Icing wind tunnel temperature field correction method, apparatus, and storage medium

Abstract

The application provides an icing wind tunnel temperature field correction method and device and a storage medium, relates to the technical field of wind tunnel test temperature measurement, and the method obtains evaporator detection temperatures detected by each evaporator temperature sensor and grille detection temperatures detected by each grille temperature sensor in a preset time period, obtains an evaporator temperature model according to the evaporator detection temperatures, obtains a grille temperature model according to the evaporator temperature model and a pre-trained temperature prediction model, and corrects each grille detection temperature according to the grille center temperature, the theoretical change gradient and the actual change gradient for any time detection point. Whether the grille detection temperature is abnormal can be determined through the theoretical change gradient and the actual change gradient, the grille detection temperature can be corrected when the grille detection temperature is abnormal, a relatively accurate temperature field at the grille is obtained, and the reliability of the icing wind tunnel experiment can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind tunnel test temperature measurement, and in particular to a method, device and storage medium for calibrating the temperature field of an icing wind tunnel. Background Art

[0002] As a core test platform for aircraft anti-icing and de-icing system validation, the uniformity and stability of the icing wind tunnel's temperature field are key indicators for ensuring the validity of test data. Developing a precise temperature field correction system tailored to the operating characteristics of the 3m×2m icing wind tunnel is crucial for establishing a correction model for airflow velocity in the test section, establishing a total temperature correction relationship, and optimizing temperature field uniformity.

[0003] Currently, there are two traditional temperature field correction methods: the first is to use the time-averaged temperature of the evaporator outlet or the center point of the grille as a static benchmark. Although this can reflect steady-state uniformity, it ignores the dynamic fluctuation characteristics of the temperature field within a fixed time period, resulting in the accumulation of transient heat conduction deviations and affecting the flow field accuracy of the test section; the second is that the temperature loss from the evaporator to the grille section has long relied on empirical coefficient estimation and lacks a data-driven compensation mechanism based on the physical field, making it difficult to adapt to the thermodynamic transfer process under variable operating conditions. Summary of the Invention

[0004] The present application provides a temperature field correction method, device and storage medium for an icing wind tunnel, which can identify whether a grille temperature sensor is abnormal and provide a relatively accurate grille temperature when the temperature sensor is abnormal, thereby providing core protection for high-confidence experiments in icing wind tunnels.

[0005] This application provides a method for correcting the temperature field of an icing wind tunnel, comprising:

[0006] Obtaining evaporator detection temperatures detected by each evaporator temperature sensor and grille detection temperatures detected by each grille temperature sensor within a preset time period, wherein the preset time period includes a plurality of time detection points, each time detection point corresponding to a group of evaporator detection temperatures and a group of grille detection temperatures;

[0007] According to the detected temperature of each evaporator, an evaporator temperature model is obtained; the evaporator temperature model is used to characterize the evaporator temperature at each position of the evaporator at each time;

[0008] Obtaining a grid temperature model based on the evaporator temperature model and a pre-trained temperature prediction model, wherein the grid temperature model is used to characterize the grid temperature at each position of the grid at each time;

[0009] For any time detection point: determine the center temperature of the grille based on the grille detection temperature and the grille temperature model; determine the theoretical change gradient of each grille temperature relative to the center temperature of the grille based on the grille temperature model; determine the actual change gradient of each grille detection temperature relative to the grille detection temperature at the center of the grille based on each grille detection temperature; correct each grille detection temperature based on the center temperature of the grille, the theoretical change gradient, and the actual change gradient.

[0010] In one embodiment of the present application, linear interpolation is performed based on the detected temperatures of each evaporator to obtain an evaporator detection temperature model, including:

[0011] For the evaporator detection temperature at any time detection point: perform linear interpolation based on the detection temperature of each evaporator to obtain an interpolated temperature set;

[0012] The evaporator detection temperature model is determined based on each interpolated temperature set.

