Pub Date : 2022-12-06DOI: 10.12688/digitaltwin.17692.1
Yifeng Zheng, Huaming Kong, Na Wang, Mei Li, Xiaoyu Wang, Zhesheng Xia, Pei Wang, Chenhao Wang
Background: The development of cloud-based, service-focused and intelligent networks has increased the demand for highly reliable, error-tolerant and computationally efficient means of reducing the costs associated with network operation, maintenance, testing and innovations. Methods: We present a fault self-recovery method for fifth-generation core (5GC) networks. Data models are built according to the data governance approach to include the equipment, links and services of the physical network in the digital twin. Visual topology technology is used to extract knowledge-as-a-service (KaaS) capabilities such as call quality tests, fault-propagation chain reasoning and disaster recovery analysis. Results: The proposed method realises 5GC closed-loop self-recovery through four processes: perception, analysis, decision-making and execution. In tests, it achieved 5GC network fault detection in 1 min, delimitation in 20 min, and recovery in 5 min. Conclusions: Through the network digital twin technology, based on the model and state data, the twinning capabilities such as simulation and event topology can be used to realize the network anomaly perception, fault rapid confinement and service survival decision, thus effectively improving the fault processing efficiency and reducing the fault impact.
{"title":"Practice on fifth-generation core (5GC) network fault self-recovery based on a Digital Twin","authors":"Yifeng Zheng, Huaming Kong, Na Wang, Mei Li, Xiaoyu Wang, Zhesheng Xia, Pei Wang, Chenhao Wang","doi":"10.12688/digitaltwin.17692.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17692.1","url":null,"abstract":"Background: The development of cloud-based, service-focused and intelligent networks has increased the demand for highly reliable, error-tolerant and computationally efficient means of reducing the costs associated with network operation, maintenance, testing and innovations. Methods: We present a fault self-recovery method for fifth-generation core (5GC) networks. Data models are built according to the data governance approach to include the equipment, links and services of the physical network in the digital twin. Visual topology technology is used to extract knowledge-as-a-service (KaaS) capabilities such as call quality tests, fault-propagation chain reasoning and disaster recovery analysis. Results: The proposed method realises 5GC closed-loop self-recovery through four processes: perception, analysis, decision-making and execution. In tests, it achieved 5GC network fault detection in 1 min, delimitation in 20 min, and recovery in 5 min. Conclusions: Through the network digital twin technology, based on the model and state data, the twinning capabilities such as simulation and event topology can be used to realize the network anomaly perception, fault rapid confinement and service survival decision, thus effectively improving the fault processing efficiency and reducing the fault impact.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43481791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-28DOI: 10.12688/digitaltwin.17717.1
Zhengxu Zhu, Ray Y Zhong
Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.
{"title":"A digital twin enabled wearable device for customized healthcare","authors":"Zhengxu Zhu, Ray Y Zhong","doi":"10.12688/digitaltwin.17717.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17717.1","url":null,"abstract":"Background: The traditional healthcare process centers on the hospital rather than the individual patient. The demand for continuous monitoring is increasing with the increasing proportion of patients with chronic diseases and the elderly. Wearable medical devices have brought medical monitoring into the Internet age. To improve the devices' adaptability, this research proposes a combination between digital twin (DT) and wearable medical devices is proposed to provide personalized wearable medical devices and personalized healthcare efficiently. Methods: A DT-enabled smart system is proposed for personalization in the design, manufacturing, and data tracking of a healthcare device prototype. A case study is made for three healthcare monitoring scenarios: rehabilitation training, wheelchair, and human fall. Based on computer-aided design and additive print, a triaxial vibration collection bracelet with a simple Internet of things mode is designed and manufactured in personalization. Results: The bracelet shows great application ability in this case study, including design, manufacturing, and remote connection. 10 groups of data were recorded in each scenario. In rehabilitation training and wheelchair experiments, the average values of correlation coefficient between models and the actual data are 0.991 and 0.749 respectively. In human fall experiment, the motion signal parameters of the user and movement pattern were clearly identified. These results provide the basis for applications in different scenarios. Conclusions: The device is representative, with good personalization and health monitoring performance, and has excellent potential for large-scale application. DT will provide a new feasible solution for the realization of personalized medicine.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49569466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-24DOI: 10.12688/digitaltwin.17720.1
Min Shu, Wanfei Sun, J. Zhang, Xiaoyan Duan, Ming Ai
Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.
