A remote online monitoring system for the operating status of lightning arresters

Abstract

The present invention relates to the technical field of arrester state monitoring, and in particular to a remote online monitoring system for the operating state of an arrester, comprising a remote monitoring platform, an information collection unit, a resistive analysis unit, a resistive interference unit, a state classification unit, a management demand unit and a management response unit; the present invention analyzes the health of zinc oxide inside the arrester from the perspective of resistive current, and analyzes from the perspective of the environment to understand the level of environmental interference with the operation of the arrester, and analyzes by means of information feedback and information fusion to classify the state impact of the arrester to understand the state impact level of the arrester, and at the same time analyzes in combination with the state performance of the arrester to comprehensively quantify the state risk of the arrester, and performs reasonable and targeted management according to the dynamic trend of the state risk to improve the state stability and reliability of the arrester.

Description

Technical Field

[0001] The invention relates to the technical field of arrester state monitoring, and in particular to a remote online monitoring system for the operating state of an arrester. Background Art

[0002] Zinc oxide arrester is a device used to protect power equipment. The resistance of zinc oxide arrester has nonlinear characteristics. Under normal voltage, the current flowing through the arrester is very small, while under overvoltage, the resistance of zinc oxide arrester decreases rapidly, and the energy is released quickly, which plays a role in protecting power equipment. Zinc oxide arrester has simple structure, small size, strong current carrying capacity, and is widely used in power systems.

[0003] Zinc oxide arresters may age and become damp during operation, which may increase leakage current and cause the arrester to heat up. In severe cases, the arrester may explode. Therefore, the operating status of zinc oxide arresters must be monitored. However, it is impossible to conduct a reasonable operating status risk analysis based on the health of zinc oxide inside the arrester, and it is impossible to conduct an analysis based on the degree of interference in the environment where the arrester is located, thereby reducing the management efficiency of the arrester. At the same time, it is impossible to conduct targeted management based on the dynamic trend of the arrester's status.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a remote online monitoring system for the operation status of a lightning arrester to solve the technical defects mentioned above. The present invention analyzes the health of zinc oxide inside the lightning arrester from the perspective of resistive current to understand whether there are defects or aging in the operation of zinc oxide inside the lightning arrester, and deeply analyzes the health of zinc oxide inside the lightning arrester, which helps to provide data support for subsequent analysis of the operation status of the lightning arrester. By analyzing from the perspective of the environment, the level of environmental interference with the operation of the lightning arrester can be understood. By analyzing through information feedback and information fusion, the state impact of the lightning arrester can be graded to understand the state impact level of the lightning arrester. At the same time, by combining the state performance of the lightning arrester for analysis, the state risk of the lightning arrester can be comprehensively quantified, and reasonable and targeted management can be carried out according to the dynamic trend of the state risk to improve the state stability and reliability of the lightning arrester.

[0006] The object of the present invention can be achieved by the following technical solutions: A remote online monitoring system for the operation status of a lightning arrester, comprising a remote monitoring platform, an information collection unit, a resistive analysis unit, a resistive interference unit, a state division unit, a management demand unit and a management response unit;

[0007] The information acquisition unit is used to collect the resistance data and interference data of the arrester, and send the resistance data and interference data to the resistance analysis unit and the resistance interference unit. After receiving the resistance data, the resistance analysis unit immediately performs valve plate defect supervision feedback analysis on the resistance data, compares and analyzes the obtained damage risk index, and obtains an alarm signal. When the alarm signal is generated, the varistor voltage value is collected and a health assessment analysis is performed to obtain a health risk index;

[0008] After receiving the interference data, the resistive interference unit immediately performs an operation status interference supervision division analysis on the interference data, compares and analyzes the obtained interference risk index and operation interference index, and obtains a damage impact index SS;

[0009] The state classification unit is used to perform a quantitative classification operation on the health risk index and the injury impact index SS, and to perform a matching analysis on the obtained operation state interference coefficient G to obtain a state impact level ZJ;

[0010] The management demand unit is used to collect the state performance data of the arrester, and perform operation performance supervision feedback management analysis on the state performance data, compare and analyze the obtained state risk assessment coefficient R, and obtain feedback instructions and management signals.

