scholarly journals How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4919
Author(s):  
Monika Kosacka-Olejnik ◽  
Mariusz Kostrzewski ◽  
Magdalena Marczewska ◽  
Bogna Mrówczyńska ◽  
Paweł Pawlewski
Keyword(s):  
Material Flow ◽  
Material Handling ◽  
Research Area ◽  
Research Trends ◽  
Transport Systems ◽  
Future Research ◽  
Major Research ◽  
Digital Twin ◽  
Digital Twins ◽  
Internal Transport

In the Industry 4.0 era, the Digital Twin has become one of the most promising enabling technologies supporting material flow. Although the literature on the Digital Twin is becoming relatively well explored, including a certain number of review papers, the context of the Digital Twins application in internal transport systems has not been investigated so far. This paper thoroughly reviews the research on the Digital Twins applied in internal transport systems concerning major research trends within this research area and identification of future research directions. It provides clarification of various definitions related to the Digital Twin concept, including misconceptions such as a digital shadow, a digital model, and a digital mirror. Additionally, the relationships between terms such as material handling, material flow, and intralogistics in the context of internal transport systems coupled with the Digital Twin are explained. This paper’s contribution to the current state of the art of the Digital Twins is three-fold: (1) recognition of the most influential and high-impact journals, papers, and researchers; (2) identification of the major research trends related to the Digital Twins applications in internal transport systems, and (3) presentation of future research agendas in investigating Digital Twins applied for internal transport systems.

scholarly journals Disruptive Technologies for Efficient and Sustainable Smart Cities

2021 ◽  
pp. 47-64
Author(s):  
Dipak S. Gade
Keyword(s):  
Data Analysis ◽  
Smart Cities ◽  
Rapid Development ◽  
Real Life ◽  
Research Area ◽  
Future Research ◽  
Research Papers ◽  
Digital Twins ◽  
New Findings ◽  
Operations And Maintenance

Purpose: The most active and rapid development in today's world is happening in Smart cities. Smart Cities are changing very fast in every aspect, be it development, operations, and or maintenance points of view. Today's Smart Cities are aiming to be at an advanced stage of urbanization and fully exploiting digital infrastructure for rapid urban development. In order to make the cities better places to live and to offer more comfortable and enjoyable living for their residents, Smart Cities are using and employing various tools and technologies to make themselves smarter and more connected with their stakeholders using technology means. Industry 4.0, Digital Transformation, and various latest technologies such as 5G, Data Analytics, IoT, AI, and Machine Learning, Digital Twins, etc. are transforming and shaping up Smart Cities in never before style. In this paper, various such key technologies that are positively affecting Smart Cities are discussed at length. It is also highlighted in detail how these technologies are impacting Smart Cities development and operations. Finally, future research directions are also discussed in brief. Design/Methodology/Approach: Extensive exploration of available literature with research papers, conference papers, white papers, online blogs, dedicated websites, etc. on the research area and interactions with field researchers, subject matter experts, industry professionals is carried out to collect, analyse and process the collected data to find out the facts. The resulted facts and findings about the latest technologies used in Smart Cities is presented in this research paper. Findings/Result: After analysis of available literature and based on interactions with relevant stakeholders and based on own data analysis, it is identified that Smart City services are making use of various latest tools and technologies to solve their real-life challenges. Among vast list of technologies specifically IoT, Blockchain, Digital Twins, 5G, Contactless Technology, AI and ML are found the most significant and widely used technologies in Smart Cities development, operations, and maintenance activities. Originality/Value: It is found that not many research papers are available on analysis of future technologies used in Smart Cities. The data presented in this paper is genuine and original and completely based on systematic literature review, interactions with SME, Researchers and Industry experts and based on own data analysis which produced new findings. Paper Type: Technology oriented Research

scholarly journals Simulation modelling of material handling using AGV

2021 ◽  
Vol 1199 (1) ◽  
pp. 012015
Author(s):  
M Dobrzanska ◽  
P Dobrzanski
Keyword(s):  
Material Handling ◽  
Production Systems ◽  
Simulation Modelling ◽  
Automated Guided Vehicles ◽  
Operating Costs ◽  
Transport Systems ◽  
Internal Transport

Abstract Modern production systems are mainly characterized by, among others, the use of automated transport systems. One of the components of such transport systems are automated guided vehicles (AGV). These vehicles are primarily used in the material handling due to their greater efficiency, flexibility and lower operating costs. The main aim of the article is to present the possibility of using simulation modelling in the analysis of internal transport operations using automated guided vehicles.

scholarly journals Digital Twin for Variation Management: A General Framework and Identification of Industrial Challenges Related to the Implementation

2020 ◽  
Vol 10 (10) ◽  
pp. 3342 ◽  
Author(s):  
Kristina Wärmefjord ◽  
Rikard Söderberg ◽  
Benjamin Schleich ◽  
Hua Wang
Keyword(s):  
Process Management ◽  
3D Models ◽  
Product Development Process ◽  
System Level ◽  
Future Research ◽  
Digital Twin ◽  
System Level Simulation ◽  
Digital Twins ◽  
Full Production ◽  
Variation Management

