A simulation system for monitoring satellite optical equipment and a method thereof

Abstract

The application discloses a simulation system and method for monitoring satellite optical equipment, and belongs to the technical field of spacecraft simulation. The system comprises a target and scene editing module, a portable simulation video control module and a simulation video interface protocol conversion module. The target and scene editing module generates a simulation image sequence through full-link modeling; the portable simulation video control module sets simulation parameters and generates control commands; and the simulation video interface protocol conversion module receives the commands and the image sequence, generates a real-time simulation video stream and injects the real-time simulation video stream into the monitored satellite optical equipment. The application constructs a closed-loop technical scheme from scene modeling to performance evaluation, realizes repeatable, quantitative and accurate testing and effective evaluation of the tracking and identification capability of the satellite optical equipment in a laboratory environment, and overcomes the technical limitations of high cost, long cycle and non-repeatability of field live ammunition testing.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of spacecraft simulation, in particular to a simulation system for monitoring satellite optical equipment and a method thereof. BACKGROUND

[0002] With the rapid iteration of space equipment and the upgrading of actual combat examination requirements, space-based monitoring satellites have gradually become the core nodes of full-range monitoring of rocket launch segments, on-orbit target patrol, and space situation awareness. Compared with ground-based photoelectric measurement and control equipment, space-based platforms have the advantages of wide observation angle, no restriction by weather and region, etc., but once the optical tracking and identification subsystem of the space-based platform is launched into orbit, it faces the dilemma of being unable to be "retested with physical objects". On-orbit testing opportunities are rare, risky, and costly, and it is difficult to reproduce the boundary conditions under complex airspace, complex lighting, and complex radiation conditions. Therefore, how to completely, realistically, and repeatedly verify the detection, tracking, and identification link performance of space-based monitoring satellites on the ground, and establish a quantitative evaluation system covering the entire chain of "target-background-atmosphere-detector", has become a key link for shortening the satellite development cycle, reducing on-orbit failure rate, and improving the comprehensive efficiency of equipment testing and identification.

[0003] In the prior art, traditional optical remote sensing satellites mainly face static ground scenes, and their test verification methods are mostly based on ground targets and field star observation: large-area targets are laid on the ground, or natural celestial bodies such as stars and planets are imaged under specific weather windows to evaluate the static modulation transfer function (MTF), signal-to-noise ratio (SNR), and radiation calibration coefficient of the camera. However, the core task of monitoring satellites has shifted from visibility to holding, distinguishing, and following, and the optical load needs to achieve continuous and high-precision imaging and parameter inversion of cooperative / non-cooperative targets under complex space lighting conditions, high dynamic angular velocity, strong vibration, and thermal disturbance coupling environment. For example, a patent document proposes a light signal injection simulation scheme, which works as follows: first, according to the motion trajectory of the simulation target and the tracking performance of the theodolite, the possible spatial mapping relationship between the theodolite and the target during tracking is calculated, and the corresponding target and scene are projected by the target simulator. After the theodolite takes a picture, a target and scene image database is established; second, during simulation testing, the spatial mapping relationship and relative motion speed between the theodolite tracking axis and the target are measured and calculated, the stored target scene images are called, the images are processed for motion blur effect according to the relative speed, and then injected into the theodolite video acquisition processor, finally realizing the theodolite light signal injection simulation test.

[0004] The above-mentioned field scheme has the following common problems: with the continuous improvement of monitoring satellite technical indicators, the traditional "light signal injection" scheme has obvious shortcomings when facing "space-based wide field of view, high dynamics, and weak radiation contrast" applications:

[0005] The controllability and repeatability of the test are poor, the angular size, spectral distribution, polarization characteristics and motion trajectory of the natural target (star, planet, moon edge, etc.) cannot be adjusted, and a wide dynamic range from "weak target" to "high contrast target" cannot be covered; once field observation is often limited by weather, moon phase, and atmospheric seeing, it is difficult to obtain a statistically valid sample in a short time, resulting in long test period and high cost.

