Joint test data processing system and method

Abstract

The invention discloses a combined test data processing system and method. The system comprises a scene driving subsystem, a test description subsystem, a virtual environment subsystem and a physical resource subsystem. The scene driving subsystem is respectively connected with the test description subsystem and the virtual environment subsystem and is used for generating scene space composition information and task flow information according to a user instruction; the test description subsystem is used for generating test flow information according to the task flow information; the virtual environment subsystem is used for generating a simulation test scene according to scene space composition information; and the physical resource subsystem is respectively connected with the test description subsystem and the virtual environment subsystem, and is used for carrying out test in the simulation test scene according to the test process information and the driving material resources to obtain a test data set, and carrying out evaluation processing on the test data set to obtain a joint test evaluation result.

Description

Technical Field

[0001] The present invention relates to the technical field of experimental testing and distributed simulation, and in particular to a joint experimental data processing system and method. Background Art

[0002] At present, joint testing is to establish a public and distributed joint testing environment by integrating and utilizing various available data, models, simulation systems, and computer software and hardware resources, so as to achieve seamless connection between virtual simulation, constructive simulation and live simulation, complete the interconnection of simulation systems of different types and geographical locations, as well as the mutual use of test resources and the sharing of test data, and apply scientific methods and processes to test and verify the joint working capabilities of individual equipment and equipment systems, and provide scientific decision-making basis for future equipment development and system construction. Joint testing is largely a continuation and upgrade of distributed simulation technology. The current joint testing technology is not standardized in the role definition and planning configuration of virtual and real resources, lacks a description of the relationship between the working scenario model and the test scenario model, and lacks a comprehensive, objective and accurate evaluation of the test effect, which leads to a disconnect between test activities and actual activities at the business level. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a joint test data processing system and method, which is conducive to standardizing the role definition and planning configuration of virtual and real resources, and describing the relationship between the test scenario model and the work scenario model, so as to achieve a comprehensive, objective and accurate evaluation of the test effect.

[0004] In order to solve the above technical problems, the first aspect of the embodiment of the present invention discloses a joint test data processing system and method, the system comprising: a scenario driving subsystem, a test description subsystem, a virtual environment subsystem and a physical resource subsystem;

[0005] The scene driving subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to generate scene space composition information and task flow information according to user instructions;

[0006] The test description subsystem is used to generate test process information according to the task process information;

[0007] The virtual environment subsystem is used to generate a simulation test scene according to the scene space composition information;

[0008] The physical resource subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to drive the virtual model of the test equipment and the virtual model of the accompanying test equipment to perform test tests in the simulation test scene according to the test process information, obtain a test data set, evaluate the test data set, and obtain a joint test evaluation result.

[0009] The user instruction includes the working scene information of the tested device and the working process information of the tested device;

[0010] The scene driving subsystem generates scene space composition information and task flow information according to user instructions, including:

[0011] The scene driving subsystem extracts the working scene information of the device under test from the user instructions, and generates the scene space composition information according to the working scene information of the device under test; extracts the working process information of the device under test from the user instructions, and generates the task process information according to the working process information of the device under test.

[0012] The test description subsystem generates test process information according to the task process information, including:

[0013] The task process information includes the starting point and end point of the tested device, the parameters to be tested of the tested device, and the interaction between the tested device and the test environment; the test process information includes the target motion trajectory, the acquisition device information, and the motion trajectory of the accompanying test device;

[0014] The test description subsystem plans the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; determines the acquisition device information according to the parameters to be tested of the test device; and determines the motion trajectory of the accompanying test device according to the interactive relationship between the test device and the test environment.

[0015] The virtual environment subsystem includes a three-dimensional display unit, a collision detection unit, a detail level control unit, a building position and scaling processing unit, and a three-dimensional engine simulation service unit;

[0016] The three-dimensional display unit is connected to the collision detection unit, detail level control unit, building position and scaling processing unit, and three-dimensional engine simulation service unit respectively, and is used to receive display information of the collision detection unit, detail level control unit, building position and scaling processing unit, generate a simulation test scene; and send the simulation test scene to the physical resource subsystem.

