Method and device for evaluating interoperability of test launch control system

Abstract

The invention relates to a test launch control system interoperability evaluation method and device. The method comprises the following steps: establishing a mapping relation between interoperability evaluation factors and system attributes; actually measuring the interoperability evaluation factor, and determining the grade of the corresponding system attribute according to the mapping relation based on the actual measurement result; and evaluating the test launch control system according to the grade of the system attribute. According to the invention, intelligent evaluation of the interoperability of the test launch control system can be realized, and the limitation of subjective judgment in the existing evaluation method can be avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of system evaluation, and more particularly to a method and device for evaluating interoperability of a test, launch and control system. Background Art

[0002] With the development of aerospace technology, the test, launch and control system of launch vehicles has become increasingly complex, involving the collaborative work of multiple subsystems. As the communication hub for information exchange between launch vehicles and test personnel, the test, launch and control system not only needs to accurately and reliably convey control instructions to the rocket, but is also responsible for collecting, storing, applying and managing all rocket test data, and transmitting, processing and presenting information such as test processes, test status and test data in real time to the commanders of each system and professional interpretation personnel. The test, launch and control system involves a large amount of interoperability with other systems, and its interoperability capability level directly determines the success of the launch of the launch vehicle. Therefore, it is particularly important to evaluate its interoperability.

[0003] At present, existing evaluation methods often only focus on some evaluation factors, such as interface compatibility, data format, etc., but ignore factors such as system architecture, functional collaboration, data security, and real-time performance, resulting in incomplete evaluation results. At the same time, they usually only use qualitative descriptions, such as "good", "average", "poor", etc., lack of quantitative indicators, and it is difficult to conduct objective evaluation.

[0004] In addition, some evaluation methods require a lot of manual operations, such as collecting data and analyzing data, which leads to low evaluation efficiency.

[0005] Therefore, how to overcome the above problems when evaluating the interoperability of the measurement, launch and control system is an issue that technical personnel in this field need to solve urgently. Summary of the invention

[0006] In view of this, in order to at least partially solve the above technical problems, the present invention provides a method and device for evaluating interoperability of a test, launch and control system. In order to achieve the above objectives, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention discloses a method for evaluating interoperability of a test, launch and control system, comprising:

[0008] Establish the mapping relationship between interoperability assessment factors and system attributes;

[0009] Measured interoperability evaluation factors, based on the measured results and the mapping relationship, determine the level of the corresponding system attributes;

[0010] The measurement, launch and control system is evaluated according to the level of system attributes.

[0011] As a preferred approach, DoDAF is used to build a structured framework from the three aspects of the capability, function and operation of the test, launch and control system to extract interoperability assessment factors; the capability aspect includes the construction of the CV-1 capability concept view and the CV-2 capability decomposition view; the function aspect includes the construction of the SV-4 system function model and the SV-10c system event tracking model; the operation aspect includes the construction of the OV-1 top-level operational concept diagram and the OV-5 operational activity model.

[0012] Preferably, the extracted interoperability evaluation factors include power supply and distribution output, process control, information communication, on-board equipment control function, data display and interpretation function, operation monitoring function and data acquisition function.

[0013] Preferably, the system attributes include structure, application, data, security and real-time performance;

[0014] Structural attribute indicators include communication protocol compatibility, interface definition consistency, functional logic consistency, data format standardization, and term definition uniformity;

[0015] Application attribute indicators include strategy optimization mechanism, joint decision-making strategy, task resource allocation, task priority management, information synchronization mechanism, operation process annotation and task status monitoring;

[0016] Data attribute indicators include data synchronization strategy, data transmission reliability, data availability verification, data redundancy strategy, data accuracy verification, data standard compatibility and data definition specifications;

[0017] Security attribute indicators include authority management mechanism, security authentication management, security management specifications, data encryption mechanism, security monitoring mechanism, authentication mechanism standardization and data transmission protection;

[0018] Real-time attribute indicators include fault warning mechanism, fault diagnosis efficiency, optimized delay strategy, rapid response evaluation and immediate processing mechanism.

