Optical fiber gyroscope FMEA analysis method and equipment based on workflow and medium

Abstract

The invention relates to the technical field of failure mode and influence analysis, in particular to a workflow-based FMEA (failure mode and effect analysis) method and equipment for an optical fiber gyroscope and a medium. Obtaining all functional modules, determining all working states of each functional module, and constructing a first interaction matrix according to the functional modules and the working states; determining a workflow of the optical fiber gyroscope; constructing a second interaction matrix according to the workflow of the optical fiber gyroscope and the first interaction matrix, wherein the second interaction matrix comprises all working states of participating functional modules in each workflow of the optical fiber gyroscope; determining a failure form, and constructing a third interaction matrix according to the failure form, the second interaction matrix and a preset input item; and based on the third interaction matrix, performing workflow-based FMEA analysis on the optical fiber gyroscope to obtain an analysis result. Therefore, the problem that the failure problem in the aspects of fiber-optic gyroscope system control and software processing cannot be reflected in the prior art is solved.

Description

Technical Field

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

[0002] A fiber optic gyroscope is an angular velocity measuring device that combines multiple types of technologies and devices such as optical paths, circuits, software, and structures. Its design, development, production, and application cover knowledge in various disciplines such as optics, mechanics, electronics, control, software, materials, etc., and its failure modes and influence mechanisms are diverse. However, traditional methods based on device levels and physical failure models are difficult to fully sort out and evaluate the failure modes and response analysis of fiber optic gyroscopes, especially for control and software categories.

[0003] Currently, most of the reliability research on fiber optic gyroscopes focuses on the reliability prediction stage. The publicly available research is only limited to the civilian field, and there has not been a large-scale systematic study on the reliability of fiber optic gyroscopes in China. Among them, "Design and R & D" published the "Research on the Application of FMEA and FTA in the Reliability Engineering of Fiber Optic Gyroscopes", which analyzed the failure modes and influences of fiber optic gyroscopes from the perspectives of components and excitation stresses; Patent CN20140401825.4 "FMEA Analysis Method and System for Components Based on Failure Mechanisms" and Patent CN201410393202.7 "Method and System for Dividing the Analysis Hierarchy of Component FMEA" proposed FMEA analysis methods from the perspectives of device-related levels and physical failure models; Patent CN201910643030.7 "A Method for Identifying Key Test Processes Based on Process FMEA" established a failure mode and effect analysis of test processes based on the PFMEA method from the perspective of test processes.

[0004] However, for fiber optic gyroscopes, although device-based methods can be widely applied to the failure analysis of various internal devices, the feedback control system and internal software processing that combine multiple technical specialties of fiber optic gyroscopes are not truly reflected. After the internal devices of the fiber optic gyroscope work, they perform corresponding actions to complete the predetermined functions, thereby generating a workflow. This workflow is the transmission of various optical signals, voltage / current, and electrical / digital signals, and the devices are just the corresponding execution mechanisms. Therefore, the present application proposes a workflow-based FMEA analysis method for fiber optic gyroscopes to solve the above problems. Summary of the Invention

[0005] To solve the problem that the existing technology cannot reflect the failure problems in the control and software processing of fiber optic gyroscope systems, the present invention provides a workflow-based FMEA analysis method for fiber optic gyroscopes.

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

[0007] Obtain all functional modules;

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

[0009] Construct a first interaction matrix based on the functional modules and working states, where the first interaction matrix includes all working states of all functional modules;

[0010] Determine the workflow of the fiber optic gyroscope;

[0011] Construct a second interaction matrix based on the workflow of the fiber optic gyroscope and the first interaction matrix, where the second interaction matrix includes all working states of the functional modules involved in each workflow of the fiber optic gyroscope;

[0012] Determine the failure modes of the fiber optic gyroscope, where the failure modes characterize the abnormal sources of faults;

[0013] Construct a third interaction matrix based on the failure modes, the second interaction matrix, and preset input items, where the preset input items are the input types of the functional modules involved in the workflow of the fiber optic gyroscope, and the third interaction matrix includes the working states, input items, and corresponding failure modes of the functional modules involved in each workflow of the fiber optic gyroscope;

[0014] Based on the third interaction matrix, perform FMEA analysis on the functional modules, working states, failure modes, and input items in the workflow of the fiber optic gyroscope one by one according to the risk source, risk type, and risk description to obtain an analysis result.

