An intelligent picking optimization system

An intelligent and optimized module technology, applied in data processing applications, forecasting, computing and other directions, can solve problems such as scheduling, difficult maintenance, and difficult rectification, etc., to reduce workload differences, high operating efficiency, and fast computing speed. Effect

Pending Publication Date: 2019-06-25
SHANGHAI DONGPU INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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 optimiz

Method used

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  • An intelligent picking optimization system
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Embodiment Construction

[0054] The present invention will be further described below according to the accompanying drawings.

[0055] Such as figure 1 As shown, the map generation module, the path planning module, the path time planning module, and the time conflict optimization module are connected through software communication, and control the operation of the AGV trolley through wireless communication; the specific workflow of the optimization system is as follows:

[0056] (1) start;

[0057] (2) According to the actual working warehouse situation, start to import and generate the map;

[0058] (3) Input the AGV car task;

[0059] (4) carry out path planning, described path planning comprises path line optimization, path time optimization, path conflict optimization;

[0060] (5) finally get the optimal route;

[0061] (6) END.

[0062] Import generated maps as XML format maps.

[0063] The map is a grid-shaped graph generated by vertical straight lines, and its basic elements are nodes an...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
Inventor 杨周龙
Owner SHANGHAI DONGPU INFORMATION TECH CO LTD
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