Logistics scheduling management system based on big data

CN119539217AActive Publication Date: 2025-02-28SHENZHEN NANFANG GUOXUN TECH CO LTD
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
CN202510105991.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-23
Publication Date
2025-02-28
Estimated Expiration
2045-01-23

AI Technical Summary

Technical Problem

The lack of the existing technology to adjust the corresponding logistics scheduling plan based on the analysis of policies and regulations, resulting in logistics companies reducing the efficiency and benefits of logistics transportation, affecting costs, efficiency, safety and other aspects.

Method used

Provide a logistics scheduling management system based on big data, including data acquisition module, data classification module, solution initial screening module, solution optimization module and intelligent management and control module. By classifying the data in the real-time logistics data set, the labeled data categories are obtained, and the scheduling content is matched to the labeled data categories. Combining the genetic algorithm and the bat algorithm, the best logistics scheduling solution is obtained from the alternative scheduling solution set.

Benefits of technology

It has improved the intelligence level of logistics scheduling management, can respond to changes in policies and regulations in a timely manner, optimize logistics scheduling plans, improve the transportation efficiency and benefits of logistics companies, reduce the amount of data calculations, and improve accuracy and efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119539217A_ABST
    Figure CN119539217A_ABST
Patent Text Reader

Abstract

The invention relates to the technical field of scheduling management, and discloses a logistics scheduling management system based on big data, which comprises a data acquisition module, a data classification module, a scheme preliminary screening module, a scheme optimization module and an intelligent management and control module. Through the arrangement of the data classification module, the scheme preliminary screening module and the scheme optimization module, marked data categories can be obtained by classifying data in a real-time logistics data set, matching of scheduling content can be performed on the marked data categories, matching of unmarked data categories is not performed, the data calculation amount is reduced, the efficiency is improved, and the real-time logistics data scheduling method is suitable for being used in a logistics system. Meanwhile, the accuracy is improved, it is ensured that all scheduling contents conform to the latest regulation and policy contents, an alternative scheduling scheme set is formed based on the matched scheduling contents, a foundation is laid for subsequently obtaining an optimal logistics scheduling scheme, and a scheme optimization module combines a genetic algorithm and a bat algorithm, so that the scheduling efficiency is improved. Therefore, the optimal logistics scheduling scheme can be obtained from complex and changeable scheduling schemes.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Text feature selection method and device based on improved bat algorithm and storage medium

    CN112800224A

  • Implementation method of PHM end-to-end system based on small sample data

    CN114662622A

  • Application software abnormal behavior detection method and system based on network communication similarity

    CN118713865A