Lightning arrester data monitoring method, device, equipment and medium

Abstract

The present invention discloses a method, device, equipment and medium for monitoring lightning arrester data. The method comprises: obtaining a phase angle difference information set within a set time period of the lightning arrester; determining the humidity critical value of the lightning arrester based on the phase angle difference information set; and determining the monitoring result of the lightning arrester data based on the humidity critical value. Through this method, the humidity critical value is determined for the phase angle difference information set, and the corresponding humidity critical value can be determined under different conditions and different operating states of the lightning arrester in different environments, thereby determining the detection result of the lightning arrester data based on the humidity critical value. The dynamic determination of the humidity critical value is achieved, eliminating the influence of humidity on the subsequent calculation of the lightning arrester status, ensuring the accuracy of the lightning arrester data, and further ensuring the accuracy of determining the lightning arrester status based on the phase angle difference.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a lightning arrester data monitoring method, device, equipment and medium. Background Art

[0002] Since their introduction into China's power system, AC gapless metal oxide arresters (MOAs) have been widely used due to their excellent performance, playing a particularly important role in ultra-high and ultra-high voltage systems. However, due to their complex grid environment, MOAs are susceptible to various external interferences, resulting in various defects in current monitoring methods, leading to inaccurate measurement results.

[0003] One of the current research focuses in MOA online monitoring technology is determining which MOA electrical parameters are most effective for online monitoring. The current measured in the field consists of three components: 1) valve plate current; 2) surface contamination current; and 3) current induced by surrounding charged bodies through coupling capacitance. The latter two currents are affected by environmental factors, particularly humidity, causing phase shifts and leading to resistive current measurement errors. To minimize the impact of environmental factors on resistive current measurement errors, it is impossible to determine the specific values ​​of these environmental influences through direct measurement or calculation. Summary of the Invention

[0004] The present invention provides a lightning arrester data monitoring method, device, equipment and medium to dynamically determine a humidity critical value.

[0005] According to a first aspect of the present invention, a method for monitoring arrester data is provided, the method comprising:

[0006] Acquire a phase angle difference value information set within a set period of the lightning arrester, wherein the phase angle difference value information set includes the phase angle difference value set of the lightning arrester at each collection moment and the humidity value of the environment in which it is located;

[0007] determining a humidity critical value of the arrester according to the phase angle difference information set;

[0008] The monitoring result of the arrester data is determined according to the humidity critical value.

[0009] According to a second aspect of the present invention, there is provided a lightning arrester data monitoring device, the device comprising:

[0010] An acquisition module is used to acquire a phase angle difference value information set of the lightning arrester within a set period of time, wherein the phase angle difference value information set includes the phase angle difference value set of the lightning arrester at each acquisition moment and the humidity value of the environment in which it is located;

[0011] A critical value determination module, configured to determine a humidity critical value of the arrester based on the phase angle difference information set;

[0012] A result determination module is used to determine the monitoring result of the lightning arrester data according to the humidity critical value.

[0013] According to a third aspect of the present invention, there is provided an electronic device, comprising:

[0014] at least one processor; and

[0015] a memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can execute the arrester data monitoring method according to any embodiment of the present invention.

[0017] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the lightning arrester data monitoring method described in any embodiment of the present invention when executed.

[0018] The technical solution of the embodiment of the present invention obtains the phase angle difference information set within the set time period of the lightning arrester; determines the humidity critical value of the lightning arrester based on the phase angle difference information set; and determines the monitoring result of the lightning arrester data based on the humidity critical value. Through this method, the humidity critical value is determined for the phase angle difference information set, and the corresponding humidity critical value can be determined under different conditions and different operating states of the lightning arrester in different environments, thereby determining the detection result of the lightning arrester data based on the humidity critical value. The dynamic determination of the humidity critical value is achieved, eliminating the influence of humidity on the subsequent calculation of the lightning arrester status, ensuring the accuracy of the lightning arrester data, and further ensuring the accuracy of determining the lightning arrester status based on the phase angle difference.

[0019] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of 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 work.

