A composite insulator deterioration type discrimination method, device, storage medium, equipment and program product

Abstract

The application discloses a composite insulator deterioration type discrimination method and device, a storage medium, equipment and a program product. The method comprises the following steps: acquiring the surface temperature data of the axis of the composite insulator; calculating the maximum temperature rise; in response to the maximum temperature rise being greater than a preset first temperature threshold, calculating a characteristic parameter and acquiring the environmental humidity; when the environmental humidity is less than a preset humidity threshold, performing the deterioration type discrimination under low humidity based on the characteristic parameter to obtain the proportion of the surface contamination and the interface defect; and when the environmental humidity is greater than or equal to the preset humidity threshold, performing the deterioration type discrimination under high humidity based on the characteristic parameter to obtain the proportion of the surface contamination, the interface defect and the sheath aging and dampness. The application can meet the requirements of simple, fast and effective on-site insulator detection.

Description

Technical Field

[0001] This invention relates to a method, apparatus, storage medium, equipment, and program product for identifying the deterioration type of composite insulators, belonging to the fields of high voltage and insulation technology, automation, and detection technology. Background Technology

[0002] Composite insulators operate under complex conditions, needing to withstand various voltage and mechanical loads, acid rain, and pollution. Under the combined effect of these factors, composite insulator strings will inevitably deteriorate and age, leading to accidents such as flashover, internal breakdown, and breakage. The early signs of these accidents are often abnormal heating.

[0003] While conducting infrared inspections of composite insulators during on-site maintenance is relatively straightforward, there is currently no definitive answer on how to further investigate and determine the type and extent of defects in overheating insulator strings to decide whether replacement is necessary. In coastal areas with high humidity, even normally operating composite insulators can exhibit temperature increases, although only a minority are truly caused by severe internal defects. Due to the lack of more scientific and effective assessment methods, the current practice of indiscriminately replacing overheating composite insulators results in a waste of human and material resources.

[0004] Currently, scholars both at home and abroad have measured the heating amplitude of composite insulators with abnormal heating, but have not considered the heating type and location.

[0005] The shortcomings of existing technical solutions are that although significant progress has been made in the research on existing methods for detecting defective insulators, they all have their own limitations and cannot meet the requirements for on-site insulator testing. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method, device, storage medium, equipment, and program product for identifying the degradation type of composite insulators, which can meet the requirements of simple, fast, and effective on-site insulator testing. To achieve the above objective, this invention is implemented using the following technical solution:

[0007] In a first aspect, the present invention provides a method for determining the degradation type of composite insulators, comprising:

[0008] Obtain surface temperature data of the central axis of the composite insulator;

[0009] Based on the obtained surface temperature data of the central axis of the composite insulator, the maximum temperature rise is calculated;

[0010] In response to the maximum temperature rise exceeding a preset first temperature threshold, characteristic parameters are calculated and ambient humidity is obtained based on the acquired surface temperature data of the central axis of the composite insulator.

[0011] When the ambient humidity is less than the preset humidity threshold, the degradation type under low humidity is determined based on the calculated characteristic parameters, and the proportion of surface contamination and interface defects is obtained.

[0012] When the ambient humidity is greater than or equal to the preset humidity threshold, the degradation type under high humidity is determined based on the calculated characteristic parameters, and the proportions of surface contamination, interface defects and sheath aging and moisture are obtained.

[0013] In conjunction with the first aspect, optionally, the calculation of the maximum temperature rise includes:

[0014] The obtained surface temperature data of the central axis of the composite insulator was preprocessed using spline interpolation to obtain preprocessed temperature data.

[0015] Based on the preprocessed temperature data, a temperature rise curve is obtained;

[0016] The maximum temperature rise is obtained by calculating the difference between the maximum and minimum temperatures in the temperature rise curve, and is expressed by the following formula:

[0017] dT=T max -T min (1)

[0018] In equation (1), dT is the maximum temperature rise, and T max T represents the maximum temperature in the temperature rise curve. min This represents the minimum temperature in the temperature rise curve.

[0019] In conjunction with the first aspect, optionally, the calculated feature parameters include:

[0020] The obtained surface temperature data of the central axis of the composite insulator was preprocessed using spline interpolation to obtain preprocessed temperature data.

[0021] Based on the preprocessed temperature data, a temperature rise curve is obtained;

[0022] Based on the temperature rise curve, the relative location of the maximum temperature is calculated using the following formula:

[0023]

[0024] In equation (2), P max i represents the relative position of the maximum temperature. max is the serial number of the temperature measurement point corresponding to the maximum temperature in the temperature rise curve, and m is the total number of data points in the temperature rise curve.

[0025] Based on the temperature rise curve, the proportion of the heating length is calculated using the following formula:

[0026]

[0027] In equation (3), L is the proportion of heating length, n is the number of data points in the temperature rise curve whose temperature is greater than the preset temperature threshold, and m is the total number of data points in the temperature rise curve.

[0028] Based on the temperature rise curve, the area of ​​the heating region is calculated using the following formula:

[0029]

[0030] In equation (4), L s T represents the area of ​​the fever zone. i T represents the temperature in the temperature rise curve that exceeds the preset temperature threshold. b The preset temperature threshold;

[0031] Based on the temperature rise curve, the threshold area of ​​the heating region is calculated using the following formula:

[0032] S A =(T max -T b )×n(5)

[0033] In equation (5), S A This is the threshold for the area of ​​the heat-generating region.