[0019] Preferably, the interoperability evaluation factors are measured, and the levels of the corresponding system attributes are determined according to the mapping relationship based on the measured results, including:

[0020] The measured results are converted into scores of corresponding attribute indicators according to the mapping relationship, and the scores are in the range of [0, 100];

[0021] The level of the attribute is determined according to the score of the attribute indicator.

[0022] Preferably, the levels of attributes include isolation level, connection level, functional level, integration level, collaboration level and general level.

[0023] Preferably, a convolutional neural network is constructed, and the scores of the attribute indicators and the levels of the corresponding attributes are used as samples to train the convolutional neural network;

[0024] Using the trained convolutional neural network, the level of the attribute is determined according to the score of the attribute indicator.

[0025] In a second aspect, the present application discloses a device for evaluating interoperability of a test, launch and control system, comprising:

[0026] A mapping relationship generation module, used to establish a mapping relationship between interoperability evaluation factors and system attributes;

[0027] An evaluation factor measurement module is used to measure interoperability evaluation factors and obtain measurement results;

[0028] The attribute level determination module is used to determine the level of the corresponding system attribute according to the mapping relationship based on the measured results;

[0029] The system evaluation module is used to evaluate the measurement, launch and control system according to the level of system attributes.

[0030] As a preferred method, an evaluation factor determination module is also included, which is used to use DoDAF to build a structured framework from the three aspects of the capability, function and operation of the test, launch and control system to extract interoperability evaluation factors;

[0031] Among them, the capability aspect includes building the CV-1 capability concept view and the CV-2 capability decomposition view; the functional aspect includes building the SV-4 system function model and the SV-10c system event tracking model; the operational aspect includes building the OV-1 top-level operational concept map and the OV-5 operational activity model.

[0032] Preferably, the attribute level determination module includes:

[0033] An attribute index score determination unit, used to convert the measured result into a score of a corresponding attribute index according to the mapping relationship;

[0034] The attribute level determination unit is used to determine the level of the attribute according to the score of the attribute indicator.

[0035] It can be seen from the above technical solution that, compared with the prior art, the present invention discloses a method and device for evaluating the interoperability of a measurement, launch and control system. By establishing a mapping relationship between evaluation factors and system attributes, and performing quantitative scoring through actual measurement results, the interoperability level of the measurement, launch and control system is finally obtained. This application not only realizes the quantitative evaluation of the interoperability of the measurement, launch and control system, but also improves the evaluation efficiency and avoids the limitations of subjective judgment.

[0036] In addition, the beneficial effects of this application also include:

[0037] (1) Using DoDAF to build a structured framework from the three aspects of capability, function, and operation can clearly describe the functions and tasks of the test, launch, and control system. Based on this, interoperability assessment factors can be extracted to provide a reliable basis for assessment;

[0038] (2) By building a structured framework, extracting multiple interoperability evaluation factors, and evaluating them from the five attributes of structure, application, data, security, and real-time, a comprehensive evaluation of the interoperability of the test, launch, and control system was achieved;

[0039] (3) This application further constructs a convolutional neural network, which improves the accuracy and efficiency of the evaluation by utilizing deep learning technology to predict the level of system attributes.

