A method and system for dynamic simulation verification of radar test points based on MBSE

Abstract

The present application relates to a kind of radar test point dynamic simulation verification method and system based on MBSE, its method includes: constructing MBSE radar system model library and FMEA model package;Determine the analysis object, extract the bottom architecture model of analysis object from MBSE radar system model library, create test point model element;Select the FMEA model related to bottom architecture model in FMEA model package, and fuse FMEA model and test point model element into bottom architecture model;Design test point, and associate FMEA model with test point;Construct fault monitoring interface and fault transition model, make fault monitoring interface and test point through fault transition model Linkage dynamic simulation is carried out to analysis object.The actual position of simulation signal flow flow time test point, the fault type involved and the input and output interface affected, meet the demand of test point verification time in advance, to solve the radar testability and function architecture collaborative simulation verification problem.

Description

Technical Field

[0001] This invention relates to the field of radar test point simulation, and specifically to a dynamic simulation verification method and system for radar test points based on MBSE. Background Technology

[0002] In 2007, the International Council on System Engineering (INCOSE) defined Model Based System Engineering (MBSE) at its international symposium as "the formal application of modeling to support the requirements, design, analysis, verification, and validation activities of a system, beginning in the conceptual design phase and continuing throughout its development and subsequent lifecycle." Given MBSE's significant advantages in the design and development of complex equipment systems, it has been vigorously promoted and developed by weapons and equipment manufacturers worldwide since its inception.

[0003] Currently, the theoretical framework of MBSE (Model-Based Quality Components) is still in the development and maturation stage. Most domestic and international attention is focused on the functional design of complex systems based on MBSE. However, MBSE has significant untapped advantages in addressing general quality characteristics and product functional co-design, and various countries have begun related research and pilot applications in recent years. General quality characteristic design includes seven aspects: reliability, maintainability, testability, safety, supportability, environmental adaptability, and electromagnetic compatibility. Among these, reliability and safety modeling and simulation based on MBSE have been extensively studied. NASA, INCOSE, and NoMagic have published relevant literature, such as model-based fault management methods and the OMG standard integrating safety and reliability analysis into MBSE. However, these publications focus on reliability and safety analysis and design based on MBSE, with few existing published documents addressing testability based on MBSE. Testability plays a crucial role in radar design and production; the layout of test points and the effectiveness of fault monitoring directly affect the radar's operational performance.

[0004] In traditional TES (Test-Oriented Systems Engineering) radar test point design, radar system designers design the radar scheme, while general quality characteristic designers design and analyze the test points. Communication between the two is done through documentation. This separate design of the system scheme and general quality characteristics means that test points are not directly related to the radar functional design; only the location and layout of test points are described in text. The problem is that as documents are updated and the product's functional structure changes, the test points are also constantly modified. This may ultimately lead to inconsistencies between the manufactured radar test points and the original design layout. Re-production requires significant manpower and resources, increasing time and costs. Currently, most radar testability research aims to verify test points as early as possible before product launch. Therefore, co-simulation verification of test points and product functional architecture is a pressing issue that needs to be addressed. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a dynamic simulation verification method and system for radar test points based on MBSE, which can solve the problem of coordinated simulation verification of radar testability and functional architecture.

[0006] The technical solution of this invention to solve the above-mentioned technical problems is as follows: A dynamic simulation verification method for radar test points based on MBSE, comprising the following steps:

[0007] S1. Construct the MBSE radar system model library and build the FMEA model package in the MBSE radar system model library;

[0008] S2, determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library;

[0009] S3, Select the FMEA model related to the underlying architecture model from the FMEA model package, and merge the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model;

[0010] S4, Design test points for monitoring the FMEA model in the underlying architecture fusion model, and associate the FMEA model with the test points;

[0011] S5. Construct a fault monitoring interface for the analysis object based on the test points, construct a fault transition model for the analysis object based on the FMEA model, and use the fault transition model to enable the fault monitoring interface and the test points to perform dynamic simulation of the analysis object in linkage.

