An equipment function and general quality characteristic fusion modeling method

By constructing functional and physical architecture models, generating system fault trees and fault-test point correlation models, the data consistency problem of functional and general quality characteristic modeling is solved, the efficiency of safety and reliability modeling of complex equipment is improved, and rapid model iteration and data reuse are realized.

CN121211202BActive Publication Date: 2026-02-27XIAN AIRCRAFT DESIGN INST OF AVIATION IND OF CHINA
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Patent Information

Application Number
CN202511756611.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-27
Publication Date
2026-02-27
Estimated Expiration
2045-11-27

AI Technical Summary

Technical Problem

The existing functional performance modeling methods lack effective integration with the model data of general quality characteristic modeling methods such as safety, reliability and testability, which makes it difficult to reuse model information in the design of complex equipment, slow design iteration, and difficult to control the consistency of technical status, making it difficult to meet the requirements of innovative research and development and quality assurance.

Method used

By constructing a functional architecture model of the equipment, identifying functional failure modes and severity levels, establishing a physical architecture model and a system fault tree model, determining the failure modes of physical units and the mapping relationship between input and output signals, defining test points, generating a fault-test point correlation model, and achieving data homogeneity and business synchronization between functional and general quality characteristic models.

Benefits of technology

It significantly improves the safety, reliability, and testability modeling efficiency of equipment systems, enhances fault identification capabilities, solves the problems of model data reuse and technical status consistency, and meets the needs of innovative R&D and quality assurance for complex equipment.

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Abstract

The application belongs to the technical field of equipment system fault modeling, and particularly relates to a kind of equipment function and general quality characteristic fusion modeling method.The method comprises the following steps: step S1, the function architecture model of equipment is constructed, and each function failure mode in the function architecture model and the severity level corresponding to each function failure mode are identified;Step S2, a physical architecture model is established, and a system fault tree model is generated according to the mapping relationship between the function architecture model and the physical architecture model;Step S3, according to the physical architecture model and the system fault tree model, the physical failure mode set of each physical unit is determined, and the mapping relationship between each physical failure mode and the input and output signals of the physical unit is determined;Step S4, the test points associated with the input and output signals of each physical unit are defined in the physical architecture model, and a fault-test point correlation model is generated.The application can greatly improve the efficiency of equipment system safety, reliability and testability modeling.
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Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of equipment system fault modeling, and particularly relates to a kind of equipment function and general quality characteristic fusion modeling method. BACKGROUND

[0002] At present, model-based design method is widely used in complex equipment design. However, the model data of the existing function performance modeling method and the general quality characteristic modeling method such as safety, reliability and testability lacks effective fusion, which leads to different sources of data models of complex equipment function design and general quality characteristic design, difficult reuse of model information, slow design iteration, and difficulty in controlling the consistency of the technical state of the function model and the general quality characteristic model, which is difficult to meet the requirements of complex equipment innovation and development and quality assurance. SUMMARY

[0003] In order to solve the above problems, the application provides an equipment function and general quality characteristic fusion modeling method, which starts from the goal of complex equipment function and quality characteristic fusion design, solves the data consistency and model reuse problem of function architecture, physical architecture and other models and general quality characteristic safety, reliability, testability and other models, and ensures the data homology and business synchronization of function modeling and general quality characteristic modeling.

[0004] The equipment function and general quality characteristic fusion modeling method of the application mainly includes:

[0005] Step S1, constructing a function architecture model of the equipment, and identifying each function failure mode in the function architecture model and the severity level corresponding to each function failure mode;

[0006] Step S2, establishing a physical architecture model based on the function architecture model, and generating a system fault tree model according to the mapping relationship between the function architecture model and the physical architecture model;

[0007] Step S3, determining a physical fault mode set of each physical unit in the physical architecture model and the mapping relationship between each physical fault mode and the input and output signals of the physical unit according to the physical architecture model and the system fault tree model;

[0008] Step S4, defining test points associated with the input and output signals of each physical unit in the physical architecture model, and generating a fault-test point correlation model according to the mapping relationship between each physical fault mode and the input and output signals of the physical unit.

