Multi-dimensional fusion evaluation method and system for large remote sensing constellation

Abstract

The invention provides a multi-dimensional fusion evaluation method and system for a large remote sensing constellation, and the method comprises the steps: obtaining an observation efficiency factor, a system construction cost factor and a network performance factor, and enabling the sum of the weights of all factors to be equal to 1; a comprehensive efficiency evaluation model is constructed by using the observation efficiency factor, the system construction cost factor and the network performance factor, and the observation efficiency factor is used for representing the coverage performance, the damage resistance performance and the multi-target capacity of the system; the system construction cost factor is used for representing the construction cost of the system; the network performance factor is used for representing network communication performance after constellation networking; and performing multi-dimensional fusion evaluation on the large remote sensing constellation through the comprehensive effectiveness evaluation model. According to the method, aiming at the task requirement of the space large-scale networking cooperative constellation, factors such as system construction cost and network communication performance are comprehensively considered, and quantitative evaluation of the comprehensive efficiency of different constellation configurations is realized.

Description

Technical Field

[0001] This invention relates to the field of aerospace technology, specifically to a multi-dimensional fusion evaluation method and system for large remote sensing constellations, and also to a corresponding computer terminal and computer-readable storage medium. Background Technology

[0002] With the continuous innovation and development of remote sensing technology, the construction and application of large remote sensing satellite constellations are gradually becoming an important trend in the field of remote sensing. In recent years, the number of large remote sensing constellations has exploded. These large constellations consist of multiple satellites, covering a wide area, acquiring data at high frequency, and providing high-resolution, global remote sensing data, which is of great significance for monitoring the Earth's surface, resource management, and environmental protection. Representative remote sensing satellite constellations that have already been launched include ICEYE, Skysat, RapidEye, and French Pleiades, with the number of satellites ranging from 5 to 20. However, large observation satellite constellations currently being planned, such as those proposed by companies like SatRevolution and Theia Satellite Network, involve hundreds to thousands of satellites. Satellite constellations are developing towards larger sizes. However, despite the great success of large remote sensing satellite constellations in providing remote sensing data, current methods for evaluating them still have some limitations.

[0003] Traditional evaluation methods for large remote sensing constellations typically focus on a single dimension, such as resolution or coverage, which has significant limitations. Previous methods failed to comprehensively consider the performance of large constellations across various aspects, making it difficult to objectively and accurately assess their overall performance. For example, a constellation may have very high resolution but relatively limited coverage, or its data update frequency may not be fast enough; such single-dimensional evaluations often fail to fully reflect the constellation's overall performance. Summary of the Invention

[0004] To address the aforementioned shortcomings in the prior art, this invention provides a multi-dimensional fusion evaluation method and system for large remote sensing constellations, along with a corresponding computer terminal and computer-readable storage medium.

[0005] According to one aspect of the present invention, a multi-dimensional fusion evaluation method for large remote sensing constellations is provided, comprising:

[0006] Obtain the observation efficiency factor Q respectively C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy w C +w P+w N =1;

[0007] Using the observation efficiency factor Q C System construction cost factor Q P and network performance factor Q N The comprehensive performance evaluation model R is constructed as follows:

[0008] R = w C Q C +w P Q P +w N Q N

[0009] in:

[0010] The observation efficiency factor Q C Used to characterize the coverage performance, damage resistance, and multi-target capacity of a constellation system;

[0011] The system construction cost factor Q P Used to characterize the construction cost of a constellation system;

[0012] The network performance factor Q N Used to characterize the network communication performance of a constellation system after networking;

[0013] The comprehensive performance evaluation model R is used to conduct a multi-dimensional fusion evaluation of large-scale remote sensing constellation systems.

[0014] Preferably, the observation efficiency factor Q C It is calculated in the following way:

[0015] The observation efficiency factor Q c The calculation formula is as follows:

[0016]

[0017] Among them, C basic This indicates the average double coverage of the constellation system at major altitudes of global airspace; C loss This represents the average double coverage of key airspace after the constellation system loses x satellites, used to reflect the constellation system's resilience; C cap Characterizes the multi-objective capabilities of the constellation system.

