Thunderstorm activity observation management system suitable for power transmission channel

Abstract

The present application provides a thunderstorm activity observation management system and method suitable for a power transmission channel. The method comprises: on the basis of multiple analysis periods, counting the number of acquired thunderstorm days in each analysis period to obtain a statistical result; on the basis of the statistical result and a preset dispersion degree threshold, adjusting the number of thunderstorm days in each analysis period to obtain a thunderstorm performance value of each analysis period; for each analysis period, determining a voltage intensity coefficient of the analysis period on the basis of multiple pieces of acquired line characteristic data of a power transmission channel in each thunderstorm activity process; and on the basis of the thunderstorm performance value and the voltage intensity coefficient of each analysis period, determining a thunderstorm activity evaluation value of each analysis period, wherein the thunderstorm activity evaluation value is used for determining a defense level. In this way, defense resources can be scientifically distributed on the basis of the defense level, thereby further improving the overall thunderstorm defense effect.

Description

A thunderstorm activity observation and management system suitable for power transmission channels Technical Field

[0001] The present application relates to the field of thunderstorm observation technology, and in particular to a thunderstorm activity observation and management system applicable to power transmission channels. Background Art

[0002] Thunderstorms are localized severe convective weather phenomena that occur in tropical and temperate regions. Thunderstorms are often accompanied by strong lightning strikes, strong winds, and heavy rainfall, such as rainstorms or hail. Thunderstorms are also accompanied by heavy rainfall, resulting in large amounts of precipitation in a short period of time, potentially causing disasters such as floods. The formation and development of thunderstorms can cause rapid weather changes, potentially bringing dramatic impacts. In some cases, multiple thunderstorms can converge to form mesoscale convective systems, further strengthening and expanding their impact. These large-scale convective systems can trigger severe meteorological disasters such as floods, mudslides, and heavy rain. Therefore, understanding the characteristics and patterns of thunderstorms and taking timely preventive and protective measures are crucial to reducing the impact of thunderstorms.

[0003] Current methods for observing and managing thunderstorm activity have several limitations. One of these is the inability to monitor and analyze thunderstorm prevention intensity based on historical thunderstorm observation data along UHV transmission corridors. This means that past observations cannot provide sufficient information to assess future thunderstorm intensity and trends, making it difficult to implement targeted thunderstorm prevention measures in diverse regions with diverse terrain. Due to the limitations of existing methods, thunderstorm prevention resources cannot be allocated scientifically. Summary of the Invention

[0004] The purpose of this application is to solve at least one of the above-mentioned technical deficiencies, especially the technical defect that thunderstorm defense resources cannot be allocated scientifically in the prior art.

[0005] In a first aspect, the present application provides a method for observing and managing thunderstorm activity applicable to a power transmission channel, the method comprising:

[0006] Based on a plurality of pre-set analysis periods, the number of thunderstorm days in each analysis period is obtained, and the number of thunderstorm days in each analysis period is statistically calculated to obtain a statistical result, wherein the statistical result is used to represent the numerical dispersion degree of the number of thunderstorm days in each analysis period;

[0007] Adjusting the number of thunderstorm days in each analysis period according to the statistical results and a preset discreteness threshold to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period;

[0008] Acquiring multiple line characteristic data of the power transmission channel during each thunderstorm activity in each analysis period;

[0009] For each analysis period, determining a voltage intensity coefficient of the analysis period based on each line characteristic data of the analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity within the analysis period;

[0010] A thunderstorm activity evaluation value of each analysis period is determined based on the thunderstorm performance value and the voltage intensity coefficient of each analysis period, and the thunderstorm activity evaluation value is used to determine the defense level.

[0011] In one embodiment, the step of adjusting the number of thunderstorm days in each analysis period according to the statistical results and a preset discreteness threshold to obtain a thunderstorm performance value for each analysis period includes:

[0012] Comparing the statistical result with the dispersion threshold to determine whether the statistical result exceeds the dispersion threshold;

[0013] If yes, then multiply the preset proportional coefficient by the number of thunderstorm days in each analysis period, and use the obtained product value as the thunderstorm performance value of each analysis period;

[0014] If not, the number of thunderstorm days in each analysis period is used as the thunderstorm performance value of each analysis period.

[0015] In one embodiment, the line characteristic data includes current data, resistance data, inductance data, and steepness data;

[0016] The step of determining the voltage intensity coefficient of each analysis period according to each line characteristic data of the analysis period includes:

[0017] For each analysis period, obtaining the impulse overvoltage of each thunderstorm activity in the analysis period according to the current data, the resistance data, the inductance data, and the steepness data during each thunderstorm activity;

[0018] The impulse overvoltage with the largest value among the impulse overvoltages in each analysis period is taken as the overvoltage performance value of the analysis period;

[0019] Calculating the average value of each impulse overvoltage in each analysis period to obtain an average overvoltage value of the analysis period;

[0020] Calculating the variance of each impulse overvoltage in each analysis period to obtain an overvoltage deviation value of the analysis period;

[0021] The voltage intensity coefficient of each analysis period is obtained according to the overvoltage performance value, the overvoltage average value and the overvoltage deviation value of each analysis period.

[0022] In one embodiment, for each analysis period, the step of obtaining the impulse overvoltage of each thunderstorm activity in the analysis period based on the current data, the resistance data, the inductance data, and the steepness data during each thunderstorm activity includes:

[0023] For each thunderstorm activity, the impulse overvoltage of the thunderstorm activity is calculated according to the following formula: Ud=I×Rie+L×DD

[0024] Wherein, Ud is the impulse overvoltage, I is the current data, Rie is the resistance data, L is the inductance data, and DD is the steepness data.