[0021] Figure 1This is a flow chart of a lightning arrester data monitoring method provided according to the first embodiment of the present invention;

[0022] Figure 2 This is a flow chart of a lightning arrester data monitoring method provided according to the second embodiment of the present invention;

[0023] Figure 3 This is an example flow chart of a lightning arrester data monitoring method provided according to the second embodiment of the present invention;

[0024] Figure 4 This is an example diagram of monitoring results in a lightning arrester data monitoring method provided in Embodiment 2 of the present invention;

[0025] Figure 5 This is a structural diagram of a lightning arrester data monitoring device provided according to a third embodiment of the present invention;

[0026] Figure 6 It is a schematic structural diagram of an electronic device implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] What needs to be known is that, based on the data monitoring of the lightning arrester, it can be obtained that within a certain humidity range, the phase angle difference of the three phases A, B, and C of the lightning arrester changes with time, and the phase angle difference is in a stable state. Therefore, for the lightning arrester, a humidity critical point can be found. Within this humidity critical point, the change in the phase angle difference is not related to the change in ambient humidity. Therefore, when calculating the resistive current to judge the operating status of the lightning arrester, the influence of other factors such as humidity that cause data abnormalities can be eliminated.

[0030] Example 1

[0031] Figure 1 A flowchart of a lightning arrester data monitoring method is provided for the first embodiment of the present invention. This embodiment is applicable to the determination of the humidity critical value of a lightning arrester. The method can be executed by a lightning arrester data monitoring device. The lightning arrester data monitoring device can be implemented in the form of hardware and / or software. The lightning arrester data monitoring device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0032] S110: Obtain a phase angle difference information set within a set period of the lightning arrester.

[0033] It is important to note that the method provided by the present invention requires that historical data or pre-judged data be verified before it is used to ensure that the data is correct. If the arrester has already experienced an abnormality when the data is first read, the results will be unreliable.

[0034] In this embodiment, a lightning arrester can be understood as an electrical device that is installed under different conditions and environments and needs to be monitored to protect electrical equipment from high transient overvoltage hazards and limit the freewheeling time, which often limits the freewheeling value. The set time period can be understood as the set duration for determining the humidity threshold. The phase angle difference information set can be understood as a collection of phase angle difference information formed by the phase angle difference and humidity value at each acquisition time within the set time period.

[0035] The phase angle difference information set includes the phase angle difference value set of the lightning arrester at each collection moment and the humidity value of the environment in which it is located.

[0036] Specifically, the arrester can be provided with a humidity sensor and a phase angle sensor. The two sensors can collect the humidity value of the environment in which the arrester is located and the initial phase angles of the three phases of the arrester according to a set frequency, and obtain the phase angle difference through difference calculation. The acquisition time, phase angle difference and humidity value are stored as a phase angle difference information set in a corresponding storage medium. The processor can compare the accumulated acquisition time with the set time period. When the accumulated acquisition time reaches the time period corresponding to the set time period, the first to the last phase angle difference information within the set time period can be obtained to obtain the phase angle difference information set.

[0037] S120: Determine a humidity critical value of the arrester according to the phase angle difference information set.

[0038] In this embodiment, the humidity critical value can be understood as a critical value at which the arrester data is affected by humidity and causes data abnormality.

[0039] Specifically, since the phase angle difference information set includes the phase angle difference at each moment and the humidity value of the corresponding environment, the phase angle difference with the smallest humidity value can be determined according to the phase angle difference information set, and then the phase angle difference with the smallest humidity value can be judged to determine whether the phase angle difference with the smallest humidity value meets the valid point condition. If it does, the phase angle difference with the smallest humidity value is used as the valid point, that is, the valid value when it is not affected by external factors and the lightning arrester is in a stable state. If it does not meet the condition, the phase angle difference with the smallest humidity value is used as the rejection point. Since there are sporadic discrete points in the data transmission process or other errors, a parameter can be set to improve the fault tolerance of this method to determine whether the number of rejection points reaches the value of this parameter. When the number of rejection points reaches the value of this parameter, it can be determined that the humidity value corresponding to the previous valid point of the rejection point is the humidity critical value.

[0040] S130. Determine the monitoring result of the arrester data according to the humidity critical value.

[0041] In this embodiment, the monitoring result can be understood as the result of classifying the arrester data into valid values ​​and invalid values.

[0042] Specifically, according to the humidity critical value, the phase angle difference value exceeding the humidity critical value can be regarded as an invalid value, and the phase angle difference value not exceeding the humidity critical value can be regarded as a valid value. The set of all valid values ​​is the monitoring result of the lightning arrester data.

[0043] The technical solution of the embodiment of the present invention obtains the phase angle difference information set within the set time period of the lightning arrester; determines the humidity critical value of the lightning arrester based on the phase angle difference information set; and determines the monitoring result of the lightning arrester data based on the humidity critical value. Through this method, the humidity critical value is determined for the phase angle difference information set, and the corresponding humidity critical value can be determined under different conditions and different operating states of the lightning arrester in different environments, thereby determining the detection result of the lightning arrester data based on the humidity critical value. The dynamic determination of the humidity critical value is achieved, eliminating the influence of humidity on the subsequent calculation of the lightning arrester status, ensuring the accuracy of the lightning arrester data, and further ensuring the accuracy of determining the lightning arrester status based on the phase angle difference.

