城市轨道交通无场段条件下线上停检线的收发车计划自动化排布系统

祁勇1卢钢1王骏祺2庄磊2

Automated Train Scheduling and Arrangement System for Urban Rail Transit Online Parking Inspection Line without Depot

QI YongLU GangWANG JunqiZHUANG Lei
摘要:
目的:受城市规划用地的限制或线路设计等因素影响,部分线路需要在没有场段的情况下实现初期试运营,需依托极为狭小的线上停检线完成车辆停放、日常检修与维护。为了避免人为排布车辆收发计划可能出现的各种问题,需通过收发车计划自动化排布系统,充分整合有限资源进行合理规划,同时满足次日的发车需求与当日车辆退出运营后的车辆检修维护需求,实现最优的线上停检线车辆收发管理。方法:针对收发车计划自动化排布系统,介绍了其系统架构、功能模块及图形化界面。阐述了排布规则与相关算法逻辑,并以实际项目为例总结了该系统的试用经验。结果及结论:收发车计划自动化排布系统借助信息化手段,使用智能化自动化方式完成计划自动排布,并以直观图形化的方式展示给相关业务人员查看与审核,从而解决无场段条件下线上停检线列车收发计划排布的 “痛点”,为特定场景下的复杂行车运营生产提供有利的技术支撑。实际项目的数据模拟试验与联调测试结果表明,收发车计划自动化排布系统已实现了预期功能。
Abstracts:
Objective: Due to restrictions imposed by urban land planning or line design factors, some rail lines need to commence initial trial operation without depot. In such cases, vehicles must be parked on extremely limited online inspection lines for routine inspection and maintenance. To avoid potential issues associated with manual TSA (train scheduling and arrangement), an automated TSA system is required to fully integrate and reasonably plan the limited resources, meeting the next day departure demands as well as the inspection and maintenance requirements for vehicles out of operation on the current day. It is aimed to realize optimal TSA for online parking inspection lines. Method: The automated TSA system is presented, including its system architecture, functionality modules, and graphical user interface. The arrangement rules, related algorithm logic, and practical experience summarized from actual projects are expounded. Result & Conclusion: The automated TSA system utilizes information and intelligent means for the automated TSA, which are displayed in a visual and graphical format for review and approval by relevant personnel, tackling the ′sting′ in TSA for online parking inspection lines without depot. It provides valuable technical support for complex operation scenarios in specific context. Data simulation experiments and joint commissioning testing in actual projects demonstrate that the automated TSA system fulfils the expected functionality.
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