This application discloses a
radar-based method and related device for detecting
tunnel wall leakage, relating to the field of
tunnel engineering operation and maintenance. The method acquires echo signals reflected from the detection area of the
tunnel wall at multiple acquisition times; analyzes each
echo signal to obtain wall surface state data; compares multiple wall surface state data with pre-acquired wall surface
dryness data to obtain state difference values, which can eliminate background interference from the inherent material and structure of the
tunnel wall, highlighting abnormal differences caused by leakage, and improving the stability and accuracy of detection; by inputting the state difference values into a pre-constructed leakage discrimination model to determine whether the detection area is leaking, automated identification and judgment can be achieved. It can stably and accurately complete leakage detection in complex environments such as dim lighting, dust,
fog, fluctuating temperature and
humidity, and changing wind speeds, effectively solving the problems of poor environmental adaptability and low detection accuracy in existing technologies.