Digital twins have gained a lot of interest in recent years. This paper presents a survey among researchers and engineers with expertise in variation management confirming the interest of digital twins in this area. The survey shows, however, a gap between future research interest in academia and industry, identifying a larger need in industry. This indicates that there are some barriers in the industry to overcome before the benefits of a digital twin for variation management and geometry assurance can be fully capitalized on in an industrial context. To identify those barriers and challenges, an extensive interview study with engineers from eight different companies in the manufacturing sectors was accomplished. The analysis identifies industrial challenges in the areas of system-level, simulation working process, management issues, and education. One of the main challenges is to keep the 3D models fully updated, including keeping track of changes during the product development process and also feedback changes during full production to the development engineers. This is a part of what is called the digital thread, which is also addressed in this paper.

scholarly journals Bibliometrics Analysis of the Research Status and Trends of the Association Between Depression and Insulin From 2010 to 2020

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaohan Zou ◽  
Yuan Sun
Keyword(s):  
Insulin Resistance ◽  
Visual Analysis ◽  
The United States ◽  
Research Area ◽  
Research Trends ◽  
Mental Illnesses ◽  
Field Analysis ◽  
Future Research ◽  
Research Status ◽  
New Research

Depression is one of the common mental illnesses. Because it is an important complication of diabetes, its association with changes in insulin levels and insulin resistance, the causative factors of diabetes, has attracted widespread attention. However, the association between insulin and depression has not been systematically studied through bibliometric and visual analysis. This study is based on 3131 publications of Web of Science to identify the current research status and research trends in this field. The results show that since 2010, the number of publications has been growing rapidly. Cooperative network analysis shows that the United States, the University of Toronto and Roger S Mcintyre are the most influential countries, research institutes and scholars, respectively. Insulin resistance, obesity, and metabolic syndrome are hot topics in this field. Analysis of keywords and references reveals that “sex hormones,” is new research area that constantly emerging. As far as we know, this study is the first one to visualize the association between depression and insulin and predict potential future research trends through bibliometric and visual analysis.

scholarly journals Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
D. J. Wagg ◽  
K. Worden ◽  
R. J. Barthorpe ◽  
P. Gardner
Keyword(s):  
Asset Management ◽  
State Of The Art ◽  
Industrial Applications ◽  
Transport Systems ◽  
Synthesis Process ◽  
Small Scale ◽  
Mathematical Framework ◽  
Digital Twin ◽  
Digital Twins

Abstract This paper presents a review of the state of the art for digital twins in the application domain of engineering dynamics. The focus on applications in dynamics is because: (i) they offer some of the most challenging aspects of creating an effective digital twin, and (ii) they are relevant to important industrial applications such as energy generation and transport systems. The history of the digital twin is discussed first, along with a review of the associated literature; the process of synthesizing a digital twin is then considered, including definition of the aims and objectives of the digital twin. An example of the asset management phase for a wind turbine is included in order to demonstrate how the synthesis process might be applied in practice. In order to illustrate modeling issues arising in the construction of a digital twin, a detailed case study is presented, based on a physical twin, which is a small-scale three-story structure. This case study shows the progression toward a digital twin highlighting key processes including system identification, data-augmented modeling, and verification and validation. Finally, a discussion of some open research problems and technological challenges is given, including workflow, joints, uncertainty management, and the quantification of trust. In a companion paper, as part of this special issue, a mathematical framework for digital twin applications is developed, and together the authors believe this represents a firm framework for developing digital twin applications in the area of engineering dynamics.

scholarly journals Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1443 ◽  
Author(s):  
Zhang ◽  
Yuan
Keyword(s):  
Business Models ◽  
Energy Performance ◽  
Research Trends ◽  
Research Trend ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Performance Contracting ◽  
The Past ◽  
Energy Performance Contracting

The increasing demand for applying energy performance contracting (EPC) for urban energy conservation has resulted in a significant amount of publications over the past decade. This study tries to identify future research trends in the subject of EPC through analyzing 127 journal papers published from 2008 to 2018. Based on the analysis and discussion of the EPC research, several main research trends were identified. The research results reveal an increasing research interest in EPC over the period. The findings imply that case study is the major research method and descriptive analysis and statistical analysis are primarily used for data analysis. In addition, EPC research in the past decade focused on five major research topics, which are ‘implementation of EPC projects’, ‘EPC mechanism and business models’, ‘decision-making in EPC projects’, ‘Energy Service Companies (ESCOs) in EPC projects’, and ‘risk management in EPC projects’. Based on the five research topics, future research trends and directions in EPC were identified as well. The findings of this study can be informative and valuable for guiding future research in EPC, and are particularly helpful for researchers who are keen to open a new window of investigating EPC issues worldwide.

scholarly journals Methods of creating and using a digital twin of a mobile transport and transshipment rope complex

2020 ◽  
Vol 20 (3) ◽  
pp. 243-251
Author(s):  
I. A. Lagerev ◽  
V. I. Tarichko ◽  
A. V. Panfilov
Keyword(s):  
Large Scale ◽  
Load Capacity ◽  
Video Stream ◽  
Transport Systems ◽  
Work Processes ◽  
Digital Twin ◽  
Digital Twins ◽  
Ongoing Work ◽  
The Creation ◽  
High Load Capacity