[0040] The technical solution disclosed in the present invention has been applied to the interoperability evaluation of actual rocket test, launch and control systems, and achieved ideal results, proving its feasibility and practicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0042] Figure 1 This is a flow chart of the interoperability evaluation method of the test, launch and control system of the present invention;

[0043] Figure 2 This is a DoDAF 8 viewpoint content display diagram of the present invention;

[0044] Figure 3 A conceptual view of the CV-1 capabilities constructed for the present invention;

[0045] Figure 4 A breakdown of the CV-2 capabilities constructed for the present invention;

[0046] Figure 5 The top-level operational concept diagram of OV-1 constructed for the present invention;

[0047] Figure 6 The OV-5 combat activity model diagram constructed for the present invention;

[0048] Figure 7 The functional model of the SV-4 system constructed for the present invention;

[0049] Figure 8 The SV-10c system event tracking model constructed for the present invention;

[0050] Fig. 9 It is a structural attribute mapping relationship diagram of the present invention;

[0051] Fig.10 It is a property mapping relationship diagram of the application of the present invention;

[0052] Fig.11 It is a data attribute mapping relationship diagram of the present invention;

[0053] Fig.12 It is a security attribute mapping relationship diagram of the present invention;

[0054] Fig.13 This is a real-time attribute mapping relationship diagram of the present invention;

[0055] Fig.14 A schematic diagram of the principle of determining the interoperability level using a neural network in the present invention;

[0056] Fig.15 This is a flow chart of the convolutional neural network modeling steps of the present invention;

[0057] Fig.16 A flow chart of determining the interoperability level using a neural network according to the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Aiming at the interoperability evaluation problem of measurement, launch, and control systems, the present invention provides a measurement, launch, and control system interoperability evaluation method and device, specifically, a UAV interoperability quantitative evaluation method based on DoDAF modeling.

[0060] In one embodiment, the evaluation method is as follows Figure 1 As shown, the steps include:

[0061] Establish the mapping relationship between interoperability assessment factors and system attributes;

[0062] Measured interoperability evaluation factors, based on the measured results and the mapping relationship, determine the level of the corresponding system attributes;

[0063] The measurement, launch and control system is evaluated according to the level of system attributes.

[0064] In an exemplary embodiment, the data and information in the system are analyzed from different perspectives based on DoDAF to model the test, launch and control system, that is, to build a structured framework to extract interoperability assessment factors.

[0065] In this embodiment, DoDAF2.0 is preferably used. DoDAF2.0 includes 8 viewpoints, namely, panoramic viewpoint AV, capability viewpoint CV, data and information viewpoint DIV, operational viewpoint OV, project viewpoint PV, service viewpoint SrcV, standard viewpoint StdV and system viewpoint. Figure 2 .

[0066] According to an embodiment of the present invention, when modeling the test, launch and control system, a structured framework is built from three aspects: capability, function and operation; specifically:

[0067] Capability modeling includes constructing CV-1 capability concept view and CV-2 capability decomposition view;

[0068] Firstly, the rocket test, launch and control system is analyzed, which can be divided into front-end test and control equipment and back-end test, launch and control system;

[0069] The task of the front-end measurement and control equipment is mainly to transmit the on-rocket data such as analog quantities and state quantities collected by the equipment on the rocket to the back-end system for data interpretation, processing and analysis. It will also respond to the control instructions sent by the back-end system and transmit the instructions to the on-rocket equipment through the channel to realize the control of the electronic products on the rocket.

[0070] The task of the back-end ground test, launch and control system is to receive and process data from the onboard equipment, and display the data status in front of the staff through the test, launch and control ground software.

[0071] Therefore, the capabilities of the test, launch and control system should be divided into front-end equipment capabilities and back-end equipment capabilities. The CV-1 capability concept view constructed from this is as follows: Figure 3 As shown;

[0072] Then, the capabilities in CV-1 are decomposed to construct the CV-2 capability decomposition view; that is, the front-end signal acquisition, control equipment, power supply and distribution output capabilities and the back-end process control, information processing and interpretation, and status monitoring capabilities are decomposed respectively. The resulting CV-2 capability decomposition view is as follows: Figure 4 shown.