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

[0016] In some embodiments, the horizontal vector of the first interaction matrix is all the functional modules, and the vertical vector 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 vertical vector of the second interaction matrix is the workflow of the fiber optic gyroscope, and the horizontal vector of the second interaction matrix is the functional modules;

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

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

[0021] The first failure mode is used to characterize that the designed performance of the functional module fails to meet or does not cover the functional requirements;

[0022] The second failure mode is used to characterize that the functional module is normal, and an abnormal input item of the functional module causes a failure;

[0023] The third failure mode is used to characterize that the input item of the functional module is normal, and an abnormal functional module causes a failure;

[0024] The fourth failure mode is used to characterize that the functional module is abnormal, and an abnormal input item causes a failure.

[0025] In some embodiments, the input items include power supply, digital signal, electrical signal, optical signal, quantity to be measured, force, temperature, humidity, magnetic field, 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 characterize the failure modes of the various states of the functional module in the workflow of the fiber optic gyroscope under the influence of different input items;

[0028] The number of failure modes of the various states of the functional module under the influence of different input items is not less than one.

[0029] In some embodiments, if in the analysis result, in the same workflow, the functional module, working state, input item, and failure mode are the same, but the failure phenomena exhibited by the functional module are different, add the failure phenomena to the corresponding analysis result, where the failure phenomena are the abnormal phenomena exhibited by the functional module.

[0030] In a second aspect, the present invention proposes an electronic device, including 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 proposes a computer-readable storage medium, where 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 as described in the first aspect.

[0032] To solve the problem that the prior art cannot reflect the failure problems in the control and software processing of the fiber optic gyro system, the present invention has the following advantages:

[0033] Through the technical solution of the present invention, on the one hand, the workflow FMEA analysis 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 a fiber optic gyroscope 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 thus implement the present disclosure, rather than implying any limitation on the scope of the present disclosure.

[0037] As used herein, the term "comprising" and its variants are to be construed as open-ended terms meaning "including but not limited to". The term "based on" is to be construed as "at least partially based on". The terms "one embodiment" and "an embodiment" are to be construed as "at least one embodiment". The term "another embodiment" is to be construed as "at least one other embodiment". The orientation or positional relationships indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "vertical", "horizontal", "lateral", "longitudinal", etc. are based on the orientation or positional relationships shown in the drawings. These terms are mainly used to better describe the present application and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation, or be constructed and operated in a specific orientation. Also, in addition to being used to represent orientation or positional relationships, some of the above terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in the present application can be understood according to specific circumstances. In addition, the terms "mounted", "arranged", "provided with", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral structure; it may be a mechanical connection or an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, or there may be internal communication between two devices, elements or components. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to 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 and quantity of the indicated devices, elements or components. Unless otherwise specified, the meaning of "a plurality" is two or more.

[0038] In a first aspect, the present embodiment discloses a workflow-based FMEA analysis method for fiber optic gyroscopes. As Figure 1 shown, it focuses on conducting failure mode and risk analysis from the perspective of the function realization of fiber optic gyroscopes and based on the workflow. The method includes the following steps:

[0039] Obtain all functional modules;

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

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

[0042] Determine the workflow of the fiber optic gyroscope;

[0043] Construct a second interaction matrix according to the workflow of the fiber optic gyroscope and the first interaction matrix. The second interaction matrix includes all the working states of the functional modules involved in each workflow of the fiber optic gyroscope.

[0044] Determine the failure modes of the fiber optic gyroscope, where the failure modes characterize the abnormal sources of faults.

[0045] Construct a third interaction matrix according to the failure modes, the second interaction matrix, and the preset input items. The preset input items are the input types of the functional modules involved in the workflow of the fiber optic gyroscope. The third interaction matrix includes the working states, input items, and corresponding failure modes of the functional modules involved in each workflow of the fiber optic gyroscope.

