Method and device for evaluating state of lightning arrester

Abstract

The invention discloses a method and device for evaluating the state of a lightning arrester, and relates to the technical field of power system safety evaluation. Calling a target station and a target voltage level of the first lightning arrester, adopting a longitudinal diagnosis mode for the first lightning arrester based on the target station and the target voltage level, and obtaining external environment data of the first lightning arrester based on the longitudinal diagnosis mode to determine a target environment mode; acquiring a real-time resistive current value, a first average value and a second average value according to the target environment mode, determining a plurality of basic scores based on the real-time resistive current value, the first average value and the second average value, and calculating the plurality of basic scores to obtain a longitudinal score value; and when the longitudinal score value is greater than or equal to a preset score threshold value, determining that the first lightning arrester has an internal fault, and generating early warning information according to the internal fault. By implementing the technical scheme provided by the invention, the temporary change caused by the external environment and the real internal fault can be distinguished, and the misjudgment rate caused by the change of the external environment is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system safety evaluation, in particular to a method and device for evaluating the state of a lightning arrester. BACKGROUND

[0002] A lightning arrester is a key protection device in a power system, which is used to prevent lightning overvoltage from damaging electrical equipment. The reliability of its operating state is directly related to the safety and stability of the entire power grid. Therefore, real-time and accurate state evaluation and fault warning of the lightning arrester are important technical means to ensure the safe operation of the power system.

[0003] Currently, the mainstream lightning arrester state evaluation technology mainly relies on online monitoring of its operating parameters, especially the resistive current which is considered as the core health indicator. In terms of specific technical implementation, the amplitude, rate of change or harmonic relationship with the total current of the resistive current are analyzed, and then compared with the pre-set fixed threshold, so as to judge the health status of the lightning arrester.

[0004] However, the above existing technology usually uses fixed time period and static judgment threshold in evaluation, and does not fully consider the significant influence of external environmental factors on the resistive current. For example, under special weather conditions such as high humidity, continuous rainfall or strong rainfall after drought, the contamination on the outer surface of the lightning arrester will form a conductive channel due to moisture, resulting in a sharp increase in its leakage current (including resistive component) in a short period of time. This non-fault mutation caused by external environment is easy to be misjudged as internal insulation defect by the existing technology, thus producing a large number of false alarms and reducing the accuracy of state evaluation. SUMMARY

[0005] The present application provides a method and device for evaluating the state of a lightning arrester, which can distinguish between temporary changes caused by external environment and real internal faults, and reduce the misjudgment rate caused by external environmental changes.

[0006] In a first aspect, the application provides a method for evaluating the state of a lightning arrester, the method comprising: retrieving a target belonging station and a target voltage level of a first lightning arrester, and selecting a plurality of second lightning arresters from a lightning arrester cluster that are identical to the target belonging station and the target voltage level; selecting lightning arresters different from the first lightning arrester from the plurality of second lightning arresters to obtain a third lightning arrester set; if there is no lightning arrester in the third lightning arrester set that is identical to the first lightning arrester in terms of device model, adopting a longitudinal diagnosis mode for the first lightning arrester, and obtaining external environment data of the first lightning arrester within a preset first time based on the longitudinal diagnosis mode; obtaining a plurality of humidity and cumulative rainfall from the external environment data, calculating the plurality of humidity to obtain an average relative humidity; determining a target environment mode in which the first lightning arrester is currently located according to the cumulative rainfall and the average relative humidity; retrieving a time correction factor corresponding to the target environment mode, and calculating an initial first time duration according to the time correction factor to obtain a target first time duration; obtaining a real-time resistive current value of the first lightning arrester at a current time, and a plurality of first resistive current values of the first lightning arrester within the target first time duration, and performing average calculation on the plurality of first resistive current values to obtain a first average value; obtaining a plurality of second resistive current values of the first lightning arrester within an initial second time duration, and performing average calculation on the plurality of second resistive current values to obtain a second average value, wherein the initial second time duration is greater than the initial first time duration; determining a plurality of basic scores based on the real-time resistive current value, the first average value, and the second average value; retrieving a weight coefficient corresponding to the plurality of basic scores in the target environment mode, and performing weighted summation calculation on the plurality of basic scores and the respective corresponding weight coefficients to obtain a longitudinal score value; and when the longitudinal score value is greater than or equal to a preset score threshold, confirming that the first lightning arrester has an internal fault, and generating a warning information according to the internal fault.

[0007] By adopting the technical scheme, the external environment data of the target arrester, including humidity and rainfall information, is obtained based on selecting different phase arresters as references at the same station and voltage level, and then the current target environment mode is determined by calculating the average relative humidity and combining the cumulative rainfall. According to different target environment modes, a corresponding time correction factor is introduced to dynamically adjust the initial first time length for overcoming the limitations of the traditional fixed cycle evaluation method. Then, the real-time resistive current value and the historical resistive current average value under different time scales are obtained, and a multi-dimensional basic score is established by comparative analysis. Meanwhile, different weight coefficients are set for different target environment modes to perform weighted calculation on the basic scores, and finally a longitudinal score value with better environmental adaptability is obtained. When the longitudinal score value exceeds the preset score threshold, a warning information is sent. The dynamic evaluation method considering the environmental influence significantly improves the accuracy of the arrester state evaluation and effectively reduces the misjudgment rate caused by external environmental changes. Especially in special weather conditions such as high humidity and continuous rainfall, the temporary changes caused by the external environment and the real internal faults can be accurately distinguished, thereby providing more reliable state evaluation results.

[0008] Optionally, after selecting the arrester different from the device type of the first arrester from the plurality of second arresters to obtain the third arrester set, the method further comprises: if there is an arrester consistent with the device type of the first arrester in the third arrester set, obtaining a first commissioning time point of the first arrester and a second commissioning time point of the target arrester, wherein the target arrester is the arrester consistent with the device type of the first arrester in the third arrester set; calculating the first commissioning time point and the second commissioning time point to obtain an interval length; when the interval length is less than or equal to a preset interval length, confirming that the target arrester is used as the reference device of the first arrester, and adopting a comprehensive diagnosis mode for the first arrester, wherein the comprehensive diagnosis mode includes a horizontal diagnosis mode and a longitudinal diagnosis mode; obtaining a target real-time resistive current value of the target arrester based on the horizontal diagnosis mode, dividing the difference between the real-time resistive current value and the target real-time resistive current value by the target real-time resistive current value to obtain a horizontal deviation rate, and obtaining a longitudinal score value of the first arrester based on the longitudinal diagnosis mode; when the horizontal deviation rate is less than a preset deviation threshold and the longitudinal score value is less than a preset score threshold, confirming that the first arrester is in a normal state; and when the horizontal deviation rate is greater than or equal to the preset deviation threshold or the longitudinal score value is greater than or equal to the preset score threshold, confirming that the first arrester has an internal fault.

[0009] By adopting the technical scheme, based on the screening mechanism, it is ensured that the reference device and the target lightning arrester have the same device model, and by comparing the operation time, it is ensured that they have similar service life, which provides a reliable basis for horizontal comparison. When the conditions of consistent device model and close operation time are met, the resistive current deviation rate between the target lightning arrester and the reference device is calculated based on the horizontal diagnosis mode. The longitudinal score and the horizontal deviation rate are combined. Only when both indicators are in the normal range, the device state is determined to be normal. Otherwise, it is confirmed that there is an internal fault. The principle that the operating characteristics of lightning arresters of the same model, similar service life and different phases should be similar in the same environment is fully utilized. The interference of environmental factors is effectively eliminated through real-time horizontal comparison. At the same time, by setting a reasonable deviation threshold, the sensitivity of fault detection is ensured, and false positives caused by excessive sensitivity are avoided.

[0010] Optionally, the target environment mode in which the first lightning arrester is currently located is determined according to the accumulated rainfall and the average relative humidity, and specifically includes: when the average relative humidity is greater than a humidity threshold and the accumulated rainfall is less than a rainfall threshold, it is confirmed that the target environment mode is a high humidity environment mode; a rainfall time sequence recorded at a preset time resolution within a preset first time is obtained, and a plurality of continuous rainfall periods with a rainfall interval duration less than a preset rainfall interruption time threshold are screened out from the rainfall time sequence, the rainfall interval duration being a time interval between any two adjacent effective rainfall record points; a first duration of each continuous rainfall period is obtained, and a maximum value of the plurality of first durations is selected as a maximum continuous rainfall duration; when the maximum continuous rainfall duration is greater than a preset duration threshold, it is confirmed that the target environment mode is a continuous rainfall environment mode; if a rainfall event is monitored, a plurality of daily rainfall amounts from the starting time of the rainfall event to a preset backtracking duration are obtained, and a target number of days in which the daily rainfall amount is less than a preset daily rainfall threshold within the preset backtracking duration is counted; when the target number of days is greater than or equal to a preset drought number of days, the total rainfall amount of the rainfall event is obtained; if the total rainfall amount is greater than or equal to a heavy rainfall threshold, it is confirmed that the target environment mode is a drought-after-heavy-rainfall environment mode.

[0011] By adopting the technical scheme, through comprehensive analysis of environmental parameters such as humidity and rainfall, three typical environmental modes of high humidity, continuous rainfall and heavy rainfall after drought are accurately identified. In the determination of the high humidity environmental mode, by simultaneously observing two indexes of average relative humidity and cumulative rainfall, deviation caused by single parameter determination is avoided. For the continuous rainfall environmental mode, by setting a reasonable rainfall interruption time threshold, a real continuous rainfall process is accurately identified. Especially in the determination of the heavy rainfall after drought environmental mode, by using a backtracking analysis method, the extreme weather change condition is accurately captured by counting the historical drought days and combining the current rainfall intensity. The detailed environmental mode division method can accurately identify the influence of different types of adverse weather on the operating state of the lightning arrester.

