一种基于大数据的粮食物流管理方法及系统
By deploying sensors in grain transport vehicles and warehouses, and combining this with data analysis at a big data processing center, transportation routes and inventory management are optimized. This solves the problems of high losses, inaccurate inventory, and low scheduling efficiency in traditional grain logistics management, and achieves intelligent and efficient grain logistics management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI GRAIN ENG VOCATIONAL COLLEGE
- Filing Date
- 2025-05-29
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional grain logistics management suffers from problems such as high transportation losses, inaccurate inventory management, and low transportation scheduling efficiency, making it difficult to meet the needs of the modern grain industry.
By employing a big data-based approach, sensors are deployed in grain transport vehicles and warehouses to monitor data in real time. This data is then preprocessed and analyzed in conjunction with a big data processing center to build data analysis models, optimize transport routes and inventory management, generate intelligent decisions, and make real-time adjustments.
Effectively reduce transportation losses, rationally arrange inventory, improve transportation efficiency and reduce costs, and realize the intelligent and scientific management of grain logistics.
Smart Images
Figure CN120612036B_ABST