Method and system for monitoring and analyzing operation state of synchronous lightning arrester

Abstract

The invention discloses a synchronous lightning arrester operation state monitoring analysis method and system, and relates to the technical field of lightning arrester monitoring and lightning protection, and the method comprises the steps: locking a target synchronous lightning arrester, and extracting hysteresis window width parameters of a current monitoring period and a historical monitoring period; whether the current window width parameter and the historical window width parameter are located in a configuration width interval or not is judged, if the current window width parameter and the historical window width parameter are both located in the configuration width interval, the variable quantity between the current window width parameter and the historical window width parameter is calculated, and whether the variable quantity drifts or not is judged; if the target synchronous lightning arrester drifts, collecting phase difference data of the target synchronous lightning arrester in the current monitoring period, and judging whether the phase difference data is within a preset phase difference interval or not; whether a normal drift phenomenon occurs or not is judged by analyzing and comparing hysteresis window width parameters of different monitoring periods, and then the synchronization performance of the lightning arrester is comprehensively monitored in real time by judging whether the phase difference parameter of the lightning arrester is influenced or not when normal drift occurs, so that the monitoring and analysis accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of arrester monitoring and lightning protection, and in particular, to a method and system for synchronously monitoring and analyzing the operating state of an arrester. Background Art

[0002] Traditional synchronous arresters use a single-limit comparator to detect the zero crossing (phase difference), and then judge the synchronization state between the arrester and the power system. However, due to its high detection sensitivity, the single-limit comparator has poor anti-interference ability, that is, the collected data oscillates back and forth in a relatively wide range near the zero point, resulting in a significant reduction in the collection accuracy. In view of the above situation, the phase difference between the PT zero crossing and the arrester terminal zero crossing can be detected by using a hysteresis comparator. Compared with the single-limit comparator, the hysteresis comparator can effectively suppress noise interference and ensure the stability of phase difference detection through a double-threshold window and positive feedback to accelerate the response.

[0003] When the hysteresis comparator is applied to a synchronous arrester, due to the setting of the double-threshold window (hysteresis window), the anti-interference performance of the synchronous arrester is guaranteed. Among them, the setting of the width of the hysteresis window becomes a key parameter. If the hysteresis window is set too wide, it may lead to a decrease in the detection sensitivity of the phase difference and a missed detection of the true zero crossing. If it is set too narrow, it may not be able to effectively filter out interference. However, the setting of the hysteresis window is determined according to the application scenario and environmental changes of the synchronous arrester, that is, it dynamically adapts to different widths of the time hysteresis window according to the specific environment. Therefore, in actual operation, the synchronous arrester using the hysteresis comparator will configure the hysteresis window with an appropriate width according to different environmental types. If the hysteresis window parameter is accidentally adjusted or changed, it may directly affect the synchronization state between the synchronous arrester and the power system. Therefore, it is necessary to online monitor and real-time warn the stability of the hysteresis window parameter to ensure the action accuracy of the synchronous arrester.

[0004] In the prior art, the content of real-time monitoring of the hysteresis window parameter covers less. Some only simply warn and monitor whether the hysteresis window parameter itself has changed, without considering whether there is a normal drift phenomenon, nor considering whether the change of the hysteresis window parameter has a substantial impact on the synchronization state of the arrester, resulting in low accuracy of the monitoring and analysis results of the hysteresis window parameter stability.

[0005] In view of this, the present application is specifically proposed. Summary of the Invention

[0006] The object of the present invention is to provide a method and system for monitoring and analyzing the operating state of a synchronous lightning arrester. The method and system analyze and compare the hysteresis window width parameters of different monitoring periods of the synchronous lightning arrester to determine whether there is a normal drift phenomenon, and then comprehensively and real-time monitor the synchronization performance of the lightning arrester by whether the phase difference parameter of the synchronous lightning arrester is affected when the normal drift occurs, so as to improve the accuracy of monitoring and analysis.

[0007] The embodiments of the present invention are implemented as follows:

[0008] In a first aspect, a method for monitoring and analyzing the operating state of a synchronous lightning arrester includes the following steps:

[0009] S100: Lock the target synchronous lightning arrester to be analyzed in the lightning protection network, and extract the hysteresis window width parameters of the target synchronous lightning arrester in the current monitoring period and at least one historical monitoring period, which are respectively recorded as the current window width parameter and the historical window width parameter;

[0010] S200: Determine the configured width interval; judge whether the current window width parameter and the historical window width parameter are within the configured width interval. If both the current window width parameter and the historical window width parameter are within the configured width interval, then proceed to step S300, otherwise give an alarm; wherein, the configured width interval represents the range of the hysteresis window width parameter initially configured for the target synchronous lightning arrester;

[0011] S300: Calculate the change amount between the current window width parameter and the historical window width parameter, and judge whether the change amount drifts. If it drifts, then proceed to step S400, otherwise give an alarm; wherein, the change amount includes a change value and a change rate;

[0012] S400: Collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, and judge whether the phase difference data is within a preset phase difference interval. If it is within the phase difference interval, then proceed to the step of judging the hysteresis window width parameter in the next monitoring period, otherwise give an alarm; wherein, the phase difference data refers to the phase difference parameter detected at the zero crossing point.

[0013] In some optional embodiments, the calculating the change amount between the current window width parameter and the historical window width parameter and judging whether the change amount drifts includes the following steps: Arrange the current window width parameter and all historical window width parameters in chronological order according to the monitoring period; calculate the change amount between every two adjacent window width parameters and sort them; calculate the difference between every two adjacent change amounts, generate a first difference sequence based on the distribution of all differences, and judge whether there is a drift based on the first difference sequence.

[0014] In some optional embodiments, after determining whether the change amount drifts, the following review steps are further included: determining the associated synchronous arrester in the lightning protection network for the target synchronous arrester; obtaining the reference change amount between the current window width parameter and the historical window width parameter of the associated synchronous arrester; calculating the distance between the reference change amount and the change amount; and reviewing the judgment result of whether the change amount drifts according to the comparison result between the distance and the preset distance value.

[0015] In some optional embodiments, after reviewing the judgment result of whether the change amount drifts according to the comparison result between the distance and the preset distance value, a re-review step is further included: obtaining the second difference sequence of the associated synchronous arrester, comparing the second difference sequence with the first difference sequence for differences, and re-reviewing the judgment result of whether the change amount drifts according to the difference comparison result; wherein, the second difference sequence refers to the generation of all difference distribution situations by calculating the reference change amount through adjacent calculation using the current window width parameter and all historical window width parameters of the associated synchronous arrester.

