铁道车辆动力学云平台架构设计及原型验证

doi:10.16182/j.issn1004731x.joss.21-0379

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (09): 2056-2064.doi: 10.16182/j.issn1004731x.joss.21-0379

• 仿真支撑平台/系统技术 • 上一篇下一篇

铁道车辆动力学云平台架构设计及原型验证

盛俊杰(), 唐兆(), 董少迪, 吴舒扬, 梁浩

西南交通大学　牵引动力国家重点实验室，四川　成都　610031

收稿日期:2021-04-29 修回日期:2021-08-04 出版日期:2022-09-18 发布日期:2022-09-23
通讯作者: 唐兆 E-mail:shengjj1997@163.com;tangzhao@swjtu.edu.cn
作者简介:盛俊杰（1997-），男，硕士生，研究方向为列车系统动力学仿真和可视化。E-mail：shengjj1997@163.com
基金资助:
国家重点研发计划(2020YFB1711402);国家自然科学基金(52172407)

Architecture Design and Prototype Verification of Railway Vehicle Dynamics Cloud Platform

Junjie Sheng(), Zhao Tang(), Shaodi Dong, Shuyang Wu, Hao Liang

State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

Received:2021-04-29 Revised:2021-08-04 Online:2022-09-18 Published:2022-09-23
Contact: Zhao Tang E-mail:shengjj1997@163.com;tangzhao@swjtu.edu.cn

摘要/Abstract

摘要：

现阶段铁道车辆动力学领域的基础仿真软件多为单机模式，基于单机模式开发追赶国外先进仿真软件短时间难以达到，鉴于此，提出一套基于云平台的自主可控的车辆系统动力学软件架构。依据车辆系统动力学理论，依托云服务，搭建拥有自动化流程建模、云计算、后处理分析等功能的平台。在此基础上建立拖车仿真模型，并与SIMPACK仿真计算结果进行对比研究车辆动力学性能，验证平台的可用性和可靠性。平台的实现在一定程度上可以替代常用的铁道车辆动力学软件，可为同类型软件的开发提供参考。

关键词: 车辆系统动力学, 自主可控, 仿真对比, 动力学性能, 云平台

Abstract:

Since almost all the software in the railway vehicle field is controlled by foreign capital, it is difficult to catch up with the development of independent vehicle system software based on single machine deployment mode in a short time. In view of this, a set of autonomous and controllable vehicle system dynamics software architecture based on cloud platform is proposed. Based on the railway vehicle system dynamics and cloud services, a cloud platform with automatic process modeling, cloud computing,post-processing analysis is built. A simulation model of a trailer caris applied in the platform, and compared with the SIMPACK simulation results to verify the availability and reliability of the platform.The implementation of the platform could replace the commonly used software for railway vehicle dynamics to a certain extent, which can provide reference for the development of similar software.

Key words: railway vehicle system, autonomous controllable, simulation contrast, dynamic performance, cloud platform

中图分类号:

TP391.9

盛俊杰, 唐兆, 董少迪, 吴舒扬, 梁浩. 铁道车辆动力学云平台架构设计及原型验证[J]. 系统仿真学报, 2022, 34(09): 2056-2064.

Junjie Sheng, Zhao Tang, Shaodi Dong, Shuyang Wu, Hao Liang. Architecture Design and Prototype Verification of Railway Vehicle Dynamics Cloud Platform[J]. Journal of System Simulation, 2022, 34(09): 2056-2064.