[0073] Furthermore, operational modeling includes constructing the OV-1 top-level operational concept diagram and the OV-5 operational activity model;

[0074] This application constructs the OV-1 top-level operational concept diagram based on the mission requirements and capability perspective CV-related models of the rocket test, launch and control system, such as Figure 5As shown. The focus of the operational view is to describe the system's operational tasks, task executors, and the relationship between various operational capabilities. The rocket test, launch, and control system model describes that the system's tasks can be summarized as: controlling equipment, measuring data, and information communication between front-end and back-end equipment.

[0075] The OV-5 combat activity model is described from three aspects: control equipment, measurement data, and information communication of the on-arrow test and launch control system. Figure 6 As shown. According to the instructions of the main control computer, the front-end terminal includes activities such as controlling the ground power supply, power supply and distribution of the equipment on the rocket, ignition, and shedding. The activities in the control equipment are the key to the normal operation of the test and launch control system process. The status of the rocket can be reflected according to these activities. The activities of test data can be summarized as sending data to the display and interpretation terminal, and then real-time data display and interpretation are performed at the back-end terminal, and the front-end computer performs test diagnosis based on real-time data. Information communication is mainly to realize information exchange between the front-end and the back-end.

[0076] Functional modeling includes building the SV-4 system functional model and the SV-10c system event tracking model;

[0077] The present invention describes the functions of the rocket test, launch and control system, the interface connection relationship between systems and system events from the perspective of system view. The SV-4 system function model mainly describes the functions of the test, launch and control system. Its general functions include: on-board equipment control function, data display and interpretation function, data acquisition function, and operation monitoring function. Each function pair consists of several sub-functions, such as Figure 7 shown.

[0078] For the measurement data information communication task of the rocket test, launch and control system, each subsystem is connected through events. By tracking and sorting out their information exchange relationships, a system event tracking description model is formed, such as Figure 8 shown.

[0079] In an exemplary embodiment, the system is analyzed from three perspectives of DoDAF, and these three aspects are comprehensively considered when evaluating the system interoperability. The results are more easily reflected based on the system operation. From the perspective of evaluation, starting from the factors that have a greater impact on the system interoperability attributes, seven factors that affect the interoperability of the measurement, launch and control system are extracted: power supply and distribution output, process control, information communication, on-board equipment control function, data display and interpretation function, operation monitoring function and data acquisition function.

[0080] At the same time, based on the LISI model, the five attributes of the measurement, launch and control system, namely structure, application, data, security and real-time performance, are evaluated, and the mapping relationship between the seven factors and each attribute is established.

[0081] In this embodiment, each attribute index is further determined to establish a mapping relationship between the evaluation factor and the secondary attribute. Specifically,

[0082] Structural attributes are an evaluation of the compatibility and consistency of the architecture, platform, and network facilities in the system. They refer to whether the various subsystems use a unified architecture and support standardized communication protocols, data formats, and control interfaces. The indicators include communication protocol compatibility, interface definition consistency, functional logic consistency, data format standardization, and term definition uniformity. The mapping relationship between the seven factors and the indicators of structural attributes is as follows: Fig. 9 shown.

[0083] Application attributes are an evaluation of the synergy and interoperability of system functions, referring to whether the various subsystems can work together effectively, such as information sharing, task allocation, joint decision-making, etc. Its indicators include strategy optimization mechanism, joint decision-making strategy, task resource allocation, task priority management, information synchronization mechanism, operation process annotation and task status monitoring; the mapping relationship between the seven factors and the various application attribute indicators is as follows: Fig.10 shown.

[0084] Data attributes are an evaluation of data standardization, data transmission quality and reliability. They refer to whether unified data standards are adopted between subsystems, whether data security transmission and storage can be ensured, and whether data quality and consistency are guaranteed. Its indicators include data synchronization strategy, data transmission reliability, data availability verification, data redundancy strategy, data accuracy verification, data standard compatibility and data definition specifications; the mapping relationship between the seven factors and the indicators of data attributes is as follows: Fig.11 shown.

