Test method and system for optimizing design and process flow of fiber optic current transformers

Abstract

The application discloses a kind of test methods and systems for optimizing the production design and process flow of fiber-optic current transformer, belong to fiber-optic current transformer technical field.The method of the present application comprises: establishing the mapping relationship between the characteristic parameters;For the sensitive device of the fiber-optic current transformer, determine the state variable for representing the failure of the sensitive device;Establish the corresponding relationship between the key parameters and the fiber-optic current transformer;Locate the fault point of sensitive device based on the weight;Adjust the design and process flow related to the production of the fiber-optic current transformer, obtain the optimized design and process flow related to the production of the fiber-optic current transformer.The present application determines the production design and process flow for optimizing the fiber-optic current transformer through simulation test, to produce the fiber-optic current transformer with the optimized production design and process flow of the present application, the reliability of the produced fiber-optic current transformer is improved, and the performance is optimized.

Description

Technical Field

[0001] This invention relates to the field of fiber optic current transformer technology, and more specifically, to a test method and system for optimizing the production design and process flow of fiber optic current transformers. Background Technology

[0002] Fiber optic current transformers, based on Faraday's magneto-optical effect and Ampere's circuital law, use optical fibers as sensing elements and contain numerous electronic and optical components. The Suzhou substation first used fiber optic current transformers in a DC project in 2012. In recent years, with their widespread use in new projects, their deployment has increased annually. As of the end of December 2022, the State Grid Corporation's converter stations had a total of 4,762 DC current transformers, of which 1,893 were fiber optic current transformers, accounting for 39.8%. In actual operation, fiber optic current transformers frequently experience data invalidation and automatic shutdown faults under extreme environments (especially low temperatures and vibration). Although some temporary rectification measures have been implemented, fundamental corrective measures are lacking, posing a significant threat to the stable operation of the DC system. Statistics show that from 2020 to 2022, over 100 failures occurred in the all-fiber optic current transformers (CTs) at converter stations under the State Grid. Low-temperature resistance and vibration margin issues are among the main factors leading to these failures. For example, at the Deyang station, the modulation tank and rain cover of a fiber optic current transformer came into contact with each other due to wind, causing vibration that led to a sudden change in the measured current and DC blocking. At the Ximeng station, during extremely cold weather, 13 out of 28 fiber optic current transformers in the DC field exhibited abnormal measurements below -32°C, and during the temperature recovery process, excessive differential current caused DC blocking. At the Ximeng and Zhalute stations, fiber optic current transformer failures manifested as significant deviations in measured values ​​at -30°C. At the Zhengping station, fiber optic current transformers experienced sensor fiber displacement due to vibration during transportation, resulting in invalid data output. Fiber optic current transformer failures have become a significant factor affecting the reliable and stable operation of DC systems.

[0003] Previous analyses of the fault mechanisms of fiber optic current transformers have not been in-depth or comprehensive enough, often focusing on the overall external characteristics of the fiber optic current transformer without delving into the key component level of internal faults. Consequently, the proposed improvement measures have limitations. Furthermore, the type test items do not fully match the field operating environment of fiber optic current transformers under extreme conditions. Summary of the Invention

[0004] To address the above problems, this invention proposes an experimental method for optimizing the production design and process flow of fiber optic current transformers, comprising:

[0005] Obtain a typical fault case dataset of fiber optic current transformers, determine typical fault phenomena of fiber optic current transformers based on the typical fault case dataset, extract feature parameters from the typical fault case dataset, and establish mapping relationships between the feature parameters.

[0006] Based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the characteristic parameters, state parameters for characterizing the faults of the sensitive devices of the fiber optic current transformer are determined.

[0007] In a laboratory environment, a simulation test is conducted on the typical fault phenomena of the fiber optic current transformer to obtain the first simulation data of the typical fault phenomena of the fiber optic current transformer. Key parameters related to the state parameters in the first simulation data are extracted, and the correspondence between the key parameters and the fiber optic current transformer is established.

[0008] In a laboratory environment, a local fault simulation test is conducted on the sensitive device of the fiber optic current transformer to obtain second simulation data of the fault of the sensitive device. Based on the second simulation data and the corresponding relationship, the impact data of the sensitive component fault on the fiber optic current transformer is determined. The impact data is classified and the weight of each type of impact data is determined. Based on the weight, the fault point of the sensitive device is located.

