Composite insulator aging environment parameter information processing method, system and device

Abstract

The invention relates to a composite insulator aging environment parameter information processing method, system and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring aging environment parameter information corresponding to a to-be-analyzed composite insulator; determining feature vectors corresponding to the aging environment parameter information; inputting the feature vectors corresponding to the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain aging feature parameter information corresponding to the aging environment parameter information; determining target aging information corresponding to the to-be-analyzed composite insulator according to the aging characteristic parameter information; constructing a corresponding relation between the aging environment parameters and target aging parameters according to the aging environment parameter information and the target aging information; and determining target aging environment parameter information corresponding to the to-be-analyzed composite insulator according to the corresponding relation. By adopting the method, the efficiency of determining the aging environment parameter information of the composite insulator can be improved.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and in particular to a composite insulator aging environmental parameter information processing method, system, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] At present, in order to ensure the safe operation of the power grid, it is very important to determine the aging environmental parameter information of composite insulators.

[0003] In the conventional technology, in the process of determining the aging environmental parameter information of composite insulators, manual on-site monitoring is generally adopted; however, this method easily consumes a lot of time and manpower, resulting in low efficiency in determining the aging environmental parameter information of composite insulators. Summary of the invention

[0004] Based on this, it is necessary to provide a composite insulator aging environmental parameter information processing method, system, device, computer equipment, computer-readable storage medium and computer program product that can improve the efficiency of determining composite insulator aging environmental parameter information in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a composite insulator aging environmental parameter information processing method, comprising:

[0006] Obtaining aging environmental parameter information corresponding to the composite insulator to be analyzed;

[0007] Performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information;

[0008] Inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information;

[0009] Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information;

[0010] According to each of the aging environment parameter information and the target aging information, constructing a corresponding relationship between the aging environment parameter and the target aging parameter;

[0011] According to the corresponding relationship, target aging environment parameter information corresponding to the composite insulator to be analyzed is determined.

[0012] In one embodiment, the obtaining of aging environment parameter information corresponding to the composite insulator to be analyzed includes:

[0013] Obtain altitude information corresponding to the composite insulator to be analyzed;

[0014] Determining an aging environment parameter range corresponding to the altitude information;

[0015] Aging environment parameter information within the aging environment parameter range is obtained as aging environment parameter information corresponding to the composite insulator to be analyzed.

[0016] In one embodiment, determining the target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information includes:

[0017] Preprocessing each of the aging characteristic parameter information to obtain each of the preprocessed aging characteristic parameter information;

[0018] The pre-processed aging characteristic parameter information is fused to obtain fused aging characteristic parameter information as target aging information corresponding to the composite insulator to be analyzed.

[0019] In one embodiment, the performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information includes:

[0020] Determine the data type of each of the aging environment parameter information;

[0021] Determine the feature extraction model corresponding to the data type of each aging environment parameter information according to the corresponding relationship between the data type and the feature extraction model;

[0022] Each of the aging environment parameter information is input into a feature extraction model corresponding to the data type of each of the aging environment parameter information to perform feature extraction processing, so as to obtain a feature vector corresponding to each of the aging environment parameter information.

[0023] In one embodiment, the pre-trained aging characteristic parameter prediction model is trained in the following manner:

[0024] Obtain sample aging environmental parameter information corresponding to the sample composite insulator;

[0025] Performing feature extraction processing on the aging environment parameter information of each sample to obtain a feature vector corresponding to the aging environment parameter information of each sample;

[0026] Inputting the feature vector corresponding to each sample aging environment parameter information into the aging feature parameter prediction model to be trained to obtain the predicted aging feature parameter information corresponding to each sample aging environment parameter information;

[0027] According to the difference between the predicted aging characteristic parameter information corresponding to each of the sample aging environment parameter information and the actual aging characteristic parameter information, the aging characteristic parameter prediction model to be trained is iteratively trained to obtain the pre-trained aging characteristic parameter prediction model.

[0028] In one embodiment, after determining the target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information, the method further includes:

[0029] generating a target maintenance instruction corresponding to the composite insulator to be analyzed according to the target aging information corresponding to the composite insulator to be analyzed;

[0030] According to the target maintenance instruction, maintenance processing is performed on the composite insulator to be analyzed.

[0031] In a second aspect, the present application also provides a composite insulator aging environmental parameter information processing system, characterized in that the system includes a chassis body, an experimental cabin, a human-computer interaction device, a gas circulation unit, an exhaust negative pressure unit, an irradiation unit, and a humidification and water supply unit;

[0032] The chassis body is formed by splicing sheet metal parts; the middle layer of the chassis body is filled with high-density glass fiber wool; the chassis body also includes an insulation door, the insulation door adopts a double-layer silicone rubber sealing strip, and the insulation door is provided with a multi-layer hollow tempered glass observation window;

[0033] The experimental cabin is provided with ventilation holes and sensor installation holes, and the experimental cabin is equipped with a parallel sample rack;

[0034] The human-computer interaction device is a true color touch screen panel;

[0035] The gas circulation unit comprises a heating device, a temperature sensor, a circulation fan and a temperature control unit; the heating device is connected to the temperature control unit, and the temperature control unit is connected to the temperature sensor;

[0036] The vacuum negative pressure unit comprises a vacuum negative pressure device, a pressure sensor, a pressure control unit and a release valve; the vacuum negative pressure device is connected to the pressure control unit, and the pressure control unit is connected to the pressure sensor;

[0037] The irradiation unit includes a UV irradiation lamp, a quartz filter, an irradiation intensity sensor and an irradiation control unit; the UV irradiation lamp is connected to the irradiation control unit, and the irradiation control unit is connected to the irradiation intensity sensor;

[0038] The humidification and water supply unit includes a humidification device, a water tank, a humidity sensor and a humidity control unit; the water tank is connected to the humidification device, the humidification device is connected to the humidity control unit, and the humidity control unit is connected to the humidity sensor;

[0039] The system also includes a data processing device for executing the composite insulator aging environment parameter information processing method.

