An intelligent monitoring system for zinc oxide lightning arresters based on power Internet of Things

Abstract

The present invention belongs to the field of arrester monitoring technology, and specifically relates to an intelligent monitoring system for zinc oxide arresters based on the power Internet of Things, including a zinc oxide arrester operating state acquisition module, a zinc oxide arrester defect degree acquisition module, and a zinc oxide arrester life evaluation module; the zinc oxide arrester operating state acquisition module is used to determine whether the zinc oxide arrester has potential risks within a monitoring cycle; the zinc oxide arrester defect acquisition module determines the degree of defects of the zinc oxide arrester based on zinc oxide arrester defect data; the zinc oxide arrester life evaluation module is used to obtain zinc oxide arrester remaining life matching data when the degree of defects of the zinc oxide arrester is judged to be serious, and obtain the zinc oxide arrester remaining life based on the zinc oxide arrester remaining life matching data. The present invention can accurately determine the operating state, lightning strike impact and defect degree of the arrester, and realize early warning of arrester damage and explosion accidents.

Description

Technical Field

[0001] The present invention belongs to the technical field of lightning arrester monitoring, and in particular relates to an intelligent monitoring system for zinc oxide lightning arresters based on electric power Internet of Things. Background Art

[0002] In the field of bioenergy, zinc oxide arresters are used as a key power device to protect equipment in bioenergy conversion and storage systems from lightning strikes or overvoltage damage. Zinc oxide arresters use their nonlinear resistance characteristics to provide a conductive path when lightning strikes or voltage is too high, directing overvoltage into the ground, thereby protecting equipment from damage. The core part of the zinc oxide arrester is zinc oxide (ZnO) material, which can show a significant resistance reduction effect under high voltage. Due to its high efficiency, low loss and durability, zinc oxide arresters play an important role in overvoltage protection of bioenergy systems, especially in biomass power generation, biofuel production and related power transmission lines and distribution networks.

[0003] At present, zinc oxide arresters mostly rely on traditional detection methods, and the acquisition of monitoring data usually relies on regular on-site inspections, which not only relies on manual operation and is inefficient, but also easily misses some minor defects or abnormalities. This inefficient monitoring method may cause bioenergy facilities to suffer damage in lightning or overvoltage events, affecting the continuity and safety of energy production. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides an intelligent monitoring system for zinc oxide lightning arresters based on the electric power Internet of Things, which can accurately judge the operating status, lightning impact and defect degree of the lightning arrester, and realize early warning of lightning arrester damage and explosion accidents.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent monitoring system for zinc oxide lightning arresters based on the power Internet of Things, comprising: a zinc oxide lightning arrester operating status acquisition module, a zinc oxide lightning arrester defect degree acquisition module, and a zinc oxide lightning arrester life assessment module;

[0006] The zinc oxide lightning arrester operation status acquisition module is used to determine whether the zinc oxide lightning arrester has potential risks within a monitoring cycle. If it is determined that there is no potential risk, it is used to determine whether the zinc oxide lightning arrester has potential risks in the next monitoring cycle. If there is a potential risk, it is determined whether the zinc oxide lightning arrester has defects.

[0007] The zinc oxide lightning arrester defect acquisition module is used to obtain zinc oxide lightning arrester defect data when there is a risk in the zinc oxide lightning arrester, and judge the degree of the defect of the zinc oxide lightning arrester based on the zinc oxide lightning arrester defect data;

[0008] The zinc oxide lightning arrester life assessment module is used to obtain the zinc oxide lightning arrester remaining life matching data when it is judged that the defect degree of the zinc oxide lightning arrester is serious, and obtain the zinc oxide lightning arrester remaining life based on the zinc oxide lightning arrester remaining life matching data.

[0009] Preferably, determining whether a zinc oxide lightning arrester has a potential risk within a monitoring cycle includes the following steps:

[0010] Obtain the operating status data of the zinc oxide lightning arrester, and determine whether the zinc oxide lightning arrester has potential operating risks based on the operating status data of the zinc oxide lightning arrester:

[0011] If there is a potential risk in the operating status, it is judged that there is a potential risk;

[0012] If there is no potential risk in the operating state, obtain the lightning strike data and determine whether the zinc oxide lightning arrester has a potential risk of lightning strike based on the lightning strike data:

[0013] If there is a potential risk of lightning strike, it is judged that there is a potential risk;

[0014] If there is no potential risk of lightning strike, it is determined that there is no potential risk.

