Lightning protection grounding online intelligent monitoring system

Abstract

The present application relates to lightning protection grounding performance monitoring, especially to a lightning protection grounding online intelligent monitoring system, comprising, monitoring execution module, used to determine abnormal execution point and the verification priority coefficient of each abnormal execution point; monitoring evaluation module, used to determine each abnormal execution point according to regional anomaly evaluation index, and each abnormal execution point is determined to carry out immediate abnormal analysis or stage abnormal analysis; stage abnormal analysis module, used to determine how to adjust the verification priority coefficient according to the regional anomaly proportion index and the regional continuous balance index; immediate abnormal analysis module, used to determine whether the verification priority coefficient is adjusted according to the stage reference anomaly index; verification execution module, used to determine whether the verification priority coefficient is adjusted according to the regional verification difference index. The present application improves the abnormal verification efficiency in the monitoring process of lightning protection grounding resistance.

Description

TECHNICAL FIELD

[0001] The present application relates to lightning protection grounding performance monitoring, in particular to a lightning protection grounding online intelligent monitoring system. BACKGROUND

[0002] The lightning protection grounding resistance is an important indicator for measuring the actual ability of the lightning protection grounding system to discharge lightning electrical energy, and the continuous monitoring process of the lightning protection grounding resistance can effectively respond to the faults and defects existing in the lightning protection grounding system, thereby providing a basis for the operation and maintenance decision of the lightning protection grounding system. However, in the actual monitoring process of the lightning protection grounding resistance, the monitoring results obtained are affected by a large number of interference factors. If the difference between the obtained monitoring results and the standard condition is used to determine whether the grounding resistance is abnormal, the effectiveness of the determination result cannot be effectively guaranteed. On-site evaluation of the abnormal conditions of each grounding resistance can easily cause waste of human resources. Therefore, how to effectively analyze the abnormal evaluation results of the lightning protection grounding resistance and optimize the verification execution process of each lightning protection grounding resistance based on the analysis results is a problem that needs to be solved by those skilled in the art.

[0003] Chinese patent publication No. CN115453208A discloses a lightning protection grounding resistance monitoring system for a photovoltaic power station, which is realized by a monitoring device. The monitoring device includes a control unit and a touch screen. The control unit includes a power supply circuit, a voltage stabilizing circuit, a signal generating circuit, an amplifying circuit, and a collecting circuit. The touch screen is used to realize parameter setting, parameter display, data storage, data interaction, and data communication. The monitoring device performs real-time monitoring, and the process includes initialization, parameter setting, real-time monitoring, alarm, and stopping. However, the above-mentioned scheme has the following defects: it fails to analyze the reliability of the abnormal evaluation results based on the actual monitoring results of the lightning protection grounding resistance, resulting in poor effectiveness of the setting results of the verification execution process of each lightning protection grounding resistance, and further resulting in poor verification efficiency of the resistance abnormality in the monitoring process of the lightning protection grounding resistance. SUMMARY

[0004] To achieve the above-mentioned purpose, the present application provides a lightning protection grounding online intelligent monitoring system to overcome the problem that the prior art fails to analyze the reliability of the abnormal evaluation results based on the actual monitoring results of the lightning protection grounding resistance, resulting in poor effectiveness of the setting results of the verification requirement of each lightning protection grounding resistance, and further resulting in poor verification efficiency of the resistance abnormality in the monitoring process of the lightning protection grounding resistance.

[0005] Therefore, the present application provides a lightning protection grounding online intelligent monitoring system, which includes:

[0006] The monitoring execution module comprises a plurality of monitoring execution devices for monitoring resistance monitoring data of each monitoring execution point to determine abnormal execution points and verification priority coefficients of each abnormal execution point;

[0007] The monitoring evaluation module is connected with the monitoring execution module to determine abnormal evaluation states of each abnormal execution point according to a regional abnormal evaluation index and to determine whether to perform immediate abnormal analysis or stage abnormal analysis on each abnormal execution point according to the abnormal evaluation state thereof;

[0008] The stage abnormal analysis module is connected with the monitoring execution module and the monitoring evaluation module to perform stage abnormal analysis and to determine whether to adjust the verification priority coefficients according to the regional abnormal evaluation index or the point interference index according to a regional abnormal proportion index and a regional continuous balance index;

[0009] The immediate abnormal analysis module is connected with the monitoring execution module and the monitoring evaluation module to perform immediate abnormal analysis and to determine whether to adjust the verification priority coefficients of each abnormal execution point according to a stage reference abnormal index;

[0010] The verification execution module is connected with the stage abnormal analysis module and the immediate abnormal analysis module to determine whether to adjust the verification priority coefficients of each abnormal execution point according to a regional verification difference index and to perform verification on each abnormal execution point based on the verification priority coefficients of each abnormal execution point.

