Industrial robot control system optimized by wireless resources and cloud resources based on cloud edge multi-cluster containers

In order to improve the control effect of industrial robots, this paper analyzes the application of the joint optimization algorithm of wireless resources and cloud resources based on cloud edge multi-cluster containers in industrial robots, and improves the robot's network resource scheduling. Moreover, this paper analyzes the difficulties and challenges faced by industrial big data analysis, and based on the characteristics of the smart factory and the requirements of modeling, analyzes and uses the related technologies of big data analysis and processing to propose an algorithm system based on the joint optimization of wireless resources and cloud resources. In addition, when modeling the system, this paper maps the software components of the system to the execution platform, adds design factors for the implementation platform, and realizes the collaborative design and collaborative analysis of computer software and hardware. Finally, this paper designs an experiment to verify the performance of the system constructed in this paper. The research results show that the joint optimization algorithm constructed in this paper has a certain effect.