Intelligent warehouse logistics method and system

Abstract

The invention discloses an intelligent warehouse logistics method and system, and the method comprises the steps: obtaining first order information; obtaining a first demand product and a second demand product; obtaining a first storage position and a second storage position; real-time position information of the storage robot is obtained; constructing a three-dimensional fixed-point network model of the first warehouse logistics information; performing configuration space division on the three-dimensional fixed-point network model to obtain a first obstacle area and a first free area; performing repulsion potential field marking on the first obstacle area to obtain a first simulated repulsion potential field, and performing attraction potential field marking on the first free area to obtain a first simulated attraction potential field; the first simulated repulsion potential field and the first simulated attraction potential field are sent to a first sensing device, and a first intelligent planning path is generated; and sorting the products of the first warehouse logistics information. The technical problem that an optimal moving path cannot be generated due to the fact that a warehouse logistics robot in the prior art cannot intelligently avoid obstacles is solved.

Description

technical field [0001] The invention relates to the technical field of logistics and warehousing, in particular to a smart warehousing and logistics method and system. Background technique [0002] Smart warehousing is a warehousing management concept that realizes smart logistics through informatization, Internet of Things, cloud computing and mechatronics, thereby reducing warehousing costs, improving operational efficiency, and enhancing warehousing management capabilities. [0003] However, in the process of realizing the technical solutions of the invention in the embodiments of the present application, the inventor of the present application found that the above-mentioned technology at least has the following technical problems: [0004] Because the warehousing and logistics robot in the prior art cannot intelligently avoid obstacles, and thus cannot generate an optimal moving path, the logistics and warehousing cannot perform efficient and orderly operation. SUMMARY...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application solves the technical problem that the warehousing and logistics robot in the prior art cannot intelligently avoid obstacles by providing a smart warehousing logistics method and system, and thus cannot generate an optimal moving path. By obtaining the real-time location and the specific location of the goods that need to be sorted displayed in the order, and then build a multi-dimensional fixed-point network model, and at the same time, divide the model into a certain configuration space based on the target requirements, and then carry out the opposite force of repulsion and attraction for the divided configuration space The marking of the field makes the resultant force of attraction and repulsion act as the acceleration force of the robot to control the direction of movement of the robot, and then plans the optimal path selection for the robot. By realizing intelligent obstacle avoidance in the process of robot sorting goods, the intelligent obstacle avoidance is achieved. At the same time, it generates the optimal planning path, saves sorting time, improves the sorting efficiency of goods, and then realizes the technical effect of efficient and orderly operation of logistics warehousing

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