[0006] Multi-dimensional information coupling is difficult, spatial targets not only have geometric contour characteristics, but also have attitude rolling, surface material difference, temperature gradient and reflectivity change, resulting in dramatic fluctuations of their visible light, near-infrared and short-wave infrared radiation characteristics within a millisecond time scale. The traditional target cannot synchronously output "geometry-radiation-spectrum-polarization-angle motion" five-dimensional information, and it is difficult to support the fine radiation calibration of optical equipment and the establishment of feature library.

[0007] Therefore, a simulation system for monitoring satellite optical equipment and a method thereof are needed to solve one of the above technical problems. SUMMARY

[0008] The purpose of the present application is to provide a simulation system for monitoring satellite optical equipment and a method thereof, which can solve at least one of the above technical problems. The specific scheme is as follows:

[0009] According to the specific embodiment of the present application, the present application provides a simulation system for monitoring satellite optical equipment, comprising:

[0010] A target and scene editing module for constructing and outputting a plurality of types of simulation image sequences;

[0011] A portable simulation video control module connected with the target and scene editing module for setting simulation parameters and sending control commands; the simulation parameters at least include: simulation target, environment background, target trajectory, target attitude;

[0012] A simulation video interface protocol conversion module connected with the portable simulation video control module and the target and scene editing module respectively for receiving the control commands and the simulation image sequences, and generating real-time simulation video stream.

[0013] Further, the target and scene editing module comprises:

[0014] A target modeling unit for providing target radiation characteristic calculation function to form a spectral radiation characteristic database of the target;

[0015] A background modeling unit for realizing background radiation characteristic transformation under different environmental conditions;

[0016] a fusion modeling unit, connected with the target modeling unit and the background modeling unit, for fusing the target and the background;

[0017] a scene real-time rendering unit, connected with the fusion modeling unit, for real-time rendering the fused scene to generate the simulation image sequence.

[0018] Further, the target and scene editing module further comprises:

[0019] a biasing modeling unit, connected between the fusion modeling unit and the scene real-time rendering unit, for performing random biasing processing on the fused scene data to construct a boundary condition test scene.

[0020] Further, the target and scene editing module further comprises:

[0021] a detector full-link modeling unit, connected with the scene real-time rendering unit, for simulating the whole process from scene optical signal to image sensor output signal.

[0022] Further, the portable simulation video control module comprises:

[0023] a parameter loading unit, for receiving the simulation target, environment background, ballistic data and target attitude parameters input by a user;

[0024] a control command generation unit, connected with the parameter loading unit, for generating the control command of the parameters and loading the control command to the simulation video interface protocol conversion module through a network.

[0025] Further, the simulation video interface protocol conversion module comprises:

[0026] an embedded simulation control unit, for receiving and analyzing the control command of the portable simulation video control module;

[0027] a memory unit, connected with the embedded simulation control unit, for storing the simulation image sequence and ballistic data generated by the target and scene editing module;

[0028] a video output interface unit, connected with the embedded simulation control unit, for converting the simulation image sequence into a standard video interface protocol signal and outputting the standard video interface protocol signal as the real-time simulation video stream according to the analyzed control command.

[0029] Further, the simulation system further comprises:

[0030] The information collection and evaluation module is configured in cooperation with the simulation video interface protocol conversion module, and is used to collect state information generated by the external monitored satellite optical equipment when tracking and processing according to the real-time simulation video stream, and generate a performance evaluation report based on the state information.

[0031] Further, the information collection and evaluation module comprises:

[0032] The data collection unit is used to receive the state information through a standard communication interface.

[0033] The report generation unit is connected with the data collection unit, and is used to analyze the state information and generate an evaluation report containing tracking performance and target recognition capability indicators.

[0034] Further, the simulation system further comprises:

[0035] The working mode switching module is used to switch the output enable of the real-time simulation video stream through a software control command, so as to select a simulation test mode or a device debugging mode.

[0036] According to the specific embodiments of the present application, the present application also provides a simulation method of a monitoring satellite optical equipment, comprising:

[0037] Constructing a plurality of types of simulation image sequences;

[0038] Setting simulation target, environment background, target trajectory and target attitude parameters, and generating control commands according to the parameters;

[0039] Generating a real-time simulation video stream according to the control commands and the simulation image sequences;

[0040] Outputting the real-time simulation video stream to the monitored optical equipment;

[0041] Collecting tracking state information generated by the monitored optical equipment after receiving the real-time simulation video stream;

[0042] Generating a performance evaluation report of the monitored optical equipment based on the tracking state information.