[0025] In one embodiment, the step of obtaining the voltage intensity coefficient of each analysis period according to the overvoltage performance value, the overvoltage average value, and the overvoltage deviation value of each analysis period includes:

[0026] For each analysis cycle, the intensity coefficient is calculated according to the following expression: QD = α1×YB+α2×YP+α3×YC

[0027] Among them, QD is the intensity coefficient, YB is the overvoltage performance value, YP is the overvoltage average value, YC is the overvoltage deviation value, α1 is the proportional coefficient of the overvoltage performance value, α2 is the proportional coefficient of the overvoltage average value, α3 is the proportional coefficient of the overvoltage deviation value, α1>α2>α3>1.

[0028] In one embodiment, the step of determining the thunderstorm activity assessment value of each analysis period based on the thunderstorm performance value and voltage intensity coefficient of each analysis period includes:

[0029] For each analysis period, the thunderstorm activity evaluation value is calculated according to the following expression: GL = β1 × LB + β2 × QD

[0030] Wherein, GL is the thunderstorm activity assessment value, LB is the thunderstorm performance value, QD is the voltage intensity coefficient, β1 is the proportional coefficient of the thunderstorm performance value, β2 is the proportional coefficient of the voltage intensity coefficient, and β1>β2>1.

[0031] In one embodiment, the method further comprises:

[0032] Comparing the thunderstorm activity assessment value with a first thunderstorm activity assessment threshold and a second thunderstorm activity assessment threshold, wherein the first thunderstorm activity assessment threshold is less than the second thunderstorm activity assessment threshold;

[0033] If the thunderstorm activity assessment value is greater than or equal to the second thunderstorm activity assessment threshold, determining the defense level for the next analysis period as level one;

[0034] If the thunderstorm activity assessment value is greater than the first thunderstorm activity assessment threshold and less than the second thunderstorm activity assessment threshold, the defense level for the next analysis period is determined to be level 2;

[0035] If the thunderstorm activity assessment value is less than or equal to the first thunderstorm activity assessment threshold, the defense level of the next analysis period is determined to be level three.

[0036] In a second aspect, the present application provides a thunderstorm activity observation and management device applicable to a power transmission channel, the device comprising:

[0037] a statistical result acquisition module, configured to obtain the number of thunderstorm days in each of a plurality of pre-set analysis periods based on the number of thunderstorm days in each of the analysis periods, and to perform statistical calculations on the number of thunderstorm days in each of the analysis periods to obtain statistical results, wherein the statistical results are used to indicate the degree of numerical dispersion of the number of thunderstorm days in each of the analysis periods;

[0038] a thunderstorm performance value determination module, configured to adjust the number of thunderstorm days in each analysis period according to the statistical results and a preset discreteness threshold, to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period;

[0039] A line characteristic data acquisition module is used to acquire a plurality of line characteristic data of the power transmission channel during each thunderstorm activity in each analysis period;

[0040] a voltage intensity coefficient determination module, configured to determine, for each analysis period, a voltage intensity coefficient of the analysis period based on the line characteristic data of the analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity within the analysis period;

[0041] The thunderstorm activity assessment module is used to determine the thunderstorm activity assessment value of each analysis period based on the thunderstorm performance value and voltage intensity coefficient of each analysis period, and the thunderstorm activity assessment value is used to determine the defense level.

[0042] In a third aspect, the present application provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the thunderstorm activity observation and management method applicable to the transmission channel as described in any of the above embodiments.

[0043] In a fourth aspect, the present application provides a thunderstorm activity observation and management system applicable to a power transmission channel, the system comprising: a storage module, a frequency analysis module, an intensity monitoring module, an observation management platform, and a cycle management module;

[0044] The observation management platform is respectively connected to the storage module, the frequency analysis module, the intensity monitoring module and the period management module;

[0045] The storage module is used to store preset discreteness thresholds and line characteristic data;

[0046] The frequency analysis module is used to obtain the number of thunderstorm days in each analysis period based on a plurality of pre-set analysis periods, and perform statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to represent the numerical dispersion degree of the number of thunderstorm days in each analysis period; adjust the number of thunderstorm days in each analysis period according to the statistical results and the dispersion threshold value to obtain a thunderstorm performance value for each analysis period, and send each thunderstorm performance value to the period management module, wherein the thunderstorm performance value is the adjusted number of thunderstorm days for each analysis period;

[0047] The intensity monitoring module is used to obtain a plurality of line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; for each analysis period, based on the individual line characteristic data of the analysis period, determine the voltage intensity coefficient of the analysis period, and send each voltage intensity coefficient to the observation management platform, wherein the voltage intensity coefficient is used to represent the lightning intensity in the analysis period;

[0048] The observation management platform is used to send each of the thunderstorm performance values ​​and each of the voltage intensity coefficients to the cycle management module;

[0049] The cycle management module is used to determine a thunderstorm activity evaluation value of each analysis period based on the thunderstorm performance value and voltage intensity coefficient of each analysis period, and the thunderstorm activity evaluation value is used to determine a defense level.

[0050] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0051] The present application provides a thunderstorm activity observation and management system and method applicable to a transmission channel. The method includes: based on multiple preset analysis periods, obtaining the number of thunderstorm days in each analysis period, and performing statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to represent the numerical dispersion of the number of thunderstorm days in each analysis period; adjusting the number of thunderstorm days in each analysis period based on the statistical results and a preset dispersion threshold to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days for each analysis period; obtaining multiple line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; for each analysis period, determining a voltage intensity coefficient for the analysis period based on the line characteristic data of each analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity in the analysis period; and determining a thunderstorm activity assessment value for each analysis period based on the thunderstorm performance value and the voltage intensity coefficient for each analysis period, wherein the thunderstorm activity assessment value is used to determine a defense level. Determining the thunderstorm performance value based on the thunderstorm value of each analysis period can improve the accuracy of the thunderstorm frequency analysis results; feedback on the lightning intensity within the analysis period is provided through the numerical value of the voltage intensity coefficient, providing data support for the defense level marking of the next analysis period; a comprehensive analysis is performed based on the thunderstorm performance value and the intensity coefficient to obtain the thunderstorm activity assessment value, and then the defense level is determined based on the thunderstorm activity assessment value. Defense resources can be scientifically allocated according to the defense level, further improving the overall thunderstorm defense effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0053] FIG1 is a flow chart of a method for observing and managing thunderstorm activities in a power transmission channel according to an embodiment of the present application;

