Digital Twin System Based on NoSQL Database

With the rapid development of digital twin technology in the industrial field, there is an increasing demand for complex data management and real-time processing functions. This paper explores the application of non-relational databases in digital twin modelling and demonstrates their advantages over traditional relational databases through a case study of an electronic component assembly workshop. The study first describes the key characteristics of non-relational databases, including their flexibility, scalability, and ability to handle big data efficiently, which make them ideal for supporting digital twin models. The paper then proposes a framework for a digital twin model based on non-relational databases, detailing how the framework exploits the features of non-relational databases for efficient data synchronization, storage and analysis. By applying the model to an electronic component assembly shop and comparing it with a traditional relational database-based solution, the results show that the non-relational database-based model has significant advantages in terms of data processing efficiency, system response time, and scalability.