图/表 11

图1

图2

图3

图4

图5

表1

图6

图7

表2

表3

图8

参考文献 20

[1]	Chang Chao, Ling Liang, Han Zhaoling, et al. High-Speed Train-Track-Bridge Dynamic Interaction considering Wheel-Rail Contact Nonlinearity due to Wheel Hollow Wear[J]. Shock and Vibration (S1070-9622), 2019, 2019: 1-18.
[2]	李响, 任尊松, 徐宁, 等. 基于转向架悬挂参数与踏面锥度优化的高速车辆动力学性能分析[J]. 铁道学报, 2018, 40(3): 39-44.
	Li Xiang, Ren Zunsong, Xu Ning, et al. Dynamic Performance Analysis of High-Speed Vehicle Based on Optimization of Bogie Suspension Parameters and Tread Conicity[J]. Journal of the China Railway Society, 2018, 40(3): 39-44.
[3]	戚壮, 梁钰, 王晓雷, 等. 应用于高速轮轨滚动接触的蠕滑理论算法对比研究[J]. 摩擦学学报, 2019, 39(3): 319-329.
	Qi Zhuang, Liang Yu, Wang Xiaolei, et al. Comparative Study on the Theory of Creeping Theory Applied to High Speed Wheel-Rail Rolling Contact[J]. Tribology, 2019, 39(3): 319-329.
[4]	闫一凡, 齐洪峰, 罗林涛, 等. 基于UM的高速磁浮车辆刚柔耦合建模及振动传递规律研究[J]. 铁道机车车辆, 2019, 35(5): 59-64,126.
	Yan Yifan, Qi Hongfeng, Luo Lintao, et al. Rigid-flexible Coupled Modeling of High-speed Maglev Vehicle and Vibration Transmitting Research Base on UM[J]. Railways Locomotive & Car, 2019, 35(5): 59-64,126.
[5]	Gao Mingyuan, Cong Jianli, Xiao Jieling, et al. Dynamic Modeling and Experimental Investigation of Self-Powered Sensor Nodes for Freight Rail Transport[J].Applied Energy (S0306-2619), 2020, 257: 113969.
[6]	陈春棉, 刘国伟. 密接式车钩冲击连挂过程仿真研究[J]. 计算机与数字工程, 2021, 49(2): 408-411.
	Chen Chunmian, Liu Guowei. Simulation Analysis of the Impact Coupling Process of the Tight-Lock Coupler[J]. Computer & Digital Engineering, 2021, 49(2): 408-411.
[7]	Meng Jianjun, Xu Ruxun, Li Decang. Robust Nonfragile H_∞ Control of Lateral Semiactive Suspension of Rail Vehicles[J]. Discrete Dynamics in Nature and Society (S1026-0226), 2019(1): 1-12.
[8]	Wang Yixuan, Chen Enli, Liu Pengfei, et al. A Simplification of Railway Vehicle Lateral Vibration Model Based on LQG Control Strategy[J]. Australian Journal of Mechanical Engineering (S1448-4846), 2018, 16(2): 147-161.
[9]	Xu Jingmang, Gao Yuan, Wang Ping, et al. Numerical Analysis for Investigating Wheel-Rail Impact Contact in a Flange Bearing Frog Crossing[J]. Wear (S0043-1648), 2020, 450: 203253.
[10]	翟婉明, 孙翔, 詹斐生. 机车车辆与轨道垂向相互作用的计算机仿真研究[J]. 中国铁道科学, 1993(1): 42-50.
	Zhai Wanming, Sun Xiang, Zhan Feisheng. Computer Simulation of the Vertical Dynamic Interactions Between Track and Train[J]. China Railway Science, 1993(1): 42-50.
[11]	沈钢, 曹志礼. 机车车辆动力学集成仿真系统的开发[J]. 铁道车辆, 1997(12): 3-7.
	Shen Gang, Cao Zhili. Development of Integrated Simulation System for Rolling Stock Dynamic[J].Rolling Stock, 1997(12): 3-7.
[12]	王开云, 翟婉明. 车辆—轨道耦合动力学仿真软件TTISIM及其试验验证[J]. 中国铁道科学, 2004(6): 49-54.
	Wang Kaiyun, Zhai Wanming. TTISIM Software for Vehicle-Track Coupling Dynamics Simulation and Its Verification[J]. China Railway Science, 2004(6): 49-54.
[13]	魏伟, 赵旭宝, 姜岩, 等. 列车空气制动与纵向动力学集成仿真[J]. 铁道学报, 2012, 34(4): 39-46.
	Wei Wei, Zhao Xubao, Jiang Yan, et al. The Integrated Model of Train Air Brake and Longitudinal Dynamics[J].Journal of the China Railway Society, 2012, 34(4): 39-46.
[14]	干锋, 戴焕云, 高浩. 磨耗车轮踏面精确轮轨接触关系计算方法[J]. 交通运输工程学报, 2014, 14(3): 43-51.
	Gan Feng, Dai Huanyun, Gao Hao. Calculation Method of Accurate Wheel-Rail Contact Relationship of Worn Wheel Tread[J]. Journal of Traffic and Transportation Engineering, 2014, 14(3): 43-51.
[15]	汪松松, 彭来湖, 戴宁, 等. 基于工业互联网的针织机械互联互通结构研究[J]. 纺织学报, 2020, 41(1): 165-173.
	Wang Songsong, Peng Laihu, Dai Ning, et al. Research on Knitting Machine Interconnection and Interoperability Structure Based on Industrial Internet[J].Journal of Textile Research, 2020, 41(1): 165-173.
[16]	窦林名, 王盛川, 巩思园, 等. 冲击矿压风险智能判识与监测预警云平台[J]. 煤炭学报, 2020, 45(6): 2248-2255.
	Dou Linming, Wang Shengchuan, Gong Siyuan, et al. Cloud Platform of Rock-Burst Intelligent Risk Assessment and Multi-Parameter Monitoring and Early Warning[J]. Journal of China Coal Society, 2020, 45(6): 2248-2255.
[17]	张志华, 王梦情, 毛文涛, 等. 基于时序相关性的云平台多负载序列联合预测[J]. 北京邮电大学学报, 2020, 43(4): 68-75.
	Zhang Zhihua, Wang Mengqing, Mao Wentao, et al. Joint Prediction of Multi-Workload Sequences Based on Temporal Correlation in the Cloud[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(4): 68-75.
[18]	翟婉明. 车辆-轨道耦合动力学[M]. 4版. 北京: 科学出版社, 2015.
	Zhai Wanming. Vehicle-Track Coupling Dynamics[M]. 4th ed. Beijing: Science Press, 2015.
[19]	段文雪, 胡铭, 周琼, 等. 云计算系统可靠性研究综述[J]. 计算机研究与发展, 2020, 57(1): 102-123.
	Duan Wenxue, Hu Ming, Zhou Qiong, et al. Reliability in Cloud Computing System: A Review[J]. Journal of Computer Research and Development, 2020, 57(1): 102-123.
[20]	GB/T 5599-2019. 机车车辆动力学性能评定及试验鉴定规范[S].
	GB/T 5599-2019. Specification for Dynamic Performance Assessment and Testing Verification of Rolling Stock[S].

