A remote diagnosis method and system for zero impedance lightning arrester fault

Abstract

The present invention relates to the field of remote monitoring technology for lightning arresters, and is a remote diagnosis method and system for zero-impedance lightning arrester faults. The specific method includes: performing the first round of operation stability diagnosis of the zero-impedance lightning arrester; evaluating and calculating the lightning strike withstand capacity value of the zero-impedance lightning arrester; further screening the zero-impedance lightning arrester and executing the corresponding circuit protection strategy; calculating the environmental interference coefficient and the electrical interference coefficient; constructing a real-time interference coupling model when the zero-impedance lightning arrester is working; performing the second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time series set, and synchronously outputting the diagnosis result and the maintenance suggestion of the zero-impedance lightning arrester. The present invention solves the problem in the prior art that the online remote monitoring of the zero-impedance lightning arrester is affected by the environmental and electrical interference factors compared to the offline detection, resulting in a high false alarm rate of the monitoring data.

Description

Technical Field

[0001] The invention relates to the technical field of remote monitoring of lightning arresters, and relates to a remote diagnosis method and system for zero-impedance lightning arrester faults. Background Art

[0002] Lightning arresters are important components in power systems used to protect electrical equipment from lightning strikes and overvoltage. They prevent damage to power equipment by lightning strikes by guiding lightning currents to the ground, thereby improving the reliability and stability of the system. With the continuous development of power systems, higher requirements are placed on the protection performance of lightning arresters. At the same time, compared with traditional methods of regular maintenance of lightning arresters and offline direct lightning strike testing, online remote diagnosis will be affected by environmental and electrical interference factors. How to improve the accuracy of remote diagnosis technology of lightning arresters has become a difficult problem that the industry has gradually paid attention to.

[0003] In the existing disclosed invention technologies, for example, the patent with application publication number CN106501631A discloses a discharge current monitoring device and method for a high-voltage DC circuit breaker parallel lightning arrester, which is characterized in that it includes at least one radio current sensing and recording device, all of which are connected to a data acquisition unit by wireless means, so that the collected instantaneous current data waveform of the measuring point is wirelessly transmitted to the data acquisition unit, and the data acquisition unit is connected to a computing and analysis platform by wireless or wired means, so that the computing and analysis platform analyzes and processes the aforementioned instantaneous current data waveform and gives a prompt when an abnormality is found.

[0004] The above patent only focuses on the real-time monitoring of current data, without considering the impact of environmental interference and electrical interference on the performance of the lightning arrester, resulting in inaccurate evaluation of the lightning arrester under actual operating conditions. Summary of the invention

[0005] The technical problem to be solved by the present invention is that in the prior art, online remote monitoring of zero-impedance lightning arresters is affected by environmental and electrical interference factors compared to offline detection, resulting in a high false alarm rate of monitoring data. A remote diagnosis method and system for zero-impedance lightning arrester faults are proposed.

[0006] In order to achieve the above object, the technical solution of a zero impedance arrester fault remote diagnosis method of the present invention comprises the following steps:

[0007] S1: Collect the initial operation data of the zero-impedance arrester in thunderstorm weather and conduct the first round of operation stability diagnosis of the zero-impedance arrester;

[0008] S2: Evaluate and calculate the lightning strike withstand capability of the zero-impedance arrester based on the operation stability diagnosis results;

[0009] S3: judging the arrester withstand threshold value according to the lightning withstand capacity value, further screening the zero-impedance arrester, and executing a corresponding circuit protection strategy;

[0010] S4: collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively to calculate the environmental interference coefficient and the electrical interference coefficient;

[0011] S5: Construct a real-time interference coupling model of the zero impedance arrester when it is working according to the coupling of the environmental interference coefficient and the electrical interference coefficient;

[0012] S6: extract the real-time interference coupling factor in the real-time interference coupling model, form an interference coupling factor time series set, and perform a second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time series set, and synchronously output the diagnosis result and the maintenance suggestion of the zero-impedance lightning arrester.

[0013] Specifically, S1 includes the following specific steps:

[0014] S11: deploying a sensor network on the current path of the arrester to collect initial operation data of the zero-impedance arrester in thunderstorm weather, wherein the initial operation data includes: obtaining arc current waveform data through a current transformer and obtaining arc voltage waveform data through a voltage sensor;

[0015] The arc current waveform data includes: the current waveform data between the varistor and the discharge gap , Current waveform data between the varistor and the grounding system And the current waveform data between the discharge gap and the insulating material ;

[0016] The arc voltage waveform data includes: voltage waveform data between the varistor and the discharge gap , Voltage waveform data between the varistor and the grounding system And the voltage waveform data between the discharge gap and the insulating material ;

[0017] S12: Import the arc current waveform data into the arc current intensity value calculation strategy to calculate the arc current intensity value of each component of the lightning arrester to form an arc current intensity set , , where the arc current intensity value calculation strategy is as follows:

[0018] ;

[0019] Where T is the duration of a lightning strike cycle, and t represents the monitoring time point;

[0020] is the arc current intensity value, a is the subscript, a=1,2,3;

[0021] is the aging weight function of the zero impedance arrester, , m is the cumulative number of lightning strikes after the zero impedance arrester is installed; M is the factory rated number of lightning strikes of the zero impedance arrester;