[0015] Preferably, based on the zinc oxide lightning arrester operating status data, it is determined whether the zinc oxide lightning arrester has a potential operating risk, and the specific analysis process is as follows:

[0016] Obtain the parameterized operating status data of zinc oxide lightning arrester, including parameterized leakage current, parameterized operating voltage and parameterized power loss;

[0017] Obtain the allowable deviation value of the zinc oxide arrester operating state, including the allowable deviation value of leakage current, the allowable deviation value of operating voltage and the allowable deviation value of power loss;

[0018] Determine the zinc oxide lightning arrester operating state assessment value based on the zinc oxide lightning arrester operating state data, the zinc oxide lightning arrester parameter operating state data and the zinc oxide lightning arrester operating state allowable deviation value, the zinc oxide lightning arrester operating state data including leakage current, operating voltage and power loss;

[0019] Compare the zinc oxide lightning arrester operation status assessment value with the zinc oxide lightning arrester operation status assessment threshold stored in the database to determine whether the zinc oxide lightning arrester operation status assessment value is greater than the zinc oxide lightning arrester operation status assessment threshold stored in the database;

[0020] If the zinc oxide arrester operating status assessment value is greater than the zinc oxide arrester operating status assessment threshold stored in the database, it is determined that the zinc oxide arrester is at risk;

[0021] If the zinc oxide lightning arrester operating status assessment value is not greater than the zinc oxide lightning arrester operating status assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester does not have any risk.

[0022] Preferably, the allowable deviation value of the zinc oxide arrester operating state is obtained, and the specific analysis process is as follows:

[0023] Obtain external environment temperature and grid load fluctuations, and combine and mark them as the impact data of zinc oxide lightning arrester operation state deviation;

[0024] Acquire an operation state deviation impact data set stored in a database, the operation state deviation impact data set including a plurality of operation state deviation impact matching data, the operation state deviation impact matching data including an external environment temperature matching value and a power grid load fluctuation matching value;

[0025] Compare the zinc oxide arrester operation state deviation impact data with each operation state deviation impact matching data stored in the database one by one to determine the minimum operation state comparison value;

[0026] The closest running state deviation impact matching data is determined based on the minimum running state comparison value, and the zinc oxide arrester running state allowable deviation value corresponding to the closest zinc oxide arrester running state deviation impact data is obtained from the database.

[0027] Preferably, the calculation formula of the zinc oxide arrester operating status evaluation value is:

[0028] ;

[0029] In the formula, ZA is the operating status assessment value of the zinc oxide lightning arrester, sQ is the leakage current, and cQ is the parameter leakage current. is the allowable deviation value of leakage current, sW is the working voltage, cW is the parameter working voltage, is the allowable deviation of the working voltage, sE is the power loss, cE is the parameter power loss, is the allowable deviation value of power loss.

[0030] Preferably, whether the zinc oxide lightning arrester has a potential risk of lightning strike is determined based on the lightning strike data, and the specific analysis process is as follows:

[0031] Obtain lightning parameter data, including parameterized lightning current duration, parameterized leakage current and parameterized lightning current peak value;

[0032] Determine a lightning strike assessment value based on lightning strike data and lightning strike parameter data, wherein the lightning strike data includes lightning strike current duration, leakage current and lightning strike current peak value;

[0033] Determine whether the lightning strike assessment value is greater than the lightning strike assessment threshold stored in the database;

[0034] If the lightning strike assessment value is judged to be greater than the lightning strike assessment threshold stored in the database, it is judged that the zinc oxide lightning arrester has a risk;

[0035] If it is determined that the lightning strike assessment value is not greater than the lightning strike assessment threshold value stored in the database, it is determined that the zinc oxide lightning arrester does not pose a risk.

[0036] Preferably, the calculation formula of the lightning strike assessment value is:

[0037] ;

[0038] In the formula, ZB is the lightning rating value, sD is the current duration, and cD is the parameter current duration. is the weight factor of sD, sF is the peak value of lightning current, cF is the peak value of parameterized lightning current, is the weight factor of sF, sG is the leakage current, cG is the parameterized leakage current, is the weight factor of sG.

[0039] Preferably, the defect degree of the zinc oxide lightning arrester is determined based on the zinc oxide lightning arrester defect data, and the specific analysis process is:

[0040] Obtain the specified defect data of zinc oxide arresters, including the specified external crack growth rate, the specified surface discharge mark ratio and the specified material aging rate;

[0041] Determine the zinc oxide arrester defect assessment value based on the zinc oxide arrester defect data and the zinc oxide arrester parameter defect data. The zinc oxide arrester defect data includes the external crack growth rate, the surface discharge mark ratio and the material aging rate.