[0054] FIG2 is a schematic diagram of a process for determining a thunderstorm performance value according to an embodiment of the present application;

[0055] FIG3 is a schematic diagram of a flow chart of determining a voltage intensity coefficient according to an embodiment of the present application;

[0056] FIG4 is a second flow chart of a method for observing and managing thunderstorm activities in a power transmission channel according to an embodiment of the present application;

[0057] FIG5 is a schematic structural diagram of a thunderstorm activity observation and management device applicable to a power transmission channel provided in an embodiment of the present application;

[0058] FIG6 is a schematic structural diagram of a thunderstorm activity observation and management system applicable to a power transmission channel provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0060] This application provides a method for observing and managing thunderstorm activity in power transmission channels. The following embodiments illustrate this method using a computer device as an example. It is understood that the computer device can be any device with data processing capabilities, including, but not limited to, a single server, a server cluster, a personal laptop computer, a desktop computer, and the like. As shown in Figure 1, the present application's method for observing and managing thunderstorm activity in power transmission channels may include the following steps:

[0061] S101: Based on a plurality of pre-set analysis periods, the number of thunderstorm days in each analysis period is obtained, and the number of thunderstorm days in each analysis period is statistically calculated to obtain a statistical result, wherein the statistical result is used to represent the numerical discreteness of the number of thunderstorm days in each analysis period.

[0062] In this step, in response to the transmission channel thunderstorm activity risk prediction signal, according to the pre-set analysis period, the number of thunderstorm days in multiple analysis periods is obtained, so that the individual thunderstorm days can be combined into a thunderstorm value set, and the thunderstorm value set is statistically calculated to obtain a statistical result for representing the degree of numerical discreteness of the number of thunderstorm days in each analysis period. It can be understood that if the numerical value of the statistical result is high, it means that the difference in the number of thunderstorm days in different analysis periods is large, and if the numerical value of the statistical result is low, it means that the difference in the number of thunderstorm days in different analysis periods is small. Among them, the selection of the number of analysis periods can be determined according to actual conditions, and this application does not impose specific restrictions on this.

[0063] Furthermore, the analysis period refers to the time range for counting the number of thunderstorm days. The setting of the analysis period can be determined according to the actual situation, and the present application does not impose any specific restrictions on this. For example, it can be one month, one quarter, or one year. A thunderstorm day refers to a natural day on which thunderstorm activity occurs. The method for obtaining the number of thunderstorm days in each analysis period can be selected according to the actual situation, and the present application does not impose any specific restrictions on this. For example, in each analysis period, the days on which thunderstorm activity occurs can be marked as 1, and the days on which thunderstorm activity does not occur can be marked as 0. The thunderstorm days marked as 1 in the analysis period can be counted to obtain the number of thunderstorm days in the analysis period. Performing statistical calculation on the number of thunderstorm days in each analysis period refers to counting the magnitude of the change in the numerical value of the number of thunderstorm days in each analysis period. The statistical calculation method can be selected according to the actual situation, and the present application does not impose any specific restrictions on this. For example, variance, standard deviation, or mean absolute deviation can be used.

[0064] S102: According to the statistical result and a preset discreteness threshold, the number of thunderstorm days in each analysis period is adjusted to obtain a thunderstorm performance value for each analysis period, where the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period.

[0065] In this step, the number of thunderstorm days in each analysis period is adjusted by comparing the statistical results with the numerical value of the discreteness threshold. Through the adjustment, the number of thunderstorm days in each analysis period can be made more in line with expectations. The adjustment method can be based on actual conditions, and this application does not impose specific restrictions on this. For example, if the number of thunderstorm days in the analysis period is low, some days can be added for adjustment based on historical data or relevant indicators; if the number of thunderstorm days in the analysis period is high, some days can be reduced for adjustment based on historical data or relevant indicators; if the thunderstorm performance value of the analysis period is within the range of the discreteness threshold, an interpolation method can be used to adjust it to make it smoother or more balanced. The adjusted number of thunderstorm days is used as the thunderstorm performance value of each analysis period, and the thunderstorm performance value can be used to reflect the performance of thunderstorm activities in each analysis period.

[0066] S103: Acquire multiple line characteristic data of the power transmission channel during each thunderstorm activity in each analysis period.

[0067] In this step, each thunderstorm activity event within each analysis period is first marked as a monitoring event. Then, multiple line characteristic data for the transmission channel during the monitoring event are obtained. Line characteristic data refers to line characteristic parameters that reflect lightning activity. For example, line characteristics can include current, voltage, frequency, or power in the transmission channel. Line characteristic parameters can include maximum current, minimum voltage, or power changes.

[0068] Furthermore, line characteristic data can be directly obtained from a corresponding line database or line data file. Line data collection from the line database or line data file can be performed during each analysis period, when thunderstorm activity occurs, by using installed equipment or sensors to collect line characteristic data in real time. This ensures accuracy and stability during the data collection process, thereby ensuring that the resulting line characteristic data is reliable. For data collection, appropriate equipment, such as sensors, instruments, or monitoring equipment, can be selected based on the required line characteristic data.

[0069] S104: For each analysis period, determine a voltage intensity coefficient of the analysis period according to each line characteristic data of the analysis period, where the voltage intensity coefficient is used to represent the lightning intensity within the analysis period.

[0070] In this step, in each analysis cycle, by calculating the characteristic data of each line in the analysis cycle, the voltage intensity coefficient of the analysis cycle, which is used to represent the lightning intensity in the analysis cycle, can be obtained. It can be understood that if the voltage intensity value is high, it means that the lightning intensity in the analysis cycle is large, and if the voltage intensity value is low, it means that the lightning intensity in the analysis cycle is small.