[0011] Preferably, the valve plate defect supervision feedback analysis process of the resistive analysis unit is as follows:

[0012] The operation time period of the arrester is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the resistive data of the arrester in each sub-time period is obtained, the resistive data represents the resistive current value curve, the fundamental frequency value and the harmonic content value are obtained from the resistive current value curve, and the fundamental frequency value and the harmonic content value are compared and analyzed with the preset fundamental frequency value threshold and the preset harmonic content value threshold recorded and stored internally. If the fundamental frequency value is greater than or equal to the preset fundamental frequency value threshold, or the harmonic content value is greater than or equal to the preset harmonic content value threshold, the sub-time period is determined to be an abnormal time period, and the ratio between the corresponding number of abnormal time periods and the total number of sub-time periods is set as the damage risk index, and the damage risk index is discriminated:

[0013] If the injury risk index is less than or equal to the preset injury risk index threshold, no instruction is generated;

[0014] If the damage risk index is greater than a threshold damage risk index threshold, an alarm signal is generated.

[0015] Preferably, when the resistive analysis unit generates an alarm signal:

[0016] The varistor voltage value of the zinc oxide valve plate inside the arrester within the time threshold is obtained, and the varistor voltage value of the zinc oxide valve plate inside the arrester within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the varistor voltage value as the Y-axis. The varistor voltage value curve is drawn by plotting points, and the changing trend value of the varistor voltage value curve is obtained, and the changing trend value of the varistor voltage value curve is set as the health risk index.

[0017] Preferably, the operation status interference supervision division analysis process of the resistive interference unit is as follows:

[0018] The arrester is taken as the center of the circle and R1 is taken as the radius. The area formed by drawing a circle around the arrester is set as the interference area. The interference data of the interference area within the time threshold is obtained. The interference data includes an interference risk index and an operation interference index. The interference risk index and the operation interference index are compared and analyzed with the preset interference risk index threshold and the preset operation interference index threshold that are recorded and stored internally:

[0019] If the interference risk index is less than the preset interference risk index threshold, and the operating interference index is less than the preset operating interference index threshold, it is judged as level one damage interference; if the interference risk index is greater than or equal to the preset interference risk index threshold, or the operating interference index is greater than or equal to the preset operating interference index threshold, it is judged as level two damage interference, and the level one damage interference and level two damage interference are set as damage impact index SS, SS=2, 4.

[0020] Preferably, the interference risk index represents the proportion of the damage duration within the operating time of the arrester, the operating time represents the time between the time the arrester is put into operation and the current time, the damage duration represents the total time corresponding to the value corresponding to the environmental parameter exceeding the preset threshold, and the environmental parameter represents the ambient humidity and the ambient temperature; the operating interference index represents the ratio of the total delay time corresponding to the number of delayed maintenance times in the total number of historical maintenance times of the arrester to the set interval maintenance time.

[0021] Preferably, the operation process of the running state impact quantification and classification of the state division unit is as follows:

[0022] The health risk index and damage impact index SS of the arrester within the time threshold are obtained, the health risk index is labeled as JF, the health risk index JF and the damage impact index SS of the arrester are substituted into the formula to obtain the operation state interference coefficient G, and the operation state interference coefficient G is compared and analyzed with the preset operation state interference coefficient range stored in the internal entry:

[0023] If the operating state interference coefficient G is greater than the maximum value in the preset operating state interference coefficient range, it is determined to be a third-level state impact; if the operating state interference coefficient G belongs to the preset operating state interference coefficient range, it is determined to be a second-level state impact; if the operating state interference coefficient G is less than the minimum value in the preset operating state interference coefficient range, it is determined to be a first-level state impact, and the first-level state impact, the second-level state impact and the third-level state impact are set as state impact levels ZJ, ZJ=1, 2, 3.

[0024] Preferably, the operational performance supervision feedback management analysis process of the management demand unit is as follows:

[0025] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the state performance data of the arrester in each sub-time period is obtained, the state performance data including the magnetic field current and the temperature deviation value, and the magnetic field current and the temperature deviation value are compared and analyzed with the preset magnetic field current threshold and the preset temperature deviation value threshold recorded and stored internally, and the sub-time period corresponding to the magnetic field current being greater than or equal to the preset magnetic field current threshold, or the temperature deviation value being greater than or equal to the preset temperature deviation value threshold is set as a risk period, and the ratio between the corresponding number of risk periods and the total number of sub-times is set as the state deviation coefficient PC;

[0026] The state risk assessment coefficient R is obtained according to the formula, and the state risk assessment coefficient R is compared and analyzed with the preset state risk assessment coefficient threshold value recorded and stored internally to obtain feedback instructions and management signals.