[0011] Further, the abnormal execution point is a monitoring execution point with a monitoring abnormal index greater than a preset monitoring abnormal index or a monitoring difference continuous index greater than a preset monitoring difference continuous index.

[0012] The verification priority coefficients are in a positive correlation with the monitoring abnormal index and the monitoring difference continuous index.

[0013] Further, the abnormal evaluation state comprises a first preset abnormal evaluation state and a second preset abnormal evaluation state, wherein,

[0014] The abnormal execution point in the first preset abnormal evaluation state is an abnormal execution point with a regional abnormal evaluation index greater than a preset regional abnormal evaluation index.

[0015] The abnormal execution point in the second preset abnormal evaluation state is an abnormal execution point with a regional abnormal evaluation index less than or equal to a preset regional abnormal evaluation index.

[0016] The regional abnormal evaluation index is determined according to the monitoring difference continuous index of each monitoring execution point.

[0017] Further, if there is an abnormal execution point in the first preset abnormal evaluation state, stage abnormality analysis is performed on the abnormal execution point.

[0018] Further, if the area abnormality proportion index of the abnormal execution point in the first preset abnormal evaluation state is greater than the preset area abnormality proportion index or the area continuous balance index is greater than the preset area continuous balance index, the verification priority coefficient of the abnormal execution point is increased according to the area abnormality evaluation index;

[0019] The increase value of the verification priority coefficient is positively correlated with the area abnormality evaluation index.

[0020] Further, if the area abnormality proportion index of the abnormal execution point in the first preset abnormal evaluation state is less than or equal to the preset area abnormality proportion index and the area continuous balance index is less than or equal to the preset area continuous balance index, the verification priority coefficient of the abnormal execution point is decreased according to the point interference index;

[0021] The decrease value of the verification priority coefficient is positively correlated with the point interference index.

[0022] Further, the setting mode of the point interference index is determined according to the area balance proportion index of the abnormal execution point;

[0023] If the area balance proportion index of the abnormal execution point is greater than the preset area balance proportion index, the point interference index of the abnormal execution point is determined according to the area balance proportion index;

[0024] If the area balance proportion index of the abnormal execution point is less than or equal to the preset area balance proportion index, the point interference index of the abnormal execution point is determined according to the point jump proportion index.

[0025] Further, if there is an abnormal execution point in the second preset abnormal evaluation state, immediate abnormality analysis is performed on the abnormal execution point, wherein,

[0026] The stage reference abnormality index is determined according to the monitoring abnormality index obtained by each monitoring execution cycle in the monitoring execution stage for the abnormal execution point.

[0027] Further, if the stage reference abnormality index of the abnormal execution point in the second preset abnormal evaluation state is greater than the preset stage reference abnormality index, the verification priority coefficient of the abnormal execution point is increased according to the stage reference abnormality index;

[0028] The increase value of the verification priority coefficient is positively correlated with the stage reference abnormality index.

[0029] Further, if the area verification difference index of the abnormal execution point position is greater than the preset area verification difference index, the verification priority coefficient of the abnormal execution point position is increased according to the area balance proportion index.

[0030] The increase value of the verification priority coefficient and the area balance proportion index are in a positive correlation.

[0031] Compared with the prior art, the present application has the beneficial effects that the abnormal evaluation state of each abnormal execution point position is determined according to the area abnormal evaluation index, and the immediate abnormal analysis or the stage abnormal analysis is determined according to the abnormal evaluation state, the reliability of the abnormal condition of each abnormal execution point position is evaluated according to the actual state of each grounding resistance, and the verification requirement of the abnormal execution point position is optimized, so that the verification efficiency of the abnormal condition of the grounding resistance in the lightning protection grounding resistance monitoring process is improved.

[0032] Further, the stage abnormal analysis is performed on the abnormal execution point position in the first preset abnormal evaluation state, the abnormal duration of other monitoring execution point positions in the vicinity of the abnormal execution point position is large, which indicates that there are many other point positions that can assist in verifying the abnormal condition, so the accuracy of the abnormal determination result of the abnormal execution point position is further verified by monitoring the monitoring condition of other monitoring execution point positions in the vicinity, the priority execution scheme of the verification process is optimized, and the verification efficiency of the abnormal resistance is further improved.

