The invention relates to the technical field of digital twinning, and discloses a digital twinning modeling method for the operation state of
industrial equipment, and the method comprises the following steps: S1, carrying out the collection and systematic preprocessing of multi-source heterogeneous data; s2, constructing a multi-dimensional progressive virtual twinborn body, sequentially constructing a geometric model, a
physical model, a behavior model and a data driving model on the basis of a mixed modeling pattern, and forming a four-layer collaborative virtual twinborn body; s3, dynamically calibrating the model and updating the whole life cycle, adopting a filtering
algorithm to calibrate the virtual twin parameters in real time, and establishing a dynamic updating
system of a multi-trigger mechanism; and S4, virtual-real closed-loop interaction and multi-level
verification are carried out, a bidirectional data interaction channel of physical equipment and a virtual twinborn body is constructed, the effectiveness of the model is verified through a static, dynamic,
fault injection and on-site actual measurement four-level
verification system, real-time mapping and autonomous
decision control of the operation state are realized, and the effectiveness, reliability and extreme working condition adaptability of the model are improved.