Coal oil adsorption coefficient model construction method, device and system

Abstract

The application relates to a kerosene adsorption coefficient model construction method, device and system, a sample type, a transformer voltage grade and a weight interval are introduced into a cooperative analysis framework, and it is defined that the same drying process parameters are adopted by each to-be-tested insulation piece for kerosene gas phase drying under the same voltage grade and the same weight interval. On this basis, for a plurality of to-be-tested insulation pieces under the same sample type, the same voltage grade and the same weight interval, the sample weight, the sample specific surface area and the measured kerosene adsorption amount are normalized and subjected to multivariate fitting processing, fitting deviation caused by cross-dimension data mixing is avoided, the scale influence of sample weight difference on the adsorption amount value is eliminated, and the fitting result reflects the intrinsic adsorption law. In this way, the sample type, the transformer voltage grade, the weight interval, the sample weight and the sample specific surface area are comprehensively considered, and compared with a traditional single-factor determined measurement model, the measurement precision is extremely high.

Description

Technical Field

[0001] This application relates to the field of transformer technology, and in particular to a method, apparatus and system for constructing a kerosene adsorption coefficient model. Background Technology

[0002] In the manufacturing process of large oil-immersed transformers, drying the transformer body is a core process to ensure the insulation performance and long-term operational reliability of the product. Among them, kerosene vapor phase drying process has become the mainstream drying technology for the transformer body of large oil-immersed transformers due to its significant advantages such as uniform heat transfer, high dehydration efficiency, and minimal thermal damage to insulation components.

[0003] While this process efficiently dehydrates the transformer, kerosene vapor is inevitably adsorbed and remains on the internal insulation components. This residual kerosene gradually precipitates from the insulation components and migrates into the insulating oil, causing a continuous deterioration of the oil's key properties. Controlling the amount of residual kerosene at the source is crucial for the safe and stable operation of the transformer. The key lies in accurately quantifying the kerosene adsorption capacity of different insulation components under specific drying processes, i.e., determining the kerosene adsorption coefficient.

[0004] Currently, there are some measurement models for the kerosene adsorption coefficient of insulating components. However, these models typically only consider the influence of a single variable on the kerosene adsorption characteristics, while kerosene adsorption behavior is the result of the combined effects of multiple factors. Therefore, existing kerosene adsorption characteristic measurement models suffer from poor measurement accuracy. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, and system for constructing a kerosene adsorption coefficient model to address the problem of poor measurement accuracy in kerosene adsorption characteristic measurement models.

[0006] This application provides a method for constructing a kerosene adsorption coefficient model, comprising: obtaining the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulating component to be tested; determining drying process parameters based on the transformer voltage level and the weight range, and performing kerosene vapor-phase drying on the insulating component to be tested using the drying process parameters; wherein the drying process parameters are the same for each insulating component to be tested within the same transformer voltage level and the same weight range; determining the kerosene adsorption amount of each insulating component to be tested after the kerosene vapor-phase drying is completed; and determining the kerosene adsorption coefficient model by performing normalization and multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulating component to be tested; wherein the target insulating component to be tested includes multiple insulating components of the same sample type and within the same transformer voltage level and the same weight range; the kerosene adsorption coefficient model characterizes the correspondence between sample weight, sample specific surface area, and kerosene adsorption coefficient, and is used to calculate the kerosene adsorption coefficient of the transformer insulating component.

[0007] In some embodiments, the method further includes: determining the kerosene adsorption amount of a first type of insulating component to be tested using a gravimetric method; wherein the first type of insulating component to be tested is an insulating component to be tested whose sample weight is less than or equal to a preset weight threshold; and determining the kerosene adsorption amount of a second type of insulating component to be tested using a chromatographic analysis method; wherein the second type of insulating component to be tested is an insulating component to be tested whose sample weight is greater than the preset weight threshold.

[0008] In some embodiments, determining the kerosene adsorption amount of the first type of insulating component to be tested using a gravimetric method includes: obtaining the actual weight of the first type of insulating component to be tested after kerosene vapor phase drying; and determining the kerosene adsorption amount of the first type of insulating component to be tested based on the difference between the actual weight of the first type of insulating component to be tested and the sample weight.

[0009] In some embodiments, the determination of the kerosene adsorption amount of the second type of insulating component by chromatographic analysis includes: immersing the second type of insulating component, after kerosene vapor-phase drying, in insulating oil; after standing and immersion to reach two-phase equilibrium, sampling the insulating oil for chromatographic analysis to determine the kerosene concentration; and determining the kerosene adsorption amount of the second type of insulating component based on the kerosene concentration.