[0034] In conjunction with the first aspect, optionally, the deterioration types of the composite insulator include: sheath aging and moisture absorption, surface contamination on the outer surface of the composite insulator, and interface defects at the interface between the core rod and the silicone rubber of the composite insulator.

[0035] In conjunction with the first aspect, optionally, when the ambient humidity is less than a preset humidity threshold, the degradation type determination under low humidity is performed based on calculated feature parameters, including:

[0036] When the ambient humidity is less than the preset humidity threshold, the judgment is made based on the relative position of the maximum temperature value, the maximum temperature rise, and the proportion of the heating length in the characteristic parameters in turn:

[0037] When the relative position of the maximum temperature < the preset ratio, the maximum temperature rise > the preset second temperature threshold and the proportion of heating length > 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0038] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 75% surface contamination and 25% interface defects is obtained.

[0039] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 25% surface contamination and 75% interface defects is obtained.

[0040] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained.

[0041] When the relative position of the maximum temperature is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0042] When the relative position of the maximum temperature value is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0043] When the relative position of the maximum temperature value is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained.

[0044] Where N is the number of large umbrellas in the insulator string.

[0045] In conjunction with the first aspect, optionally, when the ambient humidity is greater than or equal to a preset humidity threshold, the degradation type determination under high humidity is performed based on calculated feature parameters, including:

[0046] When the ambient humidity is greater than or equal to the preset humidity threshold, the judgment is made sequentially based on the relative position of the maximum temperature value, the maximum temperature rise, the proportion of the heating length, and the area of ​​the heating region among the characteristic parameters:

[0047] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is greater than the heating area threshold, the proportions of 4.5% surface contamination, 95.5% interface defects, and 0% sheath aging and moisture are obtained.

[0048] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is less than or equal to the heating area threshold, the following ratios are obtained: 95.5% surface contamination, 4.5% interface defects, and 0% sheath aging and moisture absorption.

[0049] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 20.5% surface contamination, 20.5% interface defects, and 58% sheath aging and moisture are obtained.

[0050] When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating region is greater than the threshold of heating region area, the proportions of 21% surface contamination, 71% interface defects and 8% sheath aging and moisture are obtained.

[0051] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating area is less than the heating area threshold, the proportions of 71% surface contamination, 21% interface defects and 8% sheath aging and moisture are obtained.

[0052] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 0% surface contamination, 0% interface defects, and 100% sheath aging and moisture are obtained.

[0053] When the relative position of the maximum temperature is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination, 100% interface defects and 0% sheath aging and moisture is obtained.

[0054] When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is less than or equal to the preset second temperature threshold, the proportions of 75% surface contamination, 25% interface defects and 0% sheath aging and moisture are obtained.

[0055] Where N is the number of large umbrellas in the insulator string.

[0056] Secondly, this application provides a composite insulator degradation type discrimination device, comprising:

[0057] Acquisition module: Used to acquire surface temperature data of the central axis of the composite insulator;

[0058] First calculation module: used to calculate the maximum temperature rise based on the obtained surface temperature data of the central axis of the composite insulator;

[0059] The second calculation module is used to calculate characteristic parameters and obtain ambient humidity in response to the maximum temperature rise exceeding a preset first temperature threshold.

[0060] The first discrimination module is used to determine the degradation type under low humidity based on the obtained surface temperature data of the central axis of the composite insulator and the calculated characteristic parameters when the ambient humidity is less than the preset humidity threshold, and to obtain the proportion of surface contamination and interface defects.

[0061] The second discrimination module is used to determine the type of degradation under high humidity based on the calculated feature parameters when the ambient humidity is greater than or equal to the preset humidity threshold, and to obtain the proportion of surface contamination, interface defects and sheath aging and moisture.

[0062] Thirdly, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the composite insulator degradation type discrimination method described in the first aspect.

[0063] Fourthly, the present invention provides a computer device, comprising:

[0064] Memory, used to store computer programs / instructions;

[0065] A processor is configured to execute the computer program / instructions to implement the steps of the composite insulator degradation type discrimination method described in the first aspect.

[0066] Fifthly, the present invention provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the steps of the composite insulator degradation type discrimination method described in the first aspect.

[0067] Compared with the prior art, the beneficial effects achieved by the composite insulator degradation type identification method, device, storage medium, equipment, and program product provided in this invention embodiment include:

[0068] In response to a maximum temperature rise exceeding a preset first temperature threshold, this invention calculates characteristic parameters, performs initial discrimination, and determines that the composite insulator has deteriorated. The first temperature threshold of this invention can be adjusted according to the actual situation of on-site infrared thermometry.

[0069] When the ambient humidity is less than a preset humidity threshold, this invention uses calculated characteristic parameters to determine the type of degradation under low humidity, and obtains the ratio of surface contamination to interface defects; this invention provides a method for distinguishing between surface contamination and interface defects under low humidity.