[0046] Based on the third interaction matrix, perform FMEA analysis on the functional modules, working states, failure modes, and input items in the workflow of the fiber optic gyroscope one by one according to the risk source, risk type, and risk description to obtain the analysis result.

[0047] Specifically, first, sort out the fiber optic gyroscope and related supporting software and hardware to obtain all functional modules, and determine all their working states based on the functional modules. Second, construct a first interaction matrix based on the functional modules and their working states. Then the first interaction matrix includes all the functional modules of the entire system and all the working states of the functional modules. Third, determine the workflow of the fiber optic gyroscope, and construct a second interaction matrix based on the workflow and the first interaction matrix. The second interaction matrix reflects the functional modules involved in each workflow and the working states of the involved functional modules. Third, determine the failure modes and input items of the fiber optic gyroscope, and construct a third interaction matrix based on the failure modes, input items, and the second interaction matrix. The third interaction matrix reflects the working states, input items, and corresponding failure modes of the functional modules involved in each workflow. Finally, based on the third interaction matrix, perform FMEA analysis on the working states, input items, and failure modes of the functional modules involved in each workflow one by one according to the risk source, risk type, and risk description to obtain the final analysis result.

[0048] Specifically, FMEA (Failure Modes and Effects Analysis) is a systematic reliability engineering method, aiming to identify possible failure modes in a product or process, evaluate the impacts of these failure modes on system performance, and determine measures to reduce the failure risk. Through this method, the quality and reliability of the product can be improved, while the maintenance cost and safety risk can be reduced.

[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 can independently complete one or more functions. In the system, for convenience, each functional module is represented by Mn. If it can be further decomposed internally, it is represented in the form of Mn.n. For example, if the information processing circuit is M6, the FPGA circuit with independent internal functions can be M6.1. For instance, device-type functional modules include: an SLD light source that provides a light source with stable optical power for the gyroscope. The emitted light wave of this light source, under the modulation of the fiber optic loop and Y waveguide, becomes an optical signal carrying angular rate information; a fiber optic loop that, based on the Sagnac effect, converts the angular rate it senses into the phase difference between two counter-propagating light waves in the loop; a 2×2 fiber optic coupler that splits the light wave into two equal beams, and so on. Combination-type functional modules include: a light source drive module that provides a constant current for the SLD light source and forms a temperature control system with the thermistor and cooler inside the light source to keep the temperature of the light source die at 25°C; a PIN-FET detector assembly that converts the light intensity signal into a voltage signal; an AD conversion circuit that converts the analog signal into a digital signal, and so on. Software module-type functional modules include: a data acquisition module that samples the input signal at a specific frequency; a temperature sensor module that generates a temperature sensor drive signal and obtains the temperature signal and transfers it to other modules, and so on.

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

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

[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. Its horizontal vector is the functional module, and the vertical vector is the sum of the functional modules. For ease of recording and searching, a certain working state of a certain 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 First Interaction Matrix

[0056]

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

[0058] Specifically, the process of determining the working process of the fiber optic gyroscope can be regarded as drawing a flowchart of function realization, and this diagram is used as the basic path of the working flow of the fiber optic gyroscope. As Figure 2 shown, this flowchart includes all the functional processes from the power-on of the fiber optic gyroscope to the signal output. Each working flow is represented by Ri. If the working flow can be further decomposed internally, it is represented in the form of Ri.i.

[0059] Specifically, after determining the working flow of the fiber optic gyroscope, analyze the functional modules involved in each working flow and the states of the functional modules in each working flow. That is, by combining the first interaction matrix with the working flow of the fiber optic gyroscope, a second interaction matrix is obtained.

[0060] In some embodiments, the vertical vector of the second interaction matrix is the working flow of the fiber optic gyroscope, and the horizontal vector of the second interaction matrix is the functional module;

[0061] The elements of the second interaction matrix characterize the working states of the functional modules participating in the current working flow.

[0062] Specifically, as shown in Table 2, the vertical vector of the second interaction matrix is the working flow of the fiber optic gyroscope, the horizontal vector is the functional module, and the elements characterize the working states of the functional modules participating in the current working flow. And in the system, it can be represented in the simple form of Ri-Mn-Gm. For example, in the working flow of outputting the optical carrier, the constant current source drive and temperature control module has two working states of light source temperature control and light source drive, which can be represented as R2.5-M5-G1 and R2.5-M5-G2.

