Airplane surface ice accretion evolution state identification method and system
An identification method and surface area technology, applied in the field of ice detection on aircraft surface area, can solve the problems of high image quality requirements, large influence, limited accuracy, etc., and achieve the effects of good application prospects, small result errors, and high reliability.
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Embodiment 1
[0103] Such as figure 1 As shown, the identification method of aircraft surface ice evolution state includes:
[0104] (1) Determine the atmospheric temperature T, humidity h, wind speed v, and air pressure P as input variables, and ice type m and ice thickness d as output variables
[0105] (2) Taking the historical temperature, humidity, wind speed and air pressure data as input variables, and taking the ice accumulation type and thickness under the corresponding historical meteorological factors as output variables to construct the input and output sequence ,
[0106] (3) Half of the input and output sequence in step (2) constitutes the past moment input and output Hankle matrix , , and the other half constitutes the input and output Hankle matrix at the future time , ;
[0107] (4) the step (3) in the p, f Select the parameter n greater than the order of the system to obtain the Hankle form state space expression , , and then get the generalized observab...
Embodiment 2
[0172] An algorithm for identifying the evolution state of icing on the aircraft surface. The identification of the evolution state of icing needs to obtain historical data of input and output variables as a training set and a test set. Collect meteorological data through temperature and humidity sensors, anemometers, and barometers, such as figure 2 The temperature curve of a certain period of time collected by the temperature sensor, image 3 Humidity curves collected by anemometer for a certain period of time, Figure 4 It is shown in the air pressure curve of a certain period of time collected by the barometer.
[0173] The meteorological data is uniformly used in international units, and the data is processed to eliminate useless data groups. Gray-scale processing and edge processing are performed on the ice-type image, compared with conventional bright ice, frost ice, mixed ice gray-scale images, and edge images to identify the type of ice and determine the k value. ...
Embodiment 3
[0175] The aircraft surface ice evolution state identification algorithm, after obtaining the output matrix of implementation 1, the meteorological factors such as temperature, humidity, wind speed and air pressure collected by the airborne equipment are substituted into the model, and the actual value and identification of ice thickness are obtained as shown in Table 1. value.
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