exploiting digital twins within the METACITIES initiative. We have worked on this issue due to the increasing complexity of urban transportation systems, coupled with the urgent need to improve efficiency, safety, and
The use of digital twin for structural object description and simulation has been proven to be highly accurate, fast updating, and well automated. This chapter attempts to develop a digital twin–based method for the construction control of machining precision and
Further research has also been conducted in the use of Digital Twin in aiding healthcare facility management (Song and Li, 2022), construction safety (Shariatfar et al., 2022), and audio-based