[0040] In a third aspect, the present application also provides a composite insulator aging environmental parameter information processing device, comprising:

[0041] An information acquisition module is used to obtain aging environment parameter information corresponding to the composite insulator to be analyzed;

[0042] A feature extraction module, used to perform feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information;

[0043] An information prediction module, used for inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information;

[0044] An information determination module, used to determine the target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information;

[0045] A relationship building module, used to build a corresponding relationship between the aging environment parameter and the target aging parameter according to each of the aging environment parameter information and the target aging information;

[0046] The target determination module is used to determine the target aging environment parameter information corresponding to the composite insulator to be analyzed according to the corresponding relationship.

[0047] In a fourth aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0048] Obtaining aging environmental parameter information corresponding to the composite insulator to be analyzed;

[0049] Performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information;

[0050] Inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information;

[0051] Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information;

[0052] According to each of the aging environment parameter information and the target aging information, constructing a corresponding relationship between the aging environment parameter and the target aging parameter;

[0053] According to the corresponding relationship, target aging environment parameter information corresponding to the composite insulator to be analyzed is determined.

[0054] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0055] Obtaining aging environmental parameter information corresponding to the composite insulator to be analyzed;

[0056] Performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information;

[0057] Inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information;

[0058] Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information;

[0059] According to each of the aging environment parameter information and the target aging information, constructing a corresponding relationship between the aging environment parameter and the target aging parameter;

[0060] According to the corresponding relationship, target aging environment parameter information corresponding to the composite insulator to be analyzed is determined.

[0061] In a sixth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0062] Obtaining aging environmental parameter information corresponding to the composite insulator to be analyzed;

[0063] Performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information;

[0064] Inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information;

[0065] Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information;

[0066] According to each of the aging environment parameter information and the target aging information, constructing a corresponding relationship between the aging environment parameter and the target aging parameter;

[0067] According to the corresponding relationship, target aging environment parameter information corresponding to the composite insulator to be analyzed is determined.

[0068] The above-mentioned composite insulator aging environment parameter information processing method, system, device, computer equipment, storage medium and computer program product first obtain the aging environment parameter information corresponding to the composite insulator to be analyzed, and then perform feature extraction processing on each aging environment parameter information to obtain the feature vector corresponding to each aging environment parameter information. Then, the feature vector corresponding to each aging environment parameter information is input into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each aging environment parameter information. Then, according to each aging feature parameter information, the target aging information corresponding to the composite insulator to be analyzed is determined. Finally, according to each aging environment parameter information and the target aging information, the corresponding relationship between the aging environment parameter and the target aging parameter is constructed, and according to the corresponding relationship, the target aging environment parameter information corresponding to the composite insulator to be analyzed is determined. In this way, in the process of determining the aging environmental parameter information of the composite insulator, through detailed analysis and feature extraction of the aging environmental parameters, the target aging information corresponding to the composite insulator to be analyzed can be determined more accurately, which is conducive to the accurate evaluation of the aging condition of the composite insulator to be analyzed; secondly, according to the constructed correspondence, the target aging environmental parameter information is obtained, which is conducive to the formulation of more targeted maintenance strategies, improving the maintenance efficiency of the composite insulator to be analyzed and reducing maintenance costs; moreover, the entire process does not require human intervention, avoiding the defect of low efficiency in determining the aging environmental parameter information of the composite insulator due to the use of manual on-site monitoring, which consumes a lot of time and manpower, thereby improving the efficiency of determining the aging environmental parameter information of the composite insulator. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0070] Figure 1 A schematic diagram of a process of processing composite insulator aging environment parameter information in one embodiment;

[0071] Figure 2A schematic flow chart of the steps of obtaining aging environment parameter information corresponding to a composite insulator to be analyzed in one embodiment;

[0072] Figure 3 A schematic diagram of a flow chart of a composite insulator aging environment parameter information processing method in another embodiment;

[0073] Figure 4 A schematic flow chart of the steps of a multi-factor coupled accelerated aging test method for composite insulators in one embodiment;

[0074] Figure 5 It is a cross-sectional schematic diagram of a multi-environment coupling test device in a vertical direction of a box door in one embodiment;

[0075] Figure 6 It is a cross-sectional schematic diagram of a multi-environment coupling test device parallel to the door direction in one embodiment;

[0076] Figure 7 is a structural block diagram of a composite insulator aging environmental parameter information processing device in one embodiment;

[0077] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0078] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0079] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0080] In an exemplary embodiment, Figure 1 As shown, a composite insulator aging environmental parameter information processing method is provided. This embodiment uses the method applied to a server as an example for illustration; it can be understood that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be but is not limited to various personal computers, laptops, smart phones and tablet computers; the server can be implemented as an independent server or a server cluster composed of multiple servers, such as a network server. In this embodiment, the method includes the following steps:

[0081] Step S101, obtaining aging environment parameter information corresponding to the composite insulator to be analyzed.

[0082] Among them, the composite insulator to be analyzed is a composite insulator that needs to be analyzed.

[0083] The aging environment parameter information is used to characterize the specific values ​​of the high-altitude environmental characteristics corresponding to the high-altitude extreme environmental climate where the composite insulator to be analyzed is located. The high-altitude environmental characteristics include low air pressure, strong ultraviolet radiation, large temperature difference and high humidity. It should be noted that the aging environment parameter information is determined based on the climatic environment conditions standard for electrical products at different altitudes GB / T (national standard / recommendation) 14597-2010.

[0084] Exemplarily, the server obtains altitude information of the composite insulator to be analyzed; then, the server determines aging environment parameter information corresponding to the altitude information of the composite insulator to be analyzed based on the altitude information of the composite insulator to be analyzed as the aging environment parameter information corresponding to the composite insulator to be analyzed.

[0085] Step S102: performing feature extraction processing on each aging environment parameter information to obtain a feature vector corresponding to each aging environment parameter information.

[0086] The feature extraction process refers to the process of converting each aging environment parameter information into a feature vector corresponding to each aging environment parameter information.

[0087] The feature vector refers to the characterization vector corresponding to each aging environment parameter information.

[0088] Exemplarily, the server inputs each aging environment parameter information into a feature extraction model corresponding to each aging environment parameter information to perform feature extraction processing, and obtains a feature vector corresponding to each aging environment parameter information.