[0016] In some optional embodiments, all the associated synchronous arresters in the lightning protection network for the target synchronous arrester are determined, the second difference sequences of all the associated synchronous arresters are generated, and the judgment result of whether the change amount drifts is re-reviewed by using the difference comparison results between all the second difference sequences and the first difference sequence respectively.

[0017] In some optional embodiments, a step of predicting and analyzing the phase difference data is further included: obtaining the phase difference data of the target synchronous arrester in the current monitoring period and at least one historical monitoring period; sorting all the phase difference data according to the time sequence of the monitoring periods, fitting all the sorted phase difference data to obtain a fitting function; predicting the phase difference data of the next monitoring period according to the fitting function, and judging whether to give a pre-warning according to whether the prediction result is within the preset phase difference interval.

[0018] In some optional embodiments, if a pre-warning is required, the step of adjusting the preset phase difference interval is executed: determining an adjustment base according to all the change amounts; calculating the distance values between every two adjacent phase difference data among all the sorted phase difference data; generating a first distance sequence according to the distribution of all the distance values; calculating the similarity between the first distance sequence and the first difference sequence to obtain a similarity parameter; and adjusting the preset phase difference interval based on the combined result of the similarity parameter and the adjustment base.

[0019] In some alternative embodiments, the determining of the configuration width range includes the following steps: obtaining the environmental interference parameter of the target synchronous lightning arrester, and selecting the basic width parameter range of the hysteresis window according to the environmental interference parameter; obtaining the signal slope influence parameter of the target synchronous lightning arrester, and performing a narrowing adjustment on the basic width parameter range according to the slope influence parameter to obtain a preliminary width range; obtaining the application environment type parameter of the target synchronous lightning arrester; and performing a narrowing adjustment on the preliminary width range according to the application environment type parameter to obtain the configuration width range.

[0020] In some alternative embodiments, it further includes the step of updating the configuration width range: sequentially updating the application environment type parameter of the target synchronous lightning arrester according to the chronological order of the monitoring period, and performing a narrowing adjustment on the preliminary width range according to the latest application environment type parameter to obtain a real-time updated configuration width range.

[0021] In a second aspect, a synchronous lightning arrester operation state monitoring and analysis system includes:

[0022] A first acquisition unit, which is used to execute step S100: lock the target synchronous lightning arrester to be analyzed in the lightning protection network, and extract the hysteresis window width parameters of the target synchronous lightning arrester in the current monitoring period and the historical monitoring period, which are respectively denoted as the current window width parameter and the historical window width parameter;

[0023] A first calculation unit, which is used to execute step S200: determine the configuration width range, and judge whether the current window width parameter and the historical window width parameter are within the configuration width range. If both the current window width parameter and the historical window width parameter are within the configuration width range, then proceed to step S300; otherwise, give an alarm. Wherein, the configuration width range represents the range of the hysteresis window width parameter initially configured for the target synchronous lightning arrester;

[0024] A second calculation unit, which is used to execute step S300: calculate the change amount between the current window width parameter and the historical window width parameter, and judge whether the change amount drifts. If it drifts, then proceed to step S400; otherwise, give an alarm. Wherein, the change amount includes a change value and a change rate;

[0025] A third calculation unit, which is used to execute step S400: collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, and judge whether the phase difference data is within a preset phase difference range. If it is within the phase difference range, then proceed to the step of judging the hysteresis window width parameter in the next monitoring period; otherwise, give an alarm. Wherein, the phase difference data refers to the phase difference parameter detected at the zero crossing point.

[0026] The beneficial effects of the embodiments of the present invention are:

[0027] The synchronous lightning arrester operation status monitoring and analysis method and system provided by the embodiments of the present invention lock the target lightning arrester to be analyzed in the lightning protection network, analyze and compare the hysteresis window width parameters of the target lightning arrester in the current and historical monitoring periods. First, a preliminary analysis is carried out within the configured width range to determine whether there is a jump in the hysteresis window width parameter. Then, when the parameter is within the configured width range, the change amount of the hysteresis window width parameter is further analyzed to determine whether there is a controllable parameter drift phenomenon, that is, whether there is a normal drift. Then, in the case of normal drift, it is finally determined whether there is a significant change in the synchronous lightning arrester phase difference data. Thus, through a multi-level judgment method, it is possible to monitor and analyze in real time whether the hysteresis window width parameter of the target synchronous lightning arrester has a predictable change, so as to ensure the stability of the normal operation of the synchronous lightning arrester. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0029] Figure 1 It is a flowchart of the main steps of the analysis method provided by the embodiments of the present invention;

[0030] Figure 2 For Figure 1 It is a flowchart of one of the steps S300 of the main steps shown;

[0031] Figure 3 For Figure 1 It is a flowchart of one of the steps S200 of the main steps shown;

[0032] Figure 4 It is a modular schematic diagram of the analysis system provided by the embodiments of the present invention.

[0033] Icons: 500 - analysis system; 510 - first acquisition unit; 520 - first calculation unit; 530 - second calculation unit; 540 - third calculation unit. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Components of the embodiments of the present invention usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0035] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0036] It should be understood that the "system", "device" and / or "module" used in the present invention is a way to distinguish different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0037] As shown in the present invention and the claims, unless the context clearly indicates otherwise, words such as "a", "an", "one" and / or "the" are not specifically singular and may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0038] Flowcharts are used in the present invention to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations before or after do not necessarily need to be executed precisely in sequence. On the contrary, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0039] Embodiment

[0040] The synchronous lightning arrester detects the zero-crossing time of the PT and the zero point at the arrester terminal. Generally, a single-threshold comparator is used for phase difference detection. However, in a single-threshold comparator, any slight change in the input voltage near the threshold voltage will cause a jump in the output voltage, regardless of whether this slight change is due to the input voltage or external interference. Therefore, although the single-threshold comparator is very sensitive, its anti-interference ability is poor, resulting in the collected data oscillating back and forth within a relatively wide range near the zero point, leading to a large reduction in the collection accuracy. Especially when used for high-voltage lightning arresters, the original waveform will be even more chaotic. To address this issue, we optimized the corresponding circuit structure and used a hysteresis comparison circuit for zero-crossing detection. After using this circuit, the hysteresis circuit has an inertia link, seemingly reacting relatively "slowly" and being insensitive to slight changes. This part can respond with a certain time lag at the zero-crossing point, avoiding the oscillation near the zero point caused by the superimposed interference signals, so it has a certain anti-interference ability. Moreover, due to the introduction of positive feedback, the response speed will also be faster, further improving the corresponding sensitivity.

