A pollution flashover disaster risk assessment method and system based on insulator contamination and wetness index

Abstract

The application discloses a pollution flashover disaster risk assessment method and system based on insulator contamination and wetting index. First, the operation time of each insulator on a power transmission line and the pollution area grade, historical meteorological data and pollution flashover data of a related area are collected. An insulator contamination index assessment model and a wetting index model are constructed by using environmental contamination concentration, corrected meteorological data and pollution flashover data. The above models are used to predict the contamination index and the wetting index, and then a predicted pollution flashover comprehensive index is calculated. According to a preset risk level threshold, a corresponding alarm signal is sent to early warn possible insulator contamination or pollution flashover events, so that the safety and stability of the power transmission line are effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transmission line insulator detection, and mainly relates to an insulator contamination and wetting index-based pollution flashover disaster risk assessment method and system. BACKGROUND

[0002] Insulators in a transmission line gradually accumulate pollutants due to long-term exposure to the atmosphere, and in high humidity weather, soluble substances in the pollutants can dissolve to form a conductive water film, causing leakage current on the surface of the insulator. Due to the uneven current density on the surface of the insulator, a dry area with a high voltage may be formed at a specific location, and thus when the electric field strength is large enough, surface discharge such as glow discharge, spark discharge or local arc may occur. These discharge phenomena may be intermittent, but when pollution and humidity are severe, local arc may gradually develop, and eventually lead to flashover.

[0003] Therefore, it is particularly important to effectively warn of insulator contamination and pollution flashover risk. For example, CN105652164B discloses an insulator contamination flashover accident risk level analysis method, which uses known environmental meteorological data in combination with insulator operating parameters in a target time node and target area to establish a mathematical model of insulator contamination flashover accident risk. The flashover risk level of the insulator can be divided according to the evaluation results, and targeted and selective line inspection and maintenance work can be performed. The application can effectively prevent power accidents caused by insulator contamination flashover, and ensure that the power system operates in a reliable, safe and economic state.

[0004] Timely monitoring and early warning can help prevent insulator pollution flashover accidents, reduce the possibility of line failure, and improve the stability and reliability of the power system, thereby ensuring the safe operation of the power grid and reducing economic losses caused by failures. The above-mentioned application requires a large amount of data processing and mathematical modeling capability to obtain accurate analysis results, as well as high computing cost and complex data processing procedures due to the establishment of multi-dimensional vectors and complex mathematical model derivation. It is suitable for risk assessment scenarios that require detailed analysis and high accuracy. Depending on the application scenario and cost selection, further exploration of line insulator pollution flashover warning methods is needed to obtain more efficient and accurate methods for predicting and researching the risk of line insulator pollution flashover, and to provide technical support for preventing pollution flashover disasters and reducing the impact of disasters. SUMMARY

[0005] To solve the above-mentioned problems existing in the prior art, the present application provides an insulator contamination and wetting index-based pollution flashover disaster risk assessment method and system.

[0006] The technical solution of the present application is as follows:

[0007] A pollution flashover disaster risk assessment method based on insulator contamination and wetting index, the method comprising:

[0008] Obtaining the operation time of each insulator on the transmission line, and obtaining the pollution area grade, historical meteorological data and pollution flashover data of the area where the transmission line is located within the operation time period;

[0009] According to the equivalent salt density of the pollution area grade, the corresponding environmental contamination concentration is determined; the historical meteorological data is corrected to obtain the corrected meteorological data;

[0010] An insulator contamination index evaluation model and an insulator wetting index model are constructed, and the environmental contamination concentration, the corrected meteorological data and the pollution flashover data are respectively input into the insulator contamination index evaluation model and the insulator wetting index model for parameter training, to obtain the trained insulator contamination index evaluation model and the insulator wetting index model;

[0011] Obtaining the environmental contamination concentration and the corrected meteorological data of the area where the transmission line is located within the to-be-predicted time period, and inputting them into the trained insulator contamination index evaluation model and the insulator wetting index model to obtain the predicted contamination index and the predicted wetting index, and calculating the predicted pollution flashover comprehensive index according to the predicted contamination index and the predicted wetting index;

[0012] According to the prediction contamination index and the prediction pollution flashover comprehensive index division standard, the risk grade is output, and the corresponding alarm signal is sent according to the risk grade.

