Intelligent AGV scheduling system and method based on cloud platform management

Abstract

The invention relates to an intelligent AGV scheduling system and method based on cloud platform management. The system comprises a 5G communication technology connection module, a data information acquisition module, an AGV state monitoring module and a path intelligent regulation and control module. The method comprises the following steps: modeling a material transportation processing scene in a factory by using a grid map method; receiving, by a cloud platform, state information of CNC and AGVs, and storing, by the cloud platform, responses in a form of a data table; taking a row coordinate X as a foreign key to extract operation states of each CNC and AGV on each row to form a new data table; selecting the operation states of the CNC and the AGVs meeting standards, and recording and responding to demand signals sent by the CNC, wherein a response rule is a composite path dynamic scheduling strategy and a priority principle; and moving, by the AGVs, to corresponding CNC coordinate positions sending demands according to the rule to carry out material transfer. According to the invention, cooperative scheduling and multi-task processing of a plurality of AGVs can be realized, so that the application range of the AGVs in an actual scene is expanded.

Description

technical field [0001] The present invention relates to the field of intelligent transportation, in particular to an intelligent AGV scheduling system and method based on cloud platform management. Background technique [0002] The AGV system is an important part of the factory automation system. It mainly performs functions such as the supply of raw materials, the transfer and transportation of finished products, and the flexible distribution of warehoused goods. With the advantages of unmanned, intelligent AGV has become an essential tool for logistics transportation in modern flexible manufacturing systems and automated warehousing systems, and is recognized as the first choice for automatic material transportation in the logistics field. When the AGV is in a continuous task loop, its multi-task autonomous navigation problem must be solved. Although the current AGV also has multi-task navigation functions, it simply feeds materials sequentially in the order they are call...

AI Technical Summary

Problems solved by technology

At present, although AGV also has multi-task navigation functions, it simply feeds materials in the order they are called, and lacks consideration for the best path to perform multi-tasks, resulting in low efficiency and high energy consumption. In a large-scale operation environment, the cost will increase. Rapid increase

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