[0022] S13: Import the arc voltage waveform data into the arc voltage intensity value calculation strategy to calculate the arc voltage intensity value of each component of the arrester to form an arc voltage intensity set , , where the arc voltage intensity value calculation strategy is as follows:

[0023] ;

[0024] in, is the arc voltage intensity value, a is the subscript;

[0025] S14: Extract arc current intensity set and arc voltage intensity set , and calculate the arc phase stability. The specific calculation strategy is:

[0026] ;

[0027] in, The arc voltage intensity set And the arc current intensity set The mean value of arc voltage intensity and arc current intensity of the data volume;

[0028] They represent the real part of the mean value of arc voltage intensity and the mean value of arc current intensity respectively;

[0029] They represent the phase angle parts of the mean value of arc voltage intensity and the mean value of arc current intensity respectively.

[0030] Specifically, S1 also includes the following specific steps:

[0031] S15: Extract arc phase stability and preset stability level handover value ;

[0032] S16: Perform the operation stability diagnosis of the zero impedance arrester, as follows:

[0033] When the arc phase stability When , it is judged that the performance stability level of the zero-impedance lightning arrester in this lightning strike round is a general stability level;

[0034] When the arc phase stability or When , it is judged that the performance stability level of the zero-impedance arrester in this lightning strike round is unstable;

[0035] S17: Screening zero-impedance lightning arresters whose performance stability level is an unstable level, and marking the zero-impedance lightning arresters of the unstable level as potential abnormalities to form a set of potential abnormal lightning arresters.

[0036] Specifically, S2 includes the following specific steps:

[0037] S21: extracting a set of potential abnormal lightning arresters, identifying the geographical location of the abnormal lightning arresters, and arranging the neighboring lightning arresters around the abnormal lightning arresters in ascending order according to the straight-line distance between the lightning arresters;

[0038] S22: synchronously screening the five neighboring lightning arresters closest to each abnormal lightning arrester to form a neighboring lightning arrester set;

[0039] S23: collecting the lightning energy value, number of lightning strikes and duration of a single lightning strike received by each lightning arrester in the neighboring lightning arrester set in the current lightning strike round;

[0040] S24: According to S23, the lightning strike withstand capacity value P of the abnormal lightning arrester is evaluated and calculated. The specific evaluation strategy is: ;

[0041] in, They are the contribution rate of lightning energy and the contribution rate of lightning duration respectively;

[0042] is the lightning energy value received by the nth neighboring arrester; is the lightning energy value received by the abnormal lightning arrester;

[0043] is the duration of the lightning strike of the nth neighboring arrester; Duration of the lightning strike to the abnormal arrester;

[0044] Indicates the straight-line distance between the nth neighboring lightning arrester and the abnormal lightning arrester.

[0045] Specifically, the arrester withstand threshold determination in S3 includes: presetting the lightning withstand threshold of the abnormal arrester;

[0046] When the lightning strike withstand capacity value P of the abnormal lightning arrester is less than the lightning strike withstand threshold, the strong breaking device of the lightning arrester is triggered to immediately cut off the circuit;

[0047] When the lightning strike withstand capability value P of the abnormal lightning arrester is greater than or equal to the lightning strike withstand threshold, it is determined that the lightning arrester meets the preconditions for the second fault diagnosis, and step S4 is continued.

[0048] Specifically, S4 includes the following specific steps:

[0049] S41: Obtain historical feature data of the zero-impedance arrester in historical lightning strikes, establish and train a data-driven model based on the historical feature data, and output the historical feature data with the highest similarity to the current lightning strike through the data-driven model; wherein the historical feature data includes: historical operation data, historical environmental data, and historical electrical data;

[0050] S42: Real-time collection of environmental data and electrical data of the zero-impedance arrester, the environmental data including: surface humidity average data and surface temperature average data of the zero-impedance arrester; the electrical data including: the total number Q of high-frequency electrical appliances in operation around the zero-impedance arrester, the electromagnetic interference frequency emitted by each high-frequency electrical appliance in operation And the straight-line distance between each high-frequency electrical appliance in operation and the zero-impedance arrester;

[0051] S43: Extract the surface humidity data and surface temperature data of the zero impedance arrester, and calculate the real-time temperature-humidity ratio of the zero impedance arrester , wherein the real-time temperature-humidity ratio is the ratio of the surface temperature mean data to the surface humidity mean data;

[0052] S44: Extract the historical surface humidity mean data and historical surface temperature mean data of the zero impedance arrester from the historical feature data with the highest similarity, and calculate the historical feature temperature-humidity ratio , wherein the historical characteristic temperature-humidity ratio is the ratio of the historical surface temperature mean data to the historical surface humidity mean data;

[0053] S45: Importing the temperature-humidity ratio data into the environmental operation interference coefficient calculation strategy of the zero impedance arrester, the environmental operation interference coefficient calculation strategy is as follows:

[0054] ;

[0055] in, is the electrical operation interference coefficient; It indicates the insulation resistance value of the zero impedance arrester at the monitoring time point t; Indicates the insulation resistance value of the zero-impedance lightning arrester in the historical feature data with the highest similarity.