[0089] Step S103: input the feature vectors corresponding to each aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each aging environment parameter information.

[0090] The aging characteristic parameter prediction model refers to a network model that can obtain aging characteristic parameter information corresponding to each aging environment parameter information by using the characteristic vector corresponding to each aging environment parameter information.

[0091] The aging characteristic parameter information refers to the information used to evaluate the aging degree of the composite insulator to be analyzed, including leakage current, volume resistivity, surface hydrophobicity and tensile strength.

[0092] Exemplarily, the server inputs the feature vector corresponding to each aging environment parameter information into a pre-trained aging feature parameter prediction model, and obtains the aging feature parameter information corresponding to the feature vector of each aging environment parameter information through the pre-trained aging feature parameter prediction model as the aging feature parameter information corresponding to each aging environment parameter information.

[0093] Step S104: determining target aging information corresponding to the composite insulator to be analyzed according to each aging characteristic parameter information.

[0094] The target aging information is used to characterize the comprehensive aging degree of the composite insulator to be analyzed. In actual scenarios, the target aging information refers to the overall desirability (OD).

[0095] Exemplarily, the server obtains the correspondence between each aging characteristic parameter information and the target aging information; then, the server determines the target aging information corresponding to each aging characteristic parameter information of the composite insulator to be analyzed according to the correspondence between each aging characteristic parameter information and the target aging information, as the target aging information corresponding to the composite insulator to be analyzed.

[0096] Step S105: constructing a correspondence between the aging environment parameters and the target aging parameters according to the aging environment parameter information and the target aging information.

[0097] The corresponding relationship between the aging environment parameters and the target aging parameters is used to characterize the association information between each aging environment parameter information and the target aging parameter.

[0098] For example, the server uses the RSM (Response Surface Methodology) optimization method, and according to the target aging information, uses the SPSS (Statistical Product and Service Solutions) software to perform nonlinear regression analysis on the aging environment parameter information to obtain the corresponding equation after fitting: , as the correspondence between the aging environment parameters and the target aging parameters.

[0099] Step S106: determining target aging environment parameter information corresponding to the composite insulator to be analyzed according to the corresponding relationship.

[0100] The target aging environment parameter information refers to the optimal aging test parameters corresponding to the composite insulator to be analyzed, which is used to characterize the numerical value of the aging environment factor corresponding to the fastest aging of the composite insulator to be analyzed.

[0101] For example, the server uses the corresponding equation after fitting , two factors in each aging environment parameter information are fixed as the median, and the other two factors are independent variables, and a three-dimensional effect surface diagram of the influence trend of each factor on the total index is drawn according to the binomial fitting equation; then, the server analyzes the three-dimensional effect surface diagram and combines the software calculation results to obtain the optimal aging test parameters corresponding to the composite insulator to be analyzed as the target aging environment parameter information corresponding to the composite insulator to be analyzed.

[0102] In the above-mentioned composite insulator aging environment parameter information processing method, the aging environment parameter information corresponding to the composite insulator to be analyzed is first obtained, and then the feature extraction processing is performed on each aging environment parameter information to obtain the feature vector corresponding to each aging environment parameter information. Next, the feature vector corresponding to each aging environment parameter information is input into a pre-trained aging characteristic parameter prediction model to obtain the aging characteristic parameter information corresponding to each aging environment parameter information. Then, according to each aging characteristic parameter information, the target aging information corresponding to the composite insulator to be analyzed is determined. Finally, according to each aging environment parameter information and the target aging information, the corresponding relationship between the aging environment parameter and the target aging parameter is constructed, and according to the corresponding relationship, the target aging environment parameter information corresponding to the composite insulator to be analyzed is determined. In this way, in the process of determining the aging environmental parameter information of the composite insulator, through detailed analysis and feature extraction of the aging environmental parameters, the target aging information corresponding to the composite insulator to be analyzed can be determined more accurately, which is conducive to the accurate evaluation of the aging condition of the composite insulator to be analyzed; secondly, according to the constructed correspondence, the target aging environmental parameter information is obtained, which is conducive to the formulation of more targeted maintenance strategies, improving the maintenance efficiency of the composite insulator to be analyzed and reducing maintenance costs; moreover, the entire process does not require human intervention, avoiding the defect of low efficiency in determining the aging environmental parameter information of the composite insulator due to the use of manual on-site monitoring, which consumes a lot of time and manpower, thereby improving the efficiency of determining the aging environmental parameter information of the composite insulator.

[0103] In an exemplary embodiment, Figure 2 As shown, the above step S101, obtaining the aging environment parameter information corresponding to the composite insulator to be analyzed, specifically includes the following steps:

[0104] Step S201, obtaining altitude information corresponding to the composite insulator to be analyzed.

[0105] Step S202: determining the aging environment parameter range corresponding to the altitude information.

[0106] Step S203, obtaining aging environment parameter information within the aging environment parameter range as aging environment parameter information corresponding to the composite insulator to be analyzed.

[0107] The altitude information refers to the vertical height of the composite insulator to be analyzed relative to the sea level.

[0108] The aging environment parameter range refers to the numerical range of the aging environment parameter information corresponding to the altitude information.

[0109] Exemplarily, the server obtains the three-dimensional coordinates corresponding to the composite insulator to be analyzed; then, the server determines the altitude information corresponding to the composite insulator to be analyzed based on the three-dimensional coordinates corresponding to the composite insulator to be analyzed; then, the server determines the aging environment parameter range corresponding to the altitude information of the composite insulator to be analyzed based on the correspondence between the altitude information and the aging environment parameter range; then, the server obtains the aging environment parameter information within the aging environment parameter range, and uses the aging environment parameter information as the aging environment parameter information corresponding to the composite insulator to be analyzed.

[0110] In this embodiment, by considering the altitude information and its corresponding aging environment parameter range, the actual environmental conditions of the composite insulator can be more comprehensively understood; and by obtaining the aging environment parameter information within the aging environment parameter range corresponding to the altitude information, the simulation parameters corresponding to the aging test of the composite insulator can be more accurately obtained, thereby providing data support for subsequent tests.