[0071] Furthermore, before calculating the line characteristic data, the line characteristic data may be cleaned and converted to ensure its accuracy. The method for calculating the line characteristic data can be selected based on actual circumstances, and this application does not impose specific limitations on this. The preliminary results obtained from calculating the line characteristic data can be corrected, and the corrected results can be used as the voltage intensity coefficient. The correction method can be selected based on actual circumstances, and this application does not impose specific limitations on this. For example, correction can be performed using a deep learning model or based on historical data comparison.

[0072] S105: Determine a thunderstorm activity evaluation value for each analysis period according to the thunderstorm performance value and the voltage intensity coefficient for each analysis period, wherein the thunderstorm activity evaluation value is used to determine a defense level.

[0073] In this step, within each analysis period, the thunderstorm performance value and voltage intensity coefficient for that analysis period are calculated to obtain a thunderstorm activity assessment value for that analysis period. The calculation method can be determined based on actual conditions. Based on the thunderstorm activity assessment values ​​for each analysis period, the thunderstorm activity risk probability for the next analysis period can be inferred through historical data comparison, deep learning model prediction, or statistical methods. A higher thunderstorm activity risk probability indicates that more defense resources are needed, while a lower thunderstorm activity risk probability indicates that fewer defense resources are needed.

[0074] Furthermore, the defense level can be formulated according to actual conditions, and this application does not impose specific restrictions on this. For example, it can be level one, level two, and level three, or it can be high risk, medium risk, and low risk. It is understandable that each defense level represents different defense resources, and the defense resources corresponding to each defense level and the required defense resources corresponding to the thunderstorm activity risk probability can be matched. For example, a high-risk defense level corresponds to the most defense resources, and the next analysis period is a high thunderstorm activity risk probability, and the high thunderstorm activity risk probability corresponds to the most defense resources required. In this case, the high thunderstorm activity risk probability is matched with the high-risk defense level to obtain the defense level for the next analysis period.

[0075] The present application provides a thunderstorm activity observation and management system and method applicable to a transmission channel. The method includes: based on multiple preset analysis periods, obtaining the number of thunderstorm days in each analysis period, and performing statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to represent the numerical dispersion of the number of thunderstorm days in each analysis period; adjusting the number of thunderstorm days in each analysis period based on the statistical results and a preset dispersion threshold to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days for each analysis period; obtaining multiple line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; for each analysis period, determining a voltage intensity coefficient for the analysis period based on the line characteristic data of each analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity in the analysis period; and determining a thunderstorm activity assessment value for each analysis period based on the thunderstorm performance value and the voltage intensity coefficient for each analysis period, wherein the thunderstorm activity assessment value is used to determine a defense level. Determining the thunderstorm performance value based on the thunderstorm value of each analysis period can improve the accuracy of the thunderstorm frequency analysis results; feedback on the lightning intensity within the analysis period is provided through the numerical value of the voltage intensity coefficient, providing data support for the defense level marking of the next analysis period; a comprehensive analysis is performed based on the thunderstorm performance value and the intensity coefficient to obtain the thunderstorm activity assessment value, and then the defense level is determined based on the thunderstorm activity assessment value. Defense resources can be scientifically allocated according to the defense level, further improving the overall thunderstorm defense effect.

[0076] As shown in FIG2 , in one embodiment, the step of adjusting the number of thunderstorm days in each analysis period based on the statistical results and a preset discreteness threshold to obtain a thunderstorm performance value for each analysis period includes:

[0077] S201: Compare the statistical result with the dispersion threshold to determine whether the statistical result exceeds the dispersion threshold;

[0078] S202: If yes, multiplying the preset proportional coefficient by the number of thunderstorm days in each analysis period, and using the obtained product value as the thunderstorm performance value of each analysis period;

[0079] S203: If not, the number of thunderstorm days in each analysis period is used as the thunderstorm performance value of each analysis period.

[0080] Specifically, the statistical results are compared with the discreteness threshold to determine whether the statistical results exceed the discreteness threshold. If so, it indicates that the numerical differences in the number of thunderstorm days in each analysis period are too large. A preset proportional coefficient is multiplied by the number of thunderstorm days in each analysis period, and the product result is used as the thunderstorm performance value of each analysis period. The value range of the proportional coefficient can be selected according to actual conditions, and this application does not impose specific restrictions on this. For example, the value range can be greater than or equal to 1.25 and less than or equal to 1.35; if it does not exceed, it indicates that the numerical differences in the number of thunderstorm days in each analysis period are small. The number of thunderstorm days in each analysis period is directly used as the thunderstorm performance value of each analysis period, which simplifies the thunderstorm value determination process and improves the efficiency of thunderstorm value calculation.

[0081] It can be understood that the accuracy of the thunderstorm frequency analysis results can be improved by performing numerical statistics on the thunderstorm days within the analysis period to obtain the thunderstorm value of the analysis period, and then adjusting the thunderstorm value of the analysis period according to the degree of numerical fluctuation of the thunderstorm values ​​of multiple recent analysis periods to obtain the thunderstorm performance value.

[0082] As shown in FIG3 , in one embodiment, the line characteristic data includes current data, resistance data, inductance data, and steepness data;

[0083] The step of determining the voltage intensity coefficient of each analysis period according to each line characteristic data of the analysis period includes:

[0084] S301: For each analysis period, obtaining an impulse overvoltage of each thunderstorm activity in the analysis period based on the current data, the resistance data, the inductance data, and the steepness data during each thunderstorm activity;

[0085] S302: taking the impulse overvoltage with the largest value among the impulse overvoltages in each analysis period as the overvoltage performance value of the analysis period;

[0086] S303: Calculating the average value of each impulse overvoltage in each analysis period to obtain an average overvoltage value of the analysis period;

[0087] S304: Calculating the variance of each impulse overvoltage in each analysis period to obtain an overvoltage deviation value of the analysis period;

[0088] S305: Obtain the voltage intensity coefficient of each analysis period according to the overvoltage performance value, the overvoltage average value, and the overvoltage deviation value of each analysis period.

