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In order to promote the development of national intelligent manufacturing, facing the difficulties of real-time monitoring of equipment in the production process, poor transparency, low efficiency of management and control, and complex cross-disciplinary situation, a production line equipment monitoring method based on digital twins is proposed and implemented by integrating MBSE ideas. Firstly, a monitoring method architecture based on digital twins is proposed; Based on SysML modeling language, the production line system and equipment are uniformly described and modeled, and the structure diagram and behavior diagram are established to form a data model; Through the combination of SysML model and OPC UA, the virtual and real mapping is carried out in the way of dual-channel driving of displacement data and task data, and the abnormal alarm tracing mechanism is established; Taking the stacker, the core equipment in the storage system, as an example, its SysML model and digital twin model are constructed, and the real-time cache database redis of the storage production line is used as the data source. The data-driven digital twin model is obtained and updated in real time through OPC UA to realize its three-dimensional visual monitoring, which verifies the feasibility and timeliness of the method