[0042] Determine whether the zinc oxide lightning arrester defect assessment value is greater than the zinc oxide lightning arrester defect assessment threshold stored in the database;

[0043] If the zinc oxide arrester defect assessment value is greater than the zinc oxide arrester defect assessment threshold stored in the database, it is judged that the zinc oxide arrester defect is serious;

[0044] If the zinc oxide lightning arrester defect assessment value is not greater than the zinc oxide lightning arrester defect assessment threshold stored in the database, it is judged that the zinc oxide lightning arrester defect is not serious.

[0045] Preferably, the calculation formula of the zinc oxide arrester defect assessment value is:

[0046] ;

[0047] In the formula, ZC is the defect assessment value of zinc oxide lightning arrester, sZ is the external crack growth rate, cZ is the parameter external crack growth rate, sX is the material aging rate, cX is the parameter material aging rate, sV is the proportion of surface discharge marks, and cV is the proportion of parameter surface discharge marks.

[0048] Preferably, the remaining life of the zinc oxide lightning arrester is obtained based on the matching data of the remaining life of the zinc oxide lightning arrester, and the specific analysis process is:

[0049] Obtain the remaining life pointing data of each zinc oxide lightning arrester stored in the database, each remaining life pointing data of the zinc oxide lightning arrester corresponds to a remaining life, and the remaining life matching data of the zinc oxide lightning arrester includes a matching value of the cumulative number of lightning strikes and a matching value of the degree of mechanical damage;

[0050] Compare the zinc oxide arrester remaining life matching data with the remaining life pointing data of each zinc oxide arrester one by one to determine the minimum remaining life comparison value;

[0051] The closest zinc oxide arrester remaining life pointing data is determined based on the minimum remaining life comparison value, and the zinc oxide arrester remaining life corresponding to the closest zinc oxide arrester remaining life pointing data is obtained from a database.

[0052] The present invention has the following beneficial effects:

[0053] The present invention can accurately determine the operating status, lightning impact and defect degree of the arrester by real-time monitoring of the multi-parameter status of the zinc oxide arrester, and realize early warning of arrester damage and explosion accidents, thereby significantly improving the safety and reliability of the power system (especially the power system in the bioenergy field), reducing equipment damage caused by lightning strikes or overvoltage, and ensuring the continuity and efficiency of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the modules of the present invention. DETAILED DESCRIPTION

[0055] The embodiments of the present invention are further described below in conjunction with the accompanying drawings:

[0056] like Figure 1 As shown, an intelligent monitoring system for zinc oxide lightning arresters based on the power Internet of Things includes a zinc oxide lightning arrester operation status acquisition module, a zinc oxide lightning arrester defect degree acquisition module, and a zinc oxide lightning arrester life assessment module.

[0057] The zinc oxide lightning arrester operation status acquisition module is used to determine whether the zinc oxide lightning arrester has potential risks within a monitoring cycle: obtain the zinc oxide lightning arrester operation status data, obtain the zinc oxide lightning arrester parameter operation status data, the zinc oxide lightning arrester parameter operation status data includes the parameter leakage current, the parameter working voltage and the parameter power loss; obtain the zinc oxide lightning arrester operation status allowable deviation value, including the leakage current allowable deviation value, the working voltage allowable deviation value and the power loss allowable deviation value;

[0058] The operating status assessment value of the zinc oxide lightning arrester is determined based on the operating status data of the zinc oxide lightning arrester, the parameter operating status data of the zinc oxide lightning arrester and the allowable deviation value of the operating status of the zinc oxide lightning arrester. The operating status data of the zinc oxide lightning arrester includes leakage current, operating voltage and power loss.

[0059] Leakage current refers to the current leakage caused by incomplete insulation or contamination on the surface of the zinc oxide arrester when the arrester is working. Too low or too high leakage current indicates that the equipment is abnormal and there is a potential risk of failure. The arrester is tested by a current sensor to monitor the change of leakage current. The working voltage is the voltage that the zinc oxide arrester withstands under normal working conditions. By monitoring the working voltage, it can be determined whether the arrester is in the normal working range. When the voltage is too high, it is easy to cause the arrester to break down or fail; when the voltage is too low, it is easy to cause the arrester's protection ability to be unable to fully play. Power loss refers to the energy consumed by the zinc oxide arrester during operation due to electrical characteristics and the resistance of internal materials. Excessive power loss can easily cause the zinc oxide arrester to overheat and degrade in performance. Too low power loss means that the load of the equipment is too light and the performance cannot be fully exerted.