[0044] Example 2

[0045] Figure 2 This is a flow chart of a lightning arrester data monitoring method provided by the second embodiment of the present invention. This embodiment is a further refinement based on the above embodiment. Figure 2 As shown, the method includes:

[0046] S210: Obtain a phase angle difference information set within a set period of the lightning arrester.

[0047] S220 . For each phase combination, obtain a target information set of the phase combination from the phase angle difference information set.

[0048] In this embodiment, the phase combination can be understood as three phase combinations obtained by combining the three phases of the lightning arrester in pairs, and the target information set can be understood as the phase angle difference information corresponding to each phase combination.

[0049] The phase combination is a sequential combination of two adjacent phases among the three phases of the arrester. For example, if the three phases of the arrester are A, B and C, the phase combinations are AB, BC and CA.

[0050] Specifically, the three phases of the arrester can obtain three phase combinations by sequentially combining two adjacent phases. The phase angle difference information set includes multiple sets of phase angle difference information of the three phase combinations within a set period. Then, three target information sets corresponding to the three phase combinations can be distinguished from the phase angle difference information set. For the target information set of each phase combination included in the phase angle difference information set,

[0051] For example, the target information set of phase combination AB is {a ABn}, where n is the number of acquisition moments within the set period; the target information set of the phase combination BC is {a BCn}; The target information set of phase combination CA is {a CAn}.

[0052] S230: Determine a phase humidity critical value of the phase combination according to the target information set.

[0053] In this embodiment, the phase humidity threshold value can be understood as the humidity threshold value of each of the three phase combinations.

[0054] Specifically, the phase angle difference value that needs to be judged as a valid point can be selected from the target information set corresponding to each phase combination, and the phase angle difference value can be judged whether it is a valid point. When the target phase angle difference value is not a valid point, it can be divided into elimination points, and then the number of elimination points can be judged, and whether it is the phase humidity critical value can be determined based on the judgment result.

[0055] Furthermore, based on the above steps, the step of determining the phase humidity critical value of the phase combination according to the target information set can be further refined as follows:

[0056] a1. Determine the target phase angle difference value at the collection time corresponding to the minimum humidity value from the target information set.

[0057] In this embodiment, the minimum humidity value can be understood as the smallest humidity value included in the target information set, the target phase angle difference can be understood as the phase angle difference corresponding to the minimum humidity value, and the collection time can be understood as the collection time at the set frequency within the set period.

[0058] Specifically, the phase angle difference information contained in the target information set can be sorted according to the set order of humidity. Since a phase angle difference information includes humidity value, phase angle difference and corresponding collection time, the minimum humidity value in the target information set can be determined according to the sorting result, and then the target phase angle difference value at the collection time corresponding to the minimum humidity value can be obtained.

[0059] For example, the target information set of the phase combination CA {a CAn}, and the phase angle difference information with the minimum humidity value is determined to be a3. Then, the target phase angle difference corresponding to the minimum humidity value and the corresponding acquisition time can be determined. The process of determining the target phase angle difference of the other two phase combinations is the same, so it will not be repeated here.

[0060] b1. Determine whether the target phase angle difference satisfies a critical value determination condition based on the determined valid difference information set.

[0061] In this embodiment, the valid difference information set can be understood as a stable difference information set for each phase combination that is not affected by external factors. When no determination is made, the valid difference information set is an empty set. The critical value determination condition can be understood as a condition for determining whether the target phase angle difference is an abnormal value.

[0062] Specifically, the target phase angle difference value can be combined with each valid phase angle difference value in the determined valid difference information set to determine whether the target phase angle difference value meets the critical value determination condition. First, it can be determined whether the target phase angle difference value is a valid difference value. When the target phase angle difference value is not a valid difference value, it can be divided into a rejection difference value, and then the rejection difference value can be judged a second time to determine whether the target phase angle difference value meets the critical value condition.

[0063] Furthermore, based on the determined valid difference information set, the step of determining whether the target phase angle difference satisfies the critical value determination condition can be further refined as follows:

[0064] b11. Determine the maximum phase angle difference and the minimum phase angle difference from the target phase angle difference and the effective difference information set.

[0065] In this embodiment, the maximum phase angle difference value can be understood as the phase angle difference value with the largest value, and the minimum phase angle difference value can be understood as the phase angle difference value with the smallest value.

