Evaluation method and system for physical effect simulation of infrared scenes using semi-physical simulation

Abstract

The present invention provides an evaluation method and system for the simulation effect of the physical effects of infrared scenes in a semi-physical simulation, including: establishing an evaluation index system for the simulation effect of the physical effects of infrared scenes, and performing evaluation according to the evaluation index system; specifically including: analyzing various influencing factors that affect the semi-physical simulation effect of infrared scenes; establishing corresponding evaluation indicators according to the analysis of each type of influencing factors; and establishing the evaluation index system by integrating the evaluation indicators. The present invention takes into account factors such as the actual scene simulation effect and the detection system perception effect, so that the target / environment simulation in the semi-physical simulation test is more consistent with the actual sensitive information of the test detection system, which is conducive to verifying the target recognition algorithm based on the detection system. It can effectively adapt to the simulator performance evaluation of different semi-physical simulation systems.

Description

Technical Field

[0001] The present invention relates to the technical field of semi-physical simulation of aircraft, and in particular to an evaluation method and system for simulating the physical effects of infrared scenes in semi-physical simulation. Background Art

[0002] Hardware-in-the-loop simulation of complex infrared scenes has been a key focus in recent years in the design and development of complex systems in aerospace, aviation, and marine applications. Accurately evaluating the effectiveness of infrared scene physical effects simulation is fundamental to conducting high-confidence hardware-in-the-loop simulation experiments. Developing an effective and cost-effective evaluation scheme for hardware-in-the-loop simulation of infrared scene physical effects is a crucial prerequisite for conducting high-confidence hardware-in-the-loop simulation experiments.

[0003] At present, the evaluation schemes for simulating the physical effects of infrared scenes adopted by simulation systems at home and abroad mostly directly use the test results of the infrared scene simulator's own performance. For example, patent document CN108204888A evaluates the performance of dynamic scene simulators. However, it does not consider the influence of the target radiation characteristic model, the detection system perception characteristics, and the coupling effect between the infrared scene simulator performance and the above factors on the final simulation effect of the infrared scene physical effects. A set of evaluation schemes that can comprehensively consider the simulator's own performance, the target radiation characteristic model, the detection system perception characteristics, and the coupling effect between them has not yet been formed. Summary of the Invention

[0004] In view of the defects in the prior art, the purpose of the present invention is to provide a method and system for evaluating the simulation effect of physical effects of semi-physical simulation of infrared scenes.

[0005] According to the evaluation method of the semi-physical simulation of infrared scene physical effects provided by the present invention, an evaluation index system for the simulation of infrared scene physical effects is established, and evaluation is performed according to the evaluation index system;

[0006] The step of establishing an evaluation index system for infrared scene physical effect simulation includes:

[0007] Steps for analyzing various factors that affect the effect of hardware-in-the-loop simulation of infrared scenes;

[0008] According to the analysis of each type of influencing factors, the steps of establishing corresponding evaluation indicators are respectively;

[0009] The evaluation index system is established by comprehensively considering the evaluation indexes.

[0010] Preferably, the influencing factor analysis includes: simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching analysis, scene physical effect and detection system perception characteristic matching analysis, and detection system perception characteristic analysis.

[0011] Preferably, the evaluation indicators include:

[0012] Simulator performance indicators, corresponding to simulator performance analysis;

[0013] Scenario model accuracy index, corresponding to scenario model accuracy analysis;

[0014] The simulator-model matching index corresponds to the matching analysis between the simulator performance and the scenario model;

[0015] The matching index between scene simulation and detection perception corresponds to the matching analysis between scene physical effects and detection system perception characteristics, and the detection system perception characteristics analysis.

[0016] Preferably, the scene model accuracy index includes: scene radiation characteristics;

[0017] The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity;

[0018] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into spatial variation range, spatial variation trend, spatial variation amplitude, and spatial variation speed indicators according to the spatial distribution characteristics;

[0019] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into time change range, time change trend, time change amplitude, and time change speed indicators according to the time distribution characteristics.