[0013] As a preferred embodiment of the present application, the meteorological data includes daily average wind speed, daily average relative humidity, daily maximum temperature and daily average rainfall; the pollution flashover data includes contamination index and wetting index corresponding to the meteorological data.

[0014] As a preferred embodiment of the present application, according to the equivalent salt density of the pollution area grade to determine the corresponding environmental contamination concentration, specifically, the area where the transmission line is located is divided into five pollution area grades a, b, c, d and e according to the field contamination degree grade rule, and each pollution area grade corresponds to an equivalent salt density interval, the salt density data of the same number of sampling points in each pollution area grade region is collected, and the average salt density corresponding to each pollution area grade is calculated according to the salt density data; taking the c-level pollution area grade region as a reference, the ratio of the average salt density of each pollution area grade is taken as the environmental contamination concentration of the corresponding region.

[0015] As a preferred embodiment of the present application, the correction of the historical meteorological data includes correcting the historical daily average wind speed less than 0.1 m / s to 0.1 m / s; correcting the historical daily average relative humidity corresponding to the day when the historical daily average rainfall is 0 to 85%.

[0016] As a preferred embodiment of this application, the insulator pollution index assessment model is expressed by the following formula:

[0017] ;

[0018] in:

[0019] ;

[0020] ;

[0021] ;

[0022] ;

[0023] ;

[0024] ;

[0025] In the formula, For the first The insulator pollution index of the day For the first The pollution index increases over time. For the first The sky's pollution washout index; The air pollution index, The wind speed pollution index, The relative humidity and dirt accumulation index; The concentration of environmental pollution on a daily basis. The average daily wind speed The daily average relative humidity, This is the insulator shape difference coefficient. This refers to the average daily rainfall. The air pollution coefficient, The wind speed pollution accumulation coefficient, Humidity-based dirt accumulation coefficient; The scouring coefficient is... The percentage of insulator dirt that can be cleaned. This is the scouring attenuation coefficient.

[0026] As a preferred embodiment of this application, the insulator wetting index model is expressed by the formula:

[0027] ;

[0028] In the formula, This is the insulator wettability index.

[0029] As a preferred embodiment of the present application, a predicted pollution flashover comprehensive index is calculated according to the predicted pollution index and the predicted wetness index, and is expressed in a formula as follows:

[0030] ;

[0031] In the formula, is the predicted pollution flashover comprehensive index of the insulator on the day.

[0032] As a preferred embodiment of the present application, a risk level is output according to the predicted pollution index and the predicted pollution flashover comprehensive index, and a corresponding alarm signal is sent according to the risk level, specifically:

[0033] Corresponding threshold values of the pollution index and the pollution flashover comprehensive index are preset, and when the predicted pollution index or the predicted pollution flashover comprehensive index is greater than or equal to the corresponding threshold value, it is determined that the risk level of the insulator corresponding to the transmission line is high risk, and a corresponding insulator pollution alarm signal or insulator pollution flashover alarm signal is sent.

[0034] The present application also provides a pollution flashover disaster risk assessment system based on insulator pollution and wetness index, which comprises an assessment data acquisition unit, a risk assessment unit and an alarm unit, wherein:

[0035] The assessment data acquisition unit is used to acquire the environmental pollution concentration and the corrected meteorological data of the area where the transmission line is located in the to-be-predicted period, and input them to the risk assessment unit;

[0036] The risk assessment unit is internally provided with a trained insulator pollution index assessment model and an insulator wetness index model, the environmental pollution concentration and the corrected meteorological data of the area where the transmission line is located in the to-be-predicted period are input into the trained insulator pollution index assessment model and the insulator wetness index model respectively, the predicted pollution index and the predicted wetness index are obtained, the predicted pollution flashover comprehensive index is calculated according to the internally provided prediction pollution flashover comprehensive index algorithm, and the risk is judged according to the corresponding threshold values of the pollution index and the pollution flashover comprehensive index preset in the risk assessment unit, when the predicted pollution index or the predicted pollution flashover comprehensive index is greater than or equal to the corresponding threshold value, it is determined that the risk level of the insulator corresponding to the transmission line is high risk, and the risk level is output to the alarm unit, wherein:

[0037] The insulator pollution index assessment model is expressed in a formula as follows:

[0038] ;

[0039] In the formula,

[0040] ;

[0041] ​;

[0042] ;

[0043] ;

[0044] ;

[0045] ;

[0046] wherein, is the pollution index of the insulator on the day, is the pollution increase index on the day, is the pollution flushing index on the day; is the air pollution index, is the wind speed pollution index, is the relative humidity pollution index; is the daily environmental pollution concentration, is the daily average wind speed, is the daily average relative humidity, is the insulator shape difference coefficient, is the daily average rainfall; is the air pollution coefficient, is the wind speed pollution coefficient, is the humidity pollution coefficient; is the flushing coefficient, is the proportion of insulator pollution that can be cleaned, is the flushing decay coefficient; The insulator wetness index model is expressed by a formula as follows:

[0047] ;

[0048] ;

[0049] wherein, is the insulator wetness index;

[0050] The predicted pollution index and the predicted wetness index are used to calculate a predicted pollution flashover comprehensive index, which is expressed by a formula as follows:

[0051] ;

[0052] wherein, is the predicted pollution flashover comprehensive index of the insulator on the day, is the predicted pollution flashover comprehensive index of the insulator on the day,

[0053] The warning unit performs corresponding warning actions according to the risk level and sends corresponding warning signals.

[0054] ​​The application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a pollution flashover disaster risk assessment method based on insulator contamination and wetting index according to any embodiment of the application.

[0055] Compared with the prior art, the application has the following beneficial effects:

[0056] The application provides a pollution flashover disaster risk assessment method and system based on insulator contamination and wetting index. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 is a method flowchart of an embodiment of the application;

[0058] Figure 2 is an evaluation result diagram of an embodiment of the application. DETAILED DESCRIPTION

[0059] The specific embodiments of the application are described below to facilitate understanding of the application by those skilled in the art, but it should be clear that the application is not limited in scope to the specific embodiments, and for those skilled in the art, any changes that are obvious within the spirit and scope of the application as defined and determined by the appended claims are obvious, and all applications utilizing the concept of the application are within the scope of protection.

[0060] The application provides the following technical solutions: a pollution flashover disaster risk assessment method and system based on insulator contamination and wetting index.

[0061] Embodiment 1

[0062] The embodiment provides a pollution flashover disaster risk assessment method based on insulator contamination and wetting index.

[0063] S1, obtaining the operation time of each insulator on the transmission line, and obtaining the pollution area grade, historical meteorological data and pollution flashover data of the region where the transmission line is located within the operation time period;

[0064] Preferably, the operation time of the insulator is the time when the transmission line is erected and put into operation or the time recorded by the insulator replacement work of each level of tower, and the latest time between the two is used as the criterion.

[0065] Preferably, the meteorological data includes daily average wind speed, daily average relative humidity, daily maximum air temperature and daily average rainfall;

[0066] Preferably, the pollution flashover data includes a pollution index and a wetness index corresponding to the meteorological data;

[0067] S2, determine the corresponding environmental pollution concentration according to the equivalent salt density of the pollution area grade; correct the historical meteorological data to obtain corrected meteorological data;

[0068] S21, divide the area where the power transmission line is located into five pollution area grades of a, b, c, d and e according to the field pollution degree grade rule in (Q / GDW 1152.1-2014 Power System Pollution Area Grading and External Insulation Selection Standard) as shown in Table 1;

[0069] Table 1 Pollution area grade division standard

[0070]

[0071] The pollution area grades respectively correspond to equivalent salt density intervals, and the salt density data of the same number of sampling points in each pollution area grade area are collected respectively, and the average salt density corresponding to each pollution area grade is calculated according to the salt density data; taking the c-grade pollution area grade area as a reference, the ratio of the average salt densities of each pollution area grade is taken as the environmental pollution concentration of the corresponding area;