[0066] Specifically, the processor can compare the target phase angle difference value with each phase angle difference value in the valid phase angle difference value set to determine the maximum phase angle difference value and the minimum phase angle difference value. When the valid difference value information set is an empty set, the maximum phase angle difference value is the target phase angle difference value and the minimum phase angle difference value is 0.

[0067] b12. Determine the error width based on the maximum phase angle difference and the minimum phase angle difference.

[0068] In this embodiment, the error width can be understood as the phase angle difference range.

[0069] Specifically, the processor may subtract the maximum phase angle difference from the minimum phase angle difference to obtain the error width. When the valid difference information set is an empty set, the maximum phase angle difference is the target phase angle difference, and the minimum phase angle difference is 0, the error width is the target phase angle difference.

[0070] For example, the maximum phase angle difference can be b nmax , the minimum phase angle difference can be b nmin , the error width can be d(n), then d(n)=b nmax -b nmin .

[0071] b13. Determine whether the error width is greater than or equal to a preset determination threshold.

[0072] In this embodiment, the determination threshold may be understood as a value set to determine whether the error width is too large.

[0073] Specifically, the error width may be compared with a preset determination threshold to determine whether the error width is greater than or equal to the preset determination threshold.

[0074] Exemplarily, the determination threshold may be 0.5. If it is the fifth determination, then n=5, ie, it is determined whether d(5) is greater than or equal to 0.5.

[0075] b14. If yes, the critical value determination condition is satisfied as the condition determination result, and the judgment cumulative value under the critical value determination condition is determined.

[0076] In this embodiment, the condition determination result can be understood as a result indicating whether the target phase angle difference value satisfies the critical value determination condition. The determination cumulative value can be understood as the number of times the critical value determination condition is satisfied within the set period.

[0077] Specifically, when the error width is greater than or equal to the judgment threshold, that is, the error of the target phase angle difference is too large, the target phase angle difference can be considered to be abnormal, and the satisfaction of the critical value determination condition is taken as the conditional judgment result. The processor can add 1 to the judgment cumulative value, so as to determine the judgment cumulative value that meets the critical value determination condition in the process of judging the target information set.

[0078] b15. If not, the failure to meet the critical value determination condition is regarded as the condition determination result.

[0079] Specifically, when the error width is smaller than the determination threshold, that is, the error of the target phase angle difference is very small, it can be considered that the target phase angle difference is normal, and the failure to meet the critical value determination condition is used as the condition determination result.

[0080] c1. Determine the phase humidity critical value of the phase combination based on the determined condition judgment result.

[0081] Specifically, the processor can determine whether the target phase angle difference value has an excessively large error, that is, whether it is a valid phase angle difference value, based on the conditional judgment result. When the target phase angle difference value is an invalid phase angle difference value, the phase humidity critical value of the phase combination can be determined based on the valid difference information set.

[0082] Furthermore, according to the determined condition determination result, the step of determining the phase humidity critical value of the phase combination can be further refined as follows:

[0083] c11. If the conditional judgment result is that the critical value determination condition is met, a secondary conditional judgment is performed on the target phase angle difference value based on the determined judgment cumulative value, and the phase humidity critical value of the phase combination is determined based on the secondary judgment result.

[0084] It should be noted that due to the existence of sporadic discrete points in the data transmission process or other errors, a truncation threshold can be set to improve the fault tolerance of this method. The truncation threshold determines the amount of fault tolerance. The target phase angle difference is judged by the truncation threshold and the judgment cumulative value. The maximum value of the truncation threshold can be 10% of the effective data volume.

[0085] In this embodiment, the secondary determination result can be understood as the result of determining whether the cumulative value reaches the cutoff threshold.

[0086] Specifically, when the conditional judgment result is that the critical value determination condition is met, it can be considered that the error of the target phase angle difference is too large, and the processor can perform a secondary judgment on the target phase angle difference based on the judgment cumulative value to determine whether the cumulative value is equal to the truncation threshold, that is, to determine whether the target phase angle difference is not an accidental abnormal point. When the secondary judgment result passes, that is, the judgment cumulative value is equal to the truncation threshold, the phase humidity critical value of the phase combination can be further determined. When the secondary judgment result fails, continue to find the next minimum humidity value in the target information set and perform a cyclic judgment.

[0087] According to the secondary determination result, the step of determining the phase humidity critical value of the phase combination can be further refined as follows:

[0088] c111. When the secondary determination result is passed, determine the phase humidity critical value of the phase combination according to the valid difference information set.

[0089] Specifically, the processor compares the judgment cumulative value with the truncation threshold. When the judgment cumulative value is equal to the truncation threshold, the secondary judgment result is passed. The processor can then determine the last target valid difference information added to the valid difference information set. Based on the target valid difference information, the humidity value contained therein can be determined, and the humidity value can be used as the phase humidity critical value of the phase combination.

