Digital Twin最新文献_第5页

TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor TAD-Net：一种基于时间卷积网络和图卷积网络的数字双车间实时动作检测方法

Digital Twin Pub Date : 2021-12-01 DOI: 10.12688/digitaltwin.17408.1

Qing Hong, Yifeng Sun, Tingyu Liu, Liang Fu, Yunfeng Xie

{"title":"TAD-Net: An approach for real-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor","authors":"Qing Hong, Yifeng Sun, Tingyu Liu, Liang Fu, Yunfeng Xie","doi":"10.12688/digitaltwin.17408.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17408.1","url":null,"abstract":"Background: Intelligent monitoring of human action in production is an important step to help standardize production processes and construct a digital twin shop-floor rapidly. Human action has a significant impact on the production safety and efficiency of a shop-floor, however, because of the high individual initiative of humans, it is difficult to realize real-time action detection in a digital twin shop-floor. Methods: We proposed a real-time detection approach for shop-floor production action. This approach used the sequence data of continuous human skeleton joints sequences as the input. We then reconstructed the Joint Classification-Regression Recurrent Neural Networks (JCR-RNN) based on Temporal Convolution Network (TCN) and Graph Convolution Network (GCN). We called this approach the Temporal Action Detection Net (TAD-Net), which realized real-time shop-floor production action detection. Results: The results of the verification experiment showed that our approach has achieved a high temporal positioning score, recognition speed, and accuracy when applied to the existing Online Action Detection (OAD) dataset and the Nanjing University of Science and Technology 3 Dimensions (NJUST3D) dataset. TAD-Net can meet the actual needs of the digital twin shop-floor. Conclusions: Our method has higher recognition accuracy, temporal positioning accuracy, and faster running speed than other mainstream network models, it can better meet actual application requirements, and has important research value and practical significance for standardizing shop-floor production processes, reducing production security risks, and contributing to the understanding of real-time production action.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41681844","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}

引用次数: 5

Digital twin-driven complexity management in intelligent manufacturing 智能制造中数字孪生驱动的复杂性管理

Digital Twin Pub Date : 2021-11-11 DOI: 10.12688/digitaltwin.17489.1

Yuchen Wang, Xingzhi Wang, F. Tao, Ang Liu

引用次数: 4

Towards a shape-performance integrated digital twin for lumbar spine analysis 用于腰椎分析的形状-性能集成数字双胞胎

Digital Twin Pub Date : 2021-11-05 DOI: 10.12688/digitaltwin.17478.1

Xiwang He, Yiming Qiu, Xiaonan Lai, Zhonghai Li, Liming Shu, Wei Sun, Xueguan Song

{"title":"Towards a shape-performance integrated digital twin for lumbar spine analysis","authors":"Xiwang He, Yiming Qiu, Xiaonan Lai, Zhonghai Li, Liming Shu, Wei Sun, Xueguan Song","doi":"10.12688/digitaltwin.17478.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17478.1","url":null,"abstract":"Background: With significant advancement and demand for digital transformation, the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space. In this work, a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement. Methods: A finite element model (FEM) of the lumbar spine was firstly developed using computed tomography (CT) and constrained by the body movement which was calculated by the inverse kinematics algorithm. The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. Finally, a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement. Results: The evaluation results presented an agreement (R-squared > 0.8) between the real-time prediction from digital twin and offline FEM prediction. Conclusions: This approach provides an effective method of real-time planning and warning in spine rehabilitation.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49532284","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}

引用次数: 13

Digital twins for well-being: an overview 幸福的数字孪生:概述

Digital Twin Pub Date : 2021-10-21 DOI: 10.12688/digitaltwin.17475.1

Rahatara Fardousi, Fedwa Laamarti, M. A. Hossain, Chunsheng Yang, A. El Saddik

引用次数: 14

A digital twin network solution for end-to-end network service level agreement (SLA) assurance 用于端到端网络服务水平协议(SLA)保证的数字孪生网络解决方案