[0033] Further, the specific adjustment scheme of the verification priority coefficient of each abnormal execution point position is selected according to the area abnormal proportion index and the area continuous balance index for the abnormal execution point position in the first preset abnormal evaluation state, the richness of the abnormal execution point position with similar abnormal conditions is represented by the area abnormal proportion index and the area continuous balance index, and when the area abnormal proportion index or the area continuous balance index is large, the reliability of the obtained abnormal monitoring result is high, the influence degree of the overall evaluation area is represented by the area abnormal evaluation index, the verification priority coefficient is adjusted to make it more preferentially verified, the effectiveness of the verification decision is improved, and the monitoring quality of the grounding resistance is improved.

[0034] Further, in the present application, for the abnormal monitoring point with small regional abnormal proportion index and small regional continuous balance index, since the monitoring condition obtained by the abnormal monitoring point is different from the monitoring conditions of the more monitoring execution points in the evaluation region, the abnormal reason of the abnormal monitoring point is different from the abnormal reasons of other abnormal monitoring points in the evaluation region, and the reliability of the monitoring result of the abnormal monitoring point cannot be evaluated. The external interference degree of the abnormal condition of the abnormal execution point is evaluated to optimize the verification priority coefficient, reduce the influence of external interference on the monitoring result obtained by the monitoring execution point, and improve the effectiveness of the verification decision.

[0035] Further, in the present application, the setting mode of the point interference index is determined according to the regional balance proportion index of the abnormal execution point. The regional balance proportion index represents the degree of environmental influence on each abnormal execution point, and the point interference index is set accordingly. The external interference evaluation process of the abnormal execution point is more in line with the actual situation, and the effectiveness of the adjustment result of the verification priority coefficient according to the external interference degree is improved. The present application improves the effectiveness of the verification decision, and further improves the monitoring quality of the grounding resistance. BRIEF DESCRIPTION OF DRAWINGS

[0036] Fig. 1 It is a module connection diagram of the lightning protection grounding online intelligent monitoring system of the present application.

[0037] Fig. 2 It is a flowchart of determining the abnormal evaluation state of each abnormal execution point according to the regional abnormal evaluation index.

[0038] Fig. 3 It is a flowchart of determining whether to perform immediate abnormal analysis or stage abnormal analysis on each abnormal execution point according to the abnormal evaluation state.

[0039] Fig. 4 It is a flowchart of determining whether to perform abnormal effective analysis or abnormal trace analysis on the abnormal execution point according to the regional abnormal proportion index and the regional continuous balance index. DETAILED DESCRIPTION

[0040] In order to make the purpose and advantages of the present application more clear and explicit, the present application will be further described below in combination with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0041] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application.

[0042] It should be noted that in the description of the present application, the terms of direction or position relationship such as "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or position relationship shown in the drawings, which is only for the convenience of description, and does not indicate or imply that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application.

[0043] In addition, it should also be noted that in the description of the present application, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connecting" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium; it can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0044] Please refer to Figs. 1 to 4 The present application provides a lightning protection grounding online intelligent monitoring system, which comprises:

[0045] The monitoring execution module comprises a plurality of monitoring execution devices, which are used for resistance monitoring data of each monitoring execution point, to determine abnormal execution points and verification priority coefficients of each abnormal execution point;

[0046] The monitoring evaluation module is connected with the monitoring execution module, and is used to determine the abnormal evaluation state of each abnormal execution point according to the regional abnormal evaluation index, and to determine whether to perform immediate abnormal analysis or stage abnormal analysis on each abnormal execution point according to the abnormal evaluation state;

[0047] The stage abnormal analysis module is connected with the monitoring execution module and the monitoring evaluation module respectively, and is used to perform stage abnormal analysis, and to determine whether to adjust the verification priority coefficient according to the regional abnormal evaluation index or the point interference index according to the regional abnormal proportion index and the regional continuous balance index;

[0048] The immediate abnormal analysis module is connected with the monitoring execution module and the monitoring evaluation module respectively, and is used to perform immediate abnormal analysis, and to determine whether to adjust the verification priority coefficient of each abnormal execution point according to the stage reference abnormal index;

[0049] The verification execution module is connected with the stage abnormal analysis module and the immediate abnormal analysis module respectively, and is used to determine whether to adjust the verification priority coefficient of each abnormal execution point according to the regional verification difference index, and to verify each abnormal execution point based on the verification priority coefficient of each abnormal execution point.