[0043] Compared with the prior art, the above-mentioned scheme of the present application has at least the following beneficial effects:

[0044] 1. The simulation system and method of a monitoring satellite optical equipment provided by the present application establish a full-link digital model through a target and scene editing module, break through the technical bottleneck of a traditional optical signal injection limited by an optical projection range, can completely simulate a full-process trajectory from target emission to orbit insertion and various complex environmental conditions, and solve the core problem of "inability to simulate a full-trajectory of a spacecraft" of the prior art.

[0045] 2. The simulation system for monitoring satellite optical equipment and the simulation method thereof according to the embodiments of the present application provide a technical route combining quantitative modeling and random polarization, establish an infrared intrinsic radiation model with high confidence through field test data calibration, and simulate target characteristic fluctuation and boundary conditions by using polarization processing, thus overcoming the defects of the prior art, i.e., lacking the ability to construct multiple types of simulation targets and complex environment models and being unable to perform confidence evaluation.

[0046] 3. The simulation system for monitoring satellite optical equipment and the simulation method thereof according to the embodiments of the present application generate high-precision simulation images through a real-time rendering module, combine direct injection and fusion injection of a simulation image injection module in a dual mode, effectively solve the engineering problem of relying on expensive real combat task evaluation and few test samples of the prior art, and greatly improve the test efficiency and coverage. BRIEF DESCRIPTION OF DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application. It is apparent that the accompanying drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings. In the drawings:

[0048] Figure 1 The flowchart shows the working process and data flow of the simulation system for monitoring satellite optical equipment according to the embodiments of the present application.

[0049] Figure 2 The flowchart shows the working process of the simulation system for monitoring satellite optical equipment according to the embodiments of the present application.

[0050] Figure 3 The modeling structure diagram shows the target and scene editing module according to the embodiments of the present application.

[0051] Figure 4 The flowchart shows the simulation method for monitoring satellite optical equipment according to the embodiments of the present application.

[0052] Explanation of reference signs:

[0053] Target and scene editing module 1, portable simulation video control module 2, simulation video interface protocol conversion module 3, monitored satellite optical equipment 4, information acquisition and evaluation module 5. DETAILED DESCRIPTION

[0054] In order to make the purposes, technical solutions and advantages of the present application clearer, the following further describes the present application in detail with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application but not all the embodiments. Based on the embodiments in the present application, any other embodiments obtained by those ordinarily skilled in the art without creative effort should fall into the scope of the present application.

[0055] The terms used in the embodiments of the present application are only for the purpose of describing particular embodiments and are not intended to limit the present application. The singular forms "a", "an" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. "Plural" generally includes at least two.

[0056] It should be understood that the term "and / or" used herein only describes an association relationship of associated objects, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the front and rear associated objects.

[0057] It should be understood that although the terms first, second, third, etc. can be used in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first can also be called the second, and similarly, the second can also be called the first.

[0058] It should also be noted that the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that the product or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such product or device. Without more limitations, the element defined by the sentence "including a" does not exclude the presence of another identical element in the product or device including the element.

[0059] The optional embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0060] The present application proposes a simulation system for monitoring satellite optical equipment, which is mainly used for simulating the full-link motion scene of space-based targets such as satellites, generating high-confidence simulation video streams, and directly injecting into the optical tracking and identification processing system of the monitoring satellite to replace the expensive and non-repetitive field live-fire test, so as to realize the full-range, repeatable and quantitative evaluation of the satellite tracking and identification performance in the laboratory environment.

[0061] The application provides a simulation system for monitoring satellite optical equipment. In the embodiment of the application, the system is realized based on a graphics workstation, the system development environment is a Windows 10 64-bit operating system, and the compilation environment is Microsoft VisualStudio 2019. The modeling process comprehensively uses SolidWorks and Substance Painter for three-dimensional modeling and material processing, and the core rendering engine is built based on OSG and Vulkan 1.2.