速度/(m·s^-1)	轮轴横向力/kN
速度/(m·s^-1)	SIMPACK	仿真软件
38.89	1.741	4.758
44.44	1.718	5.230
50.00	1.700	5.445
55.50	1.679	5.610
61.11	1.787	5.510
66.67	1.812	5.561

动力学性能指标	SIMPACK	仿真软件
脱轨系数	0.029	0.095
轮轴横向力/kN	1.87	5.96

动力学性能指标	SIMPACK	仿真软件
横向加速度	0.050	0.052
垂向加速度	0.052	0.060

铁道车辆动力学云平台架构设计及原型验证

Architecture Design and Prototype Verification of Railway Vehicle Dynamics Cloud Platform

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 20

相关文章 9

编辑推荐

Metrics

本文评价

[1]	赵英燕, 曹群生, 曹振南, 王建春. 国产船舶水动力数值软件在工业云平台的实现[J]. 系统仿真学报, 2022, 34(8): 1855-1863.
[2]	刘渊, 薛新毅, 王晓锋. 基于云平台的Starlink星座高性能仿真技术研究[J]. 系统仿真学报, 2022, 34(10): 2221-2232.
[3]	张天瀛, 姬杭, 周军华, 陶栾. 云端工具集成和管理方法研究[J]. 系统仿真学报, 2021, 33(12): 2911-2918.
[4]	石瑞杰, 邹萍, 吴夕科, 刘刚, 高晨, 张俊媛, 李琳, 郭立. 电工装备行业云端协同制造及仿真应用研究[J]. 系统仿真学报, 2019, 31(4): 771-786.
[5]	杜晔, 张田甜, 黎妹红. 基于信息密度贝叶斯算法的云平台入侵检测[J]. 系统仿真学报, 2018, 30(2): 714-722.
[6]	刘英杰, 刘云, 郭姗姗. 基于模型预测控制的汽车操纵逆问题研究[J]. 系统仿真学报, 2018, 30(1): 304-310.
[7]	薛胜军, 张佩云, 陈静怡. 云平台下基于半朴素贝叶斯的降雨量预测[J]. 系统仿真学报, 2016, 28(5): 1117-1123.
[8]	田赤军, 沈胜兵, 李艳雷, 王宪宗, 郭卓锋. 基于光纤反射内存网实现远程协同仿真方法[J]. 系统仿真学报, 2015, 27(8): 1766-1773.
[9]	周利敏, 傅妍芳, 高武奇, 高祥, 程兵. 基于云仿真平台的高可用技术研究[J]. 系统仿真学报, 2015, 27(4): 786-793.