[0060] The zinc oxide arrester operating status assessment value is compared with the zinc oxide arrester operating status assessment threshold stored in the database. The operating status assessment threshold can be obtained through long-term operation data collection and analysis, and a safety threshold is set using statistical methods such as mean and standard deviation. If the zinc oxide arrester operating status assessment value is greater than the zinc oxide arrester operating status assessment threshold stored in the database, it is judged that the zinc oxide arrester is at risk. If the zinc oxide arrester operating status assessment value is not greater than the zinc oxide arrester operating status assessment threshold stored in the database, it is judged that the zinc oxide arrester is not at risk.

[0061] The calculation formula for the operating status assessment value of zinc oxide lightning arrester is:

[0062] ;

[0063] In the formula, ZA is the operating status assessment value of the zinc oxide lightning arrester, sQ is the leakage current, and cQ is the parameter leakage current. is the allowable deviation value of leakage current, sW is the working voltage, cW is the parameter working voltage, is the allowable deviation of the working voltage, sE is the power loss, cE is the parameter power loss, is the allowable deviation value of power loss. ln represents the logarithm with e as the base.

[0064] The formula calculates the error between each parameter and its reference value, and divides these errors by the respective allowable deviation values. The ratio of error to allowable deviation represents the relative size of each parameter deviation. Each difference in the formula uses an absolute value, indicating that whether the parameter is above or below its reference value, it is considered a positive deviation, ensuring that all deviations have a positive impact on the evaluation value. The smaller the ZA, the smaller the deviation of each parameter, and the larger the ZA, the larger the deviation of each parameter.

[0065] Obtaining the allowable deviation value of the zinc oxide lightning arrester operating state: obtaining the external ambient temperature and grid load fluctuations, and combining and marking them as zinc oxide lightning arrester operating state deviation influence data; obtaining an operating state deviation influence data set stored in a database, including multiple operating state deviation influence matching data, the operating state deviation influence matching data including an external ambient temperature matching value and a grid load fluctuation matching value; comparing the zinc oxide lightning arrester operating state deviation influence data with each operating state deviation influence matching data stored in the database one by one to determine the minimum operating state comparison value; determining the closest operating state deviation influence matching data based on the minimum operating state comparison value, and obtaining the zinc oxide lightning arrester operating state allowable deviation value corresponding to the closest zinc oxide lightning arrester operating state deviation influence data from the database.

[0066] The external ambient temperature will affect the performance of the zinc oxide arrester. Too high or too low temperature will increase the leakage current and affect the resistance characteristics of the zinc oxide arrester, resulting in changes in power loss. Grid load fluctuations will lead to voltage instability. Grid load fluctuations monitor the real-time current and voltage fluctuations of the grid through current sensors and voltage sensors, and obtain grid load fluctuation data by calculating the fluctuation degree of grid current and voltage.

[0067] The database stores multiple operation state deviation impact matching data. The similarity between the operation state deviation impact data of the zinc oxide arrester and the operation state deviation impact matching data recorded in the database is compared to find the best matching record. The smallest operation state comparison value represents the data with the closest matching degree to a certain record in the database. Thus, the operation state deviation impact matching data corresponding to the comparison value is determined, and the operation state allowable deviation of the zinc oxide arrester under the current conditions can be obtained through the zinc oxide arrester operation state allowable deviation value associated with the closest operation state deviation impact matching data in the database.

[0068] The calculation formula of the running status comparison value is:

[0069] ;

[0070] Where ZP is the operating status comparison value, sT is the external ambient temperature, cT is the external ambient temperature matching value, sU is the grid load fluctuation, and cU is the grid load fluctuation matching value.

[0071] If there is no potential risk in the operating status, the lightning strike data is obtained, and based on the lightning strike data, it is determined whether the zinc oxide lightning arrester has a potential risk of lightning strike: lightning strike parameter data is obtained, including parameterized lightning strike current duration, parameterized leakage current and parameterized lightning strike current peak value; a lightning strike assessment value is determined based on the lightning strike data and the lightning strike parameter data, the lightning strike data including lightning strike current duration, leakage current and lightning strike current peak value; it is determined whether the lightning strike assessment value is greater than the lightning strike assessment threshold stored in the database; if it is determined that the lightning strike assessment value is greater than the lightning strike assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester has a risk; if it is determined that the lightning strike assessment value is not greater than the lightning strike assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester does not have a risk.

[0072] The lightning current duration refers to the time from the beginning to the end of the lightning current during the lightning strike. A longer duration indicates that the lightning arrester is exposed to the lightning current for a long time, which is likely to cause insulation damage. The lightning current duration is obtained by measuring the waveform of the lightning current through a current sensor, such as a Hall sensor, and monitoring the time period of current flow.