[0056] Specifically, S4 also includes the following specific steps:

[0057] S46: Importing the electrical data into the electrical operation interference coefficient calculation strategy of the zero impedance arrester, wherein the electrical operation interference coefficient calculation strategy is as follows:

[0058] ;

[0059] in, is the electrical operation interference coefficient; They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical equipment and the zero-impedance arrester;

[0060] They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical appliance and the zero-impedance arrester in the historical feature data with the highest similarity;

[0061] Indicates the average value of the electromagnetic interference frequency emitted by each running high-frequency electrical appliance in the historical feature data with the highest similarity;

[0062] Indicates the working residual voltage of the zero impedance arrester; Indicates the working residual voltage of the zero-impedance lightning arrester in the historical feature data with the highest similarity.

[0063] Specifically, in S5, the real-time interference coupling model is specifically:

[0064] ;

[0065] in, is the real-time interference coupling factor, are the coupling proportional coefficients of the environmental operation interference coefficient and the electrical operation interference coefficient, .

[0066] Specifically, S6 includes the following specific steps:

[0067] S61: extracting the real-time interference coupling factor GR in the real-time interference coupling model to form a time series set of interference coupling factors;

[0068] S62: Perform a second fault diagnosis of the zero impedance arrester according to the interference coupling factor time series set, wherein the second fault diagnosis strategy is specifically:

[0069] In three consecutive lightning strikes, when the real-time interference coupling factor GR is less than or equal to, or greater than once or twice in a row, the fault risk level 1 interference threshold When the abnormal arrester is detected, the potential abnormal mark of the abnormal arrester is eliminated, and the zero impedance arrester is continued to be monitored;

[0070] S63: The second fault diagnosis strategy further includes:

[0071] In three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk level 1 interference threshold for three consecutive times And less than or equal to the fault risk secondary interference threshold When the abnormal arrester's actual working performance is judged to be disturbed, the potential abnormal mark is upgraded to a working fault mark, and a zero-impedance arrester offline maintenance reminder is simultaneously issued to the maintenance personnel.

[0072] Specifically, the second fault diagnosis strategy also includes: in three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk secondary interference threshold for the first time When the arrester is triggered, the forced breaking device will cut off the circuit immediately;

[0073] After the forced-break device of the arrester is triggered, the arrester's major fault diagnosis result is synchronously popped up on the remote diagnosis interactive interface of the zero-impedance arrester, and a reminder to replace the zero-impedance arrester is sent to the maintenance personnel.

[0074] In addition, a zero-impedance arrester fault remote diagnosis system of the present invention includes the following modules:

[0075] The first round of diagnosis module, lightning strike tolerance assessment module, tolerance threshold judgment module, interference coefficient calculation module, interference coupling model construction module, and the second fault diagnosis module;

[0076] The first round diagnosis module is used to collect the initial operation data of the zero impedance arrester in thunderstorm weather and perform the first round operation stability diagnosis of the zero impedance arrester;

[0077] The lightning strike withstand capability evaluation module evaluates and calculates the lightning strike withstand capability value of the zero impedance arrester according to the operation stability diagnosis result;

[0078] The withstand threshold judgment module judges the withstand threshold of the arrester according to the lightning withstand capacity value, further screens the zero-impedance arrester, and executes the corresponding circuit protection strategy;

[0079] The interference coefficient calculation module is used to collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively, to calculate the environmental interference coefficient and the electrical interference coefficient;

[0080] The interference coupling model building module builds a real-time interference coupling model when the zero-impedance lightning arrester is working according to the environmental interference coefficient and the electrical interference coefficient coupling;

[0081] The second fault diagnosis module is used to extract the real-time interference coupling factor in the real-time interference coupling model, form an interference coupling factor time series set, and perform a second fault diagnosis of the zero-impedance lightning arrester based on the interference coupling factor time series set, and synchronously output the diagnosis results and maintenance recommendations for the zero-impedance lightning arrester.

[0082] A storage medium stores instructions, and when a computer reads the instructions, the computer is enabled to execute the method for remotely diagnosing a zero-impedance lightning arrester fault.

[0083] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned remote diagnosis method for zero-impedance lightning arrester fault is implemented.

[0084] Compared with the prior art, the technical effects of the present invention are as follows:

[0085] 1. The present invention accurately identifies potential fault sources and operating abnormalities by monitoring the arc phase stability of the zero-impedance lightning arrester under actual working conditions. However, leakage current monitoring usually requires a certain amount of time to accumulate and may not be able to quickly capture instantaneous abnormal conditions, resulting in leakage current monitoring may not be able to accurately distinguish subtle changes under various working conditions.

[0086] 2. The present invention uses the diagnostic results of the initial operating data to evaluate the lightning strike withstand capacity of the lightning arrester, thereby determining whether it meets the safety standards, and provides a forced-break device to help identify lightning arresters with insufficient withstand capacity at an early stage, thereby reducing the risk of electrical system failures.

