Environmental simulation system and method for infrared target fusion test

Abstract

The invention discloses an environment simulation system and method for an infrared target fusion test. The system comprises a real scene simulation unit; the humidity and illumination simulation unit is used for simulating a humidity environment and an illumination environment required by a test; the atmosphere perspective simulation unit comprises an adjustable attenuation sheet and a scattering medium, so as to dynamically adjust the projection rate of a light path and control the concentration of suspended particles in real time through linkage of an aerosol generator and a laser particle analyzer; the data fitting unit is used for establishing a nonlinear mapping relation between the control parameters of the display device and the environmental physical quantity; and the control unit and the test unit are used for acquiring test parameters of the target features on the display device through infrared detection and generating a confidence coefficient value for environment simulation based on the test parameters. The control unit may allow a quantized fused simulation effect value to be generated based on the confidence value. According to the method, the technical problem that quantitative evaluation and dynamic optimization of the fusion effect are difficult to realize in the current infrared target fusion test can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of infrared fusion technology, and in particular to an environment simulation system and method for infrared target fusion testing. Background Art

[0002] The core of infrared fusion technology is to reduce the difference in infrared radiation between the target and the background. However, traditional testing methods rely on field tests, which have the following problems:

[0003] 1. Uncontrollable environment: Natural environment factors such as temperature, humidity, light, and atmospheric attenuation are highly random, making it difficult to reproduce specific test conditions.

[0004] 2. Lack of multi-factor coupling: Existing laboratory systems can only simulate a single parameter (such as temperature or humidity) and cannot achieve dynamic coordinated control of temperature-humidity-light-atmospheric attenuation.

[0005] 3. Subjective evaluation: Relying on manual visual inspection or simple temperature difference comparison, it lacks quantitative indicators and intelligent adversarial testing methods.

[0006] For example, patent CN115752742A discloses an infrared radiation simulation device, but it can only simulate a static temperature field through a blackbody radiation source and cannot simulate the impact of dynamic environmental changes on the fusion effect.

[0007] The present invention significantly improves test accuracy and efficiency by constructing a multi-physics field coupling simulation system and combining data-driven control with intelligent evaluation algorithms. Summary of the Invention

[0008] The main purpose of the present invention is to propose an environmental simulation system and method for infrared target fusion testing, aiming to at least solve the technical problem in related technologies that it is difficult to achieve quantitative evaluation and dynamic optimization of fusion effects.

[0009] To achieve the above objectives, the present invention proposes an environmental simulation system for infrared target fusion testing, which includes:

[0010] A real-scene simulation unit, comprising a display device, wherein the display device can be used to display different infrared target fusion test scenes;

[0011] The humidity and light simulation unit is located in front of the real-scene simulation unit and can be used to simulate the humidity and light environments required for the test;

[0012] The atmospheric perspective simulation unit includes an adjustable attenuation plate and scattering medium to dynamically adjust the projection rate of the light path, and controls the suspended particle concentration in real time by linking the aerosol generator with the laser particle size analyzer;

[0013] a data fitting unit electrically connected to the real scene simulation unit, the humidity and illumination simulation unit, and the atmospheric perspective simulation unit, and configured to establish a nonlinear mapping relationship between the control parameters of the display device and environmental physical quantities;

[0014] a control unit electrically connected to the data fitting unit, the control unit being capable of adjusting the setting parameters of the real scene simulation unit, the humidity and light simulation unit, and the atmospheric perspective simulation unit based on the actual test environment; and

[0015] a testing unit configured to obtain test parameters of target features on the display device through infrared detection, and generate a confidence value of the environment simulation based on the test parameters;

[0016] The control unit may allow for the generation of a quantified fusion simulation effect value based on the confidence value.

[0017] In one embodiment of the present invention, the display device in the real scene simulation unit is a liquid crystal display screen, and the liquid crystal display screen adopts a microchannel heat exchange array;

[0018] The real-scene simulation unit is further provided with a temperature gradient simulation module of the target area. The temperature gradient simulation module optimizes the layout of the heating / cooling modules through finite element analysis and generates a temperature distribution that conforms to the real scene.