[0013] In one embodiment of the present application, determining the center temperature of the grille according to the grille detection temperature and the grille temperature model includes:

[0014] determining a central detection temperature at the center of the grid according to the grid detection temperature;

[0015] determining a central theoretical temperature at the center of the grid according to the grid temperature model;

[0016] The center temperature of the grille is determined according to the center detected temperature and the center theoretical temperature.

[0017] In one embodiment of the present application, determining the center temperature of the grille according to the center detected temperature and the center theoretical temperature includes:

[0018] When the absolute value of the difference between the central detected temperature and the central theoretical temperature is within a first difference interval, determining the grille detected temperature at the center of the grille as the grille central temperature;

[0019] When the absolute value of the difference between the central detected temperature and the central theoretical temperature is within a second difference range, an average of the grille detected temperature at the center of the grille and the central theoretical temperature is determined as the grille central temperature.

[0020] In one embodiment of the present application, determining the central detected temperature at the center of the grille according to the grille detected temperature includes:

[0021] The average of all grid detected temperatures is determined as the central detected temperature.

[0022] In one embodiment of the present application, the grille detection temperature is corrected at each time detection point according to the grille center temperature, the theoretical change gradient, and the actual change gradient, including:

[0023] comparing the theoretical change gradient and the actual change gradient to obtain a comparison result;

[0024] The detected temperature of the grid at each detection point in time is corrected according to the center temperature of the grid, the comparison result, and the theoretical change gradient.

[0025] In one embodiment of the present application, the comparison result includes a first result and a second result. The comparison result obtained by comparing the theoretical change gradient with the actual change gradient includes:

[0026] When the theoretical change gradient and the actual change gradient have the same sign, and the absolute value of the trend difference is less than a preset difference, obtaining a first result;

[0027] When the signs of the theoretical change gradient and the actual change gradient are consistent, and the absolute value of the trend difference is greater than or equal to the preset difference, or when the signs of the theoretical change gradient and the actual change gradient are inconsistent, a second result is obtained.

[0028] In one embodiment of the present application, the grid detection temperature at each time detection point is corrected according to the grid center temperature, the comparison result, and the theoretical change gradient, including:

[0029] When the comparison result is the second result, the temperature gradient is determined according to each grid detection position and the theoretical change gradient; the grid detection position is the position where the grid detects the temperature;

[0030] The correction temperature of each grid detection position is determined according to the grid center position and the temperature gradient.

[0031] To achieve the above-mentioned and other related objectives, the present application provides an icing wind tunnel temperature field correction device, comprising:

[0032] a data acquisition module, configured to acquire the evaporator detection temperature detected by each evaporator temperature sensor and the grille detection temperature detected by each grille temperature sensor within a preset time period, wherein the preset time period includes a plurality of time detection points, each time detection point corresponding to a group of evaporator detection temperatures and a group of grille detection temperatures;

[0033] A first model determination module is used to obtain an evaporator temperature model based on the detected temperature of each evaporator; the evaporator temperature model is used to characterize the evaporator temperature at each position of the evaporator at each time;

[0034] A second model determination module is used to obtain a grille temperature model based on the evaporator temperature model and a pre-trained temperature prediction model, wherein the grille temperature model is used to characterize the grille temperature at each position of the grille at each time;

[0035] The temperature correction module is used to: determine the center temperature of the grille based on the grille detection temperature and the grille temperature model at any time detection point; determine the theoretical change gradient of each grille temperature relative to the center temperature of the grille based on the grille temperature model; determine the actual change gradient of each grille detection temperature relative to the grille detection temperature at the center of the grille based on each grille detection temperature; and correct each grille detection temperature based on the center temperature of the grille, the theoretical change gradient, and the actual change gradient.

[0036] To achieve the above-mentioned objectives and other related objectives, the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a computer processor, the computer executes one or more of the aforementioned icing wind tunnel temperature field correction methods.

