Abstract: LNG modules are easily affected by material properties and environmental interference during the manufacturing process, and there is a risk of leakage in LNG modules under high pressure conditions, making it difficult to ensure manufacturing quality. Therefore, a research on intelligent manufacturing full process automation control of LNG modules based on digital twin technology is proposed. Based on the five dimensional model concepts of attribute model, process model, simulation model, testing model, and feedback model using digital twin technology, a digital twin model of the entire LNG module manufacturing process is established. Combining the nonlinear coupling relationship between the physical entity parameters of the LNG module, the virtual model is driven by digital twin services to complete the state mapping of LNG module manufacturing parameters from actual to virtual. Utilize distributed sensor networks to collect geometric and physical parameters of LNG modules, extract parameter features, and perceive real-time manufacturing process parameters of LNG modules through synchronous mapping of features and digital twin models. By combining fuzzy logic and adaptive algorithms, a closed-loop feedback mechanism is designed to dynamically adjust and control the manufacturing process parameters of LNG modules, thereby achieving full process automation control and ensuring production efficiency and quality. The experimental results show that after applying design methods to control the entire manufacturing process of LNG modules, the pressure drop rate of the modules is less than 40%, reducing the risk of leakage and ensuring overall quality.