Implementation of Real-Time Robot Monitoring and Scheduling Platform in Cloud Manufacturing Environment

Cloud manufacturing has developed rapidly in recent years, and a large number of robot resources need to be connected to the cloud platform. A low-coupling, highly scalable cloud manufacturing platform is urgently needed. It should provide widespread access, real-time monitoring of robot resources, and performance testing of scheduling algorithms. To achieve this, with the scheduling goals of minimizing manufacturing cost, minimizing manufacturing time, and maximizing manufacturing quality, a cloud manufacturing scheduling model based on real-time monitoring is proposed. Additionally, a cloud manufacturing real-time monitoring and scheduling platform is developed. The platform includes system management, resource monitoring, task management, algorithm management and other functions. The platform, which adopts a microservices architecture, has the advantage that each module runs independently and has strong scalability. Tests demonstrate that the platform can meet the needs of real-time monitoring of robots and performance testing of scheduling algorithms written in different programming languages, as well as security and performance in the cloud manufacturing environment. This research has positive significance for the implementation of cloud manufacturing.