Method and device for predicting and evaluating atmospheric environment of full orbit of aircraft

Abstract

The invention discloses an atmospheric environment prediction and evaluation method and device for an aircraft full orbit. The method comprises the following steps: acquiring an atmospheric environment parameter prediction value set and an atmospheric parameter measurement value set of an aircraft orbit; the atmospheric environment parameter predicted value set comprises position coordinate information of a plurality of discrete points on an aircraft orbit and a corresponding atmospheric environment parameter predicted value sequence; the atmospheric parameter measurement value set comprises position coordinate information of a plurality of discrete points on an aircraft orbit and a corresponding atmospheric environment parameter measurement value sequence; respectively preprocessing the atmospheric environment parameter predicted value set and the atmospheric parameter measured value set to obtain a preprocessed atmospheric environment parameter predicted value set and a preprocessed atmospheric parameter measured value set; performing prediction evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction evaluation value; the prediction evaluation value is used for evaluating the prediction accuracy of the atmospheric environment parameter prediction value set.

Description

Technical Field

[0001] The present invention relates to the fields of atmospheric environment and numerical analysis, and in particular to a method and device for predicting and evaluating the atmospheric environment of an aircraft throughout its entire orbit. Background Art

[0002] When an aircraft is flying in the air, it is affected by various atmospheric environmental factors, among which meteorological elements such as wind, density, and temperature in the air have a great impact on its flight accuracy. Since some aircraft fly long distances and high altitudes, the cumulative effect of various meteorological elements on the track, especially the high-altitude wind, will cause a large deviation in the aircraft trajectory. Therefore, accurate prediction of atmospheric parameters on the aircraft track is of great significance to improving the accuracy of the aircraft's flight trajectory. At the same time, during the flight of an aircraft, the flight area involved is wide, and the meteorological parameters are complex and varied. Effective evaluation of the atmospheric environment prediction parameters of the aircraft's entire flight track is of great significance to improving the atmospheric environment prediction method of the aircraft's entire track and improving the prediction accuracy. Therefore, how to accurately and effectively evaluate the atmospheric environment prediction parameters of the aircraft's entire flight track is a problem that needs to be solved urgently. Summary of the invention

[0003] The present invention mainly solves the problem of how to accurately and effectively evaluate the atmospheric environment prediction parameters of an aircraft's entire flight trajectory. The present invention discloses a method and device for predicting and evaluating the atmospheric environment of an aircraft's entire flight trajectory.

[0004] In a first aspect of the embodiment of the present application, a method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory is disclosed, comprising:

[0005] S1, obtaining a set of predicted values ​​of atmospheric environment parameters and a set of measured values ​​of atmospheric parameters of the spacecraft orbit; the set of predicted values ​​of atmospheric environment parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of predicted values ​​of atmospheric environment parameters; the set of measured values ​​of atmospheric parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of measured values ​​of atmospheric environment parameters;

[0006] S2, preprocessing the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set;

[0007] S3, performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction evaluation value; the prediction evaluation value is used to evaluate the prediction accuracy of the atmospheric environment parameter prediction value set.

[0008] The atmospheric environment parameter prediction value sequence includes a wind field prediction value sequence, an air pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence;

[0009] The atmospheric environment parameter measurement value sequence includes a wind field measurement value sequence, an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence.

[0010] The preprocessing of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set comprises:

[0011] S21, performing outlier elimination processing on the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a first atmospheric environment parameter prediction value set and a first atmospheric parameter measurement value set;

[0012] S22, normalizing the first atmospheric environment parameter prediction value set and the first atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set.

[0013] The step of performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction and evaluation value comprises:

[0014] S31, extracting the position coordinate information of all discrete points in the preprocessing atmospheric environment parameter prediction value set and the preprocessing atmospheric parameter measurement value set, performing position difference evaluation processing on the position coordinate information of all discrete points to obtain a position difference evaluation value;

[0015] S32, performing wind field prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a wind field prediction and evaluation value;

[0016] S33, performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value;

[0017] S34, using a preset weight vector, performing weighted sum processing on the position difference evaluation value, the wind field prediction evaluation value, and the environment prediction evaluation value to obtain a prediction evaluation value.

