基于全路车流管理系统的调度阶段计划多工种协同编制应用研究OA

The scheduling stage plan is a core component of railway transport operations,and its quality directly affects the efficiency and safety of transport organization.At present,the preparation of scheduling stage plan is generally hindered by delayed cross-specialty information exchange,pronounced data silos,and inadequate collaboration mechanisms.These issues result in poor train flow continuity and inefficient resource utilization.To solve the problems,this study proposed a multi-specialty collaborative preparation framework technically supported by the nationwide train flow management system.The framework was designed to achieve whole-process optimization of transport scheduling stage plans through systematic integration.It involves integrating real-time information on train flows,railway lines,and other operational parameters using a data platform,implementing dynamic interaction and task assignment among various specialties such as dispatching,locomotive,and freight operation,and generating optimal stage plans.On this basis,the workflow of multi-specialty collaborative preparation was determined,enabling visualized real-time information sharing and feedback among multiple specialties within the nationwide train flow management system.This study provides theoretical support for effectively improving the accuracy of scheduling stage plan preparation,enhancing the transport organization efficiency of railway transport enterprises,and facilitating their digital transformation.