[0037] As described above, the present application provides a method, device, and storage medium for calibrating the temperature field of an icing wind tunnel, which have the following beneficial effects:

[0038] The present application discloses a method for correcting the temperature field of an icing wind tunnel. The method obtains the evaporator detection temperature detected by each evaporator temperature sensor and the grille detection temperature detected by each grille temperature sensor within a preset time period, obtains an evaporator temperature model based on each evaporator detection temperature, and obtains a grille temperature model based on the evaporator temperature model and a pre-trained temperature prediction model. For any detection point at any time, the method determines the grille center temperature based on the grille detection temperature and the grille temperature model, determines the theoretical change gradient of each grille temperature relative to the grille center temperature based on the grille temperature model, determines the actual change gradient of each grille detection temperature relative to the grille detection temperature at the grille center based on each grille detection temperature, and corrects each grille detection temperature based on the grille center temperature, the theoretical change gradient, and the actual change gradient. Whether the grille detection temperature is abnormal can be determined based on the theoretical change gradient and the actual change gradient. If the grille detection temperature is abnormal, the grille detection temperature can be corrected to obtain a more accurate temperature field at the grille, thereby improving the reliability of the icing wind tunnel experiment.

[0039] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0041] Figure 1 is a schematic diagram of an implementation environment of an icing wind tunnel temperature field correction method according to an exemplary embodiment of the present application;

[0042] Figure 2 is a flow chart of a method for correcting the temperature field of an icing wind tunnel shown in an exemplary embodiment of the present application;

[0043] Figure 3 is a temperature distribution diagram of an evaporator detected according to an exemplary embodiment of the present application;

[0044] Figure 4 is a grid detection temperature distribution diagram shown in an exemplary embodiment of the present application;

[0045] Figure 5 is a schematic diagram of temperature interpolation shown in an exemplary embodiment of the present application;

[0046] Figure 6 It is a structural block diagram of an icing wind tunnel temperature field correction device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will describe the embodiments of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand the other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for the purpose of illustrating the present application and are not intended to limit the scope of protection of the present application.

[0048] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application. Therefore, the illustrations only show components related to the present application and are not drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component can be changed at will, and the component layout type may also be more complicated.

[0049] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0050] See also Figure 1 , which is a schematic diagram of an implementation environment of an icing wind tunnel temperature field correction method according to an exemplary embodiment of the present application. The implementation environment may include an evaporator 110 and a grille 120 .

[0051] Icing wind tunnels can be used to simulate icing conditions on aircraft, wind turbines, power transmission lines, and other equipment in low-temperature, high-humidity environments, assessing their anti-icing performance or the effectiveness of their anti-icing systems. In an icing wind tunnel, the evaporator 110 is the core component of the icing wind tunnel's refrigeration system. Using liquid nitrogen or other refrigerants, the evaporator 110 rapidly cools the airflow, reducing the air temperature inside the wind tunnel to tens of degrees Celsius below zero (typically -30°C to -40°C), simulating the low-temperature environment at high altitudes.

[0052] Grid 120 is a device used to measure the temperature field within a wind tunnel. It typically consists of closely spaced quadrilateral structures, often made of aluminum alloy or composite materials. Grid 120 can be a Honeycomb grid (or flow straightener), a flow conditioning grid (focusing on function), a straightener, or a turbulence reduction grid. Grid 120 is typically located in the test section of a wind tunnel and is primarily used to measure the temperature distribution of the fluid flowing through the test section. This ensures that the measured temperature represents the temperature uniformity of the test piece during testing, ensuring controllable and reproducible testing.

[0053] See also Figure 2 , Figure 2 This is a flow chart of an exemplary embodiment of the present invention showing a method for correcting the temperature field of an icing wind tunnel. The method for correcting the temperature field of an icing wind tunnel can be applied to Figure 1 The implementation environment shown. Figure 2 It can be seen that the icing wind tunnel temperature field correction method can include:

[0054] Step S210 , obtaining the evaporator detection temperature detected by each evaporator temperature sensor and the grille detection temperature detected by each grille temperature sensor within a preset time period.

[0055] The preset time period includes multiple time detection points, each of which corresponds to a set of evaporator detection temperatures and a set of grille detection temperatures. Each set of evaporator detection temperatures includes the evaporator detection temperatures detected by all temperature sensors in the evaporator grid at any time detection point, and each set of grille detection temperatures includes the grille detection temperatures detected by all temperature sensors in the grille grid at any time detection point.