[0010] In some embodiments, the step of determining the kerosene adsorption coefficient model by normalizing and performing multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulating component includes: normalizing the kerosene adsorption amount of the target insulating component to obtain the kerosene adsorption amount per unit weight of the target insulating component; performing regression fitting analysis based on the kerosene adsorption amount per unit weight of the target insulating component, the sample weight, and the sample specific surface area to determine the model coefficients; and determining the kerosene adsorption coefficient model based on the model coefficients.

[0011] In some embodiments, the kerosene adsorption coefficient model includes: independent terms of the sample weight and the sample specific surface area with respect to the kerosene adsorption coefficient, and interaction terms of the sample weight and the sample specific surface area with respect to the kerosene adsorption coefficient.

[0012] In some embodiments, the method further includes: obtaining a verification sample and verifying the kerosene adsorption coefficient model using the verification sample; wherein the sample type, transformer voltage, and weight range of the verification sample are the same as those of the kerosene adsorption coefficient model, and at least one of the sample weight and sample specific surface area of ​​the verification sample is different from those of the kerosene adsorption coefficient model.

[0013] In some embodiments, the verification of the kerosene adsorption coefficient model using the verification sample includes: after subjecting the verification sample to the same kerosene vapor-phase drying, determining the kerosene adsorption amount per unit weight of the verification sample; substituting the sample weight and sample specific surface area of ​​the verification sample into the kerosene adsorption coefficient model for calculation to obtain the measured kerosene adsorption coefficient; and verifying the kerosene adsorption coefficient model based on the kerosene adsorption amount per unit weight of the verification sample and the measured kerosene adsorption coefficient.

[0014] This application discloses a kerosene adsorption coefficient model construction device, comprising: a parameter acquisition module for acquiring the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulating component to be tested; a drying processing module for determining drying process parameters based on the transformer voltage level and the weight range, and performing kerosene vapor-phase drying on the insulating component to be tested using the drying process parameters; wherein the drying process parameters are the same for all insulating components to be tested within the same transformer voltage level and the same weight range; and an adsorption analysis module for analyzing the kerosene vapor-phase drying process after it is completed. In this case, the kerosene adsorption amount of each of the tested insulating components is determined; the model construction module is used to perform normalization and multivariate fitting processing based on the sample weight, sample specific surface area and kerosene adsorption amount of the target tested insulating component to determine the kerosene adsorption coefficient model; wherein, the target tested insulating component includes multiple tested insulating components of the same sample type, and located in the same transformer voltage level and the same weight range; the kerosene adsorption coefficient model characterizes the correspondence between sample weight, sample specific surface area and kerosene adsorption coefficient, and the kerosene adsorption coefficient model is used to calculate the kerosene adsorption coefficient of the transformer insulating component.

[0015] This application discloses a kerosene adsorption coefficient model construction system, comprising: a sample parameter acquisition device, a kerosene vapor phase drying device, an adsorption measurement device, and a control device. The sample parameter acquisition device is used to determine the sample weight and specific surface area of ​​the insulating component to be tested; the kerosene vapor phase drying device is used to perform kerosene vapor phase drying on the insulating component to be tested; the adsorption measurement device is used to measure the amount of kerosene adsorbed on the insulating component to be tested; the control device is connected to the sample parameter acquisition device, the kerosene vapor phase drying device, and the adsorption measurement device, and the control device is used to execute the steps of the above-described kerosene adsorption coefficient model construction method.

[0016] The aforementioned method, apparatus, and system for constructing the kerosene adsorption coefficient model introduce a collaborative analysis framework encompassing three dimensions: sample type, transformer voltage level, and weight range. It also limits the drying process parameters for all tested insulation components to be dried in the vapor phase using identical parameters within the same voltage level and weight range. This eliminates interference from differences in process parameters on the kerosene adsorption measurement data, ensuring the consistency and comparability of the data used for subsequent fitting. Based on this, multiple tested insulation components (i.e., target tested insulation components) within the same sample type, voltage level, and weight range are normalized and subjected to multivariate fitting based on their sample weight, sample specific surface area, and measured kerosene adsorption amount to obtain the kerosene adsorption coefficient model. This avoids fitting bias caused by cross-dimensional data contamination and eliminates the scaling effect of sample weight differences on the adsorption value, ensuring that the fitting results reflect the intrinsic adsorption law.