[0062] In the embodiment of the application, the optical tracking processing unit of a certain type of space-based monitoring satellite is taken as a device under test, and the working principle of the simulator system is verified. The system converts a simulation video interface protocol through a LVDS interface (resolution: 4096x4096, frame rate: 10 Hz) to inject a full-link simulation video stream into the optical tracking processing unit of the monitoring satellite under test. In this embodiment, the flight trajectory and infrared characteristics of the simulated satellite in the ascending stage are taken as examples to generate a long-wave infrared simulation video stream and inject it into the device under test.

[0063] A simulation system for monitoring satellite optical equipment, the internal relationship, workflow and data flow direction are as shown in Figure 1 The system specifically comprises a high-performance graphics workstation as a target and scene editing module 1, a portable computer as a portable simulation video control module 2, and a customized hardware case. The hardware case integrates a simulation video interface protocol conversion module 3, an information acquisition and evaluation module 5, and a working mode switching module.

[0064] The technical scheme of the simulation system in the embodiment of the application comprises: the target and scene editing module 1 is used to generate a simulated image data source; based on the input actual combat task image data, a full-link internal modeling and rendering software is used to output a simulation image sequence and associated ballistic information. The portable simulation video control module 2 is used as a control terminal of the system, and the parameters such as simulation target, environment background, trajectory and attitude are set through a software interface. A control command generation unit in the module encapsulates these parameters into specific control commands and sends them to the downstream hardware module for binding through a network. The simulation video interface protocol conversion module 3 is a core hardware unit for realizing the video stream injection function, and integrates a special processing system, high-speed storage, synchronous acquisition and a multi-protocol interface electronic system. The module receives the simulation image sequence from the target and scene editing module 1 and the control commands from the portable simulation video control module 2, and converts them into physical video signals that can be received by the monitoring satellite optical equipment 4 under test.

[0065] The technical scheme of the embodiment of the simulation system further comprises: an information collection and evaluation module 5, which is cooperatively arranged with the simulation video interface protocol conversion module 3, and is used for collecting state information generated when the external monitored satellite optical equipment performs tracking processing according to the real-time simulation video stream, and generating a performance evaluation report based on the state information. A working mode switching module is used for switching the output enable of the real-time simulation video stream through a software control command, so as to select a simulation test mode or a device debugging mode.

[0066] In an embodiment of the present application, the target and scene editing module 1 of the system is realized based on a high-performance graphics workstation, and a special simulation software is built-in, which integrates target modeling, background modeling, atmospheric transmission modeling and detector full-link modeling functions, and performs real-time scene rendering based on OSG and GPU to generate a simulation image sequence containing target radiation characteristics and complex background. The portable simulation video control module 2 is realized by an industrial control computer, and a test personnel can set target trajectory, attitude and environmental parameters through a software interface thereof, and issue control commands. The simulation video interface protocol conversion module 3 is a special hardware device, which receives control commands and image sequences to generate real-time simulation video streams conforming to the LVDS interface standard.

[0067] The embodiment of the present application provides a preferred technical scheme, the target and scene editing module 1 is realized by a special simulation image editing software running on a high-performance graphics workstation, and the generation principle of the simulation image sequence is as shown in Figure 2 and as shown in Figure 3 The target and scene editing module 1 constructs a full-link digital twin model covering the target-background-atmosphere-detection system. The construction process starts from the accurate modeling of the radiation and three-dimensional geometric characteristics of the target, and the radiation characteristics of the background environment based on the material library. The target and the background are fused at the physical level through a coupling relationship model and an atmospheric radiation and transmittance model. The key radiation and motion parameters are controllably disturbed by a polarization model. Finally, all scene information is driven and rendered into realistic two-dimensional dynamic infrared image sequences on a high-performance rendering evaluation platform based on OSG and GPU, through a detection system model simulating a real imaging link, including mathematical models of optical systems, detectors, imaging circuits and other effects. This deep modeling process ensures high physical confidence of the simulation video source.

