A method for evaluating the application capability of on-board information processing for broadcast distribution tasks
By establishing a comprehensive evaluation system, the on-satellite processing and broadcast distribution capabilities of remote sensing satellites are used to comprehensive weight coefficient scoring, which solves the problem of lack of targetedness in traditional evaluation methods, and achieves the accuracy and effectiveness of quantitative evaluation.
Patent Information
- Application Number
- CN202211692412.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-12-28
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2042-12-28
AI Technical Summary
The traditional remote sensing satellite system capability evaluation method lacks targetedness and is difficult to directly apply to on-satellite processing and broadcast distribution capability evaluation, which affects the accuracy and effectiveness of quantitative evaluation.
A method for evaluation of on-star processing information application capabilities for broadcast distribution tasks is proposed. By establishing an evaluation system including on-star processing task capabilities, on-star data processing capabilities, information broadcast distribution capabilities and information service application capabilities, a comprehensive weight coefficient score is used to provide an objective evaluation basis.
Quantitative evaluation of the application capabilities of on-satellite processing and broadcast distribution information on remote sensing satellites is realized, which improves the accuracy and effectiveness of the evaluation, and can objectively evaluate whether the remote sensing satellite meets the requirements of on-satellite processing and broadcast distribution information on-satellite processing and broadcast distribution information.
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Figure CN116232421B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of on-board processing capability evaluation, and in particular relates to an on-board information processing application capability evaluation method for broadcast distribution tasks. Background Art
[0002] On-board processing and broadcast distribution of remote sensing satellites is an effective way to directly apply remote sensing satellite observation information to users at all levels. It has the characteristics of fewer intermediate links, high timeliness, and serving many users at the same time. It can make full use of the characteristics of remote sensing satellites such as high stations, far vision, and no impact from national boundaries to directly provide services to users at all levels and types. With the continuous improvement of on-board processing and broadcast distribution capabilities of remote sensing satellites, there is an urgent need to evaluate the on-board processing and broadcast distribution capabilities of remote sensing satellites. Traditional remote sensing satellite system capability evaluation methods usually establish evaluation models based on the composition of remote sensing satellite systems and combined with the main indicators of the satellite-ground system. They lack pertinence and are difficult to be directly applied in the evaluation of on-board processing and broadcast distribution capabilities, which affects the quantitative evaluation of the on-board processing and broadcast distribution application capabilities of remote sensing satellites. Summary of the invention
[0003] In view of the above technical problems, the present invention discloses an evaluation method and system.
[0004] The first aspect of the present invention discloses an on-board processing information application capability evaluation method for broadcast distribution tasks, which is used to evaluate the on-board processing and broadcast distribution information application capabilities of remote sensing satellites; the method comprises: establishing an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determining the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; wherein, E=100×[ε1×E1+ε2×E2×E3+ε3×E4], ε1, ε2, ε3 are weight coefficients, and
[0005]
[0006] In a preferred embodiment, the on-board processing task capability E1 is determined by the following formula:
[0007]
[0008] Among them, a1 represents the on-board mission implementation rate, a 01 represents the expected value of the on-board mission implementation rate; a2 represents the on-board mission processing capacity, a 02 represents the expected value of the on-board mission processing capacity; a3 represents the on-board mission planning accuracy, a 03 represents the expected accuracy of the on-board mission plan; a4 represents the timeliness of the on-board mission response, a 04represents the expected value of the onboard mission response timeliness; α1, α2, α3, and α4 are the weight coefficients of a1, a2, a3, and a4, respectively, and
[0009] In a preferred embodiment, the on-board data processing capability E2 is determined by the following formula:
[0010]
[0011] Where b1 represents the on-board processing delay, b 01 represents the expected value of on-board processing delay; b2 represents the accuracy of the observed target, b 02 represents the expected value of the observed target accuracy; b3 represents the target positioning accuracy, b 03 Indicates the expected value of target positioning accuracy.