[0087] 3. After the threshold judgment is made, the present invention collects and analyzes the environmental and electrical data in real time, which helps to fully understand the interference situation of the lightning arrester in actual operation, and deeply identify the interference factors. It helps to identify the reliability of the abnormal mark of the zero-impedance lightning arrester in the first round of operation stability diagnosis, and effectively reduces the high false alarm rate problem in remote monitoring of the lightning arrester. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0089] Figure 1 A schematic diagram of a flow chart of a method for remotely diagnosing a zero-impedance lightning arrester fault according to the present invention;

[0090] Figure 2It is a structural schematic diagram of a zero-impedance lightning arrester fault remote diagnosis system of the present invention;

[0091] Figure 3 It is a structural schematic diagram of a second fault diagnosis module of the present invention. DETAILED DESCRIPTION

[0092] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0093] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0094] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0095] Embodiment 1:

[0096] like Figure 1 As shown, a method for remotely diagnosing a zero impedance arrester fault according to an embodiment of the present invention is as follows: Figure 1 As shown, the specific steps are as follows:

[0097] S1: Collect the initial operation data of the zero-impedance arrester in thunderstorm weather and conduct the first round of operation stability diagnosis of the zero-impedance arrester;

[0098] S1 includes the following specific steps:

[0099] S11: deploying a sensor network on the current path of the arrester to collect initial operation data of the zero-impedance arrester in thunderstorm weather, wherein the initial operation data includes: obtaining arc current waveform data through a current transformer and obtaining arc voltage waveform data through a voltage sensor;

[0100] The arc current waveform data includes: the current waveform data between the varistor and the discharge gap , Current waveform data between the varistor and the grounding system And the current waveform data between the discharge gap and the insulating material ;

[0101] The arc voltage waveform data includes: voltage waveform data between the varistor and the discharge gap , Voltage waveform data between the varistor and the grounding system And the voltage waveform data between the discharge gap and the insulating material ;

[0102] S12: Import the arc current waveform data into the arc current intensity value calculation strategy to calculate the arc current intensity value of each component of the lightning arrester to form an arc current intensity set , , where the arc current intensity value calculation strategy is as follows:

[0103] ;

[0104] Where T is the duration of a lightning strike cycle, and t represents the monitoring time point;

[0105] is the arc current intensity value, a is the subscript, a=1,2,3;

[0106] is the aging weight function of the zero impedance arrester, , m is the cumulative number of lightning strikes after the zero impedance arrester is installed; M is the factory rated number of lightning strikes of the zero impedance arrester;

[0107] S13: Import the arc voltage waveform data into the arc voltage intensity value calculation strategy to calculate the arc voltage intensity value of each component of the arrester to form an arc voltage intensity set , , where the arc voltage intensity value calculation strategy is as follows:

[0108] ;

[0109] in, is the arc voltage intensity value, a is the subscript;

[0110] S14: Extract arc current intensity set and arc voltage intensity set , and calculate the arc phase stability. The specific calculation strategy is:

[0111] ;

[0112] in, The arc voltage intensity set And the arc current intensity set The mean value of arc voltage intensity and arc current intensity of the data volume;

[0113] They represent the real part of the mean value of arc voltage intensity and the mean value of arc current intensity respectively;

[0114] They represent the phase angle parts of the mean value of arc voltage intensity and the mean value of arc current intensity respectively.

[0115] S1 also includes the following specific steps:

[0116] S15: Extract arc phase stability and preset stability level handover value ;

[0117] S16: Perform the operation stability diagnosis of the zero impedance arrester, as follows:

[0118] When the arc phase stability When , it is judged that the performance stability level of the zero-impedance lightning arrester in this lightning strike round is a general stability level;

[0119] When the arc phase stability or When , it is judged that the performance stability level of the zero-impedance arrester in this lightning strike round is unstable;

[0120] Exemplarily, in this embodiment, within 10 minutes, all lightning strike events constitute a lightning strike round;

[0121] S17: Screening zero-impedance lightning arresters whose performance stability level is an unstable level, and marking the zero-impedance lightning arresters of the unstable level as potential abnormalities to form a set of potential abnormal lightning arresters.

[0122] S2: Evaluate and calculate the lightning strike withstand capability of the zero-impedance arrester based on the operation stability diagnosis results;

[0123] S2 includes the following specific steps:

[0124] S21: extracting a set of potential abnormal lightning arresters, identifying the geographical location of the abnormal lightning arresters, and arranging the neighboring lightning arresters around the abnormal lightning arresters in ascending order according to the straight-line distance between the lightning arresters;

[0125] S22: synchronously screening the five neighboring lightning arresters closest to each abnormal lightning arrester to form a neighboring lightning arrester set;

[0126] S23: collecting the lightning energy value, number of lightning strikes and duration of a single lightning strike received by each lightning arrester in the neighboring lightning arrester set in the current lightning strike round;

[0127] S24: According to S23, the lightning strike withstand capacity value P of the abnormal lightning arrester is evaluated and calculated. The specific evaluation strategy is: ;

[0128] in, They are the contribution rate of lightning energy and the contribution rate of lightning duration respectively;

[0129] is the lightning energy value received by the nth neighboring arrester; is the lightning energy value received by the abnormal lightning arrester;

[0130] For example, in this embodiment, a calculation strategy for the lightning energy value is provided, specifically: , L is the inductance, y is the leakage current;

[0131] is the duration of the lightning strike of the nth neighboring arrester; Duration of the lightning strike to the abnormal arrester;

[0132] Indicates the straight-line distance between the nth neighboring lightning arrester and the abnormal lightning arrester.