[0063] Table 2 Second Interaction Matrix

[0064]

[0065] Specifically, through the second interaction matrix, the state changes of each functional module in the working flow can be comprehensively identified, and then the possible risks can be analyzed. And the analysis method based on the working flow can be fully applied to system control and software processing, making the analysis more comprehensive.

[0066] After determining the working states of the functional modules participating in each working flow, FMEA analysis based on the working flow can be carried out. And to carry out FMEA analysis, the failure mode must be determined first to judge 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 does not cover the functional requirements;

[0069] The second failure mode is used to characterize that the functional module is normal, and the abnormal input item of the functional module causes a failure;

[0070] The third failure mode is used to characterize that the input item of the functional module is normal, and the abnormal functional module causes a failure;

[0071] The fourth failure mode is used to characterize that the functional module is abnormal and the abnormal input item causes a failure.

[0072] Specifically, the failure mode indicates the source of the failure that occurs. For the system environment where the fiber optic gyroscope is located, generally there are 4 failure modes, as shown in Table 3. The first failure mode is used to characterize that the design performance of the functional module fails to 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 abnormal input item of the functional module causes a failure, 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 abnormal functional module causes a failure, and is represented by the number 2; the fourth failure mode is used to characterize that the functional module is abnormal and the abnormal input item causes a failure, which is represented by the number 3.

[0073] Table 3 Failure Modes

[0074]

[0075] Specifically, by combining the failure mode with the second interaction matrix, the failure mode of the working state 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 made, force, temperature, humidity, magnetic field, air pressure;

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

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

[0079] Specifically, the 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 simply represented by In in the system, and each functional module often requires more than one type of input item.

[0080] Specifically, by combining the failure modes, input items with the second interaction matrix, the third interaction matrix is obtained, as shown in Table 4. The third interaction matrix adds two dimensions of input items and failure modes on the basis of the workflow, forming an interaction matrix of workflow (including functional modules and working states) - input - failure mode. As shown in the table, in the optical splitting of the 1×3 coupler in Workflow 1×3 coupler splitting (R6), the 1×3 coupler (M3) performs the optical splitting (G1) operation. When the input items involved in the 1×3 coupler are light (I4) and air pressure (I10), the corresponding failure modes are 1 and 3 respectively.

[0081] Table 4 The Third Interaction Matrix

[0082]

[0083] Specifically, after determining the third interaction matrix, based on the third interaction matrix, the working states, input items, and failure modes of the functional modules involved in each workflow are analyzed one by one, and the FMEA analysis is specifically carried out according to the 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, from the analysis number in Table 5, it can be known in which workflow, which working state of which functional module has a problem, and at the same time, it can also be determined which input causes the abnormality of the ontology or the input. For example, through R18 - M7.3 - G2 - I2 - 1, it can be located that in the stage of calculating and generating the feedback modulation signal in the workflow where the abnormality occurs, when the modulation wave module is performing arithmetic processing, the digital signal received has a problem, resulting in an abnormality.

[0087] Specifically, through the FMEA analysis of the third interaction matrix based on the risk source, risk type, and risk description, the scenarios corresponding to the specific abnormal situations of each working state of each functional module in the entire working process of the fiber optic gyroscope can be obtained, so that targeted risk prevention measures can be taken, effectively coping with risks, and at the same time greatly saving the manpower and physical resources for coping with sudden risks. Especially in system control and software processing, it makes up for the loopholes in the failure risk analysis in this regard.

[0088] In some embodiments, if in the analysis results, in the same workflow, the functional modules, working states, input items, and failure forms are all 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, which is represented by Yk. Specifically, due to the different observation perspectives of abnormal phenomena or the different standards for defining abnormalities, in the same workflow, the same phase functional modules, the same working state, the same input items, and the same failure form may also have different abnormal phenomena, especially 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 has a problem of insufficient protective film (superior event D), and the modulation function G fails, resulting in the half-wave voltage abnormal phenomenon Y1 and the waveform slope abnormal phenomenon 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 their 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 analysis results of FMEA more concrete, and can also make various measures more targeted in targeted risk prevention or post-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 proposes a computer-readable storage medium, wherein 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 as described in the first aspect.

