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研究构建自律分散式铁路运营调度系统仿真平台的关键技术。为保证系统的稳定性,必须实现控制中心可靠地漂移。控制中心漂移分为被动切换(主备切换)和主动切换(子站向控制中心申请成为控制中心)2种方式。采用集中式快速分布式选举算法进行决策计算。为保证系统的可靠性,设置2个不同的时钟线程,分别对中间件进程和仿真平台进程进行监视。远程车站有本地和远程2种工作模式。子站远程模式切换的原理是子站通知控制中心后,双方交换子站输出信号的控制权限。系统中的控制信息传输是基于组播方式的。子站在本地控制模式下,采用组播通信技术使控制中心即时刷新信息;而在远程控制模式下,则是采用网络中间件提供的点对点通信为辅,组播通信为主的技术组合方案。为保证分散系统中数据的一致性,采用对象状态信息刷新时间间隔按指数递增的算法。构建的自律分散式动态控制系统仿真平台具有在线可扩展性、在线容错性和在线可维护性。
Research the key technology of building self-discipline distributed railway operation dispatching system simulation platform. In order to ensure the stability of the system, the control center must be reliably drifted. Control center drift is divided into passive switching (active and standby switching) and active switching (substation to the control center to apply as a control center) 2 ways. Centralized rapid distributed election algorithm for decision making. To ensure the reliability of the system, two different clock threads are set up to monitor the middleware process and the simulation platform process respectively. Remote stations have two modes of operation, local and remote. The principle of sub-station remote mode switching is that after the sub-station notifies the control center, both parties exchange control rights of the sub-station output signals. The control information transmission in the system is based on multicasting. Sub-station in the local control mode, the use of multicast communication technology to control center instant refresh information; in the remote control mode, it is the use of network middleware to provide peer-to-peer communications, multicast-based technology portfolio. In order to ensure the consistency of data in decentralized system, the algorithm of updating index interval by index according to the status of object is used. The built-in autonomous decentralized dynamic control system simulation platform has online scalability, online fault tolerance and online maintainability.