[0019] In one embodiment of the present invention, the humidity and light simulation unit includes a microfluidic humidity chamber and a multi-spectral LED matrix;

[0020] Wherein, the microfluidic humidity chamber is closed-loop controlled by a dew point sensor; and

[0021] The multi-spectrum LED matrix is ​​connected to a lens for uniform irradiation.

[0022] In one embodiment of the present invention, the data fitting unit is used to couple temperature and humidity, coordinate infrared irradiance and transmittance, and ensure the accuracy of data in each unit, and includes:

[0023] A temperature-humidity-light-transmittance quaternary equation system is constructed, which is:

[0024] Ambient temperature: T env =f1(T screen ,H,L)

[0025] Humidity: H = f2(T screen ,humidifier power)

[0026] Infrared irradiance: L IR =f3(Lvis ,filter transmission,aerosol density)

[0027] Transmittance: τ = exp(-α × aerosol density × d)

[0028] Among them, T env Characterizes the ambient temperature around the target (℃); T screen Indicates the surface temperature of the display screen (℃); H indicates the ambient humidity (%RH); L indicates the light intensity (W / m 2 );humidifier power represents the humidifier power (W); L vis Characterizes the intensity of visible light source (W / m 2 ). Filter transmission represents the transmittance of the filter to the infrared band. Aerosoldensity represents the aerosol concentration (mg / m 3 ); and the extinction coefficient of α aerosol to infrared radiation (m 2 / mg); d represents the optical path length (m), that is, the distance the radiation propagates in the aerosol.

[0029] In one embodiment of the present invention, a temperature sensor matrix is ​​provided on the periphery of the display device for real-time monitoring of temperature fluctuations in the environment and adjusting the heat exchange efficiency of the microchannel heat exchange array;

[0030] Among them, the control unit can allow the LSTM network to be trained based on historical data, predict the temperature response curve under different environmental conditions, and adjust the heating / cooling power in advance.

[0031] In one embodiment of the present invention, the testing unit includes:

[0032] an infrared thermal imaging scanner, which can be used to obtain a thermal image of the display device and record the temperature distribution;

[0033] A single-point temperature measurement module that records continuous temperature values ​​for a specific target area; and

[0034] Time series data module, which is used to detect the change process of temperature.

[0035] In one embodiment of the present invention, the testing unit, during the actual testing process, includes:

[0036] Step S1, obtaining the actual temperature difference ΔT between the target feature and the background;

[0037] Step S2, calculating the thermal image grayscale value contrast between the target and the background;

[0038] If ΔT is less than a preset first threshold, the surface fusion is effective; if the contrast is less than a preset second threshold, the fusion effect is good.

[0039] In one embodiment of the present invention, the test unit further includes fusion mode detection, including:

[0040] Input the thermal image into the target detection algorithm and calculate the recognition rate;

[0041] Among them, if the recognition rate drops significantly, the representation fusion method is effective.

[0042] The present invention also provides an environment simulation method for infrared target fusion testing, which comprises:

[0043] Step S10, displaying a preset infrared target fusion test scene on a display device, and adjusting the temperature gradient of the display area based on the microchannel heat exchange array so that the temperature distribution conforms to the real scene;

[0044] Step S20: The ambient humidity is controlled in a closed-loop manner through a microfluidic humidity chamber, and a uniformly irradiated lighting condition is generated through a multi-spectral LED matrix. The transmittance of the adjustable attenuation sheet is dynamically adjusted, and the suspended particle concentration is controlled by combining an aerosol generator with a laser particle size analyzer to simulate different atmospheric attenuation effects.

[0045] Step S30, establishing a nonlinear mapping relationship between the display device control parameters and the environmental physical quantities;

[0046] Step S40: training an LSTM network based on real-time environmental parameters and historical data to predict the temperature response curve, adjust the heating / cooling power in advance, and adjust the microchannel heat exchange efficiency through temperature sensor matrix feedback;

[0047] Step S50: Obtain a thermal image of the target area using an infrared thermal imaging scanner and perform the following tests:

[0048] Calculate the actual temperature difference (ΔT) between the target and the background and the grayscale contrast of the thermal image;

[0049] If ΔT < the first threshold and the contrast < the second threshold, the fusion is determined to be valid;

[0050] Input the thermal image into the target detection algorithm, calculate the decrease in recognition rate, and quantify the confidence of the fusion effect;

[0051] Step S60: Generate a fusion simulation effect value according to the confidence level, and iteratively optimize the environment parameter settings based on the value.