[0012] Optionally, the time correction factor includes a first time correction factor and a second time correction factor, the time correction factor corresponding to the target environmental mode is called, and the initial first time length is calculated according to the time correction factor to obtain a target first time length, specifically including: when the target environmental mode is a high humidity environmental mode, a first humidity corresponding to a first time point is selected from a preset first time, and a second humidity corresponding to a second time point is selected, the first time point is earlier than the second time point; the first humidity and the second humidity are averaged to obtain an average humidity; when the average relative humidity is greater than the humidity threshold, the second time point is marked as the high humidity starting time; when the average relative humidity is greater than the humidity threshold, the current time and the high humidity starting time are calculated to obtain a high humidity duration; the first time correction factor is determined based on the high humidity duration and the initial first time length; the target first time length is obtained by multiplying the first time correction factor and the initial first time length; when the target environmental mode is a continuous rainfall environmental mode, a plurality of continuous rainfall periods are added to obtain a rainfall duration; the second time correction factor is determined based on the rainfall duration and the initial first time length, and the target first time length is obtained by multiplying the initial first time length and the second time correction factor.

[0013] By adopting the technical scheme, for the high humidity and continuous rainfall environmental modes, corresponding time correction algorithms are designed respectively. In the high humidity environment, the humidity data of continuous time points are analyzed to accurately determine the starting time of the high humidity state, and the time correction factor is dynamically calculated based on the high humidity duration, so that the evaluation period can be adaptively adjusted according to the change of the environmental condition. Similarly, in the continuous rainfall environment, the time correction mechanism matched with the actual rainfall process is established by adding the duration of a plurality of continuous rainfall periods. The dynamic time correction method based on the environmental duration can automatically adjust the evaluation period according to the duration of different environmental conditions, which not only ensures that there is enough data to support the evaluation result when the adverse environmental condition lasts for a long time, but also avoids the influence of short-term fluctuations of the environmental condition on the evaluation accuracy.

[0014] Optionally, the time correction factor further comprises a third time correction factor, the time correction factor corresponding to the target environment mode is called, and the initial first duration is calculated according to the time correction factor to obtain the target first duration, specifically comprising: when the target environment mode is the post-drought heavy rainfall environment mode, the second duration of the rainfall event is obtained, the total rainfall is divided by the second duration to obtain the cumulative rainfall intensity; the risk index is obtained according to the ratio of the cumulative rainfall intensity to the preset critical dangerous rainfall intensity; the third time correction factor is determined based on the risk index through the preset function, wherein the higher the risk index, the closer the third time correction factor to the minimum time correction factor; the third time correction factor and the initial first duration are multiplied to obtain the target first duration.

[0015] By adopting the above technical scheme, for this special environment mode of post-drought heavy rainfall, the cumulative rainfall intensity, that is, the rainfall amount per unit time, is calculated to accurately quantify the intensity of rainfall. The actual cumulative rainfall intensity is compared with the preset critical dangerous rainfall intensity to establish a risk index, which directly reflects the potential threat degree of the current rainfall to the operating state of the lightning arrester. This self-adaptive time adjustment mechanism based on the risk makes the lightning arrester state evaluation system maintain high sensitivity in the process of severe environmental change from drought to heavy rainfall, improves the sampling frequency by shortening the evaluation cycle, and thus accurately monitors the possible sudden change of insulation performance, effectively improving the early warning ability and reliability of the system under extreme weather conditions.

[0016] Optionally, the plurality of basic scores are determined based on the real-time resistive current value, the first average value and the second average value, specifically comprising: dividing the difference between the real-time resistive current value and the first average value by the first average value to obtain a short-term fluctuation deviation rate; dividing the difference between the first average value and the second average value by the second average value to obtain a medium-term trend deviation rate; comparing the real-time resistive current value with the first current threshold and the second current threshold, and determining a real-time current basic score according to the real-time comparison result; comparing the short-term fluctuation deviation rate with the first fluctuation rate threshold and the second fluctuation rate threshold, and determining a short-term fluctuation basic score according to the short-term comparison result; comparing the medium-term trend deviation rate with the first trend rate threshold and the second trend rate threshold, and determining a medium-term trend basic score according to the medium-term comparison result, wherein the real-time current basic score, the short-term fluctuation basic score and the medium-term trend basic score together constitute the plurality of basic scores.

[0017] By adopting the technical scheme, the resistive current is analyzed from three time dimensions of real-time value, short-term fluctuation and medium-term trend, the dynamic change characteristics of the resistive current are accurately captured by calculating the short-term fluctuation deviation rate and the medium-term trend deviation rate, different threshold intervals are set for the real-time resistive current value, the short-term fluctuation deviation rate and the medium-term trend deviation rate, respectively, and the fine grading of the abnormal degree of the resistive current is realized. This multi-level scoring system can not only timely discover instantaneous abnormalities, but also identify potential degradation trends through analysis of short-term fluctuations and medium-term trends.

[0018] Optionally, when the longitudinal score value is greater than or equal to the preset score threshold, it is determined that the first lightning arrester has an internal fault, and warning information is generated according to the internal fault, specifically including: when the longitudinal score value is greater than or equal to the preset score threshold, the multiple body temperatures of the first lightning arrester within the preset second time are retrieved from the infrared thermal image display device; the multiple body temperatures are calculated according to the least square method to obtain a temperature change rate; when the temperature change rate is greater than or equal to a preset temperature change rate, it is determined that the first lightning arrester has an internal fault, and emergency warning information is generated according to the internal fault; when the temperature change rate is less than the preset temperature change rate, it is determined that the first lightning arrester is in a suspected abnormal state, and the warning information is changed to attention prompt information according to the suspected abnormal state.

[0019] By adopting the technical scheme, when the resistive current score exceeds the preset score threshold, the infrared thermal image monitoring is automatically triggered, and the lightning arrester body temperature data is collected as the second verification basis. The least square method is used to process the temperature data, and the temperature change rate is accurately calculated, which not only effectively eliminates the random error in temperature measurement, but also accurately reflects the internal heating trend of the lightning arrester. By comparing the temperature change rate with the preset temperature change rate, the accurate division of the fault level is realized: when the temperature rises rapidly, the emergency warning is timely issued, and when the temperature change is relatively slow, the attention prompt is downgraded. This double warning mechanism based on temperature change rate not only avoids the misjudgment that may be caused by a single indicator, but also takes appropriate warning strategies according to the urgency of the fault development trend, significantly improving the reliability of the lightning arrester state evaluation.

[0020] In a second aspect of the present application, an evaluation device for the state of a lightning arrester is provided. The device includes a retrieval unit, a first processing unit, a second processing unit, and a confirmation unit. The retrieval unit retrieves a target belonging station and a target voltage level of a first lightning arrester, filters a plurality of second lightning arresters from a lightning arrester cluster that have the same target belonging station and target voltage level as the first lightning arrester, and selects lightning arresters different from the first lightning arrester from the plurality of second lightning arresters to obtain a third lightning arrester set. The first processing unit adopts a longitudinal diagnosis mode for the first lightning arrester if there is no lightning arrester in the third lightning arrester set that has the same device model as the first lightning arrester, obtains external environment data of the first lightning arrester within a preset first time based on the longitudinal diagnosis mode, obtains a plurality of humidity and cumulative rainfall from the external environment data, calculates the plurality of humidity to obtain an average relative humidity, determines a target environment mode in which the first lightning arrester is currently located according to the cumulative rainfall and the average relative humidity, retrieves a time correction factor corresponding to the target environment mode, and calculates an initial first time length according to the time correction factor to obtain a target first time length. The second processing unit obtains a real-time resistive current value of the first lightning arrester at the current time, a plurality of first resistive current values of the first lightning arrester within the target first time length, and a plurality of second resistive current values of the first lightning arrester within an initial second time length, averages the plurality of first resistive current values to obtain a first average value, averages the plurality of second resistive current values to obtain a second average value, wherein the initial second time length is greater than the initial first time length, determines a plurality of basic scores based on the real-time resistive current value, the first average value, and the second average value, retrieves a weight coefficient corresponding to the plurality of basic scores in the target environment mode, and performs weighted summation calculation on the plurality of basic scores and the respective corresponding weight coefficients to obtain a longitudinal score value. The confirmation unit confirms that the first lightning arrester has an internal fault when the longitudinal score value is greater than or equal to a preset score threshold, and generates a warning information according to the internal fault.

[0021] In a third aspect of the present application, an electronic device is provided. The electronic device includes a processor, a memory, a user interface, and a network interface. The memory is configured to store instructions. The user interface and the network interface are configured to communicate with other devices. The processor is configured to execute the instructions stored in the memory, so that the electronic device performs the method of any one of the above aspects of the present application.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores instructions. When the instructions are executed, the method of any one of the above aspects of the present application is performed.

[0023] In summary, the one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1、Based on selecting different phase arresters as references under the same station and voltage level, the external environmental data of the target arrester, including humidity and rainfall information, are obtained, and the current target environment mode is determined by calculating the average relative humidity and combining the cumulative rainfall. According to different target environment modes, the corresponding time correction factor is introduced to dynamically adjust the initial first time length of the evaluation, so as to overcome the limitations of the traditional fixed cycle evaluation method. Then, the real-time resistive current value and the historical resistive current average value under different time scales are obtained, and the multi-dimensional basic score is established through comparative analysis. At the same time, different weight coefficients are set for different target environment modes, and the basic scores are weighted and calculated to obtain a longitudinal score value that is more environmentally adaptive. When the longitudinal score value exceeds the preset score threshold, a warning information is sent. Through the dynamic evaluation method considering the environmental influence, the accuracy of the arrester state evaluation is significantly improved, and the misjudgment rate caused by external environmental changes is effectively reduced. Especially in special weather conditions such as high humidity and continuous rainfall, the temporary changes caused by external environment and the real internal faults can be accurately distinguished, so as to provide more reliable state evaluation results.

[0024] 2、Based on the screening mechanism, it is ensured that the reference device and the target arrester have the same device model, and the use time of the two is similar through comparison, which provides a reliable basis for horizontal comparison. When the device model is consistent and the operation time is close, the resistive current deviation rate between the target arrester and the reference device is calculated based on the horizontal diagnosis mode. The longitudinal score and the horizontal deviation rate are combined, and only when both indicators are in the normal range, the device state is normal, otherwise, it is confirmed that there is an internal fault. The principle that the operating characteristics of the same type, similar service life but different phase arresters in the same environment should be similar is fully utilized, the environmental factors are effectively eliminated through real-time horizontal comparison, and by setting a reasonable deviation threshold, the sensitivity of fault detection is ensured, and false judgment caused by excessive sensitivity is avoided. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 is a flowchart of an arrester state evaluation method provided by an embodiment of the present application; Figure 2 is a structural schematic diagram of an arrester state evaluation device provided by an embodiment of the present application; Figure 3 is a structural schematic diagram of an electronic device disclosed by an embodiment of the present application.