[0089] Specifically, the line characteristic data includes current data, resistance data, inductance data and steepness data, wherein the current data is the lightning current value, the resistance data is the impulse grounding resistance value of the lightning protection grounding device, the inductance data is the inductance value of the lightning current path, and the steepness data is the lightning current steepness value. For each analysis period, based on the current data, resistance data, inductance data and steepness data during each thunderstorm activity process, the impulse overvoltage of each thunderstorm activity during the analysis period can be obtained by calculation. The maximum value of the impulse overvoltage of all thunderstorm activity processes during the analysis period is marked as the overvoltage performance value, the impulse overvoltage of all thunderstorm activity processes during the analysis period is summed and averaged to obtain the overvoltage average value, and the variance of the impulse overvoltage of the thunderstorm activity process during the analysis period is calculated to obtain the overvoltage deviation value. Based on the overvoltage performance value, overvoltage average value and overvoltage deviation value of each analysis period, the voltage intensity coefficient of the analysis period can be obtained by calculation. Among them, the calculation method of the impulse overvoltage and the voltage intensity coefficient can be selected according to actual conditions, and this application does not impose specific restrictions on this.

[0090] It can be understood that the impulse overvoltage is obtained by analyzing and calculating the characteristic parameters of various lines in thunderstorm activities, and the voltage intensity coefficient is obtained by statistically analyzing and calculating the impulse overvoltage of all thunderstorm activities in the analysis period. The lightning intensity in the analysis period is fed back through the value of the voltage intensity coefficient, providing data support for the defense level mark of the next analysis period.

[0091] In one embodiment, for each analysis period, the step of obtaining the impulse overvoltage of each thunderstorm activity in the analysis period based on the current data, the resistance data, the inductance data, and the steepness data during each thunderstorm activity includes:

[0092] For each thunderstorm activity, the impulse overvoltage of the thunderstorm activity is calculated according to the following formula: Ud=I×Rie+L×DD

[0093] Wherein, Ud is the impulse overvoltage, I is the current data, Rie is the resistance data, L is the inductance data, and DD is the steepness data.

[0094] In one embodiment, the step of obtaining the voltage intensity coefficient of each analysis period based on the overvoltage performance value, the overvoltage average value, and the overvoltage deviation value of each analysis period includes:

[0095] For each analysis cycle, the intensity coefficient is calculated according to the following expression: QD = α1×YB+α2×YP+α3×YC

[0096] Among them, QD is the intensity coefficient, YB is the overvoltage performance value, YP is the overvoltage average value, YC is the overvoltage deviation value, α1 is the proportional coefficient of the overvoltage performance value, α2 is the proportional coefficient of the overvoltage average value, α3 is the proportional coefficient of the overvoltage deviation value, α1>α2>α3>1.

[0097] In one embodiment, the step of determining the thunderstorm activity assessment value of each analysis period based on the thunderstorm performance value and the voltage intensity coefficient of each analysis period includes:

[0098] For each analysis period, the thunderstorm activity evaluation value is calculated according to the following expression: GL = β1 × LB + β2 × QD

[0099] Wherein, GL is the thunderstorm activity assessment value, LB is the thunderstorm performance value, QD is the voltage intensity coefficient, β1 is the proportional coefficient of the thunderstorm performance value, β2 is the proportional coefficient of the voltage intensity coefficient, and β1>β2>1.

[0100] Specifically, the specific values ​​of the proportional coefficients in the above formula can be determined according to actual conditions. For example, multiple groups of sample data can be collected and corresponding initial coefficients can be set for each group of sample data. The set initial coefficients and the collected sample data are substituted into the formula. Any three formulas constitute a set of three linear equations. The calculated coefficients are screened and the average is taken to obtain the values ​​of α1, α2 and α3, which are 3.45, 2.68 and 2.17 respectively.

[0101] It can be understood that the size of the proportional coefficient is to quantify each parameter to obtain a specific numerical value for the convenience of subsequent comparison. The size of the proportional coefficient depends on the amount of sample data and the initial coefficient initially set by technical personnel in this field for each set of sample data. As long as it does not affect the proportional relationship between the parameter and the quantized value, such as the initial coefficient is proportional to the value of the overvoltage performance value.

[0102] As shown in FIG4 , in one embodiment, the method further includes:

[0103] S401: Comparing the thunderstorm activity assessment value with a first thunderstorm activity assessment threshold and a second thunderstorm activity assessment threshold, wherein the first thunderstorm activity assessment threshold is less than the second thunderstorm activity assessment threshold;

[0104] S402: If the thunderstorm activity assessment value is greater than or equal to the second thunderstorm activity assessment threshold, determining the defense level for the next analysis period as level 1;

[0105] S403: If the thunderstorm activity assessment value is greater than the first thunderstorm activity assessment threshold and less than the second thunderstorm activity assessment threshold, determining the defense level for the next analysis period as level 2;

[0106] S404: If the thunderstorm activity assessment value is less than or equal to the first thunderstorm activity assessment threshold, the defense level of the next analysis period is determined to be level three.

[0107] It can be understood that by comparing the thunderstorm activity assessment value with the preset threshold and determining the defense level of the next analysis cycle according to different conditions, the risk level of thunderstorm activity can be assessed, and corresponding defense measures can be taken as needed, and defense resources can be scientifically allocated to improve the overall thunderstorm defense effect.

