逻辑与模型数据并行计算的数字孪生车间系统快速架构方法

doi:10.3901/JME.2021.17.076

机械工程学报 ›› 2021, Vol. 57 ›› Issue (17): 76-85.doi: 10.3901/JME.2021.17.076

• 特邀专栏：智能制造前沿及应用 • 上一篇下一篇

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逻辑与模型数据并行计算的数字孪生车间系统快速架构方法

李莎莎¹, 舒亮¹, 杨艳芳², 陈定方²

1. 温州大学浙江省低压电器工程技术研究中心温州 325027;
2. 武汉理工大学港口物流技术与装备教育部工程研究中心武汉 430063

收稿日期:2020-12-24 修回日期:2021-05-09 发布日期:2021-11-16
通讯作者: 舒亮(通信作者),男,1982年出生,博士,教授,硕士研究生导师。主要研究方向为智能机电系统设计与仿真。E-mail:shuliangalbert@163.com
作者简介:李莎莎,女,1995年出生。主要研究方向为虚拟设计/制造及计算机仿真。E-mail:lishasha821@163.com
基金资助:
国家自然科学基金（51975418）、浙江省重点研发计划（2021C01046）、温州市重大科技专项（2018ZG020）、温州市重大科技创新攻关工业项目（ZG2019017）和浙江省低压电器工程技术研究中心开放基金（201711-01）资助项目。

Digital Twin Workshop System Rapid Construction Method Based on Parallel Computing of Logic and Model Data

LI Shasha¹, SHU Liang¹, YANG Yanfang², CHEN Dingfang²

1. Low Voltage Apparatus Technology Research Center of Zhejiang, Wenzhou University, Wenzhou 325027;
2. Engineering Research Center of Port Logistics Technology and Equipment, Ministry of Education, Wuhan University of Technology, Wuhan 430063

Received:2020-12-24 Revised:2021-05-09 Published:2021-11-16

摘要/Abstract

摘要： 为提高数字孪生车间系统运行过程中映射关系的忠实性与实时性，提出一种逻辑与模型数据并行计算的数字孪生车间系统快速架构方法。采用车间物理信息建模的方式描述模型和逻辑信息并搭建数字孪生车间的构建规则，分别对系统静态模型数据和动态逻辑数据进行建模分析，将静态模型顶点、面片等数据作为数组发送至GPU常量缓存区，在缓存区中通过矩阵转换预设静态孪生模型在虚拟空间中的位置变换，通过GPU常量缓存区和预置变换对静态模型数据进行并行处理，提升计算效率。验证结果表明，在相同的工艺逻辑数据和模型数量条件下，所提出的孪生系统架构方法可以将GPU使用效率由43%提升至86%，运行帧数由22.6提升至387.0，大幅提升数字孪生系统的执行效率和性能。

关键词: 并行计算, 数字孪生车间, 系统架构, 系统优化

Abstract: To improve the consistence and real-time performance of the digital twin workshop system, a rapid construction method for the digital twin workshop system is proposed based on the parallel computing of logic and model data. Through modeling the physical information, the model and logical information can be constructed in digital twin workshop. Also, the construction principles of digital twin workshop are established, and improving the faithful mapping of twin relationships. The data of static model and of dynamic logic are modeled and analyzed. Through sending the static model data such as vertices, patches of the models into the GPU buffer, the static twin model can be computed based on predefined matrix conversion for position transformation and rotation. Then the parallel computing of logic and model data can be realized and the consistence and real-time performance of the digital twin workshop system can be guaranteed. Finally, a numerical experiment is implemented to verify feasibility and effectiveness of the proposed method. The results show that the proposed method is capable to improve the GPU utilization from 43% to 86%, and to improve the rendering efficiency of the digital twin workshop from 22.6 fps to 387.0 fps.

Key words: parallel computing, digital twin workshop, system structure, system optimization

中图分类号:

TH164

李莎莎, 舒亮, 杨艳芳, 陈定方. 逻辑与模型数据并行计算的数字孪生车间系统快速架构方法[J]. 机械工程学报, 2021, 57(17): 76-85.

LI Shasha, SHU Liang, YANG Yanfang, CHEN Dingfang. Digital Twin Workshop System Rapid Construction Method Based on Parallel Computing of Logic and Model Data[J]. Journal of Mechanical Engineering, 2021, 57(17): 76-85.

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逻辑与模型数据并行计算的数字孪生车间系统快速架构方法

Digital Twin Workshop System Rapid Construction Method Based on Parallel Computing of Logic and Model Data

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