[0133] S3: judging the arrester withstand threshold value according to the lightning withstand capacity value, further screening the zero-impedance arrester, and executing a corresponding circuit protection strategy;

[0134] The lightning arrester withstand threshold determination in S3 includes: presetting the lightning strike withstand threshold of the abnormal lightning arrester;

[0135] When the lightning strike withstand capacity value P of the abnormal lightning arrester is less than the lightning strike withstand threshold, the strong breaking device of the lightning arrester is triggered to immediately cut off the circuit;

[0136] When the lightning strike withstand capability value P of the abnormal lightning arrester is greater than or equal to the lightning strike withstand threshold, it is determined that the lightning arrester meets the preconditions for the second fault diagnosis, and step S4 is continued.

[0137] S4: collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively to calculate the environmental interference coefficient and the electrical interference coefficient;

[0138] S4 includes the following specific steps:

[0139] S41: Obtain historical feature data of the zero-impedance arrester in historical lightning strikes, establish and train a data-driven model based on the historical feature data, and output the historical feature data with the highest similarity to the current lightning strike through the data-driven model; wherein the historical feature data includes: historical operation data, historical environmental data, and historical electrical data;

[0140] S42: Real-time collection of environmental data and electrical data of the zero-impedance arrester, the environmental data including: surface humidity average data and surface temperature average data of the zero-impedance arrester; the electrical data including: the total number Q of high-frequency electrical appliances in operation around the zero-impedance arrester, the electromagnetic interference frequency emitted by each high-frequency electrical appliance in operation And the straight-line distance between each high-frequency electrical appliance in operation and the zero-impedance arrester;

[0141] S43: Extract the surface humidity data and surface temperature data of the zero impedance arrester, and calculate the real-time temperature-humidity ratio of the zero impedance arrester , wherein the real-time temperature-humidity ratio is the ratio of the surface temperature mean data to the surface humidity mean data;

[0142] S44: Extract the historical surface humidity mean data and historical surface temperature mean data of the zero impedance arrester from the historical feature data with the highest similarity, and calculate the historical feature temperature-humidity ratio , wherein the historical characteristic temperature-humidity ratio is the ratio of the historical surface temperature mean data to the historical surface humidity mean data;

[0143] Furthermore, the data in S41-S44 are dimensionless processed here;

[0144] S45: Importing the temperature-humidity ratio data into the environmental operation interference coefficient calculation strategy of the zero impedance arrester, the environmental operation interference coefficient calculation strategy is as follows:

[0145] ;

[0146] in, is the electrical operation interference coefficient; It indicates the insulation resistance value of the zero impedance arrester at the monitoring time point t; Indicates the insulation resistance value of the zero-impedance lightning arrester in the historical feature data with the highest similarity.

[0147] S4 also includes the following specific steps:

[0148] S46: Importing the electrical data into the electrical operation interference coefficient calculation strategy of the zero impedance arrester, wherein the electrical operation interference coefficient calculation strategy is as follows:

[0149] ;

[0150] in, is the electrical operation interference coefficient; They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical equipment and the zero-impedance arrester;

[0151] They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical appliance and the zero-impedance arrester in the historical feature data with the highest similarity;

[0152] Indicates the average value of the electromagnetic interference frequency emitted by each running high-frequency electrical appliance in the historical feature data with the highest similarity;

[0153] Indicates the working residual voltage of the zero impedance arrester; Indicates the working residual voltage of the zero-impedance lightning arrester in the historical feature data with the highest similarity.

[0154] S5: Construct a real-time interference coupling model of the zero impedance arrester when it is working according to the coupling of the environmental interference coefficient and the electrical interference coefficient;

[0155] In S5, the real-time interference coupling model is specifically:

[0156] ;

[0157] in, is the real-time interference coupling factor, are the coupling proportional coefficients of the environmental operation interference coefficient and the electrical operation interference coefficient, .

[0158] S6: extract the real-time interference coupling factor in the real-time interference coupling model, form an interference coupling factor time series set, and perform a second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time series set, and synchronously output the diagnosis result and the maintenance suggestion of the zero-impedance lightning arrester.

[0159] S6 includes the following specific steps:

[0160] S61: extracting the real-time interference coupling factor GR in the real-time interference coupling model to form a time series set of interference coupling factors;

[0161] S62: Perform a second fault diagnosis of the zero impedance arrester according to the interference coupling factor time series set, wherein the second fault diagnosis strategy is specifically:

[0162] In three consecutive lightning strikes, when the real-time interference coupling factor GR is less than or equal to, or greater than once or twice in a row, the fault risk level 1 interference threshold When the abnormal arrester is detected, the potential abnormal mark of the abnormal arrester is eliminated, and the zero impedance arrester is continued to be monitored;

[0163] S63: The second fault diagnosis strategy further includes:

[0164] In three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk level 1 interference threshold for three consecutive times And less than or equal to the fault risk secondary interference threshold When the abnormal arrester's actual working performance is judged to be disturbed, the potential abnormal mark is upgraded to a working fault mark, and a zero-impedance arrester offline maintenance reminder is simultaneously issued to the maintenance personnel.