[0111] In an exemplary embodiment, the above step S104 determines the target aging information corresponding to the composite insulator to be analyzed based on each aging characteristic parameter information, and specifically includes the following contents: preprocessing each aging characteristic parameter information to obtain each preprocessed aging characteristic parameter information; fusing each preprocessed aging characteristic parameter information to obtain fused aging characteristic parameter information as the target aging information corresponding to the composite insulator to be analyzed.

[0112] Among them, preprocessing refers to normalizing the information of various aging characteristic parameters.

[0113] The pre-processed aging characteristic parameter information refers to the information obtained by normalizing the aging characteristic parameter information.

[0114] For example, the server can obtain the aging characteristic parameter information after each preprocessing through the following formula:

[0115] , formula (1)

[0116] , formula (2)

[0117] in, is the maximum value of each aging characteristic parameter information, is the minimum value of each aging characteristic parameter information, is the value of the aging characteristic parameter information of the i-th test, , is the normalized value obtained for the aging characteristic parameter information, the larger the value, the better. It is the normalized value obtained for the aging characteristic parameter information, where the smaller the value, the better.

[0118] The fusion processing refers to the process of obtaining the corresponding fused aging characteristic parameter information according to the aging characteristic parameter information after each preprocessing.

[0119] The fused aging characteristic parameter information refers to the information obtained by fusing the pre-processed aging characteristic parameter information.

[0120] For example, the server can obtain the fusion aging feature parameter information through the following formula:

[0121] OD = (d 1 *d 2 *……*d n ) 1 / n , formula (3)

[0122] Exemplarily, the server determines a preprocessing model for each aging characteristic parameter information; then, the server preprocesses each aging characteristic parameter information respectively through the preprocessing model of each aging characteristic parameter information to obtain each preprocessed aging characteristic parameter information; then, the server fuses each preprocessed aging characteristic parameter information to obtain fused aging characteristic parameter information, and uses the fused aging characteristic parameter information as the target aging information corresponding to the composite insulator to be analyzed.

[0123] In this embodiment, by fusing the aging characteristic parameter information after various preprocessing, the aging characteristics of different aspects can be integrated to more comprehensively reflect the aging state of the composite insulator, avoid the limitations of a single parameter, and provide richer and more comprehensive data support for subsequent aging evaluation and prediction.

[0124] In an exemplary embodiment, the above step S102 performs feature extraction processing on each aging environment parameter information to obtain a feature vector corresponding to each aging environment parameter information, which specifically includes the following contents: determining the data type of each aging environment parameter information; determining the feature extraction model corresponding to the data type of each aging environment parameter information according to the correspondence between the data type and the feature extraction model; inputting each aging environment parameter information into the feature extraction model corresponding to the data type of each aging environment parameter information for feature extraction processing, and obtaining a feature vector corresponding to each aging environment parameter information.

[0125] The data type refers to the type information corresponding to each aging environment parameter information, such as integer type and floating point type.

[0126] The correspondence between the data type and the feature extraction model is used to characterize the association information between the data type and the feature extraction model. For example, data type A corresponds to feature extraction model a, data type B corresponds to feature extraction model b, and data type C corresponds to feature extraction model c.

[0127] Among them, the feature extraction model refers to a network model corresponding to the feature vector of each aging environment parameter information obtained according to each aging environment parameter information, such as a recurrent neural network, a convolutional neural network, etc.

[0128] Exemplarily, the server determines the data type of each aging environment parameter information; for example, the server recognizes that the data type corresponding to features such as low pressure, strong ultraviolet radiation and large temperature difference is an integer type, and the data type corresponding to the high humidity feature is a floating point type; then, the server obtains the correspondence between the data type and the feature extraction model, and determines the feature extraction model corresponding to the data type of each aging environment parameter information based on the correspondence between the data type and the feature extraction model; then, the server inputs each aging environment parameter information into the feature extraction model corresponding to the data type of each aging environment parameter information, performs feature extraction processing on each aging environment parameter information through the feature extraction model, and obtains the feature vector corresponding to each aging environment parameter information.

[0129] In this embodiment, the feature extraction model corresponding to the data type of each aging environment parameter information is determined based on the correspondence between the data type and the feature extraction model, so that a special feature extraction model can be matched according to different data types, thereby improving the accuracy and adaptability of feature extraction, which is conducive to improving the accuracy of determining the feature vector corresponding to each aging environment parameter information.

[0130] In an exemplary embodiment, the present application also includes a training step for a pre-trained aging characteristic parameter prediction model, which specifically includes the following contents: obtaining sample aging environment parameter information corresponding to the sample composite insulator; performing feature extraction processing on each sample aging environment parameter information to obtain a feature vector corresponding to each sample aging environment parameter information; inputting the feature vector corresponding to each sample aging environment parameter information into the aging characteristic parameter prediction model to be trained to obtain predicted aging characteristic parameter information corresponding to each sample aging environment parameter information; iteratively training the aging characteristic parameter prediction model to be trained based on the difference between the predicted aging characteristic parameter information corresponding to each sample aging environment parameter information and the actual aging characteristic parameter information to obtain a pre-trained aging characteristic parameter prediction model.

[0131] The sample composite insulator refers to the composite insulator corresponding to the aging characteristic parameter prediction model used for training.

[0132] The sample aging environment parameter information refers to the aging environment parameter information corresponding to the sample composite insulator.

[0133] The predicted aging characteristic parameter information refers to the predicted value corresponding to the aging characteristic parameter information.

[0134] The actual aging characteristic parameter information refers to the actual value corresponding to the aging characteristic parameter information.

