不停航施工工况下机场旅客捷运系统联调进度管理资源–窗口协同优化研究

Resource-Window Collaborative Optimization for Commissioning Schedule Management of Airport Automated People Mover Systems under Non-Shutdown Construction Conditions

摘要: 为解决不停航施工条件下机场旅客捷运系统联调阶段资源冲突、夜间窗口受限与整改复测闭环导致的进度等待问题，本文基于某枢纽机场旅客捷运系统工程脱敏XER计划数据，归并形成14个核心工序和17条FS/SS关系，构建考虑资源容量、窗口约束和闭环复测的赋时Petri网模型，并设置S0优化前场景与S1优化情景进行对比。结果显示，在不改变核心逻辑和必要前置条件下，系统级联调至整改闭环周期由216 d缩短至168 d，关键控制链的日历跨度由821 d缩短至592 d，资源等待时间由155 d降至36 d，整改复测闭环周期由92 d降至64 d。研究表明，赋时Petri网可刻画联调过程中的多前置同步、资源–窗口耦合等待及闭环传递机制；在设定的优化情景下，关键链优先、资源错峰和连续窗口保障能够改善模型中的联调等待和进度表现。本文可为不停航施工条件下机场复杂系统联调阶段的进度管理、资源管理和优化决策提供方法支撑，并为大型枢纽工程复杂系统集成阶段的计划优化提供参考。

Abstract: To address schedule waiting problems caused by resource conflicts, restricted night-time work windows, and rectification-retesting loops during the commissioning stage of an airport automated people mover system under non-shutdown construction conditions, this study uses desensitized XER schedule data from an automated people mover project at a hub airport. Fourteen core activities and 17 FS/SS relationships are consolidated, and a timed Petri net model considering resource capacity, work-window constraints, and rectification-retesting closure is developed. An S0 pre-optimization scenario and an S1 optimization scenario are then established for comparison. The results show that, without changing the core engineering logic or necessary precedence conditions, the system-level commissioning-to-rectification closure period is shortened from 216 d to 168 d, the calendar span of the key control chain is reduced from 821 d to 592 d, resource waiting time decreases from 155 d to 36 d, and the rectification-retesting closure period is reduced from 92 d to 64 d. The study indicates that the timed Petri net can represent multi-predecessor synchronization, resource-window coupled waiting, and closure-loop transmission mechanisms in the commissioning process. Under the defined optimization scenario, key-chain priority, resource staggering, and continuous window assurance can improve commissioning waiting and schedule performance in the model. This study provides methodological support for schedule management, resource management, and optimization decision-making during airport complex-system commissioning under non-shutdown construction conditions, and offers a reference for schedule optimization in the system integration stage of large hub infrastructure projects.