Workflow-based FMEA analysis method, equipment and media for fiber optic gyroscopes

Abstract

The present invention relates to the technical field of failure mode and effects analysis, and more specifically, to a workflow-based FMEA analysis method, device, and medium for fiber optic gyroscopes. The method comprises obtaining all functional modules, determining all operating states of each functional module, and constructing a first interaction matrix based on the functional modules and operating states; determining the workflow of the fiber optic gyroscope; constructing a second interaction matrix based on the workflow of the fiber optic gyroscope and the first interaction matrix, wherein the second interaction matrix includes all operating states of the functional modules involved in each workflow of the fiber optic gyroscope; determining the failure mode, and constructing a third interaction matrix based on the failure mode, the second interaction matrix, and preset input items; and performing a workflow-based FMEA analysis on the fiber optic gyroscope based on the third interaction matrix to obtain analysis results. This solves the problem that existing technologies cannot reflect failure issues in fiber optic gyroscope system control and software processing.

Description

Technical Field

[0001] The present invention relates to the technical field of failure mode and effect analysis, and in particular to a workflow-based fiber optic gyroscope FMEA analysis method, device and medium. Background Art

[0002] Fiber-optic gyroscopes (FOGs) are angular velocity measurement devices that combine multiple technologies and components, including optical paths, circuits, software, and structures. Their design, development, production, and application encompass knowledge from diverse disciplines, including optics, mechanics, electronics, control, software, and materials. Consequently, they exhibit diverse failure modes and impact mechanisms. However, traditional approaches based on device-level and physical failure models struggle to fully analyze and assess the failure modes and responses of FOGs, particularly those related to control and software.

[0003] Currently, most reliability research on fiber optic gyroscopes (FOGs) focuses on the reliability prediction stage, with public research limited to the civilian sector. Large-scale, systematic research on FOG reliability has yet to be conducted in China. Among these, the journal "Design and R&D" published a paper titled "Research on the Application of FMEA and FTA in FOG Reliability Engineering," analyzing the failure modes and impacts of FOGs from the perspectives of components and excitation stresses. Patents CN20140401825.4, "FMEA Analysis Method and System for Components Based on Failure Mechanisms," and CN201410393202.7, "Method and System for Component FMEA Analysis Hierarchy," propose FMEA analysis methods from the perspectives of device-related hierarchies and physical failure models. Patent CN201910643030.7, "A Key Test Process Identification Method Based on Process FMEA," establishes a test process failure mode and impact analysis based on the PFMEA method from the perspective of the test process.

[0004] However, for fiber optic gyroscopes, while device-based methods can be widely applied to failure analysis of various internal components, the fiber optic gyroscope's integrated feedback control system and internal software processing, which combine multiple technical expertise, is not truly reflected. After the internal components of the fiber optic gyroscope are in operation, they perform corresponding actions to complete the intended function, thereby generating a workflow. This workflow is the transmission of various optical signals, voltage / current, and electrical / digital signals, and the components are merely the corresponding actuators. Therefore, this application proposes a workflow-based FMEA analysis method for fiber optic gyroscopes to address the above-mentioned issues. Summary of the Invention

[0005] In order to solve the problem that the existing technology cannot reflect the failure issues in fiber optic gyroscope system control and software processing, the present invention provides a fiber optic gyroscope FMEA analysis method based on workflow.

[0006] In a first aspect, the present invention provides a workflow-based FMEA analysis method for a fiber optic gyroscope, comprising the following steps:

[0007] Get all functional modules;

[0008] Determine all working status of each functional module;

[0009] Constructing a first interaction matrix according to the functional modules and the working states, wherein the first interaction matrix includes all working states of all functional modules;

[0010] Determine the workflow for fiber optic gyroscopes;

[0011] Constructing a second interaction matrix according to the workflow of the fiber optic gyroscope and the first interaction matrix, wherein the second interaction matrix includes all working states of the functional modules involved in each workflow of the fiber optic gyroscope;

[0012] determining a failure mode of the fiber optic gyroscope, wherein the failure mode characterizes an abnormal source of the fault;

[0013] Constructing a third interaction matrix based on the failure form, the second interaction matrix, and preset input items, wherein the preset input items are input types of the functional modules involved in the workflow of the fiber optic gyroscope, and the third interaction matrix includes the working status, input items, and corresponding failure forms of each functional module involved in the workflow of the fiber optic gyroscope;

[0014] Based on the third interaction matrix, FMEA analysis is performed one by one on the functional modules, working states, failure modes and input items in the workflow of the fiber optic gyroscope according to risk sources, risk types and risk descriptions to obtain analysis results.