[0027] Preferably, when the management demand unit generates a feedback instruction, the state risk assessment coefficient R1…Rm of the arrester within the historical m time thresholds is obtained, a rectangular coordinate system is established with the number of time thresholds as the X-axis and the state risk assessment coefficient as the Y-axis, a state risk assessment coefficient curve is drawn by plotting points, and then the change trend value of the state risk assessment coefficient curve is obtained, and the change trend value of the state risk assessment coefficient curve is set as the dynamic health coefficient, and the dynamic health coefficient is compared and analyzed with the preset dynamic health coefficient threshold value recorded and stored internally:

[0028] If the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is less than 1, no instruction is generated; if the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is greater than or equal to 1, a control signal is generated;

[0029] The analysis process of the magnetic field current value is as follows: measure the magnetic field of the lightning arrester, and determine the leakage current value of the lightning arrester based on the magnetic field; the analysis process of the temperature deviation value is as follows: obtain the heating rate of the lightning arrester in each sub-time period, and then set the time corresponding to the heating rate exceeding the preset heating rate threshold as the temperature deviation value.

[0030] The beneficial effects of the present invention are as follows:

[0031] (1) The present invention analyzes the health of zinc oxide inside the arrester from the perspective of resistive current to understand whether there are defects or aging in the operation of zinc oxide inside the arrester, and deeply analyzes the health of zinc oxide inside the arrester, which helps to provide data support for the subsequent analysis of the operation status of the arrester. The present invention also analyzes from the perspective of the environment to understand the level of interference of the environment on the operation of the arrester, and analyzes through information feedback and information fusion to classify the impact of the state of the arrester to understand the level of impact of the state of the arrester;

[0032] (2) The present invention analyzes the state performance of the lightning arrester in order to comprehensively quantify the state risk of the lightning arrester, so as to manage the lightning arrester to reduce the operating risk of the lightning arrester, and at the same time help to improve the operating safety and working stability of the lightning arrester, and understand the dynamic trend risk of the operating state of the lightning arrester through curve analysis, and then perform reasonable and targeted management based on the dynamic trend of the state risk to improve the state stability and reliability of the lightning arrester. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below in conjunction with the accompanying drawings;

[0034] Figure 1 It is a flowchart of the system of the present invention;

[0035] Figure 2 This is a local analysis diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Embodiment 1:

[0038] See also Figure 1 to Figure 2As shown, the present invention is a remote online monitoring system for the operation status of a lightning arrester, comprising a remote monitoring platform, an information collection unit, a resistive analysis unit, a resistive interference unit, a state division unit, a management demand unit and a management response unit, wherein the remote monitoring platform is connected to the information collection unit in a one-way communication manner, the information collection unit is connected to the resistive analysis unit and the resistive interference unit in a one-way communication manner, the resistive analysis unit and the resistive interference unit are connected to the state division unit in a one-way communication manner, the resistive analysis unit is connected to the management response unit in a one-way communication manner, the state division unit is connected to the management demand unit in a one-way communication manner, and the management demand unit is connected to the management response unit in a one-way communication manner;

[0039] When any arrester is running based on the remote monitoring platform, a supervision instruction is generated and sent to the information acquisition unit. When the information acquisition unit receives the supervision instruction, it immediately collects the resistance data and interference data of the arrester, and sends the resistance data and interference data to the resistance analysis unit and the resistance interference unit. After receiving the resistance data, the resistance analysis unit immediately performs valve defect supervision feedback analysis on the resistance data to understand whether there are defects or aging in the operation of the zinc oxide inside the arrester, and at the same time, deeply understand the health of the zinc oxide inside the arrester, so as to provide data support for subsequent analysis. The specific valve defect supervision feedback analysis process is as follows:

[0040] The operation time period of the arrester is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the resistive data of the arrester in each sub-time period is obtained, the resistive data represents the resistive current value curve, the fundamental frequency value and the harmonic content value are obtained from the resistive current value curve, and the fundamental frequency value and the harmonic content value are compared and analyzed with the preset fundamental frequency value threshold and the preset harmonic content value threshold recorded and stored internally. If the fundamental frequency value is greater than or equal to the preset fundamental frequency value threshold, or the harmonic content value is greater than or equal to the preset harmonic content value threshold, the sub-time period is determined to be an abnormal time period, and the ratio between the corresponding number of abnormal time periods and the total number of sub-time periods is set as the damage risk index, and the damage risk index is discriminated:

[0041] If the injury risk index is less than or equal to the preset injury risk index threshold, no instruction is generated;

[0042] If the damage risk index is greater than the threshold damage risk index threshold, an alarm signal is generated and sent to the management response unit. After receiving the alarm signal, the management response unit immediately displays the preset warning text corresponding to the alarm signal, so as to manage the zinc oxide inside the arrester to reduce the risk of defects or failures of the zinc oxide inside the arrester;

[0043] In the embodiment of the present invention, the harmonic content value represents the ratio of harmonic to fundamental wave. The fundamental wave component is the main frequency component in the power system, and the harmonic content is an important indicator to measure the degree of harmonic influence in the system. Both of them jointly affect the stability and safety of the power system.

[0044] When an alarm signal is generated, the varistor voltage value of the zinc oxide valve plate inside the arrester within the time threshold is obtained, and the varistor voltage value of the zinc oxide valve plate inside the arrester within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the varistor voltage value as the Y-axis. The varistor voltage value curve is drawn by plotting points, and the change trend value of the varistor voltage value curve is obtained, and the change trend value of the varistor voltage value curve is set as the health risk index. It should be noted that the health status of the zinc oxide valve plate inside the arrester is analyzed from the perspective of varistor voltage changes, and at the same time, it helps to provide data support for subsequent analysis of the operating status of the arrester.

[0045] Embodiment 2:

[0046] After receiving the interference data, the resistive interference unit immediately performs an operation status interference supervision division analysis on the interference data to understand the operating interference level of the environment on the arrester, so as to accurately analyze the operating status of the arrester. The specific operation status interference supervision division analysis process is as follows:

[0047] The arrester is taken as the center of the circle and R1 is the radius. The area formed by drawing a circle around the arrester is set as the interference area. The interference data of the interference area within the time threshold is obtained. The interference data includes an interference risk index and an operation interference index. The interference risk index indicates the proportion of the damage duration within the operation duration of the arrester. The operation duration indicates the duration from the time the arrester is put into operation to the current time. The damage duration indicates the total duration corresponding to the value corresponding to the environmental parameter exceeding the preset threshold. The environmental parameter indicates the environmental humidity, ambient temperature, etc. It should be noted that the interference risk situation of the arrester is analyzed from the perspective of the environment;

[0048] The operation interference index of the lightning arrester within the time threshold is obtained. The operation interference index represents the ratio between the total delay time corresponding to the number of delayed maintenance times in the total number of historical maintenance times of the lightning arrester and the set interval maintenance time. It should be noted that the larger the value of the operation interference index, the greater the potential damage risk;

[0049] Compare and analyze the interference risk index and the operation interference index with the preset interference risk index threshold and the preset operation interference index threshold that are stored internally:

[0050] If the interference risk index is less than the preset interference risk index threshold, and the operation interference index is less than the preset operation interference index threshold, it is determined to be a first-level damage interference;

[0051] If the interference risk index is greater than or equal to the preset interference risk index threshold, or the operation interference index is greater than or equal to the preset operation interference index threshold, it is determined to be a second-level damage interference, wherein the damage interference risks corresponding to the first-level damage interference and the second-level damage interference increase in sequence, and the first-level damage interference and the second-level damage interference are set as the damage impact index SS, SS=2, 4, that is, when the damage impact index SS=2, it indicates a first-level damage interference, and when the damage impact index SS=4, it indicates a second-level damage interference;

[0052] The state classification unit is used to perform a quantitative classification operation on the health risk index and the damage impact index SS, so as to analyze from two points of the environment and the zinc oxide health state, so as to classify the state impact of the arrester, so as to understand the state impact level of the arrester. The specific operation process of the quantitative classification of the operation state impact is as follows:

[0053] The health risk index and damage impact index SS of the arrester within the time threshold are obtained, and the health risk index is labeled as JF. The health risk index JF and the damage impact index SS of the arrester are substituted into the formula G=(JF×a1+SS×a2)×a3 to obtain the operation state interference coefficient, wherein a1 and a2 are respectively the preset proportional factor coefficients of the health risk index JF and the damage impact index SS, and the proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, G is the operation state interference coefficient, and the operation state interference coefficient G is compared and analyzed with the preset operation state interference coefficient range stored in the internal entry:

[0054] If the operating state interference coefficient G is greater than the maximum value in the preset operating state interference coefficient range, it is determined to be a third-level state impact;