[0018] The performing position difference evaluation processing on the position coordinate information of all discrete points to obtain the position difference evaluation value includes:

[0019] S311, obtaining the position coordinate information of all discrete points of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set;

[0020] S312, for each discrete point of the atmospheric environment parameter prediction value set, determining the discrete point corresponding to it in the atmospheric parameter measurement value set, calculating the fusion deviation value of the two discrete points, and obtaining the fusion deviation value of the discrete point of the atmospheric environment parameter prediction value set;

[0021] The calculation expression of the fusion deviation value is:

[0022] β=|x0-x1| / |x0+x1|+|1-y0 / y1|+|exp(z0 / z1)-χ| / |z0+z1|,

[0023] c1=arctan(|x0-x1| / |y0-y1|)

[0024] c2=arctan(x0-x1| / |z0-z1|)

[0025]

[0026] Wherein, χ is a preset calculation parameter, β is the position deviation value of the discrete point, (x0, y0, z0) is the position coordinate information of the discrete point of the atmospheric environment parameter prediction value set, (x1, y1, z1) is the position coordinate information of the discrete point corresponding to the discrete point of the position coordinate information (x0, y0, z0) in the atmospheric parameter measurement value set; c1 and c2 are the angle deviation values ​​of the discrete point; ε is the fusion deviation value of the discrete point;

[0027] S313, averaging the fused deviation values ​​of all discrete points of the atmospheric environment parameter prediction value set to obtain a position difference evaluation value.

[0028] The performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value comprises:

[0029] S331, obtaining a pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence in the atmospheric environment parameter prediction value sequence, and constructing an environment matrix to be evaluated using the pressure prediction value sequence, the temperature prediction value sequence, and the air density prediction value sequence;

[0030] S332, obtaining an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence in the atmospheric environment parameter measurement value sequence, and constructing a standard environment matrix using the air pressure measurement value sequence, the temperature measurement value sequence, and the air density measurement value sequence;

[0031] S333, performing difference calculation processing on the environment matrix to be evaluated and the standard environment matrix to obtain an environmental prediction evaluation value.

[0032] The difference value calculation process includes:

[0033] Subtracting the environment matrix to be evaluated from the standard environment matrix to obtain a difference matrix;

[0034] Performing a first standard calculation process on the difference matrix to obtain a first characteristic matrix;

[0035] The expression of the first standard calculation process is:

[0036]

[0037] Where m represents the row dimension of the difference matrix, x ij represents the element of the i-th row and j-th column of the difference matrix, z ij represents the element of the i-th row and j-th column of the first feature matrix;

[0038] Performing a second extraction process on the first feature matrix to obtain an optimal solution vector;

[0039] The second extraction process is to extract the largest number in each column to form the optimal solution vector z + ; The expression of the optimal solution vector is:

[0040]

[0041] Where n represents the column dimension of the difference matrix;

[0042] Performing a first extraction process on the first feature matrix to obtain a worst solution vector;

[0043] The first extraction process is to extract the smallest number in each column to form the worst solution vector z - ; The expression of the worst solution vector is:

[0044]

[0045] The worst solution vector and the best solution vector are evaluated and calculated to obtain an environmental prediction evaluation value; the expression of the evaluation calculation process is:

[0046]

[0047] In the formula, ω j is the preset j-th importance weight; ω j It is obtained by presetting or by calculating the variance value of each column of the first feature matrix.

[0048] In a second aspect of the embodiment of the present application, a device for predicting and evaluating the atmospheric environment of an aircraft in a full orbit is disclosed, the device comprising:

[0049] A memory storing executable program code;

[0050] a processor coupled to the memory;

[0051] The processor calls the executable program code stored in the memory to execute the atmospheric environment prediction and assessment method for the entire orbit of the aircraft.

[0052] In a third aspect of an embodiment of the present application, a computer-storable medium is disclosed, wherein the computer-storable medium stores computer instructions. When the computer instructions are called by a computer, they are used to execute the method for predicting and evaluating the atmospheric environment of the entire orbit of the aircraft.

