An intelligent picking optimization system

Abstract

The invention relates to the technical field of intelligent optimization, in particular to an intelligent picking optimization system. The system comprises a map generation module, a path route planning module, a path time planning module, a time conflict optimization module and an AGV trolley, and is characterized in that the map generation module, the path route planning module, the path time planning module and the time conflict optimization module are in communication connection through software, and control the operation of the AGV trolley through wireless communication. Compared with theprior art, by providing the intelligent picking optimization system, reasonable application of the station is realized; Repeated simulation operation shows that the system can reasonably distribute the stations, reduce the workload difference of each station, and avoid the conditions that some stations are particularly busy and some stations are particularly idle (the problems existing in realityrestrict the overall efficiency of the unmanned cabin and not restrict the efficiency of the unmanned cabin due to the advantages and disadvantages of pure path planning).

Description

technical field [0001] The invention relates to the technical field of intelligent optimization, in particular to an optimization system for intelligent picking. Background technique [0002] At present, the unmanned warehouses in China are still in their infancy, and most companies are still exploring, and the development of unmanned warehouse management systems and the manufacturers of AGV cars are usually not the same company. Therefore, although the AGV car path planning algorithm can be used in various warehouses common, but there are still multiple problems: [0003] (1) Disconnected from front-end order generation and back-end workstation processing, prone to improper scheduling; [0004] (2) Problems such as node conflicts and workstation processing efficiency mismatch lead to low overall operating efficiency of unmanned warehouses; [0005] (3) Existing simulation software cannot simply realize order generation, merging, shelf allocation, workstation allocation, p...

AI Technical Summary

Problems solved by technology

[0003] (1) Disconnected from front-end order generation and back-end workstation processing, prone to improper scheduling;

[0004] (2) Problems such as node conflicts and workstation processing efficiency mismatch lead to low overall operating efficiency of the unmanned warehouse;

[0005] (3) Existing simulation software cannot easily realize order generation, merging, shelf allocation, workstation allocation, path optimization algorithms, generation of maps composed of nodes and edges, etc.

[0008] Lack of independent research and development capabilities, most small and medium-sized enterprises are looking for suppliers for development, which results in weak independent control capabilities, more centralized control, and difficult maintenance when problems occur. If there is no demand change in the later stage, rectification is not easy

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