[0012] S6, determine whether the result of the dynamic simulation is consistent with the expected result. If not, return to S4 and repeat. If yes, execute S7.

[0013] S7: Extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, return to S4 for loop execution. If the test point indicator verification succeeds, the process ends.

[0014] Based on the above technical solution, the present invention can be further improved as follows.

[0015] Furthermore, in S1, an MBSE radar system model library is constructed in the MagicDraw modeling software environment.

[0016] Furthermore, in S1, the models in the MBSE radar system model library include radar requirement models, functional models, and underlying architecture models.

[0017] Furthermore, in S1, building the FMEA model package in the MBSE radar system model library specifically involves: using a preset modeling method to model all FMEAs in the radar system to form the FMEA model package in the MBSE radar system model library.

[0018] Furthermore, in step S4, associating the FMEA model with the test point specifically involves: associating the FMEA model with the test point using the association relationship defined in the preset modeling method.

[0019] Furthermore, in S5, the specific process of dynamic simulation in which the fault monitoring interface and the test point are linked to the analysis object through the fault transition model is as follows: by constructing a fault signal and controlling the transmission of the fault signal through the UI interface, a fault signal is sent to the fault transition model to simulate the occurrence of the fault, so as to realize the dynamic simulation of the analysis object, and the dynamic relationship between the test point and the fault is displayed in real time in the fault monitoring interface.

[0020] Furthermore, simulating the occurrence of a fault by sending a fault signal to the fault transition model through the UI interface specifically involves sending a fault signal to the fault transition model through the UI interface to trigger a fault event, which in turn triggers the analysis object to jump from a normal state to a fault state.

[0021] Furthermore, a wait signal is added to both the normal state and the fault state.

[0022] Furthermore, in S7, the integrated platform is specifically the TEAMS software.

[0023] Based on the above-mentioned MBSE-based dynamic simulation verification method for radar test points, this invention also provides an MBSE-based dynamic simulation verification system for radar test points.

[0024] A dynamic simulation verification system for radar test points based on MBSE includes the following modules:

[0025] The modeling module is used to build the MBSE radar system model library and to build the FMEA model package in the MBSE radar system model library.

[0026] The analysis object determination module is used to determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library.

[0027] The fusion module is used to select the FMEA model related to the underlying architecture model from the FMEA model package, and fuse the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model;

[0028] The test point design module is used to design test points for monitoring the FMEA model in the underlying architecture fusion model and associate the FMEA model with the test points;

[0029] The dynamic simulation module is used to construct a fault monitoring interface for the analyzed object based on the test points, construct a fault transition model for the analyzed object based on the FMEA model, and enable the fault monitoring interface and the test points to perform dynamic simulation of the analyzed object in conjunction with the fault transition model.

[0030] The simulation result judgment module is used to determine whether the result of the dynamic simulation is consistent with the expected result. If not, it returns to the test point design module; if yes, it jumps to the test point index verification module.

[0031] The test point indicator verification module is used to extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, it returns to the test point design module; if the test point indicator verification succeeds, the process ends.

[0032] The beneficial effects of this invention are as follows: In the dynamic simulation verification method and system for radar test points based on MBSE, when performing MBSE modeling design for a radar system, the analysis object is determined from the MBSE radar system model library. The created test point model elements and the constructed Failure Mode and Effects Analysis (FMEA) model are integrated into the underlying architecture model of the analysis object. By constructing a fault monitoring interface and fault transition model for the analysis object, combined with the constructed fault signal flow, the fault monitoring interface can dynamically display the correlation between the test point and the faulty component. Under the condition of simulated fault signal input, the actual position of the test point, the type of fault involved, and the input / output interfaces affected by the simulated signal flow are realized. This meets the requirement of advancing the test point verification time and solves the problem of collaborative simulation verification of radar testability and functional architecture. Attached Figure Description

[0033] Figure 1 This is a flowchart of a dynamic simulation verification method for radar test points based on MBSE according to the present invention;

[0034] Figure 2 This is a partial schematic diagram of the IBD diagram of the underlying architecture model of the DBF subsystem.

