FADS system atmospheric parameter algorithm simulation evaluation method, evaluation system and storage medium

Abstract

The invention provides an FADS system atmospheric parameter algorithm simulation evaluation method, an evaluation system and a storage medium, and the method comprises the steps: judging the correctness of pressure measurement data of each pressure measurement point through a status word, carrying out the fault setting of a fault pressure measurement point and the elimination of corresponding pressure measurement data, obtaining new pressure measurement data through the configuration of a status matrix, and carrying out the simulation evaluation of the atmospheric parameter algorithm of the FADS system. By selectively adding error terms and selectively adopting a filter to process data, atmospheric parameter resolving values under different conditions can be obtained, and by comparing errors between the resolving values and theoretical values, parameters of an algorithm model are adjusted to obtain atmospheric parameter resolving values with the errors meeting requirements. And finally, evaluating the algorithm model according to the resolving value. According to the technical scheme, the technical problems that in the prior art, the influence of algorithm error introduction and fault pressure measuring point isolation on the atmospheric parameter calculation precision of the system cannot be evaluated are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of flight atmospheric parameter measurement and flight control, and in particular to a FADS system atmospheric parameter algorithm simulation evaluation method, an evaluation system and a storage medium. Background Art

[0002] The FADS system uses a pressure sensor array embedded in the surface of the aircraft to sense the pressure on the aircraft surface, and uses a specific algorithm to calculate atmospheric parameters such as static pressure, total pressure, Mach number, angle of attack, sideslip angle, and pressure altitude during flight. Compared with the atmospheric data measurement method performed by the traditional pitot tube, the FADS system has the advantages of being applicable to a wide range of Mach numbers and angles of attack. The algorithm accuracy of the FADS system directly affects the flight control quality, but there is currently no effective means of evaluating the algorithm accuracy. Summary of the invention

[0003] The present invention provides a FADS system atmospheric parameter algorithm simulation evaluation method, evaluation system and storage medium, which can solve the technical problems in the prior art that the introduction of algorithm errors and the influence of fault pressure measuring point isolation on the system atmospheric parameter solution accuracy cannot be evaluated.

[0004] According to one aspect of the present invention, a method for simulating and evaluating an atmospheric parameter algorithm of a FADS system is provided, the method comprising:

[0005] S1, read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, and judge the correctness of the pressure measurement data of each pressure measuring point through the status word. If there is incorrect pressure measurement data, go to S2, if all are correct, go to S3;

[0006] S2, determining that the pressure measuring point corresponding to the incorrect pressure measurement data is a faulty pressure measuring point, loading a fault model of the faulty pressure measuring point, and removing the pressure measurement data of the faulty pressure measuring point;

[0007] S3, sorting the correct pressure measurement data according to the pressure measurement point numbers, and configuring a state matrix for the sorted pressure measurement data to obtain pressure measurement data after troubleshooting;

[0008] S4, loading the FADS system atmospheric parameter algorithm model, and importing various parameters in the FADS system atmospheric parameter algorithm model;

[0009] S5, determine whether to add the error term, if yes, go to S6, if no, go to S7;

[0010] S6, adding an error term to the pressure measurement data after troubleshooting to obtain pressure measurement data containing the error term;

[0011] S7, determine whether to use the filter, if yes, go to S8, if not, go to S9;

[0012] S8, using a filter to filter the pressure measurement data obtained in S3 after troubleshooting or the pressure measurement data including the error term obtained in S6 to obtain filtered pressure measurement data;

[0013] S9, based on the algorithm model loaded in S4 and the imported parameters, the pressure measurement data obtained in S3 after troubleshooting, the pressure measurement data with error terms obtained in S6, or the pressure measurement data obtained in S8 after filtering is solved to obtain the solution value of the atmospheric parameter;

[0014] S10, calculating the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and judging whether the calculated error meets the design requirements. If not, adjusting the parameters in the algorithm model and then going to S5; if yes, going to S11;

[0015] S11, end the simulation and evaluate the algorithm model according to the solution results.

[0016] Furthermore, the atmospheric parameter algorithm models of the FADS system include: a stagnation point-free FADS algorithm, a three-point FADS algorithm, a neural network algorithm, and a neural network algorithm based on an aerodynamic model.

[0017] Furthermore, the error terms include the pressure sensor noise value, the pressure measurement mean error and the pressure tap position error.

[0018] Further, the atmospheric parameters include static pressure, total pressure, Mach number, angle of attack, sideslip angle and pressure altitude.

