基于大数据的铁路多式联运智能匹配与动态履约保障方法

By using big data technology to uniformly store and process railway multimodal transport data, generating and verifying transport routes, and automatically generating performance guarantee instructions, the problem of cross-modal transport data integration has been solved, realizing dynamic performance guarantee for railway multimodal transport and improving the reliability and response speed of the transport link.

CN121836557BActive Publication Date: 2026-07-17BEIJING JIAMENG TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING JIAMENG TECH CO LTD
Filing Date
2026-03-11
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the field of railway multimodal transport, the inability to effectively integrate and communicate capacity information across modes of transport makes it difficult to form a global capacity resource view. Scheduling decisions rely on human experience, static transport plans lack dynamic adjustment capabilities, response speed is slow, and the overall transport link reliability is insufficient.

Method used

The big data-based intelligent matching and dynamic performance guarantee method for railway multimodal transport receives and stores transport capacity resources and cargo transport demand data in a unified format, generates preliminary routes and combination schemes, verifies feasibility, automatically generates a performance guarantee instruction set, and realizes dynamic monitoring and emergency response.

Benefits of technology

It enables unified modeling and real-time collaboration of cross-system capacity data, dynamically adjusts transportation plans, improves the reliability and resilience of the transportation chain, and ensures automation and rapid response in the transportation process.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121836557B_ABST
    Figure CN121836557B_ABST
Patent Text Reader

Abstract

本发明涉及物流运输智能调度技术领域,具体为基于大数据的铁路多式联运智能匹配与动态履约保障方法,包括:汇聚不同运输服务商的运力资源数据与托运人需求数据,存入按地理空间、时间及状态分类的统一联运资源池。基于资源池数据运行智能匹配引擎,生成满足地理、时间及能力约束的初步联运方案。对初步方案执行可行性验证,输出包含各段耗时、衔接时间及风险的验证清单。依据验证结果为通过方案生成履约保障指令集,指令集明确了各运输段的责任服务商、监控指标与应急触发条件。本发明实现了跨运输方式资源的智能匹配与运输过程的动态闭环保障。
Need to check novelty before this filing date? Find Prior Art