Cloud-side collaborative, flexible distributed manufacturing management and control method and its software system

Abstract

The present invention provides a cloud-edge collaborative, flexible distributed manufacturing management and control method and its software system, including: a cloud service subsystem providing software services for business needs to users; a distributed edge service subsystem corresponding to a device unit; The distributed edge service subsystem mapping corresponds to the data model construction of the equipment unit. The data model construction includes equipment data mapping and equipment business function logic mapping; the software service of the cloud service subsystem sends business requirements to the task management in the form of tasks, and stores them in the In the task pool of task management, task management combined with the production scheduling algorithm screens the tasks in the task pool, and splits the tasks to the corresponding distributed edge service subsystem as required; the distributed edge service subsystem is based on receiving The task control corresponds to the equipment unit. Through the scheduling and monitoring of the edge terminal in the cloud, the management and control of production can be realized, and the flexible production control with stronger adaptability and better versatility can be 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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