Service quality evaluation method for aircraft collaborative task system

By building a self-performance computing model of different types of services in the aircraft collaborative mission system, the problem of difficulty in meeting real-time decision-making needs in the existing technology is solved, and the quantitative evaluation of service quality is realized, and resource organization and decision-making within the collaborative mission formation is supported.

CN119740907APending Publication Date: 2025-04-01SHENYANG AIRCRAFT DESIGN INST AVIATION IND CORP OF CHINA
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Patent Information

Application Number
CN202411742398.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The existing service quality evaluation methods are difficult to meet the real-time decision-making needs of aircraft collaborative mission systems, especially in complex and changeable distributed environments, and there is a lack of quantitative analysis of service quality for collaborative missions.

Method used

A service quality evaluation method for aircraft collaborative mission systems is proposed. By constructing a self-performance calculation model of different types of services, including air search, air target tracking, air target positioning, support interference, material deployment and delivery guidance services, quantitative evaluation is carried out using factors such as detection distance, detection angle, and response time.

Benefits of technology

It realizes quantitative evaluation of the service quality of aircraft collaborative mission system, can provide reference for resource organization and real-time decision-making within the collaborative mission formation, and meets the needs of real-time and quantitative analysis.

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Abstract

The invention belongs to the technical field of aircraft collaborative task system service quality evaluation, and particularly relates to a service quality evaluation method for an aircraft collaborative task system. For three types of cooperative tasks of detection, interference and delivery and six corresponding services of air search, air target tracking, air target positioning, support interference, material delivery and delivery guidance, quantitative performance calculation models of various services are given from the own performance of resources for providing the corresponding services and considering the actual process of the cooperative tasks; and the service quality is evaluated, so that a reference basis can be provided for resource organization and decision implementation in the collaborative task formation.
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Description

Technical Field

[0001] The present application belongs to the technical field of aircraft collaborative mission system service quality assessment, and specifically relates to a service quality assessment method for aircraft collaborative mission systems. Background Art

[0002] At present, solving the problem of multi-aircraft cross-domain collaborative tasks in the form of service has gradually gained widespread attention and research. The collaborative task system using service-oriented architecture has the characteristics of multi-heterogeneity, virtualization, connectivity, distribution, easy scalability and on-demand service. Through the external form of service, it realizes the logical function of providing resources on demand internally and completes the established tasks.

[0003] However, facing the complex and ever-changing distributed environment, in order to realize the mapping relationship of "task-service-resource" and complete the dynamic organization and optimal allocation of resources, it is urgent to carry out service quality evaluation to provide a reference basis for resource organization and real-time decision-making within the collaborative task formation.

[0004] Currently, the measurement methods for service quality of service-oriented architecture include:

[0005] The direct measurement method reflects the service quality by collecting various indicators in the system. This method is mostly used for post-analysis. However, the service quality evaluation of the collaborative task system must support real-time decision-making, so it requires high real-time performance and is not applicable to this.

[0006] The indirect analysis method uses mathematical analysis to estimate various service quality indicators and can meet real-time requirements. However, existing research results are mainly aimed at the field of cloud computing services. There is no specific research to provide quantitative analysis for the evaluation of collaborative task service quality.

[0007] This application is proposed in view of the above-mentioned technical defects. Summary of the invention

[0008] The purpose of this application is to provide a service quality assessment method for an aircraft collaborative mission system to overcome or alleviate at least one of the known technical deficiencies.

[0009] The technical solution of this application is:

[0010] A service quality evaluation method for an aircraft collaborative mission system, comprising:

[0011] The collaborative tasks are divided into three categories: detection, interference, and delivery. The corresponding detection services include air search services, air target tracking services, and air target positioning services; the interference services include support interference services; and the delivery services include material delivery services and delivery guidance services.

[0012] Based on the detection distance, detection angle, area search time, service response time and communication transmission rate, a performance calculation model of the air search service is constructed to quantitatively evaluate the quality of the air search service.

[0013] Based on the detection distance, detection angle, tracking distance accuracy, tracking angle accuracy, tracking speed accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the air target tracking service is constructed to quantitatively evaluate the quality of the air target tracking service.

[0014] Based on the detection distance, detection angle, positioning distance accuracy, positioning angle accuracy, positioning speed accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the aerial target positioning service is constructed to quantitatively evaluate the quality of the aerial target positioning service.

[0015] Based on the interference distance, interference angle, interference angle accuracy, interference range accuracy, target interference time, service response time and interference frequency, a performance calculation model of the support interference service is constructed to quantitatively evaluate the quality of the support interference service.

[0016] Based on the delivery distance, delivery range, delivery material quantity, distance measurement accuracy and angle measurement accuracy, a performance calculation model for the delivery service is constructed to quantitatively evaluate the quality of the delivery service.