[0009] Based on the located fault points, the defect data related to the production of the fiber optic current transformer is determined. Based on the defect data related to the production, the design and process flow related to the production of the fiber optic current transformer are adjusted to obtain an optimized design and process flow related to the production of the fiber optic current transformer.

[0010] Optional characteristic parameters include: state-sensing parameters of the fiber optic current transformer, environmental condition parameters, and system output parameters.

[0011] Optional, sensitive devices include: primary and secondary components of fiber optic current transformers.

[0012] Optional, key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

[0013] Optional, production-related defect data, including: design defect data, manufacturing process data, and component selection defect data.

[0014] Optionally, the method may further include, before conducting the simulation experiment:

[0015] Determine the test conditions and test parameters;

[0016] Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer;

[0017] The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

[0018] Optional test conditions include: temperature conditions.

[0019] Furthermore, this invention also proposes an experimental system for optimizing the production design and process flow of fiber optic current transformers, comprising:

[0020] The data acquisition unit is used to acquire a typical fault case dataset of the fiber optic current transformer, determine the typical fault phenomena of the fiber optic current transformer based on the typical fault case dataset, extract the feature parameters in the typical fault case dataset, and establish the mapping relationship between the feature parameters.

[0021] The feature extraction unit is used to determine state parameters for characterizing the faults of the sensitive devices of the fiber optic current transformer based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the feature parameters.

[0022] The first simulation test unit is used to conduct simulation tests on typical fault phenomena of the fiber optic current transformer in a laboratory environment, so as to obtain the first simulation data of typical fault phenomena of the fiber optic current transformer, extract the key parameters related to the state parameters in the first simulation data, and establish the correspondence between the key parameters and the fiber optic current transformer.

[0023] The second simulation test unit is used to conduct a local fault simulation test on the sensitive device of the fiber optic current transformer in a laboratory environment to obtain second simulation data of the fault of the sensitive device of the fiber optic current transformer. Based on the second simulation data and the corresponding relationship, the impact data of the sensitive component fault on the fiber optic current transformer is determined, the impact data is classified, and the weight of each type of impact data is determined. Based on the weight, the fault point of the sensitive device is located.

[0024] The optimization unit is used to determine the production-related defect data of the fiber optic current transformer based on the located fault point, and to obtain an optimized design and process flow related to the production of the fiber optic current transformer based on the production-related defect data.

[0025] Optional characteristic parameters include: state-sensing parameters of the fiber optic current transformer, environmental condition parameters, and system output parameters.

[0026] Optional, sensitive devices include: primary and secondary components of fiber optic current transformers.

[0027] Optional, key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

[0028] Optional, production-related defect data, including: design defect data, manufacturing process data, and component selection defect data.

[0029] Optionally, the first simulation test unit is also used for:

[0030] Determine the test conditions and test parameters;

[0031] Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer;

[0032] The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

[0033] Optional test conditions include: temperature conditions.

[0034] In another aspect, the present invention also provides a computing device, comprising: one or more processors;

[0035] A processor is used to execute one or more programs;

[0036] When the one or more programs are executed by the one or more processors, the method described above is implemented.

[0037] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method described above.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] This invention proposes an experimental method for optimizing the production design and process flow of fiber optic current transformers, comprising: acquiring a typical fault case dataset of the fiber optic current transformer; determining typical fault phenomena of the fiber optic current transformer based on the typical fault case dataset; extracting feature parameters from the typical fault case dataset; and establishing a mapping relationship between the feature parameters; determining state parameters for characterizing the faults of the sensitive devices of the fiber optic current transformer based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the feature parameters; and conducting simulation experiments on the typical fault phenomena of the fiber optic current transformer in a laboratory environment to obtain first simulation data of the typical fault phenomena of the fiber optic current transformer, and extracting the state parameters from the first simulation data that correspond to the state parameters. This invention identifies key parameters related to parameters and establishes a correspondence between these parameters and the fiber optic current transformer. In a laboratory environment, a local fault simulation test is conducted on the sensitive components of the fiber optic current transformer to obtain second simulated fault data. Based on this second simulated data and the correspondence, the impact of the sensitive component fault on the fiber optic current transformer is determined. This impact data is categorized, and the weight of each category is determined. The fault point of the sensitive component is located based on the weight. Based on the located fault point, production-related defect data of the fiber optic current transformer is determined. Based on this production-related defect data, the design and process flow related to the production of the fiber optic current transformer are adjusted to obtain an optimized design and process flow. This invention uses simulation tests to determine the production design and process flow for optimizing fiber optic current transformers. Using the optimized production design and process flow of this invention to produce fiber optic current transformers improves reliability and optimizes performance. Attached Figure Description