[0009] Preferably, step S1 further includes:

[0010] Step S11, constructing a system operation scenario model of the equipment, the system operation scenario model including a plurality of operation scenarios, each operation scenario including a plurality of active nodes;

[0011] Step S12, given the reference function architecture model, determine the end-level function corresponding to each active node in the system operation scenario model, when there is an unmapped active node not corresponding to any end-level function, add a support function item corresponding to the unmapped active node on the reference function architecture model, until all active nodes have corresponding end-level functions, forming the final function architecture model;

[0012] Step S13, according to the correspondence between the end-level function and the active node, and the influence of the activity anomaly of each active node, determine the function failure mode of each end-level function, and the influence of each function failure mode on the safety and task completion of the equipment system, to determine the severity level of each function failure mode.

[0013] Preferably, in step S11, the SYSML activity diagram modeling method is used to construct the system operation scenario model of the equipment.

[0014] Preferably, step S2 further comprises:

[0015] Step S21, according to the unique allocation principle, allocate the end-level function in the function architecture model to the physical unit in the initially constructed reference physical architecture model, to generate a final physical architecture model in which all end-level functions have corresponding physical units;

[0016] Step S22, according to the function failure mode of the end-level function, obtain the physical failure mode of the corresponding physical unit;

[0017] Step S23, determine the fault logic model of each physical unit;

[0018] Step S24, according to the input-output interface relationship between each physical unit in the physical architecture model, generate a system fault tree model containing all failure modes and their fault propagation paths.

[0019] Preferably, in step S21, if the end-level function in the function architecture model does not satisfy the unique allocation principle, the end-level function is refined and decomposed, and the multiple new end-level functions formed after the refinement and decomposition are allocated to the physical units according to the unique allocation principle.

[0020] Preferably, in step S22, obtaining the physical failure mode of the corresponding physical unit comprises:

[0021] determining the physical failure mode of the physical unit implementing the end-level function; and determining the physical failure mode of the physical unit maintaining the end-level function.

[0022] Preferably, step S24 further comprises:

[0023] For each physical unit, the lateral propagation path of each physical fault mode is determined based on the input-output relationship between the physical unit and other physical units at the same level in the physical architecture model; at the same time, the vertical propagation path of each physical fault mode is determined based on the input-output relationship between the physical unit and physical units at adjacent levels in the physical architecture model.

[0024] A system fault tree model is constructed based on the lateral and vertical propagation paths of each physical fault mode.

[0025] Preferably, step S4 further includes:

[0026] Step S41: According to the system testability scheme, define test points on the connector pins that are directly connected to the physical devices corresponding to each physical unit in the physical architecture model, and determine the mapping relationship between the test points and the input and output signals of the physical unit.

[0027] Step S42: Determine the mapping relationship between each physical fault mode and the input / output signals of the physical unit;

[0028] Step S43: Combine the various physical fault modes of the physical units to generate a fault-test point correlation model.

[0029] This application can enhance fault identification capabilities based on equipment functions and scenarios, and significantly improve the efficiency of equipment system safety, reliability and testability modeling. Attached Figure Description

[0030] Figure 1 This is a flowchart of a preferred embodiment of the equipment function and general quality characteristic fusion modeling method of this application.

[0031] Figure 2 This application Figure 1 The functional architecture model and operation scenario mapping diagram of the embodiment shown are illustrated.

[0032] Figure 3 This application Figure 1 The illustrated embodiment is a schematic diagram of the mapping between the functional architecture model and the physical architecture model. Detailed Implementation

[0033] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described in a more detailed manner in the following with reference to the drawings in the embodiments of the present application. The same or similar notations represent the same or similar elements or elements with the same or similar functions throughout the drawings. The described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the scope of protection of the present application. The embodiments of the present application will be described in detail below with reference to the drawings.

[0034] The present application provides an equipment function and general quality characteristic fusion modeling method, as shown in the formula (I), mainly comprising: Figure 1

[0035] Step S1, a function architecture model of the equipment is constructed, and each function failure mode in the function architecture model and a severity level corresponding to each function failure mode are identified;

[0036] Step S2, a physical architecture model is established based on the function architecture model, and a system fault tree model is generated according to a mapping relationship between the function architecture model and the physical architecture model;

[0037] Step S3, a physical fault mode set of each physical unit in the physical architecture model and a mapping relationship between each physical fault mode and an input and output signal of the physical unit are determined according to the physical architecture model and the system fault tree model;

[0038] Step S4, a test point associated with an input and output signal of each physical unit is defined in the physical architecture model, and a fault-test point correlation model is generated according to the mapping relationship between each physical fault mode and the input and output signal of the physical unit.

