The application belongs to the technical field of
tunnel engineering detection, and specifically discloses a soft surrounding
rock tunnel initial support cavity detection method and
system, which comprises the following steps: collecting data and calibrating positions through a
radar detection vehicle, analyzing local electromagnetic wave characteristics to determine cavities and mark suspicious areas, extracting time differences to calculate cavity depths in combination with electromagnetic wave speeds, determining longitudinal lengths and transverse widths according to
radar images, calculating initial detection volumes in combination with a cavity shape pattern
library, confirming actual parameters through secondary reexamination, finally evaluating structure risk levels according to actual positions and volumes, and generating a detection report; the
radar detection vehicle is used for non-contact geological
radar detection, so that physical damage of a support structure caused by traditional drilling is avoided, the integrity of the support structure is ensured, and through quantitative criteria of multiple characteristics such as reflected wave amplitude, phase and waveform, subjective artificial judgment is replaced, the objective reliability of detection results is improved, and the detection efficiency is greatly improved in the automatic and
continuous scanning mode.