[0050] Wherein, the application is applied to the optimization of abnormal monitoring and fault verification process of lightning protection grounding resistance in lightning protection grounding monitoring, there are several monitoring execution points and several monitoring execution devices in the application, each monitoring execution point corresponds to a grounding resistance, each monitoring execution device corresponds to the acquisition of the value of the abnormal evaluation parameter of several monitoring execution points, the types of abnormal evaluation parameters for evaluating whether each monitoring execution point is abnormal in the application include but are not limited to: grounding resistance value, grounding resistance rate and soil resistance rate, according to the verification priority of each abnormal execution point, the priority of the field verification is set, the greater the verification priority of the abnormal execution point, the more priority the field verification is carried out;

[0051] Wherein, how to detect each abnormal evaluation parameter in real time is mastered by those skilled in the art, for example, the grounding resistance value is the resistance value of each grounding resistance, which can be detected by a three-pole detection device or a grounding test terminal as a monitoring execution device, the detection steps include: terminal pretreatment, welding a special test terminal on the grounding resistance, rust prevention, auxiliary electrode fixation, installation of three-pole monitoring instrument, setting of sampling frequency and other parameters, and real-time uploading of the obtained detection results, for example, the grounding resistance rate represents the conductivity efficiency of the soil around each grounding resistance, which can be detected by an integrated grounding resistance rate monitor as a monitoring execution device, the detection steps include: arranging electrodes along the main flow direction of the grounding body, connecting the monitor to the test terminal of the grounding resistance, and calibrating the monitor, and detecting with the set sampling frequency and other parameters, users can make specific settings and adaptive adjustments according to the detection steps of each abnormal evaluation parameter and the monitoring execution device used according to the actual working scene, which is easily understood by those skilled in the art, and will not be described here.

[0052] Several monitoring management records are applied in the application, each monitoring management record records at least one monitoring abnormality index, monitoring difference duration index, regional abnormality evaluation index, regional abnormality proportion index, regional continuous balance index, regional balance proportion index, continuous difference parameter, stage reference abnormality index and regional verification difference index of the abnormal monitoring and fault verification process of lightning protection grounding resistance, and each monitoring management record corresponds to a qualified mark, which records whether the abnormal monitoring quality in the monitoring process of lightning protection grounding resistance meets the user's demand.

[0053] Specifically, the abnormal execution point is a monitoring execution point with a monitoring abnormality index greater than a preset monitoring abnormality index or a monitoring difference duration index greater than a preset monitoring difference duration index;

[0054] The verification priority coefficient is in positive correlation with the monitoring abnormality index and the monitoring difference duration index.

[0055] In the present application, a monitoring execution cycle is applied, and the length of the monitoring execution cycle can be determined by the user. The higher the requirement of the user for the abnormality verification efficiency of the abnormality monitoring process of the lightning protection grounding resistance, the shorter the length of the monitoring execution cycle. The length of the monitoring execution cycle is 5 minutes. At the end of each monitoring execution cycle, the abnormality evaluation parameters of each monitoring execution point are detected to determine the abnormal execution point.

[0056] If the current time is the end time of a monitoring execution cycle, the abnormality evaluation parameters of each monitoring execution point are obtained to determine the monitoring abnormality index and the monitoring abnormality duration index of each monitoring execution point. For a single monitoring execution point, the monitoring abnormality index is the average value of the abnormality indexes of the abnormality evaluation parameters of the grounding resistance corresponding to the monitoring execution point. For a single abnormality evaluation parameter, the abnormality index = | the value obtained by the monitoring execution cycle for the abnormality evaluation parameter - the preset standard value of the abnormality evaluation parameter | / the preset standard value of the abnormality evaluation parameter. The preset standard value of each abnormality evaluation parameter can be set by the user according to the actual situation. How to set the preset standard value of each abnormality evaluation parameter according to the actual working scene is a content that has been mastered by those skilled in the art, and will not be repeated here. The monitoring difference duration index is the number of monitoring execution cycles in the abnormality duration stage of the monitoring execution point. The end time of the abnormality duration stage is the current time. Each monitoring execution cycle in the abnormality duration stage is continuous and is an abnormal monitoring cycle for the monitoring execution point. The abnormal monitoring cycle is a monitoring execution cycle in which the abnormality evaluation parameter of the monitoring execution point has an abnormal index greater than the preset monitoring abnormality index. The verification priority coefficient is in positive correlation with the monitoring evaluation index, and the monitoring evaluation index is the sum of the monitoring abnormality index and the monitoring difference duration index.

[0057] The user can determine the values of the preset monitoring difference index and the preset monitoring difference duration index according to the actual working scene. For example, the user can set the values according to the monitoring management record. The higher the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is, the smaller the value of the preset monitoring difference index is, and the smaller the value of the preset monitoring difference duration index is. A method for determining the value of the preset monitoring difference index is provided. The average value of the monitoring abnormal index of the abnormal execution point in the monitoring management record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset monitoring abnormal index. A method for determining the value of the preset monitoring difference duration index is provided. The minimum value of the monitoring abnormal duration index of the abnormal execution point in the monitoring management record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset monitoring difference duration index.

