Wind tunnel test model and intelligent method

Abstract

The invention provides a wind tunnel test model and an intelligent method. The model comprises a test model body, a plurality of measurement sensors, a processing chip, a memory, a power supply system, a power input port and a data communication interface. According to the size of a wind tunnel test section, determining a test model scaling ratio, and according to the scaling ratio, determining the shape and the segmentation surface position of a test model body; a measuring sensor is embedded or installed in the surface of the test model, and a processing chip, a memory, a power supply system, a power input port and a data communication interface are installed in the test model; according to the invention, the test model can sense physical parameters in real time, such as air pressure, wind speed, position and attitude, real-time intercommunication of data obtained by a measurement sensor and an external measurement means is realized, an intelligent algorithm is written in a processing chip, sensing and verification of test data by a test model object are realized, intelligentization of the wind tunnel test model is realized, and the reliability of the test model is improved. A technical basis is provided for wind tunnel intellectualization, and the method has high engineering application value.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of aerospace technology, and in particular to a wind tunnel test model and an intelligent method. BACKGROUND

[0002] Intelligent wind tunnel is one of the development directions of aerodynamic test basic equipment. Intelligent wind tunnel can not only intelligently execute the preset test task at present, but also can propose an aerodynamic scheme that has not been conceived based on past test data, ultimately promote the design revolution in the fields of aerospace, transportation and even construction, and realize a new era of super-efficient and low-loss wind tunnel test. The connotation of intelligent wind tunnel includes intelligent monitoring of wind tunnel health, intelligent design of test scheme, intelligentization of test model, autonomous verification of wind tunnel test data, autonomous perception and control of wind tunnel flow field, etc., so as to realize the leap of wind tunnel from "tool method" in aerodynamics field to "autonomous research partner". However, the intelligentization of wind tunnel needs to be gradually realized on the basis of automation, informatization and dataization, and how to intelligently make the test model is a key technology to realize the intelligentization of wind tunnel.

[0003] For different test subjects, the existing test model is mainly designed based on mechanical design method, the shape is designed according to similarity criterion, the model support form with small interference is adopted, and reasonable model simplification is adopted. The test model installed on the support mechanism of the test section of the wind tunnel can only obtain the data of aerodynamic force, aerodynamic heat, deformation and flow by means of external measurement means, and the existing design method does not involve intelligentization. The data obtained by such test model is separated from the physical model, small changes in actual test vehicle need to be manually modified, the search and verification efficiency of a large amount of historical accumulated test data is low, the aerodynamic knowledge formed by aerodynamic data depends on people, and the aerodynamic knowledge cannot be accumulated by machine intelligence, that is, the existing test model is not conducive to the intelligent development of wind tunnel. Therefore, the difficulty of the present application lies in how to intelligently make the test model to be suitable for future intelligent wind tunnel. SUMMARY

[0004] The technical problem solved by the present application is that the present application provides a wind tunnel test model and an intelligent method, realizes real-time, in-situ and active perception of the physical world by the physical model, realizes collection, storage and verification of test data, realizes intelligentization of the test model, is beneficial to intelligent accumulation of aerodynamic data and aerodynamic knowledge, and provides a technical basis for the intelligent development of wind tunnel.

[0005] The technical scheme adopted by the present application is: an intelligent method for a wind tunnel test model, comprising:

[0006] Determine the test model scaling ratio according to the size of the wind tunnel test section, design the test model shape meeting the similarity criterion, and determine the test model section position;

[0007] According to the shape and section position of the test model, the support mode of the test model and the internal space of the test model are determined;

[0008] The measurement sensor embedded or built-in on the surface of the test model and the built-in processing chip and power supply system are selected; according to the size and position of the measurement sensor and the processing chip, the installation cabin and the internal cable routing in the cabin are arranged in the internal space of the test model;

[0009] According to the number of internal cable lines in the cabin, the power input port and position are determined;

[0010] The memory position in the test model, the type and position of the data communication interface, and the model encryption password are determined;

[0011] The test model is processed, and the measurement sensor, memory, processing chip, power supply system and data communication interface are installed and debugged. After debugging, the unique label of the test model is entered into the memory;

[0012] Obtain external test data by wind tunnel test, and store the external test data into the memory synchronously;

[0013] Through the processing chip, an algorithm is written to synchronize and verify the external test data and the measurement data of the measurement sensor embedded or built-in on the surface of the test model.

