Cloud-aided intelligent warehouse management robot system and method

Abstract

The invention discloses a cloud-aided intelligent warehouse management robot system and method. The system and the method support a cloud platform, apply a software definition network, realize human-machine interaction, and realize a real-time access function of a whole warehouse under the interaction, self organization and coordination of multiple robots. In the operating process, the robots assist in planning pickup paths via the cloud platform, search and analyze customer orders in a database, and acquire information of goods to be carried. The robots confirm goods by scanning RFID (Radio Frequency Identification) labels, scan surrounding information by using self cameras, upload the information to a cloud end for processing and analyzing to plan operating tracks, and accurately deliver the goods to a packing place for packing. Meanwhile, the robots can share knowledge bases, control modes and network modes and interact with each other via the cloud platform to realize group sensing intelligence, so that each robot not only can independently complete a task, but also can jointly complete various tasks by cooperation.

Description

technical field [0001] The invention relates to a warehouse management robot system, in particular to a cloud-assisted intelligent warehouse management robot system and method. Background technique [0002] At present, the mainstream storage robots use magnetic navigation, and the AGV performs road selection, barriers, and cargo handling according to pre-set procedures. In this kind of AGV, a lot of calculation and analysis work is handed over to the built-in calculator for calculation, and then the output is controlled by the controller. However, due to the limitations of the machine itself, it is difficult to realize the embedding of chips with large computing power and storage capacity. It is also very limited, unable to achieve fast and accurate calculation and control, and the complexity of the work is greatly restricted. At the same time, due to the battery limitation of AGV itself, it is difficult to achieve long-term high-intensity work. On the other hand, in the e...

AI Technical Summary

Problems solved by technology

[0003] (1) The overall computing power (CPU) and storage capacity (memory and hard disk) of the robot are still limited by the hardware, and the task complexity is poor in scalability;

[0004] (2) Human-computer interaction is poor

[0005] (3) In the ever-changing industrial environment, existing robots cannot perceive the changes in the environment in real time, and make corresponding coping strategies for the changes in the environment

For example, if the goods on the AGV car fall down due to external force during the process of goods transmission, it is difficult for the AGV to sense this change, which will cause useless work.

[0006] (4) The interaction between robots is poor

Often the debugging between robots needs to be carried out separately, which makes it difficult to achieve greater resource optimization and improve work efficiency

[0007] (5) The robot consumes a lot of power and has a short life cycle due to the limitation of the battery and the concentration of various calculations and controls.

It is often necessary to charge after working for a period of time, which greatly reduces work efficiency

[0008] (6) Existing robots cannot work together to complete tasks and goals

[0009] (7) The intelligence of the robot is relatively poor

Because the robot only relies on positioning as a node, once the environment changes, although it can avoid it well, it cannot quickly and autonomously plan the path plan, and the intelligence is insufficient.

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