An order distribution density-based truck platform transport capacity scheduling system
By using a freight truck platform capacity scheduling system based on order distribution density, the problem of unreasonable capacity resource scheduling in existing technologies has been solved, and intelligent scheduling of areas with sufficient or insufficient capacity has been achieved, thereby improving transportation efficiency.
CN122155307APending Publication Date: 2026-06-05HANGZHOU JIKE CLOUD NETWORK TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANGZHOU JIKE CLOUD NETWORK TECH CO LTD
- Filing Date
- 2026-04-21
- Publication Date
- 2026-06-05
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Figure CN122155307A_ABST
Abstract
The application discloses a freight truck platform transport capacity scheduling system based on order distribution density, relates to the technical field of transport capacity scheduling, and solves the problem that freight trucks cannot be efficiently scheduled based on order distribution density, and comprises a region division module, an order analysis module, a transport capacity analysis module and an intelligent scheduling module; the region division module is used for regionally dividing the positions of to-be-processed orders to obtain to-be-processed regions; the order analysis module is used for analyzing the to-be-processed orders in the to-be-processed regions to obtain the distribution density and discrete values of the to-be-processed orders in the to-be-processed regions; the transport capacity analysis module is used for analyzing the transport capacities of freight trucks in the to-be-processed regions to obtain regions with sufficient transport capacity or regions with insufficient transport capacity; and the intelligent scheduling module is used for intelligently scheduling the freight trucks in the regions with sufficient transport capacity or the regions with insufficient transport capacity, so that the freight trucks can be efficiently scheduled based on order distribution density.
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