[0072] In this embodiment, the determined environmental pollution concentration is shown in Table 2:

[0073] Table 2 Environmental pollution concentration determination

[0074]

[0075] S22, correcting the historical meteorological data includes correcting the historical daily average wind speed less than 0.1 m / s to 0.1 m / s, i.e. the minimum wind speed is 0.1 m / s; correcting the historical daily average rainfall of 0 to the corresponding historical daily average relative humidity of 85% when there is no rainfall on the day, and the relative humidity can reach more than 90% when the daily rainfall is greater than or equal to 0.1 mm;

[0076] S3, build an insulator pollution index evaluation model and an insulator wetness index model, input the environmental pollution concentration, the corrected meteorological data and the pollution flashover data into the insulator pollution index evaluation model and the insulator wetness index model respectively for parameter training, and obtain the trained insulator pollution index evaluation model and the insulator wetness index model;

[0077] S31, according to daily insulator surface pollution index (Pollution, abbreviated as P) equal to the last day of pollution value plus the day of pollution increase index (Accumulation, recorded as A), minus the day of pollution brush index (Brush, abbreviated as B), the insulator pollution index evaluation model is expressed in formula as:

[0078] ;

[0079] In the formula, is the insulator pollution index of the first day, is the insulator pollution index of the last day of the first day, and the initial value is 0; is the pollution increase index of the first day, which is mainly determined by the environmental pollution concentration (Pollute Concentration, abbreviated as ), the average wind speed (Wind Speed, abbreviated as ), the average relative humidity (Relative Humidity, abbreviated as ), and the insulator shape difference coefficient (abbreviated as );

[0080] Wherein, the environmental pollution concentration represents the content of pollution in the air; the average wind speed affects the diffusion speed of pollution particles in the air; the insulator shape difference coefficient represents the relative area size of pollution particles colliding and adhering to the insulator; and the average relative humidity affects the difficulty of pollution settlement and adhesion to the insulator surface;

[0081] Assuming that the wind direction at any time is unidirectional, and the pollution particles in the air are uniformly distributed on the insulator surface, the daily pollution increase index can be expressed as “the environmental pollution concentration influence index on pollution multiplied by the average wind speed influence index on pollution multiplied by the relative area size on the insulator multiplied by the pollution time multiplied by the average relative humidity influence index on pollution”, wherein the pollution time is 1 day (24 hours, i.e. 86400 seconds), and the pollution time is fixed every day. In order to avoid the daily pollution increase index value from increasing explosively, the pollution time =1; Considering that the power grid is designed according to the corresponding standard specification, the insulator configuration meets the operation requirements under normal conditions, and only in the case of extreme weather or significant environmental changes, pollution flashover accidents are prone to occur; and the specific shape of each insulator of the line is difficult to completely obtain and measure its wind area, in order to reduce the evaluation difficulty, it is assumed that the wind area of each insulator is equal, i.e. the insulator shape difference coefficient =1;

[0082] Therefore, the first day of the fouling increase index is expressed by the formula:

[0083] ;

[0084] In the formula, is the air fouling index; is the wind speed fouling index, which represents the ability of unit wind speed to carry pollution particles; is the relative humidity fouling index, which represents the ability of pollution to be adsorbed and settled on the surface of the insulator;

[0085] is the pollution flushing index of the first day, which is mainly determined by the daily average rainfall (Rain, abbreviated as ) and is expressed by the formula:

[0086] ;

[0087] In the formula, is the flushing coefficient;

[0088] Further, the air fouling index is expressed by the formula:

[0089] ;

[0090] In the formula, is the air pollution coefficient; according to the experiments in “Dynamic Pollution Mechanism and Online Monitoring of External Insulation of High-voltage Transmission Lines [D]”, the amount of pollution on the insulator increases with the increase of the environmental pollution concentration;