[0014] Further, the support mode includes tail support, abdominal support and back support.

[0015] Further, according to the test type, the measurement sensor embedded or built-in on the surface of the test model and the built-in processing chip and power supply system are selected; the test type includes single or combined wind tunnel test of force measurement, pressure measurement, flow field display, structure deformation and heat flow.

[0016] Further, the measurement sensor includes basic sensor and optional sensor; wherein the basic sensor is a must-configure, including wind speed measurement sensor, attitude angle measurement sensor, positioning sensor, pressure measurement sensor, non-contact tag sensor; the optional sensor includes rudder angle detection sensor, particle sowing sensor, temperature sensor.

[0017] Further, the installation cabin is designed to consider heat dissipation, and the heat of the processing chip is conducted to the surface of the test model.

[0018] Further, the data communication interface includes wired and / or wireless.

[0019] The application discloses an intelligent wind tunnel test model, which comprises a test model body, a plurality of measuring sensors, a processing chip, a memory, a power supply system, a power input port and a data communication interface; the test model scale ratio is determined according to the size of a wind tunnel test section, and the shape of the test model body and the position of sectional surfaces are determined according to the scale ratio; the measuring sensors are embedded on the surface of the test model or installed inside the test model, and the processing chip, the memory, the power supply system, the power input port and the data communication interface are installed inside the test model; the data measured by the measuring sensors is output through the data communication interface after being converted into digital signals by the processing chip; the memory stores the data measured by the measuring sensors and test data measured by an external wind tunnel test; and the power input port supplies power to the power supply system, and the power supply system supplies power to the measuring sensors, the processing chip, the memory and the data communication interface.

[0020] Further, the support mode of the test model body comprises tail support, abdominal support and back support.

[0021] Further, the measuring sensors comprise basic sensors and optional sensors; wherein the basic sensors are necessarily configured and comprise wind speed measuring sensors, attitude angle measuring sensors, positioning sensors, pressure measuring sensors and non-contact tag sensors; and the optional sensors comprise rudder deflection angle detecting sensors, particle sowing sensors and temperature sensors.

[0022] Further, the data communication interface comprises wired and / or wireless.

[0023] Compared with the prior art, the application has the following beneficial effects:

[0024] 1. The wind tunnel test model is provided with embedded or built-in measuring sensors and a built-in memory, so that the test model can perceive physical parameters in real time, such as air pressure, wind speed, position and attitude, and the test model itself has the ability of data acquisition and data storage.

[0025] 2. The wind tunnel test model is provided with embedded or built-in measuring sensors, and the data obtained by the measuring sensors and external measuring means can be interchanged in real time, so that the test model has the ability of real-time checking.

[0026] 3. The wind tunnel test model is provided with a processing chip and an intelligent algorithm, so that the test model can perceive and check test data, the test model is intelligentized, the intelligent accumulation of aerodynamic data and aerodynamic knowledge is facilitated, and a technical foundation is provided for the intelligent development of wind tunnels. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the specific embodiments or prior art of the present application, the drawings needed to be used in the specific embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0028] Fig. 1 A flow chart of the intelligent method of the test model of the present application;

[0029] Fig. 2 An external shape diagram of the intelligent test model of an embodiment of the present application;

[0030] Fig. 3 An internal structure diagram of the intelligent test model of an embodiment of the present application;

[0031] Explanation of reference signs:

[0032] 1: Test model shape; 2: Section; 3: Wind speed measurement sensor; 4: Attitude angle measurement sensor; 5: Positioning sensor; 6: Pressure measurement sensor; 7: Non-contact tag sensor; 8: Indicator light; 9: Processing chip; 10: Power supply system; 11: Power input port; 12: Memory; 13: Data communication interface. DETAILED DESCRIPTION

[0033] The technical solutions of the present application will be described below in conjunction with the embodiments, obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0034] An intelligent method of a wind tunnel test model, comprising the following steps:

[0035] S1: Determine the test model scale according to the size of the wind tunnel test section, design the test model shape that meets the similarity criteria, and determine the test model section;

[0036] S2: Determine the support mode and the test model internal space according to the test model shape and section in S1;

