The modeling of digital twin and the interaction with physical entity are realized by data mapping,which provides a new idea for the increasingly complex health state analysis of manufacturing system.Aiming at product quality,machine tool performance and task execution status,a framework for health status assessment and prediction of digital twin workshop based on data interaction and fusion was constructed.A machine tool failure expectation function was established,considering the effects of equipment performance degradation and product quality on the failure rate,and a Copula manufacturing system health expression associated with task reliability and product quality was proposed.Taking the manufacturing system of diesel engine cylinder head as an example,the results show that the proposed method can dynamically and efficiently judge the health state of the manufacturing system and effectively identify the influence of different factors on the health state of the manufacturing system.