一种基于大数据的智慧物流仓储系统管理方法及系统
Through big data analysis and dynamic optimization, the problem of unclassified data in the smart logistics warehousing system has been solved, enabling precise management of warehousing data and optimization of plans.
CN121258375BActive Publication Date: 2026-07-17DHC SOFTWARE
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DHC SOFTWARE
- Filing Date
- 2025-09-17
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing smart logistics warehousing systems, warehousing data is not properly segmented, resulting in low data accuracy and impacting data management efficiency.
Method used
Based on big data analytics, by identifying data association paths, storage space, core warehousing data, and data management systems, the warehousing work list is optimized, and data association branches are dynamically adjusted to achieve precise management of smart logistics warehousing plans.
Benefits of technology
It improved the accuracy of core warehousing data, optimized the data management of smart logistics warehousing plans, and enabled holistic consideration and dynamic optimization of each warehousing node.
✦ Generated by Eureka AI based on patent content.
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Figure CN121258375B_ABST
Abstract
本发明公开了一种基于大数据的智慧物流仓储系统管理方法及系统，本发明涉及仓储系统的管理方法的技术领域，根据各个仓储数据存储空间的数据负载量和当前输入数据包确定各个仓储数据存储空间之间的数据存储体系；基于当前输入数据包的大数据分析而确定智慧物流仓储系统的待完成仓储事件；根据待完成仓储事件、多个原仓储节点的仓储数据和新增仓储节点的仓储数据确定核心仓储数据，提高了核心仓储数据的精准性。因此，基于仓储工作列表确定多个智慧物流仓储计划，根据各个智慧物流仓储计划、对应的新增仓储节点和智慧物流仓储系统的当前工作状态确定各个智慧物流仓储计划的数据管理体系，优化了各个智慧物流仓储计划的数据管理。
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