[0073] The leakage current here refers to the leakage current during lightning strike. The peak value of lightning current refers to the moment of maximum current value in the lightning current waveform. The larger the peak value of lightning current, the greater the energy brought by lightning strike, and the stronger the impact on the arrester. The peak value of lightning current is detected by current sensors, such as optical fiber sensors and instantaneous current sensors.

[0074] The calculation formula for lightning strike rating is:

[0075] ;

[0076] In the formula, ZB is the lightning rating value, sD is the current duration, and cD is the parameter current duration. is the weight factor of sD, sF is the peak value of lightning current, cF is the peak value of parameterized lightning current, is the weight factor of sF, sG is the leakage current, cG is the parameterized leakage current, is the weight factor of sG.

[0077] It indicates the deviation of the rated current duration relative to the actual current duration. The smaller the ratio is, the longer the current duration the zinc oxide arrester is subjected to than the rated current duration, which increases the risk. It indicates the deviation of the peak value of the set lightning current relative to the peak value of the actual lightning current. The higher the peak value of the lightning current, the greater the destructive effect on the arrester. Indicates the deviation between the actual leakage current and the reference leakage current. An increase in leakage current indicates a decrease in the arrester function, which in turn increases the risk. The larger the lightning strike rating value, the higher the risk of the arrester in the event of a lightning strike. The contribution of each parameter to the rating value can be adjusted through the weight factor.

[0078] If there is no lightning strike data within a monitoring period, it is sufficient to determine whether the zinc oxide lightning arrester has potential risks based only on the zinc oxide lightning arrester operating status data.

[0079] The zinc oxide arrester defect acquisition module is used to obtain zinc oxide arrester defect data when there is a risk in the zinc oxide arrester, and judge the defect degree of the zinc oxide arrester based on the zinc oxide arrester defect data; obtain the zinc oxide arrester parameter defect data, including the parameter external crack growth rate, the parameter surface discharge mark ratio and the parameter material aging rate; determine the zinc oxide arrester defect assessment value based on the zinc oxide arrester defect data and the zinc oxide arrester parameter defect data, and the zinc oxide arrester defect data includes the external crack growth rate, the surface discharge mark ratio and the material aging rate;

[0080] Determine whether the zinc oxide lightning arrester defect assessment value is greater than the zinc oxide lightning arrester defect assessment threshold stored in the database; if the zinc oxide lightning arrester defect assessment value is greater than the zinc oxide lightning arrester defect assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester defect is serious; if the zinc oxide lightning arrester defect assessment value is not greater than the zinc oxide lightning arrester defect assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester defect is not serious.

[0081] The external crack growth rate refers to the rate at which cracks on the surface of the zinc oxide arrester expand, and is expressed as the change in crack length per unit time. The surface discharge trace ratio refers to the ratio of the trace area left on the surface of the zinc oxide arrester due to electrical discharge to the total surface area of ​​the arrester. Use surface discharge detection equipment, such as an infrared thermal imager, to photograph the surface of the arrester, clearly calibrate the area of ​​the discharge trace, and calculate the ratio of the discharge trace area to the total surface area to obtain the discharge trace ratio. The material aging rate reflects the degree of gradual degradation of the electrical performance of the zinc oxide arrester material due to long-term use or high current load, and is obtained by weighted summing the increase in resistance and the decrease in dielectric strength.

[0082] The zinc oxide arrester defect assessment value is determined based on the zinc oxide arrester defect data and the zinc oxide arrester parameter defect data. The zinc oxide arrester defect assessment value reflects the health status of the zinc oxide arrester. The larger the assessment value, the more serious the defect. Determine whether the zinc oxide arrester defect assessment value is greater than the zinc oxide arrester defect assessment threshold stored in the database. If the assessment value is greater than the threshold, it means that the defect of the zinc oxide arrester has exceeded the normal tolerance range and there is a high risk of failure or failure. If the assessment value is not greater than the threshold, it means that the degree of defect of the equipment is relatively light and the risk is relatively low.

[0083] The calculation formula for the defect assessment value of zinc oxide arrester is:

[0084] ;

[0085] In the formula, ZC is the defect assessment value of zinc oxide lightning arrester, sZ is the external crack growth rate, cZ is the parameter external crack growth rate, sX is the material aging rate, cX is the parameter material aging rate, sV is the proportion of surface discharge marks, and cV is the proportion of parameter surface discharge marks.

[0086] By summing up the crack growth rate, material aging rate, and proportion of surface discharge marks, the influence of different defect indicators on the overall defect degree of the lightning arrester can be reflected. The final evaluation value ZC is obtained by adding up various factors. The larger the value, the more serious the defect degree of the lightning arrester.

