Parallel simulation and application evaluation method and system for optical detection satellite

Abstract

The application provides an optical satellite parallel simulation and application evaluation system and method, which comprises a scene assumption subsystem, a high-orbit satellite subsystem, a low-orbit satellite subsystem and an application evaluation subsystem. The application provides a simulation deduction and evaluation method and system which can evolve cooperatively with an actual satellite system and provide closed-loop feedback for an optical satellite system, and can provide strong support for optimization of satellite scheme design and improvement of application efficiency of an actual satellite system in orbit.

Description

Technical Field

[0001] This invention belongs to the field of space-based target detection, tracking, simulation, and evaluation technology, specifically relating to a method and system for parallel simulation and application evaluation of optical detection satellites. Background Technology

[0002] Optical exploration satellites are an important component of my country's space-based exploration system. The on-orbit operation and data application process of optical exploration satellites involves deep interaction between personnel and equipment. The entire system is not a "general complex system" but is closer to a "complex social system," making it difficult to directly decompose and reconstruct for analysis. Traditional digital modeling and simulation methods have limitations.

[0003] For modeling and simulation of complex systems, Academician Wang Feiyue proposed parallel system technology at the beginning of this century. This technology provides solutions to complex problems with both high social and engineering complexity through parallel interaction between a real system and a human computational process, and has been widely studied and achieved good results in many fields. This has led to parallel simulation technology, which treats the simulation system as an artificial system. It is a simulation technology application method that enables collaborative operation, virtual-real interaction, co-evolution and mutual control with the real system. In recent years, the parallel system method has received widespread attention and has been applied to scientific and engineering fields such as military, transportation, medicine, and chemical engineering. Application concepts have been proposed, including parallel rail transit systems, missile penetration effectiveness evaluation systems based on parallel experimental methods, and parallel aircraft carriers. However, research on the application of parallel system technology in the satellite field is currently lacking. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for parallel simulation and application evaluation of optical detection satellites.

[0005] According to the present invention, a parallel simulation and application evaluation system for optical detection satellites includes: Scenario Design Subsystem M1: Simulation scenario design and simulation scenario generation, providing initial conditions for each satellite participating in the simulation evaluation; High-orbit satellite subsystem M2: Parallel simulation of high-orbit optical detection satellites and satellite systems for actual operation; Low Earth Orbit Satellite Subsystem M3: Parallel simulation of actual low Earth Orbit optical detection satellites and satellite systems; Application Evaluation Subsystem M4: Evaluates the collaborative mission capabilities of high-orbit and low-orbit satellite systems.

[0006] Preferably, the scenario planning subsystem M1 includes: Scene design and planning module: Based on the simulation mission requirements, complete the planning and arrangement of target and satellite mission scenes; Scene generation module: Based on the task scene planning and arrangement results, it sets parameters such as target motion scene and satellite orbital payload; Target characteristic model calculation module: performs simulation calculations of infrared radiation characteristics and motion characteristics of typical moving targets from the perspective of space-based detection; Background characteristic model calculation module: performs simulation calculations of infrared radiation characteristics under different backgrounds from the perspective of space-based detection.

[0007] Preferably, the high-orbit satellite subsystem M2 includes: High-orbit constellation and orbit simulation module: performs high-orbit satellite position and velocity recursion based on orbital elements and generates high-orbit satellite constellations based on typical configurations; Camera simulation module: Simulates the working mode and detection imaging process of infrared array camera and infrared scanning camera of high-orbit satellite, and outputs the detection imaging simulation results; Onboard processing module: performs camera infrared image detection and target extraction for high-orbit satellites, calculates star-eye line-of-sight vectors, and estimates the early three-dimensional motion trajectory of targets; High-orbit mission planning and scheduling simulation module: performs target priority judgment for high-orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control; High-orbit parallel evolution module: Based on the dynamic operation data of the actual high-orbit satellite system, it corrects each module of the high-orbit satellite subsystem; High-orbit inter-satellite link simulation module: simulates the data transmission process of inter-satellite links between high-orbit satellites and between high-orbit satellites and low-orbit satellites.

