| publications-5321 |
Conference paper |
2021 |
Skripko A.; Zhilenkova E.; Zhilenkov A. |
Results of the implementation of work on the creation of virtual test benches for testing the digital twin of the bus |
E3S Web of Conferences |
10.1051/e3sconf/202128406007 |
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The results of the implementation of work in the field of creating virtual test benches for testing digital twins of products in the automotive industry are presented. The results of the implementation of virtual benches for assessing the water tightness and drainage of bus bodies are specifically considered. The structure of the virtual bench for assessing the sound absorption of materials in the alpha chamber is given. The results of the development of the concept of a virtual test bench for the bus electrical equipment simulation are presented. Β© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/) |
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| publications-5322 |
Conference paper |
2021 |
Reis J.R.; de Oliveira T.S.; de Oliveira W.L.; Barboza D.C.; De Melo L.S.; Oberziner A.L.B.; da Silva P.A., Jr. |
Case Study: The Impact of VR & AR Simulation Project to Decrease Human Exposure in Critical Environments |
Proceedings of the Annual Offshore Technology Conference |
10.4043/31143-MS |
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Human exposure is a relevant factor when operating in critical environments and depends on a thorough analysis and consideration towards driving the teams to a safer and more productive environment. Reducing such exposure through digital technologies benefits the whole workforce in their decisions and maneuvers, like simulations, training, and other critical activities that can be executed remotely and prior to the actual activity. This paper presents a case study to demonstrate how augmented and virtual reality can be used to create a high fidelity virtual environment emulating the real industrial facility. This approach enriches the Digital Twin with the association of data and the virtual environment. It leverages on display and interaction capabilities of hardware devices, and intelligence and data querying capabilities of industrial software, empowering the workers with enhanced training capabilities and access to information increasing safety and efficiency. A real application of this technology is presented in this paper through the case study of the PredictMain4.0 project of Repsol Sinopec Brazil (RSB), which aimed at the integration of digital technologies, including augmented reality (AR) and virtual reality (VR). The PredictMain4.0 project was executed using data and data models of PETROBRAS’ P-50, a FPSO (Floating Production Storage and Offloading) operating in Brazil, and illustrates how different AR/VR applications can be developed and used in combination with engineering, operation, and maintenance databases. This includes 3D models, digitalized critical procedures, and the ability to integrate field teams into a single virtual environment, allowing real interaction in a digital setting that is linked to the real world. Considering the digitalized procedures, this paper aims to establish how virtual simulation and training can make teams more confident and prepared to execute the same physical asset procedures. After consulting with stakeholders from many different teams, the PredictMain4.0 project team selected three critical operating modules in the FPSO (Power Generation, Water Injection, and Gas Compression). For each one, considered which situations were relevant, should they occur. These situations led to developing a training and simulation framework, allowing instructors to create different scenarios and use advanced features such as digital measurement, real-time data collection, and collaborative sessions. The case study indicates that the development of such applications can save more than $1 million per year in maintenance costs considering the decrease in downtime and avoiding risks of accident. © 2021, Offshore Technology Conference. All rights reserved. |
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| publications-5323 |
Conference paper |
2021 |
Ji H.; Li J.; Zhang S.; Wu Q. |
Research on Water Resources Intelligent Management of Thermal Power Plant Based on Digital Twins |
2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2021 |
10.1109/ICCCBDA51879.2021.9442503 |
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With the development of industry digitization, and the convergence of industry and the internet, the digital twin technology was widely used in many industries, thermal power plants were big users of water, the intelligent management of the whole plant water resource system had become inevitable. This paper expounded the digital twin theory, and the power plant in Shandong province was taken as an example, the theory and method of digital twinning were applied, advanced information technologies such as internet of things technology, cloud computing and big data analysis were used, the thermal power plant water resource intelligence management system had been constructed, the intersection and fusion among physical layer, data layer, model layer and function layer were completed, and the application of water resource intelligence management system in thermal power plants was analyzed. The results show that: this system had realized the factory water balance figure of automatic updates, water balance, dynamic test and application analysis, the water system of water, water quality of three dimensional display, dynamic analysis and evaluation, trend prediction, etc. It guided the water adjustment and optimization of the whole plant, the electricity consumption had been reduced, water use efficiency and efficiency were improved, the discharge of wastewater had been reduced, the amount of water extracted per unit of generating capacity was reduced from 1.90m3/MW to 1.21m3/MW in this plant, it could reduce the fresh water intake by about 800,000 tons per year, which had good economic and social benefits. It would be an important part of future smart power plants to set an example for the intelligent management of water resources for the whole plant. Β© 2021 IEEE. |