[0015] In some embodiments, the functional modules include device-type functional modules, combination-type functional modules, and software module-type functional modules.

[0016] In some embodiments, the horizontal dimension of the first interaction matrix is ​​all the functional modules, and the vertical dimension of the first interaction matrix is ​​all the working states of the corresponding functional modules;

[0017] The elements of the first interaction matrix represent a working state of a functional module.

[0018] In some embodiments, the longitudinal quantity of the second interaction matrix is ​​the workflow of the fiber optic gyroscope, and the transverse quantity of the second interaction matrix is ​​the functional module;

[0019] The elements of the second interaction matrix represent the working status of the participating functional modules in the current workflow.

[0020] In some embodiments, the failure modes include:

[0021] The first failure mode is used to characterize that the design performance of the functional module fails to meet or cover the functional requirements;

[0022] The second failure mode is used to indicate that the functional module is normal, but the input item of the functional module is abnormal, causing the failure;

[0023] The third failure mode is used to indicate that the input items of the functional module are normal, but the functional module is abnormal and causes a fault;

[0024] The fourth failure mode is used to characterize that the functional module is abnormal and the fault is caused by abnormal input items.

[0025] In some embodiments, the input items include power supply, digital signal, electrical signal, optical signal, measurement to be measured, force, temperature, humidity, magnetic field, and air pressure;

[0026] In the workflow of each fiber optic gyroscope, the number of input items of the participating functional modules is not less than one.

[0027] In some embodiments, the elements in the third interaction matrix represent failure modes of various states of functional modules under the influence of different input items in the workflow of the fiber optic gyroscope;

[0028] Each state of the functional module has at least one failure mode under the influence of different input items.

[0029] In some embodiments, if the analysis results show that in the same workflow, the functional modules, working status, input items, and failure forms are the same, but the failure phenomena exhibited by the functional modules are different, the failure phenomena are added to the corresponding analysis results, wherein the failure phenomena are abnormal phenomena exhibited by the functional modules.

[0030] In a second aspect, the present invention proposes an electronic device comprising a processor and a memory; the memory is used to store a program; the processor executes the program to implement the workflow-based fiber optic gyroscope FMEA analysis method as described in the first aspect.

[0031] In a third aspect, the present invention provides a computer-readable storage medium storing a program, wherein the program is executed by a processor to implement the workflow-based fiber optic gyroscope FMEA analysis method as described in the first aspect.

[0032] In order to solve the problem that the existing technology cannot reflect the failure problem in fiber optic gyroscope system control and software processing, the present invention has the following advantages:

[0033] Through the technical solution of the present invention, on the one hand, FMEA analysis of the workflow based on the fiber optic gyroscope can be realized, which can better reflect the failure problems in the control and software processing of the fiber optic gyroscope system, so as to formulate a more comprehensive risk response plan in a targeted manner; on the other hand, the object of this method is the workflow in the functional module that is useful for realizing the gyroscope function. As long as the other working states of the functional module do not affect the realization of the fiber optic gyroscope function, there is no need to perform FMEA analysis, thereby reducing a lot of workload and saving manpower and material costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flowchart of a workflow-based FMEA analysis method for fiber optic gyroscopes is shown;

[0035] Figure 2 The figure shows a flow chart of a certain function implementation of a fiber optic gyroscope. DETAILED DESCRIPTION

[0036] The present disclosure will now be discussed with reference to several exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the present disclosure, rather than to imply any limitation on the scope of the present disclosure.

[0037] As used herein, the term "including" and its variations are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment." The term "another embodiment" is to be interpreted as "at least one other embodiment." Terms such as "upper," "lower," "left," "right," "front," "back," "top," "bottom," "inner," "outer," "vertical," "horizontal," "transverse," and "longitudinal" indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings. These terms are primarily intended to better describe the present application and its embodiments and are not intended to limit the devices, elements, or components indicated to having a specific orientation, or to being constructed and operated in a specific orientation. Furthermore, some of the above terms may be used to indicate other meanings besides orientation or positional relationships. For example, the term "on" may, in certain circumstances, be used to indicate a dependency or connection relationship. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances. Furthermore, the terms "installed," "disposed," "provided with," "connected," and "connected" are to be interpreted broadly. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be a direct connection, an indirect connection through an intermediate medium, or an internal connection between two devices, elements, or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances. In addition, the terms "first", "second", etc. are mainly used to distinguish different devices, elements, or components (the specific types and structures may be the same or different), and are not used to indicate or imply the relative importance or quantity of the indicated devices, elements, or components. Unless otherwise specified, "plurality" means two or more.

