基于TOS历史作业数据的散杂货码头智能泊位编排方法及系统

By constructing a two-dimensional resource occupancy matrix based on time and shoreline and linking constraints with loading and unloading equipment, the optimal berth is automatically recommended based on historical TOS data, which solves the problems of low efficiency and resource mismatch in berth allocation at bulk cargo terminals and achieves efficient intelligent berth scheduling.

CN122414486APending Publication Date: 2026-07-17HAIKOU PORT COMM TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HAIKOU PORT COMM TECH CO LTD
Filing Date
2026-05-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for berth allocation at bulk cargo terminals suffer from problems such as low efficiency due to reliance on manual experience, neglect of historical adaptation patterns, disregard for the physical continuity of the shoreline and competition for loading and unloading equipment resources, and lack of full berth conflict awareness, resulting in low scheduling efficiency and resource misallocation.

Method used

Based on historical TOS operation data, a two-dimensional resource occupancy matrix of time and shoreline is constructed. Combined with the linkage constraints of loading and unloading equipment, a berth suitability scoring model is established using historical data to automatically recommend the optimal berth and update it in real time, thereby achieving global optimal berth scheduling.

Benefits of technology

It significantly improves the scheduling efficiency in high-density scenarios with multiple vessels berthing side by side, eliminates scheduling failures due to physical limitations of the shoreline and equipment resource mismatch, and improves the consistency between recommended berths and actual berths, making it suitable for rapid deployment of small and medium-sized terminals.

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Abstract

本发明提供一种基于TOS历史作业数据的散杂货码头智能泊位编排方法及系统，从TOS系统历史单船作业调度记录提取多维度数据，构建历史泊位适配特征库；建立泊位适配度评分模型，计算可用泊位的初始适配度得分；建立码头岸线坐标系，结合泊位时间占用矩阵构建时间‑岸线二维资源占用矩阵；建立装卸设备资源与泊位分配的联动约束模型，修正初始适配度得分得到综合适配度得分；采集港区内活动船舶状态数据，确定待编排船舶，生成编排候选集；对待编排船舶，根据综合适配度得分确定候选泊位，基于时间‑岸线二维资源占用矩阵检测候选泊位冲突，生成结构化编排建议并输出。本发明解决了散杂货码头多船并靠、岸线资源紧张场景下泊位分配冲突频发的问题。
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Citation Information

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