[0165] The second fault diagnosis strategy also includes: in three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk secondary interference threshold for the first time When the arrester is triggered, the forced breaking device will cut off the circuit immediately;

[0166] After the forced-break device of the arrester is triggered, the arrester's major fault diagnosis result is synchronously popped up on the remote diagnosis interactive interface of the zero-impedance arrester, and a reminder to replace the zero-impedance arrester is sent to the maintenance personnel.

[0167] Embodiment 2:

[0168] like Figure 2 , 3 As shown, a zero impedance arrester fault remote diagnosis system according to an embodiment of the present invention is as follows: Figure 2 As shown, it includes the following modules:

[0169] The first round of diagnosis module, lightning strike tolerance assessment module, tolerance threshold judgment module, interference coefficient calculation module, interference coupling model construction module, and the second fault diagnosis module;

[0170] The first round diagnosis module is used to collect the initial operation data of the zero impedance arrester in thunderstorm weather and perform the first round operation stability diagnosis of the zero impedance arrester;

[0171] The lightning strike withstand capability evaluation module evaluates and calculates the lightning strike withstand capability value of the zero impedance arrester according to the operation stability diagnosis result;

[0172] The withstand threshold judgment module judges the withstand threshold of the arrester according to the lightning withstand capacity value, further screens the zero-impedance arrester, and executes the corresponding circuit protection strategy;

[0173] The interference coefficient calculation module is used to collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively, to calculate the environmental interference coefficient and the electrical interference coefficient;

[0174] The interference coupling model building module builds a real-time interference coupling model when the zero-impedance lightning arrester is working according to the environmental interference coefficient and the electrical interference coefficient coupling;

[0175] The second fault diagnosis module is used to extract the real-time interference coupling factor in the real-time interference coupling model, form an interference coupling factor time series set, and perform a second fault diagnosis of the zero-impedance lightning arrester based on the interference coupling factor time series set, and synchronously output the diagnosis results and maintenance recommendations for the zero-impedance lightning arrester.

[0176] like Figure 3 As shown, the second fault diagnosis module also includes: a real-time interference coupling factor extraction unit, a second fault diagnosis unit, and a diagnosis suggestion output unit; wherein the real-time interference coupling factor extraction unit is used to extract the real-time interference coupling factor in the real-time interference coupling model; the second fault diagnosis unit is used to perform a second fault diagnosis of the zero-impedance lightning arrester; and the diagnosis suggestion output unit is used to output the diagnosis results and maintenance suggestions for the zero-impedance lightning arrester.

[0177] Embodiment three:

[0178] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0179] The processor executes the above-mentioned remote diagnosis method for zero-impedance lightning arrester fault by calling the computer program stored in the memory.

[0180] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement a zero-impedance lightning arrester fault remote diagnosis method provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0181] Embodiment 4:

[0182] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0183] When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned remote diagnosis method for zero-impedance lightning arrester fault.

[0184] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0185] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0186] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0187] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0188] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0189] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0190] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0191] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0192] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0193] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0194] In summary, compared with the prior art, the technical effects of the present invention are as follows:

[0195] 1. The present invention accurately identifies potential fault sources and operating abnormalities by monitoring the arc phase stability of the zero-impedance lightning arrester under actual working conditions. However, leakage current monitoring usually requires a certain amount of time to accumulate and may not be able to quickly capture instantaneous abnormal conditions, resulting in leakage current monitoring may not be able to accurately distinguish subtle changes under various working conditions.

[0196] 2. The present invention uses the diagnostic results of the initial operating data to evaluate the lightning strike withstand capacity of the lightning arrester, thereby determining whether it meets the safety standards, and provides a forced-break device to help identify lightning arresters with insufficient withstand capacity at an early stage, thereby reducing the risk of electrical system failures.

[0197] 3. After the threshold judgment is made, the present invention collects and analyzes the environmental and electrical data in real time, which helps to fully understand the interference situation of the lightning arrester in actual operation, and deeply identify the interference factors. It helps to identify the reliability of the abnormal mark of the zero-impedance lightning arrester in the first round of operation stability diagnosis, and effectively reduces the high false alarm rate problem in remote monitoring of the lightning arrester.