[0068] In the embodiment of the present application, the target and scene editing module 1 comprises:

[0069] The target modeling unit is used for providing a radiation characteristic calculation function of the target, and forming a spectral radiation characteristic database of the target. Through a software algorithm, the zero-view radiation characteristics of a typical target satellite are calculated to form a database containing circumferential spectral radiation brightness and spectral radiation intensity. The spectral radiation characteristic database supports calling heat flow field and spectral emissivity data under typical working conditions.

[0070] A background modeling unit is configured to implement a background radiation characteristic transformation under different environmental conditions. A material library and a texture library are built in, and the background radiation characteristics of the sky, the sea, the land, etc. under different weather, sea conditions, seasons and time conditions can be simulated, and a required contrast can be formed with target radiation.

[0071] A fusion modeling unit is connected with the target modeling unit and the background modeling unit, and is configured to fuse the target and the background. The target model and the background model are fused, and the fused scene can be corrected according to field test data.

[0072] A scene real-time rendering unit is connected with the fusion modeling unit, and is configured to perform real-time rendering on the fused scene to generate a simulation image sequence. An OSG and GPU-based rendering platform is used to perform real-time rendering on the scene after full-link modeling, and finally a high-confidence simulation image sequence is output.

[0073] A bias modeling unit is connected between the fusion modeling unit and the scene real-time rendering unit, and is configured to perform random bias processing on the fused scene data to construct a boundary condition test scene. After the scene is fused, key parameters are randomly biased to generate a test scene for examining the boundary performance of the system.

[0074] A detector full-link modeling unit is connected with the scene real-time rendering unit, and is configured to simulate a full process from scene optical signals to image sensor output signals. The complete physical process from target-background radiation signals, through atmospheric transmission, to optical system imaging, photoelectric sensor sampling and conversion is simulated.

[0075] The steps of generating a simulation image sequence by the target and scene editing module are as follows: first, the target modeling unit calculates the zero-view radiation characteristics of a typical target such as a satellite by a software algorithm, forms a database containing circumferential spectral radiation brightness and spectral radiation intensity, and the database supports calling thermal flow field and spectral emissivity data under typical working conditions; second, the background modeling unit simulates the radiation characteristics of the sky, the sea, the land, etc. under different weather, sea conditions, seasons and time conditions according to the built-in material library and texture library; third, the fusion modeling unit fuses the target model and the background model, and can correct the fused scene according to field test data; fourth, the bias modeling unit performs random bias processing on the fused scene data to construct a test scene for examining the boundary performance of the system; fifth, the detector full-link modeling unit simulates a complete physical process from target-background radiation signals, through atmospheric transmission, to optical system imaging, photoelectric sensor sampling and conversion; and sixth, the scene real-time rendering unit performs real-time rendering on the scene after full-link modeling based on an OSG and GPU rendering platform, and finally outputs a high-confidence simulation image sequence.

[0076] In the embodiments of the present application, the technical scheme of the target and scene editing module 1 solves the problems of low simulation confidence and single scene caused by incomplete modeling link and lack of physical basis in the existing simulation technology. By constructing a full-link physical model from target-background-atmosphere-detection system and integrating random polarization and real-time rendering based on OSG+GPU, a high-fidelity simulation image sequence covering multiple typical and boundary conditions can be dynamically generated, thereby providing reliable and comprehensive test data source for performance evaluation of the optical equipment of the surveillance satellite, and overcoming the defects of limited test scene and inability to fully evaluate the real performance of the equipment in complex environment caused by relying on pre-stored image library.

[0077] The portable simulation video control module 2 comprises a parameter ordering element for receiving the simulation target, environmental background, trajectory data and target attitude parameters input by the user; a control command generation unit connected with the parameter ordering element for generating control commands from the parameters and ordering the control commands to the simulation video interface protocol conversion module 3 through the network. In the embodiments of the present application, the portable simulation video control module 2 is physically realized by a portable computer, and a special simulation video output control software is run in the computer.

