CN-122001431-A - Multi-dimensional fusion evaluation method and system for large remote sensing constellation

CN122001431ACN 122001431 ACN122001431 ACN 122001431ACN-122001431-A

Abstract

The invention provides a multi-dimensional fusion evaluation method and system for a large remote sensing constellation, which are used for respectively acquiring an observation efficiency factor, a system construction cost factor and a network performance factor, enabling the sum of weights of all factors to be equal to 1, constructing a comprehensive efficiency evaluation model by utilizing the observation efficiency factor, the system construction cost factor and the network performance factor, wherein 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 the network communication performance of the constellation after networking, and carrying out multi-dimensional fusion evaluation on the large remote sensing constellation through the comprehensive efficiency evaluation model. Aiming at the task demand of the space large-scale networking collaborative constellation, the invention comprehensively considers factors such as system construction cost, network communication performance and the like, and realizes the quantitative evaluation of the comprehensive efficiency of different constellation configurations.

Inventors

CAI JINGYING
ZHANG CHENGYU
SHI QI
LIU YAN
WEN ZHIJIANG
WANG CHEN

Assignees

中国科学院微小卫星创新研究院
上海微小卫星工程中心

Dates

Publication Date: 20260508
Application Date: 20241101

Claims (11)

1. A multi-dimensional fusion evaluation method for a large remote sensing constellation is characterized by comprising the following steps: Respectively acquiring an observation efficiency factor Q C , a system construction cost factor Q P and a network performance factor Q N , and enabling the weight of each factor to meet the condition that w C +w R +w N =1; Utilizing the observation efficiency factor Q C , the system construction cost factor Q P and the network performance factor Q N , constructing a comprehensive efficiency evaluation model R as follows: R=w C Q C +w P Q P +w N Q N Wherein: The observation efficiency factor Q C is used for representing the coverage performance, the damage resistance performance and the multi-target capacity of the system; the system construction cost factor Q P is used for representing the construction cost of the system; The network performance factor Q N is used for representing the network communication performance after the constellation system is networked; And carrying out multidimensional fusion evaluation on the large-scale remote sensing constellation system through the comprehensive effectiveness evaluation model R.
2. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 1, wherein the observation efficiency factor Q C is calculated by: The calculation formula of the observation efficiency factor Q C is as follows: Wherein, C basic represents the average double coverage rate of the constellation system to the main height of the global airspace, C loss represents the average double coverage rate of the constellation system to the heavy airspace after x satellites are lost, which is used for reflecting the anti-damage capability of the constellation system, and C cap represents the multi-target capability of the constellation system.
3. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 2, wherein the C cap is calculated by a constellation system based on the ratio of the number of targets that can be stably tracked in a key area to the total number of all targets, and wherein: the specific calculation method for the target quantity which can be stably tracked in the key region comprises the following steps: Defining a minimum time t capable of stably tracking; and uniformly extracting a plurality of target points in the key region, calculating an average value T of continuous observation duration of the target points in a single time of satellites in the constellation system, and obtaining an average N weight coverage rate N of the sensors of the satellites in the constellation system to the target points to obtain the stable tracking target quantity = N/2*T/T.
4. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 1, wherein the construction cost factor Q P is calculated by: The calculation formula of the construction cost factor Q P is as follows: Where P max represents the cost budget for the construction of the constellation, preferably as 10-billion-ary, and P sys represents an estimate of the actual construction cost of the constellation, including the satellite manufacturing cost and the constellation transmission cost.
5. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 1, wherein the network performance factor Q N is calculated by: the calculation formula of the network performance factor Q N is as follows: Wherein T represents period time, which is defined as an orbit period, N a represents average chain establishment time of all satellites in the period time, N s represents average stable maintenance time of network configuration in the period time, N l represents average out-of-orbit link number in a constellation system, and L represents total number of all links in the constellation system.
6. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 5, wherein the N a is calculated by: Firstly, calculating the average link establishment time length of a satellite: Wherein N a,i represents the average link establishment duration of the ith satellite, m is the total number of links that can be established in one period of satellite i, and a i,1 、a i,2 、…、a i,m represents the duration of the 1 st to m th links established in one period of satellite i respectively; Then, an average value of average link establishment time lengths of all satellites is calculated, namely the average link establishment time length N a of the satellites.
7. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 5, wherein the N s is calculated by: When the connection mode of a link in the constellation system is changed, namely the constellation system network configuration is changed, and when the connection mode of the link in the constellation system is not changed, the constellation system network configuration is kept stable, and a period of time when the constellation system network configuration is kept stable is called a time slice, the calculation mode of the time N s when the network configuration is kept stable in a period is as follows: Where N s represents the time during which the network configuration remains stable on average in the period, M represents the total number of time slices in the period, and s 1 、s 2 、…、s M represents the duration of the 1 st to M th time slices in the period, respectively.
8. The multi-dimensional fusion evaluation method for a large remote sensing constellation according to claim 5, wherein the N l is calculated by: Wherein N l represents the average number of off-track links in the constellation, M represents the total number of time slices in the period, and l 1 、l 2 、…、l M represents the number of off-track links in the constellation from 1 st to M time slices in the period, respectively.
9. A multi-dimensional fusion evaluation system for a large remote sensing constellation, comprising: The comprehensive efficiency evaluation factor constructing module is used for respectively acquiring an observation efficiency factor Q C , a system construction cost factor Q P and a network performance factor Q N , and enabling the weights of all factors to meet w C +w P +w N =1; The comprehensive efficiency evaluation model building module utilizes the observed efficiency factor Q C , the system construction cost factor Q P and the network performance factor Q N to build a comprehensive efficiency evaluation model R as follows: R=w C Q C +w P Q P +w N Q N Wherein: The observation efficiency factor Q C is used for representing the coverage performance, the damage resistance performance and the multi-target capacity of the constellation system; The system construction cost factor Q P is used for representing the construction cost of a constellation system; The network performance factor Q N is used for representing the network communication performance of the constellation system after networking, and mainly comprises the stability of network topology, communication time delay and the like; And the multidimensional fusion evaluation module is used for carrying out multidimensional fusion evaluation on the large-scale remote sensing constellation system through the comprehensive efficiency evaluation model R.
10. A computer terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor is operable to perform the method of any one of claims 1-8 or to run the system of claim 9 when the computer program is executed by the processor.
11. A computer readable storage medium having stored thereon a computer program, which, when executed by a processor, is operable to perform the method of any of claims 1-8 or to run the system of claim 9.