[0091] Further, by constructing a rainwater runoff pollutant flushing model to simulate the rainfall cleaning process, it is known that the flushing rate of the deposited pollutants is proportional to the amount of the deposited pollutants, so the flushing coefficient is expressed by the formula:

[0092] ;

[0093] In the formula, is the proportion of insulator pollution that can be cleaned, is the flushing decay coefficient;

[0094] It is worth noting that the construction of the rainwater runoff pollutant flushing model to simulate the rainfall cleaning process is prior art, which is described in “Cleaning Effect of Rainfall on Insulator Surface Pollution” and “A Washoff model for stormwater pollutants [J]”. Therefore, it will not be described here;

[0095] Preferably, the insulator pollution washable proportion is related to the insulator surface area pollution salt ratio (mass ratio of insoluble pollution components and soluble pollution components), because the water retention capacity of the insulator surface area pollution increases with the increase of the insulator surface area pollution salt ratio, resulting in the weakening of the ability of rainfall to wash away the pollution, and the insulator pollution washable proportion is accordingly smaller;

[0096] Further, through the experiment in "Insulator Rapid Pollution Characteristics under Artificially Simulated Natural Crosswind Conditions", it is known that when the wind speed is between 2.2 m / s and 4.5 m / s, the pollution degree of the upper and lower surfaces of the insulator gradually increases, reaches a peak value near 6 m / s, and then decreases. When the wind speed is about 6.0 m / s, the decrease is the largest, and when the wind speed is about 12.5 m / s, the pollution degree of the insulator surface decreases to 0. Accordingly, the wind speed pollution index of the present embodiment is which is expressed by the formula as:

[0097] ;

[0098] In the formula, is the wind speed pollution coefficient;

[0099] Further, according to the BET adsorption model in "Research on the Influence of Relative Humidity on the Adhesion of Material Surface", a formula for calculating the adhesion considering the influence of humidity is derived, from which it is obtained that the relative humidity pollution index when the daily average humidity is between 20% and 90% (in addition, each interval is represented by a constant), which is expressed by the formula as:

[0100] ;

[0101] In the formula, is the humidity pollution coefficient;

[0102] Further, in the present embodiment, the influence of each coefficient on the pollution amount is considered, for example, within 7 days before the failure (d = -1, …, -7), the rainfall should not have a large flushing effect on the pollution; within the range of rainfall < the maximum rainfall in the previous seven days, the flushing coefficient should be as small as possible; and in the period far from the failure (d < -8), the rainfall can have a large flushing effect on the pollution. The sum of the days in which the rainfall is greater than the maximum rainfall in the period far from the failure is counted, and the more days in which the rainfall is greater, the more beneficial it is to the washing of the pollution. The flushing coefficient should be as large as possible after the period far from the failure in which the maximum rainfall occurs. According to the above considerations, the actual calculation takes Further, let , and the actual calculation takes ; ;

[0103] S32, according to the experience of experts, when the rainfall is large, it is not easy to form a dry area and an electric arc, when there is no rainfall and the humidity is not high, the conductivity is not high, the leakage current is small, and it is not easy to occur pollution flashover, most of the pollution flashover occurs under light rain or high humidity conditions. Therefore, a wetness index model of the insulator is established, and a wetness index (Moist, abbreviated as M) is defined, which is expressed by a formula as follows:

[0104] ;

[0105] In the formula, is the insulator wetness index;

[0106] S33, in this embodiment, the goal is to maximize the pollution index x wetness index, that is, the pollution flashover comprehensive index at the time of failure, the parameters in the insulator pollution index evaluation model and the insulator wetness index model are optimized by a genetic algorithm, the parameters include the air pollution coefficient, the wind speed pollution coefficient, the humidity pollution coefficient, the scouring attenuation coefficient and the proportion of the insulator pollution that can be cleaned; and s.t., {0.1, 0.2, 0.3, 0.4, 0.5}, [0.1, 1], in this embodiment, it is calculated that: = 0.03, = 0.5, = 0.5;

[0107] S34, the predicted pollution flashover comprehensive index is calculated according to the predicted pollution index and the predicted wetness index, which is expressed by a formula as follows:

