Design of Intelligent Data Synchronization and Analysis Algorithm Combining Digital Twinning and Internet of Things

With the widespread application of IoT (Internet of Things) and the rapid growth of data volume, how to ensure real-time synchronization and accurate analysis of data have become a key issue in current research. This article addresses this issue, proposed a DT-based approach, the intelligent data synchronization and analysis algorithm of Digital Twin technology. DT technology provides a virtual and real-time data model for IoT devices, enabling real-time monitoring and prediction of device status. This article defines the basic architecture of the combination of DT and IoT, and designs an efficient and accurate data synchronization mechanism based on the characteristics of IoT. This mechanism not only considers the real-time and integrity of data, but also considers the accuracy and accuracy of data verification. Next, this article proposes a set of data analysis algorithms to deeply mine the data and provide accurate decision support for the DT model. The experimental results show that our method exhibits significant advantages in both data synchronization and data analysis.