[0052] Some embodiments of the present application further provide an electronic device comprising: one or more processors; and a memory storing computer program instructions, wherein the computer program instructions, when executed, cause the processor to perform the steps of the method described above.

[0053] In summary, the present invention discloses an environmental simulation system and method for infrared target fusion testing. This system utilizes a microchannel heat exchange liquid crystal display, a microfluidic humidity chamber, and an adjustable attenuator-PID aerosol closed-loop system to achieve high-precision simulation of temperature, humidity, illumination, and atmospheric transparency. Incorporating a four-element coupled model of temperature, humidity, illumination, and transmittance, the system dynamically coordinates multiple environmental parameters, supporting rapid switching between complex battlefields such as deserts, jungles, and cities, significantly improving the realism and coverage of test scenarios.

[0054] Furthermore, based on an LSTM neural network, the system can predict the temperature response curve 30 seconds in advance, dynamically adjust the microchannel cooling power, and achieve temperature stability in rapidly changing environments. Furthermore, by integrating multiple indicators into a confidence model, the system generates objective quantitative scores, improving the error rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0056] Figure 1 A module diagram of an embodiment of an environmental simulation system for infrared target fusion testing provided by the present invention.

[0057] Figure 2 This is a flow chart of an embodiment of an environment simulation method for infrared target fusion testing provided by the present invention.

[0058] Figure 3 Schematic diagram of an exemplary structure of an electronic device according to the present application.

[0059] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0061] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0062] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or suggesting their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of such features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0063] See also Figure 1 The present invention discloses an environmental simulation system for infrared target fusion testing, which includes a real scene simulation unit, a humidity and illumination simulation unit, an atmospheric perspective simulation unit, a data fitting unit, a control unit and a testing unit.

[0064] The real-scene simulation unit includes a display device, which can be used to display different infrared target fusion test scenes. Specifically, the real-scene simulation unit allows the use of a microchannel heat exchange liquid crystal display with a resolution of 3840×2160 and a thermal control accuracy of ±0.2°C. The surface of the display screen integrates a temperature gradient simulation module, which optimizes the layout of the heating / cooling unit through finite element analysis and can generate a non-uniform temperature field in the target area. For example, the hot spot of a vehicle engine is simulated, with a center temperature of 80°C±0.5°C and an edge gradient attenuated to an ambient temperature of 45°C. At the same time, the display device can also be used to display infrared textures such as vegetation and sand.

[0065] Furthermore, to enhance the device's simulation performance during actual use, the real-world simulation unit includes a temperature gradient simulation module for the target area. This module optimizes the layout of the heating / cooling modules through finite element analysis and generates a temperature distribution consistent with the real-world scenario. Furthermore, a temperature sensor matrix is ​​positioned around the periphery of the display device to monitor ambient temperature fluctuations in real time and adjust the heat exchange efficiency of the microchannel heat exchange array.

[0066] The temperature and light simulation unit is located in front of the real-scene simulation unit and can be used to simulate the humidity and light environments required for the test. Specifically, the humidity and light simulation unit can be set up 1.5m in front of the display screen and contains a microfluidic humidity chamber and a multi-spectral LED matrix. The humidity range of the microfluidic humidity chamber is 10% to 95% RH, and the adjustment rate is ≤5s / 10% RH. The wavelength of the multi-spectral LED matrix is ​​400 to 1600nm, and the irradiance is 0 to 1500W / m 2 Adjustable. Furthermore, it can allow the Fresnel lens to achieve a lighting uniformity of ≥ 98%, and support day and night cycle lighting simulation.

[0067] Furthermore, the atmospheric perspective simulation unit includes adjustable attenuation plates and scattering media to dynamically adjust the projection rate of the light path, and controls the concentration of suspended particles in real time by linking the aerosol generator with the laser particle size analyzer.