[0135] Exemplarily, in response to a model training instruction for an aging characteristic parameter prediction model to be trained, the server obtains aging environment parameter information corresponding to a sample composite insulator from a database as sample aging environment parameter information; then, the server inputs each sample aging environment parameter information into a feature extraction model corresponding to each sample aging environment parameter information for feature extraction processing to obtain a feature vector corresponding to each sample aging environment parameter information; then, the server inputs the feature vector corresponding to each sample aging environment parameter information into the aging characteristic parameter prediction model to be trained to obtain predicted aging characteristic parameter information corresponding to the feature vector of each sample aging environment parameter information , as the predicted aging characteristic parameter information corresponding to the aging environment parameter information of each sample; then, the server obtains the loss value according to the difference between the predicted aging characteristic parameter information corresponding to the aging environment parameter information of each sample and the actual aging characteristic parameter information; then, the server adjusts the model parameters of the aging characteristic parameter prediction model to be trained according to the loss value; then, the server re-trains the aging characteristic parameter prediction model after the model parameters are adjusted, until the loss value obtained by the trained aging characteristic parameter prediction model is less than the loss value threshold, then the training is stopped, and the trained aging characteristic parameter prediction model is used as the pre-trained aging characteristic parameter prediction model.

[0136] In this embodiment, by pre-training the aging characteristic parameter prediction model, it is convenient in practical applications to predict the aging characteristic parameter information corresponding to each aging environment parameter information after obtaining the aging environment parameter information corresponding to the composite insulator to be analyzed; moreover, the aging characteristic parameter prediction model receives new data in each round of iteration, and performs internal improvements and optimizations on the model, so as to be able to make predictions more effectively, which is beneficial to improving the prediction accuracy of the aging characteristic parameter prediction model.

[0137] In an exemplary embodiment, the above step S104, after determining the target aging information corresponding to the composite insulator to be analyzed based on each aging characteristic parameter information, specifically includes the following contents: generating a target maintenance instruction corresponding to the composite insulator to be analyzed based on the target aging information corresponding to the composite insulator to be analyzed; and performing maintenance processing on the composite insulator to be analyzed according to the target maintenance instruction.

[0138] The target maintenance instruction refers to instruction information corresponding to the maintenance processing of the composite insulator to be analyzed.

[0139] Exemplarily, the server determines the aging degree of the composite insulator to be analyzed based on the target aging information corresponding to the composite insulator to be analyzed; then, the server generates a target maintenance instruction corresponding to the composite insulator to be analyzed based on the aging degree corresponding to the composite insulator to be analyzed; then, the server performs maintenance processing on the composite insulator to be analyzed according to the target maintenance instruction corresponding to the composite insulator to be analyzed.

[0140] For example, the server can formulate a targeted maintenance plan based on the aging degree of the composite insulator to be analyzed. For example, for severely aged composite insulators, timely replacement is carried out, and for slightly aged composite insulators, regular monitoring and other measures are taken.

[0141] In this embodiment, the maintenance instructions generated based on the target aging information can accurately target the actual aging condition of the composite insulator to avoid excessive or insufficient maintenance; moreover, the service life of the composite insulator can be effectively extended through maintenance processing, ensuring its normal operation in the power system and improving the reliability of power equipment.

[0142] In an exemplary embodiment, Figure 3 As shown, another composite insulator aging environmental parameter information processing method is provided, and the method is applied to a server for example, including the following steps:

[0143] Step S301, obtaining altitude information corresponding to the composite insulator to be analyzed; determining an aging environment parameter range corresponding to the altitude information; obtaining aging environment parameter information within the aging environment parameter range as the aging environment parameter information corresponding to the composite insulator to be analyzed.

[0144] Step S302, determining the data type of each aging environment parameter information; and determining the feature extraction model corresponding to the data type of each aging environment parameter information according to the corresponding relationship between the data type and the feature extraction model.

[0145] Step S303 : Input each aging environment parameter information into a feature extraction model corresponding to the data type of each aging environment parameter information to perform feature extraction processing, and obtain a feature vector corresponding to each aging environment parameter information.

[0146] Step S304: input the feature vectors corresponding to each aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each aging environment parameter information.

[0147] Step S305, preprocessing each aging characteristic parameter information to obtain each preprocessed aging characteristic parameter information.

[0148] Step S306, fusing the preprocessed aging characteristic parameter information to obtain fused aging characteristic parameter information as target aging information corresponding to the composite insulator to be analyzed.

[0149] Step S307: constructing a correspondence between the aging environment parameters and the target aging parameters according to the aging environment parameter information and the target aging information.

[0150] Step S308: determining target aging environment parameter information corresponding to the composite insulator to be analyzed according to the corresponding relationship.

[0151] In the above-mentioned composite insulator aging environment parameter information processing method, in the process of determining the composite insulator aging environment parameter information, through detailed analysis and feature extraction of the aging environment parameters, the target aging information corresponding to the composite insulator to be analyzed can be more accurately determined, which is conducive to the accurate evaluation of the aging condition of the composite insulator to be analyzed; secondly, according to the constructed corresponding relationship, the target aging environment parameter information is obtained, which is conducive to formulating more targeted maintenance strategies, improving the maintenance efficiency of the composite insulator to be analyzed and reducing maintenance costs; moreover, the whole process does not require human intervention, avoiding the defect of low efficiency in determining the composite insulator aging environment parameter information due to the use of manual on-site monitoring, which is easy to consume a lot of time and manpower, thereby improving the efficiency of determining the composite insulator aging environment parameter information.

[0152] In an exemplary embodiment, in order to more clearly illustrate the composite insulator aging environment parameter information processing method provided in the embodiment of the present application, the composite insulator aging environment parameter information processing method is specifically described below with a specific embodiment. In one embodiment, Figure 4As shown, the present application also provides a composite insulator multi-factor coupled accelerated aging test method and device. In the process of determining the aging environment parameter information of the composite insulator, the aging environment parameter information corresponding to the composite insulator to be analyzed is first obtained, and then the feature extraction processing is performed on each aging environment parameter information to obtain the feature vector corresponding to each aging environment parameter information. Then, the feature vector corresponding to each aging environment parameter information is input into the pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each aging environment parameter information. Then, according to each aging feature parameter information, the target aging information corresponding to the composite insulator to be analyzed is determined. Finally, according to each aging environment parameter information and the target aging information, the corresponding relationship between the aging environment parameter and the target aging parameter is constructed, and according to the corresponding relationship, the target aging environment parameter information corresponding to the composite insulator to be analyzed is determined. Specifically including the following contents:

[0153] S1. Preparation and pretreatment of samples: FXBW (Fiber Reinforced Polymer Insulator) 4-750 / 300-1 rod-shaped composite insulators were selected as test objects; the dirt on the surface of the samples was cleaned with anhydrous ethanol and deionized water, and the samples were placed in a drying oven at a temperature of 30-40°C. After the samples were completely dried, they were placed at room temperature for 48 hours; the samples were then sliced ​​and cut into 60mm×60mm×3mm (length, width and thickness) test pieces for the silicone rubber material aging test.

