The application discloses a method for precisely controlling a
proton treatment process, comprising the following steps: selecting a feeding
voltage fluctuation amplitude greater than or equal to U0 as a late fault prediction standard; collecting data of a leakage current, a cavity vacuum degree and a feeding
voltage value, and establishing a
time sequence sample
database; constructing and training an LSTM-based
time sequence prediction model; collecting electrostatic deflection plate leakage current and vacuum degree data at a current t time point in real time; using the data collected at the current t time point as input of the prediction model, and predicting a feeding
voltage fluctuation amplitude at a t+1 time point through the prediction model; after predicting that a fault is about to occur, issuing an instruction through a PLC to control a central area
vertical deflection plate to shut off a beam current; and after predicting that the fault is eliminated, issuing a reset
signal; through the combination of the two predictions, the application excludes factors causing
instability of the beam current in the treatment process, and immediately resumes the treatment after the factors causing
instability of the beam current are excluded, so that the
proton treatment process is precisely controlled.