[0068] Specifically, the atmospheric transparency simulation unit consists of an adjustable attenuation sheet, an aerosol generator and a laser particle size analyzer. The transmittance of the adjustable attenuation sheet is continuously adjustable from 0.1 to 0.9. The particle size of the aerosol generator is 0.1 to 10 μm and the sampling frequency of the laser particle size analyzer is 10 Hz. The concentration of suspended particles can be controlled by PID closed loop to simulate atmospheric attenuation effects such as fog, haze, and dust. Through PID closed loop control, the error of suspended particle concentration can be guaranteed to be within 5 μg / m 3 .

[0069] Furthermore, the data fitting unit is electrically connected to the real scene simulation unit, the humidity and illumination simulation unit and the atmospheric perspective simulation unit, and the data fitting unit can be used to establish a nonlinear mapping relationship between the control parameters of the display device and the environmental physical quantities.

[0070] Specifically, the data fitting unit constructs a four-element nonlinear mapping model of temperature-humidity-light-transmittance, solves the parameters of the equation group based on the least squares method, and realizes real-time mapping of the display driving voltage (0~10V) and the ambient temperature (-40℃~80℃).

[0071] Furthermore, the data fitting unit couples temperature and humidity, coordinates infrared irradiance and transmittance, and ensures the accuracy of each unit data. This allows the construction of a temperature-humidity-light-transmittance quaternary equation system, which is:

[0072] Ambient temperature: T env =f1(T screen ,H,L)

[0073] Humidity: H = f2(T screen ,humidifier power)

[0074] Infrared irradiance: L IR =f3(L vis ,filter transmission,aerosol density)

[0075] Transmittance: τ = exp(-α × aerosol density × d)

[0076] Among them, T env Characterizes the ambient temperature around the target (°C), which can directly affect the intensity of infrared radiation; T screen Characterizes the surface temperature of the display screen (°C), which can affect the ambient temperature through heat conduction and radiation; H characterizes the ambient humidity (%RH), which indirectly affects the temperature distribution by affecting the thermal conductivity of the air; L characterizes the light intensity (W / m 2 ), whose light changes the ambient temperature through the thermal radiation effect; humidifier power represents the humidifier power (W), which directly controls the water vapor release rate; L vis Characterizes the intensity of visible light source (W / m 2 ). Filter transmission represents the transmittance of the filter to the infrared band. Aerosol density represents the aerosol concentration (mg / m 3 ), such as fog, dust and other particles. And the extinction coefficient of α aerosol to infrared radiation (m 2 / mg), which is related to the particle size and material; d represents the optical path length (m), that is, the distance the radiation propagates in the aerosol.

[0077] It should be noted that the display temperature T screen Also affects T env The humidifier power and display heat dissipation need to be dynamically adjusted through closed-loop feedback. Therefore, temperature and humidity need to be coupled.

[0078] By adjusting the filter transmission and aerosol density, the infrared radiation characteristics under different atmospheric conditions (such as low transmittance in foggy weather) can be simulated to achieve synergy between infrared irradiance and transmittance.

[0079] Use high-precision sensors (such as infrared thermal imagers, hygrometers) to monitor T in real time env , H, L IR The extinction coefficient α was determined through calibration experiments and combined with the optical path length d to optimize aerosol concentration control.

[0080] It can be understood that this set of equations provides a theoretical model for the environmental simulation system, which can reproduce complex natural environments (such as high temperature in the desert and low transmittance in foggy days) through multi-parameter coordinated control, and provide a reliable basis for the evaluation of infrared fusion effects.

[0081] Furthermore, the control unit is electrically connected to the data fitting unit, and the control unit can allow the setting parameters of the real scene simulation unit, the humidity and light simulation unit, and the atmospheric perspective simulation unit to be adjusted accordingly based on the actual test environment.

[0082] The control unit integrates an LSTM neural network, which uses historical temperature series to predict future thermal responses, dynamically adjusts microchannel cooling power, and optimizes parameters based on confidence feedback from the test unit. The control unit can also train the LSTM network based on historical data, predict temperature response curves under different environmental conditions, and adjust heating / cooling power in advance.

[0083] Specifically, the LSTM neural network architecture consists of 256 hidden nodes per layer, and an attention mechanism is introduced to dynamically weight key time steps in the historical temperature series. The input layer receives four-dimensional time series data on temperature, humidity, light intensity, and transmittance over the past 60 seconds, and the output layer predicts the temperature curves of the target area and background over the next 30 seconds. Furthermore, the model can be trained on 100,000 sets of measured data, enhancing its robustness by adding Gaussian noise, random occlusion, and adversarial examples.

