Edge computing and machinery automation application for intelligent manufacturing equipment

The aim is to explore the machinery automation of intelligent manufacturing equipment under the edge computing algorithm and guarantee the safety of intelligent equipment. Given the problems in the machinery automation of intelligent manufacturing equipment in the current mechanical field, the intelligent manufacturing equipment model based on edge computing is implemented through edge computing technology and is divided into three modules: data acquisition, data processing, and data communication. Finally, the proposed model performance is analyzed under simulation. The results show that in the security performance analysis, different edge nodes can maintain the optimal strategy when the cost is minimized. When the amount of task data is less than 8 Mb, the proposed intelligent manufacturing equipment model based on edge computing has a lower delay (less than 3,000 ms), lower energy consumption (less than 450 J), and higher reliability (more than 95%). Therefore, the results indicate that the proposed intelligent manufacturing equipment model based on the edge computing pattern has higher reliability while ensuring safety performance, which provides an experimental reference for the development of machinery automation of intelligent equipment in the current mechanical field.