[0154] S2. Selection of aging environmental factors and determination of aging environmental parameters: In view of the extreme environmental climate at high altitudes, four typical high-altitude environmental characteristics, namely low air pressure, strong ultraviolet radiation, large temperature difference and high humidity, are selected as the aging environmental factors for this test; and the aging environmental parameters are determined based on the standard GB / T 14597-2010 for climatic environmental conditions at different altitudes for electrical products.

[0155] S3. Selection of aging characteristic parameters: In order to facilitate measurement, leakage current, volume resistivity, surface hydrophobicity and tensile strength are selected as aging characteristic parameters of composite insulators to evaluate the aging degree of composite insulators.

[0156] S4. Design and conduct multi-factor coupling aging analysis test: Based on the aging environment factors and determined aging environment parameters selected in S2, the CCD (Central Composite Design) method is used to conduct a four-factor five-level analysis test design (the test table is arranged in the form of code, and the true value is converted into the experimental value 0, ±1, ±2), as shown in Table 1; and the aging test is carried out using the constructed multi-factor coupling aging experimental device.

[0157] S5. The normalization process of the test results is as follows:

[0158] S51. Measure the leakage current, volume resistivity, surface hydrophobicity and tensile strength of the composite insulators in different aging test groups and record the values;

[0159] S52. Since there are many indicators for evaluating the aging degree of composite insulators, the changing trends of different single indicators may be inconsistent. The "normalization" method is used to normalize each indicator so that each value is between 0 and 1.

[0160] , formula (1)

[0161] , formula (2)

[0162] In the formula, is the maximum value among the indicators, is the minimum value among the indicators, is the index value of the i-th test, , is the normalized value obtained for the indicator where the larger the value, the better. It is the normalized value obtained for the indicator where the smaller the value, the better.

[0163] S53, then unify the values ​​of S52 into one value to obtain a value that can reflect the overall comprehensive aging degree, called the overall evaluation normalization value OD, and the calculation formula is as shown in the formula:

[0164] OD = (d 1 *d 2 *……*d n ) 1 / n , formula (3)

[0165] In the formula, OD is the normalized value of the overall evaluation, n is the number of indicators, is the normalized value of each indicator, .

[0166] S6. The aging test parameters were optimized using the response surface optimization method (RSM), and the process was as follows:

[0167] S61. Based on the calculated OD value, SPSS software was used to perform nonlinear regression analysis of the OD value on the four factors of air pressure, ultraviolet radiation, temperature difference, and humidity, and the corresponding equation after fitting was obtained. ;

[0168] S62, fix two of the factors as medians and the other two factors as independent variables, and fit the equation according to the binomial A three-dimensional effect surface diagram of the influence trend of each factor on the overall index;

[0169] S63, analyze the effect surface and combine it with the software calculation results to obtain the optimal aging test parameters;

[0170] like Figure 5 and Figure 6 As shown, a multi-environment coupling test device includes a chassis body, an experimental cabin, a human-computer interaction device, a gas circulation system, an exhaust negative pressure system, an irradiation system, a humidification / dehumidification and a water supply system; during operation, the power of the test box, the environment generation module and the control module are turned on in sequence; the control software of the control module is turned on, and the control parameters and the required time of temperature, humidity, irradiation and air pressure are set according to the optimal values ​​obtained by S6, and the process cycle is set according to the test requirements; after the parameters are set, the start button is clicked to start the accelerated aging test, and the control module outputs the environmental values ​​of the recording time and test conditions in real time, and generates a change curve for automatic storage; after the test is completed, the control module and the test module enter the standby state and wait for the instruction of the next test.

[0171] The main body of the chassis is made of sheet metal parts, and the middle layer is filled with high-density glass fiber wool to ensure the temperature stability in the experimental cabin; there is an openable metal insulation door 1 in front of the box, the insulation door adopts a double-layer silicone rubber sealing strip, and an observation window 2 made of multi-layer hollow tempered glass is set in the middle of the insulation door; the experimental cabin is equipped with ventilation holes, sensor installation holes, and a parallel sample rack 3; the human-computer interaction device 4 is a true color touch screen panel, which is used for parameter setting and environmental monitoring and can display the real environmental values ​​in the experimental cabin in real time;

[0172] The gas circulation system includes a heating device 5, a temperature sensor 6, a circulation fan 7 and a temperature control unit 8. The temperature sensor is connected to the temperature control unit through a signal line to measure and feedback temperature data; the heating device is connected to the temperature control unit through a wire to control the operation of the heating device according to the set temperature and the feedback data of the temperature sensor; the circulation fan is used for balanced temperature adjustment to ensure uniform temperature field in the test chamber.

[0173] The vacuum system includes a vacuum device 9, a pressure sensor 6, a pressure control unit 10 and a relief valve 11. The vacuum device is a piston oil-free dry vacuum pump and a negative pressure vacuum differential pressure valve commonly used in the market; the pressure sensor is connected to the pressure control unit through a signal line for real-time collection and feedback of pressure data; the vacuum device is connected to the pressure control unit through a wire, and the operation of the vacuum device is controlled according to the set pressure value and the feedback data of the pressure sensor; the relief valve is used to balance the air pressure to maintain the stability of the air pressure inside the experimental cabin.

[0174] The irradiation system includes a UV (Ultraviolet) irradiation lamp 12, a quartz filter 13, an irradiation intensity sensor 6 and an irradiation control unit 14. The UV irradiation lamp and the quartz filter are arranged on the top of the experimental chamber to simulate the ultraviolet irradiation environment; the irradiation intensity sensor is connected to the irradiation control unit through a signal line to measure and feedback the irradiation intensity; the UV irradiation lamp is connected to the irradiation control unit through a wire, and the power of the UV irradiation lamp is adjusted according to the set irradiation intensity and the feedback data of the irradiation intensity sensor.