[0087] The remaining life of the zinc oxide lightning arrester is obtained based on the remaining life matching data of the zinc oxide lightning arrester. The specific analysis process is: obtain the remaining life pointing data of each zinc oxide lightning arrester stored in the database, each remaining life pointing data of the zinc oxide lightning arrester corresponds to a remaining life, and the remaining life matching data of the zinc oxide lightning arrester includes a matching value of the cumulative number of lightning strikes and a matching value of the degree of mechanical damage; compare the remaining life matching data of the zinc oxide lightning arrester with the remaining life pointing data of each zinc oxide lightning arrester one by one to determine the minimum remaining life comparison value; determine the closest remaining life pointing data of the zinc oxide lightning arrester based on the minimum remaining life comparison value, and obtain the remaining life of the zinc oxide lightning arrester corresponding to the closest remaining life pointing data of the zinc oxide lightning arrester from the database.

[0088] The current sensor monitors the current generated by each lightning strike and records the number of lightning strikes in the database. As the number of lightning strikes accumulates, the durability of the arrester gradually weakens. The degree of mechanical damage is obtained by external inspection with a high-resolution camera. The degree of mechanical damage is obtained by weighted summation of crack length and deformation depth. The greater the degree of mechanical damage, the more serious the mechanical loss.

[0089] The zinc oxide arrester remaining life pointing data set stored in the database includes a plurality of different zinc oxide arrester remaining life pointing data. Each zinc oxide arrester remaining life pointing data corresponds to a corresponding remaining life, which represents the time the arrester can continue to be used under the state of the current zinc oxide arrester remaining life pointing data. The actual cumulative number of lightning strikes and the degree of mechanical damage of the zinc oxide arrester monitored in real time are compared with the remaining life pointing data of each zinc oxide arrester in the database to find the closest zinc oxide arrester remaining life pointing data. The remaining life time corresponding to the closest matching data is extracted from the database. According to the remaining life value obtained, the zinc oxide arrester damage is warned in advance.

[0090] The calculation formula for the remaining life comparison value is:

[0091] ;

[0092] Where ZK is the remaining life comparison value, sN is the cumulative number of lightning strikes, cN is the matching value of the cumulative number of lightning strikes, sM is the degree of mechanical damage, and cM is the matching value of the degree of mechanical damage.

[0093] In this embodiment, the contents that can be implemented based on the power Internet of Things include:

[0094] Real-time data collection and monitoring: Through the intelligent sensors installed on the zinc oxide lightning arrester, the system can collect key operating data such as leakage current, operating voltage and power loss in real time, and use the Internet of Things technology to transmit this data to the central monitoring platform to achieve remote monitoring.

[0095] Intelligent risk assessment: Based on the collected data, the system can analyze the operating status of the zinc oxide arrester through the built-in algorithm, determine whether there is a potential risk, and automatically trigger the early warning mechanism when an abnormality is found.

[0096] Defect analysis and life prediction: Using IoT technology, the system can obtain the defect data and remaining life matching data of the lightning arrester, and evaluate the degree of defect of the lightning arrester and predict its remaining service life by analyzing these data.

[0097] Environmental and load adaptability: The system can dynamically adjust the allowable deviation value of the operating status according to the external ambient temperature and grid load fluctuations to adapt to different operating conditions.

[0098] Data-driven decision support: By analyzing and processing large amounts of monitoring data, the system provides power operators with data-driven maintenance decision support, optimizes maintenance plans and improves power system reliability.

[0099] A specific example is: in the examples of zinc oxide arrester operating state data, zinc oxide arrester parameter operating state data and zinc oxide arrester operating state allowable deviation value, sQ is 1.05A, cQ is 1A, is 0.05A, sW is 220V, cW is 230V, is 23V, sE is 50W, cE is 60W, ∆sE is 9W, and the calculated operating status assessment value of the zinc oxide lightning arrester is 1.27, and the operating status assessment threshold of the zinc oxide lightning arrester is 1.50. Since the operating status assessment value of the zinc oxide lightning arrester is less than the operating status assessment threshold of the zinc oxide lightning arrester, it is judged that there is no risk for the zinc oxide lightning arrester, and the lightning strike data is obtained.

[0100] In the examples of lightning strike data and lightning strike parameter data, sD is 12ms, cD is 10ms, is 1.0, sF is 35KA, cF is 30KA, is 0.8, sG is 2mA, cG is 1,5mA, The calculated lightning strike assessment value is 0.585, and the lightning strike assessment threshold is 0.5. Since the lightning strike assessment value is greater than the lightning strike assessment threshold, it is determined that the zinc oxide lightning arrester has risks.