[0020] Preferably, the simulator performance indicators include: simulator overall indicators, optical system indicators, radiation source and control system indicators, and auxiliary supporting device indicators;

[0021] The overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, and continuous working time;

[0022] The optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc.; wherein, the imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration;

[0023] The radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, and energy control delay;

[0024] The auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, and vacuum requirements.

[0025] Preferably, the scene simulation and detection perception matching index includes: extracting the grayscale gradient of the quasi-target image from the grayscale distribution of the scene image, and analyzing it from two perception perspectives: target size and target energy; wherein, the quasi-target size extracts the size change rate, and then extracts the motion trajectory of the true and false targets; the quasi-target energy extracts the energy change rate, and then extracts the energy ratio of the true and false targets.

[0026] Preferably, the step of evaluating according to the evaluation index system includes:

[0027] Establishing testing and analysis methods for physical effect simulations, and obtaining evaluation data through relevant testing and analysis;

[0028] A step of selecting a matching indicator from the evaluation indicator system, evaluating the evaluation data, and obtaining an evaluation result of a simulation effect of the infrared scene physical effect;

[0029] The step of analyzing the evaluation results.

[0030] According to the present invention, a semi-physical simulation infrared scene physical effect evaluation system is provided, comprising:

[0031] A module for establishing an evaluation index system for the simulation of physical effects of infrared scenes;

[0032] A module for evaluation according to the evaluation indicator system;

[0033] The module for establishing an evaluation index system for infrared scene physical effect simulation includes:

[0034] A module that analyzes various factors that affect the effect of hardware-in-the-loop simulation of infrared scenes;

[0035] According to the analysis of each type of influencing factors, corresponding evaluation indicator modules are established respectively;

[0036] The evaluation index system is established by comprehensively considering the evaluation indexes.

[0037] Preferably, the influencing factor analysis includes: simulator performance analysis, scenario model accuracy analysis, simulator performance and scenario model matching analysis, scenario physical effect and detection system perception characteristic matching analysis, and detection system perception characteristic analysis;

[0038] The evaluation indicators include:

[0039] Simulator performance indicators, corresponding to simulator performance analysis;

[0040] Scenario model accuracy index, corresponding to scenario model accuracy analysis;

[0041] The simulator-model matching index corresponds to the matching analysis between the simulator performance and the scenario model;

[0042] The matching index between scene simulation and detection perception corresponds to the matching analysis between scene physical effects and detection system perception characteristics, and the detection system perception characteristics analysis;

[0043] The scene model accuracy index includes: scene radiation characteristics;

[0044] The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity;

[0045] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into spatial variation range, spatial variation trend, spatial variation amplitude, and spatial variation speed indicators according to the spatial distribution characteristics;

[0046] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into time variation range, time variation trend, time variation amplitude, and time variation speed indicators according to the time distribution characteristics;

[0047] The simulator performance indicators include: overall simulator indicators, optical system indicators, radiation source and control system indicators, and auxiliary equipment indicators;

[0048] The overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, and continuous working time;

[0049] The optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc.; wherein, the imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration;

[0050] The radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, and energy control delay;

[0051] The auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, and vacuum requirements;

[0052] The scene simulation and detection perception matching index includes: extracting the grayscale gradient of the quasi-target image from the grayscale distribution of the scene image, and analyzing it from two perception perspectives: target size and target energy. Among them, the quasi-target size extracts the size change rate, and then extracts the motion trajectory of the true and false targets; the quasi-target energy extracts the energy change rate, and then extracts the energy ratio of the true and false targets.

