Method for detecting frost on the surface of an aircraft based on laser thickness measurement and visual image analysis

By employing a multimodal fusion scheme combining laser thickness measurement and visual image analysis, the real-time performance and accuracy issues of aircraft surface frost detection have been resolved. This enables efficient and robust frost monitoring and alarm, making it suitable for rapid detection in smart airports.

CN120807399BActive Publication Date: 2026-07-24CHINA AERO POLYTECH ESTAB
2 Cites 0 Cited by

Patent Information

Application Number
CN202510773975.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2026-07-24
Estimated Expiration
2045-06-11

AI Technical Summary

Technical Problem

Existing technologies for detecting frost on aircraft surfaces suffer from low efficiency, susceptibility to subjective errors, and inability to achieve real-time monitoring. Single-sensor methods lack generalization ability and have low environmental adaptability, making it difficult to meet the needs of efficient airport scheduling and intelligent operation and maintenance.

Method used

A multimodal fusion scheme based on laser thickness measurement and visual image analysis is adopted. Combining the laser scattering model and the visual image anomaly detection algorithm, the thickness of the frost layer is calculated through the principle of laser reflection. Image features are collected using a color camera, and an image feature benchmark library is constructed for comparison to achieve weighted fusion detection of multimodal information.

Benefits of technology

It achieves high-precision, real-time frost thickness detection, improves the system's robustness to environmental interference, can promptly trigger alarms and perform de-icing operations, enhances the safety and efficiency of aircraft ground operations, and is suitable for airport environments with varying temperatures and lighting conditions.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

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.
Need to check novelty before this filing date? Find Prior Art