[0039] In step S1 of the present application, the function architecture model and the system scenario analysis model information are reused to quickly generate equipment function failure and impact analysis, in step S2, the physical architecture model information is reused to automatically generate a system fault tree model, finally, in step S3 and step S4, the physical architecture model and the system fault tree model information are reused to quickly generate a physical fault mode and a fault-test point correlation model, which connects the data flow between the function design model and the general quality characteristic model such as safety, reliability and testability, and completely solves the problem of inconsistent technical state between the function model and the general quality characteristic model in the traditional method.

[0040] In some optional embodiments, step S1 further comprises:

[0041] ​Step S11, a system operation scenario model of the equipment is constructed, the system operation scenario model comprising a plurality of operation scenarios, each operation scenario comprising a plurality of active nodes;

[0042] Step S12, given a reference function architecture model, a final function architecture model is formed by determining a last-level function corresponding to each active node in the system operation scenario model in the reference function architecture model, and adding a function item corresponding to an unmapped active node to the reference function architecture model when there is an unmapped active node that does not correspond to any last-level function, until all active nodes have corresponding last-level functions.

[0043] Step S13, according to the correspondence between the last-level function and the active node, and the influence of the active anomaly of each active node, the function failure mode of each last-level function is determined, and the influence of each function failure mode on the safety and task completion of the equipment system is determined to determine the severity level of each function failure mode.

[0044] This embodiment mainly carries out "activity-function" mapping analysis of the equipment system, as shown in Figure 2 The activities and their input and output information in the system operation scenario model are mapped to the last-level functions in the reference function architecture model one by one, if there is a related function in the reference function architecture model that can support the running of the activity, the function architecture model remains unchanged, if the function in the reference function architecture model cannot support the running of the activity, a related function item or input and output interface that supports the running of the activity is added to the reference function architecture model, and the mapping analysis of all activities in the system operation scenario model is completed in turn, thereby forming a final function architecture model.

[0045] In step S13, for the last-level function item in the improved function architecture model, function failure mode identification and failure influence analysis are carried out one by one. Specifically, for each last-level function item, the last-level function item is integrated into the system operation scenario in combination with the normal and abnormal states of the related activities in the system operation scenario model, and the influence of the function failure on the system safety and task is analyzed in combination with the SYSML activity diagram and state machine model in the system operation scenario model, the severity level of the failure mode is determined, and the safety design requirement of each type of function failure mode is given according to the severity level of the function failure and the classification requirement of safety in the airworthiness clause.

[0046] In some optional embodiments, in step S11, the SYSML activity diagram modeling method is used to construct the system operation scenario model of the equipment.

[0047] In some optional embodiments, step S2 further comprises:

[0048] Step S21, according to the unique allocation principle, the end-level function in the function architecture model is allocated to the physical unit in the initially constructed reference physical architecture model, and a final physical architecture model in which all end-level functions have corresponding physical units is generated;

[0049] Step S22, the physical failure mode of the corresponding physical unit is obtained according to the function failure mode of the end-level function;

[0050] Step S23, the failure logic model of each physical unit is determined;

[0051] Step S24, according to the input-output interface relationship between the physical units in the physical architecture model, a system fault tree model containing all failure modes and failure propagation paths is generated.

[0052] The embodiment gives a specific construction method of the system fault tree model. First, according to similar equipment schemes and historical failure conditions, a reference physical architecture model and a typical failure database of the corresponding physical units are established, as shown in Figure 3 In step S21, according to the unique allocation principle, the end-level function unit in the function architecture model is allocated to the reference physical architecture unit, and the function architecture interface relationship is converted into the physical architecture interface relationship. In some optional embodiments, in step S21, if the end-level function in the function architecture model does not satisfy the unique allocation principle, the end-level function is refined and decomposed, and the multiple new end-level functions formed after the refinement and decomposition are allocated to the physical units according to the unique allocation principle.

[0053] Then, in step S22, according to the allocation relationship between the function units and the physical units, on the basis of the above function failure mode identification, the physical failure mode causing the function failure is further analyzed. In some optional embodiments, in step S22, obtaining the physical failure mode of the corresponding physical unit includes: determining the physical failure mode of the physical unit implementing the end-level function; and determining the physical failure mode of the physical unit maintaining the end-level function.