[0070] When the ambient humidity is greater than or equal to a preset humidity threshold, this invention performs a degradation type discrimination based on calculated characteristic parameters to obtain the proportions of surface contamination, interface defects, and sheath aging and moisture absorption under high humidity. This invention provides a method for distinguishing surface contamination, interface defects, and sheath aging and moisture absorption under high humidity.

[0071] This invention not only meets the requirements of simple, fast and effective on-site insulator testing, but also effectively reduces the maintenance cost of infrared inspection of transmission lines, thus providing important technical support for digital inspection, refined inspection and intelligent operation and maintenance, and meeting the urgent needs of State Grid Corporation to reduce costs and increase efficiency. Attached Figure Description

[0072] Figure 1 This is a flowchart illustrating a method for determining the degradation type of composite insulators according to Embodiment 1 of the present invention;

[0073] Figure 2 This is the temperature rise curve of a 110kV composite insulator in the composite insulator degradation type discrimination method provided in Embodiment 1 of the present invention;

[0074] Figure 3 This is the temperature rise curve of a 220kV composite insulator in the composite insulator degradation type discrimination method provided in Embodiment 1 of the present invention;

[0075] Figure 4 This is a schematic diagram illustrating the degradation type discrimination under low humidity in a composite insulator degradation type discrimination method provided in Embodiment 1 of the present invention;

[0076] Figure 5 This is a schematic diagram illustrating the degradation type discrimination under high humidity in a composite insulator degradation type discrimination method provided in Embodiment 1 of the present invention;

[0077] Figure 6 This is a schematic diagram of spline interpolation in an example of a composite insulator degradation type discrimination method provided in Embodiment 2 of the present invention. Detailed Implementation

[0078] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0079] Example 1:

[0080] like Figure 1 As shown, this embodiment provides a method for determining the degradation type of composite insulators, including:

[0081] Obtain surface temperature data of the central axis of the composite insulator;

[0082] Based on the obtained surface temperature data of the central axis of the composite insulator, the maximum temperature rise is calculated;

[0083] In response to a maximum temperature rise exceeding a preset first temperature threshold, characteristic parameters are calculated and ambient humidity is obtained;

[0084] When the ambient humidity is less than the preset humidity threshold, the degradation type under low humidity is determined based on the calculated characteristic parameters, and the proportion of surface contamination and interface defects is obtained.

[0085] When the ambient humidity is greater than or equal to the preset humidity threshold, the degradation type under high humidity is determined based on the calculated characteristic parameters, and the proportions of surface contamination, interface defects and sheath aging and moisture are obtained.

[0086] Specifically, the types of degradation of composite insulators include: aging and moisture absorption of the sheath, surface contamination on the outer surface of the composite insulator, and interface defects at the interface between the core rod and the silicone rubber of the composite insulator.

[0087] The specific steps include:

[0088] Step 1: Obtain surface temperature data of the central axis of the composite insulator.

[0089] Step 2: The obtained surface temperature data of the central axis of the composite insulator is preprocessed using spline interpolation to obtain preprocessed temperature data.

[0090] Due to the influence of the distance between the infrared temperature measuring device and the composite insulator being measured, there may be insufficient linear temperature measurement points from the high-voltage end to the low-voltage end of the insulator, resulting in the inability to obtain clear temperature characteristics. In order to achieve continuous and accurate data, in this embodiment, the data is interpolated by cubic spline interpolation to expand N*10 data points, where N represents the number of data points.

[0091] Specifically, the array of surface temperature data of the central axis of the composite insulator is Y[n], with n data points. The range 1 to N*10 is divided into n points, represented as x. i , i = 1, 2, ..., n, where x1 = 1, x n = N*10. Each x i For a corresponding numerical value Y[i], for x1-x n The solution is obtained using cubic spline interpolation, with the following boundary conditions:

[0092]

[0093] In equation (1), S i (x i+1 S is a cubic spline interpolation function. i ′(x i+1 S is the first derivative of the cubic spline interpolation function. i (x i+1 ) is the second derivative of the cubic spline interpolation function.

[0094] Substituting i = 0, 1, ..., n-1 into the equation and solving sequentially yields the spline function S. i (x), corresponding to [1,x2], [x2,x3]..., [x...]. n-1 There are a total of n-1 independent variable intervals [N*10].

[0095] Substituting x = 1, 2, ..., N*10 into the spline function yields N*10 values, forming Y'[n], where n = 1, 2, ..., N*10.

[0096] Step 3: Calculate the maximum temperature rise based on the obtained surface temperature data of the central axis of the composite insulator.

[0097] Step 3.1: In this embodiment, a temperature rise curve is obtained based on the preprocessed temperature data.

[0098] In this embodiment, based on the preprocessed temperature data, the temperature rise curve obtained through the simulation model is as follows: Figure 2 , Figure 3 As shown, Figure 2 This is the temperature rise curve of a 110kV composite insulator. Figure 3 This is the temperature rise curve of a 220kV composite insulator.

[0099] Step 3.2: Calculate the difference between the maximum and minimum temperatures in the temperature rise curve to obtain the maximum temperature rise, expressed by the following formula:

[0100] dT=T max -T min (2)

[0101] In equation (2), dT is the maximum temperature rise, in °C; T max T represents the maximum temperature in the temperature rise curve. min This represents the minimum temperature in the temperature rise curve.

