Evaluation method and device for comprehensive effectiveness of aerial remote sensing payload

Abstract

The present invention provides a method and device for evaluating the comprehensive effectiveness of an aerial remote sensing payload. The method includes: guided by task requirements, determining an evaluation function based on the primary indicators of the aerial remote sensing payload system to be evaluated; analyzing and characterizing the aerial remote sensing payload system to be evaluated, determining a number of secondary indicators under each primary indicator, and generating a comprehensive effectiveness evaluation model based on the evaluation function; receiving the sampled values ​​of each target indicator, and using the comprehensive effectiveness evaluation model to calculate the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated. The method and device for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention can evaluate from the perspectives of system completeness, credibility, system capability and application capability, as well as multiple technical indicators, so that the comprehensive effectiveness evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of the aerial payload is achieved, meeting the urgent needs of evaluation at this stage.

Description

Technical Field

[0001] The present invention relates to the technical field of aviation remote sensing system analysis, and in particular to a method and a device for evaluating the comprehensive effectiveness of aviation remote sensing payloads. Background Art

[0002] The aviation remote sensing system is an earth observation system based on aircraft. It obtains observation data of land, ocean and atmosphere during flight and forms remote sensing information through data processing. The aviation remote sensing system is an important part of the national earth observation system. It and the space remote sensing system together constitute the two pillars of the national earth observation system.

[0003] The comprehensive performance evaluation of aviation payloads is a combination of the performance (Nature) level evaluation and application effectiveness (Effectiveness) evaluation of special aviation payloads, which comprehensively reflects the actual performance and effect level of a certain payload. In recent years, with the expansion of national investment and the increase in market demand, China has invested a large amount of various special funds to carry out the development of aviation remote sensing payloads. However, due to the diversity of aviation remote sensing payload types, different technical principles and backgrounds, and different application environments (platforms), it is impossible to conduct an objective comprehensive performance evaluation like remote sensing satellites.

[0004] At present, the research and application of comprehensive effectiveness evaluation of remote sensing payloads mainly rely on methods in the field of weapon effectiveness evaluation and are concentrated in the field of remote sensing satellites. Moreover, most of the effectiveness evaluations of remote sensing satellites only focus on one aspect of the payload’s capabilities and cannot characterize the comprehensive effectiveness of the payload. They cannot be directly generalized to the field of comprehensive effectiveness evaluation of complex aviation remote sensing payloads with multiple types, platforms, and application backgrounds. Therefore, comprehensive application effectiveness evaluation of aviation remote sensing payloads of multiple types and platforms is an important issue that needs to be urgently addressed in the industry. Summary of the invention

[0005] The present invention provides a method and device for evaluating the comprehensive effectiveness of an aerial remote sensing payload system, so as to solve the defect in the prior art that it is impossible to objectively and comprehensively evaluate the comprehensive effectiveness of complex aerial remote sensing payloads of multiple types, multiple platforms and multiple application backgrounds, and to establish a complete, comprehensive and objective evaluation method based on multiple types, multiple platforms and multiple application backgrounds to comprehensively evaluate the aerial remote sensing payload system.

[0006] The present invention provides a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload, comprising:

[0007] Guided by the mission requirements, the evaluation function is determined based on the primary indicators of the aerial remote sensing payload system to be evaluated;

[0008] Based on the aerial remote sensing payload system to be evaluated, an analysis and characterization is performed to determine a number of secondary indicators under each of the primary indicators, and a comprehensive performance evaluation model is generated based on the evaluation function;

[0009] Receiving the sampled values ​​of each target indicator, and using the comprehensive performance evaluation model to calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated;

[0010] Among them, the target indicators include one or more of the secondary indicators under each of the primary indicators, and the primary indicators at least include system completeness, system credibility, system capability and system friendliness.

[0011] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, the method analyzes and characterizes the aerial remote sensing payload system to be evaluated, determines a number of secondary indicators under each of the primary indicators, and generates a comprehensive effectiveness evaluation model based on the evaluation function, including:

[0012] Based on the aerial remote sensing load system to be evaluated, analyze and obtain the load type;

[0013] Based on the load type, each of the first-level indicators is classified into sub-categories to obtain a number of the second-level indicators;

[0014] On the basis of the evaluation function, based on each of the secondary indicators and the reference value of each of the secondary indicators, the comprehensive performance evaluation model is constructed.

[0015] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, the receiving of sampled values ​​of each target indicator and the use of the comprehensive effectiveness evaluation model to calculate the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated include:

[0016] Based on the sampled value of the target indicator and the reference value of the target indicator, obtaining an evaluation value of the target indicator;

[0017] Based on the evaluation values ​​of the target indicators, the evaluation function is used to perform calculations to obtain the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated.

[0018] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, the evaluation function includes one of a weighting function, a cutoff function and a mapping function.

[0019] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, the evaluation function is determined based on the primary index of the aerial remote sensing payload system to be evaluated and guided by the task requirements, including:

[0020] Based on the task requirements, determining the evaluation content of the aerial remote sensing payload system to be evaluated;

[0021] Based on the evaluation content, assigning weights corresponding to the first-level indicators in the weighting function to obtain the evaluation function;

[0022] The sum of the weights corresponding to the first-level indicators is 1.

[0023] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, after receiving the sampled values ​​of each target indicator and calculating the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive effectiveness evaluation model, the method further includes:

[0024] In the target case, determining the target sub-weight corresponding to each of the first-level indicators;

[0025] Based on the target sub-weights corresponding to the first-level indicators, an updated comprehensive performance evaluation model is obtained;

[0026] Based on the sampled values ​​of the target indicators and the updated comprehensive performance evaluation model, obtaining the evaluation value of the target aspect of the aerial remote sensing payload system to be evaluated;

[0027] Among them, the target aspects include at least the basic performance of the load, the load operating capability and the application efficiency, and the sum of the target sub-weights corresponding to each of the first-level indicators is the weight corresponding to the first-level indicator.