[0041] In summary, the synchronous lightning arrester we are currently using detects the phase difference between the zero-crossing point of the PT (system voltage) and the zero-crossing point of the arrester terminal (current) through a hysteresis comparator, and then judges the synchronization state between the lightning arrester and the power system. Compared with the single-threshold comparator, the hysteresis comparator accelerates the response through a double-threshold window and positive feedback, effectively suppressing noise interference and ensuring the stability of phase difference detection. It can be seen that the hysteresis comparator has more practical significance in the application of synchronous lightning arresters. However, the hysteresis comparator ensures the anti-interference performance of the synchronous lightning arrester by setting a double-threshold window (hysteresis window). Once the width of the hysteresis window is set unreasonably (setting the hysteresis window too wide may lead to a decrease in the sensitivity of phase difference detection and missed detection of the true zero-crossing point, and setting it too narrow may not effectively filter out interference) or abnormal changes occur (such as sudden environmental interference, equipment aging, changes in the operating conditions of the power system, physical condition changes, human operations, etc.), it may directly affect the synchronization state between the synchronous lightning arrester and the power system. Therefore, it is necessary to monitor the real-time stability of the hysteresis window width parameter of the hysteresis comparator (for example, directly measuring through a signal generator combined with an oscilloscope or triggering the comparator to flip using a step signal and inferring the window width parameter by measuring the response time, etc.) to ensure the accurate operation of the synchronous lightning arrester.

[0042] When performing real-time stability monitoring on the hysteresis window width parameter of a hysteresis comparator, phenomena such as temperature rise in a high-voltage environment, resistance drift, and capacitor leakage may occur due to factors such as part insulation deterioration or aging. These phenomena can cause the hysteresis window width parameter to shift, leading to long-term drift and ultimately resulting in a decrease in the phase difference detection accuracy. Previously, simply collecting the signal of the hysteresis window width parameter could not effectively observe the change of the hysteresis window width parameter, nor could it determine whether it had a substantial impact on the phase difference detection result based on this change. Therefore, this embodiment provides a synchronous lightning arrester operation status monitoring and analysis method, which can obtain the analysis results of whether the hysteresis window width parameter changes and whether it will have a substantial impact on the phase difference detection result through a multi-level judgment and analysis method, thereby more systematically monitoring the synchronous detection status of the synchronous lightning arrester and the hysteresis comparator.

[0043] Please refer to Figure 1 , a synchronous lightning arrester operation status monitoring and analysis method provided by this embodiment includes the following steps:

[0044] S100: Lock the target synchronous lightning arrester to be analyzed in the lightning protection network, and extract the hysteresis window width parameters of the target synchronous lightning arrester in the current monitoring period and at least one historical monitoring period, which are respectively recorded as the current window width parameter and the historical window width parameter; this step means that by locking and analyzing each synchronous lightning arrester in the lightning protection network (the protection network constructed by lightning arresters) in the area one by one (synchronously or sequentially), and obtaining the configured hysteresis window width parameter of the target synchronous lightning arrester to be analyzed, extracting the hysteresis window width parameters of its current monitoring period and at least one historical monitoring period for comparative analysis, that is, using the current window width parameter and at least one historical window width parameter for subsequent correlation analysis. It should be noted that when there is one historical window width parameter, the current window width parameter and this one historical window width parameter are used for comparative analysis; when there are multiple historical window width parameters, the multiple historical window width parameters are internally compared and analyzed, and then the historical window width parameter of the adjacent monitoring period is used for comparative analysis with the current window width parameter.

[0045] S200: Determine the configured width range; determine whether the current window width parameter and the historical window width parameter are within the configured width range. If both the current window width parameter and the historical window width parameter are within the configured width range, proceed to step S300; otherwise, give an alarm. Herein, the configured width range represents the range of the hysteresis window width parameter initially configured for the target synchronous lightning arrester. This step means to determine the interval (such as ±20mV) where the hysteresis window width parameter pre-configured for a target synchronous lightning arrester is located. The configured width range is configured in a matching manner according to different synchronous lightning arresters. Then, determine whether the current window width parameter and the historical window width parameter obtained for the above-mentioned target synchronous lightning arrester fall within this configured width range, that is, determine whether there is a situation where the actual window width parameter in a certain monitoring period jumps out of the configured width range to make a decision on whether to give an alarm. Specifically, if both the current window width parameter and the historical window width parameter are within the configured width range, proceed to step S300 for further analysis. If at least one of them is not within this configured width range, give an alarm, that is, send an alarm signal so that the background system can receive and handle it in a timely manner.

[0046] S300: Calculate the change amount between the current window width parameter and the historical window width parameter, and determine whether the change amount drifts. If it drifts, proceed to step S400; otherwise, give an early warning. Among them, the change amount includes a change value and a change rate. This step means that when both the current window width parameter and the historical window width parameter are within the configured width range, it indicates that the hysteresis window width parameter is in a controllable state. At this time, the change amount between the current window width parameter and the historical window width parameter can be further judged, the change trend of the hysteresis window width parameter can be determined, and whether the change trend drifts can be further analyzed. As mentioned above, when there is only one historical window width parameter, the current window width parameter is compared and analyzed with this one historical window width parameter to obtain the change amount between the two (including the calculation of the change value and the change rate) to determine whether there is a drift. When there are multiple historical window width parameters, the multiple historical window width parameters are compared and analyzed pairwise (in the order of the monitoring period) to obtain the corresponding change amounts. Then, the historical window width parameter corresponding to the (previous) historical monitoring period adjacent to the current monitoring period is compared and analyzed with the current window width parameter to obtain the corresponding change amount. Finally, all the change amount data is used to determine whether there is a drift. Through the above analysis and judgment of whether there is a parameter drift (the hysteresis window width parameter changes according to a certain rule), if there is a drift, the next analysis is carried out, that is, step S400 is used to analyze whether it affects the synchronous detection performance of the target synchronous lightning arrester to determine whether the drift is controllable; if there is no drift (the hysteresis window width parameter changes disorderly and according to an uncontrollable rule as expected), an early warning is given, that is, an alarm signal is sent so that the background system can receive and handle it in time.

