The invention relates to the technical field of
road surface detection, in particular to a
road surface skid resistance detection
system based on multi-
feature fusion, which comprises the following steps: applying
broadband sweep frequency excitation by using a
frequency modulation vibration sensor, matching with the inherent frequency of
road surface texture to generate local
resonance, and collecting the temperature,
humidity and rainfall of a road surface in real time; performing
fast Fourier transform on the collected vibration signals to obtain a
resonance response spectrum, extracting key parameters through
Gaussian fitting, and fusing
frequency domain, material and environment data to form a comprehensive
feature set; the
frequency domain features are converted into three-dimensional
energy distribution of pavement microtextures, the actual contact
area ratio is calculated according to the three-dimensional
energy distribution, an environment temperature and
humidity compensation factor is introduced, and a dynamic friction
attenuation coefficient is calculated; and comparing the calculated dynamic friction
attenuation coefficient with a third-level safety threshold, and outputting a corresponding anti-skid performance level. Multi-
source data fusion enables a detection result to be more fit with an actual driving scene, and misjudgment caused by single data is avoided.