[0038] In the first aspect, this embodiment discloses a workflow-based FMEA analysis method for fiber optic gyroscopes, such as Figure 1 As shown in the figure, the focus is on the failure mode and risk analysis based on the workflow from the perspective of fiber optic gyroscope function realization. It includes the following steps:

[0039] Get all functional modules;

[0040] Determine all working status of each functional module;

[0041] Constructing a first interaction matrix according to the functional modules and the working states, wherein the first interaction matrix includes all working states of all functional modules;

[0042] Determine the workflow for fiber optic gyroscopes;

[0043] Constructing a second interaction matrix according to the workflow of the fiber optic gyroscope and the first interaction matrix, wherein the second interaction matrix includes all working states of the functional modules involved in each workflow of the fiber optic gyroscope;

[0044] determining a failure mode of the fiber optic gyroscope, wherein the failure mode characterizes an abnormal source of the fault;

[0045] Constructing a third interaction matrix based on the failure form, the second interaction matrix, and preset input items, wherein the preset input items are input types of the functional modules involved in the workflow of the fiber optic gyroscope, and the third interaction matrix includes the working status, input items, and corresponding failure forms of each functional module involved in the workflow of the fiber optic gyroscope;

[0046] Based on the third interaction matrix, FMEA analysis is performed one by one on the functional modules, working states, failure modes and input items in the workflow of the fiber optic gyroscope according to risk sources, risk types and risk descriptions to obtain analysis results.

[0047] Specifically, the FOG and its associated hardware and software are first analyzed to identify all functional modules. Based on these modules, their operating states are determined. Next, a first interaction matrix is ​​constructed based on the functional modules and their operating states. This matrix encompasses all functional modules and their operating states for the entire system. Next, the FOG workflow is determined, and a second interaction matrix is ​​constructed based on the workflow and the first interaction matrix. The second interaction matrix reflects the functional modules involved in each workflow and their operating states. Next, the FOG failure modes and inputs are determined. Based on these failure modes, inputs, and the second interaction matrix, a third interaction matrix is ​​constructed. The third interaction matrix reflects the operating states, inputs, and corresponding failure modes of the functional modules involved in each workflow. Finally, based on the third interaction matrix, a FMEA analysis is performed on the operating states, inputs, and failure modes of each functional module involved in each workflow, one by one, according to risk source, risk type, and risk description, to obtain the final analysis results.

[0048] Specifically, FMEA (Failure Modes and Effects Analysis) is a systematic reliability engineering approach designed to identify potential failure modes in a product or process, assess their impact on system performance, and identify measures to mitigate the risk of failure. This approach can improve product quality and reliability while reducing maintenance costs and safety risks.

[0049] In some embodiments, the functional modules include device-type functional modules, combination-type functional modules, and software module-type functional modules.

[0050] Specifically, a functional module refers to a device, combination, or software module that independently performs one or more functions. For convenience, each functional module is represented in the system as Mn. If it can be further decomposed internally, it is represented as Mn.n. For example, if the information processing circuit is M6, the internal independent FPGA circuit can be M6.1. For example, device-type functional modules include: an SLD light source, which provides a stable optical power source for the gyroscope. The light waves emitted by this light source are modulated by the fiber ring and Y-waveguide to become optical signals carrying angular velocity information; a fiber ring, which, based on the Sagnac effect, converts the angular velocity it senses into the phase difference between two counter-propagating light waves within the ring; a 2×2 fiber coupler, which splits the light waves into two equal beams; and so on. Combination-type functional modules include: a light source driver module, which provides a constant current to the SLD light source and forms a temperature control system with the thermistor and cooler within the light source to maintain the light source die temperature at 25°C; a PIN-FET detector assembly, which converts the light intensity signal into a voltage signal; and an A / D converter circuit, which converts analog signals into digital signals. The software module functional modules include: data acquisition module, which samples the input signal at a specific frequency; temperature sensor module, which generates temperature sensor drive signal and obtains temperature signal and transfers it to other modules, etc.

