The invention discloses a digital twinning-based fault diagnosis
system, diagnosis method and application, and the
system comprises a hardware platform, a digital twinning fault diagnosis model and a cloud, and the hardware platform is used for collecting vibration, temperature and sound signals during the operation of equipment; the cloud is used for receiving data sent by the hardware platform and the controller and sending a fault state; the digital twinning fault diagnosis model comprises a physical
data input layer, a digital twinning modeling layer, a virtual-real data fusion layer, a
causal reasoning layer and an output layer, data collected by the hardware platform is input into the physical
data input layer, modeling is carried out on key components of equipment through the digital twinning modeling layer, virtual fault data is generated, and the virtual fault data is sent to the hardware platform; and according to the virtual-real data fusion layer and the
causal reasoning layer, distributing weights to each
branch, and displaying a fault diagnosis result through an output layer. The invention can be applied to
refrigeration equipment. According to the invention, fault prediction is carried out in advance, the fault type can be identified, the labor cost and the
time cost are saved, and the identification accuracy is improved.