Cloud edge collaborative manufacturing task scheduling method based on intelligent Agent

Abstract

The invention relates to the technical field of task scheduling, in particular to a cloud edge collaborative manufacturing task scheduling method based on an intelligent Agent, which comprises the following steps that S1, a manufacturing task to be scheduled is input into a constructed target decision model; s2, the cloud computing module decomposes the manufacturing task into a plurality of subtasks; then the service quality index of each subtask is constrained to obtain a preliminary scheduling scheme; s3, the edge management and control module detects the disturbance condition of each production line, and if fault disturbance exists in a certain production line, the step S4 is executed; if the fault disturbance does not exist in each production line, the step S5 is executed; s4, the cloud computing module reconstrains the service quality indexes of the subtasks corresponding to the production line to obtain a rescheduling scheme; and finally the step S3 is executed. and S5, scheduling of the manufacturing tasks is completed. According to the cloud edge collaborative manufacturing task scheduling method based on the intelligent Agent, constraint on service quality indexes and disturbance adjustment can be achieved.

Description

technical field [0001] The invention relates to the technical field of task scheduling, in particular to an intelligent agent-based cloud-edge collaborative manufacturing task scheduling method. Background technique [0002] Intelligent manufacturing is one of the main directions of the 14th Five-Year Plan, and industrial big data will become the core of the development of intelligent manufacturing in the future. In the current environment, a large amount of data generated by smart factories (such as sensor data, PLC data, embedded system data, and information system data) permeates all aspects of the production and manufacturing process. Many manufacturing problems need to be combined with real-time data and edge computing. comprehensive perception and dynamic control. Edge computing is a distributed open platform that integrates network, computing, storage, and application core capabilities on the edge of the network close to the source of objects or data. Key requiremen...

AI Technical Summary

Problems solved by technology

However, the existing manufacturing task scheduling method based on edge-cloud collaboration cannot add constraints on service quality indicators during task scheduling, which makes it difficult for the existing manufacturing task scheduling method to obtain the optimal task scheduling scheme.

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