[0093] In summary, through the above method, on the one hand, the workflow FMEA analysis 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.

[0094] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention.

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

Claims

1. A workflow-based FMEA analysis method for fiber optic gyroscopes, characterized in that, Including: Obtain all functional modules; Determine all working states of each functional module; Construct a first interaction matrix based on the functional modules and working states, where the first interaction matrix includes all working states of all functional modules; Determine the workflow of the fiber optic gyroscope; Construct a second interaction matrix based on the workflow of the fiber optic gyroscope and the first interaction matrix, where the second interaction matrix includes all working states of the functional modules involved in each workflow of the fiber optic gyroscope; Determine the failure modes of the fiber optic gyroscope, where the failure modes characterize the abnormal sources of faults; Construct a third interaction matrix based on the failure modes, the second interaction matrix, and preset input items, where the preset input items are the input types of the functional modules involved in the workflow of the fiber optic gyroscope, and the third interaction matrix includes the working states, input items, and corresponding failure modes of the functional modules involved in each workflow of the fiber optic gyroscope; Based on the third interaction matrix, perform FMEA analysis on the functional modules, working states, failure modes, and input items in the workflow of the fiber optic gyroscope one by one according to the risk source, risk type, and risk description to obtain the analysis results.

2. The method for FMEA analysis of fiber optic gyroscopes based on workflow according to claim 1, characterized in that, The functional modules include device - type functional modules, combined - type functional modules, and software - module - type functional modules.

3. The FMEA analysis method of the fiber optic gyroscope based on the workflow according to claim 1, characterized in that, The horizontal vector of the first interaction matrix is all the functional modules, and the vertical vector of the first interaction matrix is all the working states of the corresponding functional modules; The elements of the first interaction matrix represent one working state of a functional module.

4. The workflow-based FMEA analysis method for fiber optic gyroscopes according to claim 1, wherein The vertical vector of the second interaction matrix is the workflow of the fiber optic gyroscope, and the horizontal vector of the second interaction matrix is the functional module; The elements of the second interaction matrix represent the working states of the functional modules involved in the current workflow.

5. The FMEA analysis method of an optical fiber gyroscope based on a workflow according to claim 1, wherein The failure modes include: The first failure mode, which is used to characterize that the design performance of the functional module fails to meet or does not cover the functional requirements; The second failure mode, which is used to characterize that the functional module is normal, but the abnormal input item of the functional module causes a fault; The third failure mode, which is used to characterize that the input item of the functional module is normal, but the functional module is abnormal and causes a fault; The fourth failure mode, which is used to characterize that the functional module is abnormal and the abnormal input item causes a fault.

6. The FMEA analysis method for fiber optic gyroscopes based on workflow according to claim 1, wherein, The input items include power supply, digital signal, electrical signal, optical signal, quantity to be measured, force, temperature, humidity, magnetic field, air pressure; In each workflow of the fiber optic gyroscope, the number of input items of the functional modules involved is not less than one.

7. The method for FMEA analysis of a fiber optic gyroscope based on a workflow according to claim 1, characterized in that, The elements in the third interaction matrix represent the failure modes of the various states of the functional modules in the workflow of the fiber optic gyroscope under the influence of different input items; The number of failure modes of the various states of the functional modules under the influence of different input items is not less than one.

8. The method for FMEA analysis of fiber optic gyroscopes based on workflow according to claim 1, wherein If in the analysis results, in the same workflow, the functional module, working state, input item, and failure mode are all the same, but the failure phenomena shown by the functional module are different, add the failure phenomena to the corresponding analysis results, where the failure phenomena are the abnormal phenomena shown by the functional module.

9. An electronic device, characterized in that, It includes a processor and a memory; the memory is used to store programs; the processor executes the programs to implement the workflow-based FMEA analysis method for fiber optic gyroscopes as described in any one of claims 1-8.

10. 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 FMEA analysis method for fiber optic gyroscopes as described in any one of claims 1-8.

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