[0054] In this embodiment, the process of obtaining the physical failure mode of the corresponding physical unit according to the function failure mode not only analyzes the failure mode of the physical unit related to the implementation of the function, but also analyzes the failure mode of the physical unit related to the maintenance of the function, to ensure the integrity of the physical unit failure mode. Among them, for the failure mode identification of the physical unit related to the implementation of the function, the failure mode in the failure database that affects the success or failure of the function output can be analyzed; for the failure mode identification of the physical unit related to the maintenance of the function, the failure mode in the failure database that affects the continuity and stability of the function output can be analyzed.

[0055] Afterwards, in step S23, after the physical failure mode identification of each end-stage physical unit in the physical architecture model is completed, the failure logic model of each end-stage physical unit is determined one by one. For each end-stage physical unit in the physical architecture model, each physical failure mode of the physical unit is taken as a top event, all external input signals and internal faults of the physical unit are taken as bottom events, and the failure logic model of the physical unit is established. The construction of the failure logic model of all end-stage physical units in the physical architecture is completed in turn.

[0056] Finally, in step S24, the system fault tree model is constructed. Here, the model containing all physical failure modes and their failure propagation paths is generated according to the input-output interface relationship between each physical unit in the physical architecture model.

[0057] In some optional embodiments, step S24 further includes:

[0058] For each physical unit, the horizontal propagation path of each physical failure mode is determined according to the input-output relationship of the physical unit with other physical units at the same level in the physical architecture model; and the vertical propagation path of each physical failure mode is determined according to the input-output relationship of the physical unit with physical units at adjacent levels in the physical architecture model.

[0059] The system fault tree model is constructed according to the horizontal propagation path and the vertical propagation path of each physical failure mode.

[0060] In an alternative embodiment, the horizontal propagation path and the vertical propagation path of the failure are integrated, the failure modes with the severity level of the first two levels (catastrophic, dangerous) in the functional failure impact analysis are selected as top events, and the fault tree model of the corresponding physical failure is dynamically generated.

[0061] Afterwards, in step S3, the mapping relationship between each physical failure mode and the input-output signals of the physical unit is determined, as shown in the rightmost failure mode Y. Figure 3 The rightmost failure mode Y is associated with multiple input signals or associated with an internal fault signal.

[0062] Specifically, for each level of physical unit in the physical architecture model, the analysis results of functional failure modes and physical failure modes are integrated to determine the final physical failure mode set of each physical unit, which includes establishing the causal relationship between the failure modes of the upper and lower physical units in the physical architecture model according to the parent-child relationship of the upper and lower physical units, combining the failure vertical propagation path, and establishing the causal relationship between the failure modes of the physical units in the same level according to the input-output relationship between the physical units in the same level in the physical architecture model, combining the failure horizontal propagation path. Then, based on the physical architecture model and the failure set of the physical units, the causal relationship between the physical failure modes of the upper and lower physical units and the physical failure modes of the physical units in the same level is integrated to obtain the failure mode and impact analysis model of each physical unit of the entire equipment system.

[0063] Finally, in step S4, a fault-test point correlation model is constructed.

[0064] In some optional embodiments, step S4 further includes:

[0065] Step S41, according to the system testability scheme, defining test points directly on the connector pins connected to each physical unit in the physical architecture model, determining the mapping relationship between the test points and the input-output signals of the physical units;

[0066] Step S42, according to the mapping relationship between each physical failure mode and the input-output signals of the physical units, determining the mapping relationship between each physical failure mode and the test points;

[0067] Step S43, integrating each physical failure mode of the physical units to generate a fault-test point correlation model.

[0068] In this embodiment, first in step S41, test points are defined directly on the pins of the physical device connector in the physical architecture model, for each physical device in the physical architecture, the physical device interface relationship model is reused, the number and type of signals on each physical device interface are refined, the physical device interface relationship is refined into physical device signal cross-linking relationship, for example, a 220V three-phase alternating current physical interface is refined into three signal cross-linking relationships of A phase, B phase and C phase, the connector selection definition of the physical device signal is carried out, each physical device signal is mapped to the pin of the physical device connector, and the system automatically generates the mapping relationship between the test points and the input-output signals of each physical unit in the physical architecture model according to the mapping relationship between the connector pins and the test points.