{"title":"Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications","authors":"Min Shu, Wanfei Sun, J. Zhang, Xiaoyan Duan, Ming Ai","doi":"10.12688/digitaltwin.17720.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17720.1","url":null,"abstract":"Background: The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods: To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration via centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results: Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous AI, distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions: In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46136311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-12DOI: 10.12688/digitaltwin.17664.1
Shuaiming Su, R. Zhong, Yishuo Jiang
The construction industry has a great impact on social and economic development because of its wide coverage and a large number of stakeholders involved. It is precisely owing to its large volume that technological innovation of the construction industry is relatively slow. The birth and rapid development of digital twins brings more hope to the construction industry. This paper summarizes the current development of digital twin and its applications in construction industry. First, the concepts and applications of digital twin are analyzed. Then, the research on digital twins in the construction industry in the past five years is reviewed. The main research directions and key technologies are pointed out in the end. This paper could guide related practitioners to clearly grasp the research application status of digital twin in the construction industry. It could also help to find suitable research directions.
{"title":"Digital twin and its applications in the construction industry: A state-of-art systematic review","authors":"Shuaiming Su, R. Zhong, Yishuo Jiang","doi":"10.12688/digitaltwin.17664.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17664.1","url":null,"abstract":"The construction industry has a great impact on social and economic development because of its wide coverage and a large number of stakeholders involved. It is precisely owing to its large volume that technological innovation of the construction industry is relatively slow. The birth and rapid development of digital twins brings more hope to the construction industry. This paper summarizes the current development of digital twin and its applications in construction industry. First, the concepts and applications of digital twin are analyzed. Then, the research on digital twins in the construction industry in the past five years is reviewed. The main research directions and key technologies are pointed out in the end. This paper could guide related practitioners to clearly grasp the research application status of digital twin in the construction industry. It could also help to find suitable research directions.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44311783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.12688/digitaltwin.17563.2
Zhongcheng Lei, Hong Zhou, Wenshan Hu, Guoping Liu
Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. As a transformative technology, the digital twin can be potentially applied into online laboratories to enable physical-digital twin interactions and enhance user experience. Methods: In this article, web-based digital twin online laboratories are discussed, the methodologies and implementation of which are presented in detail. The digital twin architecture, three-dimensional twin model, web-based digital twin control algorithm design, and real-time physical-twin control are explored to provide a full picture for the design and implementation of digital twin online laboratory systems. To illustrate the effectiveness of the proposed methodologies, a use case with the Networked Control System Laboratory (a previously developed control and automation laboratory) is provided, which details the design and implementation. Results: A four-tier web architecture has been implemented. With the provided web interface, control algorithms can be designed and employed for real-time digital twin experimentation. The experimental results demonstrated that the physical-digital twin fan speed control system can achieve good control and tracking performance with human-in-the-loop interactions. Conclusions: This article presents the methodologies and implementation of digital twin web-based online laboratories. The use case verified the proposed web architecture, digital twin implementation, control architecture, and human-in-the-loop interactions for a digital twin experimentation system, which can potentially be used for the design and implementation of other digital-twin applications in different fields.
