Aircraft large-area icing detection method and detection system

Abstract

The invention belongs to the technical field of aircraft ground icing detection, and discloses an aircraft large-area icing detection method and system. The method comprises the following steps of: preprocessing and labeling a collected airplane surface multi-angle image to obtain a training data set, and dividing the obtained training data set into an ice type training data set and an ice accumulation coordinate training data set according to different label types; according to external environment conditions and the ice accumulation points distributed in each region, utilizing the ice accumulation coordinate training data set to train an ice accumulation coordinate network model; and training an ice type identification network model according to the divided ice type training data set, outputting ice accumulation types in the segmentation ice accumulation pictures of each region of the airplane fuselage needing to be detected, establishing an ice accumulation strength grade calculation formula, and calculating the use amount of the deicing liquid according to the ice accumulation strength grade. In the aspect of ice accretion intensity grade calculation, the external environment variable acquired by the sensor is introduced into the ice accretion intensity grade calculation formula, so that the accuracy of the traditional ice accretion intensity grade calculation formula is improved.

Description

technical field [0001] The invention belongs to the technical field of aircraft ground icing detection, and in particular relates to a large-area icing detection method for an aircraft and a large-area icing detection system for an aircraft. Background technique [0002] In cold weather, because the moisture in the air condenses on the surface of the aircraft, it will cause the problem of aircraft icing. The impact of aircraft icing on flight safety is multi-faceted, mainly reflected in the following aspects: 1) Under icing conditions, The maximum lift coefficient of the aircraft and the slope of the lift curve decrease, and the drag and critical stall speed increase; 2) Wing icing can lead to a reduction in the airfoil stall angle of attack, and tail icing can lead to tail stalls, especially under flaps In the wash flow; 3) asymmetrical icing may cause additional rolling moment; 4) the icing of the aircraft tail may generate more viscous force and increase the difficulty of...

AI Technical Summary

Problems solved by technology

[0007] (1) Existing studies have seldom studied the icing area and freezing point distribution on the aircraft surface, but focus on the ice type and thickness of the icing, less consideration is given to the icing area, and cannot comprehensively Reflects the objective state of the aircraft when a large area of ​​ice is formed

[0008] (2) In the prior art, the same network model is usually used for the fitting output of various identification functions of ice accretion, and the fitting effect of each individual index is not good

[0009] (3) At present, images are used to identify disease thickness or sensors measure indirect variables to determine icing ice types and icing intensity levels, but there are few studies that combine the two with multiple evaluation indicators, which cannot fully reflect the icing status of the aircraft surface. It is easy to cause a large deviation in the amount of deicing fluid used

[0010] The difficulty of solving the above problems is: for different recognition functions, it is necessary to design multiple neural network models with different emphases, and it is necessary to fully investigate the core difficulties and data characteristics of the task, and the design is difficult

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