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The Research Of Control Technology Of Synthetic Automation Of Marshal Ling Yard And Extended Application

Posted on:2014-07-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:G J CaoFull Text:PDF
GTID:1262330425475010Subject:Traffic Information Engineering and Control
Abstract/Summary:PDF Full Text Request
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.
Keywords/Search Tags:marshalling yard, synthetic automation, automatic control, combination of management and control, intelligent optimization
PDF Full Text Request
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