[0028] According to a method for evaluating the comprehensive effectiveness of an aerial remote sensing payload provided by the present invention, the target situation includes updating the mission requirement, and / or the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated is greater than a target threshold.

[0029] The present invention also provides an evaluation device for the comprehensive effectiveness of an aviation remote sensing payload, comprising:

[0030] A function determination module is used to determine the evaluation function based on the primary index of the aerial remote sensing payload system to be evaluated, guided by the task requirements;

[0031] A model building module, used to analyze and characterize the aerial remote sensing payload system to be evaluated, determine a number of secondary indicators under each of the primary indicators, and generate a comprehensive performance evaluation model based on the evaluation function;

[0032] An evaluation module, used to receive the sampled values ​​of each target indicator, and calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive performance evaluation model;

[0033] Among them, the target indicators include one or more of the secondary indicators under each of the primary indicators, and the primary indicators at least include system completeness, system credibility, system capability and system friendliness.

[0034] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for evaluating the comprehensive effectiveness of the aerial remote sensing payload as described in any one of the above are implemented.

[0035] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned methods for evaluating the comprehensive effectiveness of aerial remote sensing payloads.

[0036] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of any of the above-mentioned methods for evaluating the comprehensive effectiveness of aerial remote sensing payloads are implemented.

[0037] The present invention provides a method and device for evaluating the comprehensive effectiveness of an aerial remote sensing payload system. The embodiment of the present invention selects an evaluation function based on task requirements, analyzes the aerial remote sensing payload system to be evaluated, refines the primary indicators to extract a number of secondary indicators, obtains a comprehensive effectiveness evaluation model, and uses the comprehensive effectiveness evaluation model to evaluate the sampled values ​​of the target indicators to obtain the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated. It is possible to evaluate from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive effectiveness evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive effectiveness evaluation of aerial remote sensing payloads. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 This is one of the flow charts of the method for evaluating the comprehensive effectiveness of the aviation remote sensing payload system provided by the present invention;

[0040] Figure 2 This is the second flow chart of the method for evaluating the comprehensive effectiveness of the aviation remote sensing payload system provided by the present invention;

[0041] Figure 3 It is a structural schematic diagram of the comprehensive effectiveness evaluation device of the aviation remote sensing payload system provided by the present invention;

[0042] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0044] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0045] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0046] Figure 1 This is one of the flow charts of the method for evaluating the comprehensive effectiveness of the aviation remote sensing payload system provided by the present invention. Figure 1 As shown, the method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system provided by an embodiment of the present invention includes: step 101, determining an evaluation function based on the primary indicators of the aerial remote sensing payload system to be evaluated and guided by task requirements.

[0047] Among them, the first-level indicators include at least system completeness, system credibility, system capability and system friendliness.

[0048] It should be noted that the execution subject of the method for evaluating the comprehensive effectiveness of an aviation remote sensing payload system provided in the embodiment of the present invention is an evaluation device for the comprehensive effectiveness of an aviation remote sensing payload system.

[0049] Before step 101, the evaluation device for the comprehensive effectiveness of the aviation remote sensing payload system needs to decompose the evaluation object.

[0050] The embodiment of the present invention does not specifically limit the decomposition process of the aerial remote sensing payload system to be evaluated. For example, the basic issues such as the technical status, technical composition, and functional composition of the aerial remote sensing payload system to be evaluated can be determined according to the task book or contract. Then, the task requirements are confirmed.

[0051] Mission requirements refer to the functional results that the aerial remote sensing payload system to be evaluated must achieve in the evaluation device of the comprehensive effectiveness of the aerial remote sensing payload system.

[0052] The embodiment of the present invention does not specifically limit the task requirements.

[0053] For example, the mission requirement may be an evaluation result of the comprehensive performance of the aerial remote sensing payload system to be evaluated.

[0054] For example, the mission requirement may be an evaluation result of a certain aspect of the performance of the aerial remote sensing payload system to be evaluated.

[0055] Specifically, in step 101, based on the mission order or contract, and mission requirements, a combination of qualitative and quantitative methods is used to select an evaluation function corresponding to the mission requirements in the evaluation device for the comprehensive performance of the aerial remote sensing payload system from at least four first-level evaluation indicators, namely, system completeness, credibility, capability, and friendliness.

[0056] Among them, completeness (C) refers to the inherent performance and functions of the equipment in the system and the actual level they have achieved, as well as the coverage and scale segmentation of the performance and functions required for specific tasks.

[0057] Dependability (Dependability, D) refers to the availability of the system and the sum of many factors that affect availability, including reliability, maintainability, and security.

[0058] System capability (Capability, C) refers to the ability or level of the system to achieve tasks, including the degree of satisfaction of specific needs, problem-solving capabilities, and the ability to interact with external activities.

[0059] Friendship (F) refers to various functional indicators related to user experience, including the interface or operation in the stages of equipment installation, use, maintenance, upgrade, and update.

[0060] Then the evaluation function of its comprehensive effectiveness is:

[0061] cE=f(C1,D,C2,F)

[0062] The necessary parameters in the evaluation function can be assigned values ​​through expert review, user specification or iterative assignment.

[0063] Step 102: Based on the aerial remote sensing payload system to be evaluated, an analysis and characterization is performed to determine a number of secondary indicators under each primary indicator, and a comprehensive performance evaluation model is generated based on the evaluation function.

[0064] Specifically, in step 102, combined with the basic information and evaluation function about the aerial remote sensing payload system to be evaluated obtained in step 101, the aerial remote sensing payload system to be evaluated is analyzed and the performance is characterized, and each first-level indicator is refined in turn according to the indicator classification basis to obtain the second-level indicators, and an evaluation indicator system is established based on this to complete the construction of a comprehensive performance evaluation model.

[0065] Step 103: Receive the sampled values ​​of each target indicator, and use the comprehensive performance evaluation model to calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated.

[0066] Among them, the target indicators include one or more of the second-level indicators under each first-level indicator.

