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

A technology of scheduling paths and optimization methods, which is applied in services based on location information, services based on specific environments, design optimization/simulation, etc., can solve problems such as unreasonable AGV scheduling strategies, lack of scientific guidance, and inability to AGV cars. Achieve the effect of reducing production waiting time, improving comprehensive competitiveness, and strong anti-interference ability

Pending Publication Date: 2022-01-11
中船重工信息科技有限公司
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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

Method used

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

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Embodiment

[0102] combine figure 1 and figure 2 , an AGV scheduling path optimization method based on 5G Internet of Things, comprising the following steps:

[0103] Step 1. The MES system (Manufacturing Execution System) generates a handling task according to the production work order and sends it to the WMS system (Warehouse Management System);

[0104] Step 2, WMS system (Warehouse Management System) receives task instructions and generates AGV handling tasks;

[0105] Step 3, according to the production task information and the call information of the on-site call system, construct a mathematical model of the search state of the AGV scheduling path planning;

[0106]Since the electronic map formed between the actual workshop production line equipment and the warehouse is of irregular shape, the layout of the site and resource equipment may also have various restrictions and restrictions. Therefore, the problem of AGV scheduling path optimization is more complicated. The logistics ...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06F30/27H04W4/024H04W4/30G16Y10/25G16Y40/10G16Y40/60
CPCG06Q10/047G06Q10/06312G06Q10/083G06F30/27H04W4/30H04W4/024G16Y10/25G16Y40/60G16Y40/10
Inventor 陈建勋吴清财李一赖岳华刘宇航苗圃
Owner 中船重工信息科技有限公司
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