[0008] Preferably, the low-orbit satellite subsystem M3 includes: Low Earth Orbit Constellation and Orbit Simulation Module: Performs recursive calculation of low Earth orbit satellite position and velocity based on orbital elements and generates low Earth orbit satellite constellations based on typical configurations; Target detection simulation module: performs target acquisition and determination under the guidance of high-orbit satellites, calculates the target visibility of low-orbit satellites, and calculates the line-of-sight vector of the satellites; Low Earth Orbit (LEO) mission planning and scheduling simulation module: performs target priority judgment for LEO satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. Multi-source data fusion positioning module: performs multi-satellite target identification, target 3D motion trajectory estimation and prediction; Low Earth Orbit Parallel Evolution Module: Dynamically corrects each module of the low Earth Orbit satellite subsystem based on the actual operational data of the low Earth Orbit satellite system; Low Earth Orbit Inter-Satellite Link Simulation Module: Simulates the data transmission process of inter-satellite links between low Earth orbit satellites.

[0009] Preferably, the application evaluation subsystem M4 includes: Analysis data acquisition module: Collects various simulation data generated during the simulation process, stores and manages the collected data, and provides data support for application evaluation; Performance evaluation module: Analyzes and evaluates the performance and cost-effectiveness of satellite systems, optimizes the technical status settings and on-orbit operation mode of actual satellite systems based on the evaluation results, improves the on-orbit application performance of actual satellite systems, and realizes the collaborative evolution and closed-loop feedback of actual satellite systems and virtual simulation satellite systems.

[0010] A parallel simulation and application evaluation method for optical detection satellites provided by the present invention includes: Scenario design step S1: Simulation scenario design and simulation scenario generation, providing initial conditions for each satellite participating in the simulation evaluation; High-orbit satellite sub-step S2: Parallel simulation of high-orbit optical detection satellites and satellite systems for actual installation; Low-Earth Orbit Satellite Step S3: Parallel simulation of low-Earth Orbit optical detection satellites and satellite systems for actual installation; Application evaluation step S4: Evaluate the collaborative mission capabilities of high-orbit and low-orbit satellite systems.

[0011] Preferably, the scenario design step S1 includes: Scene design and planning steps: Based on the simulation mission requirements, complete the planning and arrangement of target and satellite mission scenes; Scene generation steps: Based on the task scene planning and arrangement results, set parameters such as target motion scene and satellite orbital payload; Target characteristic model calculation steps: Perform simulation calculations of infrared radiation characteristics and motion characteristics of typical moving targets from the perspective of space-based detection; Background characteristic model calculation steps: Perform infrared radiation characteristic simulation calculations for different backgrounds under the perspective of space-based detection.

[0012] Preferably, the high-orbit satellite step S2 includes: High-orbit constellation and orbit simulation steps: Perform high-orbit satellite position and velocity recursion based on orbital elements and generate high-orbit satellite constellations based on typical configurations; Camera simulation steps: Simulate the working mode and detection imaging process of the infrared array camera and infrared scanning camera of the high-orbit satellite, and output the detection imaging simulation results; Onboard processing steps: performing camera infrared image detection and target extraction on high-orbit satellites, calculating star-eye line-of-sight vectors, and estimating the early three-dimensional motion trajectory of the target; The simulation steps for high-orbit mission planning and scheduling are as follows: target priority judgment for high-orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. Parallel evolution steps in high orbit: Based on the dynamic operation data of the actual high orbit satellite system, the steps of each step of the high orbit satellite subsystem are corrected; The simulation steps for high-orbit inter-satellite links are as follows: Simulate the data transmission process of inter-satellite links between high-orbit satellites and between high-orbit satellites and low-orbit satellites.

[0013] Preferably, the low-orbit satellite step S3 includes: Low Earth Orbit Constellation and Orbit Simulation Steps: Perform recursive calculation of low Earth orbit satellite position and velocity based on orbital elements and generate low Earth orbit satellite constellations based on typical configurations; Target detection simulation steps: Target acquisition and determination under high-orbit satellite guidance, target visibility calculation by low-orbit satellite, and star-eye line-of-sight vector calculation; The simulation steps for low-Earth orbit mission planning and scheduling are as follows: target priority judgment for low-Earth orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. Multi-source data fusion positioning steps: perform multi-satellite co-target identification, target 3D motion trajectory estimation and prediction; Low Earth Orbit Parallel Evolution Steps: Based on the actual operational data of the low Earth Orbit satellite system, the steps of each low Earth Orbit satellite subsystem are dynamically modified. Low Earth Orbit (LEO) Inter-Satellite Link Simulation Steps: Simulate the data transmission process of the inter-satellite link between LEO satellites.