[0067] It should be noted that the target indicator refers to the secondary indicator evaluated in the comprehensive performance evaluation model in which the aerial remote sensing payload system to be evaluated actually participates.

[0068] The target indicators include at least one or more secondary indicators derived from each primary indicator.

[0069] Before step 103, the aerial remote sensing payload system needs to perform actual application measurements for each project corresponding to the target indicator in advance, and send the actual operation status of the project as the sampling value of the target indicator to the evaluation device of the comprehensive performance of the aerial remote sensing payload system.

[0070] Specifically, in step 103, the evaluation device for the comprehensive effectiveness of the aerial remote sensing payload system receives the sampled values ​​of the target indicators sent from the aerial remote sensing payload system to be evaluated, uses the evaluation indicator system in the comprehensive effectiveness evaluation model to measure the data, and substitutes the measurement results into the evaluation function for calculation to obtain the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated.

[0071] The comprehensive performance evaluation value refers to the score of the comprehensive performance of the aerial remote sensing payload system to be evaluated.

[0072] The embodiment of the present invention does not specifically limit the scoring format of the comprehensive effectiveness evaluation value.

[0073] Preferably, the comprehensive performance evaluation value ranges from [0, 1].

[0074] When the comprehensive performance evaluation value is 1, it indicates the performance of the aerial remote sensing payload system to be evaluated in terms of system completeness, reliability, capability and friendliness.

[0075] When the comprehensive performance evaluation value is greater than 1, it indicates that the aerial remote sensing payload system to be evaluated exceeds the design or reference equipment technology (capability) level in this aspect compared with the reference system. Otherwise, it indicates that it has not yet reached the level.

[0076] The embodiment of the present invention selects an evaluation function based on task requirements, analyzes the aerial remote sensing payload system to be evaluated, refines the primary indicators to extract several secondary indicators, obtains a comprehensive performance evaluation model, uses the comprehensive performance evaluation model to evaluate the sampled values ​​of the target indicators, and obtains the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated. It is possible to evaluate from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0077] On the basis of any of the above embodiments, an analysis and characterization is performed based on the aerial remote sensing payload system to be evaluated, a number of secondary indicators under each primary indicator are determined, and a comprehensive performance evaluation model is generated based on the evaluation function, including: based on the aerial remote sensing payload system to be evaluated, analysis is performed to obtain the load type.

[0078] Specifically, in step 102, the device for evaluating the comprehensive effectiveness of the aerial remote sensing payload performs a system function analysis on the aerial remote sensing payload system to be evaluated, and obtains the load type of the aerial remote sensing payload system to be evaluated.

[0079] The load type refers to the type of optical instrument used in the aerial remote sensing load system. It is used to guide the collection of indicators for different types of loads.

[0080] The embodiment of the present invention does not specifically limit the type of optical instrument used in the aerial remote sensing payload system. By way of example, the optical instrument may be an array optical instrument, a linear array optical instrument, a spectral instrument, or a radar instrument.

[0081] Based on the load type, each first-level indicator is classified and refined to obtain several second-level indicators.

[0082] Specifically, the evaluation device for the comprehensive performance of the aerial remote sensing payload classifies the corresponding four primary indicators according to different load types through preset criteria, and obtains various secondary indicators under each primary indicator in a certain type of aerial remote sensing payload system.

[0083] The embodiment of the present invention does not specifically limit the specific indicator classification process.

[0084] Optionally, the first-level indicators are refined according to pre-set indicator classification criteria.

[0085] The embodiment of the present invention does not specifically limit the basis for index classification.

[0086] Exemplarily, the indicator classification basis may be set by a reviewed technical design document (contract).

[0087] For example, the indicator classification basis may be set according to relevant national or industry standards.

[0088] For example, the indicator classification basis can be set based on reviewed operating procedures, etc.

[0089] Exemplarily, the indicator classification basis may be set based on application indicators proposed by users.

[0090] When the specifications, procedures, etc. can be clearly used, or the reviewed technical documents are used as the basis, the secondary indicators under the primary indicators are collected and classified. The classification results are shown in Tables 1 to 4.

[0091] Table 1 Schematic diagram of secondary indicators for completeness of primary indicators

[0092]

[0093]

[0094] Among them, “●” means that the secondary indicator is applicable to the aerial remote sensing payload system of this load type, otherwise, “—” means it is not applicable.

[0095] Table 2 Schematic diagram of the secondary indicators for the primary indicator of credibility

[0096]

[0097] Table 3 Schematic diagram of secondary indicators for the primary indicator system capability

[0098]

[0099]

[0100] Table 4 Schematic diagram of secondary indicators for first-level indicators of friendliness

[0101]

[0102]

[0103] The following is an example to illustrate the process of refining each first-level indicator:

[0104] The existing airborne remote sensing payload systems are classified at the first level according to the payload instrument type, and then the first-level indicators under each payload type are classified at the second level according to the known indicator classification basis. That is, for any airborne remote sensing payload system with a payload type of array optics, the corresponding second-level indicator is the field content of the "secondary indicator" marked with "●" under the "array optics" field in Tables 1 to 4.

[0105] Optionally, if there is no pre-set indicator classification basis as a reference, the first-level indicator can be refined according to the refined generalization basis, and the generalization basis is shown in Table 5.

[0106] Table 5 Schematic diagram of generalized secondary indicators

[0107]

[0108]

[0109]

[0110]

[0111] Among them, application effectiveness (micro) refers to the corresponding effectiveness based on the skill attributes of the aviation remote sensing payload system itself.

[0112] Application effectiveness (macro) refers to the corresponding effectiveness based on the application properties of the aerial remote sensing payload system itself.

[0113] The following is an example to illustrate the process of refining each first-level indicator:

[0114] The existing aerial remote sensing payload systems are classified at the first level according to the payload instrument type, and then the first-level indicators under each payload type are classified at the second level according to the highly generalized indicator classification basis of this embodiment. That is, for any aerial remote sensing payload system whose payload type is spectral, its corresponding second-level indicator is the field content of the "secondary indicator" marked with "●" under the "spectral type" field in Table 5.