[0051] Specifically, since each functional module has only a limited number of operating states, the operating state can be represented by Gn in the matrix. For example, the operating states of the functional module FPGA circuit include G0 power off and closed, G1 power on and start, G2 program upload, G3 control drive, G4 reset, G5 data receiving, and G6 data transmission.

[0052] In some embodiments, the horizontal quantity of an element in the first interaction matrix representing a certain working state of a functional module is all said functional modules, and the vertical quantity of the first interaction matrix is ​​all said working states of the corresponding functional modules;

[0053] The elements of the first interaction matrix represent a working state of a functional module.

[0054] Specifically, the first interaction matrix can be represented in the form shown in Table 1, where the horizontal quantity is the functional module and the vertical quantity is the sum of the functional modules. To facilitate recording and searching, a certain working state of a functional module can be recorded as Mn-Gn. For example, the working state of the temperature sensor module storing data can be represented as M7.2-G5.

[0055] Table 1 The first interaction matrix

[0056]

[0057] Specifically, through the first interaction matrix, the status changes of each functional module during the working process can be identified, and the possible risks therein can be analyzed.

[0058] Specifically, the process of determining the workflow of the fiber optic gyroscope can be regarded as drawing a function implementation flowchart, and using the flowchart as the basic path of the workflow of the fiber optic gyroscope, such as Figure 2 As shown in Figure 1, the flowchart contains the entire functional process from power-on to signal output of the fiber optic gyroscope. Each workflow is represented by Ri. If the workflow can be further decomposed, it is represented in the form of Ri.i.

[0059] Specifically, after determining the workflow of the fiber optic gyroscope, the functional modules involved in each workflow and the status of the functional modules in each workflow are analyzed. That is, the first interaction matrix is ​​combined with the workflow of the fiber optic gyroscope to obtain a second interaction matrix.

[0060] In some embodiments, the longitudinal quantity of the second interaction matrix is ​​the workflow of the fiber optic gyroscope, and the transverse quantity of the second interaction matrix is ​​the functional module;

[0061] The elements of the second interaction matrix represent the working status of the participating functional modules in the current workflow.

[0062] Specifically, as shown in Table 2, the longitudinal dimension of the second interaction matrix represents the fiber optic gyroscope's workflow, while the transverse dimension represents the functional modules. The elements represent the operating states of the functional modules involved in the current workflow. This can be conveniently represented in the system using the form Ri-Mn-Gm. For example, in the workflow for outputting an optical carrier, the constant current source drive and temperature control module has two operating states: light source temperature control and light source drive. These can be represented as R2.5-M5-G1 and R2.5-M5-G2.

[0063] Table 2 Second interaction matrix

[0064]

[0065] Specifically, the second interaction matrix allows for comprehensive identification of state changes across functional modules within the workflow, enabling analysis of potential risks. Furthermore, workflow-based analysis is fully applicable to system control and software processing, enabling a more comprehensive analysis.

[0066] After determining the working status of each functional module involved in the workflow, the workflow-based FMEA analysis can be carried out. To carry out the FMEA analysis, the failure mode must be determined first in order to determine the risk source.

[0067] In some embodiments, the failure modes include:

[0068] The first failure mode is used to characterize that the design performance of the functional module fails to meet or cover the functional requirements;

[0069] The second failure mode is used to indicate that the functional module is normal, but the input item of the functional module is abnormal, causing the failure;

[0070] The third failure mode is used to indicate that the input items of the functional module are normal, but the functional module is abnormal and causes a fault;

[0071] The fourth failure mode is used to characterize that the functional module is abnormal and the fault is caused by abnormal input items.

[0072] Specifically, the failure mode indicates the source of the fault. For the system environment in which the fiber optic gyroscope is located, there are generally four failure modes, as shown in Table 3. The first failure mode is used to characterize that the design performance of the functional module does not meet or does not cover the functional requirements, and is represented by the number 0; the second failure mode is used to characterize that the functional module is normal, and the input item of the functional module is abnormal, resulting in a fault, and is represented by the number 1; the third failure mode is used to characterize that the input item of the functional module is normal, and the functional module is abnormal, resulting in a fault, and is represented by the number 2; the fourth failure mode is used to characterize that the functional module is abnormal, and the input item abnormality causes the fault, and is represented by the number 3.