[0019] Furthermore, the method further includes: after S2 and before S3, selecting all or part of the pressure measuring points from the non-faulty pressure measuring points, and using the pressure measurement data corresponding to the selected pressure measuring points as the pressure measurement data sorted in S3.

[0020] According to another aspect of the present invention, there is provided a FADS system atmospheric parameter algorithm simulation evaluation system, the evaluation system comprising a fault judgment and processing module, an algorithm module, an error module, a filtering module, an error calculation module and an evaluation module;

[0021] The fault judgment and processing module is used to read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, judge the correctness of the pressure measurement data of each pressure measuring point through the status word, regard the pressure measuring point corresponding to the incorrect pressure measurement data as the faulty pressure measuring point, load the fault model of the faulty pressure measuring point, and eliminate the pressure measurement data of the faulty pressure measuring point, sort the correct pressure measurement data according to the pressure measuring point number, and configure the status matrix for the sorted pressure measurement data to obtain the pressure measurement data after the fault is eliminated;

[0022] The algorithm module is used to load the FADS system atmospheric parameter algorithm model and import various parameters in the FADS system atmospheric parameter algorithm model;

[0023] The error module is used to determine whether to add an error term, and when it is determined to add the error term, the error term is added to the pressure measurement data after the fault is eliminated to obtain the pressure measurement data containing the error term;

[0024] The filtering module is used to determine whether to use a filter, and when it is determined to use a filter, the filter is used to filter the pressure measurement data after troubleshooting or the pressure measurement data containing an error term to obtain the pressure measurement data after filtering;

[0025] The algorithm module is also used to calculate the solution value of the atmospheric parameter based on the loaded algorithm model and the imported parameters by using the pressure measurement data after troubleshooting, the pressure measurement data containing the error term or the pressure measurement data after filtering processing;

[0026] The error calculation module is used to calculate the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and to determine whether the calculated error meets the design requirements;

[0027] The algorithm module is also used to adjust the parameters in the algorithm model when the solution error does not meet the design requirements;

[0028] The evaluation module is used to output the evaluation result when the solution error meets the design requirements.

[0029] According to another aspect of the present invention, a computer-readable storage medium storing a computer program is provided. When the computer program is executed by a processor, the steps of the method proposed above in the present invention are implemented.

[0030] By applying the technical solution of the present invention, a simulation evaluation method, evaluation system and storage medium of the atmospheric parameter algorithm of the FADS system are provided. The method uses the state word to judge the correctness of the pressure measurement data of each pressure measuring point, sets the fault position of the faulty pressure measuring point and eliminates the corresponding pressure measurement data, obtains new pressure measurement data by configuring the state matrix, and obtains the atmospheric parameter solution value under different conditions by selectively adding error terms and selectively using filters to process data. By comparing the error between the solution value and the theoretical value, the parameters of the algorithm model are adjusted to obtain the atmospheric parameter solution value whose error meets the requirements, and finally the algorithm model is evaluated according to the solution value. The method supports the study of the influence of the number of pressure measuring points on the measurement accuracy, and then supports the research on the optimization of the FADS algorithm; it can meet the fault tolerance detection of each error term and fault type of the FADS system algorithm, which is an important link in the verification of the FADS algorithm; it can use a pressure sequence in a continuous time for solution, recalculate the measurement data in the actual application process, and verify the reliability of the FADS algorithm. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The included drawings are used to provide a further understanding of the embodiments of the present invention, which constitute a part of the specification, are used to illustrate the embodiments of the present invention, and together with the text description, explain the principles of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0032] Figure 1 A schematic flow chart of a FADS system atmospheric parameter algorithm simulation evaluation method provided according to a specific embodiment of the present invention is shown. DETAILED DESCRIPTION

[0033] It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0035] Unless otherwise specifically stated, the relative arrangement of the parts and steps described in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the present invention. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, method and equipment known to ordinary technicians in the relevant field may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be regarded as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0036] like Figure 1 As shown, according to a specific embodiment of the present invention, a FADS system atmospheric parameter algorithm simulation evaluation method is provided, the method comprising:

[0037] S1, read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, and judge the correctness of the pressure measurement data of each pressure measuring point through the status word. If there is incorrect pressure measurement data, go to S2, if all are correct, go to S3;

[0038] S2, determining that the pressure measuring point corresponding to the incorrect pressure measurement data is a faulty pressure measuring point, loading the fault model of the faulty pressure measuring point, and discarding the pressure measurement data of the faulty pressure measuring point, that is, discarding the corresponding pressure measurement data after setting the faulty pressure measuring point;

