The invention provides a deep
coal seam roadway surrounding rock stability intelligent early warning method, and relates to the technical field of
coal mine dynamic disaster prevention and control. According to the intelligent early warning method for the stability of the surrounding rock of the deep
coal seam roadway, a basic sample
library is constructed through a dynamic and static combined loading rock test; synchronously collecting field surrounding rock
static stress and micro-seismic data and carrying out
time sequence polymerization; constructing an equivalent dynamic and static combined
stress index based on a dynamic and static load
superposition principle, and forming a seismic-force
coupling feature vector; establishing an LSTM
early warning model, adopting a transfer learning strategy, pre-training by using laboratory data, and then performing
fine tuning by using
field data; inputting the real-time
feature vector into a model and outputting an
instability probability; and verifying and correcting the probability based on actual deformation data of the surrounding rock, and applying a missing report sample to online incremental updating of the model. According to the method, the dynamic and static load
coupling effect is quantified, the difficulty of
small sample training is overcome, and accurate and self-adaptive early warning of the deep roadway surrounding rock
instability risk is realized through a physical feedback closed-loop correction mechanism.