[0040] Figure 1 This is a flowchart of the method of the present invention;

[0041] Figure 2 This is a schematic diagram of the method of the present invention;

[0042] Figure 3 This is a structural diagram of the fiber optic current transformer according to the method of the present invention;

[0043] Figure 4 This is an error drift diagram of each channel in a low-temperature test of a sample in a specific example of the method of the present invention;

[0044] Figure 5 This is a structural diagram of the system of the present invention. Detailed Implementation

[0045] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0046] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0047] Example 1:

[0048] This invention proposes an experimental method for optimizing the production design and process flow of fiber optic current transformers, such as... Figure 1 As shown, it includes:

[0049] Step 1: Obtain a typical fault case dataset of the fiber optic current transformer. Based on the typical fault case dataset, determine the typical fault phenomena of the fiber optic current transformer, extract the feature parameters in the typical fault case dataset, and establish the mapping relationship between the feature parameters.

[0050] Step 2: Based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the characteristic parameters, determine the state parameters used to characterize the faults of the sensitive devices of the fiber optic current transformer.

[0051] Step 3: Conduct a simulation test on the typical fault phenomena of the fiber optic current transformer in a laboratory environment to obtain the first simulation data of the typical fault phenomena of the fiber optic current transformer, extract the key parameters related to the state parameters in the first simulation data, and establish the correspondence between the key parameters and the fiber optic current transformer.

[0052] Step 4: Conduct a local fault simulation test on the sensitive device of the fiber optic current transformer in a laboratory environment to obtain second simulation data of the fault of the sensitive device of the fiber optic current transformer. Based on the second simulation data and the corresponding relationship, determine the impact data of the sensitive component fault on the fiber optic current transformer, classify the impact data, determine the weight of each type of impact data, and locate the fault point of the sensitive device based on the weight.

[0053] Step 5: Based on the located fault point, determine the production-related defect data of the fiber optic current transformer. Based on the production-related defect data, adjust the design and process flow related to the production of the fiber optic current transformer to obtain an optimized design and process flow related to the production of the fiber optic current transformer.

[0054] Among them, the characteristic parameters include: the state sensing parameters of the fiber optic current transformer, the environmental condition parameters, and the system output parameters.

[0055] Among them, the sensitive devices include: the primary and secondary components of the fiber optic current transformer.

[0056] Key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

[0057] Among them, production-related defect data includes: design defect data, manufacturing process data, and component selection defect data.

[0058] The method, before conducting the simulation experiment, also includes:

[0059] Determine the test conditions and test parameters;

[0060] Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer;

[0061] The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

[0062] The test conditions include: temperature conditions.

[0063] The implementation principle of the present invention is explained below. The implementation principle of the present invention is as follows: Figure 2 As shown, it includes:

[0064] Based on the mapping relationship between the state sensing parameters, environmental condition parameters, and system output parameters of fiber optic current transformers, state parameters characterizing the faults of sensitive components are proposed for temperature and vibration sensitive devices of fiber optic current transformers. The correspondence between fiber optic current transformers and key parameters such as temperature range, rate of change, vibration frequency, amplitude, and acceleration is established. Standardized temperature cycling and conducted vibration interference test methods are proposed to expose potential defects of the products and take corrective measures, thereby achieving increased reliability of fiber optic current transformers.

[0065] Specifically, it includes:

[0066] (1) Typical fault mechanisms of fiber optic current transformers under extreme environments:

[0067] Statistical analysis was conducted on fault cases of fiber optic current transformers in converter stations to establish the characteristic relationships between fault phenomena, state parameters, and environmental influencing factors of fiber optic current transformers.

[0068] This paper delves into the principles and structural characteristics of fiber optic current transformers. Based on both optical and electrical dimensions, it analyzes the fault phenomena of typical fiber optic current transformers in fault cases. From components such as the sensing head, fiber optic insulator, and acquisition unit, to core modules and devices such as sensing fiber, waveplate, polarizer, delay fiber, and modulator, it further analyzes the modules and devices that cause the faults.

[0069] (2) Reliability growth test of fiber optic current transformer:

[0070] This study investigates the technical requirements and relevant standards for temperature cycling tests and vibration tests of fiber optic current transformers. Based on field environmental conditions, technical specifications are determined, and research is conducted on testing methods for the entire unit and key components. A test method progressing from overall to local testing is employed to reproduce field fault phenomena of fiber optic current transformers.