[0017] The physical resource subsystem includes acquisition equipment, virtual simulation platform, and evaluation equipment;

[0018] The virtual simulation platform includes a virtual model of the tested device, a virtual model of the accompanying test device, and a simulation server; the simulation server is used to drive the virtual model of the tested device and the virtual model of the accompanying test device to move in the simulation test scene according to the set motion trajectory according to the test process information;

[0019] The acquisition device is used to acquire the test data set according to the acquisition device information during the movement of the virtual model of the tested device and the virtual model of the accompanying test device in the simulation test scene;

[0020] The evaluation device is used to perform evaluation processing on the experimental test data set to obtain a joint experiment evaluation result.

[0021] The step of evaluating the test data set to obtain a joint test evaluation result includes:

[0022] A test matrix is ​​constructed using the experimental test data set; a row vector of the test matrix is ​​a sequence composed of sampling values ​​of a type of parameter to be tested at a number of discrete sampling moments;

[0023] Obtaining a reference vector; the reference vector is a sequence consisting of standard values ​​of all types of parameters to be measured;

[0024] The test matrix S and the reference vector r are subjected to an association calculation process to obtain an association matrix V; the calculation expression of the association calculation process is:

[0025]

[0026] Among them, s k i is the element of the kth row and ith column of the test matrix S, m and n are the row and column dimensions of the test matrix S, r k is the kth element of the reference vector r, v ki represents the element in the kth row and ith column of the association matrix, and ρ is the association calculation factor;

[0027] Using the first mean calculation model, the correlation matrix V is processed by mean calculation to obtain a mean vector;

[0028] Performing cross-correlation calculation processing on all row vectors of the test matrix S to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​of the i-th row elements and the j-th row elements of the test matrix S;

[0029] Decomposing the cross-correlation matrix to obtain a feature matrix;

[0030] The diagonal elements of the characteristic matrix are extracted as weighted vectors, and the weighted vectors are used to perform weighted summation processing on the mean vectors to obtain the joint test evaluation result value.

[0031] The first mean calculation model is:

[0032]

[0033] Among them, a k is the kth element of the mean vector;

[0034] The decomposition process is calculated as follows:

[0035] Y=UAV,

[0036] Among them, U is the left decomposition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and Y is the cross-correlation matrix.

[0037] A second aspect of an embodiment of the present invention discloses a joint test data processing method, which is implemented by using the joint test data processing system, and includes:

[0038] S1, using the scene driving subsystem to generate scene space composition information and task flow information according to user instructions;

[0039] S2, using the test description subsystem to generate test process information according to the task process information;

[0040] S3, using the virtual environment subsystem to generate a simulation test scene according to the scene space composition information;

[0041] S4, using the physical resource subsystem, according to the test process information, driving the material resources to perform test in the simulation test scenario, obtaining a test data set, evaluating the test data set, and obtaining a joint test evaluation result.

[0042] The method of using the test description subsystem to generate test process information according to the task process information includes:

[0043] The test description subsystem is used to plan the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; the acquisition device information is determined according to the parameters to be tested of the test device; the motion trajectory of the accompanying test device is determined according to the interactive relationship between the test device and the test environment;

[0044] The method of using the test description subsystem to generate test process information according to the task process information includes:

[0045] The test description subsystem is used to plan the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; the acquisition device information is determined according to the parameters to be tested of the test device; and the motion trajectory of the accompanying test device is determined according to the interactive relationship between the test device and the test environment.

[0046] The step of evaluating the test data set to obtain a joint test evaluation result includes:

[0047] A test matrix is ​​constructed using the experimental test data set; a row vector of the test matrix is ​​a sequence composed of sampling values ​​of a type of parameter to be tested at a number of discrete sampling moments;

[0048] Obtaining a reference vector; the reference vector is a sequence consisting of standard values ​​of all types of parameters to be measured;

[0049] The test matrix S and the reference vector r are subjected to an association calculation process to obtain an association matrix V; the calculation expression of the association calculation process is:

[0050]

[0051] Among them, s ki is the element in the kth row and ith column of the test matrix S, m and n are the row and column dimensions of the test matrix S, r k is the kth element of the reference vector r, v ki represents the element in the kth row and ith column of the association matrix, and ρ is the association calculation factor;

[0052] Using the first mean calculation model, the correlation matrix V is processed by mean calculation to obtain a mean vector;

[0053] Performing cross-correlation calculation processing on all row vectors of the test matrix S to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​of the i-th row elements and the j-th row elements of the test matrix S;

[0054] Decomposing the cross-correlation matrix to obtain a feature matrix;

[0055] The diagonal elements of the characteristic matrix are extracted as weighted vectors, and the weighted vectors are used to perform weighted summation processing on the mean vectors to obtain the joint test evaluation result value.