[0069] Afterwards, in step S42, since the mapping relationship between each physical fault mode and the input and output signal of the physical unit is determined in step S3, the mapping relationship between each physical fault mode and the test point can be determined. Finally, in step S43, all physical fault modes are integrated, and thus a fault-test point correlation model can be finally generated, which is used to support the analysis of fault detection rate and isolation rate.

[0070] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for integrating equipment functions and general quality characteristics into a model, characterized in that, include: Step S1: Construct a functional architecture model of the equipment and identify the failure modes of each function in the functional architecture model and the severity level corresponding to each failure mode. Step S2: Based on the functional architecture model, establish the physical architecture model, and generate a system fault tree model according to the mapping relationship between the functional architecture model and the physical architecture model; Step S3: Based on the physical architecture model and the system fault tree model, determine the set of physical fault modes for each physical unit in the physical architecture model, and the mapping relationship between each physical fault mode and the input and output signals of the physical unit. Step S4: Define test points associated with the input and output signals of each physical unit in the physical architecture model, and generate a fault-test point correlation model based on the mapping relationship between each physical fault mode and the input and output signals of the physical unit.

2. The equipment function and general quality characteristic fusion modeling method as described in claim 1, characterized in that, Step S1 further includes: Step S11: Construct a system operation scenario model for the equipment. The system operation scenario model includes multiple operation scenarios, and each operation scenario includes multiple activity nodes. Step S12: Given a reference functional architecture model, determine the final-level function corresponding to each active node in the system operation scenario model in the reference functional architecture model. When there is an unmapped active node that does not correspond to any final-level function, add a function item to support the unmapped active node in the reference functional architecture model until all active nodes have corresponding final-level functions, thus forming the final functional architecture model. Step S13: Based on the correspondence between the final-level functions and the activity nodes, and the impact of abnormal activities of each activity node, determine the failure modes of each final-level function, and the impact of each failure mode on the safety and mission completion of the equipment system, so as to determine the severity level of each failure mode.

3. The equipment function and general quality characteristic fusion modeling method as described in claim 2, characterized in that, In step S11, the SYSML activity graph modeling method is used to construct the system operation scenario model of the equipment.

4. The equipment function and general quality characteristic fusion modeling method as described in claim 1, characterized in that, Step S2 further includes: Step S21: According to the unique allocation principle, the final functions in the functional architecture model are allocated to the physical units in the initially constructed reference physical architecture model to generate the final physical architecture model in which all final functions have corresponding physical units. Step S22: Obtain the physical fault mode of the corresponding physical unit based on the functional failure mode of the final-level function; Step S23: Determine the fault logic model for each physical unit; Step S24: Based on the input-output interface relationships between physical units in the physical architecture model, generate a system fault tree model containing all fault modes and their fault propagation paths.

5. The equipment function and general quality characteristic fusion modeling method as described in claim 4, characterized in that, In step S21, if the final-level function in the functional architecture model does not meet the unique allocation principle, the final-level function is further decomposed, and the multiple new final-level functions formed after the decomposition are allocated to physical units according to the unique allocation principle.

6. The equipment function and general quality characteristic fusion modeling method as described in claim 4, characterized in that, In step S22, the physical fault modes of the corresponding physical unit are obtained, including: Determine the physical failure mode of the physical unit that implements the final-level function; and determine the physical failure mode of the physical unit that maintains the final-level function.

7. The equipment function and general quality characteristic fusion modeling method as described in claim 4, characterized in that, Step S24 further includes: For each physical unit, the lateral propagation path of each physical fault mode is determined based on the input-output relationship between the physical unit and other physical units at the same level in the physical architecture model; at the same time, the vertical propagation path of each physical fault mode is determined based on the input-output relationship between the physical unit and physical units at adjacent levels in the physical architecture model. A system fault tree model is constructed based on the lateral and vertical propagation paths of each physical fault mode.

8. The method for fusing equipment functions and general quality characteristics as described in claim 1, characterized in that, Step S4 further includes: Step S41: According to the system testability scheme, define test points on the connector pins that are directly connected to the physical devices corresponding to each physical unit in the physical architecture model, and determine the mapping relationship between the test points and the input and output signals of the physical unit. Step S42: Determine the mapping relationship between each physical fault mode and the input / output signals of the physical unit; Step S43: Combine the various physical fault modes of the physical units to generate a fault-test point correlation model.

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