[0108] The following describes a thunderstorm activity observation and management device for a power transmission channel provided by an embodiment of the present application. The thunderstorm activity observation and management device for a power transmission channel described below and the thunderstorm activity observation and management method for a power transmission channel described above can be referenced to each other. As shown in Figure 5, a thunderstorm activity observation and management device for a power transmission channel provided by the present application can include the following structure:

[0109] The statistical result acquisition module 501 is used to obtain the number of thunderstorm days in each of the pre-set analysis periods based on a plurality of analysis periods, and perform statistical calculations on the number of thunderstorm days in each of the analysis periods to obtain statistical results, wherein the statistical results are used to indicate the numerical dispersion of the number of thunderstorm days in each of the analysis periods;

[0110] A thunderstorm performance value determination module 502 is configured to adjust the number of thunderstorm days in each analysis period based on the statistical results and a preset discreteness threshold to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period;

[0111] The line characteristic data acquisition module 503 is used to acquire a plurality of line characteristic data of the power transmission channel during each thunderstorm activity in each analysis period;

[0112] A voltage intensity coefficient determination module 504 is configured to determine, for each analysis period, a voltage intensity coefficient of the analysis period based on the line characteristic data of the analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity within the analysis period;

[0113] The thunderstorm activity evaluation module 505 is configured to determine a thunderstorm activity evaluation value for each analysis period based on the thunderstorm performance value and the voltage intensity coefficient for each analysis period, wherein the thunderstorm activity evaluation value is used to determine a defense level.

[0114] In one embodiment, the thunderstorm performance value determination module 502 includes:

[0115] a numerical comparison unit, configured to compare the statistical result with the discreteness threshold to determine whether the statistical result exceeds the discreteness threshold;

[0116] a first thunderstorm performance value determination unit, configured to calculate the product of a preset proportional coefficient and the value of thunderstorm days in each analysis period, and use the obtained product value as the thunderstorm performance value of each analysis period;

[0117] The second thunderstorm performance value determining unit is configured to, if not, use the number of thunderstorm days in each analysis period as the thunderstorm performance value of each analysis period.

[0118] In one embodiment, the line characteristic data includes current data, resistance data, inductance data, and steepness data;

[0119] The voltage intensity coefficient determination module 504 includes:

[0120] an impulse overvoltage determination unit, configured to obtain, for each analysis period, an impulse overvoltage of each thunderstorm activity in the analysis period based on the current data, the resistance data, the inductance data, and the steepness data during each thunderstorm activity;

[0121] an overvoltage performance value determining unit, configured to take the impulse overvoltage with the largest value among the impulse overvoltages in each analysis period as the overvoltage performance value of the analysis period;

[0122] an overvoltage average value determining unit, configured to calculate an average value of each of the impulse overvoltages in each of the analysis cycles to obtain an overvoltage average value for the analysis cycle;

[0123] an overvoltage deviation value determining unit, configured to calculate the variance of each impulse overvoltage in each analysis period to obtain the overvoltage deviation value of the analysis period;

[0124] The voltage intensity coefficient determining unit is used to obtain the voltage intensity coefficient of each analysis period according to the overvoltage performance value, the overvoltage average value and the overvoltage deviation value of the analysis period.

[0125] In one embodiment, the impulse overvoltage determination unit includes:

[0126] The impulse overvoltage calculation subunit is used to calculate the impulse overvoltage of each thunderstorm activity according to the following formula: Ud = I × Rie + L × DD

[0127] Wherein, Ud is the impulse overvoltage, I is the current data, Rie is the resistance data, L is the inductance data, and DD is the steepness data.

[0128] In one embodiment, the voltage intensity coefficient determination unit includes:

[0129] The voltage intensity coefficient calculation subunit is used to calculate the intensity coefficient according to the following expression for each analysis cycle: QD = α1×YB+α2×YP+α3×YC

[0130] Among them, QD is the intensity coefficient, YB is the overvoltage performance value, YP is the overvoltage average value, YC is the overvoltage deviation value, α1 is the proportional coefficient of the overvoltage performance value, α2 is the proportional coefficient of the overvoltage average value, α3 is the proportional coefficient of the overvoltage deviation value, α1>α2>α3>1.

[0131] In one embodiment, the thunderstorm activity assessment module 505 includes:

[0132] The thunderstorm activity evaluation value calculation unit is used to calculate the thunderstorm activity evaluation value according to the following expression for each analysis period: GL = β1 × LB + β2 × QD

[0133] Wherein, GL is the thunderstorm activity assessment value, LB is the thunderstorm performance value, QD is the voltage intensity coefficient, β1 is the proportional coefficient of the thunderstorm performance value, β2 is the proportional coefficient of the voltage intensity coefficient, and β1>β2>1.

[0134] In one embodiment, the apparatus further comprises:

[0135] a numerical comparison module, configured to compare the thunderstorm activity assessment value with a first thunderstorm activity assessment threshold and a second thunderstorm activity assessment threshold, wherein the first thunderstorm activity assessment threshold is less than the second thunderstorm activity assessment threshold;

[0136] a first defense level determination module, configured to determine the defense level of the next analysis period as level 1 if the thunderstorm activity assessment value is greater than or equal to the second thunderstorm activity assessment threshold;

[0137] a second defense level determination module, configured to determine the defense level of the next analysis period as level two if the thunderstorm activity assessment value is greater than the first thunderstorm activity assessment threshold and less than the second thunderstorm activity assessment threshold;

[0138] The third defense level determination module is configured to determine the defense level of the next analysis period as level three if the thunderstorm activity assessment value is less than or equal to the first thunderstorm activity assessment threshold.

[0139] In one embodiment, the present application also provides a storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the thunderstorm activity observation and management method applicable to the transmission channel as described in any of the above embodiments.