[0056] In one embodiment of the present application, the evaporator detection temperature detected by each temperature sensor in the evaporator grid and the grille detection temperature detected by each temperature sensor in the grille grid within a preset working time period may be obtained.

[0057] For example, see Figure 3 , which is an evaporator detection temperature distribution diagram shown in an exemplary embodiment of the present application. represents the horizontal axis, The y-axis represents the vertical axis, and the arrow on the y-axis points in the opposite direction of gravity. A rectangular coordinate system can be established with the lower left corner of the temperature sensor at the evaporator as the origin, with the x-axis pointing rightward and the y-axis pointing upward. Each coordinate point represents the installation location of the temperature sensor. At any given time point, the temperatures detected by all temperature sensors constitute a set of evaporator temperature measurements. Each coordinate represents the location of the evaporator temperature detected by the temperature sensor.

[0058] For example, see Figure 4 , which is a grid detection temperature distribution diagram shown in an exemplary embodiment of the present application. represents the horizontal axis, Represents the vertical axis. A rectangular coordinate system can be established with the lower left corner of the temperature sensor at the grille as the origin, with the x-axis to the right and the y-axis upward. Each coordinate point represents the installation location of the temperature sensor. At any time detection point, the temperatures detected by all temperature sensors can form a set of grille detection temperatures. The coordinates are The center of the grid. Each coordinate represents the detection position of the grid detection temperature obtained by the temperature sensor.

[0059] Exemplarily, the preset working time period may be preset by an operator, and the exemplary preset working time period may be any value between 2 minutes and 3 minutes.

[0060] It should be noted that the icing wind tunnel temperature field correction method provided in the embodiment of the present application can be executed by a terminal, a server or a server cluster.

[0061] Step S220 : obtaining an evaporator temperature model based on the detected temperature of each evaporator.

[0062] The evaporator temperature model is used to characterize the evaporator temperature at each position of the evaporator at each time.

[0063] In one embodiment of the present application, an evaporator temperature model may be obtained based on the detected temperature of each evaporator.

[0064] In one embodiment, step S220 performs linear interpolation based on the detected temperatures of each evaporator to obtain the evaporator detection temperature model, which may include: for the evaporator detection temperature at any time detection point: performing linear interpolation based on each evaporator detection temperature to obtain an interpolation temperature set; and determining the evaporator detection temperature model based on each interpolation temperature set. Designers can pre-select the interpolation positions that need to be interpolated, and after performing linear interpolation at each interpolation position, determine the interpolation temperature of each interpolation position. The interpolation temperature set includes the interpolation temperature and the evaporator detection temperature. Interpolation expansion of the evaporator detection temperature can expand the amount of data. Since the number of detection points where the temperature sensor is set at the evaporator is less than that where the temperature sensor is set at the grille, the number of detection points where the temperature sensor is set at the evaporator is less than that where the temperature sensor is set at the grille.

[0065] For example, see Figure 5 , which is a schematic diagram of temperature interpolation shown in an exemplary embodiment of the present application. Using the heat balance method, the temperature of any node in the evaporator is calculated under the condition of forced convection temperature stability. The interpolation temperature with coordinates (m, n) can be determined by the following formula:

[0066] ;

[0067] in, , represents the heat flux at (m,n), Indicates the heat flux density, in the case of convection , represents the convective heat transfer coefficient, Indicates the sensor surface temperature, is the fluid temperature at (m,n), which is also the interpolation temperature. Indicates the temperature at the center of any rectangle in the evaporator that has no temperature measurement point. represents the thermal conductivity. , , , The values ​​of are obtained using linear interpolation.

[0068] Different detection positions have different temperature point differential methods. When the node and the temperature sensor installation position have the same x-axis coordinate, the temperature field on the straight boundary of the evaporator is , Intermediate Node For example:

[0069] ;

[0070] The temperatures at other node locations can be determined in the same way as above.

