Research on Data Collection Methods for Assembly Performance of Array Antennas in Digital Twin Workshops

Aimed at the characteristics of multi-source heterogeneity and the rapid generation of data in digital twin workshops, as well as the current situation where communication protocols between equipment within the workshop vary greatly and are difficult to interconnect, a data integration method based on OPC UA is designed. Firstly, combining the process flow and data source characteristics of array antenna assembly, a data collection and transmission scheme based on OPC UA was designed. Secondly, a process information model of array antenna assembly was established to realize data perception and transmission and solve the difficulties of complex data structure, high real-time requirements, and heterogeneous data in digital twin workshop. Finally, the proposed method and model were applied to the performance prediction platform for an array antenna assembly process based on digital twins, achieving perception of process data during the assembly process of array antennas, and achieving performance prediction and visualization for various stages of array antennas based on assembly process data.

Automated summary

This paper presents a data integration method based on OPC UA to address the challenges of multi-source heterogeneity and rapid data generation in digital twin workshops. By designing a data collection and transmission scheme and establishing a process information model, the proposed method achieves data perception and transmission, and has been successfully applied to a performance prediction platform for array antenna assembly processes.