[0078] In the embodiments of the present application, the parameter ordering element is presented in the form of a graphical human-computer interaction interface. From the model library generated in advance by the target and scene editing module 1, each simulation parameter required for the device under test 4 is selected and ordered. The simulation target is selected from the pre-defined target type in the database, associated with the satellite under test, and the corresponding radiation characteristic model is obtained. The environmental background is set to the background condition of the scene, such as clear sky over the ocean, cloudy land, night city, etc., so as to call different background radiation models. The target trajectory is input or loaded with the flight trajectory data of the target, including initial position, speed, acceleration and a series of time-space position points, so as to define the motion trajectory of the target. The target attitude is set or loaded with the attitude change data of the target during flight, such as the variation relationship of pitch angle, yaw angle and roll angle with time.

[0079] In the embodiments of the present application, the control command generation unit encodes and packages each type of simulation parameter according to the communication protocol format agreed in advance with the simulation video interface protocol conversion module 3, generates a complete set of binary control command frames that can be parsed and executed by the subordinate module, and sends and orders the packaged control command frames and related trajectory data packets, i.e. writes them into the specified storage address or command register of the embedded system of the simulation video interface protocol conversion module 3, through the built-in gigabit Ethernet port of the portable computer and using the TCP / IP protocol, so as to stably and reliably send and order. This process completes the task configuration of the subordinate hardware module, so that it is ready to generate specific simulation video stream according to the instruction.

[0080] In the embodiment of the present application, the simulation video interface protocol conversion module 3 is an independent and customized hardware device, which is the core physical carrier for realizing the video stream injection function, receives upper layer instructions and data, and generates simulation video stream meeting strict timing requirements in real time. It includes: an embedded simulation control unit, which is used for receiving and analyzing the control commands of the portable simulation video control module 2, and accurately scheduling and managing the reading, processing and output timing of image data according to the installed trajectory and attitude parameters. A memory unit, in the embodiment of the present application, is composed of a simulation video storage module and a target and scene simulation image cache unit. The simulation video storage module is used for saving a complete simulation image sequence library; the target and scene simulation image cache unit provides high-speed frame data access support required for real-time video stream output for the embedded control system during the test. The memory unit is connected with the embedded simulation control unit, and is used for storing the simulation image sequence and trajectory data generated by the target and scene editing module 1. A video output interface unit is connected with the embedded simulation control unit, and is used for converting the simulation image sequence into standard video interface protocol signals and outputting them as real-time simulation video stream according to the analyzed control commands. In the embodiment of the present application, the video output interface unit integrates multiple standard video interface driver chips. The digital image data processed by the embedded control system is converted into simulation video stream meeting specific electrical and protocol specifications, and the final simulation video stream is output and directly injected into the image acquisition and processing link of the monitored satellite optical equipment 4.

[0081] In the embodiment of the present application, the embedded simulation control unit is realized by the FPGA chip, the ARM chip or the DSP chip in the prior art, or the combination of the above chips. The control commands from the portable simulation video control module 2 are received through the communication interface unit such as the gigabit Ethernet, and are analyzed in real time. The control commands contain target trajectory, attitude, and simulation image sequence index to be called and other information. The memory unit is composed of one or more pieces of large-capacity and high-speed DDR SDRAM chips, receives and stores various simulation image sequences and precise trajectory data downloaded from the portable simulation video computer, and provides high-speed random reading support of required image data for the embedded simulation control unit. The video output interface unit is composed of a dedicated video interface driver chip and a connector, receives the instructions of the embedded simulation control unit, reads the corresponding image data from the memory in real time, and converts them into electrical signals meeting the standard video interface protocols such as LVDS or 2711. Finally, a real-time simulation video stream with high resolution and high frame rate is generated, and is directly injected into the monitored satellite optical equipment 4, that is, the image processor of the monitored satellite, through the physical interface.

[0082] In the embodiment of the present application, the information collection and evaluation module 5 comprises: a data collection unit configured to receive state information through a standard communication interface; and a report generation unit connected to the data collection unit and configured to analyze the state information and generate an evaluation report containing tracking performance and target recognition capability indicators. The data collection unit of the information collection and evaluation module 5 receives, in real time, state information such as azimuth angle, elevation angle, and tracking error fed back by the monitored satellite image processor through an Ethernet port. The report generation unit analyzes the information and automatically generates a quantitative performance evaluation report containing indicators such as tracking accuracy and recognition success rate.

