Abstract: In response to the demand for the intelligent development of production lines, a data-driven digital twin system for the production line has been constructed, addressing challenges such as lengthy on-site debugging cycles, limited three-dimensional visualization capabilities, asynchronous production data, and high on-site monitoring costs typically encountered in traditional production lines. Initially, the digital twin models for various equipment on the production line were constructed using Process Simulate. Real-time data from production line equipment was retrieved via OPC UA and Modbus communication protocols, based on the data communication network and data acquisition architecture diagram. This data was subsequently stored in the corresponding database, serving as the data source driving the digital twin model, thereby enabling the real-time mapping of physical entities by the digital twin model. Finally, a virtual simulation environment was established for the virtual commissioning of the digital twin system. Additionally, the effectiveness and feasibility of the production line digital twinning system were verified by constructing an example verification platform. This paper highlights the successful construction of the production line digital twin system and emphasizes the potential impact of digital twinning technology on the intelligent evolution of modern production lines.