Introduction. The paper considers the creation and application of digital twins at various stages of the life cycle of mobile transport and transshipment rope complexes (mobile ropeways), the equipment of which is mounted on the basis of wheeled or tracked chassis of high load capacity. The work objective is to improve safety in using such transport systems based on real-time forecasting of potential failures. This will prevent the occurrence of emergencies in a timely manner. Materials and Methods. The structure of the digital twin of the mobile transport and transshipment rope complex is proposed. Approaches to the analysis of ongoing work processes in order to prevent accidents have been developed. They are based on simulation modeling of the system dynamics using new complex mathematical models built through the system approach. Results. The developed method was tested on a large-scale layout of a mobile transport and transshipment rope complex created by 3D printing methods. A mathematical model of this system was developed; it was used to construct a digital double of the experimental model. The possibility of predicting failures in the layout is shown experimentally through the example of a rope slipping case. To do this, the actual value of the load suspension point coordinate obtained through the video stream processing method was compared to the predicted value calculated using a digital twin.Discussion and Conclusions. The research results provide the creation of an industrial digital twin of a mobile transport and transshipment rope complex mounted on cross-country wheeled chassis.

Educational data mining: a systematic review of research and emerging trends

2020 ◽  
Vol 48 (4) ◽  
pp. 225-236
Author(s):  
Xu Du ◽  
Juan Yang ◽  
Jui-Long Hung ◽  
Brett Shelton
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Educational Data Mining ◽  
Research Trends ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Content Type ◽  
State Of Art ◽  
Open Issues

Purpose Educational data mining (EDM) and learning analytics, which are highly related subjects but have different definitions and focuses, have enabled instructors to obtain a holistic view of student progress and trigger corresponding decision-making. Furthermore, the automation part of EDM is closer to the concept of artificial intelligence. Due to the wide applications of artificial intelligence in assorted fields, the authors are curious about the state-of-art of related applications in Education. Design/methodology/approach This study focused on systematically reviewing 1,219 EDM studies that were searched from five digital databases based on a strict search procedure. Although 33 reviews were attempted to synthesize research literature, several research gaps were identified. A comprehensive and systematic review report is needed to show us: what research trends can be revealed and what major research topics and open issues are existed in EDM research. Findings Results show that the EDM research has moved toward the early majority stage; EDM publications are mainly contributed by “actual analysis” category; machine learning or even deep learning algorithms have been widely adopted, but collecting actual larger data sets for EDM research is rare, especially in K-12. Four major research topics, including prediction of performance, decision support for teachers and learners, detection of behaviors and learner modeling and comparison or optimization of algorithms, have been identified. Some open issues and future research directions in EDM field are also put forward. Research limitations/implications Limitations for this search method include the likelihood of missing EDM research that was not captured through these portals. Originality/value This systematic review has not only reported the research trends of EDM but also discussed open issues to direct future research. Finally, it is concluded that the state-of-art of EDM research is far from the ideal of artificial intelligence and the automatic support part for teaching and learning in EDM may need improvement in the future work.

An approach to assessing the technical condition of elements and nodes of transport systems using neural network modeling methods and digital twin technology

2021 ◽  
Author(s):  
V.V. Belousov ◽  
O.V. Druzhinina ◽  
E.R. Korepanov ◽  
I.V. Makarenkova ◽  
V.V. Maksimova
Keyword(s):  
Neural Network ◽  
Intelligent Systems ◽  
Technical Condition ◽  
The State ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Neural Network Modeling ◽  
Technical Diagnostics ◽  
Digital Twin ◽  
Digital Twins

The development of intelligent methods and the development of tools for solving research problems of modeling and diagnosing the state of technical systems are relevant areas related to the introduction of digital technologies. Such problems include the problems of preparing correct data arrays for diagnosing and predicting the state of elements and nodes of transport systems. The purpose of the paper is to develop methods for preparing and analyzing data for modeling digital twins on the example of studying the temperature regime of the functioning of a railway car's axle box node, as well as choosing the architecture of neural networks for solving problems of assessing the technical condition of the axle box nodes. The features of the digital twin technology are characterized and the directions of its use for modeling and diagnostics of railway transport systems are considered. As part of the development of an approach to solving the problem of diagnosing the condition of the axle box units of railway cars, analytical dependences and generalized heat transfer equations related to changes in temperature regimes are considered. Examples of the presentation of such data on temperature series, which contain values for deviations from the normal functioning of the elements of the axle box node, are given. The choice of the neural network architecture adapted for solving the problems of estimating and predicting the temperature values of the axle box unit of the car was made. Options for preparing test data for a neural network model have been developed. The results can be used in the problems of creating algorithmic and software for preparing correct arrays of input data for technical diagnostics, in the problems of synthesis and analysis of models of intelligent systems, in various machine learning problems. The considered approach to modeling is aimed at developing methods for assessing and predicting the state of transport infrastructure elements and can be used in the development of intelligent transport systems and for improving the technology of digital twins.

Sign in / Sign up

Export Citation Format

Share Document