[0026] Explanation of reference signs: 201, retrieval unit; 202, first processing unit; 203, second processing unit; 204, confirmation unit; 300, electronic device; 301, processor; 302, memory; 303, user interface; 304, network interface; 305, communication bus. DETAILED DESCRIPTION

[0027] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in combination with the drawings in the specification. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments.

[0028] In the description of the embodiments of the present application, the words such as "for example" or "for instance" are used to represent an example, illustration or description. Any embodiment or design scheme described as "for example" or "for instance" in the embodiments of the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the words such as "for example" or "for instance" are intended to present the relevant concept in a specific manner.

[0029] In the description of the embodiments of the present application, the term "a plurality of" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. In addition, the terms "first" and "second" are used for description purposes only and should not be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features. The terms "include", "contain", "have" and their variants mean "include but are not limited to", unless otherwise specifically emphasized.

[0030] Therefore, how to reduce the misjudgment of the state of the lightning arrester due to changes in the external environment is a problem that needs to be solved at present. The evaluation method for the state of the lightning arrester provided in the embodiments of the present application is applied to a server. The server of the present application can be a platform for providing evaluation services for the state of the lightning arrester, Figure 1 is a flowchart of an evaluation method for the state of the lightning arrester provided in the embodiments of the present application, referring to Figure 1 The method comprises the following steps S101-S109.

[0031] S101: Retrieving the target belonging station and the target voltage level of the first lightning arrester, and screening a plurality of second lightning arresters from the lightning arrester cluster which have the same target belonging station and target voltage level.

[0032] In S101, the first arrester information to be monitored is acquired from the arrester online monitoring system of the power system. Since the operating characteristics of the arrester are closely related to the voltage level and the station environment, the target station information (such as a 330 kV substation) and the target voltage level information (such as 330 kV) of the first arrester are called. Based on these two key parameters, all arrester information other than the first arrester is retrieved from the database of the arrester online monitoring system, and these arrester collectively constitute an arrester cluster. Then, the arrester in the arrester cluster is screened, specifically by a database query statement, to select the arrester with the same target station and the same target voltage level as the first arrester, and the screening result is taken as the second arrester. For example, if the first arrester is located on the 330 kV bus of a 330 kV substation, other arrester on the 330 kV bus of the 330 kV substation will be selected as the second arrester from the arrester cluster. Through the screening mechanism of the station and the voltage level, it is ensured that the reference arrester used in the subsequent comparison and analysis is in the same operating environment and electrical condition as the first arrester.

[0033] S102: Select an arrester different from the first arrester from the plurality of second arresters to obtain a third arrester set.

[0034] In S102, after the second arrester is screened, an arrester different from the first arrester needs to be selected from the plurality of second arresters. The phase information of the first arrester (such as phase A, phase B or phase C) is read first, and then a database query statement is used to select all arresters different from the first arrester from the plurality of second arresters. These selected arresters form a third arrester set.

[0035] For example, if the first arrester is a phase A arrester, phase B and phase C arresters are selected to form the third arrester set. The reason for selecting arresters of different phases is that at the same time, different phase arresters bear the same working voltage amplitude, and in the normal operating state of three-phase balance, their resistive currents should have similar characteristics. This selection mechanism based on different phases can effectively avoid the influence of phase-related faults on the same phase arrester, and ensure the reliability of the reference arrester.

[0036] S1021: Determine whether there is an arrester in the third arrester set that is consistent with the device model of the first arrester.

[0037] In the above S1021, after obtaining the third arrester set, it is necessary to further confirm whether there is an arrester with the same device model as the first arrester in the third arrester set. The detailed device information of the first arrester is read, including manufacturer, model specification, rated voltage, rated current and other parameters. Then, through database query instruction, the device model information of each arrester in the third arrester set is compared. In the comparison process, the specific model parameters of the arrester are strictly checked to ensure that the arrester with the same model as the first arrester is found. The reason for consistency judgment of device model is that the arrester with the same model has high consistency in design parameters, internal structure and performance characteristics, which provides a reliable technical basis for subsequent horizontal comparison analysis.

[0038] For example, when the first arrester is a certain brand YH10W-102 / 266 type arrester, it is checked whether there is an arrester with the same model in the third arrester set. This accurate screening mechanism based on device model ensures that the reference device for subsequent state evaluation has the same technical characteristics and design parameters as the device under test, thereby improving the accuracy and reliability of the horizontal comparison result.

[0039] S1022: If there is an arrester with the same device model as the first arrester in the third arrester set, the first commissioning time point of the first arrester is obtained, and the second commissioning time point of the target arrester is obtained.

[0040] In the above S1022, when there is an arrester with the same device model as the first arrester in the third arrester set, the commissioning time information of the related arrester needs to be further obtained. In specific implementation, the commissioning record of the first arrester is first called from the monitoring system database to obtain the specific time point when the first arrester is first put into operation, i.e. the first commissioning time point. At the same time, the commissioning record of the arrester with the same model as the first arrester in the third arrester set (i.e. the target arrester) is also obtained, and the second commissioning time point of the target arrester is extracted. These two time points are usually recorded in the database in the form of year, month and day, for example, the first commissioning time point of the first arrester is March 15, 2024, and the second commissioning time point of the target arrester is April 1, 2024. The reason for obtaining and comparing the commissioning time information is that the running characteristics of the arrester will change with the passage of time, even if the arrester is of the same model, if the commissioning time difference is large, the performance characteristics may also have significant differences.

[0041] Through the screening mechanism based on commissioning time, it can be ensured that the reference device for state evaluation not only has the same model as the device under test, but also has similar service life, thereby improving the accuracy of the evaluation result.

[0042] S1023: Calculate the interval duration between the first operation time point and the second operation time point; when the interval duration is less than or equal to the preset interval duration, confirm that the target lightning arrester is the reference device of the first lightning arrester, and adopt the comprehensive diagnosis mode for the first lightning arrester, which includes the horizontal diagnosis mode and the vertical diagnosis mode.

[0043] In the above S1023, after obtaining the first operation time point of the first lightning arrester and the second operation time point of the target lightning arrester, the time difference between the two is needed to be calculated. In specific implementation, the time difference value calculation function is adopted to subtract the first operation time point from the second operation time point (or vice versa), to obtain the interval duration of the operation time of the two lightning arresters.

[0044] For example, if the first operation time point is March 15, 2024, and the second operation time point is April 1, 2024, the calculated interval duration is 17 days. Compare this interval duration with the preset interval duration (such as 180 days) set in advance, when the calculated interval duration is less than or equal to the preset interval duration, the target lightning arrester is determined as the reference device of the first lightning arrester, and the comprehensive diagnosis mode is adopted for the first lightning arrester, which includes the horizontal diagnosis mode and the vertical diagnosis mode. The preset interval duration is set as the screening standard, because the lightning arrester will experience natural aging process during operation, and the lightning arresters with similar operation time are comparable. For example, when the operation time interval of the two lightning arresters is within the preset range (such as within half a year), it can be considered that they are in similar aging stage, and their performance characteristics have strong comparability. Through this screening mechanism based on the operation time interval, not only the reference device and the device to be measured have similar service life, but also a more reliable technical foundation is provided for subsequent horizontal comparison analysis, which significantly improves the accuracy of state evaluation.

[0045] S1024: Obtain the target real-time resistive current value of the target lightning arrester based on the horizontal diagnosis mode, divide the difference between the real-time resistive current value and the target real-time resistive current value by the target real-time resistive current value to obtain the horizontal deviation rate, and obtain the vertical score value of the first lightning arrester based on the vertical diagnosis mode.

[0046] In S1024, after determining to use the comprehensive diagnosis mode, the real-time operation data of the first lightning arrester and the target lightning arrester are acquired simultaneously by using the transverse diagnosis mode in the comprehensive diagnosis mode. In the implementation, the current resistance current data of the target lightning arrester, i.e., the target real-time resistance current value, is acquired by the online monitoring device, and the real-time resistance current value of the first lightning arrester is acquired at the same time. The two values are usually in milliamperes (mA) and have the same order of magnitude, for example, the real-time resistance current value of the first lightning arrester is 0.5 mA, and the target real-time resistance current value of the target lightning arrester is 0.45 mA. Then, the difference between the two current values (e.g., 0.5 mA-0.45 mA=0.05 mA) is calculated, and the difference is divided by the target real-time resistance current value (e.g., 0.05 mA / 0.45 mA), to obtain the transverse deviation rate (about 11.1%). The reason for using this relative deviation calculation method is that the absolute value of the resistance current is affected by factors such as working voltage fluctuation, and the relative deviation can better reflect the difference between the performance states of the two lightning arresters. Through this real-time comparison, the performance deviation of the first lightning arrester relative to the target lightning arrester can be found in time. In the transverse diagnosis mode judgment, in order to improve the accuracy, the longitudinal diagnosis mode in the comprehensive diagnosis mode is also used to comprehensively evaluate the longitudinal score value of the first lightning arrester itself, S1025: When the transverse deviation rate is less than the preset deviation threshold, and the longitudinal score value is less than the preset score threshold, it is confirmed that the first lightning arrester is in a normal state.

[0047] In S1025, after obtaining the transverse deviation rate and the longitudinal score value, the calculated transverse deviation rate (e.g., 11.1%) is compared with the preset deviation threshold (e.g., 15%), and the longitudinal score value (e.g., 75) of the first lightning arrester is compared with the preset score threshold (e.g., 80). When the transverse deviation rate is lower than the preset deviation threshold and the longitudinal score value is also lower than the preset score threshold, the running state of the first lightning arrester is determined to be normal. The two conditions are set because the transverse deviation rate reflects the performance difference between the first lightning arrester and the reference device, and the longitudinal score value reflects the historical change trend of its own performance, and the combination of the two can more comprehensively evaluate the running state of the lightning arrester.