[0108] ;

[0109] In the formula, is the predicted pollution flashover comprehensive index of the insulator on the nth day;

[0110] S4, the environmental pollution concentration and the corrected meteorological data of the area where the power transmission line is located in the to-be-predicted period are obtained, and are input into the trained insulator pollution index evaluation model and the insulator wetness index model, to obtain the predicted pollution index and the predicted wetness index, and the predicted pollution flashover comprehensive index is calculated according to the predicted pollution index and the predicted wetness index;

[0111] S5, according to the prediction pollution index and the prediction pollution flashover comprehensive index division standard, the risk level is output, and the corresponding alarm signal is sent according to the risk level;

[0112] The corresponding threshold values of the pollution index and the pollution flashover comprehensive index are preset, when the predicted pollution index or the predicted pollution flashover comprehensive index is greater than or equal to the corresponding threshold value, it is determined that the risk level of the insulator corresponding to the power transmission line is high, and the corresponding insulator pollution alarm signal or insulator pollution flashover alarm signal is sent. ​

[0113] S6, effect verification;

[0114] In order to verify the evaluation accuracy of the method described in the embodiment, the risk of the insulator No. 78 in a certain area where a pollution flashover event occurred is evaluated, specifically:

[0115] The total operation time of the insulator No. 78 is obtained, the total operation time is 366 days, the pollution area grade of the area where the transmission line is located is e, the meteorological data of the 366 days is obtained, including the average wind speed (m / s), the average relative humidity (%), the maximum temperature (℃) and the average rainfall (mm) per day;

[0116] According to the equivalent salt density of the pollution area grade, the corresponding environmental pollution concentration is determined, the corresponding environmental pollution concentration CP=2, the meteorological data of the 366 days is corrected, and the above data is input into the trained insulator pollution degree evaluation model and the wetness calculation model, wherein kPkWkH=0.03, CI=1, BS=0.5, kB=0.5; the daily predicted pollution index, the predicted wetness index and the predicted pollution flashover comprehensive index of the insulator No. 78 are output, as shown in Figure 2 The pollution index, the predicted wetness index and the predicted pollution flashover comprehensive index are plotted into a line graph, all of which are predicted values, Polltion is the daily insulator pollution index, Moist is the daily insulator wetness index, and Flash is the daily insulator pollution flashover comprehensive index;

[0117] The preset pollution index corresponding threshold is 0.8 and the pollution flashover comprehensive index corresponding threshold is 0.64, and the analysis Figure 2 It can be seen that the predicted pollution index of the insulator No. 78 reaches 0.8 or more when the insulator fails, which is the highest value in history, at this time it is high risk, and the insulator pollution warning information should be sent, at this time the predicted wetness index of the insulator also reaches 0.8 or more, and the predicted pollution flashover comprehensive index is greater than 0.64, at this time it is also high risk, and the insulator pollution flashover warning should be sent; the evaluation result is consistent with the pollution flashover accident record, thereby verifying the effectiveness of the present application.

[0118] Embodiment 2:

[0119] The embodiment provides a pollution flashover disaster risk evaluation system based on insulator pollution and wetness index, the system comprises an evaluation data acquisition unit, a risk evaluation unit and an alarm unit, wherein:

[0120] The evaluation data acquisition unit is used for obtaining the environmental pollution concentration and the corrected meteorological data of the area where the transmission line is located in a to-be-predicted time period, and inputting the environmental pollution concentration and the corrected meteorological data into the risk evaluation unit;

[0121] The risk assessment unit incorporates a trained insulator pollution index assessment model and an insulator humidity index model. It inputs the environmental pollution concentration and corrected meteorological data for the area where the transmission line is located during the prediction period into these models to obtain predicted pollution and humidity indices. A predicted flashover index is then calculated using a built-in algorithm. Risk is assessed based on preset thresholds for the pollution and flashover indices. If either the predicted pollution index or the predicted flashover index is greater than or equal to the corresponding threshold, the insulator risk level corresponding to the transmission line is determined to be high risk, and the risk level is output to the alarm unit.