[0085] Security attributes are an evaluation of the system's security assurance capabilities, referring to whether the system has complete security authentication, access control, data encryption and other mechanisms, and whether a strict information security management system has been established to effectively resist various security threats. Its indicators include permission management mechanism, security authentication management, security management specifications, data encryption mechanism, security monitoring mechanism, authentication mechanism standardization and data transmission protection; the seven factors have an impact on each security attribute indicator. Fig.12 shown.

[0086] Real-time performance is an evaluation of the system's ability to respond to real-time requirements, which refers to whether the system can respond to various instructions and requests in a timely manner. The corresponding indicators include fault warning mechanism, fault diagnosis efficiency, optimized delay strategy, rapid response evaluation and immediate processing mechanism. The mapping relationship between the seven factors and the real-time attribute indicators is as follows: Fig.13 shown.

[0087] In an exemplary embodiment, the interoperability evaluation factors are measured, and the level of the corresponding system attribute is determined according to the mapping relationship based on the measured results, including:

[0088] The measured results are converted into scores of corresponding attribute indicators according to the mapping relationship, and the scores are in the range of [0, 100]. In this embodiment, the scores are given by experts;

[0089] Furthermore, the level of the attribute is determined based on the scores of the attribute indicators and based on expert experience. The interoperability level is [0,5], corresponding to isolation level, connection level, function level, integration level, collaboration level and general level. Please refer to the following table for details, where:

[0090] grade name structure application data Safety Real-time 5 General Grade Converged Architecture Self-reliance Data Fusion Defense in Depth Real-time response 4 Collaboration Level Highly integrated Collaborative Intelligence Efficient transmission Multi-layered protection Efficient and real-time 3 Integration level Module Architecture Collaborative Execution Standard Specifications Safe and reliable On-time response 2 Functional level Standard connection Functional Interconnection Data consistency Basic protection Basic satisfaction 1 Connection level Infrastructure Information transmission Data Differences Weak security Delayed response 0 Isolation Level Standalone system Complete isolation Standard confusion No guarantee Unable to achieve

[0091] Isolation level: The isolation level system adopts a completely independent operation mode, and each part is completely isolated from each other. There are problems of confusion and lack of standards between data. Lacking effective security protection measures, the system cannot guarantee the secure transmission and integrity of data, and cannot meet the needs of real-time tasks. The maintenance and management of the system is extremely difficult and requires highly professional skills and resource support;

[0092] Connection level: There is a basic connection between each subsystem, which can realize basic information sharing and data transmission. Although there may be inconsistencies in the data, the system can realize the transmission of some real-time data and basic operation and maintenance management under preliminary security protection. The real-time capability of the system is limited, and it needs to be optimized and improved in operation and management;

[0093] Functional level: Through standardized connections and functional collaboration, the functional level system can achieve effective interaction and data sharing between various functional modules. The internal data of the system maintains consistency, and the basic security protection mechanism ensures the secure transmission of data and basic operational safety. Although the real-time support capability of the system is limited, it can still meet the needs of most non-real-time tasks. The easy-to-maintain feature makes system management and operation and maintenance simpler and more efficient.

[0094] Integration level: The integration level system adopts a modular design, which can effectively integrate and manage the coordinated control and data flow of each subsystem. The standardized processing of internal data in the system ensures the consistency and accuracy of the data, and the reliable security protection mechanism ensures the security and credibility of system operation. Although the real-time processing capability of the system is slightly limited, the system can still respond and handle events in a timely manner in most cases, and the convenient operation and maintenance management ensures the long-term stability and efficient operation of the system.

[0095] Collaboration level: The collaboration level system achieves highly coordinated work among various subsystems through a deeply integrated architecture, enabling fast and efficient data flow and information sharing. The multi-level security protection mechanism effectively guarantees the security and reliability of the system, ensuring efficient processing and response of the system in the face of threats and attacks. Efficient data processing and real-time capabilities, as well as agile operation and maintenance response, enable the system to maintain flexible and reliable operation in a dynamic environment.

