The invention discloses a complex equipment
IETM system based on digital twinning. The complex equipment
IETM system comprises the following steps that S1, multi-source heterogeneous data are collected and preprocessed; s2, constructing a multi-
scale space-time coupled digital twin model to realize real-time modeling of equipment; s3, utilizing non-Euclidean
space mapping to establish a dynamic evolution track of the equipment; s4, the information entropy is calculated and the
model parameters are dynamically adjusted by monitoring the
equipment state in real time; s5, generating a fault prediction and maintenance scheme, and optimizing the operation state of the equipment; s6, displaying an
equipment state and a maintenance suggestion through an
IETM system, and providing equipment
management support; and S7, continuously optimizing the twin model by the system. According to the invention, the equipment maintenance precision is improved, and the use efficiency, the maintenance convenience and the
information acquisition accuracy of the equipment are improved in real time.