{"title":"Web-based digital twin online laboratories: Methodologies and implementation","authors":"Zhongcheng Lei, Hong Zhou, Wenshan Hu, Guoping Liu","doi":"10.12688/digitaltwin.17563.2","DOIUrl":"https://doi.org/10.12688/digitaltwin.17563.2","url":null,"abstract":"Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. As a transformative technology, the digital twin can be potentially applied into online laboratories to enable physical-digital twin interactions and enhance user experience. Methods: In this article, web-based digital twin online laboratories are discussed, the methodologies and implementation of which are presented in detail. The digital twin architecture, three-dimensional twin model, web-based digital twin control algorithm design, and real-time physical-twin control are explored to provide a full picture for the design and implementation of digital twin online laboratory systems. To illustrate the effectiveness of the proposed methodologies, a use case with the Networked Control System Laboratory (a previously developed control and automation laboratory) is provided, which details the design and implementation. Results: A four-tier web architecture has been implemented. With the provided web interface, control algorithms can be designed and employed for real-time digital twin experimentation. The experimental results demonstrated that the physical-digital twin fan speed control system can achieve good control and tracking performance with human-in-the-loop interactions. Conclusions: This article presents the methodologies and implementation of digital twin web-based online laboratories. The use case verified the proposed web architecture, digital twin implementation, control architecture, and human-in-the-loop interactions for a digital twin experimentation system, which can potentially be used for the design and implementation of other digital-twin applications in different fields.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43615167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the life cycle of nuclear power equipment (NPE), the long-term high-safety maintenance services play a vital role in ensuring their optimal operation. However, as the complex system equipment with high-safety requirements and high costs, there are lots of limitations of traditional time-based maintenance strategies for NPE. For example, the maintenance service process is invisible, the condition monitoring is mainly based on manual inspection, and the maintenance decision-making mainly depends on personal experience passively. Digital twins (DT) are an effective way to break the “information isolated island” in the whole life cycle, which can give full play to the value of data to realize the visualization of operation process of NPE. Nevertheless, nowadays, the application of DT in the field of nuclear industry is at the exploration stage, and there is lacking systematic and practical research. Thus, a novel DT-driven intelligent maintenance decision-making system involving three key-enabling technologies is proposed in this paper. Firstly, the DT-driven maintenance service mode is introduced, and its corresponding system framework is built. Then, the key enabling technologies such as DT modeling, condition monitoring and dynamic pre-alarm, and systematic intelligent maintenance decision-making and verification are expounded in detail. Finally, the cooling water pump is regarded as the case to verify the proposed method. The DT prototype system is developed and verified in the novel system, which demonstrates the novel system and the three key-enabling technologies are feasible and practical.
{"title":"Digital twin-driven intelligent maintenance decision-making system and key-enabling technologies for nuclear power equipment","authors":"qingfeng xu, Guanghui Zhou, Chao Zhang, Fengtian Chang, Qian Huang, M. Zhang, Yifan Zhi","doi":"10.12688/digitaltwin.17695.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17695.1","url":null,"abstract":"In the life cycle of nuclear power equipment (NPE), the long-term high-safety maintenance services play a vital role in ensuring their optimal operation. However, as the complex system equipment with high-safety requirements and high costs, there are lots of limitations of traditional time-based maintenance strategies for NPE. For example, the maintenance service process is invisible, the condition monitoring is mainly based on manual inspection, and the maintenance decision-making mainly depends on personal experience passively. Digital twins (DT) are an effective way to break the “information isolated island” in the whole life cycle, which can give full play to the value of data to realize the visualization of operation process of NPE. Nevertheless, nowadays, the application of DT in the field of nuclear industry is at the exploration stage, and there is lacking systematic and practical research. Thus, a novel DT-driven intelligent maintenance decision-making system involving three key-enabling technologies is proposed in this paper. Firstly, the DT-driven maintenance service mode is introduced, and its corresponding system framework is built. Then, the key enabling technologies such as DT modeling, condition monitoring and dynamic pre-alarm, and systematic intelligent maintenance decision-making and verification are expounded in detail. Finally, the cooling water pump is regarded as the case to verify the proposed method. The DT prototype system is developed and verified in the novel system, which demonstrates the novel system and the three key-enabling technologies are feasible and practical.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44388279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-22DOI: 10.12688/digitaltwin.17682.1
chong han, Guanghui Zhou, Chao Zhang, yongrui yu, D. ma
Background: Intelligent manufacturing is perceived as a manufacturing mode with powerful learning and cognitive capabilities empowered by information technologies such as the internet of things, edge computing, and cloud computing. The mode can be used to address the problems of low intelligence and poor timeliness of traditional process planning. Methods: The framework includes the multi-objective process planning method based on real-time data, and the process closed-loop optimization mechanism of “cloud-based theoretical process planning plus edge MEC (multi-access edge computing) side online simulation verification and real-time feedback adjustment”, which realizes online process planning and iterative optimization in mass customization. Results: The feasibility of the online analysis method for thin-walled part milling deformation is verified by taking the finishing process of aerospace thin-walled parts as an example. The experimental results show that the simulation time on the single analysis step is reduced from 6s to 1s, and the accuracy rate is 86.9%. Conclusions: A new intelligent process planning theoretical framework integrating with online process planning and autonomous collaborative control, namely, digital twin and multi-access edge computing process planning (DT-MEC-PP) is proposed in this paper.