[0102] In this embodiment, the calculated maximum temperature rise is shown in the table below:

[0103] Table 1. Statistics on Maximum Temperature Rise

[0104]

[0105] Step 4: In response to the maximum temperature rise exceeding the preset first temperature threshold, based on the obtained surface temperature data of the central axis of the composite insulator, calculate the characteristic parameters and obtain the ambient humidity.

[0106] Adjust the first temperature threshold according to the actual situation of on-site infrared temperature measurement.

[0107] In this embodiment, the first temperature threshold of the 110kV line is set to T. min +1℃, the first temperature threshold for a 220kV line is set to T. min +3℃.

[0108] Step 4.1: Based on the temperature rise curve obtained in Step 3.1, calculate the relative position of the maximum temperature using the following formula:

[0109]

[0110] In equation (3), P maxi represents the relative position of the maximum temperature. max is the sequence number of the temperature measurement point corresponding to the maximum temperature in the temperature rise curve, and m is the total number of data points in the temperature rise curve.

[0111] It should be noted that the temperature measurement points are continuous or close to each other.

[0112] For the deterioration type of sheath due to aging and moisture, the relative position of the maximum temperature is generally near the initial temperature measurement point. Tests have shown that the maximum temperature of sheath due to aging and moisture occurs at the hardware and the first large umbrella. When the humidity is greater than 90%, the heating range will extend to the second large umbrella.

[0113] For surface contamination-related degradation, the heating location is commonly near the initial temperature measurement point, and the heating length exhibits point-like heating. Under high humidity, the maximum temperature value is relatively located near the initial temperature measurement point, and the heating length exhibits segment-like heating.

[0114] For different types of interface defects, the relative position of the maximum temperature value is not fixed.

[0115] Step 4.2: Based on the temperature rise curve obtained in Step 3.1, calculate the proportion of heating length using the following formula:

[0116]

[0117] In equation (4), L is the proportion of heating length, n is the number of data points in the temperature rise curve whose temperature is greater than the preset temperature threshold, and m is the total number of data points in the temperature rise curve.

[0118] Step 4.3: Based on the temperature rise curve obtained in Step 3.1, calculate the area of ​​the heating region using the following formula:

[0119]

[0120] In equation (5), L s T represents the area of ​​the fever zone. i T represents the temperature in the temperature rise curve that exceeds the preset temperature threshold. b This is the preset temperature threshold.

[0121] Step 4.4: Based on the temperature rise curve obtained in Step 3.1, calculate the threshold area of ​​the heating region using the following formula:

[0122] S A =(T max -T b )×n(6)

[0123] In equation (6), S A This is the threshold for the area of ​​the heat-generating region.

[0124] Step 5: Based on the relationship between the environment and the preset humidity threshold, and based on the calculated feature parameters, determine the degradation type under low humidity or high humidity.

[0125] Step 5.1: When the ambient humidity is less than the preset humidity threshold, based on the feature parameters calculated in step 4, the degradation type under low humidity is determined to obtain the ratio of surface contamination and interface defects.

[0126] Under low humidity conditions, surface contamination and interface defects can be accurately distinguished by the proportion of heating length. A threshold of 23% (3 / N) for the heating length proportion is set at 110kV, and 13% (3 / N) at 220kV. Under low humidity, the heating length of surface contamination exhibits point heating, with a length much shorter than the length of the three large umbrella-shaped panels of the composite insulator. Because the heating length proportion characteristics of interface defects are similar under both dry and high humidity conditions, the length of the interface defect is directly proportional to the heating length proportion. Under low humidity conditions, using the heating length proportion characteristic as the primary criterion, interface defects with a length greater than 50mm can be effectively identified.

[0127] Under low humidity conditions, surface contamination and interface defects can be accurately distinguished by the proportion of heating length. A threshold of 23% (3 / N) for the heating length proportion is set at 110kV, and 13% (3 / N) at 220kV. Under low humidity, the heating length of surface contamination exhibits point heating, with a length much shorter than the length of the three large umbrella-shaped panels of the composite insulator. Because the heating length proportion characteristics of interface defects are similar under both dry and high humidity conditions, the length of the interface defect is directly proportional to the heating length proportion. Under low humidity conditions, using the heating length proportion characteristic as the primary criterion, interface defects with a length greater than 50mm can be effectively identified.

[0128] like Figure 4 As shown, the judgment is made based on the relative position of the maximum temperature value, the maximum temperature rise, and the proportion of the heating length in the characteristic parameters.

[0129] Step 5.1.1: Determine the relative position of the maximum temperature value to obtain the initial proportion of surface contamination and interface defects.

[0130] Step 5.1.2: Determine the maximum temperature rise, update the initial ratio of surface contamination and interface defects based on the determination result, and obtain the adjustment ratio of surface contamination and interface defects.

[0131] Step 5.1.3: Determine the proportion of heating length, and update the adjustment ratio of surface contamination and interface defects based on the determination result to obtain the final ratio of surface contamination and interface defects.

[0132] The final proportions are as follows:

[0133] When the relative position of the maximum temperature < the preset ratio, the maximum temperature rise > the preset second temperature threshold and the proportion of heating length > 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0134] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 75% surface contamination and 25% interface defects is obtained.