[0115] On the basis of the evaluation function, a comprehensive performance evaluation model is constructed based on each secondary indicator and the reference value of each secondary indicator.

[0116] The reference value of a secondary indicator refers to the standard set for the project corresponding to the secondary indicator in national regulations or industry standards. The reference value of a secondary indicator is used to consider the actual operation of the aerial remote sensing payload system to be evaluated in the project corresponding to the secondary indicator. If the quantitative value of the actual operation is greater than or equal to the reference value of the secondary indicator, it means that the aerial remote sensing payload system to be evaluated meets the standard in the project corresponding to the secondary indicator. Otherwise, it means that it does not meet the standard.

[0117] Specifically, in the evaluation device for the comprehensive performance of the aerial remote sensing payload, a secondary index reference value is set for each secondary index to form a comprehensive performance evaluation system, and then combined with the determined evaluation function to construct a comprehensive performance evaluation model.

[0118] The comprehensive performance evaluation model includes a comprehensive performance evaluation system and an evaluation function.

[0119] The comprehensive performance evaluation system refers to the quantitative standards for each secondary indicator. The comprehensive performance evaluation system is used to quantify the actual operation of the aerial remote sensing payload system to be evaluated through the standard values ​​set therein.

[0120] The evaluation function refers to a mathematical model that comprehensively evaluates the actual operation of the aerial remote sensing payload system to be evaluated. The evaluation function is used to substitute the numerical values ​​quantified by the comprehensive performance evaluation system into the mathematical model for calculation to obtain the comprehensive performance evaluation value.

[0121] The embodiment of the present invention is based on the analysis and performance characterization of the aerial remote sensing payload system to be evaluated, and extracts a number of secondary indicators from the refinement of the primary indicators to build an overall evaluation system, and obtains a comprehensive performance evaluation model by combining the evaluation function. It can be evaluated from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and scalability. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0122] Based on any of the above embodiments, the sampling values ​​of each target indicator are received, and the comprehensive performance evaluation model is used to calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated, including: obtaining the evaluation value of the target indicator based on the sampling value of the target indicator and the reference value of the target indicator.

[0123] Specifically, in step 103, after receiving the sampled value of each target indicator, the evaluation device for the comprehensive performance of the aerial remote sensing payload enters into the comprehensive performance evaluation system, compares and quantifies the value with the reference value of the target indicator, and obtains the evaluation value of the target indicator.

[0124] The evaluation value of the target indicator refers to the quantitative value of the actual operating conditions of the aerial remote sensing payload system to be evaluated on the project corresponding to the target indicator.

[0125] The embodiment of the present invention does not specifically limit the process of obtaining the evaluation value of the target indicator.

[0126] For example, taking the operating height (secondary indicator) under the target indicator of the completeness indicator of area array optics (first-level indicator) as an example, according to industry regulations, the difference between the highest operating height and the lowest operating height is usually used as the standard value for setting the operating height. The reference value of the target indicator can be set to 5,000 kilometers.

[0127] For the aerial remote sensing load system to be evaluated whose load type is array optics, the difference between its actual maximum operating altitude and its actual minimum operating altitude is 4000 kilometers, which is taken as the sampling value of the target indicator. By comparing the sampling value of the target indicator with the evaluation value of the target indicator, the evaluation value of the target indicator can be 4000 / 5000=0.8.

[0128] It can be understood that the quantification method of the evaluation value of the target indicator in the embodiment of the present invention includes but is not limited to the method of difference, comparison and the like.

[0129] Based on the evaluation value of each target indicator, the evaluation function is used to calculate and obtain the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated.

[0130] Specifically, the evaluation device for the comprehensive performance of the aerial remote sensing payload substitutes the quantified evaluation values ​​of each target indicator into the evaluation function, calculates the weight corresponding to each target indicator, and obtains the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated.

[0131] The embodiment of the present invention evaluates and quantifies the sampled values ​​of the target indicators based on the reference values ​​of each target indicator in the comprehensive performance evaluation model, obtains the evaluation value of the target indicator, and obtains the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by calculating the evaluation value of each target indicator using an evaluation function. It can be evaluated from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of the aerial payload is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0132] Based on any of the above embodiments, the evaluation function includes one of a weighting function, a cutoff function and a mapping function.

[0133] Specifically, the evaluation function consists of the evaluation values ​​of various target indicators and the corresponding weights.

[0134] Optionally, the evaluation function is a weighted function, and its expression formula may be:

[0135] cE=q1*C1+q2*D+q3*C2+q4*F

[0136] Among them, q1, q2, q3 and q4 are the pre-set weight values ​​corresponding to system completeness, system credibility, system capability and system friendliness, respectively, and C1, D, C2 and F are the sum of the evaluation values ​​of the lower secondary indicators of system completeness, system credibility, system capability and system friendliness, respectively.

[0137] Optionally, the evaluation function is a cutoff function, and its expression formula may be:

[0138]

[0139] Among them, S1 is a value of C1, D, C2 and F. In this case, the weight values ​​corresponding to system completeness, system credibility, system capability and system friendliness are used. and S2 is a value of C1, D, C2 and F. In this case, the weight values ​​corresponding to system completeness, system credibility, system capability and system friendliness are used. and Perform calculations.

[0140] Optionally, the evaluation function is a mapping function, and its expression formula may be:

[0141] cE=f(C1,D,C2,F)

[0142] Among them, C1, D, C2 and F are the sum of the evaluation values ​​of the lower secondary indicators of system completeness, system credibility, system capability and system friendliness respectively. According to the evaluation value of the target indicator, cE is directly obtained by using the preset mapping relationship.

[0143] The embodiment of the present invention calculates the evaluation value of each target indicator based on a weighting function, a cutoff function or a mapping function to obtain a comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated. It is possible to evaluate from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and scalability. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0144] On the basis of any of the above embodiments, guided by the mission requirements, based on the primary indicators of the aerial remote sensing payload system to be evaluated, an evaluation function is determined, including: based on the mission requirements, determining the evaluation content of the aerial remote sensing payload system to be evaluated.

