Method and system for early warning and positioning optical loop fault of optical current transformer

Abstract

The invention discloses a fault early warning and positioning method and system for an optical circuit of an optical current transformer, and belongs to the technical field of optical current transformers. The method comprises the following steps: acquiring key state quantity of an optical loop of the lithium niobate modulation type optical current transformer; performing normalization calculation on the key state quantity to obtain a calculation result; and based on the calculation result, carrying out fault identification and positioning on the optical loop of the lithium niobate modulation type optical current transformer, and sending out fault early warning. According to the invention, abnormal early warning and positioning of the optical loop light source, the PINFET and the optical fiber loop of the lithium niobate modulation type optical current transformer are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of optical current transformers, and more specifically, to a method and system for early warning and positioning of an optical circuit fault of an optical current transformer. Background Art

[0002] At present, the research on optical CT is mainly focused on improving the weather resistance and reliability of the product. It is difficult to meet the needs of intelligent operation and maintenance of the converter station in terms of key operation data collection, operation status evaluation, and especially fault prediction and location through intelligent algorithms. Most converter stations do not carry out systematic collection of state quantities. When a fault occurs, the operation and maintenance personnel need to export the fault data from the device and send it to the manufacturer for data analysis. There are many disadvantages such as large workload and low efficiency of operation and maintenance personnel, small amount of data, inability to accurately locate the fault, slow fault handling efficiency, and inability to avoid power outages. Some converter stations have carried out a small amount of state quantity data collection, but have not conducted comprehensive analysis and evaluation of the data, and the data utilization efficiency is low. Some converter stations have jointly built independent monitoring systems with manufacturers that only support their own products. They only read and display data, and do not involve fault analysis and location and emergency handling. There are also problems such as system closure and weak functions, which are no longer suitable for the application environment of existing digital converter stations.

[0003] The existing lithium niobate modulated optical current transformer optical circuit fault warning is based on the LSTM and XGBoost operating status intelligent warning algorithm. The shortcomings of the related methods mainly include: 1) Small model algorithms such as XGBoost and LSTM are mainly used in small sample scenarios, and have good effects on the prediction of the operating status of a single device, but for multi-sample scenarios such as the comprehensive analysis of the status of multiple devices, the efficiency of the algorithm is difficult to improve; 2) The input of small model algorithms such as XGBoost and LSTM is mainly based on electrical quantity data, and does not support multi-modal data such as images and thermal power; 3) The accuracy of the small model algorithm results can generally reach 85-90%, which is difficult to improve further; 4) The small model algorithm only provides results, and the description of the results depends on the analysis of experts. Summary of the invention

[0004] In view of the above problems, the present invention proposes a method for early warning and positioning of an optical circuit fault of an optical current transformer, comprising:

[0005] Collect key state quantities of the optical circuit of lithium niobate modulated optical current transformer;

[0006] Performing normalization calculation on the key state quantity to obtain a calculation result;

[0007] Based on the calculation results, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued.

[0008] Optional, key state quantities include: light source drive current and light intensity level.

[0009] Optionally, performing normalization calculation on the key state quantity includes:

[0010] Normalized calculation of light source driving current and normalized calculation of light intensity level.

[0011] Optionally, the calculation results include: a real-time value of the light source driving current and a real-time value of the light intensity level.

[0012] Optionally, based on the calculation result, optical circuit fault identification and location of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0013] Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount;

[0014] Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

[0015] Optionally, based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer is performed, and a fault warning is issued, including:

[0016] If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued;

[0017] If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued;

[0018] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source;

[0019] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure;

[0020] If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

[0021] Optional, yellow code warning, specifically: provide recommendations for enhanced monitoring and locating the cause of the fault based on annual maintenance.

[0022] Optional, red code warning, specifically: giving suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

[0023] Optionally, during fault identification and location, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, a fault similarity coefficient determination is added.

[0024] On the other hand, the present invention also provides a system for early warning and positioning of optical circuit faults of optical current transformers, comprising:

[0025] A data acquisition unit, used to collect key state quantities of an optical circuit of a lithium niobate modulated optical current transformer;

[0026] A calculation unit, used to perform normalization calculation on the key state quantity and obtain a calculation result;

[0027] The output unit is used to identify and locate the optical circuit fault of the lithium niobate modulated optical current transformer based on the calculation result, and issue a fault warning.