[0071] When the node and the temperature sensor installation position have the same y-axis coordinate, the temperature field on the evaporator is flat. , Intermediate Node For example:

[0072] ;

[0073] The temperatures at other node locations can be determined in the same way as above.

[0074] It should be noted that since the influence of the temperature field sensor and the fluid heat exchange at the evaporator is small, the heat exchange between the fluid and the temperature sensor is not considered. ,in represents the horizontal axis, represents the vertical axis, Represents time, represents the evaporator temperature. Assuming the linear function is .

[0075] The data obtained after temperature difference is used. The interpolated temperature set is interpolated using the least squares method to determine the linear function The coefficient of :

[0076] ;

[0077] in, , , represents the interpolated temperature set at the evaporator.

[0078] The evaporator temperature model is obtained through the above method.

[0079] Step S230 , obtaining a grille temperature model according to the evaporator temperature model and a pre-trained temperature prediction model.

[0080] The grid temperature model is used to characterize the grid temperature at each grid position at each time.

[0081] In one embodiment of the present application, a grille temperature model can be obtained based on the evaporator temperature model and a pre-trained temperature prediction model. The temperature prediction model can obtain the grille temperature at each grille position at each time based on the input evaporator temperature model, and obtain the grille temperature model by performing data fitting on all grille temperatures. When the evaporator temperature model is input into the temperature prediction model, the value range of each parameter in the evaporator model can be input at the same time. For example, if the evaporator model is You can enter 、 、 The value range of The value range of the evaporator can be The maximum value of the boundary on the axis, The value range of the evaporator can be The maximum value of the boundary on the axis, The value range of can be the maximum value of the preset time period.

[0082] It should be noted that a temperature prediction model can be obtained by training an initial model using historical data. The historical data can include a historical evaporator temperature model and a corresponding historical grille temperature set. Each training sample includes a historical evaporator temperature model and a corresponding historical grille temperature set. The historical grille temperature set can serve as a sample label. The historical grille temperature set can include the grille temperature at each sensor location in the grille at each time point. By training the initial model using historical data to obtain a temperature prediction model, the temperature prediction model can be used to predict the grille temperature based on the evaporator temperature model.

[0083] The temperature prediction model can be a recurrent neural network model, a temporal convolutional network, or a Transformer model.

[0084] Step S240, for any time detection point: determine the grille center temperature based on the grille detection temperature and the grille temperature model; determine the theoretical change gradient of each grille temperature relative to the grille center temperature based on the grille temperature model; determine the actual change gradient of each grille detection temperature relative to the grille detection temperature at the grille center based on each grille detection temperature; calibrate each grille detection temperature based on the grille center temperature, the theoretical change gradient, and the actual change gradient.

[0085] In one embodiment of the present application, for any time detection point: the grid center temperature, theoretical change gradient, and actual change gradient can be determined, and the detected temperature of each grid can be corrected based on the grid center temperature, theoretical change gradient, and actual change gradient.

[0086] In one possible implementation, after the grid temperature model is determined, the theoretical change gradient of each grid temperature relative to the grid center temperature can be determined according to the following formula:

[0087] ;

[0088] in, Represents the theoretical change gradient.

[0089] In a possible implementation, the grid detection temperature is a discrete point, and the actual change gradient of each grid detection temperature relative to the grid detection temperature at the center of the grid is determined based on each grid detection temperature. When , for non-boundary points, the central difference method can be used to determine the actual change gradient, and for boundary points, the forward / backward difference method can be used to determine the actual change gradient.

[0090] In one embodiment, the grille center temperature is determined based on the grille detection temperature and the grille temperature model, including: determining the central detection temperature at the center of the grille based on the grille detection temperature; determining the central theoretical temperature at the center of the grille based on the grille temperature model; and determining the grille center temperature based on the central detection temperature and the central theoretical temperature.

[0091] In one embodiment of the present application, the position coordinates and time detection points at the center of the grid may be substituted into the grid temperature model to obtain the central theoretical temperature at the center of the grid.

[0092] Determining the central detection temperature at the center of the grille according to the grille detection temperatures includes: determining the average of all grille detection temperatures as the central detection temperature.