[0198] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for remote diagnosis of zero impedance arrester fault, characterized in that: The method comprises the following specific steps: S1: Collect the initial operation data of the zero-impedance arrester in thunderstorm weather and conduct the first round of operation stability diagnosis of the zero-impedance arrester; S2: Evaluate and calculate the lightning strike withstand capability of the zero-impedance arrester based on the operation stability diagnosis results; S3: judging the arrester withstand threshold value according to the lightning withstand capacity value, further screening the zero-impedance arrester, and executing a corresponding circuit protection strategy; S4: collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively to calculate the environmental interference coefficient and the electrical interference coefficient; S5: Construct a real-time interference coupling model of the zero impedance arrester when it is working according to the coupling of the environmental interference coefficient and the electrical interference coefficient; S6: extracting the real-time interference coupling factor in the real-time interference coupling model, forming an interference coupling factor time series set, and performing a second fault diagnosis of the zero-impedance lightning arrester according to the interference coupling factor time series set, and synchronously outputting the diagnosis result and the maintenance suggestion of the zero-impedance lightning arrester; S4 includes the following specific steps: S41: Obtain historical feature data of the zero-impedance arrester in historical lightning strikes, establish and train a data-driven model based on the historical feature data, and output the historical feature data with the highest similarity to the current lightning strike through the data-driven model; wherein the historical feature data includes: historical operation data, historical environmental data, and historical electrical data; S42: Real-time collection of environmental data and electrical data of the zero-impedance arrester, the environmental data including: surface humidity average data and surface temperature average data of the zero-impedance arrester; the electrical data including: the total number Q of high-frequency electrical appliances in operation around the zero-impedance arrester, the electromagnetic interference frequency emitted by each high-frequency electrical appliance in operation And the straight-line distance between each high-frequency electrical appliance in operation and the zero-impedance arrester; S43: Extract the surface humidity data and surface temperature data of the zero impedance arrester, and calculate the real-time temperature-humidity ratio of the zero impedance arrester , wherein the real-time temperature-humidity ratio is the ratio of the surface temperature mean data to the surface humidity mean data; S44: Extract the historical surface humidity mean data and historical surface temperature mean data of the zero impedance arrester from the historical feature data with the highest similarity, and calculate the historical feature temperature-humidity ratio , wherein the historical characteristic temperature-humidity ratio is the ratio of the historical surface temperature mean data to the historical surface humidity mean data; S45: Importing the temperature-humidity ratio data into the environmental operation interference coefficient calculation strategy of the zero impedance arrester, the environmental operation interference coefficient calculation strategy is as follows: in, is the electrical operation interference coefficient; It indicates the insulation resistance value of the zero impedance arrester at the monitoring time point t; Indicates the insulation resistance value of the zero-impedance arrester in the historical feature data with the highest similarity; S4 also includes the following specific steps: S46: Importing the electrical data into the electrical operation interference coefficient calculation strategy of the zero impedance arrester, wherein the electrical operation interference coefficient calculation strategy is as follows: ； in, is the electrical operation interference coefficient; They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical equipment and the zero-impedance arrester; They respectively represent the maximum straight-line distance and the minimum straight-line distance between the running high-frequency electrical appliance and the zero-impedance arrester in the historical feature data with the highest similarity; Indicates the average value of the electromagnetic interference frequency emitted by each high-frequency electrical appliance in operation among the historical feature data with the highest similarity; Indicates the working residual voltage of the zero impedance arrester; Indicates the working residual voltage of the zero-impedance arrester in the historical characteristic data with the highest similarity; In S5, the real-time interference coupling model is specifically: ； in, is the real-time interference coupling factor, are the coupling proportional coefficients of the environmental operation interference coefficient and the electrical operation interference coefficient, .

2. A zero impedance arrester fault remote diagnosis method according to claim 1, characterized in that: S1 includes the following specific steps: S11: deploying a sensor network on the current path of the arrester to collect initial operation data of the zero-impedance arrester in thunderstorm weather, wherein the initial operation data includes: obtaining arc current waveform data through a current transformer and obtaining arc voltage waveform data through a voltage sensor; The arc current waveform data includes: the current waveform data between the varistor and the discharge gap , Current waveform data between the varistor and the grounding system And the current waveform data between the discharge gap and the insulating material ; The arc voltage waveform data includes: voltage waveform data between the varistor and the discharge gap , Voltage waveform data between the varistor and the grounding system And the voltage waveform data between the discharge gap and the insulating material ; S12: Import the arc current waveform data into the arc current intensity value calculation strategy to calculate the arc current intensity value of each component of the lightning arrester to form an arc current intensity set , , where the arc current intensity value calculation strategy is as follows: ； Where T is the duration of a lightning strike cycle, and t represents the monitoring time point; is the arc current intensity value, a is the subscript, a=1,2,3; is the aging weight function of the zero impedance arrester, , m is the cumulative number of lightning strikes after the zero impedance arrester is installed; M is the factory rated number of lightning strikes of the zero impedance arrester; S13: Import the arc voltage waveform data into the arc voltage intensity value calculation strategy to calculate the arc voltage intensity value of each component of the arrester to form an arc voltage intensity set , , where the arc voltage intensity value calculation strategy is as follows: in, is the arc voltage intensity value, a is the subscript; S14: Extract arc current intensity set and arc voltage intensity set , and calculate the arc phase stability. The specific calculation strategy is: ； in, The arc voltage intensity set And the arc current intensity set The average value of arc voltage intensity and arc current intensity of medium data volume; They represent the real part of the mean value of arc voltage intensity and the mean value of arc current intensity respectively; They represent the phase angle parts of the mean value of arc voltage intensity and the mean value of arc current intensity respectively.

3. A zero impedance arrester fault remote diagnosis method according to claim 2, characterized in that: S1 also includes the following specific steps: S15: Extract arc phase stability and preset stability level handover value ; S16: Perform the operation stability diagnosis of the zero impedance arrester, as follows: When the arc phase stability When , it is judged that the performance stability level of the zero-impedance lightning arrester in this lightning strike round is a general stability level; When the arc phase stability or When , it is judged that the performance stability level of the zero-impedance arrester in this lightning strike round is unstable; S17: Screening zero-impedance lightning arresters whose performance stability level is an unstable level, and marking the zero-impedance lightning arresters of the unstable level as potential abnormalities to form a set of potential abnormal lightning arresters.