[0096] General-purpose: The general-purpose launch control system adopts a unified architecture, which not only enables the system to operate autonomously and integrate data, but also can cope with complex operating environments and diverse mission requirements. Its data integration capability ensures the efficient integration of various information sources, thereby supporting intelligent decision-making and advanced application functions. Comprehensive security protection mechanisms ensure the confidentiality and integrity of system data, and real-time processing capabilities ensure the system's immediate response to real-time events. At the same time, efficient operation and maintenance ensures the long-term stable operation of the system.

[0097] As a preferred embodiment, a convolutional neural network is constructed to determine the level of the attribute according to the score of the attribute index. In this embodiment, the convolutional neural network is a multi-layer perceptron of a deep learning model, which mainly consists of four layers: data input layer, convolution calculation layer, pooling layer and full connection layer. The principle is as follows Fig.14 As shown. And the neural network uses the scores of attribute indicators and the corresponding attribute levels as samples and is pre-trained. The specific modeling steps are as follows Fig.15 ; At this time, the interoperability level assessment method of the test, launch and control system is as follows: Fig.16 shown.

[0098] Finally, the test, launch and control system is evaluated according to the levels of system attributes. Preferably, the smallest level among the levels is used as the interoperability level of the test, launch and control system, that is, the minimum level principle.

[0099] The system interoperability level model constructed by the present invention evaluates the five attributes of the system, namely, structure, application, data, security, and real-time performance, according to the mission requirements and characteristics of the rocket test, launch, and control system. Based on the four views of DoDAF2.0, the three aspects of the system's capabilities, functions, and operations are elaborated in detail, a structured system framework is built, and interoperability evaluation factors are extracted. A mapping relationship between these factors and the secondary attributes of the test, launch, and control system interoperability level is established, and then through actual measurement of these factors, the secondary attribute scores of the test, launch, and control system interoperability level and samples of the corresponding attribute levels are obtained, and modeled by a convolutional neural network. Finally, the established model predicts the level of the new secondary attribute scores, and the level prediction results of the five attributes are integrated to determine the final test, launch, and control system interoperability level.

[0100] At present, a tool with the technical solution of this application as the core technology has been developed and has been applied in the interoperability evaluation of a certain rocket test, launch and control system, achieving very ideal results.

[0101] In another embodiment, a device for evaluating interoperability of a test, launch and control system is disclosed, comprising:

[0102] A mapping relationship generation module, used to establish a mapping relationship between interoperability evaluation factors and system attributes;

[0103] An evaluation factor measurement module is used to measure interoperability evaluation factors and obtain measurement results;

[0104] The attribute level determination module is used to determine the level of the corresponding system attribute according to the mapping relationship based on the measured results;

[0105] The system evaluation module is used to evaluate the measurement, launch and control system according to the level of system attributes.

[0106] Furthermore, the attribute level determination module includes:

[0107] An attribute index score determination unit, used to convert the measured result into a score of the corresponding attribute index according to the mapping relationship;

[0108] The attribute level determination unit is used to determine the level of the attribute according to the score of the attribute indicator.

[0109] To further optimize the above technical solutions, the device also includes an evaluation factor determination module, which is used to use DoDAF to build a structured framework from the three aspects of the test, launch and control system's capabilities, functions and operations to extract interoperability evaluation factors;

[0110] Among them, the capability aspect includes building the CV-1 capability concept view and the CV-2 capability decomposition view; the functional aspect includes building the SV-4 system function model and the SV-10c system event tracking model; the operational aspect includes building the OV-1 top-level operational concept map and the OV-5 operational activity model.

[0111] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0112] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for evaluating interoperability of a test, launch and control system, characterized in that: include: Establish the mapping relationship between interoperability assessment factors and system attributes; Measured interoperability evaluation factors, based on the measured results and the mapping relationship, determine the level of the corresponding system attributes; The measurement, launch and control system is evaluated according to the level of system attributes.