[0047] S400: Collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, and determine whether the phase difference data is within a preset phase difference interval. If it is within the phase difference interval, proceed to the step of judging the hysteresis window width parameter in the next monitoring period; otherwise, give an alarm. Among them, the phase difference data refers to the phase difference parameter detected at the zero crossing point. This step means that after the drift of the change amount judgment occurs, it is necessary to further judge whether the phase difference data of the target synchronous lightning arrester has an uncontrollable change, that is, collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, and determine whether the phase difference data is within the preset phase difference interval. It should be noted that the preset phase difference interval is configured according to the synchronous performance accuracy requirements of the target synchronous lightning arrester. For example, the phase difference (Δt) is configured in the interval of ±50 μs. If it is judged that the phase difference data is within this phase difference interval, it means that the drift is controllable and does not affect the synchronous performance of the synchronous lightning arrester, and the step of judging the hysteresis window width parameter in the next monitoring period can be carried out (repeating the process of steps S100 - S400), otherwise, an alarm is given, that is, a warning signal is sent so that the background system can receive and handle it in time.

[0048] Through the above technical solution, a multi - level dynamic judgment mechanism is used to achieve precise monitoring of the hysteresis window width parameter and performance impact assessment, that is, based on the configured width interval, quickly judge whether the window width parameter is abnormal, then identify the ice flower trend of the window width parameter through the change amount drift analysis, and finally verify whether the drift affects the synchronous performance by combining the phase difference data. It can not only effectively solve the problem of window parameter offset of the hysteresis comparator caused by component aging or environmental interference, but also avoid the misjudgment risk of single - threshold detection through the three - layer progressive logic of correlation analysis of historical and current data, drift trend judgment and actual phase difference verification. At the same time, it can also distinguish controllable drift from dangerous drift, significantly improve the reliability of the synchronous lightning arrester status monitoring and the accuracy of early warning, and ensure the synchronous operation stability of the lightning protection in the power system.

[0049] In some embodiments, for whether the change amount drifts, especially for the controllable parameter drift phenomenon, strict analysis is required. Especially for the parameter drift changes caused by component aging or environmental interference, there are differences, and detailed data listing and analysis are required. For details, please refer to Figure 2 The steps of calculating the change amount between the current window width parameter and the historical window width parameter and determining whether the change amount drifts are as follows:

[0050] S310: Arrange the current window width parameter and all historical window width parameters in chronological order according to the time sequence of the monitoring period; this step means sorting the time sequence of all monitoring periods of the target synchronous lightning arrester in order, that is, arranging the current window width parameter and all historical window width parameters in chronological order (sorting the window width parameters of different monitoring periods in time), with the current window width parameter at the end, and other historical window width parameters arranged in sequence according to the order of the monitoring period. Then proceed to step S320: Calculate the change amount between every two adjacent window width parameters and sort them; this step means calculating the change amount between every two adjacent window width parameters according to the sorting of the current window width parameter and all historical window width parameters, and then sorting all the change amounts correspondingly (sorting according to the positions corresponding to the window width parameters originally involved in the calculation).

[0051] S330: Calculate the difference between every two adjacent change amounts, generate a first difference sequence based on the distribution of all the differences, and determine whether drift occurs based on the first difference sequence; this step means calculating the difference between every two adjacent change amounts based on the sorting of the above change amounts, and then sorting all the differences in the same order for distribution, obtaining the first difference sequence according to the distribution situation. This first difference sequence reflects the development trend of all the change amounts, so as to determine whether drift occurs and the type of drift based on the first difference sequence. If all the differences in the first difference sequence are relatively balanced and close, it indicates that it is very likely that parameter drift is caused by component aging; if there are obvious jumps in individual values of the first difference sequence, it indicates that it is very likely that parameter drift is caused by environmental mutation; if the change trend of the differences in the first difference sequence gradually increases, it may indicate a component failure situation; thus, the form of drift can be judged based on the situation of the first difference sequence.

[0052] Through the above technical solution, a three-step progressive method of combining chronological arrangement of the hysteresis window width parameter to calculate the change amount between adjacent detection periods and sort them, and then constructing a difference sequence to analyze the drift mode is used to achieve precise discrimination of the parameter drift type, providing a data-driven discrimination basis for the maintenance decision of the synchronous lightning arrester. On this basis, considering whether the drift of the hysteresis window width parameter of the synchronous lightning arrester is an accidental phenomenon or a common phenomenon in the area, especially in the case of component aging or environmental mutation, there is similarity in the change of the hysteresis window width parameter among different synchronous lightning arresters in the same lightning protection network. Therefore, based on this feature, it is also necessary to recheck after the change amount of the target synchronous lightning arrester drifts to ensure the reliability of the above analysis. For details, please refer to Figure 2 , after judging whether the change amount drifts, the following recheck steps are also included:

[0053] S340: Determine the associated synchronous lightning arrester in the lightning protection network for the target synchronous lightning arrester; that is, it means that at least one associated synchronous lightning arrester for the target synchronous lightning arrester needs to be determined based on the lightning protection network. The associated synchronous lightning arrester can be a synchronous lightning arrester on the same lightning protection device as the target synchronous lightning arrester, or a synchronous lightning arrester configured on another device of the same type with the same or similar spatial coordinates as the target synchronous lightning arrester. As long as it has a spatio-temporal physical proximity or an electrical connection relevance to the target synchronous lightning arrester. Then obtain the reference change amount between the current window width parameter and the historical window width parameter of the associated synchronous lightning arrester; that is, it means using the same operating principle as in steps S100 - S300 for this associated synchronous lightning arrester to obtain the change amount between the current window width parameter and the historical window width parameter of the associated synchronous lightning arrester, denoted as the reference change amount.

[0054] Then calculate the distance between the reference change amount and the change amount; that is, it means calculating the distance (such as the Euclidean distance value between two numerical values or numerical groups) between the reference change amount (the change amount parameter corresponding to the associated synchronous lightning arrester) and the change amount (the change amount parameter corresponding to the target synchronous lightning arrester); Finally, based on the comparison result between the distance and the preset distance value, review the judgment result on whether the change amount drifts; that is, by analyzing the distance between the reference change amount and the change amount, comparing it with the preset distance value (set according to the accuracy requirement, for example, the difference in the distance value is within 5%), and then judging whether a similar drift phenomenon occurs in the associated synchronous lightning arrester. If the distance meets the requirement of the preset distance value, it indicates that a similar drift phenomenon occurs, and further indicates that the drift analysis result of the above target synchronous lightning arrester is highly reliable.