[0073] Table 3 Failure mode

[0074]

[0075] Specifically, by combining the failure form with the second interaction matrix, the failure form of the working status of the functional modules involved in each workflow can be obtained, and the source of the risk can be clearly located.

[0076] In some embodiments, the input items include power supply, digital signal, electrical signal, optical signal, measurement to be measured, force, temperature, humidity, magnetic field, and air pressure;

[0077] In the workflow of each fiber optic gyroscope, the number of input items of the participating functional modules is greater than or equal to 1 and is not less than one.

[0078] Specifically, when different input items are used, the failure modes generated by the same functional module and the same working state in the same workflow may be different. For example, in the workflow that converts the angular velocity signal of a fiber optic ring assembly into an optical signal, when the input item is an optical signal, the failure mode is 1, indicating that the main body is normal, but the input caused an abnormal failure. When the input item is a magnetic field, the failure mode is 1 or 3, indicating that the main body is uncertain whether it is normal, but the input item is definitely abnormal. Therefore, the input item is added as another dimension to the FMEA analysis.

[0079] Specifically, input items include power supply, digital signals, electrical signals, optical signals, quantities to be measured, force, temperature, humidity, magnetic field, air pressure, etc., which are usually represented simply as In in the system, and each functional module often requires more than one input item.

[0080] Specifically, the failure form, input item, and the second interaction matrix are combined to obtain the third interaction matrix, as shown in Table 4. The third interaction matrix adds two dimensions, input item and failure form, to the workflow, forming an interaction matrix of workflow (including functional modules and working status)-input-failure form. As shown in the table, in the workflow 1×3 coupler splitting (R6), the 1×3 coupler (M3) performs a splitting (G1) operation. When the input items involved in the 1×3 coupler are light (I4) and air pressure (10), the corresponding failure forms are 1 and 3, respectively.

[0081] Table 4 The third interaction matrix

[0082]

[0083] Specifically, after determining the third interaction matrix, we analyzed the working status, input items, and failure modes of each functional module involved in each workflow based on the third interaction matrix. FMEA analysis was performed based on risk source, risk type, and risk description. The final results are shown in Table 5.

[0084] Table 5 FMEA analysis results based on workflow

[0085]

[0086] Specifically, the analysis number in Table 5 indicates which workflow, functional module, and operating state the problem occurred in. It also allows us to determine which input caused the problem, either the underlying or the input. For example, using R18-M7.3-G2-I2-1, we can locate the workflow where the problem occurred during the calculation and generation of the feedback modulation signal. During the computation and processing of the modulation wave module, a problem occurred with the digital signal received, causing the problem.

[0087] Specifically, through FMEA analysis of the third interaction matrix based on risk sources, risk types, and risk descriptions, we can identify scenarios corresponding to specific abnormal conditions in each functional module's operating state throughout the fiber optic gyroscope's workflow. This allows for targeted risk prevention measures, effectively addressing risks while significantly reducing manpower and physical resources required to respond to unexpected risks. This addresses gaps in failure risk analysis, particularly in system control and software processing.

[0088] In some embodiments, if the analysis results show that in the same workflow, the functional modules, working status, input items, and failure forms are the same, but the failure phenomena exhibited by the functional modules are different, the failure phenomena are added to the corresponding analysis results, wherein the failure phenomena are abnormal phenomena exhibited by the functional modules.

[0089] In this embodiment, the dimension of phenomenon is added to the final analysis result and represented by Yk. Specifically, due to different observation perspectives of abnormal phenomena or different standards for defining abnormalities, in the same workflow, functional modules with the same phase, the same working state, the same input items, and the same failure form may also have different abnormal phenomena. In particular, for different observation perspectives, the description of the abnormal phenomenon will be different. For example: in the phase modulation process R of the gyroscope, the waveguide M, in a humid environment C, due to the problem of insufficient protective film (superior event D), the modulation function G fails, resulting in the half-wave voltage abnormality Y1 and the waveform slope abnormality Y2. When we use it normally, what we can actually see is the half-wave voltage abnormality or the waveform slope abnormality. These two identifiable and quantifiable fault phenomena. But this is equivalent to two phenomena occurring in this fault, so it needs to be defined as two faults, and its fault modes are RMCDG-Y1 and RMCDG-Y2 respectively.

[0090] Specifically, adding the dimension of describing the phenomenon into the analysis results can make the FMEA analysis results more concrete, and can also make various measures more targeted in targeted risk prevention or subsequent maintenance.