[0071] A comprehensive test was conducted on the faulty products of the converter station. Appropriate test conditions and test parameters were selected to reproduce the field fault and determine the quantitative relationship between temperature, vibration and fiber optic current transformer measurement errors and health status quantities.

[0072] To locate the fault-sensitive components, local tests were conducted on the primary and secondary components of the fiber optic current transformer to obtain the impact of temperature and vibration applied individually to each component on the overall measurement error and health status of the fiber optic current transformer. Based on the influence weight, the fault-sensitive components were located.

[0073] like Figure 3 As shown, the primary components of an optical fiber current transformer include optical devices such as sensing fibers, mirrors, and λ / 4 waveplates, while the secondary components include devices such as polarizers, delay fibers, and modulators. In order to ultimately locate the fault to the key components in the optical fiber current transformer, a device-level testing method is carried out to analyze the impact of interference applied individually to each device on the overall measurement error and device status of the optical fiber current transformer. Based on the influence weight, the sensitive device that caused the fault is further located.

[0074] (3) Measures to improve the reliability of fiber optic current transformers:

[0075] Based on the degradation mechanism and transmission characteristics of the fiber optic current transformer's own structure, optical circuit, and electrical circuit core components, vibration and low-temperature reliability improvement measures were developed, and optimization measures were proposed from the aspects of principle design, production process, and device selection. The proposed vibration and low-temperature measures were tested using the test method in (2) to verify the effectiveness of the proposed measures.

[0076] In response to the low-temperature fault phenomenon of a fiber optic current transformer at a certain station, the faulty product dismantled on site was placed in a high and low temperature chamber for low-temperature testing while keeping the main body and electronic chassis configuration unchanged.

[0077] After a low-temperature test from room temperature to -45℃, the sample exhibited the following malfunctions:

[0078] The sample error drifted significantly as the temperature decreased. Under a primary current of 3000A, the error in each channel of the sample changed by -2.1%, -3.1%, and -2.6%, respectively (e.g., ...). Figure 4 As shown, the error calibration at room temperature is 0); during the low temperature test, the current in channel 2 of the test sample changes abruptly within the temperature range of -38℃ to -45℃ (channel 2 alarm occurs on site); the status quantity of the test sample decreases with the temperature and even sets the alarm.

[0079] To determine the specific location causing the offset, sudden change, and alarm of the fiber optic current transformer, low-temperature tests were conducted on the primary sensing fiber optic loop and modulation tank of the faulty fiber optic current transformer.

[0080] The following pattern can be observed:

[0081] 1) The overall and individual tests meet the requirements within the temperature range of 20℃ to -25℃.

[0082] 2) In the temperature range of -38℃ to -42.5℃, both the overall test and the individual test of the sensing ring showed sudden current changes, which basically confirmed that the sensing ring is the main part causing the sudden current changes.

[0083] 3) In the temperature range of -40℃ to -42.5℃, both the overall test and the individual test of the modulation tank resulted in an alarm on the electronic chassis status, which basically confirmed that the modulation tank was the main part causing the status alarm.

[0084] 4) The error of the modulation tank during the low-temperature test at 20℃ to -42.4℃ was positive (0.05% to 1.2%), and the error of the sensing ring during the low-temperature test at 20℃ to -42.4℃ was negative (0.05% to -0.5%). However, the overall error (0.05% to -6%) within the same temperature range was greater than the error of the two components during the low-temperature test, indicating that the error was not a linear sum of the errors of the two components. This suggests that the overall error is a comprehensive deviation caused by the entire optical system of the all-fiber CT under low-temperature conditions, and is the result of the combined effects of factors such as the optical circuit, the light drive intensity of the electronic chassis, and temperature compensation.

[0085] Based on the above analysis, the following reliability improvement measures are proposed: (1) To solve the problem of sudden current changes, it is necessary to focus on the research and rectification measures of the sensing loop; (2) To solve the problem of status alarm, it is necessary to focus on the research and rectification measures of the modulation tank; (3) To solve the problem of excessive overall error, it is necessary to investigate and rectify both components based on sorting out and adjusting the entire optical system loop, and to correct or compensate for the influence of temperature on the optical system. Reliability tests were repeated, and the product did not exhibit any further abnormalities at low temperatures. Therefore, the reliability improvement measures adopted have proven effective.

[0086] Specific improvement measures include:

[0087] (1) Rearrange the internal optical fibers of the sensing ring to release the stress caused by the interlacing and twisting of the sensing optical fibers, which can solve the fault of sudden error at low temperature.