[0090] Exemplarily, the truncation threshold can be set to 5, the judgment cumulative value is 5, the secondary judgment result is passed, the processor determines that the last target valid difference information added to the valid difference information set is n=120, and its corresponding humidity value is 61.4, then 61.4 is used as the phase humidity critical value of this phase.

[0091] c112. When the secondary determination result is failure, the phase angle difference information at the corresponding acquisition moment is deleted from the target information set, and the target phase angle difference determination operation is executed again.

[0092] Specifically, the processor compares the judgment cumulative value with the truncation threshold. When the judgment cumulative value is less than the truncation threshold, the secondary judgment result is that the secondary judgment fails. The processor can then delete the phase angle difference information of the corresponding collection moment from the target information set, return to re-execute the target phase angle difference determination operation, that is, determine the target phase angle difference at the collection moment corresponding to the next minimum humidity value from the target information set again, and continue to determine whether the target phase angle difference meets the critical value determination condition based on the determined valid difference information set. Based on the determined conditional judgment result, the phase humidity critical value of the phase combination is determined.

[0093] c12. If the result of the conditional judgment is that the critical value determination condition is not met, the target phase angle difference is added to the valid difference information set, and the phase angle difference information at the corresponding acquisition moment is deleted from the target information set, and the target phase angle difference determination operation is executed again.

[0094] Specifically, when the condition judgment result is that the critical value determination condition is not met, it can be considered that the error of the target phase angle difference is very small, and the target phase angle difference is not affected by interference conditions such as humidity. It can be considered that the target phase angle difference is valid, and the target phase angle difference is added to the valid difference information set, and the phase angle difference information at the corresponding acquisition time is deleted from the target information set, and the target phase angle difference determination operation is returned and re-executed, and the next minimum humidity value in the target information set is continued to be found for cyclic judgment.

[0095] S240. Use the humidity critical value of each phase as the humidity critical value of the arrester.

[0096] Specifically, since the arrester includes three phase combinations, corresponding to three phase humidity critical values, the three phase humidity critical values ​​can be used as the humidity critical values ​​of the arrester in each phase combination.

[0097] S250. Determine the monitoring result of the arrester data according to the humidity critical value.

[0098] The technical solution of the embodiment of the present invention first determines the minimum humidity value in the target information set of each phase combination, determines the error width according to the target phase angle difference corresponding to the minimum humidity value and the determined effective difference information set, and then determines whether the target phase angle difference is within the error range according to the error width and the set judgment threshold, and then determines whether the target phase angle difference is an effective difference without interference. When the target phase angle difference is not within the error range, the humidity critical value can be determined. By accumulating the judgment cumulative value that does not meet the critical value determination condition, the judgment cumulative value is compared with the set cutoff threshold, thereby determining the humidity critical value under the phase combination, and using the three humidity critical values ​​corresponding to the three phase combinations as the humidity critical value of the arrester, thereby determining the detection result of the arrester data according to the humidity critical value. The judgment threshold and the cutoff threshold can be set according to demand, realizing the personalization of the sampling standard, so that the method can have good fault tolerance, realizing the dynamic determination of the humidity critical value, eliminating the influence of humidity on the subsequent arrester state calculation, ensuring the accuracy of the arrester data, and thus ensuring the accuracy of determining the arrester state according to the phase angle difference.

[0099] As a first optional embodiment of the second embodiment, based on the above embodiment, the step of determining the phase angle difference information set can be further optimized to include:

[0100] a2. For each collection moment within a set period, obtain the first initial phase angle value, the second initial phase angle value, and the third initial phase angle value corresponding to the three phases of the lightning arrester and the humidity value of the environment.

[0101] In this embodiment, the initial phase angle value can be understood as the initial phase angle at different phases.

[0102] Specifically, the processor can collect the initial phase angle value corresponding to each phase through the initial phase angle sensor and humidity sensor set in the lightning arrester as the first initial phase angle value, second initial phase angle value and third initial phase angle value corresponding to each phase, and collect the humidity value of the environment at the collection time through the humidity sensor.

[0103] For example, the three phases are A, B and C, and the first initial phase angle value is the initial phase angle value of phase A is recorded as A1, the second initial phase angle value is the initial phase angle value of phase B is recorded as B1, and the third initial phase angle value is the initial phase angle value of phase C is recorded as C1.

[0104] b2. Determine the intermediate difference corresponding to each phase combination according to the difference between the first initial phase angle value and the second initial phase angle value, the difference between the second initial phase angle value and the third initial phase angle value, and the difference between the second initial phase angle value and the third initial phase angle value.