[0048] For example, when the transverse deviation rate is 11.1%, which is less than the preset 15%, and the longitudinal score value is 75, which is less than the preset 80, it is indicated that the first lightning arrester not only has similar performance to the reference device, but also has no obvious performance degradation trend.

[0049] S1026: When the transverse deviation rate is greater than or equal to the preset deviation threshold, or the longitudinal score value is greater than or equal to the preset score threshold, it is confirmed that the first lightning arrester has internal faults.

[0050] In the above S1026, when the lateral deviation rate (e.g., 18%) exceeds the preset deviation threshold (e.g., 15%) or the longitudinal score value (e.g., 85) exceeds the preset score threshold (e.g., 80), the running state of the first lightning arrester is immediately determined as having internal failure. The judgment mechanism of this "or" logic is important because the performance degradation of the lightning arrester can manifest in different ways: it can be a significant deviation from the reference device (reflected in a larger lateral deviation rate), or it can be an accelerated performance degradation trend of its own (reflected in a higher longitudinal score value). For example, when the lateral deviation rate reaches 18%, even if the longitudinal score value is still within the normal range, it indicates that the first lightning arrester has deviated significantly from the same type of device; similarly, when the longitudinal score value reaches 85, even if the lateral deviation rate is small, it indicates that the device may have a potential failure risk.

[0051] S103: If there is no lightning arrester in the third lightning arrester set that matches the device model of the first lightning arrester, adopt a longitudinal diagnostic mode for the first lightning arrester, and obtain external environmental data of the first lightning arrester within a preset first time based on the longitudinal diagnostic mode; obtain multiple humidity and cumulative rainfall from the external environmental data, and calculate the average relative humidity from the multiple humidity.

[0052] In the above S103, if there is no lightning arrester in the third lightning arrester set that matches the device model of the first lightning arrester, it is confirmed that there is no other lightning arrester in the third lightning arrester set that is a reference device for the first lightning arrester, so the longitudinal diagnostic mode is automatically switched to evaluate the first lightning arrester. The external environmental data of the first lightning arrester within a preset first time (e.g., nearly 30 days) is collected by the environmental monitoring device. These environmental data include air humidity and rainfall information, which are usually collected at fixed time intervals (e.g., every hour). For example, the relative humidity value (e.g., 65%, 70%, 75%, etc.) and the cumulative rainfall (e.g., 15mm, 20mm, etc.) of the day are recorded every hour. Then, the multiple humidity data collected within the preset first time are calculated by arithmetic mean to obtain the average relative humidity value (e.g., 72%) within this period. The reason for adopting the longitudinal diagnostic mode and collecting environmental data is that when no suitable reference device is available, the performance of the lightning arrester under different environmental conditions needs to be analyzed to evaluate its running state. This longitudinal analysis method based on environmental data can accurately identify the impact of environmental changes on the performance of the lightning arrester by establishing a correlation between the performance of the lightning arrester and environmental factors.

[0053] S104: Determine the target environmental mode in which the first lightning arrester is currently located according to the cumulative rainfall and the average relative humidity.

[0054] In S104, after obtaining the accumulated rainfall and average relative humidity data, the target environment mode in which the first lightning arrester is currently located is determined according to the accumulated rainfall and average relative humidity. Specifically, when the average relative humidity is greater than the humidity threshold, and the accumulated rainfall is less than the rainfall threshold, it is determined that the target environment mode is a high humidity environment mode. A rainfall time sequence recorded at a preset time resolution within a preset first time is obtained, and a plurality of continuous rainfall periods in which the rainfall interval duration is less than a preset rainfall interruption time threshold are filtered out from the rainfall time sequence. The rainfall interval duration is the time interval between any two adjacent effective rainfall record points. The first duration of each continuous rainfall period is obtained, and the maximum value of the plurality of first durations is selected as the maximum continuous rainfall duration. When the maximum continuous rainfall duration is greater than a preset duration threshold, it is determined that the target environment mode is a continuous rainfall environment mode. If a rainfall event is monitored, a plurality of daily rainfall amounts within a preset backtracking duration from the starting time of the rainfall event are obtained, and the target number of days in which the daily rainfall amount is less than a preset daily rainfall threshold within the preset backtracking duration is counted. When the target number of days is greater than or equal to a preset drought number of days, the total rainfall amount of the rainfall event is obtained. If the total rainfall amount is greater than or equal to a heavy rainfall threshold, it is determined that the target environment mode is a drought followed by heavy rainfall environment mode.

[0055] Specifically, the calculated average relative humidity value (e.g., 88%) is compared with the preset humidity threshold (e.g., 85%), and the collected accumulated rainfall (e.g., 5 mm) is compared with the preset rainfall threshold (e.g., 20 mm). When it is detected that the average relative humidity 88% is greater than the humidity threshold 85%, and the accumulated rainfall 5 mm is less than the rainfall threshold 20 mm, it is determined that the current environment is a typical high humidity environment mode. This determination mechanism can accurately identify the environmental conditions in which the air humidity is high but no obvious rainfall is formed, such as the dew point temperature period in the morning or at night.

[0056] The rainfall data is recorded at a preset time resolution (e.g., every hour) to form a rainfall time sequence. For example, the rainfall data recorded in 24 consecutive hours may be: [0.5 mm, 0.8 mm, 0 mm, 0.3 mm, 1.2 mm,...]. A preset rainfall interruption time threshold (e.g., 4 hours) is set, and when the interval between any two rainfall record points is less than 4 hours, these rainfall record points are classified into the same continuous rainfall period. For each identified continuous rainfall period, the duration of the continuous rainfall period (the first duration) is calculated, such as a continuous rainfall period that lasts for 18 hours. The longest duration is selected from all continuous rainfall periods as the maximum continuous rainfall duration, and when the duration exceeds a preset duration threshold (e.g., 12 hours), it is determined that the current environment is a continuous rainfall environment mode.

[0057] When a new rainfall event is detected, the rainfall starting time is recorded first, and then the historical rainfall data in the preset time period (e.g., 30 days) is traced back. The daily rainfall data is counted, and the number of days with daily rainfall less than the preset daily rainfall threshold (e.g., 5 mm) is accumulated as the target number of days. For example, if there are 25 days with daily rainfall less than 5 mm in the past 30 days, and the target number of days 25 days is greater than the preset number of dry days (e.g., 20 days), the total rainfall of the current rainfall event is further calculated. If the total rainfall of the current rainfall event (e.g., 60 mm) is greater than the preset heavy rainfall threshold (e.g., 50 mm), the current environment is determined as a post-drought heavy rainfall environment mode. Through the detailed analysis of humidity and rainfall data, different types of adverse environmental conditions can be accurately identified, which helps to more accurately evaluate the influence of environmental factors on the performance of the lightning arrester, and further improves the accuracy of the state evaluation of the lightning arrester.

[0058] S105: retrieve the time correction factor corresponding to the target environment mode, and calculate the initial first time length according to the time correction factor to obtain the target first time length.

[0059] In the above S105, after determining the target environment mode, the time correction factor corresponding to the target environment mode is retrieved, and the initial first time length is calculated according to the time correction factor to obtain the target first time length, which specifically includes: when the target environment mode is a high humidity environment mode, a first humidity corresponding to a first time point is selected from a preset first time, and a second humidity corresponding to a second time point is selected, the first time point is earlier than the second time point; the first humidity and the second humidity are averaged to obtain an average humidity; when the average relative humidity is greater than the humidity threshold, the second time point is marked as the high humidity starting time; when the average relative humidity is greater than the humidity threshold, the current time and the high humidity starting time are calculated to obtain the high humidity duration; the first time correction factor is determined based on the high humidity duration and the initial first time length; the first time correction factor and the initial first time length are multiplied to obtain the target first time length.

[0060] Specifically, when the target environment mode is a high humidity environment mode, first, the humidity data sequence within a preset first time (30 days) is obtained from the environment monitoring database. Within this time span, the first humidity value (such as 85%) at the first time point (such as October 19, 202x 14:00) and the second humidity value (such as 87%) at the second time point (such as October 19, 202x 16:00) are selected. The data of these two time points are selected for calculation to ensure the continuity and stability of the humidity change. The arithmetic mean of the two humidity values is calculated ((85% + 87%) / 2 = 86%), and the average humidity 86% is obtained. When it is detected that the average humidity 86% calculated exceeds the preset humidity threshold (such as 80%), the second time point (October 19, 2025 16:00) is determined and marked as the high humidity starting time. The determination of this marked point is of great significance for subsequent calculation of the high humidity duration. Continue to monitor the average relative humidity of the current environment, and when it is found that the average relative humidity continues to exceed the humidity threshold, calculate the time difference from the high humidity starting time to the current time (such as October 29, 202x 16:00), and obtain the high humidity duration (240 hours). After converting the high temperature duration 240 hours into days (10 days), divide by the initial first duration 7 days to obtain the first time correction factor (10 / 7 ≈ 1.43). In order to prevent the window from being excessively shortened at the initial stage of the event (such as high humidity lasting only 1 day) and causing misjudgment, the time correction factor needs to be set to a lower limit value, that is, the minimum time correction factor, and the time correction factor is greater than or equal to 1. The minimum time correction factor specifies that in the most dangerous case, how much the time window can be shortened at most, which can prevent the time window from being shortened to a length of a few minutes. The minimum time correction factor can be set to 1, that is, only the initial first duration is extended, not shortened. Multiply the first time correction factor by the initial first duration to obtain the target first duration of 10 days. The above setting of the initial first duration as 7 days is only for illustration, and the initial first duration can be set based on actual conditions, which is not limited here.

[0061] In addition, when the target environment mode is a continuous rainfall environment mode, a plurality of continuous rainfall periods are added to obtain a rainfall duration; the rainfall duration is divided by the initial first duration to obtain a second time correction factor, and the initial first duration and the second time correction factor are multiplied to obtain the target first duration.