[0093] In one embodiment of the present application, for any time detection point, the average of all grid detection temperatures corresponding to the any time monitoring point can be determined as the central detection temperature, which can improve the reliability of the central detection temperature.

[0094] In one embodiment, the grille center temperature is determined based on the center detected temperature and the center theoretical temperature, including: when the difference between the center detected temperature and the center theoretical temperature is within a first difference range, determining the grille center temperature as the grille center temperature; and when the difference between the center detected temperature and the center theoretical temperature is within a second difference range, determining the grille center temperature as the average of the grille center detected temperature and the center theoretical temperature. If the temperature measured at the evaporator outlet fluctuates by less than 1°C over 10 minutes, and the absolute value of the difference between the center detected temperature and the center theoretical temperature is not within the first difference range or the second difference range, this indicates that the grille center temperature or the center theoretical temperature is abnormal, requiring manual inspection of the sensors installed on the grille and the evaporator.

[0095] For example, the first difference interval can be [0, 0.5], and the second difference interval can be .

[0096] In an embodiment, the grid detection temperature at each time detection point is corrected according to the grid center temperature, the theoretical change gradient, and the actual change gradient, including: comparing the theoretical change gradient and the actual change gradient to obtain a comparison result; and correcting the grid detection temperature at each time detection point according to the grid center temperature, the comparison result, and the theoretical change gradient.

[0097] In an embodiment, the comparison result includes a first result and a second result, and the comparison between the theoretical change gradient and the actual change gradient to obtain the comparison result includes: obtaining the first result when the theoretical change gradient and the actual change gradient have the same sign and the absolute value of the trend difference is less than a preset difference value; and obtaining the second result when the theoretical change gradient and the actual change gradient have different signs or the absolute value of the trend difference is greater than or equal to the preset difference value.

[0098] It should be noted that the trend difference can be the difference between the theoretical change gradient and the actual change gradient. The preset difference value can be 0.5°C.

[0099] In an embodiment of the present application, since the actual change gradient is a discrete point gradient, an actual change gradient can be determined for each grid detection temperature. The position and time detection point of each grid detection temperature can be substituted into the theoretical change gradient to determine the theoretical change gradient corresponding to the grid detection position. The grid detection position has an actual change gradient and a theoretical change gradient, and the theoretical change gradient and the actual change gradient can be obtained for each grid detection position to obtain the comparison result corresponding to the grid detection position.

[0100] In an embodiment, the grid detection temperature at each time detection point is corrected according to the grid center temperature, the comparison result, and the theoretical change gradient, including: when the comparison result is the second result, determining a temperature gradient according to each grid detection position and the theoretical change gradient; the grid detection position is the position of the grid detection temperature; and determining a correction temperature of each grid detection position according to the grid center position and the temperature gradient.

[0101] In an embodiment of the present application, when the comparison result is the second result, the temperature gradient can be determined by substituting the grid detection position and the time detection point into the theoretical change gradient, and the sum of the grid center temperature and the temperature gradient is determined as the correction temperature of the grid detection position.

[0102] For example, the temperature at the grid detection position needs to be corrected to the grid center temperature at the grid detection position as a reference, the correction temperature at the grid detection position can be represented as:

[0103]

[0104] wherein, indicates the grid detection position correction temperature.

[0105] It should be noted that when the comparison result is the first result, it can be indicated that the temperature sensor at the grid is working normally, and the grid detection temperature can not be corrected.

[0106] The icing wind tunnel temperature field correction method provided by the embodiment of the present application can capture the change gradient of the evaporator outlet temperature in the time and space dimensions in real time, construct a dynamic correlation model thereof and the grid area, realize accurate compensation of heat loss transmission and active inhibition of transient temperature fluctuation, break through the limitations of traditional static reference and experience estimation, and significantly improve the space-time consistency of temperature field calibration, thereby providing a core guarantee for high-confidence experiments of the icing wind tunnel.