[0055] By introducing the reference change amount review mechanism of the associated synchronous lightning arrester, a horizontal comparison and verification is added to the original drift analysis. That is, by calculating the distance between the change amounts of the target synchronous lightning arrester and the associated synchronous lightning arrester and comparing it with the preset distance value, it can effectively distinguish local accidental drift (such as single device failure) from regional systematic drift (such as power grid environment mutation or group aging). It can not only verify the reliability of the initial drift judgment but also provide a more comprehensive decision-making basis for the operation and maintenance strategy. On this basis, in order to further ensure the reliability of the drift analysis result of the change amount of the target synchronous lightning arrester and also further verify and review the review step, please refer again to Figure 2 After reviewing the judgment result on whether the change amount drifts based on the comparison result between the distance and the preset distance value, it also includes a re-review step:

[0056] S350: Obtain the second difference sequence of the associated synchronous lightning arrester. The second difference sequence refers to the calculation of all difference distribution situations by using the current window width parameter of the associated synchronous lightning arrester and all historical window width parameters through the reference change amount calculated by adjacent calculation, that is, it means generating the second difference sequence of the associated synchronous lightning arrester by using the same operation principle as in steps S310 - S330. Then, compare the second difference sequence with the first difference sequence, that is, perform comparative analysis by using the obtained second difference sequence and the first difference sequence (the two sequences need to be of the same length, that is, ensure the length matching of the two sequences according to the number of selected identical monitoring periods), so as to compare and obtain the differences between the two sequences. The difference refers to the distribution difference of the differences, such as the distribution difference of the differences, the distribution difference of the jumping points, the distribution difference of the difference change trend, etc. Finally, recheck the judgment result of whether the change amount drifts according to the difference comparison result, that is, judge whether the distributions are highly similar through the difference comparison result of the two sequences, so as to further verify the correlation similarity between the drift of the associated synchronous lightning arrester and the drift of the target synchronous lightning arrester, and at the same time, it also serves as a further auxiliary verification method for the reliability of the foregoing recheck step.

[0057] Through the above technical solution, a recheck mechanism for the second difference sequence is introduced to further deeply analyze the similarity of the drift mode on the basis of horizontally comparing the change amount, that is, verify the coordination of the regional drift by comparing the difference distribution characteristics of the target lightning arrester (the first difference sequence) and the associated lightning arrester (the second difference sequence). The accuracy of drift diagnosis can be improved through the double verification mechanism.

[0058] On the basis of the above solution, considering the importance of the reasonable selection of associated synchronous lightning arresters, which is related to the reliability of the result analysis of the review step and the re-review step, under the condition that computing resources permit, different associated synchronous lightning arresters can also be selected to perform the re-review operation by using the same operating principle as steps S340 and S350 above. Specifically, determining all the associated synchronous lightning arresters in the lightning protection network with respect to the target synchronous lightning arrester means that by determining all the associated synchronous lightning arresters (in the lightning protection network) with respect to the target synchronous lightning arrester, and then generating a second difference sequence for all the associated synchronous lightning arresters, that is, generating a second difference sequence for all the associated synchronous lightning arresters by using the same operating principle as steps S310 - S330, and then using the difference comparison results between each of the second difference sequences and the first difference sequence to re-review the judgment result of whether the change amount drifts, that is, comparing each second difference sequence with the first difference sequence, and finally comprehensively considering all the difference comparison results (for example, characterizing the typicality of all the difference comparison results according to the overall concentration characteristics of different difference comparison results) to re-review the judgment result of whether the change amount drifts, so as to further ensure the reliability of the analysis result of the above re-review step.

[0059] Using the above steps, a multiple judgment and verification mechanism can be carried out on whether the change amount (between the current window width parameter and the historical window width parameter) of the target synchronous lightning arrester drifts, so as to ensure the accuracy and reliability of the drift analysis and judgment result. Similarly, in order to verify and analyze whether the synchronous lightning arrester that affects the target synchronous lightning arrester after drift occurs, especially when the phase difference value changes associatively according to the law of drift occurrence, the phase difference value will also show a predictable planned change. According to this characteristic, the leading predictability of the early warning judgment can be further improved. Specifically, the method for monitoring and analyzing the operating state of the synchronous lightning arrester further includes a step of predicting and analyzing the phase difference data:

[0060] Obtain the phase difference data of the target synchronous lightning arrester in the current monitoring period and at least one historical monitoring period; that is, it means that in addition to obtaining the phase difference data of the target synchronous lightning arrester in the current monitoring period, it is also necessary to obtain the phase difference data of at least one historical monitoring period; then sort all the phase difference data according to the time sequence of the monitoring period, that is, arrange all the phase difference data in chronological order in the same sorting manner as the window width parameter, and fit all the sorted phase difference data (for example, through linear, non-linear fitting or trigonometric function fitting, or by using machine learning methods) and obtain a fitting function; finally, predict the phase difference data of the next monitoring period according to the fitting function, that is, predict the phase difference data of the next time through the obtained fitting function, so as to judge whether to perform pre-warning according to whether the predicted result is within the preset phase difference interval, that is, to achieve the purpose of pre-warning analysis by judging whether the predicted phase difference data is within the preset phase difference interval.

[0061] Through the above technical solutions, it is possible to simultaneously monitor whether the phase difference data changes associatively on the premise that the window width parameter drifts, that is, to predict through the change and development trend of the phase difference data in different monitoring periods. On the one hand, it is to predict and analyze the change trend of the phase difference data itself, so as to achieve the purpose of pre-warning; on the other hand, it has the analysis basis for the change trend of the phase difference data in different monitoring periods and the change trend of the window width parameter in different monitoring periods, so as to have the basis for exploring the associative influence of the change of the window width parameter on the phase difference data. Once it is found that the phase difference data of the next time will jump out of the preset phase difference interval, it means that the change of the window width parameter has a direct impact on the change of the phase difference data, especially causing the phase difference data to drift associatively. In this case, it is necessary to give a timely warning to remind the background to adopt preventive countermeasures in time. The warning method can be achieved by pre-adjusting the preset phase difference interval, that is, by narrowing the preset phase difference interval in the case of obvious drift changes in the phase difference data to achieve the purpose of pre-warning, that is, according to the associative influence of the change trend of the window width parameter on the change trend of the phase difference data, and adjusting the preset phase difference interval accordingly after pre-warning appears in the prediction analysis of the phase difference data.