[0062] Specifically, when the target environment mode is a continuous rainfall environment mode, the rainfall records are extracted from the meteorological database, and a plurality of continuous rainfall periods are identified and counted. For example, three continuous rainfall periods are detected: the first lasts for 18 hours, the second lasts for 12 hours, and the third lasts for 24 hours. The system adds the durations of these rainfall periods (18+12+24=54 hours) to obtain a total rainfall duration of 54 hours.

[0063] After converting the rainfall duration of 54 hours into days (about 2.25 days), and dividing it by the initial first duration of 7 days, a second time correction factor is obtained (2.25 / 7≈0.32). Similarly, since the second time correction factor cannot be less than the minimum time correction factor, the minimum time correction factor is directly output as the second time correction factor at this time, and the second time correction factor is multiplied by the initial first duration to obtain the target first duration of 7 days. By dynamically adjusting the initial first duration with the time correction factor, the evaluation period can be optimized according to the actual environmental conditions. For example, in a high humidity environment, the performance of the lightning arrester may accelerate the degradation, and the evaluation period needs to be extended to capture the complete performance change process; in a continuous rainfall environment, the operating state of the lightning arrester may fluctuate periodically, and the data collection duration also needs to be appropriately extended to ensure the accuracy of the evaluation.

[0064] Further, when the target environment mode is the dry and heavy rainfall environment mode, a second duration of the rainfall event is obtained, and the total rainfall amount is divided by the second duration to obtain the cumulative rainfall intensity; according to the ratio of the cumulative rainfall intensity to the preset critical dangerous rainfall intensity, a danger index is obtained; based on the danger index, a third time correction factor is determined through a preset function, wherein the higher the danger index, the closer the third time correction factor is to the minimum time correction factor; the third time correction factor is multiplied by the initial first duration to obtain the target first duration.

[0065] Specifically, when the target environment mode is identified as a drought followed by heavy rainfall environment mode, the detailed information of the current rainfall event is first extracted from the meteorological monitoring database. The second duration (e.g., 4 hours) and the corresponding total rainfall data (e.g., 80 mm) of the rainfall event are obtained. By dividing the total rainfall of 80 mm by the second duration of 4 hours, the cumulative rainfall intensity of 20 mm / hour is calculated. This calculation method of cumulative rainfall intensity reflects the intensity of rainfall, providing an important basic parameter for subsequent risk assessment. Subsequently, the calculated cumulative rainfall intensity of 20 mm / hour is compared with the pre-set critical dangerous rainfall intensity (e.g., 15 mm / hour) to obtain a risk index of 1.33 reflecting the degree of rainfall danger. This risk index directly reflects the degree to which the current rainfall intensity exceeds the safety threshold, and a risk index greater than 1 indicates that the current rainfall intensity has exceeded the safety threshold, and the larger the value, the higher the potential risk. A pre-set non-linear function (e.g., an exponential decay function) is used to map the risk index (1.33) to a third time correction factor. When the risk index is 1, the corresponding third time correction factor is about 1.8; when the risk index is 1.5, the third time correction factor is about 1.4; and when the risk index is 2, the third time correction factor is close to the minimum time correction factor of 1. In this example, the risk index of 1.33 is substituted into the function to calculate the third time correction factor of about 1.5. This mapping mechanism based on the exponential function ensures that the time correction factor decreases smoothly as the risk increases, avoiding evaluation bias caused by sudden changes. Finally, the calculated third time correction factor of 1.5 is multiplied by the initial first duration of 7 days to obtain a target first duration of 10.5 days. This modified evaluation duration will be used in the subsequent data collection and state evaluation process. For example, the operating data of the first arrester, including the resistive current and other key parameters, are collected within the 10.5-day time window for a comprehensive evaluation of the performance of the device under the drought followed by heavy rainfall environment.

[0066] This environment-adaptive duration adjustment mechanism not only improves the accuracy and reliability of state evaluation, but also better adapts to the operating characteristics of arresters under different climate conditions. By reasonably setting the evaluation period, the sufficiency of data is ensured, and the waste of computing resources caused by excessive frequent evaluation is avoided.

[0067] S106: Obtain the real-time resistive current value of the first arrester at the current time, and a plurality of first resistive current values of the first arrester within the target first duration. Calculate the average of the plurality of first resistive current values to obtain a first average value. Obtain a plurality of second resistive current values of the first arrester within the initial second duration, and calculate the average of the plurality of second resistive current values to obtain a second average value.

[0068] In S106, the real-time resistive current value of the first surge arrester at the current time (e.g. October 21, 202x 14:00) is obtained by the online monitoring device, which reflects the current operation state of the surge arrester. Meanwhile, the historical operation data of the first surge arrester within the target first time length (e.g. 10.5 days calculated above) is retrieved from the database, and a plurality of first resistive current values are extracted. These first resistive current values include resistive current measurement values collected at fixed time intervals (e.g. every hour) within the 10.5-day time window, for example, a total of 252 measurement data points are obtained. The first resistive current values are arithmetically averaged to obtain a first average value reflecting the recent operation state.

[0069] In addition, the historical operation data of the first surge arrester within the initial second time length (30 days) is also extracted from the database, and a plurality of second resistive current values are obtained. These second resistive current values are also collected at fixed time intervals within the 30-day time window, a total of about 720 measurement data points are obtained. The second resistive current values are arithmetically averaged to obtain a second average value reflecting the long-term operation state. The average values of the target first time length and the initial second time length are calculated because the performance degradation of the surge arrester has different time characteristics. The first average value of the short term can reflect the recent trend of the performance of the surge arrester, which helps to find sudden abnormalities in time; while the second average value of the longer term can reflect the gradual trend of the performance of the surge arrester, which helps to identify the slow degradation process of the device. By setting the initial second time length (30 days) greater than the initial first time length (7 days), a multi-time scale evaluation system is established, which can more comprehensively capture the dynamic change characteristics of the performance of the surge arrester. Among them, the initial first time length is usually set to a shorter period (e.g. 7 days) to capture recent performance fluctuations; while the initial second time length is set to a relatively longer period (e.g. 30 days or more) to establish a stable performance baseline and reflect medium-term or long-term trends. The design of the initial second time length being greater than the initial first time length helps to comprehensively evaluate the device state from different time scales.

[0070] S107: Determine a plurality of basic scores based on the real-time resistive current value, the first average value, and the second average value.

[0071] In S107, the plurality of basic scores are determined based on the real-time resistive current value, the first average value and the second average value by using a hierarchical scoring mechanism. The plurality of basic scores are determined based on the real-time resistive current value, the first average value and the second average value, which specifically includes: dividing the difference between the real-time resistive current value and the first average value by the first average value to obtain a short-term fluctuation deviation rate; dividing the difference between the first average value and the second average value by the second average value to obtain a medium-term trend deviation rate; comparing the real-time resistive current value with the first current threshold value and the second current threshold value, and determining a real-time current basic score according to the real-time comparison result; comparing the short-term fluctuation deviation rate with the first fluctuation rate threshold value and the second fluctuation rate threshold value, and determining a short-term fluctuation basic score according to the short-term comparison result; comparing the medium-term trend deviation rate with the first trend rate threshold value and the second trend rate threshold value, and determining a medium-term trend basic score according to the medium-term comparison result, wherein the real-time current basic score, the short-term fluctuation basic score and the medium-term trend basic score together constitute the plurality of basic scores.

[0072] Specifically, the short-term fluctuation deviation rate of the real-time resistive current value and the first average value, and the medium-term trend deviation rate of the first average value and the second average value are calculated first. For example, when the real-time resistive current value is 1.2 mA, the first average value is 1.0 mA, and the second average value is 0.9 mA, the short-term fluctuation deviation rate is calculated as (1.2-1.0) / 1.0*100%=20%, which represents the short-term fluctuation degree of the arrester performance; and the medium-term trend deviation rate is calculated as (1.0-0.9) / 0.9*100%=11.1%, which reflects the medium-term change trend of the arrester performance. In the real-time current level evaluation stage, the first current threshold value and the second current threshold value are set first, the first current threshold value is smaller than the second current threshold value, and the real-time resistive current value is compared with the first current threshold value and the second current threshold value, and the scoring rules are as follows: when the real-time resistive current value is less than the first current threshold value, the real-time first current basic score is 75 points due to the small value; when the real-time resistive current value is greater than or equal to the first current threshold value and less than the second current threshold value, the real-time second current basic score is 85 points due to the medium value; and when the real-time resistive current value is greater than or equal to the second current threshold value, the real-time third current basic score is 95 points due to the large value. In this example, the real-time resistive current value 1.2 mA obtains the real-time second current basic score 85 points.

[0073] In the short-term fluctuation evaluation stage, the first fluctuation threshold is set to 10%, and the second fluctuation threshold is set to 30%. When the short-term fluctuation deviation rate 20% calculated above is compared with the two thresholds, the following scoring rules are adopted: when the short-term fluctuation deviation rate is less than the first fluctuation threshold 10%, the short-term first fluctuation basic score of 75 points is given due to the small fluctuation; when the short-term fluctuation deviation rate is greater than or equal to the first fluctuation threshold 10% and less than the second fluctuation threshold 30%, the short-term second fluctuation basic score of 85 points is given due to the moderate fluctuation; when the short-term fluctuation deviation rate is greater than or equal to the second fluctuation threshold 30%, the short-term third fluctuation basic score of 95 points is given due to the large fluctuation. In this example, the short-term fluctuation deviation rate 20% obtains the short-term second fluctuation basic score of 85 points.

[0074] In the medium-term trend evaluation stage, the first trend threshold is set to 5%, and the second trend threshold is set to 25%. When the medium-term trend deviation rate 11.1% calculated above is compared with the two thresholds, the following scoring rules are adopted: when the medium-term trend deviation rate is less than the first trend threshold 5%, the medium-term first trend basic score of 75 points is given due to the small trend change; when the medium-term trend deviation rate is greater than or equal to the first trend threshold 5% and less than the second trend threshold 25%, the medium-term second trend basic score of 85 points is given due to the moderate trend change; when the medium-term trend deviation rate is greater than or equal to the second trend threshold 25%, the medium-term third trend basic score of 95 points is given due to the large trend change. In this example, the medium-term trend deviation rate 11.1% obtains the medium-term second trend basic score of 85 points. Since the increase of the resistive current value during the operation of the arrester often means that the performance of the device changes significantly, it needs to attract more attention. By giving higher basic scores to larger current values, larger fluctuation rates and larger trend changes, the abnormal changes of the device state can be more sensitively captured. When the operating state of the arrester begins to deviate from the normal range, the corresponding basic score will increase accordingly, forming a kind of "early warning" mechanism.