[0088] (2) By reorganizing the optical fiber inside the modulation tank and reconfiguring the temperature compensation coefficient, the drift of the all-fiber CT error with temperature can be improved. The overall error can meet the Class 1 requirement, and some channels can reach Class 0.5.

[0089] (3) Replacing the modulation tank with a new one can reduce the drift of the all-fiber CT error with temperature, and some channels can achieve a level of 0.2. By reconfiguring the temperature compensation coefficient, it can be restored to the factory state and meet the requirements of the technical specifications.

[0090] (4) Adding a capacitor to the modulation cable CMB box for impedance matching can solve the fault of the Input Phase Deviation status being set and alarming at low temperature.

[0091] This invention conducts overall testing on faulty products in converter stations, selects appropriate test conditions and parameters, reproduces the field fault, and determines the quantitative relationship between temperature, vibration, and the measurement error and health status of fiber optic current transformers. To locate fault-sensitive components, local tests are conducted on the primary and secondary components of the fiber optic current transformer to study the impact of temperature and vibration applied individually to each component on the overall measurement error and health status of the fiber optic current transformer. Based on the influence weight, the sensitive component causing the fault is located. The invention proposes vibration-resistant structural optimization measures and low-temperature performance improvement measures for the fiber optic current transformer, and conducts temperature and vibration tests to verify the effectiveness of the reliability improvement measures, thereby achieving increased reliability of the fiber optic current transformer.

[0092] Example 2:

[0093] This invention also proposes an experimental system 200 for optimizing the production design and process flow of fiber optic current transformers, such as... Figure 5 As shown, it includes:

[0094] The data acquisition unit 201 is used to acquire a typical fault case dataset of the fiber optic current transformer, determine the typical fault phenomena of the fiber optic current transformer based on the typical fault case dataset, extract the feature parameters in the typical fault case dataset, and establish the mapping relationship between the feature parameters.

[0095] The feature extraction unit 202 is used to determine state parameters for characterizing the fault of the sensitive device of the fiber optic current transformer based on the mapping relationship between the determined typical fault phenomena of the fiber optic current transformer and the feature parameters.

[0096] The first simulation test unit 203 is used to conduct a simulation test on the typical fault phenomena of the fiber optic current transformer in a laboratory environment, so as to obtain the first simulation data of the typical fault phenomena of the fiber optic current transformer, extract the key parameters related to the state parameters in the first simulation data, and establish the correspondence between the key parameters and the fiber optic current transformer.

[0097] The second simulation test unit 204 is used to conduct a local fault simulation test on the sensitive device of the fiber optic current transformer in a laboratory environment to obtain second simulation data of the fault of the sensitive device of the fiber optic current transformer. Based on the second simulation data and the corresponding relationship, the impact data of the sensitive component fault on the fiber optic current transformer is determined, the impact data is classified, and the weight of each type of impact data is determined. Based on the weight, the fault point of the sensitive device is located.

[0098] The optimization unit 205 is used to determine the production-related defect data of the fiber optic current transformer based on the located fault point, and to obtain an optimized design and process flow related to the production of the fiber optic current transformer based on the production-related defect data.

[0099] Among them, the characteristic parameters include: the state sensing parameters of the fiber optic current transformer, the environmental condition parameters, and the system output parameters.

[0100] Among them, the sensitive devices include: the primary and secondary components of the fiber optic current transformer.

[0101] Key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

[0102] Among them, production-related defect data includes: design defect data, manufacturing process data, and component selection defect data.

[0103] The first simulation test unit 203 is also used for: before conducting the simulation test.

[0104] Determine the test conditions and test parameters;

[0105] Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer;

[0106] The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

[0107] The test conditions include: temperature conditions.

[0108] This invention uses simulation experiments to determine the production design and process flow for optimizing fiber optic current transformers. By producing fiber optic current transformers using the optimized production design and process flow of this invention, the reliability and performance of the produced fiber optic current transformers are improved.

[0109] Example 3:

[0110] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of the methods in the above embodiments.

[0111] Example 4:

[0112] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiments.