[0035] Figure 3 A schematic diagram of the test point model elements;

[0036] Figure 4 A schematic diagram of the FMEA model for when the P4080 host plug-in cannot receive the master control word;

[0037] Figure 5 This is a schematic diagram of the fault monitoring interface;

[0038] Figure 6 This is a schematic diagram of the UI interface;

[0039] Figure 7 A schematic diagram showing the addition of wait signals to the normal and fault states of the P4080 host plug-in board state machine;

[0040] Figure 8 This is a schematic diagram of the IBD diagram signal flow system in the DBF subsystem;

[0041] Figure 9 This is a structural block diagram of a dynamic simulation verification system for radar test points based on MBSE according to the present invention. Detailed Implementation

[0042] The principles and features of the present invention are described below with reference to the accompanying drawings. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0043] like Figure 1As shown, a dynamic simulation verification method for radar test points based on MBSE includes the following steps:

[0044] S1. Construct the MBSE radar system model library and build the FMEA model package in the MBSE radar system model library;

[0045] S2, determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library;

[0046] S3, Select the FMEA model related to the underlying architecture model from the FMEA model package, and merge the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model;

[0047] S4, Design test points for monitoring the FMEA model in the underlying architecture fusion model, and associate the FMEA model with the test points;

[0048] S5. Construct a fault monitoring interface for the analysis object based on the test points, construct a fault transition model for the analysis object based on the FMEA model, and use the fault transition model to enable the fault monitoring interface and the test points to perform dynamic simulation of the analysis object in linkage.

[0049] S6, determine whether the result of the dynamic simulation is consistent with the expected result. If not, return to S4 and repeat. If yes, execute S7.

[0050] S7: Extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, return to S4 for loop execution. If the test point indicator verification succeeds, the process ends.

[0051] In the current document-based equipment development process, the design of general quality characteristics is often seriously disconnected from functional design. Many experts have tried to solve these problems through various means, but due to the lack of integrated design analysis methods and design platforms for general quality characteristics and functions, equipment designers have to build separate functional models and general quality characteristic models for the system without considering the interaction and influence between the two models, resulting in the problem of the separation between general quality characteristic design and functional structure design.

[0052] Because the MBSE method possesses three key elements—a unified modeling language, modeling methodology, and modeling software—it provides a unified design framework and modeling platform for the collaborative design of general quality characteristics and functional architecture. With the vigorous promotion and pilot applications of MBSE theory, many experts both domestically and internationally have begun to focus on exploring model-based design of general quality characteristics. Currently, most published literature combines MBSE with reliability and safety in general quality characteristics, with few application cases combining testability with MBSE. Simulation of collaborative design between testability and functional architecture is a crucial problem urgently needing to be solved in the field of testability, and current equipment design methods lack a satisfactory solution. This invention uses MBSE as its design concept. Under a unified modeling framework, it utilizes the SysML modeling language to create test point types and FMEA model packages. Combined with the testability index verification function of TEAMS software, by designing test point locations, constructing fault state transition models, building test point simulation interfaces, and iteratively verifying test point indices, the linkage between test points and faulty components can be clearly seen. This achieves dynamic simulation of the actual working conditions of test points, fulfilling the purpose of testability index verification, and laying a solid foundation for model-based integrated simulation verification of testability and system function collaboration. TEAMS software is an integrated platform specifically developed for testing, fault diagnosis, and maintenance of complex systems.

