Intelligent control method for conveying system based on particle swarm algorithm

A particle swarm algorithm and conveying system technology, applied in the application field of multi-objective particle swarm algorithm

Pending Publication Date: 2020-09-15
浙江优智物联科技有限公司
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  • Abstract
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Problems solved by technology

[0002] With the advancement of intelligent industry, the production mode of intelligent manufacturing is gradually applied to the production lines of various industries. The workshop scheduling problem facing intelligent manufacturing is one of the main research directions of intelligent production lines. In order to realize the intelligent scheduling of production lines, Usually, an intelligent algorithm is introduced to solve the scheduling problem on the production line or assembly line. The common intelligent algorithm in the prior art is to use the genetic algorithm to solve the problem of intelligent scheduling. The allocation efficiency of multiple production tasks, but the genetic algorithm has certain limitations

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  • Intelligent control method for conveying system based on particle swarm algorithm
  • Intelligent control method for conveying system based on particle swarm algorithm
  • Intelligent control method for conveying system based on particle swarm algorithm

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Embodiment Construction

[0093] The specific embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings. It should be noted that the embodiments are only specific illustrations of the present invention and should not be regarded as limiting the present invention.

[0094] Assuming that a professional R & D and production of smart home, the production of products with the characteristics of multi-variety and multi-batch intelligent scheduling needs as the background, with the expansion of enterprise scale and enterprise transformation and upgrading, there is an urgent need for highly flexible and intelligent Delivery production scheduling system.

[0095] For example, the company has two products N1 and N2, where N1 is assembled by assembly J1 and assembly J2, J1 has two processing procedures K1 and K2, and J2 has one processing procedure K1. N2 is assembled from J1, J2, and J3, all of which are one processing procedure. There are 6 mac...

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Abstract

The invention provides an intelligent control method for a conveying system based on a particle swarm algorithm. The method comprises the steps: judging whether the current conveying system needs to be rescheduled or not according to the material storage condition of a warehouse, the fault condition of processing equipment and the change condition of a product order; if it is judged that rescheduling is needed, the data set of the current conveying system is called from the industrial personal computer and used for solving the mathematical model again, a new scheduling scheme is generated, andthe new scheduling scheme returns the new data set to the industrial personal computer and is executed by the industrial personal computer. According to the invention, the production line intelligentscheduling scheme can be optimized, and the method is suitable for multi-thread, multi-product and large-batch production line intelligent scheduling.

Description

technical field [0001] The invention relates to the field of particle swarm algorithm, in particular to the application in the field of multi-objective particle swarm algorithm. Background technique [0002] With the advancement of intelligent industry, the production mode of intelligent manufacturing is gradually applied to the production lines of various industries. The workshop scheduling problem facing intelligent manufacturing is one of the main research directions of intelligent production lines. In order to realize the intelligent scheduling of production lines, Usually, an intelligent algorithm is introduced to solve the scheduling problem on the production line or assembly line. The common intelligent algorithm in the prior art is to use the genetic algorithm to solve the problem of intelligent scheduling. The allocation efficiency of multiple production tasks, but the genetic algorithm has certain limitations. Contents of the invention [0003] The technical pro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04G06N3/00G16Y10/25G16Y40/10G16Y40/30
CPCG06Q10/04G06Q10/06312G06Q10/06313G06Q50/04G06N3/006G16Y10/25G16Y40/10G16Y40/30Y02P90/30
Inventor 郦仕云
Owner 浙江优智物联科技有限公司
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