Industrial robot distributed control system middleware framework

Abstract

The invention relates to an industrial robot distributed control system middleware framework, which is integrally located above a physical layer and an operating system and below an application layer and comprises an abstraction layer, a component layer, an equipment management layer and a service layer, the abstraction layer is connected with the physical layer and the component layer, the component layer is connected with the equipment management layer, the equipment management layer is respectively connected with the service layer and the application layer, and the service layer is connected with the application layer. By adopting the middleware framework provided by the invention, industrial robot business scene application developers can conveniently realize business development, cooperative control and monitoring management of robots of different manufacturers in the same scene.

Description

technical field [0001] The invention relates to a middleware framework, in particular to a middleware framework for an industrial robot distributed control system. Background technique [0002] With the reduction of robot manufacturing costs, robot applications have gradually penetrated into various processing and production links in factories. Robot bodies, controllers, and development software are generally designed and developed by each manufacturer independently. Each manufacturer's robots have their own unique features in different flexible and complex scenarios. Therefore, in complex production scenarios, factories often purchase robots from multiple brands to meet business needs. Industrial robots, PLC control systems, on-site detection devices, etc. constitute a complex intelligent space environment. The diversification of controllers, development software, network protocols, and business scenarios makes the industrial robot intelligent space have the characteristics...

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

Images