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Distributed intelligent factory supply task allocation method based on game theory

A task allocation and game theory technology, applied in data processing applications, instruments, manufacturing computing systems, etc., can solve problems such as slow convergence speed and rare multi-robot collaborative task allocation, achieve rapid allocation, optimize allocation results, and improve allocation efficiency. Effect

Active Publication Date: 2021-03-09
FUZHOU UNIV
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Problems solved by technology

However, these algorithms are relatively slow in convergence speed, and they are prone to fall into local optimum.
[0006] At present, although there have been many studies on multi-robot systems in various manufacturing links in smart factories, multi-robot collaborative task assignment in the production material supply link is still relatively rare. In the face of changing needs, the entire automatic load transport robot The flexibility and scalability of the system is still an urgent issue

Method used

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  • Distributed intelligent factory supply task allocation method based on game theory
  • Distributed intelligent factory supply task allocation method based on game theory
  • Distributed intelligent factory supply task allocation method based on game theory

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0046] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a distributed intelligent factory supply task allocation method based on a game theory, which comprises the following steps of: calculating and decomposing a current supply task to obtain the position of each task and the quantity information of demand supply robots; establishing a supply problem task allocation model in the intelligent factory; based on a greedy selectionstrategy, generating supply robot division meeting the requirement of each current task number; using a Nash equilibrium concept of the game theory for searching an equilibrium solution for task division, and the allocation quality is further improved. According to the method, the distribution efficiency can be effectively improved, and the distribution result is optimized.

Description

technical field [0001] The invention relates to the technical field of intelligent factory supply task assignment, in particular to a distributed intelligent factory supply task assignment method based on game theory. Background technique [0002] As the core of Industry 4.0, the smart factory aims to build a manufacturing-oriented cyber-physical system. By integrating information systems and physical entities, the self-organized production of machines, raw materials, and products in the factory can be realized. Due to the high speed and precision in repetitive work As well as cost-effectiveness, multi-robot systems have been widely integrated in intelligent manufacturing to improve profitability and competitiveness. In the past few years, multi-robot systems have been successfully applied in transportation, assembly and handling. How to use them in manufacturing Reasonably dividing tasks for multi-robot systems, balancing efficiency and cost has become a research hotspot. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/04
CPCG06Q10/0631G06Q10/04G06Q50/04Y02P90/30
Inventor 董晨熊乾程洪祺瑜陈震亦
Owner FUZHOU UNIV
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