[0014] Preferably, the application evaluation step S4 includes: Analysis of data acquisition steps: Collect various simulation data generated during the simulation process, and store and manage the collected data to provide data support for application evaluation; Performance evaluation steps: Analyze and evaluate the performance and cost-effectiveness of the satellite system, optimize the technical status settings and on-orbit operation mode of the actual satellite system based on the evaluation results, improve the on-orbit application performance of the actual satellite system, and realize the collaborative evolution and closed-loop feedback of the actual satellite system and the virtual simulation satellite system.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention provides a satellite simulation and evaluation solution for optical satellite systems, which can evolve in tandem with actual satellite systems and provide closed-loop feedback. It has the capability to be driven by on-orbit measured data and can provide strong support for the optimization of satellite scheme design and the improvement of the on-orbit application performance of actual satellite systems. Attached Figure Description

[0016] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a schematic diagram of the composition of the optical detection satellite parallel simulation and application evaluation system provided in the embodiments of the present invention.

[0017] Figure 2 This is a schematic diagram corresponding to the parallel simulation and application evaluation method for optical detection satellites provided in the embodiments of the present invention. Detailed Implementation

[0018] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the protection scope of the present invention.

[0019] Combination Figure 1 As shown, the parallel simulation and application evaluation system for optical detection satellites provided by the present invention comprises: Module M1: Scenario Planning Subsystem, used for simulation scenario design and simulation scenario generation, providing initial conditions for each satellite participating in the simulation evaluation. Module M1 includes: a scenario design and planning module, a scenario generation module, a target characteristic model, and a background characteristic model. The scenario design and planning module mainly plans and arranges the target and satellite mission scenarios according to the simulation mission requirements. The scenario generation module mainly sets parameters such as target motion scenarios and satellite orbital payloads based on the mission scenario planning and arrangement results. The target characteristic model mainly performs simulation calculations of infrared radiation characteristics and motion characteristics of typical moving targets under the space-based detection perspective. The background characteristic model mainly performs simulation calculations of infrared radiation characteristics under different backgrounds under the space-based detection perspective.

[0020] Module M2: High-orbit satellite subsystem, used for parallel simulation of high-orbit optical detection satellites and satellite systems for actual operation; Module M2 includes: a high-orbit constellation and orbit simulation module, a camera simulation module, an on-board processing simulation module, a mission planning and scheduling simulation module, a high-orbit parallel evolution module, and a high-orbit inter-satellite link simulation module. The high-orbit constellation and orbit simulation module completes the recursive calculation of high-orbit satellite position and velocity based on orbital elements and the generation of high-orbit satellite constellations based on typical configurations; the camera simulation module mainly simulates the working modes and detection imaging processes of the infrared array cameras and infrared scanning cameras of high-orbit satellites, and outputs the detection imaging simulation results; the on-board processing module mainly completes the detection and extraction of infrared images from the cameras of high-orbit satellites, the calculation of star-eye line-of-sight vectors, and the estimation of early three-dimensional motion trajectories of targets; the high-orbit mission planning and scheduling simulation module mainly completes the target priority judgment of high-orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control; the high-orbit parallel evolution module mainly corrects each module of the high-orbit satellite subsystem based on the dynamic operation data of the actual high-orbit satellite system; the high-orbit inter-satellite link simulation module mainly simulates the data transmission process of inter-satellite links between high-orbit satellites and between high-orbit satellites and low-orbit satellites.

[0021] Module M3: Low Earth Orbit Satellite Subsystem, used for parallel simulation of low Earth Orbit optical detection satellites and satellite systems for actual operation; Module M3 includes: low Earth Orbit constellation and orbit simulation module, target detection simulation module, low Earth Orbit mission planning and scheduling simulation module, multi-source data fusion positioning module, low Earth Orbit parallel evolution module, and low Earth Orbit inter-satellite link simulation module. The LEO constellation and orbit simulation module performs recursive calculations of LEO satellite position and velocity based on orbital elements and generates LEO satellite constellations based on typical configurations. The target detection simulation module performs target acquisition determination under the guidance of high-orbit satellites, calculates the visibility of LEO satellites to targets, and calculates the line-of-sight vector between satellites and targets. The LEO mission planning and scheduling simulation module performs target priority determination for LEO satellites, single-satellite tracking of multiple targets path planning, multi-satellite joint tracking of multiple targets planning, and mission status monitoring and control. The multi-source data fusion positioning module performs multi-satellite same-target determination, target three-dimensional motion trajectory estimation and prediction. The LEO parallel evolution module mainly corrects each module of the LEO satellite subsystem based on the dynamic operation data of the actual LEO satellite system. The LEO inter-satellite link simulation module mainly simulates the data transmission process of inter-satellite links between LEO satellites.

