A consistency evaluation quantification method for ball mill digital twin model based on multidimensional analysis

Due to its capability of real-time mapping of physical entities, digital twins have demonstrated significant potential across various domains. However, how to evaluate whether the established digital twin model can accurately map the physical entity in the real world is a topic that has been overlooked. Considering the high degree of coupling, complex structure, and variable operating conditions of ball mills, a novel consistency evaluation framework suitable for ball mill digital twin models is proposed based on the construction of the digital twin model. The framework comprises three dimensions and nine indicators. It constructs a consistency evaluation indicator system oriented towards reliability, purpose, and functionality dimensions, and further divides it hierarchically based on multidimensional analysis. A quantitative evaluation method based on indicator evaluation is proposed, in which the analytic hierarchy process is employed for comprehensive quantitative evaluation of digital twin models. The proposed method can comprehensively evaluate the consistency of the ball mill digital twin model and also serves as a reference for consistency evaluation quantification research of digital twin models for other equipment.