Distributed scheduling system based on competitiveness and scheduling method thereof

Abstract

The invention relates to the technical field of distributed scheduling, in particular to a distributed scheduling system based on competitiveness and a scheduling method thereof, and the system comprises a consumer set, a producer set and a scheduling center; the scheduling center is responsible for communicating all consumers and producers and deciding and scheduling resources of the producers tothe consumers; the resource transfer control is responsible for transferring resources of consumers and producers according to an instruction of a dispatching center. The method comprises the following specific steps: S1, dynamically allocating workstation tasks; s2, enabling a plurality of producers to compete for production; s3, enabling a plurality of consumers to compete for resources; s4, configuring current resources of the system to an optimal position. According to the invention, equipment of the whole production line is divided according to producers, consumers, a scheduling center and a transfer control function, a system architecture of a multi-equipment production and consumption relationship is synchronized and managed in a competition-based mode, a double-door algorithm of distributed concurrent information synchronization is processed, The system and method rea designed for virtual equipment adapting to system robustness.

Description

technical field [0001] The invention relates to the technical field of distributed scheduling, in particular to a competition-based distributed scheduling system and a scheduling method thereof. Background technique [0002] At present, with the Internet of Things and the improvement and popularization of big data infrastructure, assembly line production plants have begun to develop towards intelligence and unmanned. The intelligent factory assembly line requires smooth information exchange between equipment, smooth automatic flow between objects, and digital records and management of all production and transportation links. More importantly, the intelligent system can intelligently manage and dispatch the production and transportation links of the entire factory. In the production line, often a process can be handled by multiple workers, such as sorting tasks. In an unmanned intelligent factory, a person's position is replaced by a workstation with specialized functions. ...

AI Technical Summary

Problems solved by technology

As the number of concurrent workstations increases, the scheduling system needs to synchronize the amount of information on multiple workstations, and the complexity of summarizing and analyzing the overall data content increases geometrically.

In this process, once a workstation fails to synchronize information or other errors occur, it poses a major challenge to the analysis of the scheduling system

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