[0053] The difference between this invention and existing test point simulation technologies lies in the fact that current testability simulation verification methods primarily rely on specialized testability modeling software, such as TEAMS, for modeling and analysis. This software typically constructs a visual signal flow model for each system module requiring analysis, enabling test point design and simulation. However, these signal flow models are logic layer models, not physical layer models. This approach creates a localized model detached from the overall system framework. Testability-related requirements and FMEA analysis cannot be directly integrated into this localized model, resulting in a lack of linkage and consistency with the overall system architecture design. This can lead to discrepancies between test point requirements and the design, and may also result in inaccurate test point placement after module architecture changes. This invention can directly extract the underlying model architecture of the analysis object from the MBSE radar system model library, and design and dynamically simulate test points on it. At the same time, it can also directly associate system testability requirements and FMEA models from the MBSE radar system model library, realizing the purpose of collaborative design of MBSE test points and system functional architecture. In addition, considering that the MBSE modeling software lacks the function of verifying testability indicators, the signal flow of the test points and underlying architecture model that meet the expectations is extracted and imported into TEAMS software for testability indicator verification. If the indicators do not meet the requirements, the test point design and simulation are re-performed in the MBSE modeling software until the testability indicators meet the requirements.

[0054] The simulation modeling process of this invention is carried out in the MBSE modeling software MagicDraw environment. In this embodiment, the digital beamforming (DBF) subsystem of the radar system is selected as the analysis object. Test points are designed for the P4080 host module within the DBF subsystem. Taking the simulated fault of the P4080 host module failing to receive the main control word as an example, the simulation process of test point design is explained. The specific implementation process is as follows:

[0055] (1): In the MagicDraw modeling software environment, the MBSE radar system model library was built. The model library includes radar requirement model, functional model and underlying architecture model.

[0056] (2): Use a pre-defined modeling method to model all FMEA (Failure Mode and Effects Analysis) of the radar system to form an FMEA model package of the radar system in the MBSE radar system model library; wherein the pre-defined modeling method is described in the document "OMGs standard for integrating safety and reliability analysis into MBSE: Concepts and applications".

[0057] (3): The analysis object is determined to be the DBF subsystem. The underlying architecture model of the DBF subsystem is extracted from the MBSE radar system model library. Specifically, the internal module diagram (IBD) of the underlying architecture model of the DBF subsystem is extracted. Based on this IBD diagram, the test points of the DBF subsystem are designed and simulated. A partial IBD diagram of the underlying architecture model of the DBF subsystem is shown below. Figure 2 As shown.

[0058] (4): Create test point model elements in the MBSE radar system model library; test point model elements are as follows: Figure 3 As shown.

[0059] (5): Locate the FMEA models in the FMEA model package that the P4080 host plugin cannot receive master control words. Examples of FMEA models that the P4080 host plugin cannot receive master control words include... Figure 4 As shown, this FMEA model and test point model elements are placed into the corresponding P4080 host plug-in model elements in the IBD diagram.

[0060] (6): For the FMEA design test point 1 where the P4080 host plug-in cannot receive the main control word signal, the FMEA item is associated with the main control word input port of the P4080 host plug-in using the association relationship defined in the preset modeling method.

[0061] (7): Build the fault monitoring interface of the DBF subsystem. The fault monitoring interface is as follows: Figure 5 As shown, the circles are in two colors: red and green. Green indicates that the circuit board is normal, and red indicates that the circuit board is faulty.

[0062] (8): To enable the fault monitoring interface and the designed test point 1 to be linked in the simulation, a state machine (i.e., a fault transition model) is first constructed to transition the P4080 host board from normal to fault state. The transition event from normal operation to fault state is triggered by the event that the P4080 host board cannot receive the main control word. When this event does not occur, i.e., when the P4080 host board is in normal operation, the main control word signal flow directly passes through the P4080 host board to the next board. To simulate the occurrence of the fault that the P4080 host board cannot receive the main control word, a UI interface for sending fault signals and controlling fault signal transmission is constructed. The UI interface is as follows: Figure 6 As shown; and a wait signal is added to the fault state of the P4080 host board state machine, such as Figure 7 As shown. When the "Main Control Word Signal Reception Abnormal" button on the UI is pressed, a fault signal is sent, triggering a fault event. The P4080 host module's state machine transitions from the normal state to the fault state, and from the fault state to the "Waiting for Signal" state, it transitions to the "Main Control Word Reception Abnormal" state. However, considering that when this button is not pressed, the fault is assumed not to have occurred, and the main control word signal flow will smoothly flow from the P4080 host module to the next board, a waiting signal is added to the normal state of the P4080 host board's state machine to achieve this function, as shown below. Figure 7 As shown.

