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编组站综合自动化系统控制技术及其扩展应用的研究

The Research of Control Technology of Synthetic Automation of Marshal Ling Yard and Extended Application

【作者】 曹桂均

【导师】 刘虎兴;

【作者基本信息】 中国铁道科学研究院 , 交通信息工程与控制, 2013, 博士

【摘要】 编组站综合自动化系统实现铁路编组站管理信息系统和过程控制系统的有机结合,提高编组站整体解编能力,降低现场劳动强度,是一个高智能化、自动化的综合性系统。本文描述编组站综合自动化系统的组织结构、总体框架和系统主要功能,研究探讨各子系统的组织方式,研究管理信息系统与控制系统结合方式的合理性,安全性和可靠性。文章对编组站综合自动化系统中的信号控制系统进行了较为全面和深入细致的梳理,对于实现综合自动化需要新研发的控制技术进行了深入研究,并将原有成熟控制系统在编组站综合自动化中应用的有效改进和功能提升做了总结。本文研究系统层次架构,提出了编组站综合自动化系统中不同子系统的专业归属,通过规范管理维护的划分界限及维修界面,对于设备维护的合理性进行分析。本文研究管控结合的关键部分-集中控制系统,描述了集中控制系统的系统组成和控制模式、应用功能及接口设计,阐述了集中控制系统的功能模块及实现方式。对于编组站的车辆实时位置追踪问题,描述了实时追踪的原理,提出利用编组站站场结构有向图的方式,建立编组站车辆实时追踪模型,实现以站场表示信息为基础的车辆实时追踪。通过对采集到的站场实时表示信息进行逻辑运算,将结果跟踪得到的结论,结合进路跟踪预判及作业计划等信息,采用多重判别,得到机车车辆的实时位置。并与车号自动识别信息以及作业计划信息有效融合,得到机车车辆在编组站中的实时准确位置信息,作为各种现场作业实绩自动反馈的基础数据。本文研究集中控制系统的作业计划自动执行技术,对于将作业计划转换成控制设备可执行的作业指令的分解转换模式进行了分析,详细描述作业任务的表达和作业指令的表达方式,研究利用人工智能算法建立数学模型,求解作业指令的调优问题。文章描述了采用一种改进的MMAS算法来对编组站作业指令进行调优计算,及实现算法的收敛性与寻优能力的动态平衡的方法,并通过现场试验验证算法的可行性。将成熟的驼峰无线机车遥控系统及无线调车机车信号和监控系统有机的结合在一起,研发新型调机综合控制系统,使编组站调车机车在整个编组站作业时实现全面机车遥控。本文提出将推峰机车遥控与平调遥控采用统一的模型进行优化的控制方式,根据调车作业遥控控制的特点,选择基于模糊神经网络的自校正控制模型,实现机车控制参数的在线自校正,在合理利用机车动力的同时,提高系统的可维护性,使控制过程更加合理、精细。统一模型优化的控制方式,降低编组站机车控制的复杂性,使不同站场、不同机车及不同作业模式等机车控制中的复杂性问题得到解决。将编组站综合自动化技术扩展应用到动车基地调度集中系统中,实现动车基地管理信息系统与控制系统的有机结合,闭环控制。文章描述了动车基地调度集中系统列车及调车作业计划的自动调整和管理、作业进路的自动控制、动车组位置追踪及查询、人机交互统一管理等几大功能和实现方法,为编组站综合自动化控制技术进一步扩展应用打下良好的基础。

【Abstract】 Synthetic Automation System of Marshalling Yard(SAM) is a highintelligence, automation integrated system, which implements the combinationof Management Information System and Security Process Control System ofmarshalling yard, improves the overall disassembly capacity of marshallingyard, reduces on-site labor intensity. This paper describes the organizationalarchitecture, general framework and core functions of SAM, studies andinvestigates the organization of the various subsystems, researches therationality, safety and reliability of the combination method of ManagementInformation System and Process Control System. This paper comprehensively anddeeply arranges the signal control systems of SAM, and makes a conclusion forthe effective improvements and enhancements of the original maturity controlsystem application in SAM.This paper focuses on the relational hierarchy of the system, puts forwardthe professional classification of various subsystems in SAM, and analyzes therationality for maintenance of equipments by specifying the demarcation andmaintenance interface of management and maintenance. This paper researches theCentralized Control System (CCS), which is a key part of combination ofmanagement and control. This paper describes the system components and controlmodes, application functionality and interface design of CCS, elaborates thefunction modules and implementation methods of the system,For real-time tracing problem of locomotives’ location in marshalling yard,this paper describes the principle of real-time tracing, proposes the real-timelocomotive tracing algorithm, which is based on a marshalling real-time vehicletracking model expressed by marshalling station directed graph structure andstation presentation information. Through real-time logical operations to thecollected station presentation information, combined with prediction of routetracing and job schedules and other information, utilizing multiple discriminant, real-time locomotive position will be obtained. And with theeffective integration of AEI information and job scheduling information, theaccurate real-time locomotives’ position information in marshalling yard willbe obtained, as basic data for automatic feedback of variety of on-site jobperformance.This paper pays attention to the automation technology for operation planof CCS, analyzes the decomposition and conversion mode, which means convertingthe operation plan into instructions executing by control equipment,elaborates the expression pattern of operation tasks and operationinstructions,researches the optimization problem of calculating operationinstructions by establishing mathematical model of artificial intelligencealgorithm. This paper describes the use of an improved MMAS algorithm to computeoperation instructions for tuning, and the implementation of convergence ofthe algorithm and the method of optimization ability of dynamic equilibrium,and the algorithm feasibility verified by field tests.The mature Hump Radio Locomotive Remote Control System and Radio Signalingand Monitoring System for Shunting Locomotive are combined and developed intoa novel locomotive integrated control system to achieve a comprehensive remotecontrol for shunting locomotives in marshalling yard. This paper presents acontrol pattern using a unified model to optimize for humping and flat shuntinglocomotive remote control, according to the shunting characteristics of theremote control to select a self-tuning control model based on fuzzy neuralnetwork, implementing the on-line self-correction of locomotive controlparameters, improving system maintainability while rational use of locomotivepower, creating a more rational and finer control process. The control methodof using unified model to optimized control reduces the complexity oflocomotive control in marshalling yard, so that complex problems of locomotivecontrol such as different stations, different locomotives and differentoperation mode are resolved.Synthetic automation technology of marshalling yard extends to Centralized Control System of EMU Depot, and achieves the combination of ManagementInformation System and Control System in EMU Depot and closed-loop control.This paper describes several functions and implementation methods inCentralized Control System of EMU Depot, such as automatic adjustment andmanagement of train and shunting plans, automatic control of operation route,tracing and query of EMU location, unified management of Human-ComputerInteraction, which all lay good foundations for further extended applicationof synthetic automation technology of marshalling yard.

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