China Mechanical Engineering ›› 2023, Vol. 34 ›› Issue (18): 2248-2256.DOI: 10.3969/j.issn.1004-132X.2023.18.012

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Collaborative Visualization Analysis of Train Dynamics by Cloud Simulation-driven

WANG Liting1;TANG Zhao1;LI Rong2;GU Zheng1;HU Yuwei1;LI Yuehong1;ZHANG Jiye1   

  1. 1.State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu,610031
    2.School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,610031
  • Online:2023-09-25 Published:2023-10-19

云仿真驱动的列车动力学协同可视化分析

王力霆1;唐兆1;黎荣2;辜铮1;胡玉炜1;李岳洪1;张继业1   

  1. 1.西南交通大学牵引动力国家重点实验室,成都, 610031
    2.西南交通大学机械工程学院,成都, 610031
  • 通讯作者: 唐兆(通信作者),男,1979年生,博士、副研究员。研究方向为数字孪生与列车动力学。E-mail:tangzhao@swjtu.edu.cn。
  • 作者简介:王力霆 ,男,1998年生,硕士研究生。研究方向为列车动力学仿真、在线可视化、云计算。E-mail:15520711209@163.com。
  • 基金资助:
    国家重点研发计划(2020YFB1711402);四川省自然科学基金(2022NSFSC0415)

Abstract: To address the challenges of insufficient automation in scene construction, inconvenient multi-role multi-user collaboration, poor analysis timeliness of analysis, and high client hardware requirements in the traditional train dynamics analysis processes, a cloud simulation-driven train dynamics collaborative visualization analysis framework driven by simulation was proposed. A train dynamics simulation and visualization analysis framework, a remote visualization interaction framework, and a solver integration model for real-time analysis were designed. These respectively achieved service-oriented multi-dimensional visualization analysis scene construction, multi-role and multi-group collaborative remote visualization analysis, and efficient module interconnection and node elastic expansion. Based on the proposed framework, a software system was built and validated in the project. The validation results show that the framework and system have outstanding visualization performance and concurrent solving capabilities while ensuring accuracy. The successful applications of the framework also indicate that cloud simulation has great potential for use in train dynamics visualization analysis. 

Key words: cloud simulation, real-time visualization, cloud rendering, web real-time communication(WebRTC) technology, integrated model

摘要: 为应对传统列车动力学仿真分析过程中场景构建自动化程度不足、多角色多用户协同不便、分析时效性差、客户端硬件需求高等挑战,提出了一种云仿真驱动的列车动力学协同可视化分析框架。设计了面向列车动力学的仿真分析场景搭建框架、远程可视化交互框架、面向实时分析的求解器集成模型,分别实现了多维度可视化分析场景搭建服务化、多角色多组协同的远程可视化分析、模块高效联通与节点弹性扩展。基于所提框架构建了软件系统,并在项目中得到了验证,验证结果表明:该框架与系统在保证精度的同时具有优秀的可视化性能与并发求解能力。框架的成功应用也表明云仿真在列车动力学可视化分析中有较大应用潜力。

关键词: 云仿真, 实时可视化, 云渲染, WebRTC技术, 集成模型

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