[0145] Specifically, in step 101, according to the assignment or contract, basic issues such as the technical status, technical composition, and functional composition of the aerial remote sensing payload system to be evaluated are taken as evaluation contents.

[0146] Based on the evaluation content, the weight corresponding to each primary indicator in the weighted function is assigned to obtain the evaluation function.

[0147] Among them, the sum of the weights corresponding to each first-level indicator is 1.

[0148] Specifically, a weighted function is selected as the evaluation function, and weight values ​​q1, q2, q3 and q4 of each primary indicator in the evaluation function are assigned, and the sum of q1, q2, q3 and q4 is made to be 1.

[0149] The embodiment of the present invention does not specifically limit the method for assigning values ​​of q1, q2, q3 and q4, including but not limited to methods such as expert review, user specification or iterative assignment.

[0150] The embodiment of the present invention does not specifically limit the relationship between the weight value and the evaluation value of the target indicator.

[0151] Optionally, the corresponding weight values ​​of the secondary indicators belonging to the same primary indicator can be unified as the weight q1, q2, q3 or q4 of the primary indicator on the upper layer, and the expression formula can be:

[0152]

[0153]

[0154] D=D 1 +…+D n

[0155]

[0156] F=F 1 +…+F n

[0157] in, is the n secondary indicators under the primary indicator C1, D 1 ,…,D n It is the n secondary indicators under the primary indicator D. is the n secondary indicators under the primary indicator C2, F 1 ,…,F nIt is the n secondary indicators under the primary indicator F.

[0158] Optionally, different weight values ​​can be set for different secondary indicators under different primary indicators. The sum of the weight values ​​of the secondary indicators belonging to the same primary indicator is equal to the weight value of the primary indicator, and the expression formula can be:

[0159]

[0160]

[0161] D=D 1 +…+D n

[0162]

[0163] F=F 1 +…+F n

[0164]

[0165]

[0166]

[0167]

[0168] in, is the n secondary indicators under the primary indicator C1, D 1 ,…,D n It is the n secondary indicators under the primary indicator D. is the n secondary indicators under the primary indicator C2, F 1 ,…,F n It is the n secondary indicators under the primary indicator F, is n secondary indicators The corresponding weight value, is n secondary indicators D 1 ,…,D n The corresponding weight value, is n secondary indicators The corresponding weight value, is n secondary indexes F 1 ,…,F n The corresponding weight value.

[0169] Figure 2 This is the second flow chart of the method for evaluating the comprehensive effectiveness of the aviation remote sensing payload system provided by the present invention. Figure 2As shown, the following is a general process of evaluating the comprehensive effectiveness of aerial remote sensing payloads:

[0170] (1) Determination of the evaluation object:

[0171] Determine basic issues such as the technical status, technical composition, and functional composition of the aviation payload to be evaluated based on the task order or contract.

[0172] (2) Evaluation model architecture:

[0173] According to the task book or contract, as well as the evaluation requirements, select the comprehensive performance calculation function, and assign the necessary parameters in the evaluation function (expert review, user specification or iterative assignment).

[0174] (3) Load analysis:

[0175] Combined with the information obtained in (1) and the evaluation model, the functional analysis and performance characterization of the load to be evaluated are completed, and finally the performance indicators are screened and determined.

[0176] (4) Construction of evaluation index system:

[0177] Combined with the results of (3), the final refinement of the first-level evaluation indicators and the determination of the reference values ​​of the input indicators are completed.

[0178] (5) Determination of evaluation model and evaluation method:

[0179] Combining the results of (1)-(4), the evaluation model is finalized, and the first- and second-level indicators are determined and grouped.

[0180] (6) Apply the model to complete the evaluation work:

[0181] Input the secondary indicator value into the model, complete the model operation, and obtain the evaluation value.

[0182] The task requirements of the embodiment of the present invention select a weighted function as the evaluation function, assign values ​​to each weight, and improve the evaluation function. Furthermore, the evaluation function can be used to calculate the evaluation value of each target indicator to obtain the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated. It can be evaluated from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0183] Based on any of the above embodiments, after receiving the sampling values ​​of each target indicator and using the comprehensive performance evaluation model to calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated, it also includes: in the target case, determining the target sub-weight corresponding to each first-level indicator.

[0184] Among them, the sum of the target sub-weights corresponding to each first-level indicator is the weight corresponding to the first-level indicator.

[0185] It should be noted that the application scenario of the evaluation device for the comprehensive performance of aerial remote sensing payloads is to scale the results of different first- and second-level indicators after obtaining the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated, so as to highlight or compress the ability of the payload to be evaluated in a certain category (item) of indicators.

[0186] The target situation refers to a situation corresponding to the application scenario of the above-mentioned aerial remote sensing payload comprehensive performance evaluation device.

[0187] Exemplarily, the target situation is that in the process of classifying the results of the refinement of the first-level indicators, the evaluation results are projected to the corresponding dimensions through different classification criteria to facilitate the examination of the capabilities of the object to be evaluated in this dimension.

[0188] Exemplarily, the target situation is that in the process of classifying the results of the refinement of the first-level indicators, the evaluation results are projected to the corresponding dimensions through different classification criteria to facilitate the examination of the capabilities of the object to be evaluated in this dimension.

[0189] For example, the target situation may be a change in a specific point of interest (focus) of the user.

[0190] Specifically, according to the different needs indicated by the target situation, the weight value of each first-level indicator is decomposed into target sub-weights corresponding to multiple first-level indicators, and the sum of the target sub-weights belonging to the same first-level indicator is equal to the original weight value of the first-level indicator, so as to ensure that the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated remains unchanged when highlighting or compressing a certain type (item) of indicators.