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| publications-5324 |
Article |
2021 |
Taskar B.; Andersen P. |
Comparison of added resistance methods using digital twin and full-scale data |
Ocean Engineering |
10.1016/j.oceaneng.2021.108710 |
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In this paper, full-scale data for two ships have been used for the comparison of five different added resistance methods. The effect of using separate wave spectra for wind waves and swell on performance prediction has been explored. The importance of the peak enhancement factor(Ξ³) in the JONSWAP spectrum for added resistance computation has been studied. Simulation model including calm water resistance, added resistance and wind resistance has been used. Ships have been simulated in the same weather conditions and propeller speed as in the case of full-scale ships using different methods for added resistance. The performance of these methods has been quantified by comparing speed and power predictions with the full-scale data. The paper also discusses the challenges involved in using full-scale data for such a comparison because of difficulty in isolating the effect of added resistance in full-scale data. It was observed that three out of five methods were able to predict added resistance even in high waveheights. Even though these methods showed significantly different RAOs, its effect on speed and power prediction was minor. Simulation results were not sensitive to the choice of peak enhancement factor(Ξ³) in the JONSWAP spectrum. There was minor improvement in results by using separate wave spectra for wind waves and swell instead of single wave spectrum for combined wind waves and swell. Β© 2021 Elsevier Ltd |
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| publications-5325 |
Conference paper |
2021 |
Tancredi G.; Bottani E.; Vignali G. |
Digital Twin Application for the Temperature and Steam Flow Monitoring of a Food Pasteurization Pilot Plant |
IFIP Advances in Information and Communication Technology |
10.1007/978-3-030-85902-2_65 |
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In this paper, the development of a Digital Twin of a beverages pasteurization system for temperature monitoring, using NI Lab-VIEW control system toolkit, is described. A cyber-physical production system, composed of a real-time simulation tool and a controller, has been set up and tested on a pilot plant set up in a university laboratory. The paper shows how the software platform, together with the hardware, has been implemented in a traditional system, not (yet) ready for Industry 4.0 technologies, and therefore underlines the main issues occurred during its development. The Digital Twin includes a CompactRIO controller and a set of probes, connected with the controller. The aim of the Digital Twin is to monitor the machine status, with a particular attention to the temperature reached by the service water and the required steam flow. To demonstrate the effectiveness of this system, a set of experimental tests has also been carried out. Β© 2021, IFIP International Federation for Information Processing. |
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| publications-5326 |
Conference paper |
2021 |
Cvetkov P.; Zhilenkova E.; Zhilenkov A. |
Development of virtual benches for testing the digital twin of a vehicle |
E3S Web of Conferences |
10.1051/e3sconf/202128406006 |
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The article analyzes the approaches to the creation of the concept of a virtual test bench for testing the digital twin of the automotive industry product. Such components of the digital platform as suspension area, power plant, braking and cooling systems are being investigated. The problem of the implementation in the digital twin of such important units as the attachment points of units and assemblies on the vehicle body frame, even surface, driver dummy, the scheme of attachment of body elements, etc is studied. The importance of the implementation of such benches as platforms for assessing the indicators of the vehicle passive safety or as stand for assessing the water tightness of the vehicle body is considered. A number of results that illustrate development areas and success of the authors of the article in these areas are presented. It is shown that the digital platform can be used for certification and rating tests, assessing the comfort and visibility of the driver's cab. Β© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/) |
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| publications-5327 |
Article |
2021 |
Wu Z.; Ren C.; Wu X.; Wang L.; Zhu L.; Lv Z. |
Research on Digital Twin Construction and Safety Management Application of Inland Waterway Based on 3D Video Fusion |
IEEE Access |
10.1109/ACCESS.2021.3101653 |
