TBM jamming risk prediction method and system

The invention discloses a TBM jamming risk prediction method and system, and the method comprises the steps: carrying out the statistical analysis of obtained historical TBM tunneling state parametersand corresponding surrounding rock state parameters, and obtaining TBM tunneling influence factors affecting the TBM jamming risk level; training the convolutional neural network according to the TBMtunneling influence factors and the TBM jamming risk level, and constructing a TBM jamming risk prediction model; and according to the TBM jamming risk prediction model, obtaining the TBM jamming risk level under the real-time TBM tunneling state parameters. According to the collected surrounding rock state data and TBM tunneling state parameters, principal component analysis is carried out on the surrounding rock state data and the TBM tunneling state parameters to obtain main influence factors, a TBM jamming early warning model is constructed, the obtained TBM real-time tunneling parametersare predicted in real time