[0053] In a fourth aspect of the embodiments of the present application, an information data processing terminal is disclosed, which is used to implement the atmospheric environment prediction and assessment method for the entire orbit of the aircraft.

[0054] The beneficial effects of the present invention are:

[0055] The present invention realizes the effective evaluation of the atmospheric environment prediction parameters of the entire flight trajectory of an aircraft, which is of great significance for improving the atmospheric environment prediction method of the entire flight trajectory of an aircraft and enhancing the prediction accuracy.

[0056] In the process of predictive evaluation, the present invention proposes different evaluation models for three types of data respectively, and finally integrates the evaluation results to improve the accuracy of the evaluation results.

[0057] The present invention aims at the air pressure measurement value, the temperature measurement value and the air density measurement value, constructs a matrix jointly, and extracts features from the difference matrix, effectively extracts the subtle difference features of various data, and realizes an effective evaluation of the prediction effect of the three parameters of air pressure, temperature and air based on the subtle difference features. The present invention effectively evaluates the position error of the predicted value from two aspects: angle and position.

[0058] The present invention starts from the data characteristics of the wind field, introduces image data to characterize the wind field difference value, and realizes effective evaluation of the prediction accuracy of the wind field data through the value range distribution of pixel values. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flow chart for implementing the method of the present invention. DETAILED DESCRIPTION

[0060] In order to better understand the content of the present invention, an embodiment is given here.

[0061] Figure 1 It is a flow chart for implementing the method of the present invention.

[0062] In a first aspect of the embodiment of the present application, a method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory is disclosed, comprising:

[0063] S1, obtaining a set of predicted values ​​of atmospheric environment parameters and a set of measured values ​​of atmospheric parameters of the spacecraft orbit; the set of predicted values ​​of atmospheric environment parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of predicted values ​​of atmospheric environment parameters; the set of measured values ​​of atmospheric parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of measured values ​​of atmospheric environment parameters;

[0064] The discrete points in the atmospheric parameter measurement value set and the atmospheric environment parameter prediction value set are in one-to-one correspondence, that is, each atmospheric environment parameter prediction value sequence has a corresponding atmospheric environment parameter measurement value sequence of the same location in the atmospheric environment parameter prediction value set. Specifically, a one-to-one correspondence can be established between the atmospheric parameter measurement value set and the sequences in the atmospheric environment parameter prediction value set according to the sequence numbers in the set.

[0065] S2, preprocessing the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set;

[0066] S3, performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction evaluation value; the prediction evaluation value is used to evaluate the prediction accuracy of the atmospheric environment parameter prediction value set.

[0067] The atmospheric environment parameter prediction value sequence includes a wind field prediction value sequence, an air pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence;

[0068] The atmospheric environment parameter measurement value sequence includes a wind field measurement value sequence, an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence;

[0069] The preprocessing of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set comprises:

[0070] S21, performing outlier elimination processing on the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a first atmospheric environment parameter prediction value set and a first atmospheric parameter measurement value set;

[0071] S22, normalizing the first atmospheric environment parameter prediction value set and the first atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set;

[0072] The step of performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction and evaluation value comprises:

[0073] S31, extracting the position coordinate information of all discrete points in the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set, performing position difference evaluation processing on the position information of all discrete points to obtain a position difference evaluation value;

[0074] S32, performing wind field prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a wind field prediction and evaluation value;

[0075] S33, performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value;

[0076] S34, using a preset weight vector, performing weighted sum processing on the position difference evaluation value, the wind field prediction evaluation value, and the environment prediction evaluation value to obtain a prediction evaluation value.

[0077] The atmospheric environment parameter prediction value set includes the position coordinate information of a plurality of discrete points on the aircraft orbit and the corresponding atmospheric environment parameter prediction value sequence; the atmospheric parameter measurement value set includes the position coordinate information of a plurality of discrete points on the aircraft orbit and the corresponding atmospheric environment parameter measurement value sequence;

[0078] The position difference evaluation process is performed on the position information of all discrete points to obtain the position difference evaluation value, including:

[0079] S311, obtaining the position coordinate information of all discrete points of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set;

