A cross-border logistics intelligent tracking method and system based on big data analysis

By acquiring and preprocessing logistics data in the cross-border logistics intelligent tracking system, training delay prediction models and dynamically adjusting transportation paths. Combined with the improvement of PageRank and ant colony optimization algorithms, the problems of data relationship representation and time sensitivity assessment in the existing technology are solved, and more accurate transportation path optimization and transportation efficiency improvement are achieved.

CN119784270APending Publication Date: 2025-04-08GROSS IND CHAIN SERVICES (SHENZHEN) CO LTD
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Patent Information

Application Number
CN202411759310.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

The existing cross-border logistics intelligent tracking methods lack the means to graphically represent data relationships, making it difficult to intuitively understand data correlation and mutual influence; lack of dynamic time-sensitive weight allocation mechanisms, which cannot accurately reflect the real-time value and importance of data; fail to accurately represent the connection weights between nodes and edges, affecting the accuracy of graph structure and subsequent analysis decisions.

Method used

By obtaining transportation logistics data, preprocessing to obtain feature data sets, training the cargo delay prediction model, dynamically adjusting the cargo transportation path, and combining the improved PageRank algorithm and ant colony optimization algorithm, dynamically allocating time-sensitive weights, optimizing graph structure representation and path selection.

Benefits of technology

It realizes intuitive representation of logistics data relationships, dynamically evaluates the importance of data, optimizes transportation paths, improves transportation efficiency and decision-making accuracy, and reduces transportation costs and risks.

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Abstract

The present invention belongs to the technical field of smart logistics, and discloses a cross-border logistics intelligent tracking method and system based on big data analysis, including obtaining transportation logistics data; preprocessing the obtained transportation logistics data to obtain a transportation logistics feature data set; training a cargo delay prediction model according to the transportation logistics feature data set, and predicting the cargo delay probability through the cargo delay prediction model; judging whether the cargo is delayed according to the cargo delay probability; if the cargo is not delayed, monitoring the transportation status of the cargo; if the cargo is delayed, the logistics intelligent monitoring terminal issues an early warning instruction to notify the staff, and tracks and obtains the cargo location data in real time; dynamically adjusting the cargo transportation path according to the cargo location data and transportation traffic data, and updating the cargo location data after the cargo transportation path is dynamically adjusted, and synchronizing it to the logistics intelligent monitoring terminal; ensuring that the optimal path is selected for transportation, thereby speeding up the time for the cargo to arrive at the destination.
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Citation Information

Patent Citations

  • Intelligent cross-border logistics transportation information obtaining and matching method based on big data analysis

    CN118863713A