[0022] Module M4: Application Evaluation Subsystem, used to evaluate the collaborative mission capabilities of high-orbit and low-orbit satellite systems. Module M4 includes: an analysis data acquisition module and a performance evaluation module. The analysis data acquisition module collects various simulation data generated during the simulation process, and stores and manages the collected data to provide data support for application evaluation; the performance evaluation module analyzes and evaluates satellite system performance and cost-effectiveness.

[0023] Combination Figure 2 As shown, a parallel simulation and application evaluation method for optical detection satellites provided by the present invention includes the following steps: Step 1: Simulation Scene Generation. The scene design and planning module completes the planning and arrangement of target and satellite mission scenes according to the simulation mission requirements; the scene generation module mainly sets parameters such as target motion scene and satellite orbital payload based on the mission scene planning and arrangement results, and generates multi-target motion trajectories in combination with target motion characteristics.

[0024] Step 2: High-orbit satellite system detection and tracking mission simulation. The high-orbit constellation and orbit simulation module completes the recursive calculation of high-orbit satellite position and velocity based on orbital elements and the generation of high-orbit satellite constellations based on typical configurations according to the scenario settings; the camera simulation module combines the infrared radiation characteristics of the target and background to complete the simulation of the working modes and detection imaging process of the infrared array camera and infrared scanning camera of the high-orbit satellite, and outputs the satellite observation target image from the space-based detection perspective; the on-board processing module performs image detection and target extraction, calculates the star-eye line-of-sight vector, and completes the early three-dimensional motion trajectory estimation of the target; the high-orbit mission planning and scheduling simulation module completes the target priority judgment, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and other operations of the high-orbit satellite based on the target three-dimensional motion trajectory estimation results, and monitors the mission status in real time; the high-orbit inter-satellite link simulation module mainly simulates the process of high-orbit satellite transmitting target guidance information to low-orbit satellites and the transmission process to other high-orbit satellites; the high-orbit parallel evolution module corrects each module of the high-orbit satellite subsystem based on the dynamic operation data of the actual high-orbit satellite system; Step 3: Low Earth Orbit (LEO) Satellite System Detection and Tracking Mission Simulation. The LEO constellation and orbit simulation module performs LEO satellite position and velocity recursion based on orbital elements and generates a LEO satellite constellation based on typical configurations, according to the scenario settings. The LEO mission planning and scheduling simulation module, based on target guidance information sent by high-orbit satellites and combined with the local satellite's orbit, performs target priority judgment, single-satellite tracking of multiple targets path planning, and multi-satellite joint tracking of multiple targets planning, generating tracking planning and scheduling results and monitoring mission status in real time. The target detection simulation module, based on planning and scheduling instructions, performs target acquisition judgment under high-orbit satellite guidance, calculates the visibility of the target by the LEO satellite, and calculates the star-eye line-of-sight vector, generating the target's angular trajectory. The multi-source data fusion positioning module, based on the angular trajectory information of the local satellite and other satellites, performs multi-satellite target judgment, target 3D trajectory estimation and prediction. The LEO inter-satellite link simulation module mainly simulates the transmission process of target angular trajectories and target 3D trajectories between LEO satellites. The LEO parallel evolution module mainly dynamically corrects each module of the LEO satellite subsystem based on the actual operational data of the LEO satellite system.

[0025] Step 4: Satellite System Application Performance Evaluation. The data acquisition module collects various simulation data generated during the simulation process, stores and manages the collected data, and provides data support for application evaluation. The performance evaluation module analyzes and evaluates the satellite system's performance and cost-effectiveness, and optimizes the technical status settings and on-orbit operation mode of the actual satellite system based on the evaluation results. This, in turn, improves the on-orbit application performance of the actual satellite system, realizing the collaborative evolution and closed-loop feedback between the actual satellite system and the virtual simulation satellite system.

