Intelligent workshop collaborative manufacturing method

Abstract

The invention provides an intelligent workshop collaborative manufacturing method. A task layer, a decision-making layer and an equipment layer are involved. The task layer sends tasks to idle intelligent equipment of the equipment layer; or the task layer sends tasks to the decision-making layer and stores the tasks in a task pool; the equipment layer receives the tasks sent by the task layer or queries the tasks in the task pool; the intelligent equipment of the equipment layer screens the received tasks or queried tasks; the intelligent equipment adds the screened tasks into a to-be-processed queue; the intelligent equipment sends the to-be-processed queue to the decision-making layer and stores the to-be-processed queue in an equipment pool; and the decision-making layer queries the information in the task pool and the equipment pool and carries out arbitration according to an optimization strategy. According to the intelligent workshop collaborative manufacturing method of the invention, direct communication between the tasks and the equipment can be realized, so that flexible and real-time scheduling can be realized.

Description

technical field [0001] The invention relates to the technical field of production task scheduling, in particular to an intelligent workshop collaborative manufacturing method. Background technique [0002] In recent years, with the introduction of strategies such as Industry 4.0, Industrial Internet and intelligent manufacturing, as well as the rapid development of New IT and NewAI technologies and their in-depth application in the field of manufacturing, ubiquitous perception, pervasive computing, human-machine-thing-environment Interconnection, deep integration of physical space and virtual space have become important features of smart workshops under Industry 4.0. [0003] Most of the traditional workshop operation mode adopts the centralized management and control with MES as the core, that is, the centralized and unified management and control of time, cost, quality, resources and energy consumption and other factors in the workshop production process are realized throu...

AI Technical Summary

Problems solved by technology

This abnormal handling method leads to a lag in the handling of problems on the production site, and the system stability is not high. When there is a problem with the MES or a problem with the information transmission of a certain node, the entire process will stagnate, affecting production efficiency. The real-time data is real-time, and abnormal no instant processing

[0004] The above operation mode aims to obtain the global optimal solution, which will easily lead to too long solution time, untimely decision-making, and decision-making speed that cannot keep up with the speed of change; the combination and sequencing of resources (or equipment) and tasks (or work) are determined by MES scheduling , no information interaction with each other, lack of active discovery, independent matching and decision-making capabilities; most of the operating modes are limited to the workshop or within the enterprise, and the scalability to the workshop or outside the enterprise is not strong, and the coordination ability is weak

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