[0037] S3: Determine the type of measurement sensor embedded on the surface or built-in of the test model, the built-in processing chip and the power supply system according to the test type, and design the installation cabin and internal wiring in the model internal space in S2 according to the size and position of the sensor and the processing chip;

[0038] S4: Determine the power input port and position according to the number of internal lines in S3;

[0039] S5: determining the test model memory location, data communication interface type and location, and designing the model encryption password;

[0040] S6: processing the test model, installing and debugging the measurement sensor, memory, processing chip, power supply system and data communication interface, and entering the test model unique tag into the internal memory after debugging;

[0041] S7: carrying out wind tunnel test, obtaining test data through external measurement means, and synchronously storing the external test data into the test model internal memory;

[0042] S8: realizing data synchronization and verification of the external test data and the model surface embedded or built-in sensor measurement data through the processing chip algorithm, and generating the intelligent wind tunnel test model.

[0043] The support mode of the step S2 includes tail support, abdominal support and back support, etc.

[0044] The test type of the step S3 includes single or combined wind tunnel test of force measurement, pressure measurement, flow field display, structure deformation, heat flow, etc.

[0045] The sensor type in the step S3 includes basic sensor and optional sensor, the basic sensor is a must-configure, including wind speed measurement sensor, attitude angle measurement sensor, positioning sensor, pressure measurement sensor, non-contact tag sensor, etc.; the optional sensor can be configured or not configured according to the test type, including rudder deflection angle detection sensor, particle sowing sensor, temperature sensor, etc. The test model also has built-in indicator light for alarm.

[0046] The heat dissipation is considered in the installation cabin design in the step S3.

[0047] The data communication interface in the step S5 includes wired and / or wireless.

[0048] An intelligent wind tunnel test model, comprising: a test model body, a plurality of measurement sensors, a processing chip, a memory, a power supply system, a power input port and a data communication interface; determining the test model scale ratio according to the size of the wind tunnel test section, and determining the shape and segmented surface position of the test model body according to the scale ratio; embedding or internally installing the measurement sensor on the surface of the test model, and internally installing the processing chip, memory, power supply system, power input port and data communication interface in the test model; the data measured by the measurement sensor is output through the data communication interface after analog-digital conversion by the processing chip; the memory stores the data measured by the measurement sensor and the test data measured by the external wind tunnel test; the power input port supplies power to the power supply system, and the power supply system supplies power to the measurement sensor, processing chip, memory and data communication interface.

[0049] The support mode of the test model body includes tail support, belly support and back support.

[0050] The measurement sensor includes a basic sensor and an optional sensor; wherein the basic sensor is a must-configure sensor, including a wind speed measurement sensor, an attitude angle measurement sensor, a positioning sensor, a pressure measurement sensor and a non-contact tag sensor; the optional sensor includes a rudder deflection angle detection sensor, a particle sowing sensor and a temperature sensor.

[0051] The data communication interface includes wired and / or wireless.

[0052] Embodiment:

[0053] As shown in Figs. 1 to 3 The embodiment of the application provides an intelligent method for a wind tunnel test model, which comprises the following steps:

[0054] S1: according to the cross-sectional size of the wind tunnel test section, the test model scale is determined as 1:5, the test model shape 1 and the test model section 2 positions are designed to meet the similarity criterion;

[0055] S2: according to the test model shape 1 and the test model section 2 in S1, the tail support and the test model internal space are determined;

[0056] S3: the test type is a force test, the measurement sensor embedded on the surface or built-in the test model includes a basic sensor and an optional sensor (the basic sensor includes a wind speed measurement sensor 3, an attitude angle measurement sensor 4, a positioning sensor 5, a pressure measurement sensor 6 and a non-contact tag sensor 7; the optional sensor can be configured or not configured according to the test type, and includes a rudder deflection angle detection sensor, a particle sowing sensor and a temperature sensor), the test model is further provided with an indicator light 8, a processing chip 9 and a power supply system 10, according to the size and position of the sensor and the processing chip 9, an installation cabin is designed in the test model internal space in S2, heat dissipation is considered, the heating chip is conducted to the model surface, and internal wiring is designed;

[0057] S4: according to the number of internal lines in S3, the power input port 11 and the position are determined;

[0058] S5: the test model memory 12 position, the data communication interface 13 type and the position are determined, the data communication is wired communication, and the model encryption password is designed;

[0059] S6: the test model is processed, the measurement sensor, the memory 12, the processing chip 9, the power supply system 10 and the data communication interface 13 are installed and debugged, and after debugging, the test model unique label is recorded into the internal memory 12;

[0060] S7: carry out wind tunnel test, obtain test data through external measurement means, and store the external test data into the internal memory 12 of the test model synchronously;

[0061] S8: write algorithm through the processing chip 9, realize data synchronization and verification of the external test data and the model surface embedded or built-in sensor measurement data, and generate an intelligent wind tunnel test model.