[0084] The testing unit acquires test parameters of target features on the display device through infrared detection and generates a confidence value for the environment simulation based on the test parameters. The control unit may generate a quantified fusion simulation effect value based on the confidence value. The effect value may be valid, invalid, or partially valid.

[0085] Furthermore, the testing unit includes an infrared thermal imaging scanner, a single-point temperature measurement module, and a time series data module. The thermal imaging scanner is used to obtain a thermal image of the display device and record the temperature distribution. The single-point temperature measurement module records continuous temperature values ​​for a specific target area, and the time series data module is used to detect temperature changes.

[0086] The test unit uses a cooled infrared thermal imager and the YOLOv5 target detection algorithm to quantitatively calculate the temperature difference ΔT between the target and the background, the gray-level co-occurrence matrix contrast, and the recognition rate drop rate, and generates a comprehensive confidence value (0-1). When the confidence value is ≥0.7, the fusion is judged to be effective.

[0087] Specifically, the test unit, during the actual test process, includes:

[0088] Step S1, obtaining the actual temperature difference ΔT between the target feature and the background;

[0089] Step S2, calculating the thermal image grayscale value contrast between the target and the background;

[0090] If ΔT is less than a preset first threshold, the surface fusion is effective; if the contrast is less than a preset second threshold, the fusion effect is good.

[0091] In some embodiments, the test unit further includes a fusion mode detection, including:

[0092] Input the thermal image into the target detection algorithm and calculate the recognition rate;

[0093] Among them, if the recognition rate drops significantly, the representation fusion method is effective.

[0094] It is worth mentioning that all modules involved in this embodiment are logical modules. In actual applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, to highlight the innovation of this application, this embodiment does not include units that are not closely related to solving the technical problems proposed by this application. However, this does not mean that other units do not exist in this embodiment.

[0095] See also Figure 2 The present invention also provides an environment simulation method for infrared target fusion testing, which includes the following steps.

[0096] Step S10: displaying a preset infrared target fusion test scene through a display device, and adjusting the temperature gradient of the display area based on the microchannel heat exchange array so that the temperature distribution conforms to the real scene.

[0097] In step S20, the ambient humidity is controlled through a closed-loop microfluidic humidity chamber, and uniform irradiation lighting conditions are generated through a multi-spectral LED matrix; the transmittance of the adjustable attenuation sheet is dynamically adjusted, and the concentration of suspended particles is controlled by combining an aerosol generator with a laser particle size analyzer to simulate different atmospheric attenuation effects.

[0098] Step S30: establishing a nonlinear mapping relationship between the display device control parameters and the environmental physical quantities.

[0099] It can be understood that by establishing a mapping relationship between the display device control parameters and the environmental physical quantities through a nonlinear equation group (temperature-humidity-light-transmittance four-element model), rapid parameter matching under multi-factor coupling conditions can be achieved.

[0100] Step S40 , training the LSTM network based on real-time environmental parameters and historical data, predicting the temperature response curve, adjusting the heating / cooling power in advance, and adjusting the microchannel heat exchange efficiency through temperature sensor matrix feedback.

[0101] Step S50: Obtain a thermal image of the target area using an infrared thermal imaging scanner and perform the following tests:

[0102] Calculate the actual temperature difference (ΔT) between the target and the background and the grayscale contrast of the thermal image;

[0103] If ΔT < the first threshold and the contrast < the second threshold, the fusion is determined to be valid;

[0104] The thermal image is input into the target detection algorithm, the decrease in recognition rate is counted, and the confidence of the fusion effect is quantified.

[0105] In step S50, a confidence value is generated by integrating the temperature difference ΔT, grayscale contrast, and target recognition rate reduction rate. ΔT < 2°C and recognition rate reduction ≥ 40% are set as the effective fusion thresholds, which can ensure a false positive rate of < 3%.

[0106] Step S60: Generate a fusion simulation effect value according to the confidence level, and iteratively optimize the environment parameter settings based on the value.

[0107] Furthermore, it also allows preset parameter templates and one-click loading of test scenarios to support batch automated testing.

