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Multi-intelligent-agent manufacturing process optimization method based on multi-object particle swarm optimization algorithm

A multi-objective particle swarm, process optimization technology, applied in the directions of adaptive control, general control system, control/regulation system, etc., can solve the problems of complex system control manufacturing process optimization, prone to conflict, increase control difficulty, etc. Low consumption, high quality cost, cost reduction effect

Pending Publication Date: 2019-05-10
QILU UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the time and resource sharing between different products or multiple batches of the same product, conflicts are prone to occur. In order to solve such problems, it is necessary to reasonably allocate various resources in the production process. Ensure that the production process of the product is not interrupted
Therefore, the system control of the process industry and the optimization of the manufacturing process are also more complicated, which increases the difficulty of controlling the factors that affect the production cost and product qualification rate such as raw materials and temperature in the manufacturing process.

Method used

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Embodiment Construction

[0055] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used in this application have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0056] 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 combinations thereof.

[0057] Terminology Explanation Section:

[0058] Particle Swarm Optimization (PSO): PSO is a popul...

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Abstract

The invention discloses a multi-intelligent-agent manufacturing process optimization method based on a multi-object particle swarm optimization algorithm. The method comprises the following steps: constructing a multi-intelligent-agent based manufacturing process optimization model for a manufacturing process of the process industry, wherein the multi-intelligent-agent based manufacturing processoptimization model comprises a two-layer structure, the upper layer structure comprises a total control Agent and a pool Agent used for storing algorithms and data information, the lower layer structure comprises a raw material Agent, an equipment Agent, a management Agent and a waste Agent, and each intelligent Agent performs information interaction with the other Agents based on its own communication module; and using the Agent as a particle in the multi-object particle swarm optimization algorithm, endowing the Agent with the population evolution capability, establishing a corresponding data model for the multi-intelligent-agent based manufacturing process optimization model, and performing solution by using the multi-object particle swarm optimization algorithm to obtain an effective solution set. The overall cost after the optimization is lower than the actual consumed cost, so an optimized non-inferior solution set can be used as a reference in the actual production so as to improve the low consumption, high yield and high quality of the process industry manufacturing and to reduce the required cost.

Description

technical field [0001] The disclosure relates to the technical field of process control, in particular to a multi-agent manufacturing process optimization method based on a multi-objective particle swarm algorithm. Background technique [0002] The process industry mainly includes chemical, cement, papermaking and other industries, which occupy an important position in my country's industrial production. The manufacturing process of the process industry is continuous and cannot be interrupted, and the order of the manufacturing process is fixed. Its management characteristics It is to ensure continuous material supply and ensure that each production link must run normally during work. [0003] Due to the time and resource sharing between different products or multiple batches of the same product, conflicts are prone to occur. In order to solve such problems, it is necessary to reasonably allocate various resources in the production process. Ensure that the production process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 姜雪松李东旺尉秀梅韩佳蓉李志鹏姚帅帅
Owner QILU UNIV OF TECH
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