[0063] (9): To ensure that all test points and related boards of the DBF subsystem design are displayed on the same fault monitoring interface, a system is constructed as follows: Figure 5 The fault monitoring interface is shown. When the button for test point 1 in the fault monitoring interface is pressed, the simulation of the IBD diagram signal flow system in the DBF subsystem begins, and the IBD diagram signal flow system in the DBF subsystem is as follows: Figure 8 As shown, when the main control word signal is sent from the P4080 host IO plug-in to the P4080 host plug-in, the P4080 host plug-in receives the main control word from port P4. Due to the simulated fault occurrence, the P4080 host plug-in cannot receive the main control word, and the P4080 host plug-in jumps from the normal state to the fault state. In the fault monitoring interface, the circle corresponding to the P4080 host plug-in changes from green to red, indicating that the P4080 host plug-in has failed. Test point 1 detected the corresponding fault.

[0064] (10): After all test points in the DBF subsystem IBD diagram are designed, and the system fault simulation results meet expectations, extract the test point information and signal flow information in the IBD diagram and import them into TEAMS software for testability index verification simulation. If the testability index does not meet the product input index requirements, return to redesign the test points. Iterate back and forth until the designed test points meet the testability index requirements.

[0065] Based on the above-mentioned MBSE-based dynamic simulation verification method for radar test points, this invention also provides an MBSE-based dynamic simulation verification system for radar test points.

[0066] like Figure 9 As shown, a dynamic simulation verification system for radar test points based on MBSE includes the following modules:

[0067] The modeling module is used to build the MBSE radar system model library and to build the FMEA model package in the MBSE radar system model library.

[0068] The analysis object determination module is used to determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library.

[0069] The fusion module is used to select the FMEA model related to the underlying architecture model from the FMEA model package, and fuse the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model;

[0070] The test point design module is used to design test points for monitoring the FMEA model in the underlying architecture fusion model and associate the FMEA model with the test points;

[0071] The dynamic simulation module is used to construct a fault monitoring interface for the analyzed object based on the test points, construct a fault transition model for the analyzed object based on the FMEA model, and enable the fault monitoring interface and the test points to perform dynamic simulation of the analyzed object in conjunction with the fault transition model.

[0072] The simulation result judgment module is used to determine whether the result of the dynamic simulation is consistent with the expected result. If not, it returns to the test point design module; if yes, it jumps to the test point index verification module.

[0073] The test point indicator verification module is used to extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, it returns to the test point design module; if the test point indicator verification succeeds, the process ends.

[0074] The specific functions of each module in the MBSE-based dynamic simulation verification system for radar test points of this invention are described in the specific steps of the MBSE-based dynamic simulation verification method for radar test points of this invention, and will not be repeated here.

[0075] In the present invention, a dynamic simulation verification method and system for radar test points based on MBSE, when performing MBSE modeling design for a radar system, the analysis object is determined from the MBSE radar system model library. The created test point model elements and the constructed Failure Mode and Effects Analysis (FMEA) model are integrated into the underlying architecture model of the analysis object. By constructing a fault monitoring interface and a fault transition model for the analysis object, combined with the constructed fault signal flow, the fault monitoring interface can dynamically display the correlation between the test point and the faulty component. Under the condition of simulated fault signal input, the actual position of the test point, the type of fault involved, and the input / output interfaces affected by the simulated signal flow are realized. This meets the requirement of advancing the test point verification time and solves the problem of collaborative simulation verification of radar testability and functional architecture.