{"title":"A novel framework for online decision-making and feedback optimization of complex products process parameter based on edge-cloud collaboration","authors":"chong han, Guanghui Zhou, Chao Zhang, yongrui yu, D. ma","doi":"10.12688/digitaltwin.17682.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17682.1","url":null,"abstract":"Background: Intelligent manufacturing is perceived as a manufacturing mode with powerful learning and cognitive capabilities empowered by information technologies such as the internet of things, edge computing, and cloud computing. The mode can be used to address the problems of low intelligence and poor timeliness of traditional process planning. Methods: The framework includes the multi-objective process planning method based on real-time data, and the process closed-loop optimization mechanism of “cloud-based theoretical process planning plus edge MEC (multi-access edge computing) side online simulation verification and real-time feedback adjustment”, which realizes online process planning and iterative optimization in mass customization. Results: The feasibility of the online analysis method for thin-walled part milling deformation is verified by taking the finishing process of aerospace thin-walled parts as an example. The experimental results show that the simulation time on the single analysis step is reduced from 6s to 1s, and the accuracy rate is 86.9%. Conclusions: A new intelligent process planning theoretical framework integrating with online process planning and autonomous collaborative control, namely, digital twin and multi-access edge computing process planning (DT-MEC-PP) is proposed in this paper.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42315691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-13DOI: 10.12688/digitaltwin.17615.1
Yanan Zhang, Yuefeng Du, Zihan Yang, Du Chen, Zhenghe Song, Zhong-xiang Zhu
Background: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development, manufacturing, operation and maintenance control, recycling and other links of agricultural machinery equipment are still independent of each other. The massive information in the agricultural production process has not been fully utilized, so there are some outstanding problems such as low operating performance, low production efficiency, and poor integration of agricultural machinery and agronomy. Methods: Focusing on the agricultural production process, this paper proposes the construction method for a high-horsepower tractor digital twin, and expounds on its operation mechanism. Taking high-horsepower tractor ploughing operation as an example, by deploying tractors, central servers, and an Internet of Things (IoT) platform, we developed a digital twin service platform for the agricultural production system of intelligent agricultural machinery equipment and built a tractor digital twin to verify the effectiveness of the proposed method. Results: The accuracy rate of the tractor ploughing quality prediction service based on this platform is 96.65%. Under open-loop control, the number of excellent, good, medium and poor sets of the tractor ploughing quality are 153, 955, 1470, and 1422, respectively. After adopting closed-loop control, the number of excellent and good sets increased by 378, and 821, respectively, and the number of medium and poor groups decreases by 119 and 1080, respectively. Through this platform, the operation quality can be effectively and accurately predicted and improved, which verifies the effectiveness of the proposed construction method of high-horsepower tractor digital twin. Conclusions: This research provides a method framework for the construction of the digital twin of tractor operation and maintenance control processes, and provides strong support for the vigorous development of intelligent agriculture.