[0028] Optional, key state quantities include: light source drive current and light intensity level.

[0029] Optionally, performing normalization calculation on the key state quantity includes:

[0030] Normalized calculation of light source driving current and normalized calculation of light intensity level.

[0031] Optionally, the calculation results include: a real-time value of the light source driving current and a real-time value of the light intensity level.

[0032] Optionally, based on the calculation result, optical circuit fault identification and location of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0033] Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount;

[0034] Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

[0035] Optionally, based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer is performed, and a fault warning is issued, including:

[0036] If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued;

[0037] If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued;

[0038] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source;

[0039] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure;

[0040] If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

[0041] Optional, yellow code warning, specifically: provide recommendations for enhanced monitoring and locating the cause of the fault based on annual maintenance.

[0042] Optional, red code warning, specifically: giving suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

[0043] Optionally, when the output unit performs fault identification and location, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, a fault similarity coefficient judgment is added.

[0044] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0045] a processor for executing one or more programs;

[0046] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0047] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention provides a method for early warning and positioning of an optical circuit fault of an optical current transformer, comprising: collecting key state quantities of an optical circuit of a lithium niobate modulated optical current transformer; performing normalized calculation on the key state quantities to obtain calculation results; based on the calculation results, performing fault identification and positioning of the optical circuit of the lithium niobate modulated optical current transformer, and issuing a fault early warning. The present invention realizes abnormal early warning and positioning of the optical circuit light source, PINFET and optical fiber circuit of the lithium niobate modulated optical current transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a flow chart of the method of the present invention;

[0051] Figure 2 A flowchart of an embodiment of the method of the present invention;

[0052] Figure 3 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0053] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0054] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0055] Embodiment 1:

[0056] The present invention proposes a method for early warning and positioning of optical circuit faults of optical current transformers, such as Figure 1 As shown, including:

[0057] Step 1, collecting key state quantities of the optical circuit of the lithium niobate modulated optical current transformer;

[0058] Performing normalization calculation on the key state quantity to obtain a calculation result;

[0059] Based on the calculation results, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued.

[0060] Step 2: Key state quantities include: light source driving current and light intensity level.

[0061] Step 3, performing normalization calculation on the key state quantity, including:

[0062] Normalized calculation of light source driving current and normalized calculation of light intensity level.

[0063] The calculation results include: the real-time value of the light source driving current and the real-time value of the light intensity level.

[0064] Wherein, based on the calculation result, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0065] Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount;

[0066] Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

[0067] Among them, based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0068] If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued;

[0069] If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued;

[0070] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source;

[0071] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure;

[0072] If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

[0073] Among them, the yellow code warning specifically means: giving suggestions for strengthening monitoring and locating the cause of the fault based on annual maintenance.

[0074] Among them, the red code warning specifically provides suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

[0075] Among them, during fault identification and location, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, the fault similarity coefficient judgment is added.

[0076] The present invention is further described below in conjunction with specific implementation cases:

[0077] Example process such as Figure 2 As shown, specifically including:

[0078] Lithium niobate modulated optical current transformer optical circuit state quantity acquisition:

[0079] The basic platform collects monitoring data from measuring equipment and determines whether the state quantity of the measuring equipment exceeds the limit according to the threshold judgment method of the state quantity of the measuring equipment.

[0080] The present invention collects two key state quantities, namely, the light source driving current and the light intensity level.

[0081] Note: Different manufacturers have different names for the PinFET received light intensity. Some manufacturers call it light intensity level, some manufacturers call it relative optical power, and some manufacturers call it optical line loss. In essence, it is a type of measurement state quantity.

[0082] Normalized calculation method of state quantity:

[0083] The driving current normalization algorithm is as follows:

[0084] 1) Driving current percentage I m As shown in formula (1):

[0085]

[0086] Among them: NARI Relay Protection I m异常值 150mA, Shanghai Kangkuo I m异常值 It is 120mA, Xuji has no driving current indicator.