[0058] Specifically, the abnormal evaluation state includes a first preset abnormal evaluation state and a second preset abnormal evaluation state, wherein,

[0059] The abnormal execution point in the first preset abnormal evaluation state is an abnormal execution point with a regional abnormal evaluation index greater than a preset regional abnormal evaluation index.

[0060] The abnormal execution point in the second preset abnormal evaluation state is an abnormal execution point with a regional abnormal evaluation index less than or equal to a preset regional abnormal evaluation index.

[0061] The regional abnormal evaluation index is determined according to the monitoring difference duration index of each monitoring execution point.

[0062] For a single abnormal execution point, the regional abnormal evaluation index is the average value of the monitoring difference duration indexes of the monitoring execution points existing in the evaluation region range of the abnormal execution point, and the evaluation region range is a circular region with the position corresponding to the abnormal execution point as the center and the length of the reference evaluation distance as the radius. The user can set the value of the length of the reference evaluation distance according to the actual working scene. The higher the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is, the longer the length of the reference evaluation distance is. A method for determining the value of the length of the reference evaluation distance is provided. The length of the reference evaluation distance is 200 meters.

[0063] The user can determine the value of the preset regional abnormal evaluation index according to the actual working scene. For example, the user can set the value according to the monitoring management record. A method for determining the value of the preset regional abnormal evaluation index is provided. The minimum value of the regional abnormal evaluation index of the abnormal execution point in the first preset abnormal evaluation state in the monitoring management record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset regional abnormal evaluation index.

[0064] Specifically, if the abnormal execution point in the first preset abnormal evaluation state, the abnormal execution point for the stage abnormal analysis.

[0065] Wherein, for a single abnormal execution point, if the abnormal execution point is in the first preset abnormal evaluation state, indicating that the abnormal situation of the monitoring execution point in the evaluation area range of the abnormal execution point lasts longer, indicating that there are more monitoring execution points that can be used to estimate the abnormal situation of the abnormal execution point in a certain time range. Therefore, by analyzing the monitoring situation of the abnormal execution point and each abnormal execution point in its evaluation range area in a certain time range, the verification priority coefficient of the abnormal execution point is optimized to ensure the verification efficiency of the abnormal execution point.

[0066] Specifically, if the area abnormality proportion index of the abnormal execution point in the first preset abnormal evaluation state is greater than the preset area abnormality proportion index or the area continuous balance index is greater than the preset area continuous balance index, the verification priority coefficient of the abnormal execution point is increased according to the area abnormal evaluation index.

[0067] The increase value of the verification priority coefficient and the area abnormal evaluation index are in a positive correlation.

[0068] Wherein, for a single abnormal execution point in the first preset abnormal evaluation state, the area abnormality proportion index = the number of abnormal execution points in the evaluation area range of the abnormal execution point / the number of monitoring execution points in the evaluation area range of the abnormal execution point, and the area continuous balance index = the average value of the monitoring difference continuous index of each abnormal execution point in the evaluation area range of the abnormal execution point / the standard deviation of the monitoring difference continuous index of the abnormal execution point in the evaluation area range of the abnormal execution point. If the area abnormality proportion index of the abnormal execution point is greater than the preset area abnormality proportion or the area continuous balance index is greater than the preset area continuous balance index, it indicates that the probability of the abnormal execution point actually existing grounding resistance abnormality is greater, and other abnormal execution points in its evaluation area range also exist similar abnormal situation. At this time, according to the area abnormal evaluation index, the influence degree of the evaluation area range is represented, and the verification priority coefficient of the abnormal execution point is increased according to the area abnormal evaluation index, so as to improve the effectiveness of the verification arrangement made in the actual verification process.

[0069] The user can determine the values of the preset regional anomaly proportion index and the preset regional continuous balance index according to the actual working scene. For example, the user can set the values according to the monitoring management record. The higher the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is, the greater the value of the preset regional anomaly proportion index is, and the greater the value of the preset regional continuous balance index is. A monitoring management record in which the verification priority coefficient of the abnormal execution point is adjusted according to the monitoring difference continuous index for the abnormal execution point is recorded as an analysis reference record. The average value of the regional anomaly proportion index in the analysis reference record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset regional anomaly proportion index. A method for determining the value of the preset regional continuous balance index is provided. The average value of the regional continuous balance index in the analysis reference record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset regional continuous balance index.

[0070] Specifically, if the regional anomaly proportion index of the abnormal execution point in the first preset abnormal evaluation state is less than or equal to the preset regional anomaly proportion index and the regional continuous balance index is less than or equal to the preset regional continuous balance index, the verification priority coefficient of the abnormal execution point is reduced according to the point interference index.