[0107] Figure 6 is a block diagram of an icing wind tunnel temperature field correction device according to an example embodiment of the present application. As Figure 6 shown, the example icing wind tunnel temperature field correction device 600 includes:

[0108] The data acquisition module 610 is configured to acquire evaporator detection temperatures detected by each evaporator temperature sensor and grid detection temperatures detected by each grid temperature sensor in a preset time period, the preset time period including a plurality of time detection points, and each time detection point corresponding to a group of evaporator detection temperatures and a group of grid detection temperatures.

[0109] The first model determination module 620 is configured to obtain an evaporator temperature model according to the evaporator detection temperatures, and the evaporator temperature model is configured to represent evaporator temperatures of each position of the evaporator at each time.

[0110] The second model determination module 630 is configured to obtain a grid temperature model according to the evaporator temperature model and a pre-trained temperature prediction model, and the grid temperature model is configured to represent grid temperatures of each position of the grid at each time.

[0111] The temperature correction module 640 is configured to, for any time detection point: determine a grid center temperature according to the grid detection temperature and the grid temperature model; determine theoretical change gradients of each grid temperature relative to the grid center temperature according to the grid temperature model; determine actual change gradients of each grid detection temperature relative to the grid center temperature according to the grid detection temperatures; and correct the grid detection temperatures according to the grid center temperature, the theoretical change gradients and the actual change gradients.

[0112] ​It should be noted that the icing wind tunnel temperature field correction device provided in the above-described embodiment and the icing wind tunnel temperature field correction method provided in the above-described embodiment are based on the same concept. The specific manner in which each module and unit performs its operations has been described in detail in the method embodiments and will not be repeated here. In actual applications, the icing wind tunnel temperature field correction device provided in the above-described embodiment can, as needed, allocate the aforementioned functions to different functional modules, i.e., divide the internal structure of the system into different functional modules to perform all or part of the functions described above. This is not a limitation herein.

[0113] An embodiment of the present application further provides an electronic device, comprising: one or more processors; and a storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the electronic device implements the icing wind tunnel temperature field correction method provided in each of the above embodiments.

[0114] Another aspect of the present application provides a computer-readable storage medium storing a computer program. When executed by a computer processor, the computer program causes the computer to perform the icing wind tunnel temperature field correction method provided in each of the aforementioned embodiments. The computer-readable storage medium may be included in the electronic device described in the aforementioned embodiments, or may exist independently and not be incorporated into the electronic device.

[0115] Another aspect of the present application provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the icing wind tunnel temperature field correction method provided in each of the above embodiments.

[0116] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance. Throughout the specification and claims, the terms "including" and "comprising" are open-ended terms and should be interpreted as "including but not limited to."

[0117] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, any equivalent modifications or alterations accomplished by a person of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A method for correcting the temperature field of an icing wind tunnel, characterized in that: include: Obtaining evaporator detection temperatures detected by each evaporator temperature sensor and grille detection temperatures detected by each grille temperature sensor within a preset time period, wherein the preset time period includes a plurality of time detection points, each time detection point corresponding to a group of evaporator detection temperatures and a group of grille detection temperatures; According to the detected temperature of each evaporator, an evaporator temperature model is obtained; the evaporator temperature model is used to characterize the evaporator temperature at each position of the evaporator at each time; Obtaining a grid temperature model based on the evaporator temperature model and a pre-trained temperature prediction model, wherein the grid temperature model is used to characterize the grid temperature at each position of the grid at each time; The temperature prediction model is used to predict the grid temperature based on the evaporator temperature model; For any time detection point: determine the center temperature of the grille based on the grille detection temperature and the grille temperature model; determine the theoretical change gradient of each grille temperature relative to the center temperature of the grille based on the grille temperature model; determine the actual change gradient of each grille detection temperature relative to the grille detection temperature at the center of the grille based on each grille detection temperature; correct each grille detection temperature based on the center temperature of the grille, the theoretical change gradient, and the actual change gradient.

2. The icing wind tunnel temperature field correction method according to claim 1, characterized in that: According to the detected temperature of each evaporator, linear interpolation is performed to obtain the evaporator detection temperature model, including: For the evaporator detection temperature at any time detection point: perform linear interpolation based on the detection temperature of each evaporator to obtain an interpolated temperature set; The evaporator detection temperature model is determined based on each interpolated temperature set.