[0191] Optionally, if in step 101, the secondary indicators under the primary indicators do not have a unified weight, then in the target case, the weight value of each secondary indicator is decomposed to obtain the target sub-weights corresponding to multiple secondary indicators, and the sum of the target sub-weights belonging to the same secondary indicator is equal to the original weight value of the secondary indicator.

[0192] Based on the target sub-weights corresponding to the primary indicators, an updated comprehensive performance evaluation model is obtained.

[0193] Specifically, the evaluation device for the comprehensive effectiveness of aerial remote sensing payloads updates the evaluation function in the comprehensive effectiveness evaluation model according to the target sub-weight corresponding to the first-level indicator, and decomposes the original evaluation function into multiple sub-functions. Each sub-function sets the weight value of each first-level indicator to the corresponding target sub-weight on the basis of preserving the original weighted calculation method.

[0194] Optionally, if in step 101, the secondary indicators under the primary indicators do not have a unified weight, then in the target case, the evaluation function in the comprehensive performance evaluation model is updated, and the original evaluation function is decomposed into multiple sub-functions. Each sub-function is based on preserving the original weighted calculation method, and the weight value of each secondary indicator is set to the corresponding target sub-weight.

[0195] Based on the sampling values ​​of each target indicator and the updated comprehensive performance evaluation model, the evaluation values ​​of the target aspects of the aerial remote sensing payload system to be evaluated are obtained.

[0196] Among them, the objectives include at least the basic performance of the payload, the payload operating capability and the application effectiveness.

[0197] Specifically, the evaluation device for the comprehensive performance of the aerial remote sensing payload substitutes the sampled values ​​of each target indicator received in step 103 into the updated comprehensive performance evaluation model, and calculates the evaluation value of a certain target aspect of the aerial remote sensing payload system to be evaluated in combination with the new weight value.

[0198] Among them, the comprehensive performance evaluation value is projected onto three target aspects, namely, basic performance of the payload, payload operation capability and application performance. This makes it easier to find the technical or application strengths and weaknesses of the payload to be evaluated from different angles. The comprehensive performance evaluation function of the aviation payload is adjusted to:

[0199]

[0200]

[0201]

[0202] Among them, cE bN ,cE A ,cE E They are the projection results of the comprehensive performance evaluation value in the basic performance, operational capability and application performance projection directions, D bN , F bN are the projection results of each first-level indicator in the basic performance direction, D A , F Aare the projection results of each first-level indicator in the direction of operational capability, D E , F E They are the projection results of each first-level indicator in the direction of application effectiveness.

[0203] Preferably, each indicator is projected according to basic performance, operational capability and application efficiency, and then transformed into:

[0204]

[0205]

[0206]

[0207] q1=q 11 +q 21 +q 31

[0208] q2=q 12 +q 22 +q 32

[0209] q3=q 13 +q 23 +q 33

[0210] q4=q 14 +q 24 +q 34

[0211] q1+q2+q3+q4=1

[0212] Among them, q 11 ,q 12 ,q 13 ,q 14 are the target sub-weights generated by the projection of the weight values ​​of each first-level indicator in the basic performance direction, q 21 ,q 22 ,q 23 ,q 24 are the target sub-weights generated by the projection of the weight values ​​of each first-level indicator in the direction of operational capability, q 31 ,q 32 ,q 33 ,q 34 They are the target sub-weights generated by the projection of the weight values ​​of each first-level indicator in the direction of application effectiveness.

[0213] The embodiment of the present invention is based on updating the comprehensive effectiveness evaluation model by the target sub-weights corresponding to each primary indicator under the target situation, and obtaining the target evaluation value by inputting the sampled values ​​of each target indicator into the updated model. It is possible to examine the ability of the target evaluation value in each dimension, thereby making the model results visible from multiple angles, and facilitating the quantitative understanding of the true unmasked capability level of the load to be evaluated in different dimensions.

[0214] Based on any of the above embodiments, the target situation includes that the mission requirement is updated, and / or the comprehensive effectiveness evaluation value of the aviation remote sensing payload system to be evaluated is greater than the target threshold.

[0215] Specifically, the application scenario corresponding to the target situation is to scale the results of different primary and secondary indicators to highlight or compress the ability of the load to be evaluated in a certain category (item) of indicators.

[0216] The embodiment of the present invention does not specifically limit the target situation.

[0217] Optionally, the target situation is that the task requirement is converted from obtaining a comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated to an evaluation value of the aerial remote sensing payload system to be evaluated in a certain target aspect.

[0218] Optionally, the target situation is that the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated is greater than 1, indicating that the payload to be evaluated exceeds the design (reference equipment) capability level. Based on the projection results, its advantages and disadvantages at various focus points can be obtained more clearly and specifically.

[0219] The embodiment of the present invention sets the target situation as the task requirement update, and / or the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated is greater than the target threshold, and then updates the comprehensive performance evaluation model through the target sub-weights corresponding to each primary indicator, and obtains the target evaluation value by inputting the sampled values ​​of each target indicator into the updated model. It is possible to examine the ability of the target evaluation value in each dimension, and then make the model results have multi-angle visibility, which is convenient for quantitatively understanding the true unmasked capability level of the payload to be evaluated in different dimensions.

[0220] Figure 3 FIG. 1 is a schematic diagram of the structure of the comprehensive performance evaluation device of the aviation remote sensing payload system provided by the present invention. Figure 3 As shown, the device includes: a function determination module 310, a model construction module 320 and an evaluation module 330, wherein:

[0221] The function determination module 310 is used to determine the evaluation function based on the primary index of the aerial remote sensing payload system to be evaluated, guided by the task requirements.

[0222] The model building module 320 is used to analyze and characterize the aerial remote sensing payload system to be evaluated, determine a number of secondary indicators under each primary indicator, and generate a comprehensive performance evaluation model based on the evaluation function.

[0223] The evaluation module 330 is used to receive the sampled values ​​of each target indicator and calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated using the comprehensive performance evaluation model.

[0224] Among them, the target indicators include one or more of the second-level indicators under each first-level indicator, and the first-level indicators at least include system completeness, system credibility, system capability and system friendliness.