[0039] S3, sorting the correct pressure measurement data according to the pressure measurement point numbers, and configuring a state matrix for the sorted pressure measurement data to obtain pressure measurement data after troubleshooting;

[0040] S4, loading the FADS system atmospheric parameter algorithm model, including the no-stagnation point FADS algorithm, the three-point method FADS algorithm, the neural network algorithm and the neural network algorithm based on the aerodynamic model, and importing various parameters in the FADS system atmospheric parameter algorithm model, that is, various variable values ​​in the algorithm model;

[0041] S5, determine whether to add the error term, if yes, go to S6, if no, go to S7;

[0042] S6, adding an error term to the pressure measurement data after troubleshooting to obtain pressure measurement data containing the error term;

[0043] S7, determine whether to use the filter, if yes, go to S8, if not, go to S9;

[0044] S8, using a filter to filter the pressure measurement data obtained in S3 after troubleshooting or the pressure measurement data including the error term obtained in S6 to obtain filtered pressure measurement data;

[0045] S9, based on the algorithm model loaded in S4 and the imported parameters, the pressure measurement data obtained in S3 after troubleshooting, the pressure measurement data with error terms obtained in S6, or the pressure measurement data obtained in S8 after filtering is solved to obtain the solution value of the atmospheric parameter;

[0046] S10, calculating the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and judging whether the calculated error meets the design requirements. If not, adjusting the parameters in the algorithm model and then going to S5; if yes, going to S11;

[0047] S11, end the simulation and evaluate the algorithm model according to the solution results.

[0048] By using this configuration mode, a simulation evaluation method for the atmospheric parameter algorithm of the FADS system is provided. The method uses the state word to judge the correctness of the pressure measurement data of each pressure measuring point, sets the fault position of the faulty pressure measuring point and eliminates the corresponding pressure measurement data, obtains new pressure measurement data by configuring the state matrix, and obtains the atmospheric parameter solution value under different conditions by selectively adding error terms and selectively using filters to process data. By comparing the error between the solution value and the theoretical value, the parameters of the algorithm model are adjusted to obtain the atmospheric parameter solution value with the error meeting the requirements, and finally the algorithm model is evaluated according to this solution value. The method supports the study of the influence of the number of pressure measuring points on the measurement accuracy, and then supports the optimization research of the FADS algorithm; it can meet the fault tolerance detection of each error term and fault type of the FADS system algorithm, which is an important link in the verification of the FADS algorithm; it can use a pressure sequence in a continuous time for solution, recalculate the measurement data in the actual application process, and verify the reliability of the FADS algorithm. Compared with the prior art, the technical solution of the present invention can solve the technical problem that the prior art cannot evaluate the influence of the introduction of algorithm errors and the isolation of faulty pressure measuring points on the accuracy of the atmospheric parameter solution of the system.

[0049] The present invention takes the classic nine-point FADS system as an example, arranges the pressure points without faults according to the pressure measuring point numbers, and matches the state matrix to obtain new pressure data, that is, the pressure measurement data without the faulty pressure measuring points. The expression is as follows:

[0050]

[0051] In the above formula, [P] represents the pressure measurement data after excluding the faulty pressure measuring point, P1, P2, P3, ..., P9 represent the original pressure measurement data of each pressure measuring point, S1, S2, S3, ..., S9 represent the working status of each pressure measuring point, "1" for normal and "0" for abnormal.

[0052] Furthermore, in an embodiment of the present invention, the method further includes: after S2 and before S3, selecting all or part of the pressure measuring points from the non-faulty pressure measuring points, and using the pressure measurement data corresponding to the selected pressure measuring points as the pressure measurement data sorted in S3. That is, based on the judgment of the correctness of the pressure at the pressure measuring point, the number of pressure points used is adjusted to find the optimal solution.

[0053] Furthermore, in an embodiment of the present invention, whether to add an error term and whether to use a filter for data processing is determined according to specific circumstances, and the error term includes the noise value of one or more pressure sensors, the mean error of pressure measurement of one or more pressure channels, and the position error of the pressure measuring hole, wherein the noise value is a normally distributed noise, and its standard deviation can be set externally, and the setting rules are design indicators such as structural processing errors and pressure measurement accuracy indicators. The filter includes an average filter model and a low-pass filter model, and the filter parameters can be manually set or imported into the already set IIR filter parameters. The filter is set in the present invention mainly to solve the verification requirements of the influence of the filter parameter setting on the system algorithm. When the filter parameter setting is unreasonable, the pressure change is too slow, which will affect the dynamics of the final atmospheric parameter solution. Therefore, the principle of adjusting the filter parameters is to meet the dynamic requirements of the atmospheric parameters and reduce the error of the external noise on the final measurement.