[0087] 2) Driving current change rate △I m As shown in formula (2):

[0088] ΔI m =I m1 %-I m0 % (2)

[0089] Where: ΔI m1 is the current value of the driving current, ΔI m0 It is the historical value of driving current. Xuji has no driving current indicator.

[0090] 3) Driving current change time △t Im As shown in formula (3):

[0091]

[0092] in: Indicates the moment when the drive current increases to the maximum value, Indicates the start time when the drive current starts to rise from the normal value.

[0093] Light intensity level normalization algorithm

[0094] 1) Light intensity level percentage u m As shown in formula (4):

[0095]

[0096] Among them: NARI relay protection takes the light intensity level value, u m异常值 is 1000mV; Xu Ji takes the relative optical power value, u m异常值 is 1500, Shanghai Kangkuo takes the optical line loss value, and there is no need to calculate it through formula (4).

[0097] 2) Light intensity level change rate △u m As shown in formula (5):

[0098] Δu m =u m1 %-u m0 % (5)

[0099] Where: Δu m1 is the current value of the light intensity level, Δu m0 is the historical value of the light intensity level. NARI Relay takes the light intensity level value, XUJI takes the relative optical power value, and Shanghai Kangkuo takes the optical line loss value.

[0100] 3) Light intensity level change time △t um As shown in formula (6):

[0101]

[0102] in: Indicates the moment when the light intensity level drops to the minimum value, Indicates the time when the light intensity level starts to decrease from the normal value.

[0103] 4) Light intensity level reduction percentage u mrest % (light intensity is significantly reduced) as shown in formula (7):

[0104]

[0105] Among them: Nanrui relay protection light intensity level was reduced by 70%; Kangkuo optical line loss was reduced by 88%; Xuji relative optical power was reduced by 99%.

[0106] Optical circuit warning and positioning method of lithium niobate modulated optical current transformer:

[0107] The optical circuit warning and positioning method of lithium niobate modulated optical current transformer has two main criteria;

[0108] Among them, the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% / month or 20% / year or 35% / 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% / year or 50% / 2 years. At this time, the defect diagnosis is "optical device degradation or abnormal increase in optical circuit loss", the status assessment is assigned a "yellow code", and the disposal suggestion is "strengthen monitoring and locate the cause in combination with annual maintenance."

[0109] When the driving current of the optical light source increases to the maximum and the light intensity level drops to the minimum or falls below the lower limit of the alarm value, the status assessment is assigned a "red code" and the disposal recommendation is "replace the spare channel, and replace the faulty board or optical cable during the annual inspection."

[0110] When the light source driving current increases to the maximum or the light intensity level decreases to the minimum for ≥ 1 hour, the fault location is judged to be "light source failure".

[0111] When the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, the fault location is judged to be "PINFET failure".

[0112] When the light intensity level drops by more than the ratio expressed in formula (7) and the ambient temperature is below 0°C, the fault location is judged to be "icing of the optical cable in the pipe or increase in optical circuit loss".

[0113] Fault (defect) similarity coefficient:

[0114] When the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, the fault (defect) similarity coefficient judgment is added, as shown in formula (8):

[0115]

[0116] Among them: n0 represents the main two types of criteria that meet the optical circuit early warning and positioning method of lithium niobate modulated optical current transformer, and n1 represents the total number of abnormal characteristics of the fault defect.

[0117] Using semantic big model technology, semantic generation of equipment failure analysis conclusions and disposal decision suggestions is achieved:

[0118] The abnormal judgment and results of the optical current transformer can be realized through semantic large model technologies such as ChatGPT and ChatGLM2, and the text of the disposal decision can be automatically generated to provide operation and maintenance personnel.

[0119] a) Triggering of the semantic big model

[0120] When an abnormality occurs in a device, the basic platform generates Figure 2 The basic platform actively calls the AI ​​module interface and pushes basic fault information. Example of basic fault information: "Fault time: 2023-06-06 16:01:14 (corresponding to the alarm time content), fault device: 5654 group B phase unbalanced current transformer WB.Z5.Z54-T1 (corresponding to the event description), fault event level monitoring (corresponding to the event level)"

[0121] b) Artificial Intelligence Entity Logical Judgment

[0122] When the artificial intelligence receives the trigger information from the basic platform, Figure 1 The reasoning logic shown is used to carry out fault analysis due to degradation of error performance or temperature characteristics.

