Related references
Note: Only part of the references are listed.
Review
Chemistry, Analytical
Elia Henrichs et al.
Summary: The food industry faces various challenges and digital twin technology offers a promising solution. Currently, digital twins are mainly used in food production and processing for monitoring and prediction. Implementing digital twin technology requires addressing the challenges of integrating multidisciplinary knowledge and obtaining sufficient data. However, digital twins have significant potential in determining food quality, traceability, and designing personalized foods.
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Zaheer Allam et al.
Summary: The '15-minute city' concept can benefit from the adoption of Smart City network technologies, particularly Digital Twins, IoT, and 6G, to support urban decision-making processes and align with sustainable development goals.
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Environmental Sciences
Ahyun Lee et al.
Summary: This study proposes a geospatial platform based on Unity3D engine for managing large-scale individual mobility data in urban digital twin models. The platform can store and manage individual vehicle or pedestrian information from closed-circuit television, as well as generate long-term route information for unique vehicles. Safety measures such as license plate anonymization and individual mobility data compression are also proposed.
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Environmental Sciences
Ursula Kaelin et al.
Summary: A novel tracking system is developed to validate the accuracy and reliability of onboard sensors for object detection and localization in realistic conditions. The system can determine the position and orientation of a vehicle, meeting certain pose requirements, and allowing for flexible installation in different environments.
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Green & Sustainable Science & Technology
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Summary: This paper provides an overview of the implementation of Digital Twin technology in electric vehicle propulsion drive systems. It reviews the technology and compares different simulation technologies, with a particular focus on the adaptation of Digital Twin technology for EV propulsion drive systems.
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Alexander Kaiblinger et al.
Summary: This paper focuses on the application of Digital Twins (DTs) in production logistics. The authors discuss the definitions, characteristics, and functionalities of DTs, and review current developments and implications. They also evaluate case studies and identify research gaps and potential directions for future research in the field of production logistics in manufacturing enterprises.
APPLIED SCIENCES-BASEL
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Vladimir Vavrik et al.
Summary: This article presents the results of machine backup designing in reconfigurable industrial processes. The development of manufacturing systems is moving towards intelligent, automated, autonomous, and reconfigurable manufacturing systems. Factories that want to ensure long-term sustainable and competitive manufacturing processes must design their processes to respond flexibly to changing customer requirements. The article introduces concepts such as cold backup and warm backup machines and discusses the relationship between indicators such as time between faults and repairs. The materials and methods section describes the prerequisites for creating a product family and the availability of resources, and provides formulas, simulation models, and verification for creating product families. The results section describes the calculations and use of backups and product families in reconfigurable manufacturing systems. The developed methodology for line design utilizes reconfiguration principles and advanced approaches in factories. The rapid integration of disruptive technologies and approaches into manufacturing systems will be a significant milestone. The complexity of future manufacturing systems in the Factories of the Future can only be achieved with innovative factory technologies using the digital twin.
APPLIED SCIENCES-BASEL
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Agronomy
Fabian Weckesser et al.
Summary: Farmers and consultants face a vast amount of knowledge and information for crop management decisions. This study presents a digital knowledge base with an integrated decision support system to help improve fertilization decisions for farmers and consultants.
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Tat Nghia Nguyen et al.
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Xuan Fang et al.
Summary: This paper proposes a mixed traffic simulation framework to evaluate the effect of introducing automated vehicles on the motorway. By simulating different penetration rates of automated vehicles, it is found that mixed traffic can reduce the negative impact on traffic performance, and high penetration of automated vehicles has good driving stability and less travel delay.
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Zoltan Ferenc Magosi et al.
Summary: In recent years, the verification and validation processes of automated driving systems have shifted towards virtual simulation. This paper presents a practical process for evaluating sensor models based on low-level data.
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Energy & Fuels
Bhaskar P. Rimal et al.
Summary: The Internet of Vehicles (IoV) is the next big leap in smart grids and city sectors for a sustainable society. The decentralized and complex grid edge faces challenges, and a reliable communications infrastructure is vital. The fourth industrial revolution offers new ways to tackle these challenges and maximize the benefits of power grids.
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Environmental Sciences
Diego M. Botin-Sanabria et al.
Summary: A digital twin is a virtual representation of a physical object or process that collects information from the real environment to validate and simulate its present and future behavior. It plays a crucial role in data-driven decision making, complex systems monitoring, product validation and simulation, and object lifecycle management.
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Chemistry, Multidisciplinary
Hans-Henrik Benzon et al.
Summary: This study presents a novel methodology to create an operational Digital Twin for large-scale structures based on drone inspection images. The methodology involves comparing reconstructions and original designs to identify geometric deviations and production tolerances, as well as using an AI algorithm to detect and classify paint defects/damages. The developed functionalities allow for regular updates of the Digital Twin using inspection images.