[0017] Based on the guidance distance, guidance angle, ranging accuracy, angle measurement accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the delivery guidance service itself is constructed, so as to quantitatively evaluate the quality of the delivery guidance service.

[0018] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the self-performance calculation model of the air search service is specifically:

[0019]

[0020] in,

[0021] A 1 Score the performance of the air search service itself;

[0022] D i is the detection distance, D j is the detection angle, T i is the area search time, T j is the service response time, S is the communication transmission rate;

[0023] α, β, and γ are relevant weights, where α+β=1.

[0024] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the self-performance calculation model of the air target tracking service is specifically:

[0025]

[0026] in,

[0027] A 2 Scoring the performance of the aerial target tracking service itself;

[0028] D i is the detection distance, D j is the detection angle, F a is the tracking distance accuracy, F b is the tracking angle accuracy, F c To track the speed accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate;

[0029] α, β, ω, and γ are relevant weights, where α+β+ω=1.

[0030] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the self-performance calculation model of the air target positioning service is specifically:

[0031]

[0032] in,

[0033] A 3 Provides a performance score for the aerial target positioning service itself;

[0034] D i is the detection distance, D j is the detection angle, G a is the positioning distance accuracy, G b is the positioning angle accuracy, G c is the positioning speed accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate;

[0035] α, β, ω, and γ are relevant weights, where α+β+ω=1.

[0036] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the self-performance calculation model of the support interference service is specifically:

[0037]

[0038] in,

[0039] A 4 To support the interference service's own performance scoring;

[0040] B i is the interference distance, B j is the interference angle, Q a is the interference angle accuracy, Q b is the interference range accuracy, T i is the target interference time, T j is the service response time, S is the interference frequency;

[0041] α, β, ω are related weights, where α+β+ω=1

[0042] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the performance calculation model of the material delivery service is specifically:

[0043] A 5 =[(α*H i +β*H j )+γ*(Q a +Q b )+ω*30*N];

[0044] in,

[0045] A 5 Score the performance of the material delivery service itself;

[0046] H i is the delivery distance, H j is the delivery range, Q a is the ranging accuracy, Q b is the angle measurement accuracy, N is the remaining quantity of materials;

[0047] α, β, γ, and ω are relevant weights, where α+β+γ+ω=1.

[0048] According to at least one embodiment of the present application, in the above-mentioned service quality evaluation method for the aircraft collaborative task system, the delivery guidance service performance calculation model is specifically:

[0049]

[0050] in,

[0051] A 6 Score the performance of the delivery guidance service itself;

[0052] D i is the guidance distance, Dj is the guidance angle, Q a is the ranging accuracy, Q b is the angle measurement accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate;

[0053] α, β, ω are relevant weights, where α+β+ω=1.

[0054] This application has at least the following beneficial technical effects:

[0055] A service quality evaluation method for aircraft collaborative mission systems is provided. For the three types of collaborative missions, namely detection, interference and delivery, and the corresponding six services, namely air search, air target tracking, air target positioning, support interference, material delivery and delivery guidance, quantitative performance calculation models of various services are given based on the performance of the resources providing the corresponding services and considering the actual process of the collaborative mission. The service quality is evaluated, which can provide a reference for resource organization and implementation decision-making within the collaborative mission formation. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic diagram of a service quality assessment method for an aircraft collaborative task system provided in an embodiment of the present application.

[0057] In order to better illustrate the present embodiment, some contents of the drawings may be omitted. The drawings are only used for illustrative purposes and should not be construed as limitations on the present application. DETAILED DESCRIPTION

[0058] In order to make the technical solution and advantages of the present application clearer, the technical solution of the present application will be described in further detail in detail and in detail with reference to the accompanying drawings. It can be understood that the specific embodiments described here are only partial embodiments of the present application, which are only used to explain the present application, not to limit the present application. It should be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, and other related parts can refer to the general design.

[0059] In addition, unless otherwise defined, the technical terms or scientific terms used in the description of this application shall have the usual meanings understood by those of ordinary skill in the art to which this application belongs. The words used in the description of this application to indicate orientation are only used to indicate relative directions or positional relationships. When the absolute position of the described object changes, its relative positional relationship may also change accordingly. The word "include" used in the description of this application indicates that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, but does not exclude other elements or objects.

[0060] In addition, it should be noted that, unless otherwise clearly specified and limited, the words "installation", "connection" and similar terms used in the description of this application should be understood in a broad sense. For example, the connection can be a fixed connection or a detachable connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. Technical personnel in the field can understand its specific meaning in this application according to the specific circumstances.

[0061] A service quality evaluation method for aircraft collaborative mission systems, such as Figure 1 shown.

[0062] Collaborative tasks can be divided into three categories: detection, interference, and delivery. Among them, the corresponding detection services include air search services, air target tracking services, and air target positioning services; interference services include support interference services; and delivery services include material delivery services and delivery guidance services.