[0062] Specifically, if pre-warning is required, the following steps for adjusting the preset phase difference interval are executed: Determine an adjustment base according to all the change amounts, that is, determine an adjustment base according to all the change amounts (between the current window width parameter and the historical window width parameter) of the target synchronous lightning arrester. For example, determine the base value of the adjustment base according to the magnitude and change trend of all the change amounts. The larger the change amount, the larger the base value (such as up to 30% of the preset phase difference interval range value), and the steeper the change trend, the larger the base value (such as up to 30% of the preset phase difference interval range value).

[0063] Then, among all the sorted phase difference data, calculate the distance values between every two adjacent phase difference data, and generate a first distance sequence according to the distribution of all the distance values; that is, arrange the phase difference data in chronological order in the same way as the window width parameter, then obtain the distance values of adjacent points in the same way, and generate a first distance sequence according to the distribution of the distance values. This first distance sequence reflects the development trend of all the phase difference data. Then, calculate the similarity between the first distance sequence and the first difference sequence to obtain a similarity parameter; this step means exploring the magnitude of the associated influence of the change trend of the window width parameter on the change trend of the phase difference data through the similarity comparison results (similarity of point values, similarity of the distribution of jumping points, similarity of the change trend of points) between the first distance sequence and the first difference sequence, and obtaining the represented similarity parameter according to the similarity result. Finally, adjust the preset phase difference interval based on the combined result of the similarity parameter and the adjustment base, that is, obtain a combined result through the combination (such as multiplication) of the similarity parameter (as a representation value of the associated influence between the change trend of the window width parameter and the change trend of the phase difference data, such as a percentage value) and the adjustment base (as a representation value of the change trend of the width parameter) to illustrate the influence degree on the change trend of the phase difference data, and adjust the preset phase difference interval according to this influence degree. If the influence degree is larger, the range of the shrinkage adjustment of the preset phase difference interval is larger, and vice versa, the range of the shrinkage adjustment is smaller.

[0064] Through the above technical solutions, a time series prediction of phase difference data and a dynamic adjustment mechanism of the preset phase difference interval are introduced to achieve active defense against the performance degradation of synchronous lightning arresters. That is, based on the fitting prediction of historical phase difference data, potential out-of-step risks can be identified in advance, and then the preset phase difference interval threshold can be purposefully narrowed by combining the correlation analysis of the drift of the window width parameter and the change of the phase difference data, significantly improving the warning sensitivity while maintaining the system stability.

[0065] In some embodiments, the selection of the configured width interval is directly related to the judgment accuracy of whether the subsequent window width parameter undergoes controllable drift. For different target synchronous lightning arresters, their configured width intervals vary due to different component configurations, different environments, and different application types. Therefore, it is necessary to determine in advance whether the configured width interval corresponds and matches. First, a configured width interval needs to be determined, and then the configured width interval is updated according to the actual situation. For details, please refer to Figure 3 , and the determination of the configured width interval includes the following steps:

[0066] S210: Obtain the environmental interference parameter of the target synchronous lightning arrester, and select the basic width parameter range of the hysteresis window according to this environmental interference parameter; this step means first determining the environmental interference parameter of the target synchronous lightning arrester. The environmental interference parameter is an empirical value, which is determined according to the type and degree of interference noise. And the greater the noise amplitude, the wider the hysteresis window. Thus, by determining the environmental interference parameter in advance, the basic width parameter range of the hysteresis window is selected. For example, the stronger the industrial harmonic interference, the hysteresis window width can be set in the range of ±10 to ±30 mV.

[0067] S220: Obtain the signal slope influence parameter of the target synchronous lightning arrester, and perform a narrowing adjustment on the basic width parameter range according to this slope influence parameter to obtain a preliminary width interval; this step means then obtaining the signal slope influence parameter of the target synchronous lightning arrester (such as the lightning strike pulse parameter of a steep signal). The steeper the pulse signal parameter, the higher positive feedback coefficient is required to accelerate the response. At this time, the hysteresis window is relatively narrowed. That is, the basic width parameter range is narrowed according to this slope influence parameter. For example, the range of ±10 to ±30 mV is narrowed to the range of ±10 to ±20 mV, so as to obtain a preliminary width interval.

[0068] S230: Obtain the application environment type parameter of the target synchronous lightning arrester; perform a narrowing adjustment on the preliminary width interval according to this application environment type parameter to obtain the configured width interval; this step means finally obtaining the application environment type parameter of the target synchronous lightning arrester (such as application environments like areas with frequent lightning, industrial harmonic interference, high humidity, and high pollution environments), and performing a narrowing adjustment on the preliminary width interval according to different application environment type parameters to obtain the configured width interval. For example, the hysteresis window in an area with frequent lightning is relatively wide, such as further selecting the range of ±15 to ±20 mV as the configured width interval.

[0069] Taking the high-voltage synchronous lightning arrester in a certain chemical industrial park as an example, its configured width range is determined through three-level dynamic adjustment: First, based on a strong industrial harmonic environment (interference amplitude of 50 mV), a basic width of ±25 mV is set; then, due to the steep characteristics of lightning strike signals (rise time of 0.5 μs), the window is narrowed to ±18 mV to ensure fast response; finally, in combination with a high salt spray corrosion environment (annual average humidity of 80%), it is calibrated secondarily to ±15 - 18 mV. The final configured range is narrowed by 28% compared to the initial range, which not only suppresses harmonic interference but also ensures sensitive capture of lightning strike signals, while reserving a parameter drift margin for component aging caused by salt spray. Through the foregoing technical solution, by using the method of hierarchically dynamically adjusting the configured width range, the precise matching of the hysteresis window parameters with the actual working conditions of the target synchronous lightning arrester is achieved. It not only ensures the anti-interference ability (such as wide windows in industrial areas to suppress noise) but also takes into account the response sensitivity (such as rapid detection of steep signals in lightning strike areas), enabling the configured width range to dynamically adapt to the component characteristics, signal characteristics, and deployment environments of different lightning arresters. On this basis, considering that there may be a change in the environmental type, which may lead to a decrease in the adaptability of the configured width range, timely update is required, that is, after the configured width range is determined, it also includes the step of updating the configured width range:

[0070] S240: According to the time sequence of the monitoring period, sequentially update the application environment type parameters of the target synchronous lightning arrester, and perform a narrowing adjustment on the pre-width range according to the latest application environment type parameters to obtain a real-time updated configured width range; this step means that according to the progress of the monitoring period, it is necessary to determine the application environment type parameters of the target synchronous lightning arrester in real time, so as to participate in the determination of the configured width range with the latest application environment type parameters, that is, perform a narrowing adjustment on the pre-width range according to the latest application environment type parameters to obtain a real-time updated configured width range, so as to adapt to the situation where the adaptability of the configured width range decreases due to changes in the environmental type. By introducing a dynamic update mechanism for the configured width range and adjusting the hysteresis window threshold range in real time based on the environmental parameters of the latest monitoring period, the problem of adaptation failure caused by environmental mutations (such as a sudden increase in humidity due to seasonal changes, the addition of new harmonic sources in industrial areas, etc.) in the traditional fixed configuration range can be effectively solved.

[0071] In this embodiment, a synchronous lightning arrester operation state monitoring and analysis system 500 is also provided. Please refer to Figure 4The modular schematic diagram of the synchronous lightning arrester operation status monitoring and analysis system 500 is mainly used to divide the function modules of the synchronous lightning arrester operation status monitoring and analysis system 500 according to the embodiments of the above method. For example, each function module can be divided, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of a software function module. It should be noted that the division of modules in the present invention is illustrative, only a logical function division, and there may be other division methods in actual implementation. For example, in the case of dividing each function module corresponding to each function, Figure 4 Only a schematic diagram of a system / device is shown. Among them, the synchronous lightning arrester operation status monitoring and analysis system 500 may include a first acquisition unit 510, a first calculation unit 520, a second calculation unit 530, and a third calculation unit 540. The functions of each unit module will be described below.

[0072] The first acquisition unit 510 is used to execute step S100: lock the target synchronous lightning arrester to be analyzed in the lightning protection network, and extract the hysteresis window width parameters of the target synchronous lightning arrester in the current monitoring period and the historical monitoring period, which are respectively recorded as the current window width parameter and the historical window width parameter;

[0073] The first calculation unit 520 is used to execute step S200: determine the configured width interval, and judge whether the current window width parameter and the historical window width parameter are within the configured width interval. If both the current window width parameter and the historical window width parameter are within the configured width interval, then proceed to step S300, otherwise give an alarm; wherein, the configured width interval represents the range of the hysteresis window width parameter initially configured for the target synchronous lightning arrester; in some embodiments, the first calculation unit 520 is further used to obtain the environmental interference parameter of the target synchronous lightning arrester, and select the basic width parameter range of the hysteresis window according to the environmental interference parameter; obtain the signal slope influence parameter of the target synchronous lightning arrester, and reduce and adjust the basic width parameter range according to the slope influence parameter to obtain a preliminary width interval; obtain the application environment type parameter of the target synchronous lightning arrester; reduce and adjust the preliminary width interval according to the application environment type parameter to obtain the configured width interval. And it is used to sequentially update the application environment type parameter of the target synchronous lightning arrester according to the time sequence of the monitoring period, and reduce and adjust the preliminary width interval according to the latest application environment type parameter to obtain a real-time updated configured width interval.

[0074] A second computing unit 530, which is configured to execute step S300: calculate the change amount between the current window width parameter and the historical window width parameter, determine whether the change amount drifts, and if it drifts, perform step S400, otherwise give an early warning; wherein, the change amount includes a change value and a change rate; in some embodiments, the second computing unit 530 is further configured to arrange the current window width parameter and all historical window width parameters in chronological order according to the time sequence of the monitoring period; calculate the change amount between every two adjacent window width parameters and sort them; calculate the difference between every two adjacent change amounts, generate a first difference sequence based on the distribution of all differences, and determine whether there is a drift based on the first difference sequence. It is also used to determine the associated synchronous lightning arrester in the lightning protection network with respect to the target synchronous lightning arrester; obtain the reference change amount between the current window width parameter and the historical window width parameter of the associated synchronous lightning arrester; calculate the distance between the reference change amount and the change amount; and review the judgment result of whether the change amount drifts according to the comparison result between the distance and a preset distance value. And it is used to obtain the second difference sequence of the associated synchronous lightning arrester, compare the second difference sequence with the first difference sequence, and re-review the judgment result of whether the change amount drifts according to the difference comparison result. It is also used to determine all the associated synchronous lightning arresters in the lightning protection network with respect to the target synchronous lightning arrester, generate the second difference sequences of all the associated synchronous lightning arresters, and re-review the judgment result of whether the change amount drifts by using the difference comparison results of the second difference sequences and the first difference sequence respectively.

[0075] The third calculation unit 540 is configured to execute step S400: collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, determine whether the phase difference data is within a preset phase difference interval, and if it is within the phase difference interval, perform the hysteresis window width parameter judgment step for the next monitoring period, otherwise give an alarm; wherein, the phase difference data refers to the phase difference parameter detected at the zero crossing point. In some embodiments, the third calculation unit 540 is further configured to obtain the phase difference data of the target synchronous lightning arrester in the current monitoring period and at least one historical monitoring period; sort all the phase difference data according to the time sequence of the monitoring periods, fit all the sorted phase difference data and obtain a fitting function; predict the phase difference data of the next monitoring period according to the fitting function, and determine whether to give a pre-warning according to whether the prediction result is within the preset phase difference interval. And it is used to determine an adjustment base according to all the change amounts; in all the sorted phase difference data, calculate the distance value between every two adjacent phase difference data; generate a first distance sequence according to the distribution of all the distance values; calculate the similarity between the first distance sequence and the first difference sequence to obtain a similarity parameter; adjust the preset phase difference interval based on the combined result of the similarity parameter and the adjustment base.

[0076] In the above embodiments, the more specific working processes of the functional units can refer to the corresponding content disclosed in the foregoing method embodiments. In addition, the functional units can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless manner. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)) and the like.

[0077] Embodiments of the present application are described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0078] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0079] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process Figure 1 one process or multiple processes and / or blocks Figure 1 or means for implementing the functions specified in multiple blocks.