2. A method for evaluating interoperability of a test, launch and control system according to claim 1, characterized in that: DoDAF is used to build a structured framework from the three aspects of capability, function and operation of the test, launch and control system to extract interoperability assessment factors. The capability aspect includes the construction of CV-1 capability concept view and CV-2 capability decomposition view; the function aspect includes the construction of SV-4 system function model and SV-10c system event tracking model; the operation aspect includes the construction of OV-1 top-level operational concept diagram and OV-5 operational activity model.

3. A method for evaluating interoperability of a test, launch and control system according to claim 1 or 2, characterized in that: The extracted interoperability assessment factors include power supply and distribution output, process control, information communication, on-board equipment control function, data display and interpretation function, operation monitoring function and data acquisition function.

4. A method for evaluating interoperability of a test, launch and control system according to claim 1, characterized in that: System attributes include structure, application, data, security and real-time performance; among them, Structural attribute indicators include communication protocol compatibility, interface definition consistency, functional logic consistency, data format standardization, and term definition uniformity; Application attribute indicators include strategy optimization mechanism, joint decision-making strategy, task resource allocation, task priority management, information synchronization mechanism, operation process annotation and task status monitoring; Data attribute indicators include data synchronization strategy, data transmission reliability, data availability verification, data redundancy strategy, data accuracy verification, data standard compatibility and data definition specifications; Security attribute indicators include authority management mechanism, security authentication management, security management specifications, data encryption mechanism, security monitoring mechanism, authentication mechanism standardization and data transmission protection; Real-time attribute indicators include fault warning mechanism, fault diagnosis efficiency, optimized delay strategy, rapid response evaluation and immediate processing mechanism.

5. A method for evaluating interoperability of a test, launch and control system according to claim 4, characterized in that: The measured interoperability evaluation factors are based on the measured results and the corresponding system attribute levels are determined according to the mapping relationship, including: According to the mapping relationship, the measured results are converted into scores of corresponding attribute indicators. The level of the attribute is determined according to the score of the attribute indicator.

6. A method for evaluating interoperability of a test, launch and control system according to claim 5, characterized in that: The levels of attributes include isolation level, connection level, functional level, integration level, collaboration level, and general level.

7. A method for evaluating interoperability of a test, launch and control system according to claim 5, characterized in that: Constructing a convolutional neural network, taking the scores of the attribute indicators and the levels of the corresponding attributes as samples, and training the convolutional neural network; Using the trained convolutional neural network, the level of the attribute is determined according to the score of the attribute indicator.

8. A device for evaluating interoperability of a test, launch and control system, characterized in that: include: A mapping relationship generation module, used to establish a mapping relationship between interoperability evaluation factors and system attributes; An evaluation factor measurement module is used to measure interoperability evaluation factors and obtain measurement results; The attribute level determination module is used to determine the level of the corresponding system attribute according to the mapping relationship based on the measured results; The system evaluation module is used to evaluate the measurement, launch and control system according to the level of system attributes.

9. The device for evaluating interoperability of a test, launch and control system according to claim 8, characterized in that: It also includes an evaluation factor determination module, which is used to use DoDAF to build a structured framework from the three aspects of the test, launch and control system's capabilities, functions and operations to extract interoperability evaluation factors; Among them, the capability aspect includes building the CV-1 capability concept view and the CV-2 capability decomposition view; the functional aspect includes building the SV-4 system function model and the SV-10c system event tracking model; the operational aspect includes building the OV-1 top-level operational concept map and the OV-5 operational activity model.

10. The device for evaluating interoperability of a test, launch and control system according to claim 8, characterized in that: The attribute level determination module includes: An attribute index score determination unit, used to convert the measured result into a score of the corresponding attribute index according to the mapping relationship; The attribute level determination unit is used to determine the level of the attribute according to the score of the attribute indicator.

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