[0018] Preferably, the C cap The calculation is based on the ratio of the number of targets that can be stably tracked in key areas to the total number of all targets using a constellation system; where:

[0019] The specific calculation method for the number of targets that can be stably tracked in the key area includes:

[0020] Define a minimum time t that allows for stable tracking;

[0021] Several target points are uniformly sampled in the key area. The average duration T of continuous observation of the target point by the satellites in the constellation system is calculated. The average N-fold coverage rate n of the target point by the satellite sensors in the constellation system is obtained. The number of targets that can be stably tracked is n / 2*T / t.

[0022] Preferably, the construction cost factor Q P It is calculated in the following way:

[0023] The construction cost factor Q P The calculation formula is as follows:

[0024]

[0025] Among them, P ma x represents the cost budget for building the constellation system, preferably 1 billion yuan; P sys This represents an estimated actual construction cost of the constellation system, including satellite manufacturing costs and constellation system launch costs.

[0026] Preferably, the network performance factor Q N It is calculated in the following way:

[0027] The network performance factor Q N The calculation formula is as follows:

[0028]

[0029] Where T represents the period time, defined as one orbital period; N a N represents the average link establishment time for all satellites within the period; s N represents the average time during which the network configuration remains stable within a given period; l L represents the average number of off-track links within the constellation system; L represents the total number of all links within the constellation system.

[0030] Preferably, the N a It is calculated in the following way:

[0031] First, calculate the average link establishment time for a satellite. Na,

[0032] Where, N a，i Let m represent the average link establishment time for the i-th satellite, m be the total number of links that satellite i can establish in one cycle, and a be the average link establishment time for the i-th satellite. i，1 a i，2 ... a i，mThese represent the durations of the first to m links established by satellite i within one cycle;

[0033] Then, calculate the average of the average link establishment times for all satellites, which is the average possible link establishment time N for the satellites. a Preferably, the N s It is calculated in the following way:

[0034] When the connection mode of a link within a constellation changes (connects or disconnects), it indicates a change in the constellation network configuration. When the connection mode of the links within the constellation remains unchanged, the constellation network configuration remains stable. The period during which the constellation network configuration remains stable is called a time slice. The average time N during this period is then defined as the average time N during which the network configuration remains stable. s The calculation method is as follows:

[0035]

[0036] Where, N s The time taken for the network configuration to remain stable within a period represents the average time during which the network configuration remains stable. M represents the total number of time slices within the period, s1, s2, ..., s M These represent the durations of the first to M time slices within the period, respectively.

[0037] Preferably, the N l It is calculated in the following way:

[0038]

[0039] Where, N l The number of interorbit links within the constellation represents the average number of interorbit links, M represents the total number of time slices within the period, and l1, l2, ..., l M These represent the number of inter-orbit links within the constellation during the first to M time slices of the period.

[0040] According to another aspect of the present invention, a multi-dimensional fusion evaluation system for large remote sensing constellations is provided, comprising:

[0041] The comprehensive performance evaluation factor construction module is used to obtain the observed performance factor Q. C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy w C +w P +w N =1;

[0042] The comprehensive performance evaluation model construction module utilizes the observed performance factor Q. C System construction cost factor Q Pand network performance factor Q N The comprehensive performance evaluation model R is constructed as follows:

[0043] R = w C Q c +w P Q P +w N Q N

[0044] in:

[0045] The observation efficiency factor Q C Used to characterize the coverage performance, damage resistance, and multi-target capacity of a constellation system;

[0046] The system construction cost factor Q P Used to characterize the construction cost of a constellation system;

[0047] The network performance factor Q N Used to characterize the network communication performance of a constellation system after networking, mainly including network topology stability and communication latency;

[0048] A multi-dimensional fusion evaluation module is used to perform multi-dimensional fusion evaluation of large remote sensing constellation systems using the comprehensive performance evaluation model R.