[0091] In a second aspect, the present invention proposes an electronic device comprising a processor and a memory; the memory is used to store a program; the processor executes the program to implement the workflow-based fiber optic gyroscope FMEA analysis method as described in the first aspect.

[0092] In a third aspect, the present invention provides a computer-readable storage medium storing a program, wherein the program is executed by a processor to implement the workflow-based fiber optic gyroscope FMEA analysis method as described in the first aspect.

[0093] In summary, the above method can, on the one hand, realize the workflow FMEA analysis based on the fiber optic gyroscope, which can better reflect the failure problems in the control and software processing of the fiber optic gyroscope system, so as to formulate a more comprehensive risk response plan in a targeted manner; on the other hand, the object of this method is the workflow in the functional module that is useful for realizing the gyroscope function. As long as the other working states of the functional module do not affect the realization of the fiber optic gyroscope function, there is no need to perform FMEA analysis, thereby reducing a lot of workload and saving manpower and material costs.

[0094] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations that come within the meaning and range of equivalents of the claims be embraced therein.

[0095] In addition, it should be understood that although this specification is described according to embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. The FMEA analysis method of fiber optic gyroscope based on workflow is characterized by: include: Get all functional modules; Determine all working status of each functional module; Constructing a first interaction matrix according to the functional modules and the working states, wherein the first interaction matrix includes all working states of all functional modules; Determine the workflow for fiber optic gyroscopes; Constructing a second interaction matrix according to the workflow of the fiber optic gyroscope and the first interaction matrix, wherein the second interaction matrix includes all working states of the functional modules involved in each workflow of the fiber optic gyroscope; determining a failure mode of the fiber optic gyroscope, wherein the failure mode characterizes an abnormal source of the fault; Constructing a third interaction matrix based on the failure form, the second interaction matrix, and preset input items, wherein the preset input items are input types of the functional modules involved in the workflow of the fiber optic gyroscope, and the third interaction matrix includes the working status, input items, and corresponding failure forms of each functional module involved in the workflow of the fiber optic gyroscope; Based on the third interaction matrix, FMEA analysis is performed one by one on the functional modules, working states, failure modes, and input items in the workflow of the fiber optic gyroscope according to risk sources, risk types, and risk descriptions to obtain analysis results; The functional modules include device-type functional modules, combination-type functional modules and software module-type functional modules.

2. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: The horizontal dimension of the first interaction matrix is ​​all the functional modules, and the vertical dimension of the first interaction matrix is ​​all the working states of the corresponding functional modules; The elements of the first interaction matrix represent a working state of a functional module.

3. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: The longitudinal quantity of the second interaction matrix is ​​the workflow of the fiber optic gyroscope, and the transverse quantity of the second interaction matrix is ​​the functional module; The elements of the second interaction matrix represent the working status of the participating functional modules in the current workflow.

4. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: The failure modes include: The first failure mode is used to characterize that the design performance of the functional module fails to meet or cover the functional requirements; The second failure mode is used to indicate that the functional module is normal, but the input item of the functional module is abnormal, causing the failure; The third failure mode is used to indicate that the input items of the functional module are normal, but the functional module is abnormal and causes a fault; The fourth failure mode is used to characterize that the functional module is abnormal and the fault is caused by abnormal input items.

5. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: The input items include power supply, digital signal, electrical signal, optical signal, measurement to be measured, force, temperature, humidity, magnetic field, and air pressure; In the workflow of each fiber optic gyroscope, the number of input items of the participating functional modules is not less than one.

6. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: The elements in the third interaction matrix represent the failure modes of each state of the functional module under the influence of different input items in the workflow of the fiber optic gyroscope; Each state of the functional module has at least one failure mode under the influence of different input items.

7. The workflow-based FMEA analysis method for fiber optic gyroscope according to claim 1, characterized in that: If the analysis results show that in the same workflow, the functional modules, working states, input items, and failure forms are the same, but the failure phenomena exhibited by the functional modules are different, the failure phenomena are added to the corresponding analysis results, wherein the failure phenomena are abnormal phenomena exhibited by the functional modules.

8. An electronic device, characterized in that: The method comprises a processor and a memory; the memory is used to store a program; the processor executes the program to implement the workflow-based fiber optic gyroscope FMEA analysis method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that The storage medium stores a program, and the program is executed by a processor to implement the workflow-based fiber optic gyroscope FMEA analysis method according to any one of claims 1 to 7.

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