The present invention relates to the field of underground
engineering technology, and discloses a method, device, equipment and storage medium for advanced prediction of rock
mass quality. The method comprises: conducting a geophysical detection
comparative test on a known target body to determine the
noise critical value and optimize the inversion
algorithm; obtaining multi-point geophysical detection results on the tunnel face facing the intended excavation direction, performing three-
dimensional modeling and
slicing processing on the multi-point geophysical detection results, and generating a two-dimensional map of the geophysical detection results; obtaining
engineering geological survey parameters of multiple
field survey points in the two-dimensional map of the geophysical detection results, and calculating the rock
mass quality pre-evaluation value of each
field survey point; obtaining the geophysical detection value of each
field survey point, establishing a
large model for advanced prediction of rock
mass quality, drawing a rock mass quality fitting curve, and determining the advanced prediction value of the rock mass quality of the point to be predicted based on the geophysical detection results of the point to be predicted. The present application realizes the advanced quantitative evaluation of the rock mass quality in the area where the shaft and tunnel are to be excavated, effectively ensuring the safety of shaft and
tunnel engineering construction in advance, and improving construction efficiency.