[0083] In the embodiment of the present application, the simulation system further comprises a working mode switching module configured to switch the output enablement of the real-time simulation video stream through a software control command to select a simulation test mode or a device debugging mode. The working mode switching module controls the enablement signal of the video output interface unit by sending a specific instruction to the embedded system, thereby switching between outputting the simulation video stream and disconnecting the simulation video and connecting the real signal.

[0084] The simulation system for monitoring satellite optical equipment provided by the embodiment of the present application generates high-confidence simulation image sequences by adopting full-link physical modeling and real-time rendering technology through the construction of a collaborative system composed of a target and scene editing module 1, a portable simulation video control module 2, and a simulation video interface protocol conversion module 3, and directly injects the simulation video stream into the image processing system of the monitored satellite through a standard interface by using network binding and embedded hardware conversion technology, thereby realizing the accurate testing and evaluation of the tracking and recognition performance of the monitoring satellite optical equipment in a laboratory environment, which is repeatable, quantitative, and fully covered, effectively replacing the traditional field live-fire test, and significantly improving the testing efficiency and identification reliability.

[0085] The embodiment of the present application also provides a simulation and detection method for monitoring satellite optical equipment, as shown in Figure 4 The specific implementation includes the following steps:

[0086] S1, construct a simulation image sequence, based on the collected actual combat task target image and environmental background image data, perform target radiation characteristic calculation by a target modeling unit to form a target spectral radiation characteristic database; perform background radiation characteristic transformation under different environmental conditions by a background modeling unit; fuse the target and the background by a fusion modeling unit; and perform real-time rendering on the fused scene by a scene real-time rendering unit to finally generate simulation image sequences of multiple types.

[0087] S2, set parameters and generate control commands, on the portable computer, set specific simulation targets, environmental background, target trajectory and target attitude parameters. The parameters are packaged into control commands according to the predetermined communication protocol format. It is realized by the portable simulation video control module 2, the parameter packaging unit receives the simulation target, environmental background, target trajectory and target attitude parameters input by the user; the control command generation unit packages the parameters according to the predetermined communication protocol format, generates the control command; and the control command is packaged into the simulation video interface protocol conversion module 3 through the network.

[0088] S3, generate real-time simulation video stream, the embedded system in the protocol converter receives and analyzes the control command, and simultaneously calls the simulation image sequence matched with the command from the memory. The video interface chip integrates the image sequence into real-time simulation video stream consistent with the motion characteristics of the real target according to the trajectory and attitude data. It is realized by the simulation video interface protocol conversion module 3, the embedded simulation control unit receives and analyzes the control command; the memory provides cache support for the simulation image sequence and trajectory data; and the video output interface unit converts the image sequence into standard video interface protocol signal according to the analyzed command, and generates real-time simulation video stream.

[0089] S4, output the video stream to the device under test 4, the generated real-time simulation video stream is directly injected into the image tracking processing subsystem of the monitored satellite through the high-speed video interface such as LVDS, to replace the real signal collected by the optical sensor.

[0090] S5, collect tracking state information, collect and record all internal state information generated by the monitored satellite when processing the simulation video stream in real time through the Ethernet cable, including but not limited to target position, tracking error, identification mark, etc. It is realized by the information collection and evaluation module 5, the data collection unit receives the tracking state information generated by the optical equipment under test through the standard communication interface.

[0091] S6, generate performance evaluation report, analyze the collected tracking state information offline or online, calculate the key performance indicators such as tracking stability, identification accuracy, reaction time, and automatically generate a detailed graphic performance evaluation report, to provide data support for the identification and finalization of the monitoring satellite.

[0092] The method for monitoring the simulation system of the satellite optical equipment provided by the embodiment of the application, by sequentially performing the complete steps of constructing a full-link simulation image sequence, binding simulation parameters and generating control commands, converting to generate a real-time simulation video stream, injecting the measured device 4, collecting tracking state information and generating a performance evaluation report, a closed-loop technical solution from scene modeling to performance evaluation is constructed, the tracking and recognition capability of the monitoring satellite optical equipment is repeatedly, quantitatively and accurately tested and effectively evaluated, and the technical limitations of high cost, long cycle and non-repeatability of field live-fire testing are overcome.