[0075] S108: Retrieve the weight coefficients corresponding to the plurality of basic scores in the target environment mode, and perform weighted summation calculation on the plurality of basic scores and the respective corresponding weight coefficients to obtain a longitudinal score value.

[0076] In the above S108, according to the difference of the performance characteristics of the arrester in different environment modes, the real-time current basic score, the short-term fluctuation basic score and the medium-term trend basic score are respectively set with corresponding weight coefficients, so as to realize the accurate evaluation of the operating state of the arrester. First, the current target environment mode is identified. In the normal environment mode, the basic weight configuration can be adopted, the real-time current basic score weight is 0.2, the short-term fluctuation basic score weight is 0.3, and the medium-term trend basic score weight is 0.5. This weight distribution reflects that more attention is paid to the long-term trend of the performance of the arrester in the normal environment.

[0077] In the high humidity environment mode, since the environmental humidity will significantly affect the instantaneous performance of the surge arrester, the weight configuration is adjusted accordingly: the real-time current basic score weight is increased to 0.4, the short-term fluctuation basic score weight is 0.4, and the medium-term trend basic score weight is reduced to 0.2. This weight configuration strengthens the monitoring of the real-time state and short-term fluctuations. In the high humidity environment mode, since the environmental humidity will significantly affect the instantaneous performance of the surge arrester, the weight configuration is adjusted accordingly: the real-time current basic score weight is increased to 0.4, the short-term fluctuation basic score weight is 0.4, and the medium-term trend basic score weight is reduced to 0.2. This weight configuration strengthens the monitoring of the real-time state and short-term fluctuations. In the drought and heavy rain environment mode, since the dramatic changes in the environment can cause significant fluctuations in the performance of the surge arrester, a more special weight configuration is set: the real-time current basic score weight is 0.4, the short-term fluctuation basic score weight is 0.5, and the medium-term trend basic score weight is reduced to 0.1. This configuration pays more attention to the capture of instantaneous changes. The principle of setting different weight coefficients for different environment modes is: in high humidity or rainfall and other environments that can easily lead to an increase in the surface conductivity of external insulation, the real-time value and short-term fluctuations of resistive current are more sensitive to the external environment, so their weights should be increased accordingly; while in normal environment, the long-term trend is more reflective of internal defects such as valve piece aging, so the weight of the medium-term trend basic score should be higher.

[0078] For example, when the first surge arrester is currently in a high humidity environment mode, if the real-time current basic score is 85 points, the short-term fluctuation basic score is 85 points, and the medium-term trend basic score is 85 points, the calculation process of the longitudinal score value is: 85x0.4+85x0.4+85x0.2=85 points. Through this weighted calculation, a score value is obtained that can reflect the comprehensive state of the surge arrester under the current environmental characteristics. The performance characteristics of the surge arrester will change significantly with changes in environmental conditions. By setting weight coefficients that match the environmental characteristics, the actual operating state of the surge arrester under different environmental conditions can be more accurately evaluated.

[0079] S109: When the longitudinal score value is greater than or equal to the preset score threshold, it is determined that the first surge arrester has an internal fault, and a warning information is generated according to the internal fault.

[0080] In the above S109, the longitudinal score value is compared with a preset score threshold based on the calculation, and the preset score threshold is based on statistical analysis of a large amount of historical operation data, fully considering the performance change characteristics of the lightning arrester under different environmental conditions. When the longitudinal score value is greater than or equal to the preset score threshold, it is confirmed that the first lightning arrester has an internal fault, and the pre-warning information is generated according to the internal fault, specifically including: when the longitudinal score value is greater than or equal to the preset score threshold, the multiple body temperatures of the first lightning arrester within the preset second time are confirmed to be called from the infrared thermal image display device; the multiple body temperatures are calculated according to the least square method to obtain a temperature change rate; when the temperature change rate is greater than or equal to a preset temperature change rate, it is confirmed that the first lightning arrester has an internal fault, and the emergency pre-warning information is generated according to the internal fault; when the temperature change rate is less than the preset temperature change rate, it is confirmed that the first lightning arrester is in a suspected abnormal state, and the pre-warning information is changed to the attention prompt information according to the suspected abnormal state.

[0081] Specifically, when the longitudinal score value is greater than the preset score threshold, the temperature monitoring process needs to be started immediately to avoid misjudgment that may be caused by relying only on electrical parameters, because the abnormality of resistive current may be caused by external factors such as device surface contamination or adverse weather. For example, the longitudinal score value is 85 points, and the preset score threshold is set to 80 points. The longitudinal score value is greater than the preset score threshold, and the temperature monitoring process is started immediately. In the temperature monitoring stage, multiple body temperature data of the first surge arrester in a preset second time (such as the last 4 hours) are retrieved from the infrared thermal image display device. For example, temperature data is collected every 30 minutes, and 8 temperature data points are obtained in 4 hours: 35℃, 36℃, 37.5℃, 39℃, 41℃, 43℃, 45.5℃, and 48℃. These temperature data reflect the dynamic change process of the body temperature of the surge arrester. Subsequently, the least square method is used to process these temperature data to calculate the temperature change rate. The specific calculation process is as follows: mark the time points as the x-axis (0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, and 4.0 hours), and mark the temperature as the y-axis (35, 36, 37.5, 39, 41, 43, 45.5, and 48℃). The straight line equation y=kx+b is fitted by the least square method, and the slope k is the temperature change rate, which is calculated to be 3.2℃ / hour in this example. The calculated temperature change rate 3.2℃ / hour is compared with the preset temperature change rate (such as 2.5℃ / hour). When the temperature change rate is greater than or equal to the preset temperature change rate, it indicates that the device temperature rises rapidly, confirming that the first surge arrester has internal failure, and an emergency warning information is generated: "Emergency warning: the first surge arrester is confirmed to have internal failure. Device location: substation A area; failure time: October 21, 202x 14:30; current temperature: 48℃; temperature change rate: 3.2℃ / hour; resistive current score: 85 points; it is recommended to shut down for maintenance immediately." On the contrary, when the temperature change rate is less than the preset temperature change rate, it is determined that the first surge arrester is in a suspected abnormal state, and the warning information is changed to a focus prompt information: "Focus prompt: the first surge arrester appears suspected abnormality. Device location: substation A area; monitoring time: October 21, 202x 14:30:00; current temperature: 48℃; temperature change rate: 2.3℃ / hour; resistive current score: 85 points; it is recommended to strengthen monitoring." Through this multi-dimensional fault judgment method, not only the accuracy of fault diagnosis is improved, but also differentiated warning information is provided according to the severity of the fault, effectively supporting scientific decision-making of operation and maintenance personnel. Especially in complex operating environment, this comprehensive judgment mechanism combining electrical parameters and temperature characteristics can more accurately identify real internal faults, avoid unnecessary shutdown for maintenance, and also will not miss real fault hidden dangers.

[0082] Further, when the longitudinal score value is less than the preset score threshold, it is confirmed that the first lightning arrester is in a normal state, and the state of other lightning arresters to be monitored in the power system is monitored by subsequently referring to the above-mentioned manner of evaluating the state of the first lightning arrester, so as to find out the lightning arrester to be repaired and send it to the repair personnel, so that the repair personnel can timely process.

[0083] In a possible implementation, when the service life of the first lightning arrester is less than the preset service life, the preset score threshold can be set by statistical analysis of a large amount of historical operation data. The preset service life can be set to 2 years, and the specific setting can be selected based on the actual situation, which is not limited here. Once the service life of the first lightning arrester is greater than or equal to the preset service life, the preset score threshold needs to be preliminarily adjusted based on the target environment mode currently where the first lightning arrester is located, to obtain a target score threshold. In the high-temperature environment mode, the current high-humidity duration can be converted into high-humidity days, and the ratio of the high-humidity days to the initial first duration is taken as a humidity influence factor, and the target score threshold = preset score threshold * (1-humidity influence factor). In the continuous rainfall environment mode, the ratio of the continuous rainfall event to the preset reference time is taken as a rainfall influence factor, different intensity coefficients are determined according to the rainfall intensity classification, and the target score threshold = preset score threshold * (1-rainfall influence factor*intensity coefficient). In the drought and heavy rainfall environment mode, a drought influence factor is determined based on the drought duration, and a rainfall impact factor is determined based on the rainfall intensity change rate, and the target score threshold = preset score threshold * (1-drought influence factor*rainfall impact factor). After the first lightning arrester is evaluated and a target longitudinal score value is obtained, the preset score threshold needs to be adjusted according to the target environment mode currently where the first lightning arrester is located, to obtain a target score threshold. The target longitudinal score value is compared with the target score threshold. When the target longitudinal score value is less than the target score threshold, it is confirmed that the first lightning arrester is in a normal state. When the target longitudinal score value is greater than or equal to the target score threshold, it is confirmed that the first lightning arrester has an internal fault, and a warning information is generated according to the internal fault, so that the maintenance personnel can timely maintain.