[0135] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 25% surface contamination and 75% interface defects is obtained.

[0136] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained.

[0137] When the relative position of the maximum temperature is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0138] When the relative position of the maximum temperature value is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained.

[0139] When the relative position of the maximum temperature is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained.

[0140] Where N is the number of large umbrellas in the insulator string.

[0141] In this embodiment, the preset ratio is 10%. The second temperature threshold for the 110kV line is set to T. min +3℃, the second temperature threshold for a 220kV line is set to T. min +5℃.

[0142] Step 5.2: When the ambient humidity is greater than or equal to the preset humidity threshold, based on the feature parameters calculated in step 4, the degradation type under high humidity is determined to obtain the proportion of surface contamination, interface defects and sheath aging and moisture.

[0143] Under high humidity, it is possible to distinguish between sheath aging and moisture damage; a heating length ratio of <3 / N can be considered sheath aging and moisture damage. It is not possible to accurately distinguish between surface contamination and interface defects alone, as both types of degradation have similar heating characteristics.

[0144] Introducing the high-voltage end's characteristic heating region area Ls, the approximate proportion of heating length L of high-voltage end interface defects and surface contamination, and the relative position P of the maximum temperature. max Both are located at the high-pressure end, but their heating curves are inconsistent. The heating curve at the high-pressure end due to interface defects appears as a straight line approximately parallel to the x-axis. Therefore, the two types of degradation can be distinguished by calculating the area of ​​the heating region.

[0145] Specifically, using the area characteristics of the heated region as the main criterion, defects with a length of 200mm or more can be effectively identified as interface defects.

[0146] like Figure 5 As shown, the judgment is made based on the relative position of the maximum temperature value, the maximum temperature rise, the proportion of the heating length, and the area of ​​the heating region in turn among the characteristic parameters.

[0147] Step 5.1.1: Determine the relative position of the maximum temperature to obtain the initial proportion of surface contamination, interface defects, and sheath aging and moisture.

[0148] Step 5.1.2: Determine the maximum temperature rise, and update the initial proportions of surface contamination, interface defects, and sheath aging and moisture based on the determination result, to obtain the first adjustment proportions of surface contamination, interface defects, and sheath aging and moisture.

[0149] Step 5.1.3: Determine the proportion of heating length, and update the first adjustment ratio of surface contamination, interface defects and sheath aging and moisture based on the determination result, to obtain the second adjustment ratio of surface contamination, interface defects and sheath aging and moisture.

[0150] Step 5.1.4: Determine the area of ​​the heating zone, and update the second adjustment ratio of surface contamination, interface defects, and sheath aging and moisture based on the determination result, to obtain the final ratio of surface contamination, interface defects, and sheath aging and moisture.

[0151] The final proportions are as follows:

[0152] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is greater than the heating area threshold, the proportions of 4.5% surface contamination, 95.5% interface defects, and 0% sheath aging and moisture are obtained.

[0153] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is less than or equal to the heating area threshold, the following ratios are obtained: 95.5% surface contamination, 4.5% interface defects, and 0% sheath aging and moisture absorption.

[0154] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 20.5% surface contamination, 20.5% interface defects, and 58% sheath aging and moisture are obtained.

[0155] When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating region is greater than the threshold of heating region area, the proportions of 21% surface contamination, 71% interface defects and 8% sheath aging and moisture are obtained.

[0156] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating area is less than the heating area threshold, the proportions of 71% surface contamination, 21% interface defects and 8% sheath aging and moisture are obtained.

[0157] When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 0% surface contamination, 0% interface defects, and 100% sheath aging and moisture are obtained.

[0158] When the relative position of the maximum temperature is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination, 100% interface defects and 0% sheath aging and moisture is obtained.

[0159] When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is less than or equal to the preset second temperature threshold, the proportions of 75% surface contamination, 25% interface defects and 0% sheath aging and moisture are obtained.

[0160] Where N is the number of large umbrellas in the insulator string.

[0161] In this embodiment, the preset ratio is 10%. The second temperature threshold for the 110kV line is set to T. min +3℃, the second temperature threshold for a 220kV line is set to T. min +5℃.

[0162] It should be noted that the numbering of steps 5.1 and 5.2 is only used to distinguish between degradation type identification under low humidity and degradation type identification under high humidity, and there is no order between them.

[0163] This invention provides a method for distinguishing between surface contamination and interface defects under low humidity conditions, and a method for distinguishing between surface contamination, interface defects, and sheath aging and moisture damage under high humidity conditions.

[0164] Example 2:

[0165] This embodiment conducts a degradation test on 110kV composite insulators and uses a degradation type discrimination method for composite insulators provided in Embodiment 1 to determine the degradation type.

[0166] In this embodiment, the composite insulator is model FZXBW-110 / 70-2, and the insulator skirt consists of 13 large skirts and 12 small skirts.

[0167] In this embodiment, an infrared thermometer is used to collect surface temperature data of the central axis of the composite insulator. The emissivity of the infrared thermometer is set to 0.95, the acquisition distance is set to 4m, the ambient humidity is set to less than 50%, and the ambient temperature is set according to the temperature during the test.