[0105] In this embodiment, the intermediate difference is the difference between two adjacent phases.

[0106] Specifically, the processor can perform a difference calculation between the first initial phase angle value and the second initial phase angle value to obtain the intermediate difference value of the first phase combination, can perform a difference calculation between the second initial phase angle value and the third initial phase angle value to obtain the intermediate difference value of the second phase combination, and can perform a difference calculation between the second initial phase angle value and the third initial phase angle value to obtain the intermediate difference value of the third phase combination.

[0107] Exemplarily, if the first phase combination is AB, the middle difference of the first phase combination is A1-B1; if the second phase combination is BC, the middle difference of the second phase combination is B1-C1; if the third phase combination is CA, the middle difference of the third phase combination is C1-A1.

[0108] c2. Determine the phase angle difference information of each phase combination at the corresponding acquisition time based on the intermediate difference and the ambient humidity.

[0109] Specifically, the processor may combine the intermediate difference at the acquisition moment with the ambient humidity to determine the phase angle difference information of each phase combination at the corresponding acquisition moment, that is, the phase angle difference information includes the intermediate difference, ambient humidity and acquisition moment.

[0110] d2. The phase angle difference information of each phase combination is used as a phase angle difference information set.

[0111] Specifically, the phase angle difference information of the three phase combinations at each acquisition moment within a set time period may be integrated into a phase angle difference information set.

[0112] The first optional embodiment of the second embodiment determines the phase angle difference information set under each phase combination of the lightning arrester by calculating the phase angle difference of the initial phase angle values ​​and humidity values ​​collected at each collection moment within a set time period, thereby realizing automatic determination of the phase angle difference information set, and providing data support for the subsequent determination of the monitoring results of the lightning arrester data according to the phase angle difference information set by this method.

[0113] For example, in order to facilitate understanding of the present invention, the overall process of the present invention is exemplarily demonstrated for determining the humidity critical value for one phase combination CA, wherein the values ​​included therein are all exemplary and can be set according to actual needs. Figure 3 This is an example flow chart of a lightning arrester data monitoring method provided according to the second embodiment of the present invention.

[0114] like Figure 3 As shown, the steps of the method include:

[0115] S301, determining a target information set corresponding to the phase combination CA;

[0116] S302, determining a target phase angle difference value corresponding to a minimum humidity value from a target information set;

[0117] S303, determining an error width according to the target phase angle difference and the determined valid difference information set;

[0118] S304, determine whether the error width is greater than or equal to 0.5; if so, jump to step S306, if not, jump to step S305;

[0119] S305: Add the target phase angle difference value to the valid difference information set, and delete the phase angle difference value information corresponding to the target phase angle difference value from the target information set;

[0120] S306, determining the cumulative value;

[0121] S307, determine whether the cumulative value is equal to 5; if so, jump to step S309, if not, jump to step S308;

[0122] S308, deleting the phase angle difference information corresponding to the target phase angle difference from the target information set;

[0123] S309: Use the humidity value corresponding to the last phase angle difference value added to the valid difference information set as the humidity critical value.

[0124] For example, Figure 4 This is an example diagram of monitoring results in a lightning arrester data monitoring method provided according to the second embodiment of the present invention, taking the phase combination CA as an example.

[0125] like Figure 4 As shown in the figure, the horizontal axis is the humidity value, and the vertical axis is the phase angle difference of the phase combination CA. The figure shows the target information set of the phase combination CA within the set time period. It includes the phase angle difference values ​​at each collection time within the set time period, that is, the set of square points and circular points. The square points are valid phase angle differences within the humidity threshold, and the circular points are invalid phase angle differences that exceed the humidity threshold. It can be seen that invalid phase angle differences are affected by interference factors, resulting in large fluctuations in the invalid phase angle differences.

[0126] Example 3

[0127] Figure 5 This is a schematic diagram of the structure of a lightning arrester data monitoring device provided by the third embodiment of the present invention. Figure 5 As shown, the device includes: an acquisition module 51, a critical value determination module 52 and a result determination module 53.

[0128] An acquisition module 51 is configured to acquire a phase angle difference value information set of the arrester within a set period of time, wherein the phase angle difference value information set includes the phase angle difference value set of the arrester at each acquisition moment and the humidity value of the environment in which the arrester is located;

[0129] A critical value determination module 52 is used to determine the humidity critical value of the arrester according to the phase angle difference information set;

[0130] The result determination module 53 is used to determine the monitoring result of the arrester data according to the humidity critical value.