[0175] The humidification and water supply system includes a humidification device 15, a water tank 16, a humidity sensor 6 and a humidity control unit 17. The humidification device is connected to the water tank for adjusting the humidity in the experimental cabin; the humidity sensor is connected to the humidity control unit through a signal line for measuring and feeding back the humidity; the humidification device is connected to the humidity control unit through a wire, and the operation of the humidification device is controlled according to the set humidity value and the feedback data of the humidity sensor.

[0176] In the above-mentioned embodiment, in the process of determining the aging environment parameter information of the composite insulator, the target aging information corresponding to the composite insulator to be analyzed can be determined more accurately through detailed analysis and feature extraction of the aging environment parameters, which is conducive to realizing the accurate evaluation of the aging condition of the composite insulator to be analyzed; secondly, according to the constructed corresponding relationship, the target aging environment parameter information is obtained, which is conducive to formulating more targeted maintenance strategies, improving the maintenance efficiency of the composite insulator to be analyzed and reducing the maintenance cost; moreover, the whole process does not require human intervention, avoiding the defect of low efficiency in determining the aging environment parameter information of the composite insulator due to the manual on-site monitoring method which is easy to consume a lot of time and manpower, thereby improving the efficiency of determining the aging environment parameter information of the composite insulator.

[0177] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0178] In an exemplary embodiment, a composite insulator aging environmental parameter information processing system is provided, the system comprising a chassis body, an experimental cabin, a human-computer interaction device, a gas circulation unit, an air extraction negative pressure unit, an irradiation unit, a humidification and water supply unit;

[0179] The chassis body is made of sheet metal parts; the middle layer of the chassis body is filled with high-density glass fiber wool; the chassis body also includes an insulation door, which uses a double-layer silicone rubber sealing strip and is equipped with a multi-layer hollow tempered glass observation window;

[0180] The experimental cabin is equipped with ventilation holes and sensor installation holes, and a parallel sample rack is installed in the experimental cabin;

[0181] The human-computer interaction device is a true-color touch-screen panel;

[0182] The gas circulation unit includes a heating device, a temperature sensor, a circulation fan and a temperature control unit; the heating device is connected to the temperature control unit, and the temperature control unit is connected to the temperature sensor;

[0183] The vacuum negative pressure unit includes a vacuum negative pressure device, a pressure sensor, a pressure control unit and a release valve; the vacuum negative pressure device is connected to the pressure control unit, and the pressure control unit is connected to the pressure sensor;

[0184] The irradiation unit includes a UV irradiation lamp, a quartz filter, an irradiation intensity sensor and an irradiation control unit; the UV irradiation lamp is connected to the irradiation control unit, and the irradiation control unit is connected to the irradiation intensity sensor;

[0185] The humidification and water supply unit includes a humidification device, a water tank, a humidity sensor and a humidity control unit; the water tank is connected to the humidification device, the humidification device is connected to the humidity control unit, and the humidity control unit is connected to the humidity sensor;

[0186] The system also includes a data processing device for executing the composite insulator aging environment parameter information processing method.

[0187] The data processing device may refer to a terminal equipped with a processor or a server equipped with a processor. The processor may refer to a CPU (Central Processing Unit).

[0188] Based on the same inventive concept, the embodiment of the present application also provides a composite insulator aging environment parameter information processing device for implementing the composite insulator aging environment parameter information processing method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the composite insulator aging environment parameter information processing device provided below can refer to the limitations of the composite insulator aging environment parameter information processing method above, and will not be repeated here.

[0189] In an exemplary embodiment, Figure 7 As shown, a composite insulator aging environmental parameter information processing device is provided, comprising: an information acquisition module 701, a feature extraction module 702, an information prediction module 703, an information determination module 704, a relationship construction module 705 and a target determination module 706, wherein:

[0190] The information acquisition module 701 is used to acquire aging environment parameter information corresponding to the composite insulator to be analyzed.

[0191] The feature extraction module 702 is used to perform feature extraction processing on each aging environment parameter information to obtain a feature vector corresponding to each aging environment parameter information.

[0192] The information prediction module 703 is used to input the feature vector corresponding to each aging environment parameter information into the pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each aging environment parameter information.

[0193] The information determination module 704 is used to determine the target aging information corresponding to the composite insulator to be analyzed according to each aging characteristic parameter information.

[0194] The relationship building module 705 is used to build a corresponding relationship between the aging environment parameters and the target aging parameters according to the aging environment parameter information and the target aging information.

[0195] The target determination module 706 is used to determine the target aging environment parameter information corresponding to the composite insulator to be analyzed according to the corresponding relationship.

[0196] In an exemplary embodiment, the information acquisition module 701 is also used to obtain altitude information corresponding to the composite insulator to be analyzed; determine the aging environment parameter range corresponding to the altitude information; and obtain aging environment parameter information within the aging environment parameter range as the aging environment parameter information corresponding to the composite insulator to be analyzed.

[0197] In an exemplary embodiment, the information determination module 704 is also used to preprocess each aging characteristic parameter information to obtain each preprocessed aging characteristic parameter information; and to fuse each preprocessed aging characteristic parameter information to obtain fused aging characteristic parameter information as the target aging information corresponding to the composite insulator to be analyzed.

[0198] In an exemplary embodiment, the feature extraction module 702 is also used to determine the data type of each aging environment parameter information; determine the feature extraction model corresponding to the data type of each aging environment parameter information according to the correspondence between the data type and the feature extraction model; input each aging environment parameter information into the feature extraction model corresponding to the data type of each aging environment parameter information for feature extraction processing, and obtain the feature vector corresponding to each aging environment parameter information.

[0199] In an exemplary embodiment, the composite insulator aging environment parameter information processing device also includes a model training module, which is used to obtain sample aging environment parameter information corresponding to the sample composite insulator; perform feature extraction processing on each sample aging environment parameter information to obtain a feature vector corresponding to each sample aging environment parameter information; input the feature vector corresponding to each sample aging environment parameter information into an aging characteristic parameter prediction model to be trained to obtain predicted aging characteristic parameter information corresponding to each sample aging environment parameter information; and iteratively train the aging characteristic parameter prediction model to be trained according to the difference between the predicted aging characteristic parameter information corresponding to each sample aging environment parameter information and the actual aging characteristic parameter information to obtain a pre-trained aging characteristic parameter prediction model.