[0062] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. An intelligent method for wind tunnel test models, characterized in that, include: The scale ratio of the test model is determined based on the dimensions of the wind tunnel test section. The shape of the test model that meets the similarity criteria is designed, and the location of the test model section is determined. Based on the shape and cross-sectional location of the test model, determine the support method and internal space of the test model; Select the measurement sensors embedded or built into the surface of the test model, as well as the built-in processing chip and power supply system; according to the size and location of the measurement sensors and processing chip, set up the installation compartment and internal cable routing in the internal space of the test model; Determine the power input port and its location based on the number of internal cables in the cabin; Determine the location of the memory, the type and location of the data communication interface in the experimental model, and set the model encryption password; Process the test model, install and debug the measurement sensors, memory, processing chip, power supply system and data communication interface, and after debugging, enter the unique label of the test model into the memory; Wind tunnel tests are conducted to obtain external test data, which is then synchronously stored in the memory. By processing the chip and writing algorithms, external experimental data and measurement data from measurement sensors embedded or built into the surface of the experimental model are synchronized and verified.

2. The intelligent method for a wind tunnel test model according to claim 1, characterized in that, The support methods include tail support, belly support, and back support.

3. The intelligent method for a wind tunnel test model according to claim 1, characterized in that, The measurement sensors embedded or built into the surface of the test model, as well as the built-in processing chip and power supply system, are selected according to the test type; the test types include wind tunnel tests of force measurement, pressure measurement, flow field display, structural deformation, and heat flow, either individually or in combination.

4. The intelligent method for a wind tunnel test model according to claim 1, characterized in that, The measurement sensors include basic sensors and optional sensors; among them, the basic sensors are mandatory and include wind speed measurement sensors, attitude angle measurement sensors, positioning sensors, pressure measurement sensors, and non-contact tag sensors; the optional sensors include rudder deflection angle detection sensors, particle dispersal sensors, and temperature sensors.

5. The intelligent method for a wind tunnel test model according to claim 1, characterized in that, The mounting chamber is designed with heat dissipation in mind, conducting the heat from the processing chip to the surface of the test model.

6. The intelligent method for a wind tunnel test model according to claim 1, characterized in that, The data communication interface includes wired and / or wireless interfaces.

7. An intelligent wind tunnel test model, characterized in that, include: The test model consists of a main body, several measurement sensors, a processing chip, a memory, a power supply system, a power input port, and a data communication interface. The scale of the test model is determined based on the dimensions of the wind tunnel test section, and the shape and segment positions of the main body are determined based on the scale. Measurement sensors are embedded or installed on the surface or inside the test model, and the processing chip, memory, power supply system, power input port, and data communication interface are installed inside the test model. The data measured by the measurement sensors is converted from analog to digital by the processing chip and then output through the data communication interface. The memory stores data measured by the measuring sensors and test data measured by the external wind tunnel test; The power input port supplies power to the power supply system, which in turn supplies power to the measurement sensors, processing chips, memory, and data communication interfaces.

8. The intelligent wind tunnel test model according to claim 7, characterized in that, The test model body is supported by tail support, belly support, and back support.

9. The intelligent wind tunnel test model according to claim 7, characterized in that, The measurement sensors include basic sensors and optional sensors; among them, the basic sensors are mandatory and include wind speed measurement sensors, attitude angle measurement sensors, positioning sensors, pressure measurement sensors, and non-contact tag sensors; the optional sensors include rudder deflection angle detection sensors, particle dispersal sensors, and temperature sensors.

10. The intelligent wind tunnel test model according to claim 7, characterized in that, The data communication interface includes wired and / or wireless interfaces.

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