[0026] This invention also provides a parallel simulation and application evaluation system for optical exploration satellites. This system can be implemented by executing the steps of the method for parallel simulation and application evaluation of optical exploration satellites. That is, those skilled in the art can understand the method for parallel simulation and application evaluation of optical exploration satellites as a preferred embodiment of the system. Those skilled in the art know that, besides implementing the system and its various devices, modules, and units provided by this invention in purely computer-readable program code, the same functions can be achieved by logically programming the method steps, making the system and its various devices, modules, and units of this invention implement the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0027] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. An optical detection satellite parallel simulation and application evaluation system, characterized in that, include: Scenario Design Subsystem M1: Simulation scenario design and simulation scenario generation, providing initial conditions for each satellite participating in the simulation evaluation; High-orbit satellite subsystem M2: Parallel simulation of high-orbit optical detection satellites and satellite systems for actual operation; Low Earth Orbit Satellite Subsystem M3: Parallel simulation of actual low Earth Orbit optical detection satellites and satellite systems; Application Evaluation Subsystem M4: Evaluates the collaborative mission capabilities of high-orbit and low-orbit satellite systems; The high-orbit satellite subsystem M2 includes: High-orbit parallel evolution module: Based on the dynamic operation data of the actual high-orbit satellite system, the modules of the high-orbit satellite subsystem are corrected; The low-orbit satellite subsystem M3 includes: Low Earth Orbit Parallel Evolution Module: Based on the actual operational data of the low Earth Orbit satellite system, dynamically modify each module of the low Earth Orbit satellite subsystem.

2. The optical probing satellite parallel simulation and application evaluation system according to claim 1, characterized in that, The scenario-defined subsystem M1 includes: Scene design and planning module: Based on the simulation mission requirements, complete the planning and arrangement of target and satellite mission scenes; Scene generation module: Based on the task scene planning and arrangement results, it sets parameters such as target motion scene and satellite orbital payload; Target characteristic model calculation module: performs simulation calculations of infrared radiation characteristics and motion characteristics of typical moving targets from the perspective of space-based detection; Background characteristic model calculation module: performs simulation calculations of infrared radiation characteristics under different backgrounds from the perspective of space-based detection.

3. The parallel simulation and application evaluation system for optical detection satellites according to claim 1, characterized in that, The high-orbit satellite subsystem M2 includes: High-orbit constellation and orbit simulation module: performs high-orbit satellite position and velocity recursion based on orbital elements and generates high-orbit satellite constellations based on typical configurations; Camera simulation module: Simulates the working mode and detection imaging process of infrared array camera and infrared scanning camera of high-orbit satellite, and outputs the detection imaging simulation results; Onboard processing module: performs camera infrared image detection and target extraction for high-orbit satellites, calculates star-eye line-of-sight vectors, and estimates the early three-dimensional motion trajectory of targets; High-orbit mission planning and scheduling simulation module: performs target priority judgment for high-orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control; High-orbit inter-satellite link simulation module: simulates the data transmission process of inter-satellite links between high-orbit satellites and between high-orbit satellites and low-orbit satellites.

4. The parallel simulation and application evaluation system for optical detection satellites according to claim 1, characterized in that, The low-Earth orbit satellite subsystem M3 includes: Low Earth Orbit Constellation and Orbit Simulation Module: Performs recursive calculation of low Earth orbit satellite position and velocity based on orbital elements and generates low Earth orbit satellite constellations based on typical configurations; Target detection simulation module: performs target acquisition and determination under the guidance of high-orbit satellites, calculates the target visibility of low-orbit satellites, and calculates the line-of-sight vector of the satellites; Low Earth Orbit (LEO) mission planning and scheduling simulation module: performs target priority judgment for LEO satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. Multi-source data fusion positioning module: performs multi-satellite target identification, target 3D motion trajectory estimation and prediction; Low Earth Orbit Inter-Satellite Link Simulation Module: Simulates the data transmission process of inter-satellite links between low Earth orbit satellites.

5. The parallel simulation and application evaluation system for optical detection satellites according to claim 1, characterized in that, The application evaluation subsystem M4 includes: Analysis data acquisition module: Collects various simulation data generated during the simulation process, stores and manages the collected data, and provides data support for application evaluation; Performance evaluation module: Analyzes and evaluates the performance and cost-effectiveness of satellite systems, optimizes the technical status settings and on-orbit operation mode of actual satellite systems based on the evaluation results, improves the on-orbit application performance of actual satellite systems, and realizes the collaborative evolution and closed-loop feedback of actual satellite systems and virtual simulation satellite systems.