[0080] S312, for each discrete point of the atmospheric environment parameter prediction value set, determining the discrete point corresponding to it in the atmospheric parameter measurement value set, calculating the fusion deviation value of the two discrete points, and obtaining the fusion deviation value of the discrete point of the atmospheric environment parameter prediction value set;

[0081] The calculation expression of the fusion deviation value is:

[0082] β=|x0-x1| / |x0+x1|+|1-y0 / y1|+|exp(z0 / z1)-χ| / |z0+z1|,

[0083] c1=arctan(|x0-x1| / |y0-y1|)

[0084] c2=arctan(|x0-x1| / |z0-z1|)

[0085]

[0086] Among them, χ is a preset calculation parameter, β is the position deviation value of the discrete point, (x0, y0, z0) is the position coordinate information of the discrete point of the atmospheric environment parameter prediction value set, (x1, y1, z1) is the position coordinate information of the discrete point of the atmospheric parameter measurement value set; c1 and c2 are the angle deviation values ​​of the discrete points; ε is the fusion deviation value of the discrete points.

[0087] S313, averaging the fused deviation values ​​of all discrete points of the atmospheric environment parameter prediction value set to obtain a position difference evaluation value.

[0088] The performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value comprises:

[0089] S331, obtaining a pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence in the atmospheric environment parameter prediction value sequence, and constructing an environment matrix to be evaluated using the pressure prediction value sequence, the temperature prediction value sequence, and the air density prediction value sequence;

[0090] S332, obtaining an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence in the atmospheric environment parameter measurement value sequence, and constructing a standard environment matrix using the air pressure measurement value sequence, the temperature measurement value sequence, and the air density measurement value sequence;

[0091] S333, performing difference calculation processing on the environment matrix to be evaluated and the standard environment matrix to obtain an environmental prediction evaluation value.

[0092] The difference value calculation process includes:

[0093] Subtracting the environment matrix to be evaluated from the standard environment matrix to obtain a difference matrix;

[0094] Performing a first standard calculation process on the difference matrix to obtain a first characteristic matrix;

[0095] The expression of the first standard calculation process is:

[0096]

[0097] Where m represents the row dimension of the difference matrix, x ij represents the element of the i-th row and j-th column of the difference matrix, z ij represents the element of the i-th row and j-th column of the first feature matrix;

[0098] Performing a second extraction process on the first feature matrix to obtain an optimal solution vector;

[0099] The second extraction process is to extract the largest number in each column to form the optimal solution vector z + ; The expression of the optimal solution vector is:

[0100]

[0101] Where n represents the column dimension of the difference matrix;

[0102] Performing a first extraction process on the first feature matrix to obtain a worst solution vector;

[0103] The first extraction process is to extract the smallest number in each column to form the worst solution vector z - ; The expression of the worst solution vector is:

[0104]

[0105] The worst solution vector and the best solution vector are evaluated and calculated to obtain an environmental prediction evaluation value; the expression of the evaluation calculation process is:

[0106]

[0107] In the formula, ω j is the preset j-th importance weight; ω j It is obtained by presetting or by calculating the variance value of each column of the first feature matrix.

[0108] The step of performing wind field prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a wind field prediction and evaluation value comprises:

[0109] S321, obtaining a wind field prediction value sequence in the atmospheric environment parameter prediction value sequence and a wind field measurement value sequence in the atmospheric environment parameter measurement value sequence;

[0110] S322, performing a difference absolute value process on the wind field prediction value sequence and the wind field measurement value sequence to obtain a wind field difference sequence;

[0111] S323, obtaining position coordinate information of a discrete point corresponding to each element of the wind field difference sequence;

[0112] S324, using the position coordinate information of the discrete point of each element as the image coordinate, and using the value of the element as the grayscale value of the pixel point corresponding to the image coordinate, to construct wind field image information; the wind field image information includes the grayscale value of the pixel point and the image coordinate of the pixel point;

[0113] S325, evenly dividing the wind field image information into a plurality of sub-images;

[0114] S326, performing evaluation processing on all sub-images to obtain wind field prediction evaluation values.

[0115] The preset grayscale value range may be [1, 10], [11, 22], [23, 40], [41, 50], [50, 255].