[0140] As shown in FIG6 , in one embodiment, the present application provides a thunderstorm activity observation and management system applicable to a power transmission channel, the system comprising: a storage module 601 , a frequency analysis module 602 , an intensity monitoring module 603 , an observation management platform 604 , and a cycle management module 605 ;

[0141] The observation management platform 604 is respectively connected to the storage module 601, the frequency analysis module 602, the intensity monitoring module 603 and the cycle management module 605;

[0142] The storage module 601 is used to store preset discreteness thresholds and line characteristic data;

[0143] The frequency analysis module 602 is configured to obtain the number of thunderstorm days in each analysis period based on a plurality of pre-set analysis periods, and perform statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to represent the numerical dispersion of the number of thunderstorm days in each analysis period; adjust the number of thunderstorm days in each analysis period according to the statistical results and the dispersion threshold to obtain a thunderstorm performance value for each analysis period, and send each thunderstorm performance value to the period management module 604, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period;

[0144] The intensity monitoring module 603 is configured to obtain a plurality of line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; for each analysis period, based on the line characteristic data of each analysis period, determine a voltage intensity coefficient for that analysis period, and send each voltage intensity coefficient to the observation management platform 604. The voltage intensity coefficient is used to represent the lightning intensity in that analysis period;

[0145] The observation management platform 604 is used to send each of the thunderstorm performance values ​​and each of the voltage intensity coefficients to the cycle management module 605;

[0146] The cycle management module 605 is used to determine a thunderstorm activity evaluation value of each analysis period according to the thunderstorm performance value and the voltage intensity coefficient of each analysis period, and the thunderstorm activity evaluation value is used to determine the defense level.

[0147] Specifically, the observation management platform can be in communication connection with the storage module, the frequency analysis module, the intensity monitoring module, and the cycle management module, wherein the observation management platform can be bidirectionally connected to the storage module and the cycle management module respectively. The frequency analysis module can obtain the discreteness threshold from the storage module through the observation management platform, and the intensity monitoring module can obtain the line characteristic data from the storage module through the observation management platform. After receiving the thunderstorm performance value sent by the frequency analysis module and the voltage intensity coefficient sent by the intensity monitoring module, the observation management platform sends each thunderstorm performance value and each voltage intensity coefficient to the cycle management module. The cycle management module determines the thunderstorm activity assessment value for each analysis cycle based on the received thunderstorm performance value and voltage intensity coefficient, and determines the defense level based on the thunderstorm activity assessment value.

[0148] Furthermore, the frequency analysis module obtains the number of thunderstorm days in each analysis period based on multiple pre-set analysis periods, and performs statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, which are used to represent the numerical discreteness of the number of thunderstorm days in each analysis period; according to the statistical results and the discreteness threshold, the number of thunderstorm days in each analysis period is adjusted to obtain the thunderstorm performance value of each analysis period, which is the adjusted number of thunderstorm days for each analysis period; the intensity monitoring module obtains multiple line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; for each analysis period, the voltage intensity coefficient of the analysis period is determined based on the characteristic data of each line in the analysis period, and the voltage intensity coefficient is used to represent the lightning intensity in the analysis period; the period management module determines the thunderstorm activity evaluation value of each analysis period based on the thunderstorm performance value and the voltage intensity coefficient of each analysis period, and the thunderstorm activity evaluation value is used to determine the defense level.

[0149] It can be understood that determining the thunderstorm performance value based on the thunderstorm value of each analysis period can improve the accuracy of the thunderstorm frequency analysis results; the lightning intensity within the analysis period is fed back through the numerical value of the voltage intensity coefficient, providing data support for the defense level mark of the next analysis period; a comprehensive analysis is performed on the thunderstorm performance value and the intensity coefficient to obtain the thunderstorm activity assessment value, and then the defense level is determined based on the thunderstorm activity assessment value. Defense resources can be scientifically allocated according to the defense level, further improving the overall thunderstorm defense effect.

[0150] Finally, it should be noted that, in this article, relational terms such as first and second are merely used to distinguish one entity or operation from another, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprise," "include," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. Without further restriction, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element. Herein, "one," "said," "the," and "its" may also include plural forms unless the context clearly indicates otherwise. A plurality refers to at least two, such as 2, 3, 5, or 8. "And / or" includes any and all combinations of the relevant listed items.

[0151] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referenced to each other.

[0152] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A thunderstorm activity observation and management method applicable to a power transmission channel, characterized in that: The method comprises: Based on a plurality of analysis periods that are preset, the number of thunderstorm days in each of the analysis periods is obtained, and the number of thunderstorm days in each of the analysis periods is statistically calculated to obtain a statistical result, wherein the statistical result is used to indicate the numerical discreteness of the number of thunderstorm days in each of the analysis periods; According to the statistical results and a preset discreteness threshold, the number of thunderstorm days in each analysis period is adjusted to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period; Acquire multiple line characteristic data of the transmission channel during each thunderstorm activity in each analysis period; For each of the analysis periods, a voltage intensity coefficient of the analysis period is determined according to each of the line characteristic data of the analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity within the analysis period; According to the thunderstorm performance value and the voltage intensity coefficient of each analysis period, the thunderstorm activity evaluation value of each analysis period is determined, and the thunderstorm activity evaluation value is used to determine the defense level.

2. The thunderstorm activity observation and management method applicable to power transmission channels according to claim 1 is characterized in that: The step of adjusting the number of thunderstorm days in each analysis period according to the statistical results and a preset discreteness threshold to obtain a thunderstorm performance value in each analysis period includes: Compare the statistical result with the discreteness threshold to determine whether the statistical result exceeds the discreteness threshold; If yes, then the preset proportionality coefficient is multiplied by the thunderstorm day value of each analysis period, and the obtained product value is used as the thunderstorm performance value of each analysis period; If not, the number of thunderstorm days in each analysis period is used as the thunderstorm performance value of each analysis period.

3. The thunderstorm activity observation and management method applicable to power transmission channels according to claim 1 is characterized in that: The line characteristic data includes current data, resistance data, inductance data and steepness data; The step of determining the voltage intensity coefficient of each analysis period according to each line characteristic data of the analysis period comprises: For each of the analysis periods, according to the current data, the resistance data, the inductance data and the steepness data during each of the thunderstorm activities, the impulse overvoltage of each of the thunderstorm activities in the analysis period is obtained; The impulse overvoltage with the largest value among the impulse overvoltages in each analysis period is taken as the overvoltage performance value of the analysis period; Calculating the average value of each impulse overvoltage in each analysis period to obtain the overvoltage average value of the analysis period; Calculating the variance of each impulse overvoltage in each analysis period to obtain an overvoltage deviation value of the analysis period; The voltage intensity coefficient of each analysis period is obtained according to the overvoltage performance value, the overvoltage average value and the overvoltage deviation value of the analysis period.

