• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 54 Issue 6
Nov.  2019
Turn off MathJax
Article Contents
WANG Jin, ZHI Jinyi, XIANG Zerui, LI Ran, XU Xiaofei, YAN Lei, XU Gang. Evaluation Method of Seat Comfort for High-Speed Trains Based on Seat Ergonomic Parameters[J]. Journal of Southwest Jiaotong University, 2019, 54(6): 1342-1348. doi: 10.3969/j.issn.0258-2724.20180499
Citation: WANG Jin, ZHI Jinyi, XIANG Zerui, LI Ran, XU Xiaofei, YAN Lei, XU Gang. Evaluation Method of Seat Comfort for High-Speed Trains Based on Seat Ergonomic Parameters[J]. Journal of Southwest Jiaotong University, 2019, 54(6): 1342-1348. doi: 10.3969/j.issn.0258-2724.20180499

Evaluation Method of Seat Comfort for High-Speed Trains Based on Seat Ergonomic Parameters

doi: 10.3969/j.issn.0258-2724.20180499
  • Received Date: 13 Jun 2018
  • Rev Recd Date: 13 Sep 2018
  • Available Online: 20 Sep 2018
  • Publish Date: 01 Dec 2019
  • To reduce the cost in the comfort evaluation of high-speed trains and avoid strenuous questionnaire investigation and statistical analysis, the static comfort evaluation method of high speed train seats is studied. Firstly, the seat comfort calculation method is derived by determining the comfort evaluation index and index weight for high-speed train seats. Secondly, the BP neural network is used to construct a static seat comfort evaluation model, which takes the 8 ergonomic parameters of the high-speed train seat as the input and the seat comfort evaluation as the output. Finally, a case study is carried out to train and verify the constructed neural network evaluation model, and the weights and thresholds of the neural network are extracted to construct a mathematical expression of the neural network. The results show that when the neural network has one hidden layer and 13 nodes, the training achieves the desirable results with the mean error of 2.13×10−3 and mean square error of 6.091×10−6, and there is no over fitting. The network is verified by the real ergonomic data of the first-class and second-class seats in CHR2 and the corresponding comfort evaluations. The error of first-class seats between the predicted value of neural network and the actual one is 3.07%, and the error of second-class seats is 1.42%, demonstrating that the network model has high prediction accuracy and is superior to the multiple regression model.

     

  • loading
  • 彭波. 铁道客车乘坐舒适性建模、仿真与虚拟试验研究[D]. 长沙: 中南大学, 2010.
    张卫华,王伯铭. 中国高速列车的创新发展[J]. 机车电传动,2010(1): 8-12.

    ZHANG Weihua, WANG Boming. Innovation and development of high-speed railway in China[J]. Electric Drive for Locomotives, 2010(1): 8-12.
    陈祥. 高速铁路客车乘坐舒适度综合评价模型研究[D]. 成都: 西南交通大学, 2010.
    SHACKEL B, CHIDSEY K D, SHIPLEY P. The assessment of chair comfort[J]. Ergonomics, 1969, 12(2): 269-306. doi: 10.1080/00140136908931053
    SMITH D R, ANDREWS D M, WAWROW P T. Development and evaluation of the automotive seating discomfort questionnaire (ASDQ)[J]. International Journal of Industrial Ergonomics, 2006, 36(2): 141-149. doi: 10.1016/j.ergon.2005.09.005
    SAMMONDS G M, FRAY M, MANSFIELD N J. Effect of long term driving on driver discomfort and its relationship with seat fidgets and movements (SFMs)[J]. Applied Ergonomics, 2017, 58: 119-127. doi: 10.1016/j.apergo.2016.05.009
    ZENK R, FRANZ M, BUBB H, et al. Technical note:spine loading in automotive seating[J]. Applied Ergonomics, 2012, 43(2): 290-295. doi: 10.1016/j.apergo.2011.06.004
    BERTOLACCINI G D S, NAKAJIMA R K, PASCHOARELLI L C, et al. The influence of seat height,trunk inclination and hip posture on the activity of the superior trapezius and longissimus[J]. Journal of Physical Therapy Science, 2016, 28(5): 1602-1606. doi: 10.1589/jpts.28.1602
    KOYANO M, KIMISHIMA T, NAKAYAMA K. Quantification of static seating comfort of motorcycle seats[J]. JSAE Review, 2003, 24(1): 99-104. doi: 10.1016/S0389-4304(02)00251-5
    KOLICH M. Predicting automobile seat comfort using a neural network[J]. International Journal of Industrial Ergonomics, 2004, 33(4): 285-293. doi: 10.1016/j.ergon.2003.10.004
    李培松,马佳,杨海霞,等. 运用模糊神经网络的汽车座椅舒适性评价[J]. 工业工程,2010,13(1): 97-100. doi: 10.3969/j.issn.1007-5429.2010.01.019