[0049] According to a third aspect of the present invention, a computer terminal is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can be used to perform the method described in any one of the above inventions, or to run the system described in the above inventions.

[0050] According to a fourth aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, can be used to perform the method described in any one of the above-described inventions, or to run the system described in the above-described inventions.

[0051] By adopting the above technical solution, the present invention has at least one of the following beneficial effects compared with the prior art:

[0052] The multi-dimensional fusion evaluation method and system for large remote sensing constellations provided by this invention solves the problems of single-dimensional evaluation, lack of comprehensiveness and accuracy in the current evaluation of remote sensing satellite constellations. By comprehensively considering multiple key indicators such as constellation construction cost, observation efficiency, and network communication performance, it achieves a comprehensive evaluation and comparison of large remote sensing constellations.

[0053] The present invention provides a multi-dimensional fusion evaluation method and system for large remote sensing constellations. Through this multi-dimensional and comprehensive evaluation method, the advantages and disadvantages of large remote sensing constellations in different aspects can be more accurately grasped, providing reliable support and decision-making reference for scientific research and application in related fields.

[0054] The multi-dimensional fusion evaluation method and system for large remote sensing constellations provided by this invention will offer new ideas and methods for the evaluation and development of remote sensing satellite constellations, and promote progress and development in related fields.

[0055] The multi-dimensional fusion evaluation method and system for large remote sensing constellations provided by this invention can comprehensively consider the performance of large constellations in multiple aspects such as coverage performance, damage resistance performance, target tracking stability and other key performance indicators. It can quantify the importance of each indicator and combine them to more accurately evaluate the overall performance of the constellation.

[0056] This invention provides a multi-dimensional fusion evaluation method and system for large remote sensing constellations. By comprehensively considering various indicators, it enables a more holistic understanding of the constellation's strengths and weaknesses, providing more reliable support and decision-making basis for research and applications in related fields. Furthermore, with the rapid development of integrated sensing technology, large remote sensing constellations will not only be collections of sensors but will also possess communication capabilities. Therefore, this invention also considers communication parameters, overcoming the limitations of existing evaluation methods and enabling a comprehensive assessment and comparison of large remote sensing constellations. Attached Figure Description

[0057] 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:

[0058] Figure 1 This is a flowchart illustrating the multi-dimensional fusion evaluation method for large remote sensing constellations in a preferred embodiment of the present invention.

[0059] Figure 2 This is a schematic diagram of the components of a multi-dimensional fusion evaluation system for a large remote sensing constellation in a preferred embodiment of the present invention. Detailed Implementation

[0060] The embodiments of the present invention are described in detail below: These embodiments are implemented based on the technical solution of the present invention, and provide detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention.

[0061] Traditional evaluation methods for large remote sensing satellite constellations often only consider one aspect of performance indicators, failing to comprehensively and accurately reflect the overall performance and advantages / disadvantages of such constellations. To address this issue, one embodiment of this invention provides a multi-dimensional fusion evaluation method for large remote sensing constellations. This method, tailored to the mission requirements of large-scale space-based networked collaborative constellations (e.g., space debris monitoring), comprehensively considers factors such as system construction costs and network communication performance, achieving a quantitative assessment of the overall effectiveness of different constellation configurations. This provides more reliable decision support for research and applications in the field of remote sensing, promoting the development and application of large remote sensing satellite constellations.

