【作者】 王海涌；

【导师】 王晓明；

【作者基本信息】 兰州交通大学 ， 交通信息工程及控制， 2014， 博士

【摘要】 随着我国高速铁路的快速发展,在加快推进我国高速列车运行技术国产化的进程中,不仅要加强运行技术方面的研究,进一步完善高速列车的制造技术、设备及工艺标准,更重要的是加强旅客乘坐舒适度的相关理论研究。科学系统地对旅客乘坐舒适度进行量化和系统分析,探索并完善舒适度问题分析及其评价理论,运用智能算法及多元分析方法,建立高速列车舒适度分析、评价模型及基于舒适度的线路参数优化方法,为我国新一代更高速度列车的设计与制造、线路设计及优化提供更为全面的理论方法与参考依据。本文在总结国内外相关研究成果的基础上,以高速列车舒适度评价为主线,综合应用模糊粗糙集、多维联系数等理论及定性与定量相结合的方法,建立了高速列车舒适度评价模型,深入研究了多元舒适度模型及其评价指标体系的构建、优化和权重标定方法等关键问题,并将舒适度的评价应用于高速铁路线路参数的设计与优化,建立了基于舒适度的高速铁路线路设计与优化模型。首先,本文通过对舒适度内涵及其演化过程的研究和分析,建立了基于旅客为核心的多元舒适度复杂系统,系统分析了旅客、高速列车、线路质量与乘用环境总体性能及运营管理之间相互影响关系。结合人机工程学、机车车辆动力学等相关理论,构建了包含基于人体动力学的物理舒适度、基于人体心理学的心理舒适度和基于人体生理学的生理舒适度的多元舒适度模型。其次,通过对列车振动、噪声、车内压力、空气质量以及乘用环境和个性化需求与服务等评价指标特性及相关计算方法的研究和分析,构建了以旅客为主体,以旅客躯体感觉、视觉、听觉、嗅觉和触觉为输入的高速列车多元舒适度旅客感知模型及高速列车多元舒适度评价指标体系和相应指标的标准限值区间。并对多元舒适度评价指标体系冗余和包含关系进行了深入的分析和研究,结合粗糙集、灰色聚类及网络分析法等理论,构建了基于灰色粗糙集的高速列车多元舒适度评价指标体系优化方法和基于网络分析法和变精度粗糙集的评价指标权重标定方法,指导评价指标权重的标定,使指标权重的确定更加客观合理。再次,通过对复杂系统性能评价方法的学习和研究,结合本文构建的评价指标体系及相应的优化方法,利用粗糙集、模糊数学和多维联系数等理论,分别建立了基于模糊粗糙集的高速列车多元舒适度评价模型和基于多维粗糙集的高速列车多元舒适度评价模型,并通过实例计算分析,验证了所建模型及方法的可行性和有效性。然后,系统分析和研究了高速铁路线路参数与舒适度的关系,结合IS02631国际标准及我国高速铁路设计规范和要求,建立了基于线路参数的高速列车舒适度评价方法及评价等级确定方法,并通过实例进一步分析了基于舒适度的线路参数设计机理,重点研究了平面曲线半径最小值的设计与优化问题。最后,对本文所建立的高速列车多元舒适度评价指标体系优化及指标权重标定、舒适度评价及线路设计与优化模型和方法进行了系统仿真与实现。详细设计了高速列车多元舒适度评价及应用系统的总体架构、信息流程和子系统功能,并结合功能界面、系统测试和运行结果分析,进一步验证了本文所提出的理论、方法以及所构建模型的正确性、可行性和有效性。更多还原

【Abstract】 With the rapid development of high-speed railway in China, the project of speeding up the localization of high-speed train operation technology is under way. Not only is it necessary to strengthen the research on operation technology to further improve the manufacturing technology, equipment and process standards of the high-speed train, it is also urgent to enhance the research on theories relevant to the comfort for passengers. This dissertation makes a quantitative and systematic analysis of the degree of comfort of the passengers, explores and improves the analysis on comfort as well as its evaluation theory and establishes the analysis on the comfort for high-speed train, evaluation model and track parameter optimization method based on the comfort by using intelligent algorithm and multivariate analysis method in order to provide a more comprehensive theoretical method and reference for the design and manufacturing, track design and optimization of the new generation of higher-speed trains in our country.Based on the related research both abroad and at home, this dissertation focuses on the comfort evaluation of high-speed trains. By using theories such as fuzzy rough sets and multivariate connection number as well as the qualitative and quantitative methods, it establishes a comfort evaluation model of high-speed trains, makes an in-depth research on key problems such as the construction and optimization of multivariate comfort model and its evaluation index system, weight calibration method, and so on. In addition, it applies the comfort evaluation to the design and optimization of track parameter for high-speed railway and establishes a model of a design and optimization for high-speed railway tracks based on the comfort.The dissertation attempts to do some research in the following 5 aspects. First of all, it establishes a complex multivariate comfort system of passengers- centered on probing and analyzing the connotation of comfort and its evolution, and makes a systematical analysis of the mutual influential relationship between passengers, high-speed trains, track quality,overall performance of train environment, and operation management. According to the relevant theories such as ergonomics and rolling stock dynamics, this dissertation constructs a multivariate comfort model based on the physical comfort in Human Dynamics,psychological comfort in Human Psychology and physiological comfort in Human Physiology.Secondly, by means of researching and analyzing the features of evaluation index including noise, pressure, air quality and the environment along with passengers’ personalized demand and services and related calculation methods, a multivariate comfort perception model for high-speed trains, with passengers centered and passenger’s somesthesia, vision,hearing, smell input, are also constructed, as well as a multivariate comfort evaluation system and the standard limit value interval of corresponding indices of high-speed trains. Meanwhile,an in-depth research and analysis on the redundancy and inclusion relationship of multivariate comfort evaluation system has been made; Combined with the theories of rough set, gray clustering and network analysis method, the optimization methods of the evaluation index system based on gray rough sets of high-speed trains diverse comfort, and evaluation index weight demarcation system based on the weight of ANP & VPRS are built to guide the evaluation index weight demarcation so as to make the index weight more objective and reasonable.Thirdly, by learning and researching complex system performance evaluation method,combined with evaluation index system and the corresponding optimization method, the study used the theories of rough sets, fuzzy mathematics and multidimensional connecting number,set up two evaluation models of multivariate comfort FRS high-speed trains based on fuzzy rough sets and multidimensional rough sets respectively, and the feasibility and effectiveness of the models have been verified through empirical calculations and analysis.Fourthly, the relationship between the high-speed railway circuit parameters and comfort is studied and analyzed systematically. Combined with the IS02631 ISO standards and the design normalization of high-speed railway, the valuation methods and evaluation levels based on circuit parameters of high-speed train comfort are established and the further analysis has been made based on design mechanism of circuit parameters, focusing on the minimum design of radius of surface curve and optimization problems.Last but not the least, this dissertation simulates and implements the established aspects revolving around high-speed train multivariate comfort evaluation system, index weight demarcation, comfort evaluation, track design, optimization model and methods. The overall frame structure, information process and subsystem’s function of high-speed train multivariate comfort evaluation have been designed in detail; at the same time, combined with functional interface, system testing and analysis of operating results, this dissertation further verifies the theories and methods which it puts forward. The feasibility and effectiveness of the established model has been proved.更多还原