AGV scheduling path optimization method based on 5G Internet of Things

Abstract

The invention discloses an AGV scheduling path optimization method based on the 5G Internet of Things. The method comprises the steps that firstly, an MES system generates a carrying task according to a production work order and issues the carrying task to a WMS system; the WMS system receives the task instruction and generates an AGV carrying task, and then constructs a mathematical model of a search state of AGV scheduling path planning; and the AGV management and control system solves the scheduling scheme according to a heuristic artificial intelligence algorithm, and outputs an AGV path planning optimization scheme. Aiming at the constraint problem of an existing AGV scheduling system in the aspects of scheduling quantity, data processing and algorithm optimization, the characteristics of large bandwidth, low time delay and multiple connections of the 5G Internet of Things are applied, and AGV path planning, real-time scheduling and position tracking are more flexible through a mode of combining an AGV management and control system and an artificial intelligence algorithm; the transportation efficiency and stability are improved, and the application of 5G enabled intelligent manufacturing is realized.

Description

technical field [0001] The present invention relates to the field of AGV (Automated Guided Vehicle) production scheduling for 5G factories, and in particular to an AGV scheduling route optimization method based on artificial intelligence algorithms based on 5G Internet of Things. Background technique [0002] The amount of data generated, collected and processed by the equipment in the smart factory is increasing, and the 4G network has been difficult to meet the needs of intelligence; while the WIFI communication method has weak anti-interference in outdoor scenes, low transmission rate, and connection when switching. Interruptions and other issues cannot completely cover the vast factory environment outside the workshop, and logistics vehicles outside the workshop cannot perform effective real-time positioning and monitoring. When traditional manual handling equipment performs logistics handling tasks in outdoor scenes, it is also prone to delay in receiving scheduling task...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies in the above-mentioned prior art, and specifically address the lack of certain scientific guidance for the dynamic scheduling of AGVs in flexible workshops in the prior art, resulting in unreasonable AGV scheduling strategies and low transportation efficiency in the actual production process. AGV trolleys cannot perform effective real-time positioning and monitoring, etc., and provide an AGV scheduling path optimization method based on 5G Internet of Things

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