[0053] Preferably, the module for performing evaluation according to the evaluation index system includes:

[0054] A module that establishes testing and analysis methods for physical effect simulation and obtains evaluation data through relevant testing and analysis;

[0055] A module for selecting matching indicators from the evaluation indicator system, evaluating the evaluation data, and obtaining an evaluation result of the simulation effect of the infrared scene physical effect;

[0056] A module for analyzing the evaluation results.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The method provided by the present invention performs performance evaluation of a semi-physical simulation target simulation system, taking into account factors such as the actual scene simulation effect and the detection system's perception effect. This makes the target / environment simulation in the semi-physical simulation test more consistent with the actual sensitive information of the tested detection system, which is conducive to verifying the target recognition algorithm based on the detection system;

[0059] 2. The infrared scene physical effect simulation evaluation index system proposed in the present invention takes into account the matching between the simulator and the target characteristic model, and can fully utilize the performance of the simulation target simulator to match the model accuracy with the simulator performance, thereby avoiding unnecessary and excessive demands on the simulator performance and model accuracy, and reducing the cost of simulator development and target characteristic modeling.

[0060] 3. The present invention can effectively adapt to the simulator performance evaluation of different semi-physical simulation systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0062] Figure 1 It is a flowchart of the evaluation method for simulating the physical effects of infrared scenes using semi-physical simulation.

[0063] Figure 2 It is a flowchart of the method for establishing an evaluation index system for infrared scene physical effect simulation.

[0064] Figure 3 This is a schematic diagram of the main factors affecting the simulation of infrared scene physical effects and their corresponding evaluation indicators.

[0065] Figure 4 It is a schematic diagram of the decomposition of simulator performance indicators.

[0066] Figure 5 This is a schematic diagram of the decomposition of scenario model indicators.

[0067] Figure 6 It is a schematic diagram of the decomposition of simulator and model matching indicators. DETAILED DESCRIPTION

[0068] The present invention will be described in detail below with reference to specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those skilled in the art, several changes and improvements can be made without departing from the scope of the present invention. These all fall within the scope of protection of the present invention.

[0069] The evaluation scheme of the infrared scene physical effect simulation effect of the present invention provides a comprehensive simulator equipment performance, target radiation characteristic model and detection system perception characteristics and other factors, as well as the coupling effect between these factors on the final simulation effect of the infrared scene physical effect, to effectively evaluate the infrared scene physical effect simulation effect.

[0070] The present invention provides an evaluation method for semi-physical simulation of infrared scene physical effects, comprising:

[0071] Step S1: Establishing an evaluation index system for infrared scene physical effect simulation;

[0072] Step S2: Establishing a test and analysis method for the physical effect simulation effect, and obtaining evaluation data through relevant testing and analysis;

[0073] Step S3: Select a matching evaluation method and calculate the evaluation index;

[0074] Step S4: Select a matching index comprehensive method to evaluate the simulation effect of the infrared scene physical effect;

[0075] Step S5: analyzing the evaluation results of the simulation effect of the infrared scene physical effect.

[0076] By adopting the method provided by the present invention to evaluate the simulation effect of the physical effect of the semi-physical simulation infrared scene, the simulation conditions can be fully utilized and the fidelity of the objective evaluation scene simulation can be improved.

[0077] like Figure 2 、 Figure 3 As shown, in the step S1, the process of establishing an infrared scene physical effect simulation effect evaluation index system includes: first, analyzing the influencing factors of the infrared scene physical effect simulation effect, and the influencing factor analysis specifically includes: simulator performance analysis, scene model accuracy analysis, simulator performance and scene model matching analysis, scene physical effect and detection system perception characteristic matching analysis, and detection system perception characteristic analysis; then, respectively obtaining the simulator performance index, scene model accuracy index, simulator and model matching index, and scene simulation and detection perception matching index; finally, comprehensively combining the above-mentioned indicators to establish an infrared scene physical effect effect evaluation index system.