[0131] The technical solution of the embodiment of the present invention obtains the phase angle difference information set within the set time period of the lightning arrester; determines the humidity critical value of the lightning arrester based on the phase angle difference information set; and determines the monitoring result of the lightning arrester data based on the humidity critical value. Through this method, the humidity critical value is determined for the phase angle difference information set, and the corresponding humidity critical value can be determined under different conditions and different operating states of the lightning arrester in different environments, thereby determining the detection result of the lightning arrester data based on the humidity critical value. The dynamic determination of the humidity critical value is achieved, eliminating the influence of humidity on the subsequent calculation of the lightning arrester status, ensuring the accuracy of the lightning arrester data, and further ensuring the accuracy of determining the lightning arrester status based on the phase angle difference.

[0132] Optionally, the critical value determination module 52 includes:

[0133] An acquisition submodule is used to acquire a target information set of a phase combination from a phase angle difference information set for each phase combination, wherein the phase combination is a sequential combination of two adjacent phases in the three phases of the arrester;

[0134] A first determining submodule is configured to determine a phase humidity critical value of the phase combination according to the target information set;

[0135] The second determining submodule is configured to use the humidity critical value of each phase as the humidity critical value of the arrester.

[0136] Furthermore, the first determination submodule includes:

[0137] A first determining unit is used to determine a target phase angle difference value at a collection time corresponding to a minimum humidity value from a target information set;

[0138] a determination unit, configured to determine whether the target phase angle difference satisfies a critical value determination condition based on the determined valid difference information set;

[0139] The second determining unit is configured to determine a phase humidity critical value of the phase combination according to the determined condition determination result.

[0140] The determination unit may be specifically used for:

[0141] Determine the maximum phase angle difference value and the minimum phase angle difference value from the target phase angle difference value and the effective difference value information set;

[0142] Determine the error width based on the maximum phase angle difference and the minimum phase angle difference;

[0143] Determining whether the error width is greater than or equal to a preset determination threshold;

[0144] If so, the satisfaction of the critical value determination condition is taken as the condition determination result, and the determination cumulative value under the satisfaction of the critical value determination condition is determined;

[0145] If not, the failure to satisfy the critical value determination condition is regarded as a condition determination result.

[0146] Furthermore, the second determining unit includes:

[0147] a determination subunit, configured to perform a secondary condition determination on the target phase angle difference value according to the determined determination cumulative value if the condition determination result satisfies the critical value determination condition, and determine the phase humidity critical value of the phase combination according to the secondary determination result;

[0148] The return subunit is used to add the target phase angle difference to the valid difference information set if the condition judgment result is that the critical value determination condition is not met, and delete the phase angle difference information at the corresponding acquisition moment from the target information set, and return to re-execute the target phase angle difference determination operation.

[0149] The determination subunit may be specifically used for:

[0150] When the secondary determination result is passed, the phase humidity critical value of the phase combination is determined according to the valid difference information set;

[0151] When the secondary determination result is failure to pass the secondary determination, the phase angle difference information at the corresponding acquisition moment is deleted from the target information set, and the target phase angle difference determination operation is executed again.

[0152] Optionally, the step of determining the phase angle difference information set may include:

[0153] For each collection moment within the set time period, obtain the first initial phase angle value, the second initial phase angle value, and the third initial phase angle value corresponding to the three phases of the lightning arrester and the humidity value of the environment;

[0154] Determine an intermediate difference corresponding to each phase combination according to a difference between the first initial phase angle value and the second initial phase angle value, a difference between the second initial phase angle value and the third initial phase angle value, and a difference between the second initial phase angle value and the third initial phase angle value;

[0155] According to the intermediate difference and the ambient humidity, the phase angle difference information of each phase combination at the corresponding acquisition time is determined;

[0156] The phase angle difference information of each phase combination is used as a phase angle difference information set.

[0157] The lightning arrester data monitoring device provided in the embodiment of the present invention can execute the lightning arrester data monitoring method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0158] Example 4

[0159] Figure 6 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0160] like Figure 6 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0161] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0162] The processor 11 may be any general-purpose and / or specialized processing component with processing and computing capabilities. Examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the arrester data monitoring method.

[0163] In some embodiments, the arrester data monitoring method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the arrester data monitoring method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the arrester data monitoring method by any other appropriate means (e.g., by means of firmware).

