Applications of Digital Twin across Industries: A Review
Применение цифровых двойников в различных отраслях: обзор
2022-06-04
SCID: 54.1/6pf3m7up
Discuss with AI
Industry 4.0digital twinindustrial applicationspredictive maintenancereal-time bidirectional data exchange
Figures from the paper
Abstract (AI)
One of the most promising technologies that is driving digitalization in several industries is Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical twin). What differentiates DT from simulation and other digital or CAD models is the automatic bidirectional exchange of data between digital and physical twins in real-time. The benefits of implementing DT in any sector include reduced operational costs and time, increased productivity, better decision making, improved predictive/preventive maintenance, etc. As a result, its implementation is expected to grow exponentially in the coming decades as, with the advent of Industry 4.0, products and systems have become more intelligent, relaying on collection and storing incremental amounts of data. Connecting that data effectively to DTs can open up many new opportunities and this paper explores different industrial sectors where the implementation of DT is taking advantage of these opportunities and how these opportunities are taking the industry forward. The paper covers the applications of DT in 13 different industries including the manufacturing, agriculture, education, construction, medicine, and retail, along with the industrial use case in these industries.
Key Findings
1
Digital Twin adoption is expected to grow substantially in coming decades as products and systems become more intelligent and data-intensive.
2
Digital Twin is distinguished from simulations and CAD models by automatic bidirectional real-time data exchange between digital and physical entities.
3
Effective integration of growing Industry 4.0 data streams with Digital Twins creates new opportunities for advancing industrial processes and systems.
4
Implementing Digital Twins can reduce operational costs and time while improving productivity, decision-making, and predictive or preventive maintenance.
5
The review examines Digital Twin applications across 13 industries, including manufacturing, agriculture, education, construction, medicine, and retail.
Research Object
Digital Twin (digital replica/model of a physical object) applied across industries
Research Subject
Industry-specific opportunities and benefits of implementing Digital Twins, including operational efficiency, productivity, decision-making, and predictive/preventive maintenance
Publication Details
Publication Date
2022-06-04
Journal
Publisher
ISSN
Cited by
351
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest
References available in scid.ai8
Digital Twin in Industry: State-of-the-Art2019
Digital Twin: Enabling Technologies, Challenges and Open Research2020
A Review of the Roles of Digital Twin in CPS-based Production Systems2017
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications2019
Reengineering Aircraft Structural Life Prediction Using a Digital Twin2011
Digital Twin: Origin to Future2021
Introducing digital twins to agriculture2021
Digital twin-based sustainable intelligent manufacturing: a review2020