[0093] The flowcharts and block diagrams in the drawings illustrate the possible implementation architecture, function and operation of the system, method and computer program product according to various embodiments of the application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders than that noted in the drawings. For example, two blocks indicated in succession can actually be executed substantially in parallel, and sometimes in reverse order, depending on the function involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0094] The units involved in the embodiments of the application can be implemented in a software manner or in a hardware manner. Among them, the name of the unit does not constitute a limitation on the unit itself in some cases.

Claims

1. A simulation system for surveillance satellite optical equipment, characterized in that, include: The target and scene editing module is used to construct and output various types of simulation image sequences; A portable simulation video control module, connected to the target and scene editing module, is used to set simulation parameters and send control commands; The simulation parameters include at least: simulation target, environmental background, target trajectory, and target attitude; The simulation video interface protocol conversion module is connected to the portable simulation video control module and the target and scene editing module respectively, and is used to receive the control commands and the simulation image sequence to generate a real-time simulation video stream; The target and scene editing module includes: The target modeling unit is used to provide the function of calculating the radiation characteristics of the target and form a database of the target's spectral radiation characteristics; Background modeling unit is used to realize the transformation of background radiation characteristics under different environmental conditions; A fusion modeling unit, connected to the target modeling unit and the background modeling unit, is used to fuse the target with the background; A real-time scene rendering unit, connected to the fusion modeling unit, is used to render the fused scene in real time and generate the simulation image sequence. The scene real-time rendering unit is based on the OSG and GPU rendering platform; The target and scene editing module also includes: The biasing model unit is connected between the fusion modeling unit and the scene real-time rendering unit. It is used to randomly bias the fused scene data to construct a boundary condition test scene. The biasing model unit will controllably perturb the key radiation and motion parameters; The target and scene editing module also includes: The detector end-to-end modeling unit is connected to the scene real-time rendering unit and is used to simulate the entire process from scene optical signals to image sensor output signals.

2. The simulation system according to claim 1, characterized in that, The portable simulation video control module includes: The parameter assembly unit is used to receive user input of the simulation target, environmental background, ballistic data, and target attitude parameters; The control command generation unit, connected to the parameter assembly unit, is used to generate control commands from the parameters and assemble them into the simulation video interface protocol conversion module via the network.

3. The simulation system according to claim 1, characterized in that, The simulated video interface protocol conversion module includes: An embedded simulation control unit is used to receive and parse control commands from the portable simulation video control module. The memory unit, connected to the embedded simulation control unit, is used to store the simulation image sequence and ballistic data generated by the target and scene editing module; The video output interface unit is connected to the embedded simulation control unit and is used to convert the simulation image sequence into a standard video interface protocol signal and output it as the real-time simulation video stream according to the parsed control command.

4. The simulation system according to claim 1, characterized in that, The simulation system also includes: The information acquisition and evaluation module, in conjunction with the simulation video interface protocol conversion module, is used to acquire the status information generated by the external monitored satellite optical equipment when it performs tracking processing based on the real-time simulation video stream, and to generate a performance evaluation report based on the status information.

5. The simulation system according to claim 4, characterized in that, The information collection and evaluation module includes: The data acquisition unit is used to receive the status information through a standard communication interface; The report generation unit, connected to the data acquisition unit, is used to analyze the status information and generate an evaluation report containing tracking performance and target recognition capability indicators.

6. The simulation system according to claim 1, characterized in that, The simulation system also includes: The working mode switching module is used to switch the output enable of the real-time simulation video stream through software control commands to select either simulation test mode or device debugging mode.

7. A method for simulating a surveillance satellite optical equipment based on any one of claims 1 to 6, characterized in that, The method includes: Constructing various types of simulated image sequences; Set the simulation target, environmental background, target trajectory and target attitude parameters, and generate control commands based on the parameters; A real-time simulation video stream is generated based on the control commands and the simulation image sequence; The real-time simulation video stream is output to the optical equipment under test. Collect the tracking status information generated by the optical equipment under test after receiving the real-time simulation video stream; Based on the tracking status information, a performance evaluation report for the optical equipment under test is generated.

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