[0071] The reduction value of the verification priority coefficient is positively correlated with the point interference index.

[0072] For a single abnormal execution point in the first preset abnormal evaluation state, if the regional anomaly proportion index of the abnormal execution point is less than or equal to the preset regional anomaly proportion index and the regional continuous balance index is less than or equal to the preset regional continuous balance index, it indicates that the proportion of the abnormal monitoring points existing in the evaluation region of the abnormal execution point is small and the difference between the monitoring difference continuous indexes of the abnormal monitoring points existing in the evaluation region of the abnormal execution point is large, thereby indicating that the monitoring situation obtained for the abnormal monitoring point is different from the monitoring situation of more monitoring execution points in the evaluation region of the abnormal monitoring point. At this time, the abnormal monitoring point and other abnormal monitoring points existing in the evaluation region of the abnormal monitoring point have different reasons for the abnormality, and the reliability of the monitoring result of the abnormal monitoring point cannot be evaluated. At this time, the degree of external interference on the abnormal situation of the abnormal execution point is evaluated to reduce the verification priority coefficient of the abnormal execution point, so as to avoid that the evaluation result of the abnormal situation of the abnormal execution point is greatly disturbed, and the execution efficiency of the actual verification process is improved.

[0073] Specifically, the setting mode of the point interference index is determined according to the regional balance proportion index of the abnormal execution point.

[0074] If the area balance proportion index of the abnormal execution point is greater than the preset area balance proportion index, the point intervention index of the abnormal execution point is determined according to the area balance proportion index;

[0075] If the area balance proportion index of the abnormal execution point is less than or equal to the preset area balance proportion index, the point intervention index of the abnormal execution point is determined according to the point jump proportion index.

[0076] Wherein, for a single abnormal execution point, the area balance proportion index = the number of balanced difference monitoring points existing in the evaluation area range of the abnormal execution point / the number of abnormal execution points existing in the evaluation area range of the abnormal execution point, the balanced difference monitoring point is a monitoring execution point with a continuous difference parameter less than or equal to a preset continuous difference parameter, for a single monitoring execution point, the continuous difference parameter is the absolute value of the difference between the monitoring difference persistence index of the monitoring execution point and the monitoring difference persistence index of the abnormal monitoring point;

[0077] The values of the preset area balance proportion index and the preset continuous difference parameter can be determined by the user according to the actual working scene, for example, the user can set according to the monitoring management record, the higher the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process, the smaller the value of the preset continuous difference parameter, a method for determining the value of the preset area balance proportion index is provided, the monitoring management record in which the point intervention index is determined according to the area balance proportion index is recorded as the intervention reference record, the minimum value of the area balance proportion index of the abnormal execution point in the intervention reference record meeting the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset area balance proportion index, a method for determining the value of the preset continuous difference parameter is provided, the average value of the continuous difference parameters corresponding to each balanced difference monitoring point in the monitoring management record meeting the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset continuous difference parameter;

[0078] For a single abnormal execution point, if the area balance proportion index of the abnormal execution point is greater than the preset area balance proportion index, it indicates that there are more monitoring execution points with similar abnormal continuous situations in the evaluation area range of the abnormal execution point, at this time, it indicates that the probability of the abnormal situation existing in the abnormal execution point caused by environmental factors is larger, the degree of influence of the abnormal execution point on the environment is represented according to the area balance proportion index, so as to adjust the verification priority coefficient, and the on-site verification of the abnormal execution point with abnormal grounding resistance is preferentially executed, the area balance proportion index is normalized, and the point intervention index and the normalized area balance proportion index are in a positive correlation.

[0079] For a single abnormal execution point, if the regional balance proportion index of the abnormal execution point is less than or equal to the preset regional balance proportion index, it indicates that there are few abnormal execution points in the evaluation area of the abnormal execution point, and the abnormal situation of the abnormal execution point is caused by environmental factors, so the abnormal evaluation parameters of the abnormal execution point are analyzed to determine whether there is a large amplitude jump, and the verification priority coefficient is adjusted to avoid the interference of the monitoring device with the verification process. The point jump proportion index = the monitoring abnormal index of the abnormal execution point determined by the current monitoring execution period - the monitoring abnormal index of the abnormal execution point determined by the previous monitoring execution period of the current monitoring execution period. The determined point jump proportion index is normalized, and the point interference index and the normalized point jump proportion index are in a positive correlation.

[0080] Specifically, if there is an abnormal execution point in the second preset abnormal evaluation state, an immediate abnormal analysis is performed on the abnormal execution point, wherein,

[0081] The stage reference abnormal index is determined according to the monitoring abnormal index of each monitoring execution period in the monitoring execution stage for the abnormal execution point.

