Manufacturing workshop AGV dynamic scheduling method, system and device based on digital twinning and storage medium

A manufacturing workshop, dynamic scheduling technology, applied in control/regulation systems, general control systems, program control, etc., can solve problems such as difficulty in task execution status perception, uncontrollable timing and charging time, and delayed scheduling plans.

Pending Publication Date: 2021-12-31
XI AN JIAOTONG UNIV
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Problems solved by technology

[0003] In order to overcome the shortcomings of the above-mentioned prior art, the purpose of the present invention is to provide a method, system, equipment and storage medium for dynamic scheduling of AGVs in manufacturing workshops based on digital twins, aiming to solve the problem of AGVs in the workshop transportation system

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  • Manufacturing workshop AGV dynamic scheduling method, system and device based on digital twinning and storage medium
  • Manufacturing workshop AGV dynamic scheduling method, system and device based on digital twinning and storage medium
  • Manufacturing workshop AGV dynamic scheduling method, system and device based on digital twinning and storage medium

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Embodiment Construction

[0091] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0092] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention discloses a manufacturing workshop AGV dynamic scheduling method, system and device based on digital twinning and a storage medium. The method mainly comprises six steps of building a manufacturing workshop AGV digital twinborn model, building an AGV scheduling model, generating an initial scheduling scheme, simulating and verifying the scheduling scheme based on the digital twinborn model, predicting AGV availability based on a dynamic energy consumption model, and performing charging scheduling. A digital twinning technology is applied to the field of AGV scheduling, a data model for accurately describing AGV energy consumption characteristics is established by utilizing virtual and real data interaction characteristics in the digital twinning technology, and knowledge support is provided for generation of a scheduling scheme. Generation of an AGV scheduling scheme is divided into a task scheduling stage and a charging scheduling stage by considering dynamic scheduling based on digital twinning, so that the scheduling scheme is ensured to be more practical. The digital twinning technology can also perform simulation verification on the generated scheduling scheme, so that the scheduling scheme can meet the requirements of order tasks.

Description

technical field [0001] The invention belongs to the field of dynamic scheduling of AGVs in manufacturing workshops, and relates to a method, system, equipment and storage medium for dynamic scheduling of AGVs in manufacturing workshops based on digital twins. Background technique [0002] AGV scheduling optimization is a key process in manufacturing systems. Its main work is to optimize the distribution and timing management of transportation tasks to achieve the goals of reducing completion time, reducing energy consumption, and reducing resource idle rates. However, due to the disadvantages of poor resource predictability and difficulty in task execution state perception in existing methods, AGV scheduling still has an unavoidable bottleneck - AGV charging. For example, in the existing workshop transportation system, the AGV will continue to run until it is lower than the power threshold, and then go to the charging area to charge until it is fully charged. However, the t...

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41895G05B2219/32252Y02P90/02Y02P90/60
Inventor 徐俊韩文杰孙铮梅雪松
Owner XI AN JIAOTONG UNIV
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