[0078] like Figure 5 As shown, the scene model accuracy indicators corresponding to the scene model accuracy analysis include: scene radiation characteristics. The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity;

[0079] Furthermore, the radiation spectrum, polarization characteristics, and radiation energy intensity can be decomposed into indicators such as spatial change range, spatial change trend, spatial change amplitude, and spatial change speed according to the spatial distribution characteristics; the radiation spectrum, polarization characteristics, and radiation energy intensity can be decomposed into indicators such as temporal change range, temporal change trend, temporal change amplitude, and temporal change speed according to the temporal distribution characteristics.

[0080] like Figure 4 As shown, the simulator performance indicators corresponding to the simulator performance analysis include: simulator overall indicators, optical system indicators, radiation source and control system indicators, and auxiliary supporting device indicators;

[0081] Furthermore, the overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, continuous working time, etc.

[0082] Optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc. Typical imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, spot energy concentration, etc.

[0083] Radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, energy control delay, etc.

[0084] Auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, vacuum requirements, etc.

[0085] like Figure 6 As shown in FIG, the scene simulation and detection perception matching indicators corresponding to the scene physical effect and detection system perception characteristic matching analysis and the detection system perception feature analysis include: further extracting the quasi-target image grayscale gradient from the scene image grayscale distribution, and analyzing them from the two perception perspectives of target size and target energy respectively. Among them, the quasi-target size can be further used to extract the size change rate, and then the motion trajectory of the true and false targets can be extracted; the quasi-target energy can be further used to extract the energy change rate, and then the energy ratio of the true and false targets can be extracted.

[0086] The present invention will be described in more detail below.

[0087] The step S1 comprises:

[0088] Step 1.1: Analyze various factors that affect the effect of infrared scene semi-physical simulation;

[0089] Step 1.2: Based on the analysis of various influencing factors, establish corresponding evaluation indicators;

[0090] Step 1.3: Establish a corresponding indicator synthesis method based on the characteristics and interrelationships of each evaluation indicator;

[0091] Step 1.4: Complete the construction of the infrared scene semi-physical simulation effect evaluation index system.

[0092] The step 1.1 includes:

[0093] Step 1.1.1: Perform simulator performance analysis;

[0094] Step 1.1.2: Perform accuracy analysis of the scene model;

[0095] Step 1.1.3: Analyze the matching degree between simulator performance and scenario model;

[0096] Step 1.1.4: Analyze the matching degree between the scene physical effects and the detection system’s perception characteristics;

[0097] Step 1.1.5: Analyze the detection system’s perception characteristics.

[0098] The step 1.2 includes:

[0099] Step 1.2.1: Establish simulator performance indicators based on simulator performance analysis results;

[0100] Step 1.2.2: Based on the accuracy analysis results of the scenario model, establish the model accuracy index;

[0101] Step 1.2.3: Based on the matching analysis results of the simulator performance and the scenario model, establish the matching index between the simulator and the model;

[0102] Step 1.2.4: Based on the results of the matching analysis between the scene physical effects and the detection system perception characteristics, and the results of the detection system perception characteristics analysis, establish the matching index between the scene simulation and the detection perception.

[0103] The step 1.2.1 includes:

[0104] Step 1.2.1.1: Divide the simulator performance indicators into overall indicators, optical system indicators, radiation source and control system indicators, and auxiliary equipment indicators;

[0105] Step 1.2.1.2: Further break down the overall indicators into specific indicators such as volume, weight, simulator operating band, exit pupil irradiance range, refresh rate, preparation time, and continuous working time;

[0106] Step 1.2.1.3: Further decompose the optical system indicators into specific indicators such as the optical system operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, and optical system transmittance. Among them, imaging quality is further decomposed into specific indicators such as temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration.

[0107] Step 1.2.1.4: Further decompose the radiation source and control system indicators into specific indicators such as background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation source size, minimum energy, maximum energy, energy stability, maximum energy change rate, energy control accuracy, and energy control delay time;

[0108] Step 1.2.1.5: Further decompose the auxiliary equipment indicators into specific indicators such as power supply requirements, cooling temperature, ambient temperature and humidity control requirements, cable length, vacuum requirements, etc.