[0080] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A method for monitoring and analyzing the operating status of a synchronous lightning arrester, characterized in that: The steps include: S100: Locking a target synchronous lightning arrester to be analyzed in a lightning protection network, extracting a hysteresis window width parameter of the target synchronous lightning arrester in a current monitoring cycle and at least one historical monitoring cycle, and recording them as a current window width parameter and a historical window width parameter respectively; S200: Determine the configuration width interval; determine whether the current window width parameter and the historical window width parameter are within the configuration width interval, if the current window width parameter and the historical window width parameter are both within the configuration width interval, proceed to step S300, otherwise, issue an early warning; wherein the configuration width interval represents the range of the hysteresis window width parameter of the initial configuration of the target synchronous arrester; S300: Calculate the change between the current window width parameter and the historical window width parameter, and determine whether the change has drifted. If drift has occurred, proceed to step S400, otherwise, issue an early warning; wherein the change includes a change value and a change rate; S400: Collect the phase difference data of the target synchronous lightning arrester in the current monitoring period, and determine whether the phase difference data is within a preset phase difference interval. If it is within the phase difference interval, perform the hysteresis window width parameter determination step for the next monitoring period, otherwise issue an early warning; wherein the phase difference data refers to the phase difference parameter of the zero-crossing detection.

2. The synchronous lightning arrester operating status monitoring and analysis method according to claim 1 is characterized in that: The calculating the change between the current window width parameter and the historical window width parameter and judging whether the change has drifted comprises the following steps: According to the time sequence of the monitoring period, the current window width parameter and all historical window width parameters are arranged in time sequence; the change between each two adjacent window width parameters is calculated and sorted; The difference between every two adjacent changes is calculated, a first difference sequence is generated according to the distribution of all the differences, and whether drift occurs is determined based on the first difference sequence.

3. The synchronous lightning arrester operating status monitoring and analysis method according to claim 2 is characterized in that: After determining whether the change amount has drifted, the following review step is also included: Determine the associated synchronous lightning arrester with the target synchronous lightning arrester in the lightning protection network; obtain the reference change between the current window width parameter and the historical window width parameter of the associated synchronous lightning arrester; calculate the distance between the reference change and the change; and review the judgment result of whether the change has drifted based on the comparison result of the distance with the preset distance value.

4. The synchronous lightning arrester operating status monitoring and analysis method according to claim 3 is characterized in that: After reviewing the result of judging whether the change amount has drifted according to the comparison result between the distance and the preset distance value, the method further includes the following steps: Obtain a second difference sequence of the associated synchronous arrester, compare the second difference sequence with the first difference sequence, and re-check the judgment result of whether the change amount drifts according to the difference comparison result; wherein, the second difference sequence refers to the current window width parameter of the associated synchronous arrester and all historical window width parameters generated by calculating all difference distributions through adjacent calculated reference changes.

5. The synchronous lightning arrester operating status monitoring and analysis method according to claim 4 is characterized in that: Determine all associated synchronous lightning arresters with the target synchronous lightning arrester in the lightning protection network, generate second difference sequences for all associated synchronous lightning arresters, and recheck the judgment result of whether the change amount drifts by comparing the difference between all second difference sequences and the first difference sequence.

6. The synchronous lightning arrester operating status monitoring and analysis method according to claim 2 or 5, characterized in that: It also includes the steps of predictive analysis of phase difference data: Obtain the phase difference data of the target synchronous lightning arrester in the current monitoring cycle and at least one historical monitoring cycle; sort all the phase difference data according to the time sequence of the monitoring cycle, fit all the sorted phase difference data and obtain the fitting function; predict the phase difference data of the next monitoring cycle according to the fitting function, and determine whether to issue an advance warning based on whether the prediction result is within the preset phase difference interval.

7. The synchronous lightning arrester operating status monitoring and analysis method according to claim 6 is characterized in that: If advance warning is required, perform the steps for adjusting the preset phase difference interval: Determine the adjustment base according to all the changes; calculate the distance value between every two adjacent phase difference data among all the sorted phase difference data; generate a first distance sequence according to the distribution of all the distance values; calculate the similarity between the first distance sequence and the first difference sequence to obtain a similarity parameter; The preset phase difference interval is adjusted based on a combination result of the similarity parameter and the adjustment base.

8. The synchronous lightning arrester operating status monitoring and analysis method according to claim 1 is characterized in that: Determining the configuration width interval comprises the following steps: Obtaining the environmental interference parameter of the target synchronous lightning arrester, and selecting the basic width parameter range of the hysteresis window according to the environmental interference parameter; obtaining the signal slope influence parameter of the target synchronous lightning arrester, and narrowing and adjusting the basic width parameter range according to the slope influence parameter to obtain a pre-width interval; The application environment type parameter of the target synchronous lightning arrester is obtained; and the pre-width interval is reduced and adjusted according to the application environment type parameter to obtain the configuration width interval.

9. The synchronous lightning arrester operating status monitoring and analysis method according to claim 8, characterized in that: The step of updating the configuration width interval is also included: According to the time sequence of the monitoring cycle, the application environment type parameters of the target synchronous lightning arrester are sequentially updated, and the pre-width interval is narrowed and adjusted according to the latest application environment type parameters to obtain a real-time updated configuration width interval.

10. A synchronous lightning arrester operating status monitoring and analysis system, characterized in that: include: The first acquisition unit is used to execute step S100: lock the target synchronous lightning arrester to be analyzed in the lightning protection network, extract the hysteresis window width parameter of the target synchronous lightning arrester in the current monitoring period and the historical monitoring period, and record them as the current window width parameter and the historical window width parameter respectively; A first calculation unit, which is used to execute step S200: determine a configuration width interval, determine whether the current window width parameter and the historical window width parameter are within the configuration width interval, and if both the current window width parameter and the historical window width parameter are within the configuration width interval, perform step S300, otherwise, issue an early warning; wherein the configuration width interval represents the range of the hysteresis window width parameter of the initial configuration of the target synchronous arrester; A second calculation unit is used to execute step S300: calculate the change amount between the current window width parameter and the historical window width parameter, determine whether the change amount drifts, and if drift occurs, perform step S400, otherwise, issue an early warning; wherein the change amount includes a change value and a change rate; The third calculation unit is used to execute step S400: collecting the phase difference data of the target synchronous lightning arrester in the current monitoring period, and judging whether the phase difference data is within a preset phase difference interval; if it is within the phase difference interval, performing the hysteresis window width parameter judgment step for the next monitoring period, otherwise, issuing an early warning; wherein the phase difference data refers to the phase difference parameter of the zero-crossing detection.

Images