[0056] The beneficial effects of the present invention are:

[0057] The present invention provides a joint test method, which makes full use of digital simulation means, solves the advantages of key issues of virtual-real integration such as complex scene environment construction and full-factor testing, realizes joint tests in a true sense, and embodies the idea of ​​"four domains, four rings and dual mapping". At the same time, it breaks through key technologies such as time unification, space coordinate transformation, interface adaptation, and component modeling, closely follows the needs of equipment performance inspection and work efficiency assessment, solves difficult problems such as test design, test task environment construction and test implementation driven by demand, and is conducive to the wide application of joint test mode. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The figure is a schematic diagram of the composition of the system of the present invention. DETAILED DESCRIPTION

[0059] In order to better understand the content of the present invention, an embodiment is given here.

[0060] Figure 1 The figure is a schematic diagram of the composition of the system of the present invention.

[0061] The first aspect of the embodiment of the present invention discloses a joint test data processing system, including: a scenario driving subsystem, a test description subsystem, a virtual environment subsystem and a physical resource subsystem;

[0062] The scene driving subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to generate scene space composition information and task flow information according to user instructions;

[0063] The test description subsystem is used to generate test process information according to the task process information;

[0064] The virtual environment subsystem is used to generate a simulation test scene according to the scene space composition information;

[0065] The physical resource subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to drive material resources to perform test in the simulation test scene according to the test process information, obtain a test data set, evaluate the test data set, and obtain a joint test evaluation result.

[0066] The user instruction includes the working scene information of the tested device and the working process information of the tested device;

[0067] The scene driving subsystem generates scene space composition information and task flow information according to user instructions, including:

[0068] The scene driving subsystem extracts the working scene information of the tested device from the user instructions, and generates the scene space composition information according to the working scene information of the tested device; extracts the working process information of the tested device from the user instructions, and generates the task process information according to the working process information of the tested device;

[0069] The test description subsystem generates test process information according to the task process information, including:

[0070] The task process information includes the starting point and end point of the tested device, the parameters to be tested of the tested device, and the interaction between the tested device and the test environment; the test process information includes the target motion trajectory, the acquisition device information, and the motion trajectory of the accompanying test device;

[0071] The test description subsystem performs route planning for the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; determines the acquisition device information according to the parameters to be tested of the test device; and determines the motion trajectory of the accompanying test device according to the interactive relationship between the test device and the test environment;

[0072] The virtual environment subsystem includes a three-dimensional display unit, a collision detection unit, a detail level control unit, a building position and scaling processing unit, and a three-dimensional engine simulation service unit;

[0073] The three-dimensional display unit is connected to the collision detection unit, the detail level control unit, the building position and scaling processing unit, and the three-dimensional engine simulation service unit, respectively, and is used to receive display information of the collision detection unit, the detail level control unit, the building position and scaling processing unit, generate a simulation test scene, and send the simulation test scene to the physical resource subsystem;

[0074] The physical resource subsystem includes a collection device, a virtual simulation platform, and an evaluation device; the virtual simulation platform includes a virtual model of a test device, a virtual model of an accompanying test device, and a simulation server; the simulation server is used to drive the virtual model of the test device and the virtual model of the accompanying test device to move in a simulation test scene according to a set motion trajectory based on test process information; the collection device is used to collect and obtain a test data set during the movement of the virtual model of the test device and the virtual model of the accompanying test device in the simulation test scene based on the collection device information; the evaluation device is used to evaluate and process the test data set to obtain a joint test evaluation result.

[0075] The step of evaluating the test data set to obtain a joint test evaluation result includes:

[0076] A test matrix is ​​constructed using the experimental test data set; a row vector of the test matrix is ​​a sequence composed of sampling values ​​of a type of parameter to be tested at a number of discrete sampling moments;

[0077] Obtaining a reference vector; the reference vector is a sequence consisting of standard values ​​of all types of parameters to be measured;

[0078] The test matrix S and the reference vector r are subjected to an association calculation process to obtain an association matrix V; the calculation expression of the association calculation process is:

[0079]

[0080] Among them, s ki is the element in the kth row and ith column of the test matrix S, m and n are the row and column dimensions of the test matrix S, r k is the kth element of the reference vector r, v ki represents the element in the kth row and ith column of the association matrix, and ρ is the association calculation factor, which can be 0.5.