[0200] In an exemplary embodiment, the composite insulator aging environmental parameter information processing device also includes a composite insulator maintenance module, which is used to generate a target maintenance instruction corresponding to the composite insulator to be analyzed based on the target aging information corresponding to the composite insulator to be analyzed; and perform maintenance processing on the composite insulator to be analyzed according to the target maintenance instruction.

[0201] Each module in the composite insulator aging environmental parameter information processing device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0202] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as aging environment parameter information and aging characteristic parameter information. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a composite insulator aging environment parameter information processing method is implemented.

[0203] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0204] In an exemplary embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0205] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0206] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0207] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0208] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0209] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A composite insulator aging environmental parameter information processing method, characterized in that: The method comprises: Obtaining aging environmental parameter information corresponding to the composite insulator to be analyzed; Performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information; Inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information; Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information; According to each of the aging environment parameter information and the target aging information, constructing a corresponding relationship between the aging environment parameter and the target aging parameter; According to the corresponding relationship, target aging environment parameter information corresponding to the composite insulator to be analyzed is determined.

2. The method according to claim 1, characterized in that The step of obtaining aging environment parameter information corresponding to the composite insulator to be analyzed includes: Obtain altitude information corresponding to the composite insulator to be analyzed; Determining an aging environment parameter range corresponding to the altitude information; Aging environment parameter information within the aging environment parameter range is obtained as aging environment parameter information corresponding to the composite insulator to be analyzed.

3. The method according to claim 1, characterized in that Determining target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information includes: Preprocessing each of the aging characteristic parameter information to obtain each of the preprocessed aging characteristic parameter information; The pre-processed aging characteristic parameter information is fused to obtain fused aging characteristic parameter information as target aging information corresponding to the composite insulator to be analyzed.

4. The method according to claim 1, characterized in that: The performing feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information includes: Determine the data type of each of the aging environment parameter information; Determine the feature extraction model corresponding to the data type of each aging environment parameter information according to the corresponding relationship between the data type and the feature extraction model; Each of the aging environment parameter information is input into a feature extraction model corresponding to the data type of each of the aging environment parameter information to perform feature extraction processing, so as to obtain a feature vector corresponding to each of the aging environment parameter information.

5. The method according to claim 1, characterized in that The pre-trained aging characteristic parameter prediction model is trained in the following way: Obtain sample aging environmental parameter information corresponding to the sample composite insulator; Performing feature extraction processing on the aging environment parameter information of each sample to obtain a feature vector corresponding to the aging environment parameter information of each sample; Inputting the feature vector corresponding to each sample aging environment parameter information into the aging feature parameter prediction model to be trained to obtain the predicted aging feature parameter information corresponding to each sample aging environment parameter information; According to the difference between the predicted aging characteristic parameter information corresponding to each of the sample aging environment parameter information and the actual aging characteristic parameter information, the aging characteristic parameter prediction model to be trained is iteratively trained to obtain the pre-trained aging characteristic parameter prediction model.

6. The method according to any one of claims 1 to 5, characterized in that After determining the target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information, the method further includes: generating a target maintenance instruction corresponding to the composite insulator to be analyzed according to the target aging information corresponding to the composite insulator to be analyzed; According to the target maintenance instruction, maintenance processing is performed on the composite insulator to be analyzed.

7. A composite insulator aging environmental parameter information processing system, characterized in that: The system includes a chassis body, an experimental cabin, a human-computer interaction device, a gas circulation unit, an air extraction negative pressure unit, an irradiation unit, and a humidification and water supply unit; The chassis body is formed by splicing sheet metal parts; the middle layer of the chassis body is filled with high-density glass fiber wool; the chassis body also includes an insulation door, the insulation door adopts a double-layer silicone rubber sealing strip, and the insulation door is provided with a multi-layer hollow tempered glass observation window; The experimental cabin is provided with ventilation holes and sensor installation holes, and the experimental cabin is equipped with a parallel sample rack; The human-computer interaction device is a true color touch screen panel; The gas circulation unit comprises a heating device, a temperature sensor, a circulation fan and a temperature control unit; the heating device is connected to the temperature control unit, and the temperature control unit is connected to the temperature sensor; The vacuum negative pressure unit comprises a vacuum negative pressure device, a pressure sensor, a pressure control unit and a release valve; the vacuum negative pressure device is connected to the pressure control unit, and the pressure control unit is connected to the pressure sensor; The irradiation unit includes a UV irradiation lamp, a quartz filter, an irradiation intensity sensor and an irradiation control unit; the UV irradiation lamp is connected to the irradiation control unit, and the irradiation control unit is connected to the irradiation intensity sensor; The humidification and water supply unit includes a humidification device, a water tank, a humidity sensor and a humidity control unit; the water tank is connected to the humidification device, the humidification device is connected to the humidity control unit, and the humidity control unit is connected to the humidity sensor; The system further comprises a data processing device for executing the method according to any one of claims 1 to 6.

8. A composite insulator aging environmental parameter information processing device, characterized in that: The device comprises: An information acquisition module is used to obtain aging environment parameter information corresponding to the composite insulator to be analyzed; A feature extraction module, used to perform feature extraction processing on each of the aging environment parameter information to obtain a feature vector corresponding to each of the aging environment parameter information; An information prediction module, used for inputting the feature vectors corresponding to each of the aging environment parameter information into a pre-trained aging feature parameter prediction model to obtain the aging feature parameter information corresponding to each of the aging environment parameter information; An information determination module, used to determine the target aging information corresponding to the composite insulator to be analyzed according to each of the aging characteristic parameter information; A relationship building module, used to build a corresponding relationship between the aging environment parameter and the target aging parameter according to each of the aging environment parameter information and the target aging information; The target determination module is used to determine the target aging environment parameter information corresponding to the composite insulator to be analyzed according to the corresponding relationship.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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