[0164] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0165] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0166] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0167] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0168] The systems and techniques described herein can be implemented in a computing system that includes a back-end component (e.g., as a data server), a computing system that includes a first-piece component (e.g., an application server), a computing system that includes a front-end component (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with embodiments of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, first-piece components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0169] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0170] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0171] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A lightning arrester data monitoring method, characterized in that: The method comprises: Obtaining a phase angle difference value information set within a set period of the lightning arrester, wherein the phase angle difference value information set includes the phase angle difference value set of the lightning arrester and the humidity value of the environment at each collection time; the phase angle difference value information set is a collection of data read after the lightning arrester is verified and confirmed to be normal; determining a humidity critical value of the arrester according to the phase angle difference information set; Determining a monitoring result of the arrester data according to the humidity critical value; The step of determining the humidity critical value of the arrester according to the phase angle difference information set includes: For each phase combination, a target information set of the phase combination is obtained from the phase angle difference information set, wherein the phase combination is a sequential combination of two adjacent phases among the three phases of the arrester; determining a phase humidity critical value of the phase combination according to the target information set; The humidity critical value of each phase is used as the humidity critical value of the lightning arrester.

2. The method according to claim 1, wherein determining the phase humidity critical value of the phase combination according to the target information set comprises: Determine the target phase angle difference value at the acquisition moment corresponding to the minimum humidity value from the target information set; Determining whether the target phase angle difference satisfies a critical value determination condition based on the determined valid difference information set; According to the determined condition determination result, a phase humidity critical value of the phase combination is determined.

3. The method according to claim 2, wherein determining whether the target phase angle difference satisfies a critical value determination condition based on the determined valid difference information set comprises: Determine a maximum phase angle difference value and a minimum phase angle difference value from the target phase angle difference value and the effective difference value information set; Determining an error width according to the maximum phase angle difference and the minimum phase angle difference; Determining whether the error width is greater than or equal to a preset determination threshold; If so, the satisfaction of the critical value determination condition is taken as the condition determination result, and the determination cumulative value under the satisfaction of the critical value determination condition is determined; If not, the failure to satisfy the critical value determination condition is regarded as a condition determination result.

4. The method according to claim 2, wherein determining the phase humidity critical value of the phase combination according to the determined condition determination result comprises: If the condition determination result is that the critical value determination condition is met, a secondary condition determination is performed on the target phase angle difference value according to the determined determination cumulative value, and a phase humidity critical value of the phase combination is determined according to the secondary determination result; If the conditional determination result is that the critical value determination condition is not met, the target phase angle difference is added to the effective difference information set, and the phase angle difference information of the corresponding acquisition moment is deleted from the target information set, and the target phase angle difference determination operation is executed again.

5. The method according to claim 4, wherein determining the phase humidity critical value of the phase combination according to the secondary determination result comprises: When the secondary determination result is passing the secondary determination, determining a phase humidity critical value of the phase combination according to the valid difference information set; When the secondary determination result is failure to pass the secondary determination, the phase angle difference information at the corresponding acquisition moment is deleted from the target information set, and the target phase angle difference determination operation is returned to be executed again.

6. The method according to claim 1, characterized in that The step of determining the phase angle difference information set includes: For each collection moment within the set time period, obtaining a first initial phase angle value, a second initial phase angle value, and a third initial phase angle value corresponding to the three phases of the arrester and a humidity value of the environment; Determine an intermediate difference corresponding to each phase combination according to a difference between the first initial phase angle value and the second initial phase angle value, a difference between the second initial phase angle value and the third initial phase angle value, and a difference between the third initial phase angle value and the first initial phase angle value; Determining phase angle difference information of each phase combination at a corresponding acquisition moment according to the intermediate difference and the ambient humidity; The phase angle difference information of each phase combination is used as a phase angle difference information set.

7. A lightning arrester data monitoring device, characterized in that: The device comprises: An acquisition module is configured to acquire a phase angle difference value information set within a set period of time of the lightning arrester, wherein the phase angle difference value information set includes the phase angle difference value set of the lightning arrester and the humidity value of the environment at each acquisition moment; the phase angle difference value information set is a collection of data read after the lightning arrester is verified and confirmed to be free of abnormalities; A critical value determination module, configured to determine a humidity critical value of the arrester based on the phase angle difference information set; A result determination module, configured to determine a monitoring result of the arrester data according to the humidity critical value; Wherein, the critical value determination module includes: An acquisition submodule, configured to acquire, for each phase combination, a target information set of the phase combination from the phase angle difference information set, wherein the phase combination is a sequential combination of two adjacent phases among the three phases of the arrester; A first determining submodule is configured to determine a phase humidity critical value of the phase combination according to the target information set; The second determining submodule is configured to use each phase humidity critical value as the humidity critical value of the arrester.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor. The computer program is executed by the at least one processor to enable the at least one processor to execute the arrester data monitoring method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the lightning arrester data monitoring method according to any one of claims 1 to 6 when executed.

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