[0168] It should be noted that ambient temperature has no effect on the heating characteristics and does not affect the identification of the type of degradation.

[0169] The degradation test of 110kV composite insulators is divided into five comparative tests: ① normal, ② surface contaminated, ③ surface with iron wire, ④ surface with iron wire and contaminated, and ⑤ embedded with iron wire.

[0170] Multiple infrared temperature measurements were performed at different time intervals for each case to increase the accuracy of the experiment, verify the repeatability of the results, and eliminate the influence of errors on the heating characteristics.

[0171] Using ① as the control group, the heating characteristics of the test samples under normal conditions were obtained, as shown in Table 2.

[0172] Table 2. Statistics on the heating characteristics of test samples under normal conditions

[0173]

[0174]

[0175] ② The surface contamination test group was used to determine the impact of artificial contamination on the maximum temperature rise. The heating curve is similar to that of simulated natural contamination. The heating characteristics of the test samples under the surface contamination condition in ② are shown in Table 3.

[0176] Table 3. Statistics on the heat generation characteristics of test samples under surface contamination conditions.

[0177] Test sample number Ⅱ-1 Ⅱ-2 Ⅱ-3 Maximum temperature 8.5 7.9 8.5 Minimum temperature 6.7 6.3 7.2 Maximum temperature rise 1.8 1.6 1.3 Relative position of maximum temperature 98.54％ 0.20％ 0.20％ heating length percentage 10.19％ 6.85％ 2.74％

[0178] ③ The surface wire stringing test group was used to determine the impact of damaged surface skirts on the maximum temperature rise and the proportion of heating length, and to clarify that the method for judging the degradation type in this test group would not be misjudged as an interface defect. The heating characteristics of the test samples under the surface wire stringing condition in ③ are shown in Table 4.

[0179] Table 4. Statistical analysis of the heating characteristics of the test samples with iron wires strung on the surface.

[0180]

[0181]

[0182] ④ The surface wire strung and contaminated test group was used to determine the impact of surface damage and contamination on the maximum temperature rise and the proportion of heating length, and to clarify that the method for judging the degradation type in this test group would not be misjudged as an interface defect. The heating characteristics of the test samples under the condition of surface wire strung and contaminated in ④ are shown in Table 5.

[0183] Table 5. Statistical analysis of the heating characteristics of test samples under the condition of surface wire strung together and coated with dirt.

[0184] Test sample number Ⅳ-1 Ⅳ-2 Ⅳ-3 Maximum temperature 12 11.7 11.1 Minimum temperature 10.4 10.5 9.8 Maximum temperature rise 1.6 1.2 1.3 Relative position of maximum temperature 0.19％ 2.49％ 5.39％ heating length percentage 20.53％ 7.69％ 8.98％

[0185] ⑤ The wire-embedded test group was used to determine the influence of artificially simulated interface defects on the heating characteristics. The heating curve was similar to that of the simulated interface defect, and the method for clearly identifying the degradation type could correctly identify the interface defect. The heating characteristics of the test samples under the condition of wire embedding in ⑤ are shown in Table 6.

[0186] Table 6. Statistical analysis of the heating characteristics of the test samples with embedded iron wire.

[0187]

[0188]

[0189] After the surface temperature data of the central axis of the composite insulator was collected, spline interpolation was used to interpolate the values, such as... Figure 6 As shown.

[0190] Taking Table 6 as an example, based on the interpolated array, the maximum temperature rise is calculated, in response to the maximum temperature rise exceeding a preset first temperature threshold (T). min +1℃), calculate the characteristic parameters recorded in step 4 of Example 1.

[0191] When the ambient humidity is less than the preset humidity threshold (50%), the degradation type under low humidity is determined, and the proportion of 0% surface contamination and 100% interface defects is obtained.

[0192] Based on the above data, multiple judgments were made, resulting in Table 7.

[0193] Table 7. Accuracy of Experimental Verification

[0194] Sample status Number of images Judgment results Accuracy of discrimination method normal 26 normal 96.15％ Surface coating 7 Surface dirt 85.71％ Surface strung with iron wire 12 Surface dirt 91.67％ Surface coating + surface wire 16 Surface dirt 81.25％ Embedded wire 28 Interface defects 100.00％ total 89 / 93.26％

[0195] As shown in Table 7, the composite insulator degradation type identification method provided in Example 1 can effectively identify the degradation type of composite insulators with an accuracy rate of up to 93.26%.

[0196] In summary, the composite insulator degradation type identification method provided in Example 1 not only meets the requirements of simple, fast and effective on-site insulator detection, but also effectively reduces the maintenance cost of infrared inspection of transmission lines, thus providing important technical support for digital inspection, refined inspection and intelligent operation and maintenance, and meeting the urgent needs of State Grid Corporation for cost reduction and efficiency improvement.

[0197] Example 3:

[0198] Based on the same inventive concept as Embodiment 1, this embodiment provides a composite insulator degradation type discrimination device, including:

[0199] Acquisition module: Used to acquire surface temperature data of the central axis of the composite insulator;

[0200] First calculation module: used to calculate the maximum temperature rise based on the obtained surface temperature data of the central axis of the composite insulator;

[0201] The second calculation module is used to calculate characteristic parameters and obtain ambient humidity based on the acquired surface temperature data of the central axis of the composite insulator in response to the maximum temperature rise exceeding the preset first temperature threshold.