[0122] The insulator pollution index assessment model is expressed by the following formula:

[0123] ;

[0124] in:

[0125] ;

[0126] ;

[0127] ;

[0128] ;

[0129] ;

[0130] ;

[0131] In the formula, For the first The insulator pollution index of the day For the first The pollution index increases over time. For the first The sky's pollution washout index; The air pollution index, The wind speed pollution index, The relative humidity and dirt accumulation index; The concentration of environmental pollution on a daily basis. The daily average wind speed, The daily average relative humidity, This is the insulator shape difference coefficient. This refers to the average daily rainfall. The air pollution coefficient, The wind speed pollution accumulation coefficient, Humidity-based dirt accumulation coefficient; The scouring coefficient is... The percentage of insulator dirt that can be cleaned. The scouring attenuation coefficient;

[0132] The insulator wetting index model is expressed by the following formula:

[0133] ;

[0134] In the formula, The insulator's wettability index;

[0135] The predicted flashover index is calculated based on the predicted pollution index and the predicted wetness index, and is expressed by the following formula:

[0136] ;

[0137] In the formula, For the insulator The predicted comprehensive index of pollution flashover for the day;

[0138] The alarm unit performs corresponding alarm actions and issues corresponding alarm signals based on the risk level.

[0139] Example 3:

[0140] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements a method for assessing the risk of flashover disaster based on insulator pollution and wetting index as described in Embodiment 1 of this application.

[0141] It is worth noting that the system and electronic device described in this invention are based on the same inventive concept as the invention described in Embodiment 1 of this invention, and will not be repeated here.

[0142] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0143] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0144] It is to be understood that the present application is described by way of example only, and that modifications or alterations can be made to the features and embodiments described without departing from the spirit and scope of the application. In addition, modifications can be made to the features and embodiments described to accommodate specific situations and materials without departing from the spirit and scope of the application. Accordingly, the application is not limited to the specific embodiments disclosed herein, but rather, the scope of the application includes all embodiments falling within the scope of the claims.

Claims

1. A method for assessing the risk of flashover hazards based on insulator pollution and wetting index, characterized in that, The method includes: Obtaining the commissioning time of each insulator on the transmission line, and obtaining the pollution area level, historical meteorological data, and pollution flashover data of the area where the transmission line is located during the commissioning period; Determining the corresponding environmental pollution concentration according to the equivalent salt density of the pollution area level; correcting the historical meteorological data to obtain corrected meteorological data; Constructing an insulator pollution index evaluation model and an insulator wetness index model. The insulator pollution index evaluation model is expressed by the formula: ； Where: ； ； ； ； ； ； In the formula, For the first The insulator pollution index of the day For the first The pollution index increases over time. For the first The sky's pollution washout index; The air pollution index, The wind speed pollution index, The relative humidity and dirt accumulation index; The concentration of environmental pollution on a daily basis. The average daily wind speed, The daily average relative humidity, This is the insulator shape difference coefficient. This refers to the average daily rainfall. The air pollution coefficient, The wind speed pollution accumulation coefficient, Humidity-based dirt accumulation coefficient; The scouring coefficient is... The percentage of insulator dirt that can be cleaned. The scouring attenuation coefficient; The insulator wetness index model is expressed by the formula: ； In the formula, The insulator's wettability index; Inputting the environmental pollution concentration, corrected meteorological data, and pollution flashover data into the insulator pollution index evaluation model and the insulator wetness index model respectively for parameter training to obtain the trained insulator pollution index evaluation model and insulator wetness index model; Obtaining the environmental pollution concentration and corrected meteorological data of the area where the transmission line is located during the prediction period, and inputting them into the trained insulator pollution index evaluation model and insulator wetness index model to obtain the predicted pollution index and predicted wetness index. Calculate the predicted pollution flashover comprehensive index according to the predicted pollution index and predicted wetness index, which is expressed by the formula: ； In the formula, For the insulator The predicted comprehensive index of pollution flashover for the day; Outputting the risk level according to the prediction pollution index and the prediction pollution flashover comprehensive index division standard, and sending a corresponding alarm signal according to the risk level.