[0012] In a preferred embodiment, the observed target accuracy b2 is determined by the following formula:
[0013]
[0014] in, They represent the target detection rate, average false alarm density and target recognition rate of the observed target respectively; They represent the expected value of target detection rate, the expected value of average false alarm density and the expected value of target recognition rate respectively; β i Indicates i The target accuracy weight coefficient of the target processed on the satellite is: n is the total number of observed target types, i = 1, 2, ... n; k1, k2, k3 represent the weight coefficients of the target detection rate, the average false alarm density and the target recognition rate, respectively, and
[0015]
[0016] In a preferred embodiment, the information broadcast distribution capability E3 is determined by the following formula:
[0017]
[0018] Where c1 represents the broadcast distribution delay, c 01 represents the expected broadcast distribution delay; c2 represents the distribution transmission rate, c 02 represents the expected value of the distribution transmission rate; C3 represents the broadcast distribution bit error rate, c 03 Indicates the expected value of the broadcast distribution bit error rate.
[0019] In a preferred embodiment, the information service application capability E4 is determined by the following formula:
[0020]
[0021] Among them, d1 represents the information demand satisfaction rate, d 01 represents the expected value of information demand satisfaction rate; d2 represents the completion rate of information service tasks, d 02 represents the expected value of the information service task completion rate; d3 represents the timeliness of information service, d 03 represents the expected value of information service timeliness; d4 represents the user satisfaction rate, d 04 represents the expected value of user satisfaction rate; γ1, γ2, γ3, γ4 represent the weight coefficients of d1, d2, d3, d4 respectively, and
[0022] The second aspect of the present invention discloses an on-board processing information application capability evaluation system for broadcast distribution tasks, which is used to evaluate the on-board processing and broadcast distribution information application capabilities of remote sensing satellites; the system includes a processing unit, which is configured to: establish an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determine the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; wherein E=100×[ε1×E1+ε2×E2×E3+ε3×E4], ε1, ε2, ε3 are weight coefficients, and
[0023] The third aspect of the present invention discloses an electronic device, wherein the electronic device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the method of the first aspect are implemented.
[0024] A fourth aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the method of the first aspect are implemented.
[0025] In summary, the present invention realizes the evaluation of the onboard processing and broadcast distribution information application capability of remote sensing satellites. By using the main performance indicators of remote sensing satellites and the actual onboard processing and broadcast distribution mission data, an onboard processing information application capability evaluation method for broadcast distribution tasks is adopted to give a comprehensive score, thereby providing an objective evaluation basis for quantitatively evaluating whether the remote sensing satellite meets the onboard processing and broadcast distribution information application requirements, which is conducive to improving the accuracy and effectiveness of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0027] Figure 1 The figure is a flow chart of a method for evaluating the on-board information processing application capability for broadcast distribution tasks according to an embodiment of the present invention. DETAILED DESCRIPTION
[0028] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0029] The first aspect of the present invention discloses an on-board processing information application capability evaluation method for broadcast distribution tasks, which is used to evaluate the on-board processing and broadcast distribution information application capabilities of remote sensing satellites; the method comprises: establishing an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determining the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; wherein, E=100×[ε1×E1+ε2×E2×E3+ε3×E4], ε1, ε2, ε3 are weight coefficients, and
[0030] Evaluate the on-board processing and broadcast distribution information application capabilities of remote sensing satellites, establish an on-board processing and broadcast distribution information application capability indicator system, which is composed of elements such as on-board mission processing capability (E1), on-board data processing capability (E2), information broadcast distribution capability (E3), and information service application capability (E4).
[0031] The on-board mission processing capability (E1) mainly evaluates the ability of remote sensing satellites to accept, plan and generate mission plans for on-board processing and broadcast distribution tasks. The evaluation indicators include on-board mission implementation rate, on-board mission processing volume, on-board mission plan accuracy and on-board mission response timeliness.