[0116] The expression of the evaluation process is:

[0117]

[0118] Among them, c iv is the number of pixels in the i-th sub-image whose grayscale values ​​belong to the preset v-th grayscale value range, p iv is the probability of occurrence of the vth grayscale value range in the ith sub-image, V is the total number of preset grayscale value ranges, W and H are the length and width of the sub-image respectively, and h i is the intermediate metric value of the ith sub-image, L is the number of sub-images, and u is the wind field prediction evaluation value.

[0119] Specifically, W and H can be represented by the number of pixels of the sub-image in the length direction and the width direction, respectively.

[0120] The position coordinate information of the discrete point corresponding to each element of the wind field difference sequence is the position coordinate information of the discrete point corresponding to the wind field prediction value corresponding to the element.

[0121] The preset weight vector may be (0.2, 0.3, 0.5).

[0122] The outlier elimination process is to determine whether each data is within a preset threshold, and delete the data that is not within the preset threshold from the atmospheric environment parameter prediction value set or the atmospheric parameter measurement value set.

[0123] The normalization process is to obtain the maximum value of each numerical sequence of each type of parameter, including the predicted value sequence and the measured value sequence, and divide the value in the numerical sequence by the maximum value to obtain a normalized numerical sequence.

[0124] The use of the position coordinate information of the discrete point of each element as the image coordinate means that the plane coordinates (x, y) in the position coordinates are used as the image coordinates.

[0125] In a second aspect of the embodiment of the present application, a device for predicting and evaluating the atmospheric environment of an aircraft in a full orbit is disclosed, the device comprising:

[0126] A memory storing executable program code;

[0127] a processor coupled to the memory;

[0128] The processor calls the executable program code stored in the memory to execute the atmospheric environment prediction and assessment method for the entire orbit of the aircraft.

[0129] In a third aspect of an embodiment of the present application, a computer-storable medium is disclosed, wherein the computer-storable medium stores computer instructions. When the computer instructions are called by a computer, they are used to execute the method for predicting and evaluating the atmospheric environment of the entire orbit of the aircraft.

[0130] In a fourth aspect of the embodiments of the present application, an information data processing terminal is disclosed, which is used to implement the atmospheric environment prediction and assessment method for the entire orbit of the aircraft.

[0131] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory, characterized in that: include: S1, obtaining a set of predicted values ​​of atmospheric environment parameters and a set of measured values ​​of atmospheric parameters of the spacecraft orbit; the set of predicted values ​​of atmospheric environment parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of predicted values ​​of atmospheric environment parameters; the set of measured values ​​of atmospheric parameters includes position coordinate information of a number of discrete points on the spacecraft orbit and a corresponding sequence of measured values ​​of atmospheric environment parameters; S2, preprocessing the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set; S3, performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction evaluation value; the prediction evaluation value is used to evaluate the prediction accuracy of the atmospheric environment parameter prediction value set.

2. The method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory as claimed in claim 1, wherein: The atmospheric environment parameter prediction value sequence includes a wind field prediction value sequence, an air pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence; The atmospheric environment parameter measurement value sequence includes a wind field measurement value sequence, an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence.

3. The method for predicting and evaluating the atmospheric environment of an aircraft in a full orbit as claimed in claim 2, characterized in that: The preprocessing of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set comprises: S21, performing outlier elimination processing on the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set respectively to obtain a first atmospheric environment parameter prediction value set and a first atmospheric parameter measurement value set; S22, normalizing the first atmospheric environment parameter prediction value set and the first atmospheric parameter measurement value set respectively to obtain a preprocessed atmospheric environment parameter prediction value set and a preprocessed atmospheric parameter measurement value set.

4. The method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory as claimed in claim 3, wherein: The step of performing prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a prediction and evaluation value comprises: S31, extracting the position coordinate information of all discrete points in the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set, performing position difference evaluation processing on the position coordinate information of all discrete points to obtain a position difference evaluation value; S32, performing wind field prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain a wind field prediction and evaluation value; S33, performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value; S34, using a preset weight vector, performing weighted sum processing on the position difference evaluation value, the wind field prediction evaluation value, and the environment prediction evaluation value to obtain a prediction evaluation value.