[0055] If the operating state interference coefficient G falls within the preset operating state interference coefficient range, it is determined to be a secondary state impact;

[0056] If the operating state interference coefficient G is less than the minimum value in the preset operating state interference coefficient range, it is determined to be a first-level state influence, wherein the corresponding influence degrees of the first-level state influence, the second-level state influence and the third-level state influence increase in turn, and the first-level state influence, the second-level state influence and the third-level state influence are set to state influence levels ZJ, ZJ=1, 2, 3, that is, when the state influence level ZJ=1, it indicates a first-level state influence, when the state influence level ZJ=2, it indicates a second-level state influence, and when the state influence level ZJ=3, it indicates a third-level state influence.

[0057] Embodiment three:

[0058] The management demand unit is used to collect the state performance data of the arrester and perform operation performance supervision feedback management analysis on the state performance data, so as to rationalize the management of the arrester to reduce the operation risk of the arrester and help improve the operation safety and working stability of the arrester. The specific operation performance supervision feedback management analysis process is as follows:

[0059] The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the state performance data of the lightning arrester in each sub-time period is obtained, the state performance data including the magnetic field current and the temperature deviation value, and the magnetic field current and the temperature deviation value are compared and analyzed with the preset magnetic field current threshold and the preset temperature deviation value threshold recorded and stored internally, and the sub-time period corresponding to the magnetic field current being greater than or equal to the preset magnetic field current threshold, or the temperature deviation value being greater than or equal to the preset temperature deviation value threshold is set as a risk period, and the ratio between the corresponding number of risk periods and the total number of sub-times is set as the state deviation coefficient PC. It should be noted that the larger the value of the state deviation coefficient PC, the greater the risk of abnormal state of the lightning arrester;

[0060] According to the formula The state risk assessment coefficient is obtained, where f1 and f2 are the preset weight factor coefficients of the state impact level ZJ and the state deviation coefficient PC respectively, f3 is the preset fault tolerance factor coefficient, f1, f2 and f3 are all greater than zero, R is the state risk assessment coefficient, and the state risk assessment coefficient R is compared and analyzed with the preset state risk assessment coefficient threshold value stored in the internal input:

[0061] If the ratio between the state risk assessment coefficient R and the preset state risk assessment coefficient threshold is less than 1, a feedback instruction is generated;

[0062] If the ratio between the state risk assessment coefficient R and the preset state risk assessment coefficient threshold is greater than or equal to 1, a management signal is generated and sent to the management response unit. After receiving the management signal, the management response unit immediately displays the preset warning text corresponding to the management signal, so as to manage the arrester to reduce the operation risk of the arrester, and at the same time help to improve the operation safety and working stability of the arrester;

[0063] When a feedback instruction is generated, the state risk assessment coefficients R1…Rm of the arrester within the historical m time thresholds are obtained, a rectangular coordinate system is established with the number of time thresholds as the X-axis and the state risk assessment coefficient as the Y-axis, and a state risk assessment coefficient curve is drawn by plotting points, thereby obtaining the change trend value of the state risk assessment coefficient curve, and setting the change trend value of the state risk assessment coefficient curve as the dynamic health coefficient, and comparing and analyzing the dynamic health coefficient with the preset dynamic health coefficient threshold value stored in the internal input:

[0064] If the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is less than 1, no instruction is generated;

[0065] If the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is greater than or equal to 1, a control signal is generated and sent to the management response unit. After receiving the control signal, the management response unit immediately displays the preset warning text corresponding to the control signal, so as to manage and adjust the arrester, and then perform reasonable and targeted management according to the dynamic trend of the state risk, so as to improve the state stability and reliability of the arrester;

[0066] In the embodiment of the present invention, the analysis process of the magnetic field current value is as follows: measuring the magnetic field of the arrester, and determining the leakage current value of the arrester according to the magnetic field. It should be noted that the operating state of the arrester is analyzed from the perspective of the leakage current;

[0067] In the embodiment of the present invention, the analysis process of the temperature deviation value is as follows: the temperature rise rate of the arrester in each sub-time period is obtained, and then the time length corresponding to the temperature rise rate exceeding the preset temperature rise rate threshold is set as the temperature deviation value. It should be noted that the operating state of the arrester is analyzed from the perspective of temperature;