[0225] Specifically, the function determination module 310, the model construction module 320 and the evaluation module 330 are electrically connected in sequence.

[0226] The function determination module 310 selects an evaluation function corresponding to the task requirements in the evaluation device of the comprehensive performance of the aerial remote sensing payload system based on the task order or contract and the task requirements by combining qualitative and quantitative methods, from at least four first-level evaluation indicators of system completeness, credibility, capability and friendliness.

[0227] The model building module 320 combines the basic information and evaluation function about the aerial remote sensing payload system to be evaluated obtained in the function determination module 310, analyzes and characterizes the performance of the aerial remote sensing payload system to be evaluated, and refines each first-level indicator in turn according to the indicator classification basis, obtains the second-level indicators, and builds an evaluation indicator system based on this to complete the construction of the comprehensive performance evaluation model.

[0228] The evaluation module 330 receives the sampled values ​​of the target indicators sent from the aerial remote sensing payload system to be evaluated, uses the evaluation indicator system in the comprehensive performance evaluation model to measure the data, and substitutes the measurement results into the evaluation function for calculation to obtain the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated.

[0229] The comprehensive performance evaluation value refers to the score of the comprehensive performance of the aerial remote sensing payload system to be evaluated.

[0230] Optionally, the model building module 320 includes an analysis unit, a refinement unit and a model building unit, wherein:

[0231] The analysis unit is used to analyze and obtain the load type based on the aerial remote sensing load system to be evaluated.

[0232] The refinement unit is used to refine and classify each primary indicator based on the load type and obtain several secondary indicators.

[0233] The model building unit is used to build a comprehensive performance evaluation model based on the evaluation function, each secondary indicator and the reference value of each secondary indicator.

[0234] Optionally, the evaluation module 330 includes a target indicator evaluation unit and a comprehensive performance evaluation unit, wherein:

[0235] The target indicator evaluation unit is used to obtain an evaluation value of the target indicator based on a sampling value of the target indicator and a reference value of the target indicator.

[0236] The comprehensive performance evaluation unit is used to obtain the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by calculating the evaluation value of each target indicator using the evaluation function.

[0237] Optionally, the evaluation function includes one of a weighting function, a cutoff function and a mapping function.

[0238] Optionally, the function determination module 310 includes a requirement confirmation unit and an evaluation function determination unit, wherein:

[0239] The requirement confirmation unit is used to determine the evaluation content of the aerial remote sensing payload system to be evaluated based on the mission requirements.

[0240] The evaluation function determination unit is used to assign weights corresponding to each primary indicator in the weighted function based on the evaluation content to obtain the evaluation function.

[0241] Among them, the sum of the weights corresponding to each first-level indicator is 1.

[0242] Optionally, the device further comprises a sub-weight projection module, a model updating module and an evaluation value projection module, wherein:

[0243] The sub-weight projection module is used to determine the target sub-weight corresponding to each first-level indicator under the target condition.

[0244] The model updating module is used to obtain an updated comprehensive performance evaluation model based on the target sub-weights corresponding to the primary indicators.

[0245] The evaluation value projection module is used to obtain the evaluation value of the target aspect of the aerial remote sensing payload system to be evaluated based on the sampling value of each target indicator and the updated comprehensive performance evaluation model.

[0246] Among them, the target aspects include at least the basic performance of the payload, the payload operating capability and the application efficiency. The sum of the target sub-weights corresponding to each first-level indicator is the weight corresponding to the first-level indicator.

[0247] Optionally, the target situation includes a mission requirement update, and / or a comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated is greater than a target threshold.

[0248] The device for evaluating the comprehensive effectiveness of an aerial remote sensing payload system provided in an embodiment of the present invention is used to execute the method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system described above. Its implementation method is consistent with the implementation method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system provided in the present invention, and can achieve the same beneficial effects, which will not be repeated here.

[0249] The embodiment of the present invention selects an evaluation function based on task requirements, analyzes the aerial remote sensing payload system to be evaluated, refines the primary indicators to extract several secondary indicators, obtains a comprehensive performance evaluation model, uses the comprehensive performance evaluation model to evaluate the sampled values ​​of the target indicators, and obtains the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated. It is possible to evaluate from the perspectives of system completeness, credibility, system capabilities and application capabilities, as well as multiple technical indicators, so that the comprehensive performance evaluation model has reliability, objectivity, comprehensiveness and extensibility. Furthermore, a comprehensive and integrated evaluation of aerial payloads is achieved, meeting the urgent needs of relevant units at this stage for objective, reliable and traceable comprehensive performance evaluation of aerial remote sensing payloads.

[0250] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the evaluation method of the comprehensive effectiveness of the aviation remote sensing payload system, the method comprising: guided by the task requirements, determining the evaluation function based on the primary index of the aviation remote sensing payload system to be evaluated; analyzing and characterizing the aviation remote sensing payload system to be evaluated, determining several secondary indexes under each primary index, and generating a comprehensive effectiveness evaluation model based on the evaluation function; receiving the sampled values ​​of each target index, and calculating the comprehensive effectiveness evaluation value of the aviation remote sensing payload system to be evaluated by using the comprehensive effectiveness evaluation model; wherein the target index includes one or more of the secondary indexes under each primary index, and the primary index at least includes system completeness, system credibility, system capability and system friendliness.

[0251] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0252] On the other hand, the present invention also provides a computer program product, which includes a computer program, and the computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the evaluation method of the comprehensive effectiveness of the aerial remote sensing payload system provided by the above-mentioned methods, and the method includes: guided by task requirements, based on the first-level indicators of the aerial remote sensing payload system to be evaluated, determining an evaluation function; based on the aerial remote sensing payload system to be evaluated, performing analysis and characterization, determining a number of second-level indicators under each first-level indicator, and generating a comprehensive effectiveness evaluation model based on the evaluation function; receiving the sampling value of each target indicator, and using the comprehensive effectiveness evaluation model to calculate the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated; wherein the target indicator includes one or more of the second-level indicators under each first-level indicator, and the first-level indicator includes at least system completeness, system credibility, system capability and system friendliness.