6. A method for parallel simulation and application evaluation of optical detection satellites, characterized in that, include: Scenario design step S1: Simulation scenario design and simulation scenario generation, providing initial conditions for each satellite participating in the simulation evaluation; High-orbit satellite sub-step S2: Parallel simulation of high-orbit optical detection satellites and satellite systems for actual installation; Low-Earth Orbit Satellite Step S3: Parallel simulation of low-Earth Orbit optical detection satellites and satellite systems for actual installation; Application evaluation step S4: Evaluate the collaborative mission capabilities of high-orbit and low-orbit satellite systems; The high-orbit satellite sub-step S2 includes: Parallel evolution steps in high orbit: Based on the dynamic operation data of the actual high orbit satellite system, the steps of each step of the high orbit satellite subsystem are corrected; The low-orbit satellite sub-step S3 includes: Low Earth Orbit Parallel Evolution Steps: Based on the dynamic operation data of the actual low Earth Orbit satellite system, the steps of each low Earth Orbit satellite subsystem are modified.

7. The method for parallel simulation and application evaluation of optical detection satellites according to claim 6, characterized in that, The scenario scenario is defined in step S1, which includes: Scene design and planning steps: Based on the simulation mission requirements, complete the planning and arrangement of target and satellite mission scenes; Scene generation steps: Based on the task scene planning and arrangement results, set parameters such as target motion scene and satellite orbital payload; Target characteristic model calculation steps: Perform simulation calculations of infrared radiation characteristics and motion characteristics of typical moving targets from the perspective of space-based detection; Background characteristic model calculation steps: Perform infrared radiation characteristic simulation calculations for different backgrounds under the perspective of space-based detection.

8. The method for parallel simulation and application evaluation of optical detection satellites according to claim 6, characterized in that, The high-orbit satellite sub-step S2 includes: High-orbit constellation and orbit simulation steps: Perform high-orbit satellite position and velocity recursion based on orbital elements and generate high-orbit satellite constellations based on typical configurations; Camera simulation steps: Simulate the working mode and detection imaging process of the infrared array camera and infrared scanning camera of the high-orbit satellite, and output the detection imaging simulation results; Onboard processing steps: performing camera infrared image detection and target extraction on high-orbit satellites, calculating star-eye line-of-sight vectors, and estimating the early three-dimensional motion trajectory of the target; The simulation steps for high-orbit mission planning and scheduling are as follows: target priority judgment for high-orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. The simulation steps for high-orbit inter-satellite links are as follows: Simulate the data transmission process of inter-satellite links between high-orbit satellites and between high-orbit satellites and low-orbit satellites.

9. The method for parallel simulation and application evaluation of optical detection satellites according to claim 6, characterized in that, The low-orbit satellite sub-step S3 includes: Low Earth Orbit Constellation and Orbit Simulation Steps: Perform recursive calculation of low Earth orbit satellite position and velocity based on orbital elements and generate low Earth orbit satellite constellations based on typical configurations; Target detection simulation steps: Target acquisition and determination under high-orbit satellite guidance, target visibility calculation by low-orbit satellite, and star-eye line-of-sight vector calculation; The simulation steps for low-Earth orbit mission planning and scheduling are as follows: target priority judgment for low-Earth orbit satellites, single-satellite tracking multi-target path planning, multi-satellite joint tracking multi-target planning, and mission status monitoring and control. Multi-source data fusion positioning steps: perform multi-satellite co-target identification, target 3D motion trajectory estimation and prediction; Low Earth Orbit (LEO) Inter-Satellite Link Simulation Steps: Simulate the data transmission process of the inter-satellite link between LEO satellites.

10. The method for parallel simulation and application evaluation of optical detection satellites according to claim 6, characterized in that, The application evaluation step S4 includes: Analysis of data acquisition steps: Collect various simulation data generated during the simulation process, and store and manage the collected data to provide data support for application evaluation; Performance evaluation steps: Analyze and evaluate the performance and cost-effectiveness of the satellite system, optimize the technical status settings and on-orbit operation mode of the actual satellite system based on the evaluation results, improve the on-orbit application performance of the actual satellite system, and realize the collaborative evolution and closed-loop feedback of the actual satellite system and the virtual simulation satellite system.

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