[0062] Specifically, such as Figure 1 As shown, the multi-dimensional fusion evaluation method for large remote sensing constellations provided in this embodiment may include the following operations:

[0063] S1, respectively obtain the observation efficiency factor Q C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy w C +w P +w N =1;

[0064] S2, using the above-mentioned observation efficiency factor Q C System construction cost factor Q P and network performance factor Q N The comprehensive performance evaluation model R is constructed as follows:

[0065] R = w C Q C +w P Q P +w N Q N

[0066] in:

[0067] The above observation efficiency factor Q c Used to characterize the coverage performance, damage resistance, and multi-target capacity of a constellation system;

[0068] The above system construction cost factor Q P Used to characterize the construction cost of a constellation system;

[0069] The aforementioned network performance factor Q N Used to characterize the network communication performance of a constellation system after networking, mainly including network topology stability and communication latency;

[0070] S3. Using the aforementioned comprehensive performance evaluation model R, a multi-dimensional fusion evaluation of the large-scale remote sensing constellation system is conducted to obtain the comprehensive performance of the constellation system.

[0071] In some preferred embodiments, the aforementioned observation efficiency factor Q C It can also be calculated further in the following ways:

[0072] The above observation efficiency factor Q C The calculation formula is as follows:

[0073]

[0074] Among them, C basic This indicates the average double coverage of the constellation system at key altitudes (preferred, such as 200km, 400km, 600km, 1000km, 1500km) of global airspace; C loss C represents the average double coverage of key airspace (preferably latitude 20°-50°, longitude -120°-60°) after the loss of x (preferably 5) satellites in the constellation system, used to reflect the constellation system's resilience to damage; cap Characterizes the multi-objective capabilities of the constellation system.

[0075] In some preferred embodiments, the above-mentioned C cap The calculation is based on the ratio of the number of targets that can be stably tracked in a key area by the constellation system to the total number of all targets (preferably 200 targets); where:

[0076] The specific calculation method for the number of targets that can be stably tracked in the aforementioned key areas may further include the following operations:

[0077] Define a minimum time t that can stably track, preferably 10s;

[0078] Several target points are uniformly sampled in the key area. The average duration T of continuous observation of the target point by the satellites in the constellation system is calculated. The average N-fold coverage rate n of the target point by the satellite sensors in the constellation is obtained. The number of targets that can be stably tracked is n / 2*T / t.

[0079] In some preferred embodiments, the aforementioned construction cost factor Q P It can also be calculated further in the following ways:

[0080] The above construction cost factor Q P The calculation formula is as follows:

[0081]

[0082] Among them, P maxThis indicates the cost budget for constructing the constellation system, preferably 1 billion yuan; P sys This represents an estimated actual construction cost of the constellation system, including satellite manufacturing costs and constellation system launch costs.

[0083] In some preferred embodiments, the aforementioned network performance factor Q N It can also be calculated further in the following ways:

[0084] The aforementioned network performance factor Q N The calculation formula is as follows:

[0085]

[0086] Where T represents the period time, defined as one orbital period; N a N represents the average link establishment time for all satellites within the period; s N represents the average time during which the network configuration remains stable within a given period; l L represents the average number of off-track links within the constellation system; L represents the total number of all links within the constellation system.

[0087] In some preferred embodiments, the above-mentioned N a It can also be calculated further in the following ways:

[0088] First, calculate the average link establishment time for a satellite:

[0089]

[0090] Where, N a，i Let m represent the average link establishment time for the i-th satellite, m be the total number of links that satellite i can establish in one cycle, and a be the average link establishment time for the i-th satellite. i，1 a i，2 ... a i，m These represent the durations of the first to m links established by satellite i within one cycle;

[0091] Then, calculate the average of the average link establishment times for all satellites, which is the average possible link establishment time N for the satellites. a .

[0092] In some preferred embodiments, the above-mentioned N s It can also be calculated further in the following ways:

[0093] When the connection mode of a link within a constellation system changes (connects or disconnects), it indicates a change in the constellation system's network configuration. When the connection mode of the links within the constellation system remains unchanged, the constellation system's network configuration remains stable. The period of time (a certain state) during which the constellation system's network configuration remains stable is called a time slice. The average time N during this period is then taken as the network configuration remains stable. s The calculation method is as follows:

[0094]

[0095] Where, N s The time taken for the network configuration to remain stable within a period represents the average time during which the network configuration remains stable. M represents the total number of time slices within the period, s1, s2, ..., s M These represent the durations of the first to M time slices within the period, respectively.

