Digital Twin Virtual-Real Mapping Technology Based on Cloud Architecture

Digital twin virtual-real mapping technology is the key to realize seamless connection between the physical world and the digital world. This paper aims to propose a digital twin virtual-real mapping framework based on cloud architecture by in-depth analysis of the advantages of cloud platforms in scalability and high availability, and apply it to the entire manufacturing process of airborne product Power Supply Control Unit (PSCU) to build an efficient and reliable digital twin system for PSCU manufacturing. First, a twin model construction method based on point cloud data is proposed to achieve accurate characterization of the full-element twin model of the PSCU manufacturing process, providing a model foundation for digital twin virtual-real mapping. Secondly, a real-time data governance method based on the Internet of Things Database (IOTDB) is proposed to achieve efficient real-time acquisition, storage, analysis and fusion of multi-source heterogeneous data of large-scale twin models, providing real-time data for digital twin virtual-real mapping. Thirdly, a digital twin virtual-real mapping method based on the cloud platform is designed. Through real-time data driving, model mapping, behavior mapping and state mapping in the PSCU manufacturing process are realized. And based on virtualization technology, the flexible deployment and application of the digital twin system are realized, making the airborne product manufacturing process transparent and visible.