[0123] Among them, temperature characteristic degradation and error performance degradation are two types of failures of measuring equipment. The similarity is that both have abnormal errors, but the difference is that temperature performance degradation is highly correlated with temperature changes.

[0124] Based on the fault event information, the artificial intelligence entity extracts the equipment ID (WB.Z5.Z54-T1), and calls up the daily average error, temperature-error correlation coefficient, normal light source driving current, and light intensity level (or voltage peak) to carry out defect diagnosis and status assessment, and put forward disposal decision recommendations.

[0125] Taking the degradation of fiber optic loop temperature performance as an example,

[0126] When the daily average value of the error is greater than 1.5 and less than 2.5, the temperature-error correlation coefficient is greater than 0.6 but less than 0.8, the light source drive current is normal, and the light intensity level (or voltage peak) is normal, the following results are generated:

[0127] Defect diagnosis types are: optical fiber loop temperature performance degradation;

[0128] Status assessment: yellow code;

[0129] Suggestions: Strengthen monitoring and locate the cause in conjunction with annual maintenance.

[0130] When the daily average error is greater than 2.5, the temperature-error correlation coefficient is greater than 0.8, and the LED current and input voltage peak values ​​are normal, the following results are generated:

[0131] Fault location: sensing fiber or wave plate;

[0132] Status assessment: red code;

[0133] Disposal suggestion: Replace the spare channel and replace the sensor ring or polarization-maintaining fiber if necessary.

[0134] c) Large model generates disposal decision suggestions

[0135] The analysis results of fault cause analysis and disposal decision suggestions are called up from the artificial intelligence body.

[0136] c.1 Failure Cause Analysis

[0137] For yellow-coded equipment, the text is defect diagnosis text + fault feature text; for red-coded equipment, the text is fault location text + fault feature text.

[0138] c.2 Disposal decision recommendations

[0139] The recommended disposal decision for yellow and red code devices is abnormality level + disposal decision recommendation.

[0140] Embodiment 2:

[0141] The present invention also proposes a system 200 for early warning and positioning of optical circuit faults of optical current transformers, such as Figure 3 As shown, including:

[0142] The data acquisition unit 201 is used to collect key state quantities of the optical circuit of the lithium niobate modulated optical current transformer;

[0143] A calculation unit 202 is used to perform normalization calculation on the key state quantity to obtain a calculation result;

[0144] The output unit 203 is used to identify and locate the optical circuit fault of the lithium niobate modulated optical current transformer based on the calculation result, and issue a fault warning.

[0145] Among them, the key state quantities include: light source driving current and light intensity level.

[0146] The normalization calculation of the key state quantity includes:

[0147] Normalized calculation of light source driving current and normalized calculation of light intensity level.

[0148] The calculation results include: the real-time value of the light source driving current and the real-time value of the light intensity level.

[0149] Wherein, based on the calculation result, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0150] Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount;

[0151] Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

[0152] Among them, based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including:

[0153] If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued;

[0154] If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued;

[0155] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source;

[0156] If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure;

[0157] If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

[0158] Among them, the yellow code warning specifically means: giving suggestions for strengthening monitoring and locating the cause of the fault based on annual maintenance.

[0159] Among them, the red code warning specifically provides suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

[0160] Among them, when the output unit performs fault identification and positioning, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, the fault similarity coefficient judgment is added.

[0161] This invention generates treatment decision suggestions through a large model. Compared with traditional diagnostic methods, it not only provides data, but also realizes the analysis of the data, reducing the professional requirements for users.

[0162] Embodiment 3:

[0163] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0164] Embodiment 4:

[0165] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. 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 embodiment.

[0166] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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 codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0167] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0168] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0169] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0170] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0171] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for early warning and positioning of optical circuit faults of optical current transformers, characterized in that: include: Collect key state quantities of the optical circuit of lithium niobate modulated optical current transformer; Performing normalization calculation on the key state quantity to obtain a calculation result; Based on the calculation results, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued.