[0253] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the comprehensive effectiveness evaluation method of the aerial remote sensing payload system provided by the above-mentioned methods. The method includes: guided by task requirements, determining an evaluation function based on the primary indicators of the aerial remote sensing payload system to be evaluated; analyzing and characterizing the aerial remote sensing payload system to be evaluated, determining a number of secondary indicators under each primary indicator, and generating a comprehensive effectiveness evaluation model based on the evaluation function; receiving sampling values ​​of each target indicator, and using the comprehensive effectiveness evaluation model to calculate the comprehensive effectiveness evaluation value of the aerial remote sensing payload system to be evaluated; wherein the target indicator includes one or more of the secondary indicators under each primary indicator, and the primary indicator includes at least system completeness, system credibility, system capability and system friendliness.

[0254] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0255] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0256] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the comprehensive effectiveness of an aviation remote sensing payload system, characterized in that: include: Guided by the mission requirements, the evaluation function is determined based on the primary indicators of the aerial remote sensing payload system to be evaluated; Based on the aerial remote sensing payload system to be evaluated, an analysis and characterization is performed to determine a number of secondary indicators under each of the primary indicators, and a comprehensive performance evaluation model is generated based on the evaluation function; Receiving the sampled values ​​of each target indicator, and using the comprehensive performance evaluation model to calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated; The target indicators include one or more of the secondary indicators under each of the primary indicators, and the primary indicators include at least system completeness, system credibility, system capability and system friendliness; The aerial remote sensing payload system to be evaluated is analyzed and characterized to determine a number of secondary indicators under each of the primary indicators, and a comprehensive performance evaluation model is generated based on the evaluation function, including: Based on the aerial remote sensing load system to be evaluated, analyze and obtain the load type; Based on the load type, each of the first-level indicators is classified into sub-categories to obtain a number of the second-level indicators; On the basis of the evaluation function, based on each of the secondary indicators and the reference value of each of the secondary indicators, constructing the comprehensive performance evaluation model; The receiving of the sampled values ​​of each target indicator and calculating the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive performance evaluation model include: Based on the sampled value of the target indicator and the reference value of the target indicator, obtaining an evaluation value of the target indicator; Based on the evaluation values ​​of the target indicators, the evaluation function is used to perform calculations to obtain a comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated; The evaluation function includes one of a weighting function, a cutoff function and a mapping function.

2. The method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system according to claim 1, characterized in that: The evaluation function is determined based on the mission requirements and the primary indicators of the aerial remote sensing payload system to be evaluated, including: Based on the task requirements, determining the evaluation content of the aerial remote sensing payload system to be evaluated; Based on the evaluation content, assigning weights corresponding to the first-level indicators in the weighting function to obtain the evaluation function; The sum of the weights corresponding to the first-level indicators is 1.

3. The method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system according to claim 2, characterized in that: After receiving the sampled values ​​of each target indicator and calculating the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive performance evaluation model, the method further includes: In the target case, determining the target sub-weight corresponding to each of the first-level indicators; Based on the target sub-weights corresponding to the first-level indicators, an updated comprehensive performance evaluation model is obtained; Based on the sampled values ​​of the target indicators and the updated comprehensive performance evaluation model, obtaining the evaluation value of the target aspect of the aerial remote sensing payload system to be evaluated; Among them, the target aspects include at least the basic performance of the load, the load operating capability and the application efficiency, and the sum of the target sub-weights corresponding to each of the first-level indicators is the weight corresponding to the first-level indicator.

4. The method for evaluating the comprehensive effectiveness of an aerial remote sensing payload system according to claim 3, characterized in that: The target situation includes that the mission requirement is updated, and / or the comprehensive effectiveness evaluation value of the aviation remote sensing payload system to be evaluated is greater than a target threshold.

5. An evaluation device for the comprehensive effectiveness of an aviation remote sensing payload system, characterized in that: include: A function determination module is used to determine the evaluation function based on the primary index of the aerial remote sensing payload system to be evaluated, guided by the task requirements; A model building module, used to analyze and characterize the aerial remote sensing payload system to be evaluated, determine a number of secondary indicators under each of the primary indicators, and generate a comprehensive performance evaluation model based on the evaluation function; An evaluation module, used to receive the sampled values ​​of each target indicator, and calculate the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive performance evaluation model; The target indicators include one or more of the secondary indicators under each of the primary indicators, and the primary indicators include at least system completeness, system credibility, system capability and system friendliness; The aerial remote sensing payload system to be evaluated is analyzed and characterized to determine a number of secondary indicators under each of the primary indicators, and a comprehensive performance evaluation model is generated based on the evaluation function, including: Based on the aerial remote sensing load system to be evaluated, analyze and obtain the load type; Based on the load type, each of the first-level indicators is classified into sub-categories to obtain a number of the second-level indicators; On the basis of the evaluation function, based on each of the secondary indicators and the reference value of each of the secondary indicators, constructing the comprehensive performance evaluation model; The receiving of the sampled values ​​of each target indicator and calculating the comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated by using the comprehensive performance evaluation model include: Based on the sampled value of the target indicator and the reference value of the target indicator, obtaining an evaluation value of the target indicator; Based on the evaluation values ​​of the target indicators, the evaluation function is used to perform calculations to obtain a comprehensive performance evaluation value of the aerial remote sensing payload system to be evaluated; The evaluation function includes one of a weighting function, a cutoff function and a mapping function.

6. An electronic device 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 program, the steps of the method for evaluating the comprehensive effectiveness of the aviation remote sensing payload system as described in any one of claims 1 to 4 are implemented.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for evaluating the comprehensive effectiveness of an aviation remote sensing payload system as claimed in any one of claims 1 to 4 are implemented.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for evaluating the comprehensive effectiveness of an aviation remote sensing payload system as claimed in any one of claims 1 to 4 are implemented.

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