[0081] Using the first mean calculation model, the correlation matrix V is processed by mean calculation to obtain a mean vector;

[0082] All row vectors of the test matrix S are cross-correlated and calculated to obtain a cross-correlation matrix; the elements in the i-th row and j-th column of the cross-correlation matrix are cross-correlation values ​​between the i-th row element and the j-th row element of the test matrix S.

[0083] Decomposing the cross-correlation matrix to obtain a feature matrix;

[0084] Extracting the diagonal elements of the characteristic matrix as weighted vectors, and using the weighted vectors to perform weighted summation processing on the mean vectors to obtain a joint test evaluation result value;

[0085] The first mean calculation model is:

[0086]

[0087] Among them, a k is the kth element of the mean vector.

[0088] The decomposition process is calculated as follows:

[0089] Y=UAV,

[0090] Among them, U is the left decomposition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and Y is the cross-correlation matrix;

[0091] The decomposition process can be implemented by using a matrix singular value decomposition algorithm.

[0092] The diagonal elements of the feature matrix are extracted to obtain a weighted vector; the weighted vector is represented by I a , I a =[λ1,λ2,…,λ N1 ], N1 is the number of elements contained in the eigenvector;

[0093] The larger the value of the combined test evaluation result is, the closer the tested device is to the ideal value.

[0094] The collection device information includes the equipment participating in the collection, the collection time, the collection parameter type, etc.

[0095] The three-dimensional engine simulation service unit is used to provide a virtual display engine for the three-dimensional display unit, and can be implemented using OpenGL or OpenPL.

[0096] The three-dimensional display unit performs three-dimensional modeling on the scene space composition information to obtain scene data; adds the changed component position information, component movement speed information and component action type information to the scene data to obtain dynamic scene data, performs three-dimensional display on the dynamic scene data, collision detection results, detail enhancement control data and building three-dimensional data to obtain and update the simulation scene; the simulation scene includes scene information, component state information and component action information; the component is a virtual object of a scene element, a test subject or a test companion;

[0097] The collision detection unit is used to perform collision detection on the component information in the dynamic scene data and the three-dimensional building data according to the scene space composition information, obtain a collision detection result, and send the collision detection result to the three-dimensional display unit;

[0098] The detail level control unit is used to perform detail enhancement, occlusion culling, and texture generation processing on the dynamic scene data according to the scene space composition information to obtain detail enhancement control data, and send the detail enhancement control data to the three-dimensional display unit;

[0099] The building position and scaling processing unit is used to generate the three-dimensional coordinates and ground three-dimensional coordinates of the building corresponding to the scene type information in the three-dimensional scene according to the scene space composition information; obtain the corresponding building pixel unit according to the preset scene type information, scale and adjust the building pixel unit to obtain building pixel data and ground pixel data; merge the three-dimensional coordinates of the building in the three-dimensional scene, the three-dimensional ground coordinates, the building pixel data and the ground pixel data to obtain the building three-dimensional data, and send the building three-dimensional data to the three-dimensional display unit; the building three-dimensional data includes the building three-dimensional coordinates, the building pixel data, the ground three-dimensional coordinates and the ground pixel data.

[0100] The scenario driving subsystem, the test description subsystem, the virtual environment subsystem and the physical resource subsystem all run on corresponding servers.

[0101] The interactive relationship between the test device and the test environment includes the time and distance at which the accompanying test device needs to co-appear with the test device during the test; determining the motion trajectory of the accompanying test device according to the target motion trajectory and distance at the co-appearance time;

[0102] The generating of the task flow information according to the workflow information of the device under test is to convert the format of the workflow information of the device under test into the task flow information recognized by the test description subsystem.

[0103] The generating of scene space composition information according to the working scene information of the device under test includes:

[0104] According to the working scene information of the device under test, corresponding scene composition information is selected from the scene model library of the scene driving subsystem, and the scene composition information is used as scene space composition information;

[0105] The values ​​of the working scene information of the tested equipment include grassland scene model, jungle scene model, mountain scene model, desert scene model, city street scene model, island scene model, village scene model, airport scene model, factory scene model, ruins scene model, etc.;

[0106] The scene model library includes display information of all elements contained in each type of scene model; the display information includes size, volume, material, and association with other elements.

