摘要
“信息集中,控制分散”,具有自律性,是分散自律调度集中系统的突出特征,也是其区别于传统调度集中系统的突出优点。调度集中系统是指行车调度员在调度中心集中控制和监视所管辖区段内各车站信号设备,统一调度和指挥列车运行的遥控、遥信系统,是铁路运输的指挥中心。分散自律调度集中系统具有智能化的特点,文章将运用(Multi-agent)多智能体技术,对分散自律调度集中仿真系统的自律设计模块进行探讨,并建立了列车运行指挥仿真模型,为后续的研究奠定基础,同时,本文研究的调度集中仿真实训平台深入列车调度的现实需求,在现代仿真实现技术的支撑下,拟在开发出投入实际应用的CTC调度仿真虚拟实验和培训环境,有效解决一般站段和铁路院校培训实训不完善的难题,具有一定的现实意义。
"Centralized information and decentralized control",with self-discipline,is the prominent feature of decentralized and self-regulatory centralized dispatching system,and is also its outstanding advantage different from traditional centralized dispatching system.The centralized dispatching system refers to the remote control and remote signaling system that the train dispatcher centrally controls and monitors the signal equipment of each station in the section under the jurisdiction of the dispatching center,and uniformly dispatches and commands the train operation.It is the command center of railway transportation.Decentralized and autonomous centralized dispatching system has the characteristics of intelligence.This paper will use multi-agent technology to discuss the autonomous design module of decentralized and autonomous centralized dispatching simulation system,and establish a train operation command simulation model to lay the foundation for subsequent research.At the same time,the centralized dispatching simulation training platform studied in this paper goes deep into the actual needs of train dispatching,and is supported by modern simulation implementation technology,It is planned to develop the CTC dispatching simulation virtual experiment and training environment for practical application to effectively solve the problem of imperfect training in general stations and depots and railway colleges,which has certain practical significance.
作者
龙真真
王锐东
LONG Zhenzhen;WANG Ruidong(Hunan Technical College of Railway High-speed,Hengyang 421002,China)
出处
《长江信息通信》
2023年第6期191-194,共4页
Changjiang Information & Communications
关键词
多智能体
调度集中
自律控制
Multi-agent
Centralized scheduling
Autonomous control