5. The method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory as claimed in claim 4, wherein: The performing position difference evaluation processing on the position coordinate information of all discrete points to obtain the position difference evaluation value includes: S311, obtaining the position coordinate information of all discrete points of the atmospheric environment parameter prediction value set and the atmospheric parameter measurement value set; S312, for each discrete point of the atmospheric environment parameter prediction value set, determining the discrete point corresponding to it in the atmospheric parameter measurement value set, calculating the fusion deviation value of the two discrete points, and obtaining the fusion deviation value of the discrete point of the atmospheric environment parameter prediction value set; The calculation expression of the fusion deviation value is: β=|x0-x1| / |x0+x1|+|1-y0 / y1|+|exp(z0 / z1)-χ| / |z0+z1|, c1=arctan(|x0-x1| / |y0-y1|) c2=arctan(|x0-x1| / |z0-z1|), Wherein, χ is a preset calculation parameter, β is a position deviation value of a discrete point, (x0, y0, z0) is the position coordinate information of a discrete point of the atmospheric environment parameter prediction value set, (x1, y1, z1) is the position coordinate information of a discrete point corresponding to the discrete point of the position coordinate information (x0, y0, z0) in the atmospheric parameter measurement value set; c1 and c2 are the angle deviation values ​​of the discrete points; ε is the fusion deviation value of discrete points; S313, averaging the fused deviation values ​​of all discrete points of the atmospheric environment parameter prediction value set to obtain a position difference evaluation value.

6. The method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory as claimed in claim 4, wherein: The performing environmental prediction and evaluation processing on the preprocessed atmospheric environment parameter prediction value set and the preprocessed atmospheric parameter measurement value set to obtain an environmental prediction and evaluation value comprises: S331, obtaining a pressure prediction value sequence, a temperature prediction value sequence, and an air density prediction value sequence in the atmospheric environment parameter prediction value sequence, and constructing an environment matrix to be evaluated using the pressure prediction value sequence, the temperature prediction value sequence, and the air density prediction value sequence; S332, obtaining an air pressure measurement value sequence, a temperature measurement value sequence, and an air density measurement value sequence in the atmospheric environment parameter measurement value sequence, and constructing a standard environment matrix using the air pressure measurement value sequence, the temperature measurement value sequence, and the air density measurement value sequence; S333, performing difference calculation processing on the environment matrix to be evaluated and the standard environment matrix to obtain an environmental prediction evaluation value.

7. The method for predicting and evaluating the atmospheric environment of an aircraft throughout its entire trajectory as claimed in claim 6, wherein: The difference value calculation process includes: Subtracting the environment matrix to be evaluated from the standard environment matrix to obtain a difference matrix; Performing a first standard calculation process on the difference matrix to obtain a first characteristic matrix; The expression of the first standard calculation process is: Where m represents the row dimension of the difference matrix, x ij represents the element of the i-th row and j-th column of the difference matrix, z ij represents the element of the i-th row and j-th column of the first feature matrix; Performing a second extraction process on the first feature matrix to obtain an optimal solution vector; The second extraction process is to extract the largest number in each column to form the optimal solution vector z + ; The expression of the optimal solution vector is: Where n represents the column dimension of the difference matrix; Performing a first extraction process on the first feature matrix to obtain a worst solution vector; The first extraction process is to extract the smallest number in each column to form the worst solution vector z - ; The expression of the worst solution vector is: The worst solution vector and the best solution vector are evaluated and calculated to obtain an environmental prediction evaluation value; the expression of the evaluation calculation process is: In the formula, ω j is the preset j-th importance weight; ω j It is obtained by presetting or by calculating the variance value of each column of the first feature matrix.

8. An atmospheric environment prediction and assessment device for the entire trajectory of an aircraft, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the atmospheric environment prediction and assessment method for the entire trajectory of an aircraft as described in any one of claims 1 to 7.

9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, which, when called by a computer, are used to execute the method for predicting and evaluating the atmospheric environment of the entire trajectory of an aircraft as described in any one of claims 1 to 7.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the atmospheric environment prediction and assessment method for the entire trajectory of an aircraft as described in any one of claims 1 to 7.

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