[0109] The step 1.2.2 includes:

[0110] Step 1.2.2.1: Decompose the scene radiation characteristics into indicators such as radiation spectrum, polarization characteristics, and radiation energy intensity;

[0111] Step 1.2.2.2: Further decompose the radiation spectrum, polarization characteristics, and radiation energy intensity indicators in step 1.2.2.1 from the perspectives of spatial distribution and temporal distribution.

[0112] Step 1.2.2.3: From the spatial distribution dimension, decompose the radiation spectrum, polarization characteristics, and radiation energy intensity indicators according to the change range, change trend, change amplitude, and change speed;

[0113] Step 1.2.2.4: From the time distribution dimension, decompose the radiation spectrum, polarization characteristics, and radiation energy intensity indicators according to the change range, change trend, change amplitude, and change speed.

[0114] The step 1.2.3 includes:

[0115] Step 1.2.3.1: Extract the grayscale distribution of the quasi-target image from the grayscale distribution data of the scene image;

[0116] Step 1.2.3.2: Decompose the grayscale distribution data of the quasi-target image into a quasi-target size index and a quasi-target energy index;

[0117] Step 1.2.3.3: Extract the quasi-target size change rate from the dynamic and continuous change of the quasi-target size, and then further extract the motion trajectory of the true and false targets;

[0118] Step 1.2.3.4: Extract the quasi-target energy change rate from the dynamic continuous change of the quasi-target energy, and then further extract the true and false target energy ratio.

[0119] The present invention also provides a system for evaluating the simulation effect of physical effects of semi-physical simulation infrared scenes. Those skilled in the art can implement the system by executing the steps of the method for evaluating the simulation effect of physical effects of semi-physical simulation infrared scenes. That is, the method for evaluating the simulation effect of physical effects of semi-physical simulation infrared scenes can be understood as a preferred embodiment of the system for evaluating the simulation effect of physical effects of semi-physical simulation infrared scenes. Specifically, the system for evaluating the simulation effect of physical effects of semi-physical simulation infrared scenes provided by the present invention includes:

[0120] A module for establishing an evaluation index system for the simulation of physical effects of infrared scenes;

[0121] A module for evaluation according to the evaluation indicator system;

[0122] The module for establishing an evaluation index system for infrared scene physical effect simulation includes:

[0123] A module that analyzes various factors that affect the effect of hardware-in-the-loop simulation of infrared scenes;

[0124] According to the analysis of each type of influencing factors, corresponding evaluation indicator modules are established respectively;

[0125] The evaluation index system is established by comprehensively considering the evaluation indexes.

[0126] The analysis of influencing factors includes: simulator performance analysis, scenario model accuracy analysis, simulator performance and scenario model matching analysis, scenario physical effect and detection system perception characteristics matching analysis, and detection system perception characteristics analysis;

[0127] The evaluation indicators include:

[0128] Simulator performance indicators, corresponding to simulator performance analysis;

[0129] Scenario model accuracy index, corresponding to scenario model accuracy analysis;

[0130] The simulator-model matching index corresponds to the matching analysis between the simulator performance and the scenario model;

[0131] The matching index between scene simulation and detection perception corresponds to the matching analysis between scene physical effects and detection system perception characteristics, and the detection system perception characteristics analysis;

[0132] The scene model accuracy index includes: scene radiation characteristics;

[0133] The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity;

[0134] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into spatial variation range, spatial variation trend, spatial variation amplitude, and spatial variation speed indicators according to the spatial distribution characteristics;

[0135] The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into time variation range, time variation trend, time variation amplitude, and time variation speed indicators according to the time distribution characteristics;

[0136] The simulator performance indicators include: overall simulator indicators, optical system indicators, radiation source and control system indicators, and auxiliary equipment indicators;

[0137] The overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, and continuous working time;

[0138] The optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc.; wherein, the imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration;

[0139] The radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, and energy control delay;

[0140] The auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, and vacuum requirements;

[0141] The scene simulation and detection perception matching index includes: extracting the grayscale gradient of the quasi-target image from the grayscale distribution of the scene image, and analyzing it from two perception perspectives: target size and target energy. Among them, the quasi-target size extracts the size change rate, and then extracts the motion trajectory of the true and false targets; the quasi-target energy extracts the energy change rate, and then extracts the energy ratio of the true and false targets.