[0068] In summary, the present invention analyzes the health of zinc oxide inside the arrester from the perspective of resistive current to understand whether there are defects or aging in the operation of zinc oxide inside the arrester, and deeply analyzes the health of zinc oxide inside the arrester, which helps to provide data support for the subsequent analysis of the operation status of the arrester, and analyzes from the perspective of the environment to understand the level of interference of the environment on the operation of the arrester, and analyzes through information feedback and information fusion to classify the state impact of the arrester to understand the state impact level of the arrester, and analyzes in combination with the state performance of the arrester to comprehensively quantify the state risk of the arrester, so as to manage the arrester to reduce the operation risk of the arrester, and helps to improve the operation safety and working stability of the arrester, and understands the dynamic trend risk of the operation status of the arrester through curve analysis, and then performs reasonable and targeted management according to the dynamic trend of the state risk to improve the state stability and reliability of the arrester.

[0069] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0070] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A remote online monitoring system for the operating status of a lightning arrester, characterized in that: It includes a remote monitoring platform, an information collection unit, a resistive analysis unit, a resistive interference unit, a state division unit, a management demand unit and a management response unit; The information acquisition unit is used to collect the resistance data and interference data of the arrester, and send the resistance data and interference data to the resistance analysis unit and the resistance interference unit. After receiving the resistance data, the resistance analysis unit immediately performs valve plate defect supervision feedback analysis on the resistance data, compares and analyzes the obtained damage risk index, and obtains an alarm signal. When the alarm signal is generated, the varistor voltage value is collected and a health assessment analysis is performed; wherein, a change trend value of the varistor voltage value curve is obtained, and the change trend value of the varistor voltage value curve is set as a health risk index; After receiving the interference data, the resistive interference unit immediately performs an operation status interference supervision division analysis on the interference data, compares and analyzes the obtained interference risk index and operation interference index, and obtains the damage impact index SS; wherein the interference risk index represents the proportion of the damage duration in the operation duration of the arrester, and the operation interference index represents the ratio between the total delay duration corresponding to the number of delayed maintenance in the total number of historical maintenance of the arrester and the set interval maintenance duration; if the interference risk index is less than the preset interference risk index threshold, and the operation interference index is less than the preset operation interference index threshold, it is determined to be a first-level damage interference; if the interference risk index is greater than or equal to the preset interference risk index threshold, or the operation interference index is greater than or equal to the preset operation interference index threshold, it is determined to be a second-level damage interference, and the first-level damage interference and the second-level damage interference are set as the damage impact index SS, SS=2, 4; The state classification unit is used to perform a quantitative classification operation on the health risk index and the damage impact index SS of the operating state, and to perform a matching analysis on the obtained operating state interference coefficient G to obtain the state impact level ZJ; wherein the health risk index JF and the damage impact index SS of the arrester are substituted into the formula The operation state interference coefficient G is obtained, wherein a1 and a2 are respectively the preset proportional factor coefficients of the health risk index JF and the injury impact index SS, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, and the operation state interference coefficient G is compared and analyzed with the preset operation state interference coefficient range stored in the internal input; The management demand unit is used to collect the state performance data of the arrester, and perform operation performance supervision feedback management analysis on the state performance data, compare and analyze the obtained state risk assessment coefficient R, and obtain feedback instructions and management signals.

2. A lightning arrester operating status remote online monitoring system according to claim 1, characterized in that: The valve plate defect supervision feedback analysis process of the resistive analysis unit is as follows: The arrester operation time period is collected and set as the time threshold, the time threshold is divided into i sub-time periods, i is a natural number greater than zero, the resistive data of the arrester in each sub-time period is obtained, the resistive data represents the resistive current value curve, the fundamental frequency value and the harmonic content value are obtained from the resistive current value curve, and the fundamental frequency value and the harmonic content value are compared and analyzed with the preset fundamental frequency value threshold and the preset harmonic content value threshold stored in the internal input, if the fundamental frequency value is greater than or equal to the preset fundamental frequency value threshold, or the harmonic content value is greater than or equal to the preset harmonic content value threshold, then the sub-time period is determined to be an abnormal time period, and the ratio between the corresponding number of abnormal time periods and the total number of sub-time periods is set as the damage risk index, and the damage risk index is discriminated: If the injury risk index is less than or equal to the preset injury risk index threshold, no instruction is generated; If the damage risk index is greater than a threshold damage risk index threshold, an alarm signal is generated.