[0054] In addition, in the embodiment of the present invention, the atmospheric parameters obtained by calculation include static pressure, total pressure, Mach number, angle of attack, sideslip angle and pressure altitude during the flight of the aircraft. Import verification data (such as theoretical simulation data, real test data, etc.), read the pressure data of each pressure measuring point for a single time or a continuous period of time, calculate the atmospheric parameters according to the above steps and the set parameters, and adjust the parameters in the algorithm model until the error between the calculated results of the atmospheric parameters and the theoretical input data results meets the requirements. Save the calculated flight atmospheric parameters locally, and select the historical calculation results for data comparison, compare with the theoretical value to obtain the calculated error, and compare the algorithm's fault tolerance for each error term and fault type.

[0055] According to another aspect of the present invention, there is provided a FADS system atmospheric parameter algorithm simulation evaluation system, the evaluation system comprising a fault judgment and processing module, an algorithm module, an error module, a filtering module, an error calculation module and an evaluation module;

[0056] The fault judgment and processing module is used to read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, judge the correctness of the pressure measurement data of each pressure measuring point through the status word, regard the pressure measuring point corresponding to the incorrect pressure measurement data as the faulty pressure measuring point, load the fault model of the faulty pressure measuring point, and eliminate the pressure measurement data of the faulty pressure measuring point, sort the correct pressure measurement data according to the pressure measuring point number, and configure the status matrix for the sorted pressure measurement data to obtain the pressure measurement data after the fault is eliminated;

[0057] The algorithm module is used to load the FADS system atmospheric parameter algorithm model and import various parameters in the FADS system atmospheric parameter algorithm model;

[0058] The error module is used to determine whether to add an error term, and when it is determined to add the error term, the error term is added to the pressure measurement data after the fault is eliminated to obtain the pressure measurement data containing the error term;

[0059] The filtering module is used to determine whether to use a filter, and when it is determined to use a filter, the filter is used to filter the pressure measurement data after troubleshooting or the pressure measurement data containing an error term to obtain the pressure measurement data after filtering;

[0060] The algorithm module is also used to calculate the solution value of the atmospheric parameter based on the loaded algorithm model and the imported parameters by using the pressure measurement data after troubleshooting, the pressure measurement data containing the error term or the pressure measurement data after filtering processing;

[0061] The error calculation module is used to calculate the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and to determine whether the calculated error meets the design requirements;

[0062] The algorithm module is also used to adjust the parameters in the algorithm model when the solution error does not meet the design requirements;

[0063] The evaluation module is used to output the evaluation result when the solution error meets the design requirements.

[0064] According to another aspect of the present invention, a computer-readable storage medium storing a computer program is provided. When the computer program is executed by a processor, the steps of the method proposed above in the present invention are implemented.

[0065] In summary, the present invention provides a simulation evaluation method, evaluation system and storage medium for the atmospheric parameter algorithm of a FADS system. The method uses a state word to judge the correctness of the pressure measurement data of each pressure measuring point, sets the fault position of the faulty pressure measuring point and removes the corresponding pressure measurement data, obtains new pressure measurement data by configuring the state matrix, selectively adds error terms and selectively uses filters to process data, can obtain atmospheric parameter solution values ​​under different conditions, and adjusts the parameters of the algorithm model by comparing the error between the solution value and the theoretical value, obtains the atmospheric parameter solution value with the error meeting the requirements, and finally evaluates the algorithm model according to this solution value. The method supports the study of the influence of the number of pressure measuring points on the measurement accuracy, and then supports the optimization research of the FADS algorithm; can meet the fault tolerance detection of each error term and fault type of the FADS system algorithm, which is an important link in the verification of the FADS algorithm; can use a pressure sequence in a continuous time for solution, recalculate the measurement data in the actual application process, and verify the reliability of the FADS algorithm. Compared with the prior art, the technical solution of the present invention can solve the technical problem that the prior art cannot evaluate the influence of the introduction of algorithm errors and the isolation of faulty pressure measuring points on the accuracy of the atmospheric parameter solution of the system.