2. The method according to claim 1, characterized in that The key state quantities include: light source driving current and light intensity level.

3. The method according to claim 1, characterized in that: The normalizing calculation of the key state quantity includes: Normalized calculation of light source driving current and normalized calculation of light intensity level.

4. The method according to claim 1, characterized in that: The calculation results include: a real-time value of the light source driving current and a real-time value of the light intensity level.

5. The method according to claim 1, characterized in that Based on the calculation result, the optical circuit fault identification and location of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including: Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount; Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

6. The method according to claim 5, characterized in that Based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including: If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued; If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued; If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source; If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure; If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

7. The method according to claim 1, characterized in that The yellow code warning specifically provides suggestions for strengthening monitoring and locating the cause of the fault based on annual maintenance.

8. The method according to claim 1, characterized in that The red code warning specifically provides suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

9. The method according to claim 1, characterized in that: During fault identification and location, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, the fault similarity coefficient judgment is added.

10. A system for early warning and positioning of optical circuit faults of optical current transformers, characterized in that: include: A data acquisition unit, used to collect key state quantities of an optical circuit of a lithium niobate modulated optical current transformer; A calculation unit, used to perform normalization calculation on the key state quantity and obtain a calculation result; The output unit is used to identify and locate the optical circuit fault of the lithium niobate modulated optical current transformer based on the calculation result, and issue a fault warning.

11. The system according to claim 10, characterized in that The key state quantities include: light source driving current and light intensity level.

12. The system according to claim 10, characterized in that The normalizing calculation of the key state quantity includes: Normalized calculation of light source driving current and normalized calculation of light intensity level.

13. The system according to claim 10, characterized in that The calculation results include: a real-time value of the light source driving current and a real-time value of the light intensity level.

14. The system according to claim 10, characterized in that Based on the calculation result, the optical circuit fault identification and location of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including: Determine the percentage of the real-time value of the light source driving current to the warning value and the increment, and determine the percentage of the real-time value of the light intensity level to the warning value and the reduction amount; Based on the semantic big model, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are carried out according to the percentage and increment of the real-time value of the light source driving current and the warning value, and the percentage and reduction of the real-time value of the light intensity level and the warning value, and a fault warning is issued.

15. The system according to claim 14, characterized in that Based on the semantic big model, according to the percentage and increment of the real-time value of the light source driving current and the warning value, the percentage and reduction of the real-time value of the light intensity level and the warning value, the optical circuit fault identification and positioning of the lithium niobate modulated optical current transformer are performed, and a fault warning is issued, including: If it is determined that the percentage of the real-time value of the light source driving current to the warning value is greater than 80% or the increase is greater than 10% per month / 20% per year / 35% every 2 years, and the percentage of the real-time value of the light intensity level to the warning value is less than 50% or the decrease is greater than 30% per year / 50% every 2 years, a diagnosis of optical device degradation or abnormal increase in optical circuit loss is given, and a yellow code warning is issued; If it is determined that the optical light source driving current increases to the maximum and the light intensity level decreases to the minimum or falls below the lower limit of the alarm value, a red code warning is issued; If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is ≥ 1 hour, then the fault location is judged to be the light source and the fault is the failure of the light source; If it is determined that the time for the light source driving current to increase to the maximum or the light intensity level to decrease to the minimum is less than 1 hour, then it is determined that the fault location is the PINFET and the fault is the PINFET failure; If it is determined that the light intensity level drops by more than a preset ratio and the ambient temperature is below 0°C, the fault location is determined to be the optical cable passing through the pipe, and the fault is either icing of the optical cable passing through the pipe or increased optical circuit loss.

16. The system according to claim 10, characterized in that The yellow code warning specifically provides suggestions for strengthening monitoring and locating the cause of the fault based on annual maintenance.

17. The system according to claim 10, characterized in that The red code warning specifically provides suggestions for replacing spare channels and replacing faulty boards or optical cables during annual inspections.

18. The system according to claim 10, characterized in that When the output unit performs fault identification and location, if the optical current transformer part meets the temperature performance degradation or measurement performance degradation abnormality, the fault similarity coefficient judgment is added.

19. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 9 is implemented.

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