[0101] In the examples of zinc oxide arrester defect data and zinc oxide arrester parameter defect data, sZ is 0.03mm / year, cZ is 0.02mm / year, sX is 0.12, cX is 0.1, sV is 0.08, and cV is 0.05. The calculated zinc oxide arrester defect assessment value is 2.39, and the zinc oxide arrester defect assessment threshold is 2.20. Since the zinc oxide arrester defect assessment value is greater than the zinc oxide arrester defect assessment threshold, it is judged that the zinc oxide arrester defect is serious.

[0102] The algorithm involved in this embodiment can be executed by an electronic device. The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The above algorithm calculation is implemented by executing the software by the processor.

Claims

1. An intelligent monitoring system for zinc oxide lightning arresters based on power Internet of Things, characterized in that: include: Zinc oxide lightning arrester operation status acquisition module, zinc oxide lightning arrester defect degree acquisition module, zinc oxide lightning arrester life assessment module; The zinc oxide lightning arrester operation status acquisition module is used to determine whether the zinc oxide lightning arrester has potential risks within a monitoring cycle. If it is determined that there is no potential risk, it is used to determine whether the zinc oxide lightning arrester has potential risks in the next monitoring cycle. If there is a potential risk, it is determined whether the zinc oxide lightning arrester has defects. The zinc oxide lightning arrester defect acquisition module is used to obtain zinc oxide lightning arrester defect data when there is a risk in the zinc oxide lightning arrester, and judge the degree of the defect of the zinc oxide lightning arrester based on the zinc oxide lightning arrester defect data; The zinc oxide lightning arrester life assessment module is used to obtain the zinc oxide lightning arrester remaining life matching data when it is judged that the defect degree of the zinc oxide lightning arrester is serious, and obtain the zinc oxide lightning arrester remaining life based on the zinc oxide lightning arrester remaining life matching data; Determining whether a zinc oxide arrester has potential risks during a monitoring cycle includes the following steps: Obtain the operating status data of the zinc oxide lightning arrester, and determine whether the zinc oxide lightning arrester has potential operating risks based on the operating status data of the zinc oxide lightning arrester: If there is a potential risk in the operating status, it is judged that there is a potential risk; If there is no potential risk in the operating state, obtain the lightning strike data and determine whether the zinc oxide lightning arrester has a potential risk of lightning strike based on the lightning strike data: If there is a potential risk of lightning strike, it is judged that there is a potential risk; If there is no potential risk of lightning strike, it is judged that there is no potential risk; Based on the operating status data of zinc oxide lightning arrester, it is judged whether there is potential operating risk of zinc oxide lightning arrester. The specific analysis process is as follows: Obtain the parameterized operating status data of zinc oxide lightning arrester, including parameterized leakage current, parameterized operating voltage and parameterized power loss; Obtain the allowable deviation value of the zinc oxide arrester operating state, including the allowable deviation value of leakage current, the allowable deviation value of operating voltage and the allowable deviation value of power loss; Determine the zinc oxide lightning arrester operating state evaluation value based on the zinc oxide lightning arrester operating state data, the zinc oxide lightning arrester parameter operating state data and the zinc oxide lightning arrester operating state allowable deviation value, the zinc oxide lightning arrester operating state data including leakage current, operating voltage and power loss; Compare the zinc oxide lightning arrester operation status assessment value with the zinc oxide lightning arrester operation status assessment threshold stored in the database to determine whether the zinc oxide lightning arrester operation status assessment value is greater than the zinc oxide lightning arrester operation status assessment threshold stored in the database; If the zinc oxide arrester operating status assessment value is greater than the zinc oxide arrester operating status assessment threshold stored in the database, it is determined that the zinc oxide arrester is at risk; If the zinc oxide arrester operating status assessment value is not greater than the zinc oxide arrester operating status assessment threshold stored in the database, it is determined that the zinc oxide arrester does not have a risk; Obtain the allowable deviation value of the zinc oxide arrester operating status. The specific analysis process is as follows: Obtain external environment temperature and grid load fluctuations, and combine and mark them as the impact data of zinc oxide lightning arrester operation state deviation; Acquire an operation state deviation impact data set stored in a database, the operation state deviation impact data set including a plurality of operation state deviation impact matching data, the operation state deviation impact matching data including an external environment temperature matching value and a power grid load fluctuation matching value; Compare the zinc oxide arrester operation state deviation impact data with each operation state deviation impact matching data stored in the database one by one to determine the minimum operation state comparison value; Determine the closest running state deviation impact matching data based on the minimum running state comparison value, and obtain the zinc oxide arrester running state allowable deviation value corresponding to the closest zinc oxide arrester running state deviation impact data from the database; The calculation formula of the operating status evaluation value of the zinc oxide lightning arrester is: ； In the formula, ZA is the operating status assessment value of the zinc oxide lightning arrester, sQ is the leakage current, and cQ is the parameter leakage current. is the allowable deviation value of leakage current, sW is the working voltage, cW is the parameter working voltage, is the allowable deviation of the working voltage, sE is the power loss, cE is the parameter power loss, is the allowable deviation value of power loss.

