A Trust Level Evaluation Method for Intelligent Numerical Control Systems Driven by Edge Intelligence

With the increase in the number of networking devices in the industrial field, the total amount of data increases, resulting in huge broadband pressure and power consumption, making the traditional centralized processing outdated, and giving rise to the development of edge computing in the industrial field. To ensure the security of the overall network, the trust concept of the access terminal computer numerical control (CNC) system is introduced as an important basis for improving the manufacturing capability of CNC machine tools, so the inclusion of computing power and trust mechanism in the intelligent CNC system is a good solution to the lack of computing and analysis resources and the ability to reduce the security risks of the CNC system. In this paper, we mainly design a trust level evaluation method for the intelligent CNC system based on edge intelligence, which incorporates the trust evaluation in the edge computing environment, and effective plans and coordinates the cloud, edge, and final resources in the intelligent CNC system. We designed the trust degree model evaluation and constructed the security trust level of the CNC intelligent system with the collaboration between the cloud and the edge. Finally, the experimental scheme is validated and tested in a real environment.