[0142] The module for performing evaluation according to the evaluation index system includes:

[0143] A module that establishes testing and analysis methods for physical effect simulation and obtains evaluation data through relevant testing and analysis;

[0144] A module for selecting matching indicators from the evaluation indicator system, evaluating the evaluation data, and obtaining an evaluation result of the simulation effect of the infrared scene physical effect;

[0145] A module for analyzing the evaluation results.

[0146] Those skilled in the art will appreciate that, in addition to implementing the system, device, and various modules provided by the present invention in purely computer-readable program code, it is entirely possible to implement the same program in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, embedded microcontrollers, and the like by logically programming the method steps. Therefore, the system, device, and various modules provided by the present invention can be considered a hardware component, and the modules included therein for implementing various programs can also be considered structures within the hardware component; the modules for implementing various functions can also be considered both software programs for implementing the method and structures within the hardware component.

[0147] The above describes specific embodiments of the present invention. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art may make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. The embodiments of this application and the features in the embodiments may be combined with each other in any manner unless there is a conflict.

Claims

1. A method for evaluating the physical effect of a semi-physical simulation of an infrared scene, characterized in that: Establishing an evaluation index system for the simulation effect of infrared scene physical effects, and conducting evaluation based on the evaluation index system; The step of establishing an evaluation index system for infrared scene physical effect simulation results includes: Steps for analyzing various factors that affect the effect of hardware-in-the-loop simulation of infrared scenes; According to the analysis of each type of influencing factors, the steps of establishing corresponding evaluation indicators are respectively; Establishing the evaluation indicator system by integrating the evaluation indicators; The analysis of influencing factors includes: simulator performance analysis, scenario model accuracy analysis, simulator performance and scenario model matching analysis, scenario physical effect and detection system perception characteristics matching analysis, and detection system perception characteristics analysis; The evaluation indicators include: Simulator performance indicators, corresponding to simulator performance analysis; Scenario model accuracy index, corresponding to scenario model accuracy analysis; The simulator-model matching index corresponds to the matching analysis between the simulator performance and the scenario model; The matching index between scene simulation and detection perception corresponds to the matching analysis between scene physical effects and detection system perception characteristics, and the detection system perception characteristics analysis.

2. The method for evaluating the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 1, wherein: The scene model accuracy index includes: scene radiation characteristics; The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity; The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into spatial variation range, spatial variation trend, spatial variation amplitude, and spatial variation speed indicators according to the spatial distribution characteristics; The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into time change range, time change trend, time change amplitude, and time change speed indicators according to the time distribution characteristics.

3. The method for evaluating the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 1, wherein: The simulator performance indicators include: overall simulator indicators, optical system indicators, radiation source and control system indicators, and auxiliary equipment indicators; The overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, and continuous working time; The optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc. Among them, the imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration; The radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, and energy control delay; The auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, and vacuum requirements.

4. The method for evaluating the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 1, wherein: The scene simulation and detection perception matching index includes: extracting the grayscale gradient of the quasi-target image from the grayscale distribution of the scene image, and analyzing it from two perception perspectives: target size and target energy. Among them, the quasi-target size extracts the size change rate, and then extracts the motion trajectory of the true and false targets; the quasi-target energy extracts the energy change rate, and then extracts the energy ratio of the true and false targets.