[0096] In some preferred embodiments, the above-mentioned N l It can also be calculated further in the following ways:

[0097]

[0098] Where, N l The number of interorbit links within the constellation represents the average number of interorbit links, M represents the total number of time slices within the period, and l1, l2, ..., l M These represent the number of inter-orbit links within the constellation during the first to M time slices of the period.

[0099] The technical solution provided by the above embodiments of the present invention will be further described in detail below with reference to a specific application example.

[0100] In this specific application example, the multi-dimensional fusion evaluation method provided in the above embodiments of the present invention is used to analyze the following candidate constellation configurations.

[0101] The alternative constellation configurations are shown in Table 1.

[0102] Table 1 Alternative constellation configurations

[0103] constellation configuration Number of orbital surfaces Number of satellites orbital height track inclination Walker 36 / 6 / 1 6 36 1200km 60deg Walker 32 / 4 / 1 4 32 1200km 60deg Walker 35 / 5 / 0 5 35 1200km 60deg

[0104] Based on the constraints of different constellation configurations in Table 1, the calculation results of the comprehensive constellation effectiveness for different configurations are shown in Table 2.

[0105] Table 2: Comparison of Overall Constellation Performance

[0106]

[0107] Analysis of the above specific examples shows that assigning different weights to each item of the comprehensive performance evaluation factor yields different evaluation results. When observation performance is considered in a limited way, Walker 36 / 6 / 1 obtains the best evaluation result; when network performance is prioritized, Walker 36 / 6 / 1 obtains the best evaluation result; and when cost control is prioritized, Walker 32 / 4 / 1 / obtains the best evaluation result. Therefore, the evaluation method provided by the above embodiments of the present invention can effectively evaluate large remote sensing constellations from multiple dimensions.

[0108] Based on the same inventive concept, one embodiment of the present invention also provides a multi-dimensional fusion evaluation system for large remote sensing constellations.

[0109] Specifically, such as Figure 2 As shown, the multi-dimensional fusion evaluation system for large remote sensing constellations provided in this embodiment may include the following modules:

[0110] The comprehensive performance evaluation factor construction module is used to obtain the observed performance factor Q. C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy W C +W P +W N =1;

[0111] The comprehensive performance evaluation model construction module utilizes the aforementioned observed performance factor Q. C System construction cost factor Q P and network performance factor Q N The comprehensive performance evaluation model R is constructed as follows:

[0112] R = w C Q c +w P Q P +w N Q N

[0113] in:

[0114] The above observation efficiency factor Q c Used to characterize the coverage performance, damage resistance, and multi-target capacity of a constellation system;

[0115] The above system construction cost factor Q P Used to characterize the construction cost of a constellation system;

[0116] The aforementioned network performance factor Q NUsed to characterize the network communication performance of a constellation system after networking, mainly including network topology stability and communication latency;

[0117] The multi-dimensional fusion evaluation module is used to perform multi-dimensional fusion evaluation of large remote sensing constellation systems through the aforementioned comprehensive performance evaluation model R, thereby obtaining the comprehensive performance of the constellation system.

[0118] It should be noted that the steps in the method provided by the present invention can be implemented using corresponding modules, devices, units, etc. in the system. Those skilled in the art can refer to the technical solution of the method to realize the composition of the system. That is, the embodiments in the method can be understood as preferred examples for building the system, and will not be elaborated here.

[0119] An embodiment of the present invention also provides a computer terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it can be used to execute the method of any of the above embodiments of the present invention, or to run the system of any of the above embodiments of the present invention.

