Cloud-edge collaborative and flexible distributed manufacturing management and control method and software system thereof

Abstract

The invention provides a cloud-side collaborative and flexible distributed manufacturing management and control method and a software system thereof. The method comprises the following steps: a cloud service subsystem provides software service required by business for a user; one distributed edge end service subsystem corresponds to one equipment unit; the distributed edge end service subsystem maps data model construction of the corresponding equipment unit, and the data model construction comprises equipment data mapping and equipment business function logic mapping; the software service of the cloud service subsystem sends business requirements to task management in a task form, the business requirements are stored in a task pool of the task management, the task management is combined with a production scheduling algorithm to screen tasks in the task pool, and the tasks are split and sent to the corresponding distributed edge end service subsystems according to needs; and the distributed edge end service subsystem controls the corresponding equipment units based on the received tasks. According to the invention, production control is realized by scheduling and monitoring the edge end at the cloud end, and flexible production control with stronger adaptability and better universality is realized.

Description

technical field [0001] The present invention relates to the field of digitized and automated manufacturing, in particular to a cloud-edge collaboration-based, flexible distributed manufacturing control method and a software system thereof. Background technique [0002] Flexible manufacturing is a production mode that widely exists in today's manufacturing industry. It is a consumer-oriented production mode characterized by customization and personalization. In recent years, people's demand for product diversity has continued to increase. Under the background of the gradual integration of manufacturing technology, Internet of Things and artificial intelligence technology, the traditional flexible manufacturing model is facing urgent transformation and upgrading. [0003] figure 1 It is a schematic diagram of the traditional manufacturing execution system architecture. Among them, equipment and its electrical signal data are collected through SCADA and other systems, and var...

AI Technical Summary

Problems solved by technology

Among them, equipment and its electrical signal data are collected through SCADA and other systems, and various services of the manufacturing execution system (such as dispatch management, order management, process management, etc.) are directly connected to the data. For flexible manufacturing, this architecture leads to the binding of services and business functions. Can only be flexible within a limited range, which is not conducive to system scalability

Overall, this architecture generally has poor flexibility and poor scalability.

[0004] The existing flexible manufacturing system mainly reflects the flexibility of the manufacturing system through the flexibility of the manufacturing unit. The flexible manufacturing system needs to be customized for the manufacturing unit, which has low versatility. , the project implementation period is long and the cost is high

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