[0107] The evaluating and processing the experimental test data set to obtain the joint experiment evaluation result also includes:

[0108] After obtaining the joint test evaluation result value s2 for a period of time, the joint test evaluation result value s2 is subjected to exponential normalization processing using the historical average value s1 of the joint test evaluation result to obtain the final joint test evaluation result Z2; the expression of the exponential normalization processing is:

[0109] Z2=e s2 / s1 ,

[0110] Wherein, s2 represents the joint test evaluation result value over a period of time.

[0111] The joint test method proposed in the present invention specifically describes the design and implementation process of conducting virtual-reality combined mode joint tests using simulation means, constructs a mapping method and collaborative operation mechanism for various resources in the test system, and can provide guidance and support for the system construction of joint test applications, as well as the entire process of joint test design, planning, deployment, implementation, and evaluation.

[0112] Obtain the mission, working scope and working conditions of the equipment under test, and design a work plan, including:

[0113] Obtain the set information of the mission, working scope and working conditions of the equipment under test;

[0114] Use scenario editing tools to generate work simulation scenarios based on the mission, work scope and working conditions of the equipment under test;

[0115] Relying on the working entity simulation model library and simulation platform, the working process of the tested equipment in a typical environment is simulated and the simulated process data is collected; the simulated process data includes timestamp, key event information, tested equipment behavior information, and tested equipment status information;

[0116] Decompose the working actions or processes of the equipment under test into a series of entity activities to describe them and establish a working concept model. The working concept model is a description of the relationships and interactive functions related to the processes, entities, environmental factors, and specific missions, actions, or tasks of the equipment under test in the future working process.

[0117] After the test, extract the work event sequence information (text sequence, sequence of time and behavior events) from the deduction process data (using data acquisition tools to extract key event information and timestamps related to the behavior information and status information of the tested equipment as work event sequence information) to plan the test process in the next stage of test design. Since the work concept model is a simulation of the work scene, the work event sequence is consistent with the order in which the real events occur.

[0118] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A joint test data processing system, characterized in that: include: Scenario driving subsystem, experiment description subsystem, virtual environment subsystem and physical resource subsystem; The scene driving subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to generate scene space composition information and task flow information according to user instructions; The test description subsystem is used to generate test process information according to the task process information; The virtual environment subsystem is used to generate a simulation test scene according to the scene space composition information; The physical resource subsystem is connected to the test description subsystem and the virtual environment subsystem respectively, and is used to drive the virtual model of the test equipment and the virtual model of the accompanying test equipment to perform test tests in the simulation test scene according to the test process information, obtain a test data set, evaluate the test data set, and obtain a joint test evaluation result.

2. A joint test data processing system as claimed in claim 1, characterized in that: The user instruction includes the working scene information of the tested device and the working process information of the tested device; The scene driving subsystem generates scene space composition information and task flow information according to user instructions, including: The scene driving subsystem extracts the working scene information of the device under test from the user instruction, and generates scene space composition information according to the working scene information of the device under test; The workflow information of the device under test is extracted from the user instructions, and the task flow information is generated according to the workflow information of the device under test.

3. A joint test data processing system as claimed in claim 2, characterized in that: The test description subsystem generates test process information according to the task process information, including: The task process information includes the starting point and end point of the tested device, the parameters to be tested of the tested device, and the interaction between the tested device and the test environment; the test process information includes the target motion trajectory, the acquisition device information, and the motion trajectory of the accompanying test device; The test description subsystem plans the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; determines the acquisition device information according to the parameters to be tested of the test device; and determines the motion trajectory of the accompanying test device according to the interactive relationship between the test device and the test environment.

4. A joint test data processing system as claimed in claim 2, characterized in that: The virtual environment subsystem includes a three-dimensional display unit, a collision detection unit, a detail level control unit, a building position and scaling processing unit, and a three-dimensional engine simulation service unit; The three-dimensional display unit is connected to the collision detection unit, detail level control unit, building position and scaling processing unit, and three-dimensional engine simulation service unit respectively, and is used to receive display information of the collision detection unit, detail level control unit, building position and scaling processing unit, generate a simulation test scene; and send the simulation test scene to the physical resource subsystem.

5. A joint test data processing system as claimed in claim 4, characterized in that: The physical resource subsystem includes acquisition equipment, virtual simulation platform, and evaluation equipment; The virtual simulation platform includes a virtual model of the tested device, a virtual model of the accompanying test device, and a simulation server; the simulation server is used to drive the virtual model of the tested device and the virtual model of the accompanying test device to move in the simulation test scene according to the set motion trajectory according to the test process information; The acquisition device is used to acquire the test data set according to the acquisition device information during the movement of the virtual model of the tested device and the virtual model of the accompanying test device in the simulation test scene; The evaluation device is used to perform evaluation processing on the experimental test data set to obtain a joint experiment evaluation result.