[0032] The on-board data processing capability (E2) mainly evaluates the ability of remote sensing satellites to pre-process, detect and identify the perception data obtained through observation and produce information products. The evaluation indicators include on-board processing delay, target accuracy, target positioning accuracy, etc. Among them, the target accuracy is evaluated based on indicators such as target detection rate, average false alarm density, and target recognition rate.
[0033] The information broadcast distribution capability (E3) mainly evaluates the ability of remote sensing satellites to broadcast and distribute information processed on board. The evaluation indicators include broadcast distribution delay, distribution transmission rate, broadcast distribution bit error rate, etc.
[0034] Information service application capability (E4) mainly evaluates the ability of remote sensing satellites to process and broadcast information on board to directly serve users at all levels. Evaluation indicators include information demand satisfaction rate, information service task completion rate, information service timeliness, user satisfaction rate, etc.
[0035] According to the components of on-board processing and broadcast distribution information application capability and the importance of related indicators, combined with actual operation experience, the calculation method of application comprehensive capability E is as follows:
[0036] E=100×[ε1×E1+ε2×E2×E3+ε3×E4]
[0037] Among them, ε1, ε2, and ε3 are the weight coefficients of the evaluation indicators corresponding to the on-board processing and broadcast distribution information application capabilities, and
[0038] In a preferred embodiment, the on-board processing task capability E1 is determined by the following formula:
[0039]
[0040] Among them, a1 represents the on-board mission implementation rate, α 01 represents the expected value of the on-board mission implementation rate; a2 represents the on-board mission processing capacity, a 02 represents the expected value of the on-board mission processing capacity; a3 represents the on-board mission planning accuracy, a 03 represents the expected accuracy of the on-board mission plan; a4 represents the timeliness of the on-board mission response, a 04 It represents the expected value of the response time of the on-board mission; α 1. α 2. α 3. α4 are the weight coefficients of a1, a2, a3 and a4 respectively, and
[0041] The on-board task processing capability E1 is mainly evaluated based on the evaluation results of indicators such as on-board task implementation rate, on-board task processing volume, on-board task planning accuracy and on-board task response timeliness. The on-board task implementation rate refers to the ratio of the number of on-board processing tasks executed by the remote sensing satellite within a period of time to the number of on-board processing tasks received; the on-board task processing volume refers to the total number of on-board processing and broadcast distribution tasks executed by the remote sensing satellite within a period of time; the on-board task planning accuracy refers to the average accuracy of the on-board observation task plan within a period of time; the on-board task response timeliness refers to the time from the remote sensing satellite receiving the on-board processing and broadcast distribution tasks to the completion of the task plan generation.
[0042] In a preferred embodiment, the on-board data processing capability E2 is determined by the following formula:
[0043]
[0044] Where b1 represents the on-board processing delay, b 01 represents the expected value of on-board processing delay; b2 represents the accuracy of the observed target, b 02 represents the expected value of the observed target accuracy; b3 represents the target positioning accuracy, b 03 Indicates the expected value of target positioning accuracy.
[0045] The on-board data processing capability E2 is mainly evaluated based on the evaluation results of indicators such as on-board processing delay, target accuracy, and target positioning accuracy. The on-board processing delay refers to the time taken for the observation data acquired by the remote sensing satellite to be processed on-board and the entire process of completing the production of information products. The target accuracy refers to the probability of accurately discovering the target from the acquired observation data, and is evaluated in combination with indicators such as target detection rate, average false alarm density, and target recognition rate. The target detection rate refers to the probability of detecting and obtaining target information when the observation data is processed on-board; the average false alarm density refers to the number of false targets generated per unit area; and the target recognition rate refers to the probability of successfully identifying the target information obtained through detection. Target positioning accuracy refers to the error accuracy of the target position information generated by on-board processing.