Digital Twin Pub Date : 2021-09-28 DOI: 10.12688/digitaltwin.17448.1

Xiaowen Sun, Cheng Zhou, Xiaodong Duan, Tao Sun

{"title":"A digital twin network solution for end-to-end network service level agreement (SLA) assurance","authors":"Xiaowen Sun, Cheng Zhou, Xiaodong Duan, Tao Sun","doi":"10.12688/digitaltwin.17448.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17448.1","url":null,"abstract":"With the gradual development of the 5G industry network and applications, each industry application has various network performance requirements, while customers hope to upgrade their industrial structures by leveraging 5G technologies. The guarantee of service level agreement (SLA) requirements is becoming more and more important, especially SLA performance indicators, such as delay, jitter, bandwidth, etc. For network operators to fulfill customer’s requirements, emerging network technologies such as time-sensitive networking (TSN), edge computing (EC) and network slicing are introduced into the mobile network to improve network performance, which increase the complexity of the network operation and maintenance (O&M), as well as the network cost. As a result, operators urgently need new solutions to achieve low-cost and high-efficiency network SLA management. In this paper, a digital twin network (DTN) solution is innovatively proposed to achieve the mapping and full lifecycle management of the end-to-end physical network. All the network operation policies such as configuration and modification can be generated and verified inside the digital twin network first to make sure that the SLA requirements can be fulfilled without affecting the related network environment and the performance of the other network services, making network operation and maintenance more effective and accurate.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41447876","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}

引用次数: 3

Inaugural Editorial - Digital Twin 首期社论-数字孪生

Digital Twin Pub Date : 2021-09-22 DOI: 10.12688/digitaltwin.17471.1

Fei Tao, Qinglin Qi, Ang Liu

引用次数: 1

Digital twin data: methods and key technologies 数字孪生数据:方法与关键技术

Digital Twin Pub Date : 2021-09-22 DOI: 10.12688/digitaltwin.17467.1

Meng Zhang, F. Tao, Biqing Huang, Ang Liu, Lihui Wang, N. Anwer, A. Nee

引用次数: 23

Artificial cognitive systems: the next generation of the digital twin. An opinion. 人工认知系统:下一代数字孪生。一个意见。

Digital Twin Pub Date : 2021-09-22 DOI: 10.12688/digitaltwin.17440.1

David Jones

引用次数: 2

Digital twins and their use in future power systems 数字孪生及其在未来电力系统中的应用

Digital Twin Pub Date : 2021-09-22 DOI: 10.12688/digitaltwin.17435.1

P. Palensky, M. Cvetković, D. Gusain, Arun Joseph

引用次数: 34

Mechanical movement data acquisition method based on the multilayer neural networks and machine vision in a digital twin environment 数字孪生环境下基于多层神经网络和机器视觉的机械运动数据采集方法

Digital Twin Pub Date : 2021-01-01 DOI: 10.12688/digitaltwin.17441.1

Hao Li, Gengdai Liu, Haoqi Wang, Xiaoyu Wen, G. Xie, Guofu Luo, Shuai Zhang, Miying Yang

{"title":"Mechanical movement data acquisition method based on the multilayer neural networks and machine vision in a digital twin environment","authors":"Hao Li, Gengdai Liu, Haoqi Wang, Xiaoyu Wen, G. Xie, Guofu Luo, Shuai Zhang, Miying Yang","doi":"10.12688/digitaltwin.17441.1","DOIUrl":"https://doi.org/10.12688/digitaltwin.17441.1","url":null,"abstract":"Background: Digital twin requires virtual reality mapping and optimization iteration between physical devices and virtual models. The mechanical movement data collection of physical equipment is essential for the implementation of accurate virtual and physical synchronization in a digital twin environment. However, the traditional approach relying on PLC (programmable logic control) fails to collect various mechanical motion state data. Additionally, few investigations have used machine visions for the virtual and physical synchronization of equipment. Thus, this paper presents a mechanical movement data acquisition method based on multilayer neural networks and machine vision. Methods: Firstly, various visual marks with different colors and shapes are designed for marking physical devices. Secondly, a recognition method based on the Hough transform and histogram feature is proposed to realize the recognition of shape and color features respectively. Then, the multilayer neural network model is introduced in the visual mark location. The neural network is trained by the dropout algorithm to realize the tracking and location of the visual mark. To test the proposed method, 1000 samples were selected. Results: The experiment results shows that when the size of the visual mark is larger than 6mm, the recognition success rate of the recognition algorithm can reach more than 95%. In the actual operation environment with multiple cameras, the identification points can be located more accurately. Moreover, the camera calibration process of binocular and multi-eye vision can be simplified by the multilayer neural networks. Conclusions: This study proposes an effective method in the collection of mechanical motion data of physical equipment in a digital twin environment. Further studies are needed to perceive posture and shape data of physical entities under the multi-camera redundant shooting.","PeriodicalId":29831,"journal":{"name":"Digital Twin","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66400040","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}

引用次数: 2