[0202] The first discrimination module is used to determine the degradation type under low humidity based on the calculated feature parameters when the ambient humidity is less than the preset humidity threshold, and to obtain the ratio of surface contamination and interface defects.

[0203] The second discrimination module is used to determine the type of degradation under high humidity based on the calculated feature parameters when the ambient humidity is greater than or equal to the preset humidity threshold, and to obtain the proportion of surface contamination, interface defects and sheath aging and moisture.

[0204] Example 4:

[0205] Based on the same inventive concept as other embodiments, this embodiment provides a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implements the steps of the composite insulator degradation type discrimination method described in Embodiment 1.

[0206] Example 5

[0207] Based on the same inventive concept as other embodiments, this embodiment provides a computer device, including:

[0208] Memory, used to store computer programs / instructions;

[0209] A processor is used to execute the computer program / instructions to implement the steps of the composite insulator degradation type discrimination method described in Embodiment 1.

[0210] Example 6

[0211] Based on the same inventive concept as other embodiments, this embodiment provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the composite insulator degradation type discrimination method described in Embodiment 1.

[0212] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention 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.

[0213] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0214] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0215] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0216] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for identifying the degradation type of composite insulators, characterized in that, include: Obtain surface temperature data of the central axis of the composite insulator; Based on the obtained surface temperature data of the central axis of the composite insulator, the maximum temperature rise is calculated; In response to the maximum temperature rise exceeding a preset first temperature threshold, characteristic parameters are calculated and ambient humidity is acquired based on the obtained surface temperature data of the composite insulator's central axis. The calculated characteristic parameters include: the relative position of the maximum temperature value, the maximum temperature rise, the proportion of heating length, and the area of ​​the heating region. Based on the temperature rise curve, the area of ​​the heating region is calculated using the following formula: （4） In equation (4), L s The area of ​​the fever zone. n This represents the number of data points in the temperature rise curve whose temperature exceeds a preset temperature threshold. T i The temperature in the temperature rise curve that is greater than the preset temperature threshold. T b The preset temperature threshold; Based on the temperature rise curve, the threshold area of ​​the heating region is calculated using the following formula: （5） In equation (5), T max This represents the maximum temperature in the temperature rise curve. S A The threshold for the area of ​​the fever zone; When the ambient humidity is lower than the preset humidity threshold, the degradation type under low humidity is determined based on the calculated characteristic parameters, resulting in the proportion of surface contamination and interface defects. This includes: judging based on the relative position of the maximum temperature value, the maximum temperature rise, and the proportion of heating length in the characteristic parameters. When the relative position of the maximum temperature < the preset ratio, the maximum temperature rise > the preset second temperature threshold and the proportion of heating length > 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 75% surface contamination and 25% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the proportion of 25% surface contamination and 75% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained. When the relative position of the maximum temperature value is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature value is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained. When the ambient humidity is greater than or equal to a preset humidity threshold, the degradation type under high humidity is determined based on the calculated characteristic parameters, resulting in the proportions of surface contamination, interface defects, and sheath aging and moisture absorption. This includes: judging based on the relative position of the maximum temperature value, the maximum temperature rise, the proportion of heating length, and the area of ​​the heating region in sequence among the characteristic parameters. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is greater than the heating area threshold, the proportions of 4.5% surface contamination, 95.5% interface defects, and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the proportion of heating length is greater than 3 / N, and the area of ​​the heating area is less than or equal to the heating area threshold, the proportions of 95.5% surface contamination, 4.5% interface defects, and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the proportions of surface contamination, interface defects, and sheath aging and moisture absorption are obtained. When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating region is greater than the threshold of heating region area, the proportions of 21% surface contamination, 71% interface defects and 8% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating area is less than the heating area threshold, the proportions of 71% surface contamination, 21% interface defects and 8% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 0% surface contamination, 0% interface defects, and 100% sheath aging and moisture are obtained. When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is greater than the preset second temperature threshold, the proportions of 0% surface contamination, 100% interface defects and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is less than or equal to the preset second temperature threshold, the proportions of 75% surface contamination, 25% interface defects and 0% sheath aging and moisture are obtained. Where N is the number of large umbrellas in the insulator string.

2. The method for determining the degradation type of composite insulators according to claim 1, characterized in that, The calculation of the maximum temperature rise includes: The obtained surface temperature data of the central axis of the composite insulator was preprocessed using spline interpolation to obtain preprocessed temperature data. Based on the preprocessed temperature data, a temperature rise curve is obtained; The maximum temperature rise is obtained by calculating the difference between the maximum and minimum temperatures in the temperature rise curve, and is expressed by the following formula: （1） In equation (1), dT For the maximum temperature rise, T max This represents the maximum temperature in the temperature rise curve. T min This represents the minimum temperature in the temperature rise curve.

