Warehouse logistics scheduling method and related equipment

Abstract

The invention provides a warehouse logistics scheduling method and related equipment, which can reduce the labor cost and can also improve the working efficiency during warehouse logistics scheduling. The method comprises the following steps: generating a task order corresponding to each goods area in M goods areas according to task order information and goods storage information; according to the number of the task orders allocated to the cargo areas and the distance between each cargo area and the unloading area, allocating a grabbing robot and a cargo transporting robot to each cargo area; sending the target task order to a target grabbing robot and a target freight robot; when the first robot detects other robots, receiving real-time position information sent by the first robot and a moving path of the first robot; based on the real-time position information, the moving path of the first robot and the moving paths of the other robots, judging whether a second robot conflicting with the first robot exists in the other robots or not; and if so, sending the path planning instruction to the first robot or the second robot.

Description

Technical field[0001]The present application relates to a warehousing field, in particular to a warehousing logistics scheduling method and related equipment.Background technique[0002]With the development of the modern e-commerce logistics industry, the pressure of the warehouse operation is getting bigger; in the logistics warehouse industry, most of them use traditional artificial sorting, manual handling and manual storage, etc., its efficiency is low, labor cost High is a problem that has always existed; at the same time, due to manual operation, the height of the shelves is limited, and the storage method of goods is more single.[0003]In the past storage logistics applications, Amazon uses a handling robot to move the entire shelf to the package for workers, although some orders only need a few goods on a shelf, still need to carry the whole shelf, causing a certain resource waste .[0004]With the development of industrial technology, there are many warehouses that have been use...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of the modern e-commerce logistics industry, the pressure on warehouse operation and management is increasing; in the logistics warehouse industry, most of them use traditional manual sorting, manual handling, and manual warehousing operations, which are inefficient and labor-intensive. The height is always a problem; at the same time, due to manual operation, the height of the shelf is limited, and the storage method of the goods is relatively simple

[0003] In the past warehousing and logistics applications, Amazon used a handling robot to move the entire shelf to the packaging table for workers to pick. Although some orders only require a small number of goods on a certain shelf, the entire shelf still needs to be moved, resulting in a certain waste of resources.

[0004] With the development of industrial technology, there are already many warehouses that use robots and humans to sort and transport goods. The manual is mainly responsible for the work of picking up the goods, and the robot transport vehicle is responsible for the transportation. This working mode operates It is more convenient and effective, but still requires many workers to sort and pick goods in the warehouse

In addition, some research in recent years has been on mobile picking robots, which can autonomously move to the target location of the goods, and transport them to the shipping location after grabbing the target goods, but the picking robot It is necessary to realize the work of picking and transporting at the same time, and the work efficiency is low

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