APPLIED SCIENCES-BASEL
(2022)
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Chemistry, Multidisciplinary
Wenjie Han et al.
Summary: This article proposes a digital twin-based dynamic AGV scheduling method that solves the charging and task execution problem in traditional AGV scheduling systems through the use of virtual reality and fusion features, effectively improving workshop efficiency.
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Tareq Salem et al.
Summary: This study reviews the literature on construction project management through the lens of digital twins and proposes a framework for analyzing and supervising the development of digital twins to improve operational results.
APPLIED SCIENCES-BASEL
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Georgios Tsaramirsis et al.
Summary: Industry 4.0 is a major industrial revolution that will fundamentally transform our lives. It relies on various pillar technologies such as Internet of Things, artificial intelligence, machine learning and big data, as well as advancements in computing, nanotechnology, biotechnology, materials, energy and cube satellites. We have demonstrated the integration of these technologies and the advancements in manufacturing through a model factory.
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Jonatan H. Loaiza et al.
Summary: This article discusses the challenges of implementing digital twin technology in the manufacturing industry and applies systems thinking techniques to analyze and refine these problems. It introduces various methods and tools for studying and solving these issues.
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Engineering, Electrical & Electronic
Joel Mattila et al.
Summary: This paper investigates the utilization of digital twin documents in smart factory communication. A proof-of-concept simulation model of a smart factory was implemented, and it was found that decentralized peer-to-peer control is the most suitable for smart factories.
Review
Business, Finance
Muhammad Anshari et al.
Summary: This research examines the concept of a robo-advisor with digital twin capabilities for personal financial management and develops an interactive and interpretive model that analyzes the critical variables for designing the next level of financial robo-advisor. It explores the concept of digital twin as the next frontier of robo-advisor and its potential for personalized financial technology services and management.
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Jinho Yang et al.
Summary: This study presents a digital twin-based integrated reconfiguration assessment application that synchronises with real-time manufacturing data and provides accurate, automated simulation functionality. The effectiveness of the application was verified through its application to an automotive parts production line, demonstrating faster and more accurate reconfiguration assessments compared to existing methods.
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Antreas Kantaros et al.
Summary: This work summarizes and reviews the current trends and limitations in digital twins (DTs) for additive manufacturing, proposing DTs as a solution to improve the fabrication of items, service systems, and production lines.
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Cheng Qian et al.
Summary: The Internet of Things (IoT) allows for effective monitoring and control of physical systems by connecting smart devices and utilizing machine learning and deep learning techniques. Creating a Digital Twin (DT) as a cyber replica of a physical system offers a viable strategy to mitigate the risks of directly manipulating real systems. However, designing and representing a DT poses challenges to networking, computing, and data analytics in IoT, and also requires considering exceptional requirements. The thoughtful design of DTs provides opportunities for novel and interdisciplinary research efforts.
Review
Chemistry, Analytical
Abozar Nasirahmadi et al.
Summary: Digitalization has revolutionized the agricultural sector, enabling the application of advanced technologies and data processing techniques. Digital farming uses available information to tackle challenges in food security, climate protection, and resource management. The concept of digital twin has great potential in enhancing productivity and efficiency in agriculture. This review presents a framework of digital twins in various aspects of agriculture, such as soil, irrigation, robotics, farm machineries, and food post-harvest processing, and discusses the use of artificial intelligence, big data, and simulation in digital twins for agriculture.
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Alexandru Prisacaru et al.
Summary: The study uses piezoresistive silicon stress sensors to monitor internal stresses in electronic packages, and utilizes machine learning and surrogate models to predict out of plane stresses in delaminated regions. Through experiments and simulations, results consistent with scanning acoustic microscope images are obtained.
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Health Care Sciences & Services
Maged N. Kamel Boulos et al.
Summary: A digital twin is a virtual model of a physical entity, increasingly used in various industry sectors. In the fields of medicine and public health, digital twin technology can drive radical transformation towards precision medicine and personalized treatments. Digital twins enable learning, discovering new knowledge, and hypothesis generation, while also playing a key role in formulating highly personalized treatments and interventions.
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Benno Gerlach et al.
Summary: The study conducted a systematic literature review of 66 articles on digital supply chain twins to identify their application areas and specific use cases in logistics and supply chain management. It resulted in a unified definition of digital supply chain twins and their potential application scopes, as well as the synthesis of five application areas and 14 individual use cases. This research contributes to a conceptual clarification of digital supply chain twins and provides up-to-date use cases for guiding practical applications.
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William Hurst et al.
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Zhaolong Zhang et al.
Summary: Digital twinning technology, originating in aerospace, offers high accuracy, real-time performance, and scalability through real-time bidirectional data interaction. This study introduces digital twin technology to electric vehicle energy consumption research, establishing and optimizing a consumption model to predict vehicle energy consumption.
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