[0120] Optionally, the memory is used to store programs; the memory may include volatile memory, such as random-access memory (RAM), such as static random-access memory (SRAM), double data rate synchronous dynamic random-access memory (DDR SDRAM), etc.; the memory may also include non-volatile memory, such as flash memory. The memory is used to store computer programs (such as application programs, functional modules, etc. that implement the above methods), computer instructions, etc., and the aforementioned computer programs, computer instructions, etc., can be partitioned and stored in one or more memories. Furthermore, the aforementioned computer programs, computer instructions, data, etc., can be accessed by the processor.

[0121] The aforementioned computer programs, computer instructions, etc., can be stored in partitions within one or more memory locations. Furthermore, the aforementioned computer programs, computer instructions, data, etc., can be accessed by a processor.

[0122] A processor is used to execute computer programs stored in memory to implement the various steps of the methods or various modules of the systems involved in the above embodiments. For details, please refer to the relevant descriptions in the preceding method and system embodiments.

[0123] The processor and memory can be separate structures or integrated structures. When the processor and memory are separate structures, they can be coupled together via a bus.

[0124] An embodiment of the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can be used to perform the method of any of the above embodiments of the present invention, or to run the system of any of the above embodiments of the present invention.

[0125] Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of computer programs from one place to another. Storage media can be any available medium accessible to a general-purpose or special-purpose computer. An exemplary storage medium is coupled to a processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. Alternatively, the ASIC can reside in a user device. Of course, the processor and storage medium can also exist as discrete components in a communication device.

[0126] The multi-dimensional fusion evaluation method and system for large remote sensing constellations provided in the above embodiments of the present invention solves the problems of single-dimensional evaluation, lack of comprehensiveness and accuracy in current remote sensing satellite constellation evaluations. By comprehensively considering multiple key indicators such as constellation construction cost, observation efficiency, and network communication performance, it achieves a comprehensive evaluation and comparison of large remote sensing constellations. This multi-dimensional and comprehensive evaluation method can more accurately grasp the advantages and disadvantages of large remote sensing constellations in different aspects, providing reliable support and decision-making references for scientific research and applications in related fields. It will provide new ideas and methods for the evaluation and development of remote sensing satellite constellations, promoting progress and development in related fields. It can comprehensively consider the performance of large constellations in multiple aspects such as coverage performance, damage resistance, target tracking stability, and other key performance indicators, quantifying the importance of each indicator and combining them to more accurately evaluate the overall performance of the constellation. By comprehensively considering various indicators, it can more comprehensively understand the advantages and disadvantages of the constellation, providing more reliable support and decision-making basis for scientific research and applications in related fields. Simultaneously, it considers communication parameter indicators, overcoming the limitations of existing evaluation methods and achieving a comprehensive evaluation and comparison of large remote sensing constellations.

[0127] Any matters not covered in the above embodiments of the present invention are well-known in the art.

[0128] The 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 modifications or variations within the scope of the claims, which do not affect the essence of the present invention.

Claims

1. A multi-dimensional fusion evaluation method for large remote sensing constellations, characterized in that, include: Obtain the observation efficiency factor Q respectively C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy w C +w R +w N =1; Using the observation efficiency factor Q C System construction cost factor Q P and network performance factor Q N The comprehensive performance evaluation model R is constructed as follows: R=w C Q C +w P Q P +w N Q N in: The observation efficiency factor Q C Used to characterize the system's coverage performance, damage resistance, and multi-target capacity; The system construction cost factor Q P Used to characterize the construction cost of the system; The network performance factor Q N Used to characterize the network communication performance of a constellation system after networking; The comprehensive performance evaluation model R is used to conduct a multi-dimensional fusion evaluation of large-scale remote sensing constellation systems.

2. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 1, characterized in that, The observation efficiency factor Q C It is calculated in the following way: The observation efficiency factor Q C The calculation formula is as follows: Among them, C basic This indicates the average double coverage of the constellation system at major altitudes of global airspace; C loss This represents the average double coverage of key airspace after the constellation system loses x satellites, used to reflect the constellation system's resilience; C cap Characterizes the multi-objective capabilities of the constellation system.

3. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 2, characterized in that, The C cap The calculation is based on the ratio of the number of targets that can be stably tracked in key areas to the total number of all targets using a constellation system; where: The specific calculation method for the number of targets that can be stably tracked in the key area includes: Define a minimum time t that allows for stable tracking; Several target points are uniformly sampled in the key area. The average duration T of continuous observation of the target point by the satellites in the constellation system is calculated. The average N-fold coverage rate n of the target point by the satellite sensors in the constellation system is obtained. The number of targets that can be stably tracked is n / 2*T / t.

4. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 1, characterized in that, The construction cost factor Q P It is calculated in the following way: The construction cost factor Q P The calculation formula is as follows: Among them, P max This indicates the cost budget for constructing the constellation system, preferably 1 billion yuan; P sys This represents an estimated actual construction cost of the constellation system, including satellite manufacturing costs and constellation system launch costs.

5. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 1, characterized in that, The network performance factor Q N It is calculated in the following way: The network performance factor Q N The calculation formula is as follows: Where T represents the period time, defined as one orbital period; N a N represents the average link establishment time for all satellites within the period; s N represents the average time during which the network configuration remains stable within a given period; l L represents the average number of off-track links within the constellation system; L represents the total number of all links within the constellation system.

6. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 5, characterized in that, The N a It is calculated in the following way: First, calculate the average link establishment time for a satellite: Where, N a，i Let m represent the average link establishment time for the i-th satellite, m be the total number of links that satellite i can establish in one cycle, and a be the average link establishment time for the i-th satellite. i，1 a i，2 ... a i，m These represent the durations of the first to m links established by satellite i within one cycle; Then, calculate the average of the average link establishment times for all satellites, which is the average possible link establishment time N for the satellites. a .

7. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 5, characterized in that, The N s It is calculated in the following way: When the connection mode of one link within a constellation system changes (connects or disconnects), it indicates a change in the constellation system's network configuration. When the connection mode of the links within the constellation system remains unchanged, the constellation system's network configuration remains stable. The period during which the constellation system's network configuration remains stable is called a time slice. The average time N during this period is then defined as the average time N during which the network configuration remains stable. s The calculation method is as follows: Where, N s The time taken for the network configuration to remain stable within a period represents the average time during which the network configuration remains stable. M represents the total number of time slices within the period, s1, s2, ..., s M These represent the durations of the first to M time slices within the period, respectively.

8. The multi-dimensional fusion evaluation method for large remote sensing constellations according to claim 5, characterized in that, The N l It is calculated in the following way: Where, N l The number of interorbit links within the constellation represents the average number of interorbit links, M represents the total number of time slices within the period, and l1, l2, ..., l M These represent the number of inter-orbit links within the constellation during the first to M time slices of the period.

9. A multi-dimensional fusion evaluation system for large-scale remote sensing constellations, characterized in that, include: The comprehensive performance evaluation factor construction module is used to obtain the observed performance factor Q. C System construction cost factor Q P and network performance factor Q N And make the weights of each factor satisfy w C +w P +w N =1; The comprehensive performance evaluation model construction module utilizes the observed performance factor Q. C System construction cost factor Q P and network performance factor Q N The comprehensive performance evaluation model R is constructed as follows: R=w C Q C +w P Q P +w N Q N in: The observation efficiency factor Q C Used to characterize the coverage performance, damage resistance, and multi-target capacity of a constellation system; The system construction cost factor Q P Used to characterize the construction cost of a constellation system; The network performance factor Q N Used to characterize the network communication performance of a constellation system after networking, mainly including network topology stability and communication latency; A multi-dimensional fusion evaluation module is used to perform multi-dimensional fusion evaluation of large remote sensing constellation systems using the comprehensive performance evaluation model R.

10. A computer terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it can be used to perform the method of any one of claims 1-8, or to run the system of claim 9.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program can be used to perform the method of any one of claims 1-8, or to run the system of claim 9.

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