[0046] In a preferred embodiment, the observed target accuracy b2 is determined by the following formula:
[0047]
[0048] in, They represent the target detection rate, average false alarm density and target recognition rate of the observed target respectively; They represent the expected value of target detection rate, the expected value of average false alarm density and the expected value of target recognition rate respectively; β irepresents the target accuracy weight coefficient of the i-th observed target on-board processing; n is the total number of observed target types, i=1, 2, ...n; k1, k2, k3 represent the weight coefficients of the target detection rate, the average false alarm density and the target recognition rate, respectively, and
[0049] The target accuracy b2 is mainly evaluated based on the target detection rate, average false alarm density, target recognition rate and other evaluation results. The specific evaluation results of the indicators vary depending on the type of targets processed on the satellite.
[0050] In a preferred embodiment, the information broadcast distribution capability E3 is determined by the following formula:
[0051]
[0052] Where c1 represents the broadcast distribution delay, c 01 represents the expected broadcast distribution delay; c2 represents the distribution transmission rate, c 02 represents the expected value of the distribution transmission rate; c3 represents the broadcast distribution bit error rate, c 03 Indicates the expected value of the broadcast distribution bit error rate.
[0053] The information broadcast distribution capability E3 is mainly evaluated based on the evaluation results of indicators such as broadcast distribution delay, distribution transmission rate, and broadcast distribution bit error rate. The broadcast distribution delay refers to the delay time from the start of broadcast distribution by the remote sensing satellite to the successful completion of information transmission. The distribution transmission rate refers to the data transmission rate of the remote sensing satellite transmitting the onboard processing results through the broadcast distribution channel. The broadcast distribution bit error rate refers to the ratio of the sum of the number of erroneous code elements in the satellite broadcast distribution data received by the user terminal system to the total number of code elements.
[0054] In a preferred embodiment, the information service application capability E4 is determined by the following formula:
[0055]
[0056] Among them, d1 represents the information demand satisfaction rate, d 01 represents the expected value of information demand satisfaction rate; d2 represents the completion rate of information service tasks, d 02 represents the expected value of the information service task completion rate; d3 represents the timeliness of information service, d 03 represents the expected value of information service timeliness; d4 represents the user satisfaction rate, d 04 represents the expected value of user satisfaction rate; γ1, γ2, γ3, γ4 represent the weight coefficients of d1, d2, d3, d4 respectively, and
[0057] Information service application capability E4 is mainly evaluated based on the evaluation results of indicators such as information demand satisfaction rate, information service task completion rate, information service timeliness, and user satisfaction rate. The information demand satisfaction rate refers to the ratio of the number of on-board processing, broadcasting and distribution tasks generated according to information service needs to the total number of information service needs; the information service task completion rate refers to the ratio of the total number of tasks generated for on-board processing and broadcasting distribution task plans and completing information services to the total number of on-board processing and broadcasting distribution task plans generated; the user satisfaction rate refers to the ratio of the total number of tasks for user terminal systems to receive satellite broadcasting and distribution data to the total number of on-board processing and broadcasting distribution task needs proposed.
[0058] The second aspect of the present invention discloses an on-board processing information application capability evaluation system for broadcast distribution tasks, which is used to evaluate the on-board processing and broadcast distribution information application capabilities of remote sensing satellites; the system includes a processing unit, which is configured to: establish an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determine the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; wherein E=100×[ε1×E1+ε2×E2×E3+ε3×E4], ε1, ε2, ε3 are weight coefficients, and
[0059] The third aspect of the present invention discloses an electronic device, wherein the electronic device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps in the method of the first aspect are implemented.
[0060] A fourth aspect of the present invention discloses a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the method of the first aspect are implemented.
[0061] In summary, the present invention realizes the evaluation of the onboard processing and broadcast distribution information application capability of remote sensing satellites. By using the main performance indicators of remote sensing satellites and the actual onboard processing and broadcast distribution mission data, an onboard processing information application capability evaluation method for broadcast distribution tasks is adopted to give a comprehensive score, thereby providing an objective evaluation basis for quantitatively evaluating whether the remote sensing satellite meets the onboard processing and broadcast distribution information application requirements, which is conducive to improving the accuracy and effectiveness of the evaluation.
