An Industrial Internet Platform for Industrial Robots Based on Cloud-Edge-End Service Collaboration

In the extensive adoption of industrial robots in practice, a multitude of challenges are supposed to be addressed, including the complexities associated with remote monitoring, operational process management, the technical expertise for maintenance, and the time-consuming feature of debugging and deployment processes. However, the conventional service pattern employed in management of industrial robots is hindered by several shortcomings, such as limited computational efficiency, high communication delays, inadequate data privacy, and high demand for network and configuration. Consequently, this study proposes an industrial robot platform on the basis of cloud-edge-end collaboration architecture, which utilizes computing resource virtualization, container orchestration technology, and CI/CD tools to facilitate the deployment of cloud-edge-end collaboration services. To validate the feasibility of the architecture proposed, an industrial robot monitoring scenario is taken as an example. The results demonstrate that the architecture partially mitigates the shortcomings of traditional services, thereby offering valuable insights and guidance for cloud-edge-end based management of industrial robots.