A logistics supply chain dynamic management method and platform based on an internet of things

CN121616174BActive Publication Date: 2026-07-03TRILLION OPERATION (SHENZHEN) TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TRILLION OPERATION (SHENZHEN) TECH CO LTD
Filing Date
2025-12-03
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Traditional logistics supply chain management systems lack real-time capability and adaptability, and cannot adjust the status of logistics nodes at all levels in a timely manner under emergencies, resulting in imbalances in supply chain links, inability to dynamically identify key impact paths and resource reallocation, and the presence of vulnerable points.

Method used

By acquiring real-time status parameters of logistics nodes based on the Internet of Things, a dynamic connection graph is constructed, graph structure modeling and coupling analysis are performed, vulnerable nodes are identified, and dynamic resource adjustment is performed, including task transfer, path reconstruction, and node addition.

Benefits of technology

It has improved the stability and service continuity of the logistics network under multi-source orders and high-concurrency scenarios, and has stronger network adaptability and global coordination capabilities.

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Abstract

This invention discloses a dynamic management method and platform for logistics supply chain based on the Internet of Things (IoT), belonging to the field of logistics network state perception technology. It acquires real-time state parameters of each logistics node, including the number of tasks, queue length, processing speed, and node connection frequency. Based on these parameters, a dynamic weighted directed graph is constructed, where nodes represent processing units, and edge weights reflect transportation efficiency and delay. Coupling analysis is performed on the graph structure to extract the transmission correlation matrix and calculate the node coupling degree. A set of vulnerable nodes is constructed based on the coupling degree, and the node fault tolerance is calculated by combining task flow pressure and anomaly frequency. For nodes with fault tolerance below a set threshold, task transfer, path reconstruction, and temporary resource adjustment are performed to achieve real-time identification and optimization of logistics network bottlenecks. This invention can improve the scheduling stability and resilience of the logistics network and is suitable for intelligent logistics management in multi-source order and high-concurrency scenarios.
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Citation Information

Patent Citations

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    CN119515428A

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    CN120410382A