[0084] The application further provides an evaluation device for the state of a lightning arrester, Figure 2 which is a structural schematic diagram of an evaluation device for the state of a lightning arrester provided by the application, referring to Figure 2 The device comprises a calling unit 201, a first processing unit 202, a second processing unit 203, and a confirming unit 204. The calling unit 201 calls the target belonging station and the target voltage level of the first lightning arrester, filters a plurality of second lightning arresters with the same target belonging station and target voltage level from the lightning arrester cluster, and selects lightning arresters different from the first lightning arrester from the plurality of second lightning arresters to obtain a third lightning arrester set. The first processing unit 202 adopts a longitudinal diagnosis mode for the first lightning arrester if there is no lightning arrester consistent with the device model of the first lightning arrester in the third lightning arrester set, and obtains external environment data of the first lightning arrester within a preset first time based on the longitudinal diagnosis mode; a plurality of humidities and accumulated rainfall amounts are obtained from the external environment data, the plurality of humidities are calculated to obtain an average relative humidity, and a target environment mode in which the first lightning arrester is currently located is determined according to the accumulated rainfall amounts and the average relative humidity; a time correction factor corresponding to the target environment mode is called, and a target first time length is calculated according to the time correction factor to obtain the target first time length. The second processing unit 203 obtains a real-time resistive current value of the first lightning arrester at the current time, and a plurality of first resistive current values of the first lightning arrester within the target first time length, and obtains a first average value by averaging the plurality of first resistive current values; a plurality of second resistive current values of the first lightning arrester within an initial second time length are obtained, and a second average value is obtained by averaging the plurality of second resistive current values, wherein the initial second time length is greater than the initial first time length; a plurality of basic scores are determined based on the real-time resistive current value, the first average value, and the second average value; and a weight coefficient corresponding to the plurality of basic scores in the target environment mode is called, and the plurality of basic scores and the respective weight coefficients are weighted and summed to obtain a longitudinal score value. The confirmation unit 204 confirms that the first lightning arrester has an internal fault when the longitudinal score value is greater than or equal to a preset score threshold, and generates a warning information according to the internal fault.

[0085] In a possible implementation, the first processing unit 202 is configured to obtain a first commissioning time point of the first lightning arrester and a second commissioning time point of a target lightning arrester if there is a lightning arrester consistent with the device model of the first lightning arrester in the third lightning arrester set, wherein the target lightning arrester is the lightning arrester consistent with the device model of the first lightning arrester in the third lightning arrester set; an interval length is obtained by calculating the first commissioning time point and the second commissioning time point; the confirmation unit 204 is configured to confirm that the target lightning arrester is used as a reference device of the first lightning arrester when the interval length is less than or equal to a preset interval length, and adopt a comprehensive diagnosis mode for the first lightning arrester, wherein the comprehensive diagnosis mode includes a longitudinal diagnosis mode and a transverse diagnosis mode; the second processing unit 203 is configured to obtain a target real-time resistive current value of the target lightning arrester based on the transverse diagnosis mode, divide a difference between the real-time resistive current value and the target real-time resistive current value by the target real-time resistive current value to obtain a transverse deviation rate, and obtain a longitudinal score value of the first lightning arrester based on the longitudinal diagnosis mode; and the confirmation unit 204 is configured to confirm that the first lightning arrester is in a normal state when the transverse deviation rate is less than a preset deviation threshold and the longitudinal score value is less than a preset score threshold, and confirm that the first lightning arrester has an internal fault when the transverse deviation rate is greater than or equal to the preset deviation threshold or the longitudinal score value is greater than or equal to the preset score threshold.

[0086] In a possible implementation, the confirmation unit 204 is configured to confirm that the target environment mode is a high-humidity environment mode when the average relative humidity is greater than the humidity threshold value and the accumulated rainfall amount is less than the rainfall amount threshold value; the first processing unit 202 is configured to obtain a rainfall time sequence recorded at a preset time resolution within a preset first time, filter a plurality of continuous rainfall periods with a rainfall interval duration less than a preset rainfall interruption time threshold value from the rainfall time sequence, the rainfall interval duration being a time interval between any two adjacent effective rainfall recording points; obtain a first duration of each continuous rainfall period, and select a maximum value from the plurality of first durations as a maximum continuous rainfall duration; the confirmation unit 204 is configured to confirm that the target environment mode is a continuous rainfall environment mode when the maximum continuous rainfall duration is greater than a preset duration threshold value; if a rainfall event is monitored, a plurality of daily rainfall amounts within a preset backtracking duration from a starting time of the rainfall event are obtained, and a target number of days with daily rainfall amounts less than a preset daily rainfall threshold value within the preset backtracking duration is counted; the first processing unit is configured to obtain a total rainfall amount of the rainfall event when the target number of days is greater than or equal to a preset drought number of days; and the confirmation unit is configured to confirm that the target environment mode is a drought-after-strong-rainfall environment mode if the total rainfall amount is greater than or equal to a strong rainfall threshold value.

[0087] In a possible implementation, the calling unit 201 is configured to select a first humidity corresponding to a first time point and a second humidity corresponding to a second time point from a preset first time when the target environment mode is a high-humidity environment mode, the first time point being earlier than the second time point; the first processing unit 202 is configured to obtain an average humidity by averaging the first humidity and the second humidity; the second time point is marked as a high-humidity starting time when the average humidity is greater than the humidity threshold value; a high-humidity duration is obtained by calculating a current time and the high-humidity starting time when the average relative humidity is greater than the humidity threshold value; a first time correction factor is determined based on the high-humidity duration and an initial first duration; a target first duration is obtained by multiplying the first time correction factor and the initial first duration; the rainfall duration is obtained by adding the plurality of continuous rainfall periods when the target environment mode is a continuous rainfall environment mode; a second time correction factor is determined based on the rainfall duration and the initial first duration, and the target first duration is obtained by multiplying the initial first duration and the second time correction factor.

[0088] In a possible implementation, the calling unit 201 is configured to, when the target environment mode is the post-drought heavy rainfall environment mode, acquire a second duration of the rainfall event, divide the total rainfall amount by the second duration to obtain a cumulative rainfall intensity; the first processing unit 202 is configured to obtain a hazard index according to a ratio of the cumulative rainfall intensity to a preset critical dangerous rainfall intensity; determine a third time correction factor based on the hazard index through a preset function, wherein the higher the hazard index, the closer the third time correction factor to the minimum time correction factor; and multiply the third time correction factor and the initial first duration to obtain the target first duration.

[0089] In a possible implementation, the second processing unit 203 is configured to divide a difference between the real-time resistive current value and the first average value by the first average value to obtain a short-term fluctuation deviation rate; divide a difference between the first average value and the second average value by the second average value to obtain a medium-term trend deviation rate; compare the real-time resistive current value with the first current threshold and the second current threshold, and determine a real-time current basic score according to a real-time comparison result; compare the short-term fluctuation deviation rate with the first fluctuation rate threshold and the second fluctuation rate threshold, and determine a short-term fluctuation basic score according to a short-term comparison result; compare the medium-term trend deviation rate with the first trend rate threshold and the second trend rate threshold, and determine a medium-term trend basic score according to a medium-term comparison result, wherein the real-time current basic score, the short-term fluctuation basic score, and the medium-term trend basic score together constitute a plurality of basic scores.

[0090] In a possible implementation, the confirming unit 204 is configured to, when the longitudinal score value is greater than or equal to a preset score threshold, confirm a plurality of body temperatures of the first lightning arrester in a preset second time from the infrared thermal image display device; the second processing unit 203 is configured to calculate the plurality of body temperatures according to a least square method to obtain a temperature change rate; the confirming unit 204 is configured to, when the temperature change rate is greater than or equal to a preset temperature change rate, confirm that the first lightning arrester has an internal fault, and generate an emergency warning information according to the internal fault; and when the temperature change rate is less than the preset temperature change rate, confirm that the first lightning arrester is in a suspected abnormal state, and change the warning information to an attention prompt information according to the suspected abnormal state.

[0091] It should be noted that the apparatus provided in the above embodiments is only used to illustrate the division of the above functional modules, and in actual applications, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules to complete all or part of the above described functions. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be repeated here.

[0092] The application also discloses an electronic device. Referring to Figure 3 ,Figure 3 A structural schematic diagram of an electronic device is provided for an embodiment of the present application. The electronic device 300 can include at least one processor 301, at least one network interface 304, a user interface 303, a memory 302, and at least one communication bus 305.

[0093] The communication bus 305 is configured to realize the connection and communication between the components.

[0094] The user interface 303 can include a display and a camera. Optionally, the user interface 303 can further include a standard wired interface and a wireless interface.

[0095] The network interface 304 can optionally include a standard wired interface and a wireless interface (e.g., a WI-FI interface).

[0096] The processor 301 can include one or more processing cores. The processor 301 is connected to various parts of the server through various interfaces and lines, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 302, and calling data stored in the memory 302. Optionally, the processor 301 can be implemented in at least one of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 301 can be integrated with a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU is mainly used to process operating systems, user interfaces, and application requests. The GPU is responsible for rendering and drawing the content to be displayed on the display. The modem is used to process wireless communication. It can be understood that the above-mentioned modem can also not be integrated into the processor 301, but can be realized by a separate chip.

[0097] The memory 302 can include a random access memory (RAM) and a read-only memory (ROM). Optionally, the memory 302 includes a non-transitory computer-readable storage medium. The memory 302 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 302 can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. The data storage area can store data related to the above-mentioned various method embodiments, etc. The memory 302 can also be at least one storage device located away from the processor 301.

[0098] As shown in Figure 3 , the memory 302 as a computer storage medium can include an operating system, a network communication module, a user interface module, and an application program for evaluating the state of a lightning arrester.

[0099] In the electronic device 300 as shown in Figure 3 , the user interface 303 is mainly used to provide an interface for user input and obtain data input by the user; and the processor 301 can be used to call the application program stored in the memory 302 for evaluating the state of a lightning arrester, and when executed by one or more processors, make the electronic device perform the method described in one or more of the above embodiments.

[0100] It should be noted that, for the above-mentioned various method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0101] In the above embodiments, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0102] In several embodiments provided in the present application, it should be understood that the disclosed apparatus can be implemented in other manners. For example, the division of the apparatus embodiments described above is merely illustrative, and the units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, and can be in electrical or other forms.

[0103] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they can be located in one place or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0104] In addition, the functional units in each embodiment of the present application can be integrated into a processing unit, or each unit can be physically present separately, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0105] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable memory. Based on this understanding, the technical solutions of the present application essentially or the part of the prior art that contributes to the technical solutions or all or part of the technical solutions can be embodied in the form of a software product, which is stored in a memory and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: a U disk, a mobile hard disk, a magnetic or optical disk, and various program code storage media.