[0017] The above scheme comprehensively considers the influence of factors such as sample type, transformer voltage level, weight range, sample weight, and sample specific surface area on kerosene adsorption characteristics. For the same sample type, the same transformer voltage level, and the same weight range, an independent kerosene adsorption coefficient model is constructed. Compared with the traditional measurement model determined by a single factor, it has extremely high measurement accuracy. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the conventional technology, the drawings used in the description of the embodiments or the conventional technology will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the kerosene adsorption coefficient model construction method in one embodiment of this application;

[0020] Figure 2 This is a schematic diagram of the kerosene adsorption coefficient model construction method in another embodiment of this application;

[0021] Figure 3 This is a schematic diagram of the verification process in one embodiment of this application;

[0022] Figure 4 This is a schematic diagram of the kerosene adsorption coefficient model construction system in one embodiment of this application;

[0023] Figure 5 This is a schematic diagram of the kerosene adsorption coefficient model construction device in one embodiment of this application;

[0024] Figure 6 This is a schematic diagram of the kerosene adsorption coefficient model construction device in another embodiment of this application. Detailed Implementation

[0025] To facilitate understanding of this application, a more complete description will be provided below with reference to the accompanying drawings. Preferred embodiments of this application are shown in the drawings. However, this application can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of this application.

[0026] Please see Figure 1 This application provides a method for constructing a kerosene adsorption coefficient model, including steps 102, 104, 106 and 108.

[0027] Step 102: Obtain the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested.

[0028] Step 104: Determine the drying process parameters based on the transformer voltage level and weight range, and perform kerosene vapor phase drying on the insulation component to be tested using the drying process parameters.

[0029] Step 106: After the kerosene vapor phase drying is completed, determine the amount of kerosene adsorbed on each insulating component to be tested.

[0030] Step 108: Based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component to be tested, normalization and multivariate fitting are performed to determine the kerosene adsorption coefficient model.

[0031] The drying process parameters are identical for all insulation components under test within the same transformer voltage level and weight range. The target insulation components include multiple components of the same sample type, within the same transformer voltage level and weight range. The kerosene adsorption coefficient model characterizes the relationship between sample weight, sample specific surface area, and kerosene adsorption coefficient. This model is used to calculate the kerosene adsorption coefficient of transformer insulation components.

[0032] The insulation component to be tested refers to the component made of various insulating materials used in transformer manufacturing, including but not limited to cellulose-based insulation components, aromatic polyamide paper-based insulation components, epoxy composite material-based insulation components, etc.

[0033] Sample type refers to the material category of the insulating component under test, used to distinguish the differences in adsorption characteristics between different materials. Sample weight refers to the mass of the insulating component under test before drying, in kilograms (kg), used for subsequent normalization. The method of obtaining sample weight is not unique; it can be obtained directly by weighing using an electronic balance, and is not limited here.

[0034] The sample specific surface area refers to the surface area per unit mass of insulating component, usually measured using the gas adsorption method (BET method), and is expressed in square meters per gram (m² / g). It reflects the microstructural characteristics of the insulating component. The transformer voltage rating refers to the rated voltage rating of the transformer used for the insulating component under test, such as 110kV, 220kV, or 500kV, used to determine the matching drying process parameters.

[0035] Weight range refers to the range defined based on sample weight, used for multidimensional fitting of the adsorption coefficient model. Drying process parameters refer to key control parameters in the kerosene vapor-phase drying process, including heating time and vacuum level. Kerosene vapor-phase drying is a drying process for transformer insulation components, utilizing kerosene vapor to heat and dehydrate the insulation components in a vacuum environment. Kerosene adsorption capacity refers to the mass of kerosene adsorbed and remaining on the insulation components during the kerosene vapor-phase drying process, measured in grams (g).

[0036] Normalization involves dividing the kerosene adsorption amount by the sample weight to obtain the adsorption amount per unit weight, thus eliminating the influence of weight differences on the adsorption amount value. Multivariate fitting involves using a mathematical model with multiple independent variables (such as specific surface area, weight, and their interaction terms) to perform regression analysis on the experimental data to determine the expression for the adsorption coefficient model. The kerosene adsorption coefficient model is a functional expression characterizing the mathematical relationship between sample weight, sample specific surface area, and the kerosene adsorption coefficient, used to predict the adsorption behavior of insulating components under different conditions.

[0037] The kerosene adsorption coefficient model construction method in this embodiment first obtains the sample type, sample weight, sample specific surface area, and the transformer voltage level and weight range corresponding to each insulating component. Based on the transformer voltage level and weight range, suitable drying process parameters are determined, and under these parameters, each suitable insulating component is subjected to kerosene vapor-phase drying to simulate actual production conditions. It is understood that in real-world scenarios, if the transformer voltage level and / or weight range of the insulating components differ, different drying process parameters will be used for kerosene vapor-phase drying.

[0038] It is understood that in some embodiments, the control device internally stores the correspondence between transformer voltage levels, weight ranges, and drying process parameters. This correspondence can be stored in the form of graphs, tables, databases, functions, etc., and is not specifically limited. In this correspondence, under the same transformer voltage level, different weight ranges will result in different drying process parameters; conversely, under the same weight range, different transformer voltage levels will also result in different drying process parameters.