[0082] Specifically, if the stage reference abnormal index of the abnormal execution point in the second preset abnormal evaluation state is greater than the preset stage reference abnormal index, the verification priority coefficient of the abnormal execution point is increased according to the stage reference abnormal index.

[0083] The increase value of the verification priority coefficient and the stage reference abnormal index are in a positive correlation.

[0084] For a single abnormal execution point, if the abnormal execution point is in the second preset abnormal evaluation state, it indicates that the abnormal situation of each monitoring execution point in the evaluation area range where the abnormal execution point is located lasts for a short time, indicating that there are not enough monitoring execution points for the abnormal situation existing in the abnormal execution point within a certain time range to be estimated. Therefore, the verification priority coefficient of the abnormal execution point is adjusted by analyzing the aggravation trend of the abnormal situation. For a single abnormal execution point in the second preset abnormal evaluation state, the stage reference abnormal index is the average of the abnormal range index of the abnormal execution point in the monitoring execution stage. For any two adjacent monitoring execution periods in the monitoring execution stage, the abnormal range index = the monitoring abnormal index determined by the abnormal execution point in the next monitoring execution period - the monitoring abnormal index determined by the abnormal execution point in the previous monitoring execution period. If the stage reference abnormal index of the abnormal execution point is greater than the preset stage reference abnormal index, it indicates that the abnormal degree of the abnormal execution point has increased by a large margin. Therefore, the verification priority coefficient thereof is increased to avoid further deterioration of the existing abnormal situation.

[0085] The value of the preset stage reference abnormal index can be determined by the user according to the actual working scene. For example, the user can set it according to the monitoring management record. A method for providing a value of the preset stage reference abnormal index is provided. The monitoring management record for increasing the verification priority coefficient of the abnormal execution point according to the stage reference abnormal index is recorded as the minimum value of the stage reference abnormal index in the monitoring management record of the user's abnormal monitoring quality requirement in the monitoring process of the lightning protection grounding resistance.

[0086] Specifically, if the area verification difference index of the abnormal execution point is greater than the preset area verification difference index, the verification priority coefficient of the abnormal execution point is increased according to the area balance proportion index.

[0087] The increase value of the verification priority coefficient and the area balance proportion index are in a positive correlation.

[0088] The area verification difference index of the single abnormal execution point is the average value of the absolute value of the difference between the verification priority coefficient of the abnormal execution point and the verification priority coefficient of each abnormal execution point existing in the evaluation area range of the abnormal execution point / the average value of the verification priority coefficient of each abnormal execution point existing in the evaluation area range of the abnormal execution point. If the area verification difference index of the abnormal execution point is greater than the preset area verification difference index, it indicates that the difference between the priority execution of the abnormal execution point and other abnormal execution points is large in the process of performing on-site verification. In order to ensure the effectiveness and efficiency of the on-site verification process, the verification priority coefficient is adjusted. The number of abnormal execution points that may be associated with the abnormal situation of the abnormal execution point in the evaluation area range of the abnormal execution point is represented by the area balance proportion index. By increasing the verification priority coefficient of the abnormal execution point, it can be preferentially executed on-site verification, providing a reference for the verification process of other abnormal execution points in the evaluation area range, and further improving the execution efficiency of the actual verification process.

[0089] The value of the preset area verification difference index can be determined by the user according to the actual working scene. For example, the user can set it according to the monitoring management record. The higher the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process, the smaller the value of the preset area verification difference index. A method for determining the value of the preset area verification difference index is provided. The monitoring management record in which the verification priority coefficient of the abnormal execution point is increased according to the area balance proportion index is recorded as a verification reference record. The minimum value of the area verification difference index in the verification reference record that meets the user's requirement for the abnormal monitoring quality in the lightning protection grounding resistance monitoring process is recorded as the preset area verification difference index.

[0090] So far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the drawings, but those skilled in the art will readily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to related technical features without departing from the principles of the present application, and the technical solutions after such changes or replacements will fall within the protection scope of the present application.