3. The icing wind tunnel temperature field correction method according to claim 1, characterized in that: Determine the center temperature of the grid based on the grid detection temperature and the grid temperature model, including: determining a central detection temperature at the center of the grid according to the grid detection temperature; determining a central theoretical temperature at the center of the grid according to the grid temperature model; The center temperature of the grille is determined according to the center detected temperature and the center theoretical temperature.

4. The icing wind tunnel temperature field correction method according to claim 3, characterized in that: Determining the center temperature of the grille according to the center detected temperature and the center theoretical temperature includes: When the absolute value of the difference between the central detected temperature and the central theoretical temperature is within a first difference interval, determining the grille detected temperature at the center of the grille as the grille central temperature; When the absolute value of the difference between the central detected temperature and the central theoretical temperature is within a second difference range, an average of the grille detected temperature at the center of the grille and the central theoretical temperature is determined as the grille central temperature.

5. The icing wind tunnel temperature field correction method according to claim 3, characterized in that: Determining a central detected temperature at the center of the grid according to the grid detected temperature includes: The average of all grid detected temperatures is determined as the central detected temperature.

6. The icing wind tunnel temperature field correction method according to claim 1, characterized in that: Correcting the grid detection temperature at each time detection point according to the grid center temperature, the theoretical change gradient, and the actual change gradient includes: comparing the theoretical change gradient and the actual change gradient to obtain a comparison result; The detected temperature of the grid at each detection point in time is corrected according to the center temperature of the grid, the comparison result, and the theoretical change gradient.

7. The icing wind tunnel temperature field correction method according to claim 6, characterized in that: The comparison result includes a first result and a second result. The comparison result is obtained by comparing the theoretical change gradient with the actual change gradient, including: When the theoretical change gradient and the actual change gradient have the same sign, and the absolute value of the trend difference is less than a preset difference, obtaining a first result; When the signs of the theoretical change gradient and the actual change gradient are consistent, and the absolute value of the trend difference is greater than or equal to the preset difference, or when the signs of the theoretical change gradient and the actual change gradient are inconsistent, a second result is obtained.

8. The icing wind tunnel temperature field correction method according to claim 7, characterized in that: Correcting the grid detection temperature at each time detection point according to the grid center temperature, the comparison result, and the theoretical change gradient includes: When the comparison result is the second result, the temperature gradient is determined according to each grid detection position and the theoretical change gradient; the grid detection position is the position where the grid detects the temperature; The correction temperature of each grid detection position is determined according to the grid center position and the temperature gradient.

9. An icing wind tunnel temperature field correction device, characterized in that: include: a data acquisition module, configured to acquire the evaporator detection temperature detected by each evaporator temperature sensor and the grille detection temperature detected by each grille temperature sensor within a preset time period, wherein the preset time period includes a plurality of time detection points, each time detection point corresponding to a group of evaporator detection temperatures and a group of grille detection temperatures; A first model determination module is used to obtain an evaporator temperature model according to the detected temperature of each evaporator; The evaporator temperature model is used to characterize the evaporator temperature at each position of the evaporator at each time; A second model determination module is used to obtain a grille temperature model based on the evaporator temperature model and a pre-trained temperature prediction model, wherein the grille temperature model is used to characterize the grille temperature at each position of the grille at each time; The temperature prediction model is used to predict the grid temperature based on the evaporator temperature model; The temperature correction module is used to: determine the center temperature of the grille based on the grille detection temperature and the grille temperature model at any time detection point; determine the theoretical change gradient of each grille temperature relative to the center temperature of the grille based on the grille temperature model; determine the actual change gradient of each grille detection temperature relative to the grille detection temperature at the center of the grille based on each grille detection temperature; and correct each grille detection temperature based on the center temperature of the grille, the theoretical change gradient, and the actual change gradient.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the icing wind tunnel temperature field correction method according to any one of claims 1 to 8.

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