3. The method for determining the degradation type of composite insulators according to claim 1, characterized in that, The calculated feature parameters include: The obtained surface temperature data of the central axis of the composite insulator was preprocessed using spline interpolation to obtain preprocessed temperature data. Based on the preprocessed temperature data, a temperature rise curve is obtained; Based on the temperature rise curve, the relative location of the maximum temperature is calculated using the following formula: （2） In equation (2), P max This represents the relative position of the maximum temperature. i max This refers to the temperature measurement point number corresponding to the maximum temperature value in the temperature rise curve. m This represents the total number of data points on the temperature rise curve. Based on the temperature rise curve, the proportion of the heating length is calculated using the following formula: （3） In equation (3), L The percentage of heating length. n This represents the number of data points in the temperature rise curve whose temperature exceeds a preset temperature threshold. m This represents the total number of data points in the temperature rise curve. Based on the temperature rise curve, the area of ​​the heating region is calculated using the following formula: （4） In equation (4), L s The area of ​​the fever zone. T i The temperature in the temperature rise curve that is greater than the preset temperature threshold. T b The preset temperature threshold; Based on the temperature rise curve, the threshold area of ​​the heating region is calculated using the following formula: （5） In equation (5), S A This is the threshold for the area of ​​the heat-generating region.

4. The method for determining the degradation type of composite insulators according to claim 1, characterized in that, The types of degradation of the composite insulator include: sheath aging and moisture absorption, surface contamination on the outer surface of the composite insulator, and interface defects at the interface between the core rod and the silicone rubber of the composite insulator.

5. A device for determining the degradation type of composite insulators, characterized in that, include: Acquisition module: Used to acquire surface temperature data of the central axis of the composite insulator; First calculation module: used to calculate the maximum temperature rise based on the obtained surface temperature data of the central axis of the composite insulator; The second calculation module is used to calculate characteristic parameters and obtain ambient humidity based on the acquired surface temperature data of the central axis of the composite insulator in response to the maximum temperature rise exceeding a preset first temperature threshold. The calculated characteristic parameters include: the relative position of the maximum temperature value, the maximum temperature rise, the proportion of the heating length, and the area of ​​the heating region. The first discrimination module is used to determine the degradation type under low humidity based on the calculated feature parameters when the ambient humidity is less than the preset humidity threshold, and to obtain the ratio of surface contamination and interface defects. It includes: judging based on the relative position of the maximum temperature value, the maximum temperature rise, and the proportion of heating length in the feature parameters in sequence: when the relative position of the maximum temperature value is < the preset ratio, the maximum temperature rise is > the preset second temperature threshold, and the proportion of heating length is > 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 75% surface contamination and 25% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the proportion of 25% surface contamination and 75% interface defects is obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained. When the relative position of the maximum temperature value is greater than or equal to the preset ratio and the maximum temperature rise is greater than the preset second temperature threshold, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature value is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is greater than 3 / N, the ratio of 0% surface contamination and 100% interface defects is obtained. When the relative position of the maximum temperature is greater than or equal to the preset ratio, the maximum temperature rise is less than or equal to the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the ratio of 100% surface contamination and 0% interface defects is obtained. The second discrimination module is used to determine the type of degradation under high humidity when the ambient humidity is greater than or equal to a preset humidity threshold, based on calculated feature parameters, and to obtain the proportions of surface contamination, interface defects, and sheath aging and moisture absorption; including: judging based on the relative position of the maximum temperature value, the maximum temperature rise, the proportion of heating length, and the area of ​​the heating region in sequence from the feature parameters: When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the heating length ratio is greater than 3 / N, and the heating area is greater than the heating area threshold, the proportions of 4.5% surface contamination, 95.5% interface defects, and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, the proportion of heating length is greater than 3 / N, and the area of ​​the heating area is less than or equal to the heating area threshold, the proportions of 95.5% surface contamination, 4.5% interface defects, and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is greater than the preset second temperature threshold, and the proportion of heating length is less than or equal to 3 / N, the proportions of surface contamination, interface defects, and sheath aging and moisture absorption are obtained. When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating region is greater than the threshold of heating region area, the proportions of 21% surface contamination, 71% interface defects and 8% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset proportion, the maximum temperature rise is less than the preset second temperature threshold, the proportion of heating length is greater than 3 / N and the area of ​​heating area is less than the heating area threshold, the proportions of 71% surface contamination, 21% interface defects and 8% sheath aging and moisture are obtained. When the relative position of the maximum temperature is less than the preset ratio, the maximum temperature rise is less than the preset second temperature threshold, and the proportion of heating length is less than 3 / N, the proportions of 0% surface contamination, 0% interface defects, and 100% sheath aging and moisture are obtained. When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is greater than the preset second temperature threshold, the proportions of 0% surface contamination, 100% interface defects and 0% sheath aging and moisture are obtained. When the relative position of the maximum temperature is greater than or equal to the preset proportion and the maximum temperature rise is less than or equal to the preset second temperature threshold, the proportions of 75% surface contamination, 25% interface defects and 0% sheath aging and moisture are obtained. Where N is the number of large umbrellas in the insulator string.

6. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the composite insulator degradation type discrimination method according to any one of claims 1-4.

7. A computer device, characterized in that, include: Memory, used to store computer programs / instructions; A processor is configured to execute the computer program / instructions to implement the steps of the composite insulator degradation type discrimination method according to any one of claims 1-4.

8. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the composite insulator degradation type discrimination method according to any one of claims 1-4.

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