Bulk commodity multimodal transport digital scheduling management system

CN122114537APending Publication Date: 2026-05-29XIAN HUODA NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN HUODA NETWORK TECH CO LTD
Filing Date
2026-04-02
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies lack the ability to perceive and respond to real-time dynamic changes in multimodal transport of bulk commodities, resulting in wasted transport capacity resources and high operating costs, and also lack a global optimization and collaborative scheduling management center.

Method used

A dynamic digital twin model is established, which identifies the empty space-time window through a multi-agent game mechanism and generates empty contribution certificates using blockchain technology. Combined with smart contracts, it realizes real-time matching and optimization of transport capacity and cargo, and constructs a global optimization model to maximize social welfare.

Benefits of technology

It has achieved efficient utilization of transportation capacity resources, reduced the average empty load rate of transportation, reduced ineffective dwell time, created a transparent and trustworthy incentive environment, and promoted the healthy collaboration of the industrial ecosystem.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a bulk commodity multimodal transport digital intelligent scheduling management system and relates to the technical field of intelligent logistics scheduling. A dynamic digital twin model of a multimodal transport logistics network for mapping the state, position and planned route of a transport unit is established and updated in real time. Based on the model, a space-time window that will be generated in the planned route of the transport unit is identified, and the space-time window is published to a collaborative scheduling platform. Based on a multi-agent game model, one or more to-be-transported goods tasks are matched to the space-time window to maximize a preset social welfare function, a new transport plan containing the goods tasks is generated, and the new transport plan is issued to the corresponding transport unit for execution. The scheme deeply integrates digital twin, collaborative game and incentive compatibility mechanism, can effectively improve the overall efficiency of the logistics system, and promotes the transformation of the logistics industry to green, intelligent and high-quality development.
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