3. A remote online monitoring system for the operation status of a lightning arrester according to claim 2, characterized in that: When the resistive analysis unit generates an alarm signal: The varistor voltage value of the zinc oxide valve plate inside the arrester within the time threshold is obtained, and the varistor voltage value of the zinc oxide valve plate inside the arrester within the historical m time thresholds is obtained, where m is a natural number greater than zero. A rectangular coordinate system is established with the number of time thresholds as the X-axis and the varistor voltage value as the Y-axis, and the varistor voltage value curve is drawn by plotting points.

4. A lightning arrester operating status remote online monitoring system according to claim 1, characterized in that: The operation status interference supervision division analysis process of the resistive interference unit is as follows: The arrester is taken as the center of the circle and R1 is the radius. The area formed by drawing a circle around the arrester is set as the interference area, and the interference data of the interference area within the time threshold is obtained. The interference data includes an interference risk index and an operation interference index. The interference risk index and the operation interference index are compared and analyzed with the preset interference risk index threshold and the preset operation interference index threshold entered and stored internally.

5. A lightning arrester operating status remote online monitoring system according to claim 4, characterized in that: The operation time indicates the time from the time when the arrester is put into operation to the current time, and the damage time indicates the total time corresponding to the value corresponding to the environmental parameter exceeding the preset threshold value, and the environmental parameter indicates the environmental humidity and the environmental temperature.

6. A lightning arrester operating status remote online monitoring system according to claim 1, characterized in that: The operation process of the running state impact quantification and classification of the state division unit is as follows: The health risk index and damage impact index SS of the arrester within the time threshold are obtained, the health risk index is labeled as JF, the health risk index JF and the damage impact index SS of the arrester are substituted into the formula to obtain the operation state interference coefficient G, and the operation state interference coefficient G is compared and analyzed with the preset operation state interference coefficient range stored in the internal entry: If the operating state interference coefficient G is greater than the maximum value in the preset operating state interference coefficient range, it is determined to be a third-level state impact; If the operating state interference coefficient G belongs to the preset operating state interference coefficient range, it is judged as a secondary state impact. If the operating state interference coefficient G is less than the minimum value in the preset operating state interference coefficient range, it is judged as a primary state impact. The primary state impact, the secondary state impact and the tertiary state impact are set as state impact levels ZJ, ZJ=1, 2, 3.

7. A lightning arrester operating status remote online monitoring system according to claim 1, characterized in that: The operational performance supervision feedback management analysis process of the management demand unit is as follows: The time threshold is divided into i sub-time periods, where i is a natural number greater than zero, and the state performance data of the arrester in each sub-time period is obtained, the state performance data including the magnetic field current and the temperature deviation value, and the magnetic field current and the temperature deviation value are compared and analyzed with the preset magnetic field current threshold and the preset temperature deviation value threshold recorded and stored internally, and the sub-time period corresponding to the magnetic field current being greater than or equal to the preset magnetic field current threshold, or the temperature deviation value being greater than or equal to the preset temperature deviation value threshold is set as a risk period, and the ratio between the corresponding number of risk periods and the total number of sub-times is set as the state deviation coefficient PC; The state risk assessment coefficient R is obtained according to the formula, and the state risk assessment coefficient R is compared and analyzed with the preset state risk assessment coefficient threshold value recorded and stored internally to obtain feedback instructions and management signals.

8. A lightning arrester operating status remote online monitoring system according to claim 7, characterized in that: When the management demand unit generates a feedback instruction, the state risk assessment coefficient R1…Rm of the arrester within the historical m time thresholds is obtained, a rectangular coordinate system is established with the number of time thresholds as the X-axis and the state risk assessment coefficient as the Y-axis, and a state risk assessment coefficient curve is drawn by plotting points, and then the change trend value of the state risk assessment coefficient curve is obtained, and the change trend value of the state risk assessment coefficient curve is set as the dynamic health coefficient, and the dynamic health coefficient is compared and analyzed with the preset dynamic health coefficient threshold value stored in the internal entry: If the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is less than 1, no instruction is generated; if the ratio between the dynamic health coefficient and the preset dynamic health coefficient threshold is greater than or equal to 1, a control signal is generated; The analysis process of the magnetic field current value is as follows: measure the magnetic field of the lightning arrester, and determine the leakage current value of the lightning arrester based on the magnetic field; the analysis process of the temperature deviation value is as follows: obtain the heating rate of the lightning arrester in each sub-time period, and then set the time corresponding to the heating rate exceeding the preset heating rate threshold as the temperature deviation value.

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