A dynamic evolution modeling method for system-level digital twin models based on X Language

With the advancement of industrial equipment towards high precision and high integration, traditional static maintenance modes are no longer sufficient to meet the demands of complex dynamic environments, making dynamic operation and maintenance (O&M) based on Digital Twins (DT) an inevitable trend. However, the construction of a DT system is a complex engineering endeavor involving multiple domains and tools. Breaking the barriers between requirement analysis and system modeling to achieve an integrated implementation—from requirement collection to consistency and evolutionary modeling—remains a critical challenge.To address this issue, this paper proposes an evolutionary modeling method for Digital Twins based on the X Language. First, an evolutionary modeling framework named DT-DEVS is constructed based on the Discrete Event System Specification (DEVS), providing formal definitions for three core evolutionary behaviors: parameter drift, mechanism alteration, and structural mutation. Second, leveraging the X Language, which supports Model-Based Systems Engineering (MBSE), the DT-DEVS framework is syntactically formalized to establish an integrated development environment for requirement analysis, architectural design, and simulation verification. Finally, the proposed method is validated through a case study of a robotic arm end-effector system involving structural evolution. The results demonstrate that the proposed method effectively shortens the DT development cycle and significantly enhances the model's capability to track the dynamic evolutionary processes of physical entities.