[0108] It is understandable that the above method solves the core pain points of traditional infrared fusion testing, such as uncontrollable environment, strong subjectivity of evaluation, and long cycle, through high-precision environmental simulation, intelligent dynamic control, quantitative evaluation system and high-efficiency process design. It can provide a standardized and intelligent testing platform for the research and development of infrared fusion technology, so as to improve the actual combat survivability and R&D efficiency of equipment.

[0109] The steps of the above methods are divided only for the purpose of clear description. When implementing, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they contain the same logical relationship, they are all within the scope of protection of this patent. Adding insignificant modifications or introducing insignificant designs to the algorithm or process without changing the core design of the algorithm and process are also within the scope of protection of this patent.

[0110] This invention discloses an environmental simulation system and method for infrared target fusion testing. Using a microchannel heat exchange liquid crystal display, a microfluidic humidity chamber, and an adjustable attenuator-PID aerosol closed-loop system, it achieves high-precision simulation of all factors, including temperature, humidity, illumination, and atmospheric transparency. Incorporating a four-element coupled model of temperature, humidity, illumination, and transmittance, the system dynamically coordinates multiple environmental parameters, supporting rapid switching between complex battlefields such as deserts, jungles, and cities, significantly improving the realism and coverage of test scenarios.

[0111] Furthermore, based on an LSTM neural network, the system can predict the temperature response curve 30 seconds in advance, dynamically adjust the microchannel cooling power, and achieve temperature stability in rapidly changing environments. Furthermore, by integrating multiple indicators into a confidence model, the system generates objective quantitative scores, improving the error rate.

[0112] In addition, some embodiments of the present application further provide an electronic device. The electronic device may be various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, etc. The electronic device may also be various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices.

[0113] The electronic device includes: one or more processors; and a memory storing computer program instructions, wherein the computer program instructions, when executed, enable the processor to perform the steps of the method provided in any one or more of the above embodiments.

[0114] Figure 3 An exemplary structural diagram of the electronic device is disclosed.

[0115] like Figure 3As shown, the electronic device includes: one or more processors 1101, a memory 1102, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some other embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple electronic devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Among them, the components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0116] The electronic device may further include: an input device 1103 and an output device 1104. The processor 1101, the memory 1102, the input device 1103 and the output device 1104 may be connected via a bus or other means. Figure 3 The bus connection is taken as an example.

[0117] The above description is merely an exemplary embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformation made by utilizing the contents of the present invention's description and drawings under the technical concept of the present invention, or directly / indirectly applied in other related technical fields, is included in the patent protection scope of the present invention.

Claims

1. An environmental simulation system for infrared target fusion testing, characterized in that: include: A real-scene simulation unit, comprising a display device, wherein the display device can be used to display different infrared target fusion test scenes; The humidity and light simulation unit is located in front of the real-scene simulation unit and can be used to simulate the humidity and light environments required for the test; The atmospheric perspective simulation unit includes an adjustable attenuation plate and scattering medium to dynamically adjust the light path projection rate, and controls the suspended particle concentration in real time by linking the aerosol generator with the laser particle size analyzer; a data fitting unit electrically connected to the real scene simulation unit, the humidity and illumination simulation unit, and the atmospheric perspective simulation unit, and configured to establish a nonlinear mapping relationship between the control parameters of the display device and environmental physical quantities; a control unit electrically connected to the data fitting unit, wherein the control unit can adjust the setting parameters of the real scene simulation unit, the humidity and light simulation unit, and the atmospheric perspective simulation unit based on the actual test environment; as well as a testing unit, configured to obtain test parameters of target features on the display device through infrared detection, and generate a confidence value of the environment simulation based on the test parameters; The control unit may allow for the generation of a quantified fusion simulation effect value based on the confidence value.

2. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The display device in the real scene simulation unit is a liquid crystal display screen, and the liquid crystal display screen adopts a microchannel heat exchange array; The real-scene simulation unit is further provided with a temperature gradient simulation module of the target area. The temperature gradient simulation module optimizes the layout of the heating / cooling modules through finite element analysis and generates a temperature distribution that conforms to the real scene.

3. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The humidity and light simulation unit includes a microfluidic humidity chamber and a multi-spectral LED matrix; Wherein, the microfluidic humidity chamber is closed-loop controlled by a dew point sensor; and The multi-spectrum LED matrix is ​​connected to a lens for uniform irradiation.

4. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The data fitting unit is used to couple temperature and humidity, coordinate infrared irradiance and transmittance, and ensure the accuracy of data in each unit, and includes: A temperature-humidity-light-transmittance quaternary equation system is constructed, which is: Ambient temperature: T env =f1(T screen ,H,L) Humidity: H = f2 (T screen ,humidifier power) Infrared irradiance: L IR =f3(L vis ,filter transmission,aerosol density) Transmittance: τ = exp(-α × aerosol density × d) Among them, T env Characterizes the ambient temperature around the target (℃); T screen Indicates the surface temperature of the display screen (℃); H indicates the ambient humidity (%RH); L indicates the light intensity (W / m 2 );humidifier power represents the humidifier power (W); L vis Characterizes the intensity of visible light source (W / m 2 ). Filter transmission represents the transmittance of the filter to the infrared band. Aerosolsoldensity represents the aerosol concentration (mg / m 3 ); and the extinction coefficient of α aerosol to infrared radiation (m 2 / mg); d represents the optical path length (m), that is, the distance the radiation propagates in the aerosol.

5. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: A temperature sensor matrix is ​​provided on the periphery of the display device to monitor the temperature fluctuation of the environment in real time and adjust the heat exchange efficiency of the microchannel heat exchange array; Among them, the control unit can allow the LSTM network to be trained based on historical data, predict the temperature response curve under different environmental conditions, and adjust the heating / cooling power in advance.

6. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The testing unit comprises: an infrared thermal imaging scanner, which can be used to obtain a thermal image of the display device and record the temperature distribution; A single-point temperature measurement module that records continuous temperature values ​​for a specific target area; and Time series data module, which is used to detect the change process of temperature.

7. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The test unit, during the actual test process, includes: Step S1, obtaining the actual temperature difference ΔT between the target feature and the background; Step S2, calculating the thermal image grayscale value contrast between the target and the background; If ΔT is less than a preset first threshold, the surface fusion is effective; if the contrast is less than a preset second threshold, the fusion effect is good.

8. The environmental simulation system for infrared target fusion testing according to claim 1, characterized in that: The test unit also includes fusion mode detection, including: Input the thermal image into the target detection algorithm and calculate the recognition rate; Among them, if the recognition rate drops significantly, the representation fusion method is effective.

9. An environmental simulation method for infrared target fusion testing, characterized in that: include: Step S10, displaying a preset infrared target fusion test scene on a display device, and adjusting the temperature gradient of the display area based on the microchannel heat exchange array so that the temperature distribution conforms to the real scene; Step S20, controlling the ambient humidity through a closed-loop microfluidic humidity chamber, and generating uniform irradiation lighting conditions through a multi-spectral LED matrix; The transmittance of the adjustable attenuation sheet is dynamically adjusted, and the concentration of suspended particles is controlled by combining the aerosol generator with the laser particle size analyzer to simulate different atmospheric attenuation effects; Step S30, establishing a nonlinear mapping relationship between the display device control parameters and the environmental physical quantities; Step S40, training the LSTM network based on real-time environmental parameters and historical data, predicting the temperature response curve, adjusting the heating / cooling power in advance, and adjusting the microchannel heat exchange efficiency through temperature sensor matrix feedback; Step S50: Obtain a thermal image of the target area using an infrared thermal imaging scanner and perform the following tests: Calculate the actual temperature difference between the target and the background and the grayscale contrast of the thermal image; If the actual temperature difference is less than the first threshold and the contrast is less than the second threshold, the fusion is determined to be effective; Input the thermal image into the target detection algorithm, calculate the decrease in recognition rate, and quantify the confidence of the fusion effect; Step S60: Generate a fusion simulation effect value according to the confidence level, and iteratively optimize the environment parameter settings based on the effect value.

10. An electronic device, characterized in that: The electronic device comprises: one or more processors; and A memory storing computer program instructions, which, when executed, cause the processor to perform the environmental simulation method steps for infrared target fusion testing of the method as claimed in claim 9.

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