5. The method for evaluating the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 1, wherein: The step of evaluating according to the evaluation index system includes: Establishing testing and analysis methods for physical effect simulations, and obtaining evaluation data through relevant testing and analysis; A step of selecting a matching indicator from the evaluation indicator system, evaluating the evaluation data, and obtaining an evaluation result of a simulation effect of the infrared scene physical effect; The step of analyzing the evaluation results.

6. A semi-physical simulation infrared scene physical effect evaluation system, characterized by: include: A module for establishing an evaluation index system for the simulation of physical effects of infrared scenes; A module for evaluation according to the evaluation indicator system; The module for establishing an evaluation index system for infrared scene physical effect simulation includes: A module that analyzes various factors that affect the effect of hardware-in-the-loop simulation of infrared scenes; According to the analysis of each type of influencing factors, corresponding evaluation indicator modules are established respectively; Establishing the evaluation indicator system by integrating the evaluation indicators; The analysis of influencing factors includes: simulator performance analysis, scenario model accuracy analysis, simulator performance and scenario model matching analysis, scenario physical effect and detection system perception characteristics matching analysis, and detection system perception characteristics analysis; The evaluation indicators include: Simulator performance indicators, corresponding to simulator performance analysis; Scenario model accuracy index, corresponding to scenario model accuracy analysis; The simulator-model matching index corresponds to the matching analysis between the simulator performance and the scenario model; The matching index between scene simulation and detection perception corresponds to the matching analysis between scene physical effects and detection system perception characteristics, and the detection system perception characteristics analysis.

7. The evaluation system for the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 6, characterized in that: The scene model accuracy index includes: scene radiation characteristics; The scene radiation characteristics include: radiation spectrum, polarization characteristics, and radiation energy intensity; The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into spatial variation range, spatial variation trend, spatial variation amplitude, and spatial variation speed indicators according to the spatial distribution characteristics; The radiation spectrum, polarization characteristics, and radiation energy intensity are decomposed into time variation range, time variation trend, time variation amplitude, and time variation speed indicators according to the time distribution characteristics; The simulator performance indicators include: overall simulator indicators, optical system indicators, radiation source and control system indicators, and auxiliary equipment indicators; The overall indicators of the simulator include: volume, weight, working band, exit pupil irradiance range, refresh frequency, preparation time, and continuous working time; The optical system indicators include: operating band, optical field of view, exit pupil size, exit pupil position, beam parallelism, imaging quality, stray light suppression capability, optical axis pointing accuracy, optical transmittance, etc. Among them, the imaging quality indicators include temperature adaptability, diffuse spot size, modulation transfer function, distortion, and spot energy concentration; The radiation source and control system indicators include: background equivalent temperature, maximum equivalent temperature, image resolution, pixel size, pixel duty cycle, bad pixel rate, image frame rate, effective radiation time within a frame, radiation band, radiation source size, minimum radiation energy, maximum radiation energy, radiation energy stability, energy change rate range, energy control accuracy, and energy control delay; The auxiliary equipment indicators include: power supply requirements, cooling temperature, ambient temperature control requirements, cable length, and vacuum requirements; The scene simulation and detection perception matching index includes: extracting the grayscale gradient of the quasi-target image from the grayscale distribution of the scene image, and analyzing it from two perception perspectives: target size and target energy. Among them, the quasi-target size extracts the size change rate, and then extracts the motion trajectory of the true and false targets; the quasi-target energy extracts the energy change rate, and then extracts the energy ratio of the true and false targets.

8. The evaluation system for the physical effect simulation of a hardware-in-the-loop infrared scene according to claim 7, characterized in that: The module for performing evaluation according to the evaluation index system includes: A module that establishes testing and analysis methods for physical effect simulation and obtains evaluation data through relevant testing and analysis; A module for selecting matching indicators from the evaluation indicator system, evaluating the evaluation data, and obtaining an evaluation result of the simulation effect of the infrared scene physical effect; A module for analyzing the evaluation results.

Images