4. A zero-impedance arrester fault remote diagnosis method according to claim 3, characterized in that: S2 includes the following specific steps: S21: extracting a set of potential abnormal lightning arresters, identifying the geographical location of the abnormal lightning arresters, and arranging the neighboring lightning arresters around the abnormal lightning arresters in ascending order according to the straight-line distance between the lightning arresters; S22: synchronously screening the five neighboring lightning arresters closest to each abnormal lightning arrester to form a neighboring lightning arrester set; S23: collecting the lightning energy value, number of lightning strikes and duration of a single lightning strike received by each lightning arrester in the neighboring lightning arrester set in the current lightning strike round; S24: According to S23, the lightning strike withstand capacity value P of the abnormal lightning arrester is evaluated and calculated. The specific evaluation strategy is: ； in, They are the contribution rate of lightning energy and the contribution rate of lightning duration respectively; is the lightning energy value received by the nth neighboring arrester; is the lightning energy value received by the abnormal lightning arrester; is the duration of the lightning strike of the nth neighboring arrester; is the duration of the lightning strike on the abnormal arrester; Indicates the straight-line distance between the nth neighboring lightning arrester and the abnormal lightning arrester.

5. A zero impedance arrester fault remote diagnosis method according to claim 4, characterized in that: The lightning arrester withstand threshold determination in S3 includes: presetting the lightning strike withstand threshold of the abnormal lightning arrester; When the lightning strike withstand capacity value P of the abnormal lightning arrester is less than the lightning strike withstand threshold, the strong breaking device of the lightning arrester is triggered to immediately cut off the circuit; When the lightning strike withstand capability value P of the abnormal lightning arrester is greater than or equal to the lightning strike withstand threshold value, it is determined that the lightning arrester meets the preconditions for the second fault diagnosis, and step S4 is continued.

6. A zero-impedance arrester fault remote diagnosis method according to claim 5, characterized in that: S6 includes the following specific steps: S61: extracting the real-time interference coupling factor GR in the real-time interference coupling model to form a time series set of interference coupling factors; S62: Perform a second fault diagnosis of the zero impedance arrester according to the interference coupling factor time series set, wherein the second fault diagnosis strategy is specifically: In three consecutive lightning strikes, when the real-time interference coupling factor GR is less than or equal to, or greater than once or twice in a row, the fault risk level 1 interference threshold When the abnormal arrester is detected, the potential abnormal mark of the abnormal arrester is eliminated, and the zero impedance arrester is continued to be monitored; S63: The second fault diagnosis strategy further includes: In three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk level 1 interference threshold for three consecutive times And less than or equal to the fault risk secondary interference threshold When the abnormal arrester's actual working performance is judged to be disturbed, the potential abnormal mark is upgraded to a working fault mark, and a zero-impedance arrester offline maintenance reminder is simultaneously issued to the maintenance personnel.

7. A zero impedance arrester fault remote diagnosis method according to claim 6, characterized in that: The second fault diagnosis strategy also includes: in three consecutive lightning strikes, when the real-time interference coupling factor GR is greater than the fault risk secondary interference threshold for the first time When the arrester is triggered, the forced breaking device will cut off the circuit immediately; After the forced-break device of the arrester is triggered, the arrester's major fault diagnosis result is synchronously popped up on the remote diagnosis interactive interface of the zero-impedance arrester, and a reminder to replace the zero-impedance arrester is sent to the maintenance personnel.

8. A zero-impedance arrester fault remote diagnosis system, which is implemented based on a zero-impedance arrester fault remote diagnosis method according to any one of claims 1 to 7, characterized in that: The system includes the following modules: The first round of diagnosis module, lightning strike tolerance assessment module, tolerance threshold judgment module, interference coefficient calculation module, interference coupling model construction module, and the second fault diagnosis module; The first round diagnosis module is used to collect the initial operation data of the zero impedance arrester in thunderstorm weather and perform the first round operation stability diagnosis of the zero impedance arrester; The lightning strike withstand capability evaluation module evaluates and calculates the lightning strike withstand capability value of the zero impedance arrester according to the operation stability diagnosis result; The withstand threshold judgment module judges the withstand threshold of the arrester according to the lightning withstand capacity value, further screens the zero-impedance arrester, and executes the corresponding circuit protection strategy; The interference coefficient calculation module is used to collect environmental data and electrical data of the zero-impedance arrester in real time, and import the environmental data and electrical data into the operation interference coefficient calculation strategy of the zero-impedance arrester respectively, to calculate the environmental interference coefficient and the electrical interference coefficient; The interference coupling model building module builds a real-time interference coupling model when the zero-impedance lightning arrester is working according to the environmental interference coefficient and the electrical interference coefficient coupling; The second fault diagnosis module is used to extract the real-time interference coupling factor in the real-time interference coupling model, form an interference coupling factor time series set, and perform a second fault diagnosis of the zero-impedance lightning arrester based on the interference coupling factor time series set, and synchronously output the diagnosis results and maintenance recommendations for the zero-impedance lightning arrester.

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