港口铁路作业区设备动态分区及调度优化方法及系统
By using the logic-based Benders decomposition algorithm, the working area and time period of the rail gantry cranes are dynamically partitioned and scheduled to solve the problem of rail gantry crane allocation and scheduling, thereby improving the operational efficiency and resource utilization of the port railway operation area.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING JIAOTONG UNIV
- Filing Date
- 2023-11-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies have failed to effectively address the allocation and scheduling issues of rail-mounted gantry cranes, resulting in resource waste and uneven workload, and failing to meet the dynamic needs of port railway operation areas.
The logic-based Benders decomposition algorithm is adopted, and the working area and time period of the rail gantry crane are flexibly divided through dynamic partitioning and scheduling optimization methods to optimize the task sequence and scheduling scheme of the rail gantry crane, thereby ensuring operational efficiency and resource utilization.
This achieved a balanced distribution of track gantry crane operations, reduced empty running distances, improved loading and unloading efficiency and resource utilization in the port railway operation area, and ensured that trains completed their operations on time.
Smart Images
Figure CN117649073B_ABST