[0063] The resources needed for detection services include radar and photoelectric radar. The performance of radar and photoelectric radar includes detection distance and detection angle range.

[0064] Aerial search services often appear in the pre-mission stage. Therefore, the factors that need to be considered in the quality of air search services include detection distance, detection angle, area search time, service response time and communication transmission rate. The performance calculation model of air search services is shown in the following formula 1: 1 Score the performance of the air search service itself, D i is the detection distance, D j is the detection angle, T i is the area search time, T j is the service response time, S is the communication transmission rate, α, β, γ are the relevant weights, where α+β=1.

[0065]

[0066] The factors that need to be considered for air target tracking services include detection distance, detection angle, tracking distance accuracy, tracking angle accuracy, tracking speed accuracy, area search time, service response time, and communication transmission rate. The performance calculation model for building air target tracking services is shown in Equation 2 below: 2 Score the performance of the aerial target tracking service itself, D i is the detection distance, D j is the detection angle, F a is the tracking distance accuracy, F b is the tracking angle accuracy, F c To track the speed accuracy, T i is the area search time, T jis the service response time, S is the communication transmission rate, α, β, ω, γ are the relevant weights, where α+β+ω=1.

[0067]

[0068] The factors that need to be considered for aerial target positioning services include detection distance, detection angle, positioning distance accuracy, positioning angle accuracy, positioning speed accuracy, area search time, service response time and communication transmission rate. The performance calculation model for constructing aerial target positioning services is shown in Equation 3 below: 3 Score the performance of the aerial target positioning service itself, D i is the detection distance, D j is the detection angle, G a is the positioning distance accuracy, G b is the positioning angle accuracy, G c is the positioning speed accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate, α, β, ω, γ are the relevant weights, where α+β+ω=1.

[0069]

[0070] As the environment changes continuously, the duration of the task continues to increase. Opening different detection resources at different time points should have different values. In the quality evaluation of detection services, the parameter γ is introduced to limit the performance scores of different detection services at different times.

[0071] When the mission duration is short, the number of aircraft and the resources they carry are sufficient. At this time, the strategy choice tends to find targets under the premise of protecting themselves. Therefore, the γ value of light mine detection is higher at the beginning. As the mission duration continues to increase, the aircraft may be damaged, the possibility of coordinated detection decreases, or it may be assigned to perform services with higher priority. Therefore, the γ value of light mine detection gradually decays; when the carrying resources are continuously consumed, or the number of aircraft is lost, the focus of the strategy choice will tend to be on the efficiency and speed of service completion, so the γ value of radar detection will continue to increase.

[0072] The values ​​of the parameter γ for different detection services at different task durations can be referred to as follows:

[0073] The resource required for interference services is ECM. The performance indicators of this resource include interference distance, interference angle, interference angle accuracy, interference range accuracy, target interference time, service response time and interference frequency. The performance calculation model for supporting interference services is shown in Equation 4 below: 4 To support the interference service's own performance score, B i is the interference distance, B j is the interference angle, Q a is the interference angle accuracy, Q b is the interference range accuracy, T i is the target interference time, T j is the service response time, S is the interference frequency, α, β, ω are the relevant weights, where α+β+ω=1.

[0074]

[0075] The resources needed for delivery services are materials and radars.

[0076] The factors that need to be considered for material delivery services include delivery distance, delivery range, quantity of delivered materials, distance measurement accuracy, and angle measurement accuracy. The performance calculation model for building material delivery services is shown in Equation 5 below: 5 Score the performance of the material delivery service itself, H i is the delivery distance, H j is the delivery range, Q a is the ranging accuracy, Q b is the angle measurement accuracy, N is the remaining quantity of materials, α, β, γ, ω are the relevant weights, among which α+β+γ+ω=1.

[0077] A 5 =[(α*H i +β*H j )+γ*(Q a +Q b )+ω*30*N]………(5)

[0078] The factors that need to be considered for the delivery guidance service include guidance distance, guidance angle, distance measurement accuracy, angle measurement accuracy, area search time, service response time and communication transmission rate. The performance calculation model of the delivery guidance service itself is shown in Equation 6 below: 6 Score the performance of the delivery guidance service itself, D i is the guidance distance, D j is the guidance angle, Q a is the ranging accuracy, Q b is the angle measurement accuracy, T i is the area search time, T jis the service response time, S is the communication transmission rate, α, β, ω are the relevant weights, where α+β+ω=1.

[0079]

[0080] The service quality assessment method for the aircraft collaborative task system disclosed in the above embodiment is for three types of collaborative tasks: detection, interference, and delivery, and the corresponding six services: aerial search, aerial target tracking, aerial target positioning, support interference, material delivery, and delivery guidance. Starting from the performance of the resources themselves that provide the corresponding services and considering the actual process of the collaborative task, a quantitative performance calculation model for various services is given to evaluate the service quality, which can provide a reference for resource organization and implementation decisions within the collaborative task formation.