[0091] The above description is only the preferred embodiments of the present application and is not intended to limit the present application. Those skilled in the art can make various changes and modifications to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. An online intelligent monitoring system for lightning protection grounding, characterized in that, include: The monitoring and execution module includes several monitoring and execution devices for monitoring the resistance data at each monitoring and execution point to determine the abnormal execution point and the verification priority coefficient of each abnormal execution point. The monitoring and evaluation module, which is connected to the monitoring execution module, is used to determine the abnormal evaluation status of each abnormal execution point based on the regional abnormal evaluation index, and to determine whether to perform real-time abnormal analysis or phased abnormal analysis for each abnormal execution point based on the abnormal evaluation status. The phase anomaly analysis module is connected to the monitoring execution module and the monitoring evaluation module respectively, and is used to perform phase anomaly analysis. Based on the regional anomaly proportion index and the regional continuous balance index, it determines whether to adjust the verification priority coefficient according to the regional anomaly evaluation index or the point interference index. The real-time anomaly analysis module is connected to the monitoring execution module and the monitoring evaluation module respectively, and is used to perform real-time anomaly analysis and determine whether to adjust the verification priority coefficient for each anomaly execution point based on the stage reference anomaly index. The verification execution module is connected to both the stage anomaly analysis module and the real-time anomaly analysis module. It is used to determine whether to adjust the verification priority coefficient for each anomaly execution point based on the regional verification difference index, and to perform verification for each anomaly execution point based on the verification priority coefficient of each anomaly execution point.

2. The online intelligent monitoring system for lightning protection grounding according to claim 1, characterized in that, The abnormal execution point is the monitoring execution point where the monitoring abnormality index is greater than the preset monitoring abnormality index or the monitoring difference persistence index is greater than the preset monitoring difference persistence index. The verification priority coefficient is positively correlated with the monitoring anomaly index and the monitoring difference persistence index, respectively.

3. The online intelligent monitoring system for lightning protection grounding according to claim 1, characterized in that, The anomaly assessment states include a first preset anomaly assessment state and a second preset anomaly assessment state, wherein, An abnormal execution point in the first preset abnormal assessment state is an abnormal execution point whose regional abnormal assessment index is greater than the preset regional abnormal assessment index. An abnormal execution point in the second preset abnormal assessment state is an abnormal execution point whose regional abnormal assessment index is less than or equal to the preset regional abnormal assessment index. The regional anomaly assessment index is determined based on the monitoring difference persistence index of each monitoring point.

4. The online intelligent monitoring system for lightning protection grounding according to claim 3, characterized in that, If there is an abnormal execution point in the first preset abnormal assessment state, then a stage abnormal analysis is performed on that abnormal execution point.

5. The online intelligent monitoring system for lightning protection grounding according to claim 4, characterized in that, If the regional anomaly percentage index of an abnormal execution point in the first preset anomaly assessment state is greater than the preset regional anomaly percentage index or the regional continuous balance index is greater than the preset regional continuous balance index, then the verification priority coefficient for that abnormal execution point will be increased and adjusted according to the regional anomaly assessment index. The increase in the verification priority coefficient is positively correlated with the regional anomaly assessment index.

6. The online intelligent monitoring system for lightning protection grounding according to claim 5, characterized in that, If the regional anomaly percentage index of an abnormal execution point in the first preset anomaly assessment state is less than or equal to the preset regional anomaly percentage index and the regional continuous equilibrium index is less than or equal to the preset regional continuous equilibrium index, then the verification priority coefficient of the abnormal execution point will be reduced according to the point interference index. The decrease in the verification priority coefficient is positively correlated with the point interference index.

7. The online intelligent monitoring system for lightning protection grounding according to claim 6, characterized in that, The setting method of the point interference index is determined based on the regional balance ratio index of abnormal execution points; If the regional balance ratio index of an abnormal execution point is greater than the preset regional balance ratio index, then the point interference index of the abnormal execution point is determined based on the regional balance ratio index. If the regional balance ratio index of an abnormal execution point is less than or equal to the preset regional balance ratio index, then the point interference index of the abnormal execution point is determined based on the point jump ratio index.

8. The online intelligent monitoring system for lightning protection grounding according to claim 3, characterized in that, If an abnormal execution point exists in the second preset abnormal assessment state, then real-time abnormal analysis is performed on that abnormal execution point. The stage reference anomaly index is determined based on the monitoring anomaly index obtained for the anomaly execution point in each monitoring execution cycle within the monitoring execution stage.

9. The online intelligent monitoring system for lightning protection grounding according to claim 8, characterized in that, If the stage reference anomaly index of an abnormal execution point in the second preset anomaly assessment state is greater than the preset stage reference anomaly index, the verification priority coefficient for that abnormal execution point will be increased and adjusted according to the stage reference anomaly index. The increase in the verification priority coefficient is positively correlated with the stage reference anomaly index.

10. The online intelligent monitoring system for lightning protection grounding according to claim 1, characterized in that, If the regional verification difference index of an abnormal execution point is greater than the preset regional verification difference index, the verification priority coefficient of that abnormal execution point will be increased according to the regional balance ratio index. The increase in the verification priority coefficient is positively correlated with the regional equilibrium proportion index.

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