[0062] Please note that the technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification. The above-mentioned embodiments only express several implementation methods of the present application, and their descriptions are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several variations and improvements can be made, which all belong to the scope of protection of the present application. Therefore, the scope of protection of the patent in this application shall be based on the attached claims.
Claims
1. A method for evaluating the onboard processing information application capability for broadcast distribution tasks, which is used to evaluate the onboard processing and broadcast distribution information application capability of remote sensing satellites; comprising: Establishing an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determining the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; Among them, E = 100 × [ε1 × E1 + ε2 × E2 × E3 + ε3 × E4], ε1, ε2, ε3 are weight coefficients, and 2. The method according to claim 1, characterized in that The on-board processing mission capability E1 is determined by the following formula: Among them, a1 represents the on-board mission implementation rate, a 01 represents the expected value of the on-board mission implementation rate; a2 represents the on-board mission processing capacity, a 02 represents the expected value of the on-board mission processing capacity; a3 represents the on-board mission planning accuracy, a 03 represents the expected accuracy of the on-board mission plan; a4 represents the timeliness of the on-board mission response, a 04 represents the expected value of the onboard mission response timeliness; α1, α2, α3, and α4 are the weight coefficients of a1, a2, a3, and a4, respectively, and 3. The method according to claim 2, characterized in that The on-board data processing capability E2 is determined by the following formula: Where b1 represents the on-board processing delay, b 01 represents the expected value of on-board processing delay; b2 represents the accuracy of the observed target, b 02 represents the expected value of the observed target accuracy; b3 represents the target positioning accuracy, b 03 Indicates the expected value of target positioning accuracy.
4. The method according to claim 3, characterized in that The observed target accuracy b2 is determined by the following formula: in, They represent the target detection rate, average false alarm density and target recognition rate of the observed target respectively; They represent the expected value of target detection rate, the expected value of average false alarm density and the expected value of target recognition rate respectively; β i represents the target accuracy weight coefficient of the i-th observed target on-board processing; n is the total number of observed target types, i=1, 2, ...n; k1, k2, k3 represent the weight coefficients of the target detection rate, the average false alarm density and the target recognition rate, respectively, and 5. The method according to claim 1, characterized in that The information broadcast distribution capability E3 is determined by the following formula: Where c1 represents the broadcast distribution delay, c 01 represents the expected broadcast distribution delay; c2 represents the distribution transmission rate, c 02 represents the expected value of the distribution transmission rate; c3 represents the broadcast distribution bit error rate, c 03 Indicates the expected value of the broadcast distribution bit error rate.
6. The method according to claim 1, characterized in that The information service application capability E4 is determined by the following formula: Among them, d1 represents the information demand satisfaction rate, d 01 represents the expected value of information demand satisfaction rate; d2 represents the completion rate of information service tasks, d 02 represents the expected value of the information service task completion rate; d3 represents the timeliness of information service, d 03 represents the expected value of information service timeliness; d4 represents the user satisfaction rate, d 04 represents the expected value of user satisfaction rate; γ1, γ2, γ3, γ4 represent the weight coefficients of d1, d2, d3, d4 respectively, and 7. A system for evaluating the onboard processing information application capability for broadcast distribution tasks, used to evaluate the onboard processing and broadcast distribution information application capability of a remote sensing satellite; the system comprises a processing unit configured to: Establishing an evaluation system including on-board processing task capability E1, on-board data processing capability E2, information broadcast distribution capability E3 and information service application capability E4, and determining the on-board processing and broadcast distribution information application capability E of the remote sensing satellite by the evaluation system; in, E = 100 × [ε1 × E1 + ε2 × E2 × E3 + ε3 × E4], ε1, ε2, ε3 are weight coefficients, and 8. An electronic device, characterized in that: The electronic device comprises a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the steps in any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any one of claims 1 to 6 are implemented.
Citation Information
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