The application provides a kind of aircraft surface
frost detection method based on
laser thickness measurement and visual
image analysis, which comprises the following steps: S1, build aircraft surface
frost detection
system;S2,
train and build image feature reference
library under ice-
free state;S3, initialize setting to detection
system;S4, calculate
frost layer thickness;S5, collect aircraft surface image and calculate abnormal value;S6, collect image of ground area and calculate abnormal value;S7, normalize and weighted fusion calculation are carried out to multi-
source data;S8, judge whether the fusion value is greater than the preset threshold, if the fusion value is greater than the preset threshold, there is ice and frost in the current detection area of aircraft surface, and the detection
system will trigger
defrosting prompt alarm and
defrosting. The application constructs a multi-
modal fusion scheme based on
laser scattering model and visual image
anomaly detection algorithm, considers the complex mechanism and optical properties of frost layer formation, this method has higher robustness to environmental interference, and can trigger alarm and deicing operation in time, effectively reduces the burden of
aircraft maintenance personnel, enhances the safety and efficiency of aircraft ground operation.