Industrial intelligent control system based on software definition

Abstract

According to the industrial intelligent control system based on software definition provided by the invention, computing power optimization scheduling and dynamic reconstruction can be realized in a software definition manner, resources are allocated to different industrial control tasks and edge computing tasks as required, and an edge intelligent controller with differentiated control and computing capabilities is constructed; meanwhile, a real-time industrial control task and a non-real-time edge intelligent calculation task are supported, and the method has great significance and practicalvalue for improving the utilization rate of industrial edge equipment resources, improving the overall edge service capability and reducing energy consumption. Besides, real-time control and non-real-time computing task requirements of industrial intelligent control, edge computing, industrial AI and the like can be met, platform capabilities of an edge side and a cloud side are broken through, the method has the advantages of fusion, intelligence, real-time performance and flexible expansion, and a brand-new solution which is efficient, differentiated, low in cost, space-saving and easy to maintain is provided for industrial intelligent control.

Description

technical field [0001] The present application relates to the technical field of industrial automation control, and more specifically, relates to an industrial intelligent control system based on software definition. Background technique [0002] The industrial intelligent control system is an important basis for the realization of intelligent manufacturing and intelligent factories. By building intelligent industrial control systems and networked industrial infrastructure, industrial production can be equipped with real-time control, independent decision-making, and system autonomy. The intelligent interaction and automation collaboration among them can improve the efficiency and intelligent level of industrial production. [0003] At present, there are mainly three types of industrial intelligent control implementation systems in existing technical solutions: (1) Adding AI modules to industrial controllers, this system can upgrade existing ordinary industrial controllers t...

AI Technical Summary

Problems solved by technology

[0003] At present, there are mainly three types of industrial intelligent control implementation systems in existing technical solutions: (1) Adding AI modules to industrial controllers, this system can upgrade existing ordinary industrial controllers to support industrial AI The application of intelligent controllers, but the interface adjustment between hardware is more complicated and difficult to transform; (2) On the general industrial server, use virtualization technology to realize the industrial control system that supports real-time and non-real-time task processing at the same time, the system can Realize the flexible and efficient allocation of hardware resources, but the implementation cost is relatively high; (3) AI controller, the system is equipped with an AI processor when the industrial controller is designed and manufactured, and can support industrial real-time control and industrial AI task processing at the hardware level , but lack of software platform support, poor isolation between real-time and non-real-time tasks, and low resource utilization

[0004] As a result, the implementation system of industrial intelligent control in the prior art has been unable to meet the business requirements and technical challenges of industrial intelligent control

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