[0081] The service quality assessment method for the aircraft collaborative mission system disclosed in the above embodiment can meet the real-time requirements and support real-time decision-making for the service quality assessment of three types of collaborative tasks in the collaborative mission system; it provides service quality influencing factors and a quality assessment calculation model for the six services under the three types of collaborative tasks, which can quantitatively evaluate services and has important guiding significance for the organization of resources within the collaborative mission formation.

[0082] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. Those skilled in the art should understand that the scope of protection of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the scope of protection of the present application.

Claims

1. A service quality evaluation method for an aircraft collaborative mission system, characterized in that: include: The collaborative tasks are divided into three categories: detection, interference, and delivery. The corresponding detection services include air search services, air target tracking services, and air target positioning services; the interference services include support interference services; and the delivery services include material delivery services and delivery guidance services. Based on the detection distance, detection angle, area search time, service response time and communication transmission rate, a performance calculation model of the air search service is constructed to quantitatively evaluate the quality of the air search service. Based on the detection distance, detection angle, tracking distance accuracy, tracking angle accuracy, tracking speed accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the air target tracking service is constructed to quantitatively evaluate the quality of the air target tracking service. Based on the detection distance, detection angle, positioning distance accuracy, positioning angle accuracy, positioning speed accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the aerial target positioning service is constructed to quantitatively evaluate the quality of the aerial target positioning service. Based on the interference distance, interference angle, interference angle accuracy, interference range accuracy, target interference time, service response time and interference frequency, a performance calculation model of the support interference service is constructed to quantitatively evaluate the quality of the support interference service. Based on the delivery distance, delivery range, delivery material quantity, distance measurement accuracy and angle measurement accuracy, a performance calculation model for the delivery service is constructed to quantitatively evaluate the quality of the delivery service. Based on the guidance distance, guidance angle, ranging accuracy, angle measurement accuracy, area search time, service response time and communication transmission rate, a performance calculation model of the delivery guidance service itself is constructed, so as to quantitatively evaluate the quality of the delivery guidance service.

2. The service quality evaluation method for an aircraft collaborative task system according to claim 1 is characterized in that: The performance calculation model of the air search service is as follows: in, A1 is the performance score of the air search service itself; D i is the detection distance, D j is the detection angle, T i is the area search time, T j is the service response time, S is the communication transmission rate; α, β, and γ are relevant weights, where α+β=1.

3. The service quality evaluation method for an aircraft collaborative task system according to claim 1, characterized in that: The performance calculation model of the air target tracking service is as follows: in, A2 is the performance score of the aerial target tracking service itself; D i is the detection distance, D j is the detection angle, F a is the tracking distance accuracy, F b is the tracking angle accuracy, F c To track speed accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate; α, β, ω, and γ are relevant weights, where α+β+ω=1.

4. The service quality evaluation method for an aircraft collaborative task system according to claim 1, characterized in that: The performance calculation model of the aerial target positioning service is as follows: in, A3 is the performance score of the aerial target positioning service itself; D i is the detection distance, D j is the detection angle, G a is the positioning distance accuracy, G b is the positioning angle accuracy, G c is the positioning speed accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate; α, β, ω, and γ are relevant weights, where α+β+ω=1.

5. The service quality evaluation method for an aircraft collaborative task system according to claim 1, characterized in that: The self-performance calculation model supporting interference services is as follows: in, A4 is the performance score of the support interference service itself; B i is the interference distance, B j is the interference angle, Q a is the interference angle accuracy, Q b is the interference range accuracy, T i is the target interference time, T j is the service response time, S is the interference frequency; α, β, ω are relevant weights, where α+β+ω=1.

6. The service quality evaluation method for an aircraft collaborative task system according to claim 1, characterized in that: The performance calculation model of the material delivery service is as follows: A5=[(α*H i +β*H j )+γ*(Q a +Q b )+ω*30*N]; in, A5 is the performance score of the material delivery service itself; H i is the delivery distance, H j is the delivery range, Q a is the ranging accuracy, Q b is the angle measurement accuracy, N is the remaining quantity of materials; α, β, γ, and ω are relevant weights, where α+β+γ+ω=1.

7. The service quality evaluation method for an aircraft collaborative task system according to claim 1, characterized in that: The performance calculation model of the delivery guidance service itself is as follows: in, A6 is the performance score of the delivery guidance service itself; D i is the guidance distance, D j is the guidance angle, Q a is the ranging accuracy, Q b is the angle measurement accuracy, T i is the area search time, T j is the service response time, S is the communication transmission rate; α, β, ω are relevant weights, where α+β+ω=1.