The invention discloses a
Tokamak plasma fracture grading protection method and
system, and the method achieves the combined prediction of the fracture
occurrence probability and the
hazard degrees of different
hazard types through a multi-task
deep learning model, can achieve the early warning of the
fracture risk, and also can achieve the prediction of the
hazard degrees of halo current,
thermal load and escape current. Then, attribution analysis is carried out on the multi-
modal diagnosis signals, key features in the multi-
modal diagnosis signals are determined, then fracture inducements are determined based on the key features, and remaining
time windows from the
current time node to fracture occurrence are determined; in the stage of hierarchical protection
decision making, in combination with reversibility determined based on fracture inducement, flow reduction stability determined based on the damage degree of each fracture damage type and flow reduction adequacy determined based on a remaining time window from a
current time node to fracture occurrence, inhibition means with different intensities are constructed in a targeted manner, excessive response is avoided, and the reliability of the
system is improved. Therefore, the operation efficiency of the
Tokamak device is maintained to the maximum extent.