Cargo sorting method, server and system

Abstract

The invention provides a cargo sorting method, server and system, and relates to the technical field intelligent warehousing. The cargo sorting method comprises the steps: the order picking position is assigned for an order according to cargoes needed by the order; according to the distance between alternative shelves and the order picking position and information of the cargoes on the shelves, the shelf carried with the cargoes needed by the order is selected; and the shelf is driven to reach the order picking position so as to conduct cargo picking. Through the method, the order picking position can be assigned according to the cargoes needed in the order, then according to the cargoes on the shelves and the positions of the shelves, the shelf is selected to reach the order picking position to conduct cargo picking, thus the order picking mode of driving the shelf to the order picking position is achieved, and the order picking efficiency and accuracy are improved.

Description

technical field [0001] The present disclosure relates to the technical field of intelligent warehousing, in particular to a cargo sorting method, server and system. Background technique [0002] In traditional warehousing technology, when ordering goods, staff need to follow the system prompts to find shelves and find products, and then manually pick and unload the corresponding products into corresponding containers. Because e-commerce warehouses store a large number of commodities and process millions of orders daily, the walking path of operators is too long, the labor intensity is high, and the work efficiency is low. [0003] In addition, since traditional warehouses mostly allocate orders manually, orders can only be processed when they accumulate to a certain amount, and there is a certain delay in order processing, which reduces the efficiency of picking; and manual operations are affected by fatigue and are prone to errors, while the review process Further wasted m...

AI Technical Summary

Problems solved by technology

Since the e-commerce warehouse stores a large number of commodities and handles millions of orders daily, the walking path of the operators is too long, the labor intensity is high, and the operation efficiency is low

[0003] In addition, since traditional warehouses mostly allocate orders manually, orders can only be processed when they accumulate to a certain amount, and there is a certain delay in order processing, which reduces the efficiency of picking; and manual operations are affected by fatigue and are prone to errors, while the review process Further wasting manpower and reducing efficiency

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