4. The thunderstorm activity observation and management method applicable to power transmission channels according to claim 3 is characterized in that: The step of obtaining the impulse overvoltage of each thunderstorm activity in the analysis period according to the current data, the resistance data, the inductance data and the steepness data in each thunderstorm activity process for each analysis period comprises: For each thunderstorm activity, the impulse overvoltage of the thunderstorm activity is calculated according to the following formula: Ud=I×Rie+L×DD Wherein, Ud is the impulse overvoltage, I is the current data, Rie is the resistance data, L is the inductance data, and DD is the steepness data.

5. The thunderstorm activity observation and management method applicable to power transmission channels according to claim 3 is characterized in that: The step of obtaining the voltage intensity coefficient of each analysis period according to the overvoltage performance value, the overvoltage average value and the overvoltage deviation value of the analysis period comprises: For each analysis period, the intensity coefficient is calculated according to the following expression: QD=α1×YB+α2×YP+α3×YC Among them, QD is the intensity coefficient, YB is the overvoltage performance value, YP is the overvoltage average value, YC is the overvoltage deviation value, α1 is the proportional coefficient of the overvoltage performance value, α2 is the proportional coefficient of the overvoltage average value, α3 is the proportional coefficient of the overvoltage deviation value, α1>α2>α3>1.

6. The thunderstorm activity observation and management method applicable to power transmission channels according to claim 1, characterized in that: The step of determining the thunderstorm activity assessment value of each analysis period according to the thunderstorm performance value and the voltage intensity coefficient of each analysis period comprises: For each analysis period, the thunderstorm activity assessment value is calculated according to the following expression: GL=β1×LB+β2×QD Among them, GL is the thunderstorm activity assessment value, LB is the thunderstorm performance value, QD is the voltage intensity coefficient, β1 is the proportional coefficient of the thunderstorm performance value, β2 is the proportional coefficient of the voltage intensity coefficient, β1>β2>1.

7. The thunderstorm activity observation and management method applicable to power transmission channels according to any one of claims 1 to 6, characterized in that: The method further comprises: Comparing the thunderstorm activity assessment value with a preset first thunderstorm activity assessment threshold and a second thunderstorm activity assessment threshold, wherein the first thunderstorm activity assessment threshold is less than the second thunderstorm activity assessment threshold; If the thunderstorm activity assessment value is greater than or equal to the second thunderstorm activity assessment threshold, determining the defense level of the next analysis period as level one; If the thunderstorm activity assessment value is greater than the first thunderstorm activity assessment threshold and less than the second thunderstorm activity assessment threshold, the defense level of the next analysis period is determined as level 2; If the thunderstorm activity assessment value is less than or equal to the first thunderstorm activity assessment threshold, the defense level of the next analysis period is determined to be level three.

8. A thunderstorm activity observation and management device suitable for power transmission channels, characterized in that: The device comprises: A statistical result acquisition module, used to obtain the number of thunderstorm days in each analysis period based on a plurality of pre-set analysis periods, and to perform statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to indicate the numerical discreteness of the number of thunderstorm days in each analysis period; A thunderstorm performance value determination module, used to adjust the number of thunderstorm days in each analysis period according to the statistical results and a preset discreteness threshold value to obtain a thunderstorm performance value for each analysis period, wherein the thunderstorm performance value is the adjusted number of thunderstorm days in each analysis period; A line characteristic data acquisition module, used to acquire a plurality of line characteristic data of a power transmission channel during each thunderstorm activity in each analysis period; A voltage intensity coefficient determination module, used for determining, for each analysis period, a voltage intensity coefficient of the analysis period according to each of the line characteristic data of the analysis period, wherein the voltage intensity coefficient is used to represent the lightning intensity within the analysis period; The thunderstorm activity assessment module is used to determine the thunderstorm activity assessment value of each analysis period according to the thunderstorm performance value and the voltage intensity coefficient of each analysis period, and the thunderstorm activity assessment value is used to determine the defense level.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the thunderstorm activity observation and management method applicable to the transmission channel as described in any one of claims 1 to 7.

10. A thunderstorm activity observation and management system suitable for power transmission channels, characterized in that: The system includes: a storage module, a frequency analysis module, an intensity monitoring module, an observation management platform and a cycle management module; The observation management platform is respectively connected to the storage module, the frequency analysis module, the intensity monitoring module and the period management module; The storage module is used to store preset discreteness threshold and line characteristic data; The frequency analysis module is used to obtain the number of thunderstorm days in each analysis period based on a plurality of pre-set analysis periods, and perform statistical calculations on the number of thunderstorm days in each analysis period to obtain statistical results, wherein the statistical results are used to represent the numerical discreteness of the number of thunderstorm days in each analysis period; according to the statistical results and the discreteness threshold, the number of thunderstorm days in each analysis period is adjusted to obtain a thunderstorm performance value for each analysis period, and each thunderstorm performance value is sent to the period management module, wherein the thunderstorm performance value is the adjusted number of thunderstorm days for each analysis period; The intensity monitoring module is used to obtain a plurality of line characteristic data of the power transmission channel during each thunderstorm activity in each analysis period; for each analysis period, according to each line characteristic data of the analysis period, determine the voltage intensity coefficient of the analysis period, and send each voltage intensity coefficient to the observation management platform, wherein the voltage intensity coefficient is used to represent the lightning intensity in the analysis period; The observation management platform is used to send each of the thunderstorm performance values ​​and each of the voltage intensity coefficients to the periodic management module; The cycle management module is used to determine the thunderstorm activity evaluation value of each analysis period according to the thunderstorm performance value and the voltage intensity coefficient of each analysis period, and the thunderstorm activity evaluation value is used to determine the defense level.

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