Description

Multi-dimensional fusion evaluation method and system for large remote sensing constellation Technical Field The invention relates to the technical field of aerospace, in particular to a multi-dimensional fusion evaluation method and system for a large remote sensing constellation, and simultaneously relates to a corresponding computer terminal and a computer readable storage medium. Background With the continuous innovation and development of remote sensing technology, the construction and application of large remote sensing satellite constellations are becoming an important trend in the remote sensing field. In recent years, the number of large remote sensing constellations is increased in an explosive manner, the large constellations are composed of a plurality of satellites, the coverage area is wide, the data acquisition frequency is high, high-resolution global remote sensing data can be provided, and the large remote sensing constellations have important significance in the aspects of monitoring the earth surface, resource management, environmental protection and the like. Representative remote sensing satellite constellations which are transmitted are ICEYE, skysat, rapidEye, french Pleiades and the like, and the number of satellites is 5-20. However, in the scheme proposed by the company such as SatRevolution, theia Satellite Network, which is a large-scale observation satellite constellation in planning, the number of satellites is hundreds to thousands. Satellite constellations are evolving towards larger sizes. However, despite the great success of large remote sensing satellite constellations in providing remote sensing data, there are still limitations to the current methods for evaluation thereof. Conventional evaluation methods usually only focus on a single dimension index, such as resolution or coverage, when evaluating a large remote sensing constellation, which has significant limitations. The conventional evaluation method cannot comprehensively consider the performance of a large constellation in all aspects, so that the overall performance of the large constellation is difficult to objectively and accurately evaluate. For example, the resolution of a constellation may be very high, but its coverage is relatively limited, or the frequency of data updates may not be fast enough, and such single-dimensional evaluation results often do not fully reflect the overall performance of the constellation. Disclosure of Invention The invention provides a multi-dimensional fusion evaluation method and system for a large remote sensing constellation and provides a corresponding computer terminal and a computer readable storage medium. According to one aspect of the invention, a multi-dimensional fusion evaluation method for a large remote sensing constellation is provided, comprising the following steps: respectively acquiring an observation efficiency factor Q C, a system construction cost factor Q P and a network performance factor Q N, and enabling the weight of each factor to meet the condition that w C+wP+wN =1; Utilizing the observation efficiency factor Q C, the system construction cost factor Q P and the network performance factor Q N, constructing a comprehensive efficiency evaluation model R as follows: R=wCQC+wPQP+wNQN Wherein: The observation efficiency factor Q C is used for representing the coverage performance, the damage resistance performance and the multi-target capacity of the constellation system; The system construction cost factor Q P is used for representing the construction cost of a constellation system; The network performance factor Q N is used for representing the network communication performance after the constellation system is networked; And carrying out multidimensional fusion evaluation on the large-scale remote sensing constellation system through the comprehensive effectiveness evaluation model R. Preferably, the observed efficacy factor Q C is calculated by: The calculation formula of the observation efficiency factor Q c is as follows: Wherein, C basic represents the average double coverage rate of the constellation system to the main height of the global airspace, C loss represents the average double coverage rate of the constellation system to the heavy airspace after x satellites are lost, which is used for reflecting the anti-damage capability of the constellation system, and C cap represents the multi-target capability of the constellation system. Preferably, the C cap is calculated by a constellation system based on the ratio of the number of targets that can be stably tracked in the key region to the total number of all targets, where: the specific calculation method for the target quantity which can be stably tracked in the key region comprises the following steps: Defining a minimum time t capable of stably tracking; and uniformly extracting a plurality of target points in the key region, calculating an average value T of continuous observation duratio