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The digital twin can reconstruct the scenes of real traffic operation of inland waterways in virtual space, giving birth to new ideas for the digital transformation and upgrading of water safety management. Aiming at the problems of video fragmentation, sub-system data separation and untimely emergency response in the current inland waterway safety monitoring, this paper proposes a new method for reconstructing and applying a digital twin of inland waterways based on 3D video fusion which consists of four parts: (1) Combining drone tilt photography and BIM modeling technology to construct a three-dimensional scene model of inland waterways; (2) Proposing a multi-channel video three-dimensional registration and rendering method to integrate in real time discrete surveillance videos of different angles of view with three-dimensional scene model to establish the spatial correlation between different video images in the scene; (3) Integrating multi-source IoT sensing data to form a scene of digital twin of inland waterways; (4) Exploring innovative application methods for water safety management based on digital twins to meet the water safety management requirements and business logic of inland waterways. A certain segment of the Changhu Shen Line was selected for demonstration and application. The application results show that the construction and application of digital twins for inland waterways combined with 3D video reduces the pressure on managers to understand real-time video footage and improves the efficiency of daily monitoring, evidence collection, and emergency response. Β© 2013 IEEE. |
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| publications-5328 |
Article |
2021 |
Powalla D.; Hoerner S.; Cleynen O.; MΓΌller N.; Stamm J.; ThΓ©venin D. |
A computational fluid dynamics model for a water vortex power plant as platform for etho-and ecohydraulic research |
Energies |
10.3390/en14030639 |
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The objective of the present paper is to develop a validated numerical model of a water vortex power plant that serves as a digital twin for further studies such as assessments of the ethohydraulic characteristics or the performance of such devices. The reference for the validation process is a large-scale hydraulic installation equipped with a full-scale water vortex power plant prototype installed in Dresden (Germany), where flow field measurements were carried out using three-dimensional Acoustic Doppler Velocimetry. The numerical model was implemented within the software package Star-CCM+. The unsteady, two-phase flow was solved with the Reynolds-Averaged Navier–Stokes equations in a Eulerian Multiphase approach, deploying a Volume of Fluid method to describe the free-surface flow. Water level and flow velocities were systematically compared in key areas of the device, demonstrating that the simulation is in good agreement with experimental observations. Relative differences are limited to at most 4% regarding water height in the system, and even the much more challenging velocity fields are reproduced with typical relative errors of roughly 10%. This validates the ability of the model to model the challenging flow conditions found in a water vortex power plant, enabling subsequent studies of the characteristics of this power plant concerning fish migration. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
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| publications-5329 |
Review |
2022 |
Alves L.; Ferreira Cruz E.; Lopes S.I.; Faria P.M.; Rosado da Cruz A.M. |
Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review |
Waste Management and Research |
10.1177/0734242X211052858 |
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The textile and clothing industry sector has today a big environmental impact, not only due to the consumption of water and the use of toxic chemicals but also due to the increasing levels of textile waste. One way to reduce the problem is to circularise the, currently linear, textile and clothing value chain, by using discarded clothes as raw material for the production of new clothes, transforming it into a model of circular economy. This way, while reducing the need to produce new raw materials (e.g. cotton), the problem of textile waste produced is also reduced, thus contributing to a more sustainable industry. In this article, we review the current approaches for traceability in the textile and clothing value chain, and study a set of technologies we deem essential for promoting the circular economy in this value chain – namely, the blockchain technology – for registering activities on traceable items through the value chain, and the Internet of Things (IoT) technology, for easily identifying the traceable items’ digital twins. © The Author(s) 2021. |
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| publications-5330 |
Article |
2021 |
Jin Y.; Yiew L.J.; Zheng Y.; Magee A.R.; Duffy J.; Chai S. |
Dynamic manoeuvres of KCS with CFD free-running computation and system-based modelling |
Ocean Engineering |
10.1016/j.oceaneng.2021.110043 |
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Future state projection is an important prerequisite for the maritime autonomous surface ships (MASS) to initiate a collision-avoidance manoeuvre. Forecasts of MASSβ€² trajectories and motions are fundamentally based on the vessel's mathematical manoeuvring model, which is also referred to as the hydrodynamic digital twin nowadays. Using the benchmark container ship KCS as an object of study, this paper adopts a 3-DOF modular-type manoeuvring (MMG) model to predict the vessel trajectories in calm water and under the presence of steady current and regular waves. The current effects are treated as additional ship over water speed, while the wave effects are considered by superimposing the mean second-order wave drift loads to the calm water hull hydrodynamics. Concurrently, selected manoeuvring cases including turning circle and zig-zag are solved using the unsteady Reynolds-averaged Navier-Stokes (uRANS) equations based CFD method, where a hierarchy of overset grids is utilised to allow self-propulsion and active rudder steering. The computed vessel trajectories and velocities are compared with that predicted by the MMG model and show reasonable agreement. The wave loads experienced by the vessel when turning in waves are also analysed and discussed. Β© 2021 Elsevier Ltd |
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