[0066] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0067] In addition, it should be noted that the use of terms such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above terms have no special meaning and therefore cannot be understood as limiting the scope of protection of the present invention.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A FADS system atmospheric parameter algorithm simulation evaluation method, characterized in that: The method comprises: S1, read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, and judge the correctness of the pressure measurement data of each pressure measuring point through the status word. If there is incorrect pressure measurement data, go to S2, if all are correct, go to S3; S2, determining that the pressure measuring point corresponding to the incorrect pressure measurement data is a faulty pressure measuring point, loading a fault model of the faulty pressure measuring point, and removing the pressure measurement data of the faulty pressure measuring point; S3, sorting the correct pressure measurement data according to the pressure measurement point numbers, and configuring a state matrix for the sorted pressure measurement data to obtain pressure measurement data after troubleshooting; S4, loading the FADS system atmospheric parameter algorithm model, and importing various parameters in the FADS system atmospheric parameter algorithm model; S5, determine whether to add the error term, if yes, go to S6, if no, go to S7; S6, adding an error term to the pressure measurement data after troubleshooting to obtain pressure measurement data containing the error term; S7, determine whether to use the filter, if yes, go to S8, if not, go to S9; S8, using a filter to filter the pressure measurement data obtained in S3 after troubleshooting or the pressure measurement data including the error term obtained in S6 to obtain filtered pressure measurement data; S9, based on the algorithm model loaded in S4 and the imported parameters, the pressure measurement data obtained in S3 after troubleshooting, the pressure measurement data with error terms obtained in S6, or the pressure measurement data obtained in S8 after filtering is solved to obtain the solution value of the atmospheric parameter; S10, calculating the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and judging whether the calculated error meets the design requirements. If not, adjusting the parameters in the algorithm model and then going to S5; if yes, going to S11; S11, ending the simulation and evaluating the algorithm model according to the solution results.

2. The method according to claim 1, characterized in that The FADS system atmospheric parameter algorithm models include: a non-stagnation point FADS algorithm, a three-point method FADS algorithm, a neural network algorithm, and a neural network algorithm based on an aerodynamic model.

3. The method according to claim 2, characterized in that The error terms include pressure sensor noise value, pressure measurement mean error and pressure tap position error.

4. The method according to claim 3, characterized in that The atmospheric parameters include static pressure, total pressure, Mach number, angle of attack, sideslip angle and pressure altitude.

5. The method according to claim 4, characterized in that The method further includes: after S2 and before S3, selecting all or part of the pressure measuring points from the non-faulty pressure measuring points, and using the pressure measurement data corresponding to the selected pressure measuring points as the pressure measurement data sorted in S3.

6. A FADS system atmospheric parameter algorithm simulation evaluation system, characterized in that: The evaluation system includes a fault judgment and processing module, an algorithm module, an error module, a filtering module, an error calculation module and an evaluation module; The fault judgment and processing module is used to read the pressure data of each pressure measuring point of the FADS system for a single time or a continuous period of time from the memory, judge the correctness of the pressure measurement data of each pressure measuring point through the status word, regard the pressure measuring point corresponding to the incorrect pressure measurement data as the faulty pressure measuring point, load the fault model of the faulty pressure measuring point, and eliminate the pressure measurement data of the faulty pressure measuring point, sort the correct pressure measurement data according to the pressure measuring point number, and configure the status matrix for the sorted pressure measurement data to obtain the pressure measurement data after the fault is eliminated; The algorithm module is used to load the FADS system atmospheric parameter algorithm model and import various parameters in the FADS system atmospheric parameter algorithm model; The error module is used to determine whether to add an error term, and when it is determined to add the error term, add the error term to the pressure measurement data after the fault is eliminated to obtain the pressure measurement data containing the error term; The filtering module is used to determine whether to use a filter, and when it is determined to use a filter, use the filter to filter the pressure measurement data after troubleshooting or the pressure measurement data containing an error term to obtain the pressure measurement data after filtering; The algorithm module is also used to calculate the solution value of the atmospheric parameter based on the loaded algorithm model and the imported parameters, using the pressure measurement data after troubleshooting, the pressure measurement data containing the error term, or the pressure measurement data after filtering; The error calculation module is used to calculate the difference between the calculated value of the atmospheric parameter and the theoretical value of the atmospheric parameter as the calculated error of the algorithm model, and to determine whether the calculated error meets the design requirements; The algorithm module is also used to adjust the parameters in the algorithm model when the solution error does not meet the design requirements; The evaluation module is used to output an evaluation result when the calculated error meets the design requirements.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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