6. A joint test data processing system as claimed in claim 5, characterized in that: The step of evaluating the test data set to obtain a joint test evaluation result includes: A test matrix is ​​constructed using the experimental test data set; a row vector of the test matrix is ​​a sequence composed of sampling values ​​of a type of parameter to be tested at a number of discrete sampling moments; Obtaining a reference vector; the reference vector is a sequence consisting of standard values ​​of all types of parameters to be measured; The test matrix S and the reference vector r are subjected to an association calculation process to obtain an association matrix V; the calculation expression of the association calculation process is: Among them, s ki is the element in the kth row and ith column of the test matrix S, m and n are the row and column dimensions of the test matrix S, r k is the kth element of the reference vector r, v ki represents the element in the kth row and ith column of the association matrix, and ρ is the association calculation factor; Using the first mean calculation model, the correlation matrix V is processed by mean calculation to obtain a mean vector; Performing cross-correlation calculation processing on all row vectors of the test matrix S to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​of the i-th row elements and the j-th row elements of the test matrix S; Decomposing the cross-correlation matrix to obtain a feature matrix; The diagonal elements of the characteristic matrix are extracted as weighted vectors, and the weighted vectors are used to perform weighted summation processing on the mean vectors to obtain the joint test evaluation result value.

7. A joint test data processing system as claimed in claim 6, characterized in that: The first mean calculation model is: Among them, a k is the kth element of the mean vector; The decomposition process is calculated as follows: Y=UAV, Among them, U is the left decomposition matrix, A is the feature matrix, V is the right decomposition matrix, U and V are both orthogonal matrices, and Y is the cross-correlation matrix.

8. A method for processing joint test data, characterized in that: The method is implemented by using a joint test data processing system as claimed in any one of claims 1 to 7, comprising: S1, using the scene driving subsystem to generate scene space composition information and task flow information according to user instructions; S2, using the test description subsystem to generate test process information according to the task process information; S3, using the virtual environment subsystem to generate a simulation test scene according to the scene space composition information; S4, using the physical resource subsystem, according to the test process information, driving the virtual model of the tested equipment and the virtual model of the accompanying test equipment to perform test in the simulation test scene, obtaining a test data set, and evaluating the test data set to obtain a joint test evaluation result.

9. The method for processing joint test data according to claim 8, characterized in that: The method of using the test description subsystem to generate test process information according to the task process information includes: The test description subsystem is used to plan the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; the acquisition device information is determined according to the parameters to be tested of the test device; the motion trajectory of the accompanying test device is determined according to the interactive relationship between the test device and the test environment; The method of using the test description subsystem to generate test process information according to the task process information includes: The test description subsystem is used to plan the route of the test device according to the starting point and end point of the test device in the task flow information to obtain the target motion trajectory; the acquisition device information is determined according to the parameters to be tested of the test device; and the motion trajectory of the accompanying test device is determined according to the interactive relationship between the test device and the test environment.

10. The method for processing joint test data according to claim 9, characterized in that: The step of evaluating the test data set to obtain a joint test evaluation result includes: A test matrix is ​​constructed using the experimental test data set; a row vector of the test matrix is ​​a sequence composed of sampling values ​​of a type of parameter to be tested at a number of discrete sampling moments; Obtaining a reference vector; the reference vector is a sequence consisting of standard values ​​of all types of parameters to be measured; The test matrix S and the reference vector r are subjected to an association calculation process to obtain an association matrix V; the calculation expression of the association calculation process is: Among them, s k i is the element of the kth row and ith column of the test matrix S, m and n are the row and column dimensions of the test matrix S, r k is the kth element of the reference vector r, v ki represents the element in the kth row and ith column of the association matrix, and ρ is the association calculation factor; Using the first mean calculation model, the correlation matrix V is processed by mean calculation to obtain a mean vector; Performing cross-correlation calculation processing on all row vectors of the test matrix S to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​of the i-th row elements and the j-th row elements of the test matrix S; Decomposing the cross-correlation matrix to obtain a feature matrix; The diagonal elements of the characteristic matrix are extracted as weighted vectors, and the weighted vectors are used to perform weighted summation processing on the mean vectors to obtain the joint test evaluation result value.

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