Industrial Robot Distributed Control System Middleware Framework System

Abstract

An industrial robot distributed control system middleware framework, the overall framework is located above the physical layer and the operating system, under the application layer, including abstraction layer, component layer, equipment management layer and service layer, the abstraction layer and the physical layer respectively The component layer is connected to the device management layer, the device management layer is connected to the service layer and the application layer respectively, and the service layer is connected to the application layer. By adopting the middleware framework of the present invention, application developers of industrial robot business scenarios can conveniently realize business development, collaborative control, and monitoring management of robots from different manufacturers in the same scenario.

Description

Industrial Robot Distributed Control System Middleware Framework System technical field The present invention relates to middleware framework, specifically relate to a kind of industrial robot distributed control system middleware framework shelf. Background technique [0002] With the reduction of the manufacturing cost of the robot, the application of the robot gradually penetrates into the various processing and production links of the factory. The robot body, controller and development software are generally designed and developed by each manufacturer independently, and the robots of each manufacturer are flexible in different ways. Complex scenarios have their own unique advantages. Therefore, in complex production scenarios, factories often purchase robots of multiple brands Collaborate to meet business needs. Industrial robots, PLC control systems, on-site detection devices, etc. constitute a complex intelligent The diversification of energy space environment...

AI Technical Summary

Problems solved by technology

However, due to the heterogeneity of robot equipment, real-time communication requirements, and differences in network protocols in the intelligent space of industrial robots, there is currently no mature middleware technology design scheme that can meet the real-time collaboration requirements of industrial robot heterogeneous equipment in complex scenarios at home and abroad. , the existing robot middleware architecture is limited to the robot control system itself, while the robot system and other distributed heterogeneous devices on the industrial site still have many problems in terms of component reuse, interactive collaboration, system maintenance, etc.

The coupling between devices and specific applications is high, the communication methods between heterogeneous hardware devices on site are different, the real-time performance of data interaction is difficult to guarantee, and the lack of unified monitoring and management of field devices makes system maintenance difficult and cannot be adjusted according to the task priority of each device Resource allocation, system performance is difficult to achieve optimal

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