[0076] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A dynamic simulation verification method for radar test points based on MBSE, characterized in that... This includes the following steps: S1. Construct the MBSE radar system model library and build the FMEA model package in the MBSE radar system model library; S2, determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library; S3, Select the FMEA model related to the underlying architecture model from the FMEA model package, and merge the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model; S4, Design test points for monitoring the FMEA model in the underlying architecture fusion model, and associate the FMEA model with the test points; S5. Construct a fault monitoring interface for the analysis object based on the test points, construct a fault transition model for the analysis object based on the FMEA model, and use the fault transition model to enable the fault monitoring interface and the test points to perform dynamic simulation of the analysis object in linkage. S6, determine whether the result of the dynamic simulation is consistent with the expected result. If not, return to S4 and repeat. If yes, execute S7. S7: Extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, return to S4 for loop execution. If the test point indicator verification succeeds, the process ends.

2. The dynamic simulation verification method for radar test points based on MBSE according to claim 1, characterized in that, In step S1, an MBSE radar system model library is constructed using the MagicDraw modeling software environment.

3. The dynamic simulation verification method for radar test points based on MBSE according to claim 1, characterized in that, In S1, the models in the MBSE radar system model library include radar requirement models, functional models, and underlying architecture models.

4. The dynamic simulation verification method for radar test points based on MBSE according to claim 1, characterized in that, In step S1, building the FMEA model package in the MBSE radar system model library specifically involves: using a preset modeling method to model all FMEAs in the radar system to form the FMEA model package in the MBSE radar system model library.

5. The dynamic simulation verification method for radar test points based on MBSE according to claim 4, characterized in that, In step S4, associating the FMEA model with the test point specifically involves: associating the FMEA model with the test point using the association relationship defined in the preset modeling method.

6. The dynamic simulation verification method for radar test points based on MBSE according to claim 1, characterized in that, In S5, the specific process of dynamic simulation that links the fault monitoring interface and the test point to the analysis object through the fault transition model is as follows: by constructing a fault signal and controlling the transmission of the fault signal through the UI interface, the fault signal is sent to the fault transition model to simulate the occurrence of the fault, so as to realize the dynamic simulation of the analysis object, and the dynamic relationship between the test point and the fault is displayed in real time in the fault monitoring interface.

7. The dynamic simulation verification method for radar test points based on MBSE according to claim 6, characterized in that, Specifically, simulating the occurrence of a fault by sending a fault signal to the fault transition model through the UI interface involves sending a fault signal to the fault transition model through the UI interface to trigger a fault event, which in turn triggers the analysis object to jump from a normal state to a fault state.

8. The dynamic simulation verification method for radar test points based on MBSE according to claim 7, characterized in that, A wait signal is added to both the normal state and the fault state.

9. The dynamic simulation verification method for radar test points based on MBSE according to claim 1, characterized in that, In S7, the integrated platform is specifically the TEAMS software.

10. A dynamic simulation verification system for radar test points based on MBSE, characterized in that, Includes the following modules: The modeling module is used to build the MBSE radar system model library and to build the FMEA model package in the MBSE radar system model library. The analysis object determination module is used to determine the analysis object, extract the underlying architecture model of the analysis object from the MBSE radar system model library, and create test point model elements for the analysis object in the MBSE radar system model library. The fusion module is used to select the FMEA model related to the underlying architecture model from the FMEA model package, and fuse the FMEA model and the test point model elements into the underlying architecture model to obtain the underlying architecture fusion model; The test point design module is used to design test points for monitoring the FMEA model in the underlying architecture fusion model and associate the FMEA model with the test points; The dynamic simulation module is used to construct a fault monitoring interface for the analyzed object based on the test points, construct a fault transition model for the analyzed object based on the FMEA model, and enable the fault monitoring interface and the test points to perform dynamic simulation of the analyzed object in conjunction with the fault transition model. The simulation result judgment module is used to determine whether the result of the dynamic simulation is consistent with the expected result. If not, it returns to the test point design module; if yes, it jumps to the test point index verification module. The test point indicator verification module is used to extract signal flow information and designed test points from the underlying architecture fusion model and import them into the integration platform for test point indicator verification. If the test point indicator verification fails, it returns to the test point design module; if the test point indicator verification succeeds, the process ends.

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