    LI Peisong, MA Jia, YANG Haixia, et al. Comfort evaluation of automobile seats by using fuzzy neural networks[J]. Industrial Engineering Journal, 2010, 13(1): 97-100. doi: 10.3969/j.issn.1007-5429.2010.01.019
    马佳,柯艺杰,苏强,等. 汽车座椅舒适度人工智能评价方法研究[J]. 机械科学与技术,2011,30(3): 419-422.

    MA Jia, KE Yijie, SU Qiang, et al. An automobile seat comfort evaluating method based on artificial intelligence[J]. Mechanical Science and Technology for Aerospace Engineering, 2011, 30(3): 419-422.
    孙守迁,吴群,吴剑锋,等. 一种基于支持向量回归的驾驶座椅舒适度评价方法[J]. 中国机械工程,2008(11): 1326-1330. doi: 10.3321/j.issn:1004-132X.2008.11.015

    SUN Shouqian, WU Qun, WU Jianfeng, et al. An evolution method of driving seat comfort based on support vector regression[J]. China Mechanical Engineering, 2008(11): 1326-1330. doi: 10.3321/j.issn:1004-132X.2008.11.015
    蒲骄子,李延来,刘宗鑫. 基于文本挖掘与神经网络的高速列车意象造型设计[J]. 机械设计,2017(9): 101-105. doi: 10.3969/j.issn.2095-509X.2017.09.025

    PU Jiaozi, LI Yanlai, LIU Zongxin. Image modeling design of high-speed train based on text mining and neural network[J]. Journal of Machine Design, 2017(9): 101-105. doi: 10.3969/j.issn.2095-509X.2017.09.025
    马佳,范智声,李飞飞,等. 基于人工神经网络的汽车座椅舒适度评价模型[J]. 工业工程,2008(5): 106-109. doi: 10.3969/j.issn.1007-5429.2008.05.020

    MA Jia, FAN Zhisheng, LI Feifei, et al. Evaluation of automobile seat comfort based on artificial neural networks[J]. Industrial Engineering Journal, 2008(5): 106-109. doi: 10.3969/j.issn.1007-5429.2008.05.020
    祝燕萍,方鸽飞. 基于动态自适应神经网络和人体舒适度的短期负荷预测[J]. 电力系统保护与控制,2012,40(1): 56-61. doi: 10.3969/j.issn.1674-3415.2012.01.010

    ZHU Yanping, FANG Gefei. Short-term load forecasting based on dynamic adaptive artificial neural network and human body amenity indicator[J]. Power System Protection and Control, 2012, 40(1): 56-61. doi: 10.3969/j.issn.1674-3415.2012.01.010
    徐明,夏群生. 体压分布的指标[J]. 中国机械工程,1997,8(1): 65-68. doi: 10.3321/j.issn:1004-132X.1997.01.022

    XU Ming, XIA Qunsheng. The index of body pressure distribution[J]. China Mechanical Engineering, 1997, 8(1): 65-68. doi: 10.3321/j.issn:1004-132X.1997.01.022
    曹志伟,李娟. 轨道车辆座椅舒适度评价方法及研究展望[J]. 包装工程,2017(2): 21-25.

    CAO Zhiwei, LI Juan. Evaluation methods and research prospects for rail vehicle seating comfort[J]. Packaging Engineering, 2017(2): 21-25.
    苏晓峰. 我国中高速旅客列车座椅设计模式探讨[J]. 铁道车辆,1999(12): 25-26.

    SU Xiaofeng. Discussion on seat design mode of medium and high speed passenger trains in China[J]. Rolling Stock, 1999(12): 25-26.
    霍笑,孙文磊,陶庆,等. 基于坐姿分析的座椅舒适度测试与评价[J]. 工程设计学报,2017(3): 286-294. doi: 10.3785/j.issn.1006-754X.2017.03.007

    HUO Xiao, SUN Wenlei, TAO Qing, et al. Seat comfort test and evaluation based on sitting posture analyses[J]. Chinese Journal of Engineering Design, 2017(3): 286-294. doi: 10.3785/j.issn.1006-754X.2017.03.007
    李娟. 高速列车乘客座椅" 人-椅”接触面的舒服度设计研究[D]. 成都: 西南交通大学, 2014.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(4)

    Article views(494) PDF downloads(34) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return