[0113] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0114] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0117] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0118] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A test method for optimizing the production design and process flow of fiber optic current transformers, characterized in that, The test method includes: Obtain a typical fault case dataset of fiber optic current transformers, determine typical fault phenomena of fiber optic current transformers based on the typical fault case dataset, extract feature parameters from the typical fault case dataset, and establish mapping relationships between the feature parameters. Based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the characteristic parameters, state parameters for characterizing the faults of the sensitive devices of the fiber optic current transformer are determined. In a laboratory environment, a simulation test is conducted on the typical fault phenomena of the fiber optic current transformer to obtain the first simulation data of the typical fault phenomena of the fiber optic current transformer. Key parameters related to the state parameters in the first simulation data are extracted, and the correspondence between the key parameters and the fiber optic current transformer is established. In a laboratory environment, a local fault simulation test is conducted on the sensitive device of the fiber optic current transformer to obtain second simulation data of the fault of the sensitive device. Based on the second simulation data and the corresponding relationship, the impact data of the sensitive component fault on the fiber optic current transformer is determined. The impact data is classified and the weight of each type of impact data is determined. Based on the weight, the fault point of the sensitive device is located. Based on the located fault points, the defect data related to the production of the fiber optic current transformer is determined. Based on the defect data related to the production, the design and process flow related to the production of the fiber optic current transformer are adjusted to obtain an optimized design and process flow related to the production of the fiber optic current transformer.

2. The test method according to claim 1, characterized in that, The characteristic parameters include: state sensing parameters of the fiber optic current transformer, environmental condition parameters, and system output parameters.

3. The test method according to claim 1, characterized in that, The sensitive device includes: the primary component and the secondary component of the fiber optic current transformer.

4. The test method according to claim 1, characterized in that, The key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

5. The test method according to claim 1, characterized in that, The production-related defect data includes: design defect data, manufacturing process data, and component selection defect data.

6. The test method according to claim 1, characterized in that, Before conducting the simulation experiment, the method further includes: Determine the test conditions and test parameters; Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer; The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

7. The test method according to claim 6, characterized in that, The test conditions include: temperature conditions.

8. A test system for optimizing the production design and process flow of fiber optic current transformers, characterized in that, The test system includes: The data acquisition unit is used to acquire a typical fault case dataset of the fiber optic current transformer, determine the typical fault phenomena of the fiber optic current transformer based on the typical fault case dataset, extract the feature parameters in the typical fault case dataset, and establish the mapping relationship between the feature parameters. The feature extraction unit is used to determine state parameters for characterizing the faults of the sensitive devices of the fiber optic current transformer based on the determined typical fault phenomena of the fiber optic current transformer and the mapping relationship between the feature parameters. The first simulation test unit is used to conduct simulation tests on typical fault phenomena of the fiber optic current transformer in a laboratory environment, so as to obtain the first simulation data of typical fault phenomena of the fiber optic current transformer, extract the key parameters related to the state parameters in the first simulation data, and establish the correspondence between the key parameters and the fiber optic current transformer. The second simulation test unit is used to conduct a local fault simulation test on the sensitive device of the fiber optic current transformer in a laboratory environment to obtain second simulation data of the fault of the sensitive device of the fiber optic current transformer. Based on the second simulation data and the corresponding relationship, the impact data of the sensitive component fault on the fiber optic current transformer is determined, the impact data is classified, and the weight of each type of impact data is determined. Based on the weight, the fault point of the sensitive device is located. The optimization unit is used to determine the production-related defect data of the fiber optic current transformer based on the located fault point, and to obtain an optimized design and process flow related to the production of the fiber optic current transformer based on the production-related defect data.

9. The testing system according to claim 8, characterized in that, The characteristic parameters include: state sensing parameters of the fiber optic current transformer, environmental condition parameters, and system output parameters.

10. The testing system according to claim 8, characterized in that, The sensitive device includes: the primary component and the secondary component of the fiber optic current transformer.

11. The testing system according to claim 8, characterized in that, The key parameters include: temperature range and rate of change, vibration frequency, amplitude, and acceleration.

12. The testing system according to claim 8, characterized in that, The production-related defect data includes: design defect data, manufacturing process data, and component selection defect data.

13. The testing system according to claim 8, characterized in that, Before conducting the simulation test, the first simulation test unit is also used for: Determine the test conditions and test parameters; Determine the quantitative relationship between the temperature and vibration of the fiber optic current transformer and the measurement error and health status of the fiber optic current transformer; The aforementioned test conditions, test parameters, and quantitative relationships serve as the basis for conducting the simulation test.

14. The testing system according to claim 13, characterized in that, The test conditions include: temperature conditions.

15. A computer device, characterized in that, include: One or more processors; A processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method described in any one of claims 1-7 is implemented.

16. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method as described in any one of claims 1-7.

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