2. According to claim 1, a zinc oxide lightning arrester intelligent monitoring system based on power Internet of Things is characterized in that: Based on the lightning strike data, it is judged whether the zinc oxide lightning arrester has the potential risk of lightning strike. The specific analysis process is as follows: Obtain lightning parameter data, including parameterized lightning current duration, parameterized leakage current and parameterized lightning current peak value; Determine a lightning strike assessment value based on lightning strike data and lightning strike parameter data, wherein the lightning strike data includes lightning strike current duration, leakage current and lightning strike current peak value; Determine whether the lightning strike assessment value is greater than the lightning strike assessment threshold stored in the database; If the lightning strike assessment value is judged to be greater than the lightning strike assessment threshold stored in the database, it is judged that the zinc oxide lightning arrester has a risk; If it is determined that the lightning strike assessment value is not greater than the lightning strike assessment threshold stored in the database, it is determined that the zinc oxide lightning arrester does not pose a risk.

3. According to claim 2, a zinc oxide lightning arrester intelligent monitoring system based on electric power Internet of Things is characterized in that: The calculation formula of the lightning strike rating value is: ； In the formula, ZB is the lightning rating value, sD is the current duration, and cD is the parameter current duration. is the weight factor of sD, sF is the peak value of lightning current, cF is the peak value of parameterized lightning current, is the weight factor of sF, sG is the leakage current, cG is the parameterized leakage current, is the weight factor of sG.

4. According to claim 1, a zinc oxide lightning arrester intelligent monitoring system based on the power Internet of Things is characterized by: The defect degree of zinc oxide arrester is judged based on the defect data of zinc oxide arrester. The specific analysis process is as follows: Obtain the specified defect data of zinc oxide arresters, including the specified external crack growth rate, the specified surface discharge mark ratio and the specified material aging rate; Determine the zinc oxide arrester defect assessment value based on the zinc oxide arrester defect data and the zinc oxide arrester parameter defect data. The zinc oxide arrester defect data includes the external crack growth rate, the surface discharge mark ratio and the material aging rate. Determine whether the zinc oxide lightning arrester defect assessment value is greater than the zinc oxide lightning arrester defect assessment threshold stored in the database; If the zinc oxide arrester defect assessment value is greater than the zinc oxide arrester defect assessment threshold stored in the database, it is judged that the zinc oxide arrester defect is serious; If the zinc oxide lightning arrester defect assessment value is not greater than the zinc oxide lightning arrester defect assessment threshold stored in the database, it is judged that the zinc oxide lightning arrester defect is not serious.

5. The intelligent monitoring system for zinc oxide lightning arresters based on the power Internet of Things according to claim 4 is characterized in that: The calculation formula of the defect assessment value of the zinc oxide arrester is: ； In the formula, ZC is the defect assessment value of zinc oxide lightning arrester, sZ is the external crack growth rate, cZ is the parameter external crack growth rate, sX is the material aging rate, cX is the parameter material aging rate, sV is the proportion of surface discharge marks, and cV is the proportion of parameter surface discharge marks.

6. The intelligent monitoring system for zinc oxide lightning arresters based on the power Internet of Things according to claim 1 is characterized in that: The remaining life of the zinc oxide arrester is obtained based on the matching data of the remaining life of the zinc oxide arrester. The specific analysis process is as follows: Obtain the remaining life pointing data of each zinc oxide lightning arrester stored in the database, each remaining life pointing data of the zinc oxide lightning arrester corresponds to a remaining life, and the remaining life matching data of the zinc oxide lightning arrester includes a matching value of the cumulative number of lightning strikes and a matching value of the degree of mechanical damage; Compare the zinc oxide arrester remaining life matching data with the remaining life pointing data of each zinc oxide arrester one by one to determine the minimum remaining life comparison value; The closest zinc oxide arrester remaining life pointing data is determined based on the minimum remaining life comparison value, and the zinc oxide arrester remaining life corresponding to the closest zinc oxide arrester remaining life pointing data is obtained from a database.

Images