2. The method for assessing the risk of flashover disaster based on insulator pollution and wetting index according to claim 1, characterized in that, The meteorological data includes daily average wind speed, daily average relative humidity, daily maximum temperature, and daily average rainfall; the pollution flashover data includes the pollution index and wetness index corresponding to the meteorological data.

3. The method for evaluating the risk of flashover disasters based on the insulator contamination and wetting index according to claim 2, wherein, Determining the corresponding environmental pollution concentration according to the equivalent salt density of the pollution area level specifically means dividing the area where the transmission line is located into five pollution area levels of a, b, c, d, and e according to the field pollution degree level rules. Each pollution area level corresponds to an equivalent salt density interval. Collect the salt density data of the same number of sampling points in each pollution area level area, and calculate the average salt density corresponding to each pollution area level according to the salt density data; taking the area of the c-level pollution area level as the benchmark, taking the ratio of the average salt density of each pollution area level as the environmental pollution concentration of the corresponding area.

4. The method for assessing the risk of flashover disaster based on insulator pollution and wetting index according to claim 3, characterized in that, Correcting the historical meteorological data includes correcting the historical daily average wind speed data less than 0.1 m / s to 0.1 m / s; correcting the historical daily average relative humidity corresponding to the day when the historical daily average rainfall is 0 to 85%.

5. The method for assessing the risk of flashover disaster based on insulator pollution and wetting index according to claim 4, characterized in that, Outputting the risk level according to the prediction pollution index and the prediction pollution flashover comprehensive index division standard, and sending a corresponding alarm signal according to the risk level specifically means: Presetting the corresponding thresholds of the pollution index and the pollution flashover comprehensive index. When the predicted pollution index or the predicted pollution flashover comprehensive index is greater than or equal to the corresponding threshold, it is determined that the risk level of the insulator corresponding to the transmission line is a high risk, and a corresponding insulator pollution alarm signal or insulator pollution flashover alarm signal is sent.

6. A pollution flashover hazard risk assessment system based on insulator pollution and wetting index, characterized in that, The system includes an evaluation data acquisition unit, a risk assessment unit, and an alarm unit, where: The evaluation data acquisition unit is used to obtain the environmental pollution concentration and corrected meteorological data of the area where the transmission line is located during the prediction period, and input them into the risk assessment unit; The risk assessment unit incorporates a trained insulator pollution index assessment model and an insulator humidity index model. It inputs the environmental pollution concentration and corrected meteorological data for the area where the transmission line is located during the prediction period into these models to obtain predicted pollution and humidity indices. A predicted flashover index is then calculated using a built-in algorithm. Risk is assessed based on preset thresholds for the pollution and flashover indices. If either the predicted pollution index or the predicted flashover index is greater than or equal to the corresponding threshold, the insulator risk level corresponding to the transmission line is determined to be high risk, and the risk level is output to the alarm unit. The insulator pollution index assessment model is expressed by the following formula: ； in: ； ； ； ； ； ； In the formula, For the first The insulator pollution index of the day For the first The pollution index increases over time. For the first The sky's pollution washout index; The air pollution index, The wind speed pollution index, The relative humidity and dirt accumulation index; The concentration of environmental pollution on a daily basis. The average daily wind speed, The daily average relative humidity, This is the insulator shape difference coefficient. This refers to the average daily rainfall. The air pollution coefficient, The wind speed pollution accumulation coefficient, Humidity-based dirt accumulation coefficient; The scouring coefficient is... The percentage of insulator dirt that can be cleaned. The scouring attenuation coefficient; The insulator wetting index model is expressed by the following formula: ； In the formula, The insulator's wettability index; The predicted flashover index is calculated based on the predicted pollution index and the predicted wetness index, and is expressed by the following formula: ； In the formula, is the comprehensive prediction flashover index of the insulator on the th day; The alarm unit performs corresponding alarm actions and issues corresponding alarm signals based on the risk level.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a method for assessing the risk of flashover disaster based on the pollution and wettability index of insulators as described in any one of claims 1 to 5.

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