[0106] The above is only exemplary embodiments of the present disclosure, which cannot limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon considering the specification and practicing the true principles of the present disclosure. The present application is intended to cover any variations, uses or adaptive changes of the present disclosure that follow the general principles of the present disclosure and include common knowledge or conventional techniques in the art not disclosed by the present disclosure.

Claims

1. A method of evaluating a state of a surge arrester, characterized by, The method comprises: The method comprises: If the third arrester set does not exist the arrester consistent with the device model of the first arrester, the longitudinal diagnosis mode is adopted for the first arrester, the external environment data of the first arrester within a preset first time is obtained based on the longitudinal diagnosis mode; The average relative humidity is obtained by calculating a plurality of humidities from the external environment data; The target environment mode in which the first arrester is currently located is determined according to the cumulative rainfall and the average relative humidity; a time correction factor corresponding to the target environment mode is called, and the initial first time length is calculated according to the time correction factor to obtain a target first time length; The real-time resistive current value of the first arrester at the current time is obtained, and a plurality of first resistive current values of the first arrester within the target first time length are obtained; the first average value is obtained by averaging a plurality of first resistive current values; a plurality of second resistive current values of the first arrester within an initial second time length are obtained, and the second average value is obtained by averaging a plurality of second resistive current values, wherein the initial second time length is greater than the initial first time length; The plurality of basic scores are determined based on the real-time resistive current value, the first average value and the second average value; the weight coefficients corresponding to the plurality of basic scores in the target environment mode are called, and the weighted sum calculation of the plurality of basic scores and the respective corresponding weight coefficients is performed to obtain the longitudinal score value; When the longitudinal score value is greater than or equal to a preset score threshold, it is confirmed that the first arrester has internal faults, and the warning information is generated according to the internal faults. After the third arrester set is obtained by selecting the arrester different from the device of the first arrester from a plurality of second arresters, the method further comprises:

2. The method of claim 1, wherein, If the third arrester set exists the arrester consistent with the device model of the first arrester, the first operation time point of the first arrester is obtained, and the second operation time point of the target arrester is obtained, wherein the target arrester is the arrester consistent with the device model of the first arrester in the third arrester set; The interval length is obtained by calculating the first operation time point and the second operation time point; When the interval length is less than or equal to a preset interval length, the target arrester is confirmed as the reference device of the first arrester, the comprehensive diagnosis mode is adopted for the first arrester, and the comprehensive diagnosis mode comprises the longitudinal diagnosis mode and the longitudinal diagnosis mode; ​ obtaining a target real-time resistive current value of the target lightning arrester based on the transverse diagnostic mode, dividing a difference between the real-time resistive current value and the target real-time resistive current value by the target real-time resistive current value to obtain a transverse deviation rate, and obtaining the longitudinal score value of the first lightning arrester based on the longitudinal diagnostic mode; when the transverse deviation rate is less than a preset deviation threshold and the longitudinal score value is less than a preset score threshold, confirming that the first lightning arrester is in a normal state; when the transverse deviation rate is greater than or equal to the preset deviation threshold or the longitudinal score value is greater than or equal to the preset score threshold, confirming that the first lightning arrester has the internal fault.

3. The method of claim 1, wherein, The target environment mode in which the first lightning arrester is currently located is determined according to the cumulative rainfall and the average relative humidity, and specifically includes the following steps: when the average relative humidity is greater than a humidity threshold and the cumulative rainfall is less than a rainfall threshold, confirming that the target environment mode is a high-humidity environment mode; obtaining a rainfall time sequence recorded at a preset time resolution within a preset first time, screening a plurality of continuous rainfall periods with a rainfall interval duration less than a preset rainfall interruption time threshold from the rainfall time sequence, the rainfall interval duration being a time interval between any two adjacent effective rainfall record points; obtaining a first duration of each of the continuous rainfall periods, and selecting a maximum value from a plurality of the first durations as a maximum continuous rainfall duration; when the maximum continuous rainfall duration is greater than a preset duration threshold, confirming that the target environment mode is a continuous rainfall environment mode; if a rainfall event is monitored, obtaining a plurality of daily rainfall amounts within a preset backtracking duration from a starting time of the rainfall event, and counting a target number of days in which the daily rainfall amount within the preset backtracking duration is less than a preset daily rainfall threshold; when the target number of days is greater than or equal to a preset drought number of days, obtaining a total rainfall amount of the rainfall event; if the total rainfall amount is greater than or equal to a heavy rainfall threshold, confirming that the target environment mode is a drought-after-heavy-rainfall environment mode.

4. The method of claim 3, wherein, The time correction factor includes a first time correction factor and a second time correction factor, the time correction factor corresponding to the target environment mode is called, and an initial first duration is calculated according to the time correction factor to obtain a target first duration, and specifically includes the following steps: when the target environment mode is the high-humidity environment mode, a first humidity corresponding to a first time point is selected from the preset first time, and a second humidity corresponding to a second time point is selected, the first time point being earlier than the second time point; an average humidity is obtained by averaging the first humidity and the second humidity; when the average humidity is greater than a humidity threshold, the second time point is marked as a high-humidity starting time; when the average relative humidity is greater than the humidity threshold, a high-humidity duration is obtained by calculating the current time and the high-humidity starting time; the first time correction factor is determined based on the high-humidity duration and the initial first duration; the second time correction factor is determined based on the high-humidity duration and the initial first duration. The first time correction factor is multiplied by the initial first time length to obtain the target first time length. When the target environment mode is the continuous rainfall environment mode, a plurality of continuous rainfall periods are added to obtain a rainfall duration; The second time correction factor is determined based on the rainfall duration and the initial first time length, and the initial first time length is multiplied by the second time correction factor to obtain the target first time length.

5. The method of claim 3, wherein, The time correction factor also includes a third time correction factor, the target environment mode corresponding to the time correction factor is called, and the initial first time length is calculated according to the time correction factor to obtain the target first time length, specifically including: When the target environment mode is the strong rainfall after drought environment mode, a second duration of the rainfall event is obtained, the total rainfall amount is divided by the second duration to obtain a cumulative rainfall intensity; A risk index is obtained according to the ratio of the cumulative rainfall intensity to a preset critical dangerous rainfall intensity; A third time correction factor is determined based on the risk index through a preset function, wherein the higher the risk index, the closer the third time correction factor to a minimum time correction factor; The third time correction factor is multiplied by the initial first time length to obtain the target first time length.

6. The method of claim 1, wherein, The plurality of basic scores are determined based on the real-time resistive current value, the first average value and the second average value, specifically including: The difference between the real-time resistive current value and the first average value is divided by the first average value to obtain a short-term fluctuation deviation rate; the difference between the first average value and the second average value is divided by the second average value to obtain a medium-term trend deviation rate; The real-time resistive current value is compared with a first current threshold and a second current threshold, and a real-time current basic score is determined according to the real-time comparison result; The short-term fluctuation deviation rate is compared with a first fluctuation rate threshold and a second fluctuation rate threshold, and a short-term fluctuation basic score is determined according to the short-term comparison result; The medium-term trend deviation rate is compared with a first trend rate threshold and a second trend rate threshold, and a medium-term trend basic score is determined according to the medium-term comparison result, wherein the real-time current basic score, the short-term fluctuation basic score and the medium-term trend basic score together constitute the plurality of basic scores.

7. The method of claim 1, wherein, When the longitudinal score value is greater than or equal to a preset score threshold, it is confirmed that the first lightning arrester has an internal fault, and a warning information is generated according to the internal fault, specifically including: When the longitudinal score value is greater than or equal to the preset score threshold, a plurality of body temperatures of the first lightning arrester within a preset second time are called from an infrared thermal image display device; A temperature change rate is calculated according to a least square method based on the plurality of body temperatures; When the temperature change rate is greater than or equal to a preset temperature change rate, it is confirmed that the first lightning arrester has the internal fault, and an emergency warning information is generated according to the internal fault; When the temperature change rate is less than the preset temperature change rate, it is determined that the first lightning arrester is in a suspected abnormal state, and the warning information is changed to attention prompt information according to the suspected abnormal state.

8. A device for evaluating the condition of a surge arrester, characterized in that, The device comprises a calling unit, a first processing unit, a second processing unit and a confirmation unit, The calling unit calls the target belonging station and the target voltage level of the first lightning arrester, filters a plurality of second lightning arresters with the same target belonging station and target voltage level from the lightning arrester cluster, and selects lightning arresters different from the device type of the first lightning arrester from the plurality of second lightning arresters to obtain a third lightning arrester set. The first processing unit adopts a longitudinal diagnosis mode for the first lightning arrester if there is no lightning arrester consistent with the device model of the first lightning arrester in the third lightning arrester set, obtains external environment data of the first lightning arrester within a preset first time based on the longitudinal diagnosis mode, obtains a plurality of humidity and cumulative rainfall from the external environment data, calculates a plurality of humidity to obtain an average relative humidity, and determines a target environment mode currently where the first lightning arrester is located according to the cumulative rainfall and the average relative humidity. The calling unit calls the target environment mode corresponding time correction factor, calculates the initial first time length according to the time correction factor to obtain the target first time length. The second processing unit obtains a real-time resistive current value of the first lightning arrester at the current time and a plurality of first resistive current values of the first lightning arrester within the target first time length, performs average calculation on a plurality of the first resistive current values to obtain a first average value, obtains a plurality of second resistive current values of the first lightning arrester within an initial second time length, performs average calculation on a plurality of the second resistive current values to obtain a second average value, wherein the initial second time length is greater than the initial first time length, determines a plurality of basic scores based on the real-time resistive current value, the first average value and the second average value, calls a weight coefficient corresponding to a plurality of the basic scores in the target environment mode, and performs weighted sum calculation on a plurality of the basic scores and the respective corresponding weight coefficients to obtain a longitudinal score value. The confirmation unit determines that the first lightning arrester has an internal fault when the longitudinal score value is greater than or equal to a preset score threshold, and generates a warning information according to the internal fault.

9. An electronic device, comprising: The electronic device comprises a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to perform the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores instructions, when the instructions are executed, the method of any one of claims 1-7 is executed.

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