{"title":"Construction method of high-horsepower tractor digital twin","authors":"Yanan Zhang, Yuefeng Du, Zihan Yang, Du Chen, Zhenghe Song, Zhong-xiang Zhu","doi":"10.12688/digitaltwin.17615.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17615.1","url":null,"abstract":"Background: Agricultural machinery equipment is the core element of advanced agricultural productivity. The operation system of agricultural machinery equipment involves machine-human-environment-society interactions. Limited by the production mode, operation mode, etc., the design and development, manufacturing, operation and maintenance control, recycling and other links of agricultural machinery equipment are still independent of each other. The massive information in the agricultural production process has not been fully utilized, so there are some outstanding problems such as low operating performance, low production efficiency, and poor integration of agricultural machinery and agronomy. Methods: Focusing on the agricultural production process, this paper proposes the construction method for a high-horsepower tractor digital twin, and expounds on its operation mechanism. Taking high-horsepower tractor ploughing operation as an example, by deploying tractors, central servers, and an Internet of Things (IoT) platform, we developed a digital twin service platform for the agricultural production system of intelligent agricultural machinery equipment and built a tractor digital twin to verify the effectiveness of the proposed method. Results: The accuracy rate of the tractor ploughing quality prediction service based on this platform is 96.65%. Under open-loop control, the number of excellent, good, medium and poor sets of the tractor ploughing quality are 153, 955, 1470, and 1422, respectively. After adopting closed-loop control, the number of excellent and good sets increased by 378, and 821, respectively, and the number of medium and poor groups decreases by 119 and 1080, respectively. Through this platform, the operation quality can be effectively and accurately predicted and improved, which verifies the effectiveness of the proposed construction method of high-horsepower tractor digital twin. Conclusions: This research provides a method framework for the construction of the digital twin of tractor operation and maintenance control processes, and provides strong support for the vigorous development of intelligent agriculture.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47367043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-25DOI: 10.12688/digitaltwin.17632.1
Zhiwei Shen, Felipe Arraño-Vargas, G. Konstantinou
Artificial Intelligence (AI) promises solutions to the challenges raised by the digitalization of power grids and their assets. Decision-making, forecasting and even operational optimization of grids and assets are just some of the solutions that AI algorithms can provide to operators, utilities and vendors. Nevertheless, barriers such as access to quality datasets, interpretability, repeatability, and availability of computational resources currently limit the extent of practical AI implementations. At the same time, Digital Twins (DTs) are foreseen as platforms that can overcome these barriers, and also provide a new environment for the development of enhanced and more intelligent applications. In this manuscript, we review the published literature to determine the existing capabilities and implementation challenges of AI algorithms in power systems, and classify AI-based applications based on their time scale to reveal their temporal sensitivity. By combining AI and DT, we outline multiple prospective use cases for AI-enhanced power grid and power asset DTs. Our review also identifies that the combination of AI-based solutions and DTs leverages new applications with the potential to fundamentally change multiple aspects of the power industry.
{"title":"Artificial intelligence and digital twins in power systems: Trends, synergies and opportunities","authors":"Zhiwei Shen, Felipe Arraño-Vargas, G. Konstantinou","doi":"10.12688/digitaltwin.17632.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17632.1","url":null,"abstract":"Artificial Intelligence (AI) promises solutions to the challenges raised by the digitalization of power grids and their assets. Decision-making, forecasting and even operational optimization of grids and assets are just some of the solutions that AI algorithms can provide to operators, utilities and vendors. Nevertheless, barriers such as access to quality datasets, interpretability, repeatability, and availability of computational resources currently limit the extent of practical AI implementations. At the same time, Digital Twins (DTs) are foreseen as platforms that can overcome these barriers, and also provide a new environment for the development of enhanced and more intelligent applications. In this manuscript, we review the published literature to determine the existing capabilities and implementation challenges of AI algorithms in power systems, and classify AI-based applications based on their time scale to reveal their temporal sensitivity. By combining AI and DT, we outline multiple prospective use cases for AI-enhanced power grid and power asset DTs. Our review also identifies that the combination of AI-based solutions and DTs leverages new applications with the potential to fundamentally change multiple aspects of the power industry.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49135996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-05DOI: 10.12688/digitaltwin.17599.1
Hyman Duan, Su Gao, Xu Yang, Yuanlin Li
Background: Digital twins are gaining ever-increasing attention from academies and industries to standardization bodies all over the world owing to their great capabilities and fundamental values in the coming fourth industrial revolution. However, there is no consistent set of definitions or concept system for the digital twin domain yet. Methods: This paper summarizes the methodology of developing a concept system with integrating ISO standards guidelines and system thinking methods, analyzes the polysemy phenomenon of the term "digital twin", and identifies the necessity to differentiate digital twin entity and digital twin system from the general term “digital twin”. Results: After analyzing nineteen definitions of digital twin (entity) and summarizing ten superordinate concepts from these definitions, this paper proposes that a digital twin entity is a kind of digital asset rather than digital representation. Based on the new superordinate concept and definition of digital twin entity, a systematic digital twin concept system is developed which consists of four parts: top-level ontology and taxonomy of entity, digital twin entity related concepts, digital twin system related concepts, and taxonomy framework related concepts. Conclusions: This work demonstrates the power and effectiveness of the combination of ISO terminology work standards, system thinking methods, and information modeling tools, lays a solid foundation for future concept systems development of other domains, and will provide useful input to the efforts of digital twin standardization.
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