一种基于大数据分析的船闸运行调度系统及方法
Through big data analysis and real-time status monitoring, inefficient links and congestion points in the operation of the lock are identified, and the time periods and intervals for ship declarations are dynamically adjusted to generate intelligent scheduling schemes. This solves the problem of insufficient scientific decision-making in traditional lock scheduling and improves the efficiency and coordination of lock operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 上海市港航事业发展中心
- Filing Date
- 2025-12-18
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional lock operation scheduling methods lack data-driven decision-making capabilities, cannot accurately identify bottlenecks in the lock passage process, lack differentiated management and priority mechanisms, and have insufficient coordination capabilities, resulting in insufficient scientific scheduling decisions and easily causing congestion and unfair resource allocation.
By acquiring historical lock operation data through big data analysis, identifying indicators affecting passage and inefficient processes, assessing vessel priority scores, and dynamically adjusting interval times and reporting periods in conjunction with real-time navigation status, the system achieves linkage between upstream and downstream locks and generates intelligent scheduling solutions.
It has enabled more refined, dynamic, and intelligent lock scheduling, improved traffic efficiency, alleviated congestion in the lock area, and ensured differentiated services for high-priority vessels and coordinated navigation in the river basin.
Smart Images
Figure CN121860283B_ABST