[0039] After drying, the kerosene adsorption amount of each insulation component under test was measured and normalized to eliminate the influence of weight differences. Subsequently, based on three dimensions—sample type, transformer voltage level, and weight range—multiple insulation components of the same sample type, within the same transformer voltage level and weight range were grouped together as target insulation components for independent model construction.

[0040] It can be understood that the kerosene adsorption coefficient model under the three dimensions of sample type, transformer voltage level, and weight range refers to grouping these three dimensions together, with a corresponding kerosene adsorption coefficient model constructed for each group. That is, for the same sample type, different transformer voltage levels or weight ranges will result in different kerosene adsorption coefficient models; or for the same transformer voltage level, different sample types or weight ranges will also result in different kerosene adsorption coefficient models; or for the same weight range, different sample types or transformer voltage levels will also result in different kerosene adsorption coefficient models. Therefore, only when all three dimensions—sample type, transformer voltage level, and weight range—are consistent will a unique kerosene adsorption coefficient model be obtained.

[0041] Therefore, in practical scenarios, the same method can be used to construct kerosene adsorption coefficient models for different sample types, transformer voltage levels, and weight ranges.

[0042] The above scheme introduces a collaborative analysis framework encompassing three dimensions: sample type, transformer voltage level, and weight range. It also limits the drying process parameters for kerosene vapor-phase drying to all tested insulation components within the same voltage level and weight range, eliminating interference from process parameter differences on kerosene adsorption measurement data and ensuring the consistency and comparability of data used in subsequent fitting. Based on this, multiple tested insulation components (i.e., target tested insulation components) within the same sample type, voltage level, and weight range are normalized and subjected to multivariate fitting based on their sample weight, sample specific surface area, and measured kerosene adsorption amount to obtain a kerosene adsorption coefficient model. This avoids fitting bias caused by cross-dimensional data contamination and eliminates the scaling effect of sample weight differences on adsorption values, ensuring that the fitting results reflect the intrinsic adsorption law.

[0043] The above scheme comprehensively considers the influence of factors such as sample type, transformer voltage level, weight range, sample weight, and sample specific surface area on kerosene adsorption characteristics. For the same sample type, transformer voltage level, and weight range, a separate kerosene adsorption coefficient model is constructed. Compared to traditional measurement models determined by a single factor, this scheme exhibits extremely high measurement accuracy. Furthermore, it overcomes the shortcomings of traditional methods, such as limited measurement accuracy due to single factors and disconnect from industrial practice, significantly improving the measurement accuracy and engineering applicability of the kerosene adsorption coefficient.

[0044] It should be noted that the kerosene adsorption coefficient model constructed in the embodiments of this application is used to guide the insulation design adjustment of high flash point insulating oil transformers or the optimization of kerosene vapor phase drying process.

[0045] In some embodiments, the method further includes: determining the kerosene adsorption amount of a first type of insulating component to be tested using a gravimetric method; wherein the first type of insulating component to be tested is an insulating component to be tested whose sample weight is less than or equal to a preset weight threshold; and determining the kerosene adsorption amount of a second type of insulating component to be tested using chromatographic analysis; wherein the second type of insulating component to be tested is an insulating component to be tested whose sample weight is greater than a preset weight threshold.

[0046] The preset weight threshold refers to the critical weight value used to distinguish between different measurement methods. Its value is not unique; for example, in one embodiment, it can be set to 1 kg. The gravimetric method refers to a measurement method that directly calculates the amount of kerosene adsorbed by weighing the insulating component before and after kerosene vapor-phase drying treatment. The chromatographic analysis method refers to a measurement method that indirectly calculates the amount of kerosene adsorbed by measuring the kerosene concentration in the insulating oil after the insulating component is immersed using a gas chromatograph and combining this with material balance.

[0047] When determining the kerosene adsorption amount of the insulating component to be tested, the first step is to determine whether the sample weight of the insulating component is greater than a preset weight threshold. If the sample weight is less than or equal to the preset weight threshold, it is classified as a Class I insulating component (there can be one or more of these), and the kerosene adsorption amount is directly determined using a gravimetric method. This method is suitable for lightweight samples and offers high measurement accuracy. If the sample weight is greater than the preset weight threshold, it is classified as a Class II insulating component (again, there can be one or more of these), and the kerosene adsorption amount is indirectly determined using chromatographic analysis. This method is suitable for heavy samples and solves the problem of not being able to weigh them directly. Through this adaptive measurement strategy, both measurement accuracy and operational feasibility can be balanced across the entire weight range, avoiding the error accumulation of a single measurement method under extreme weight conditions.

[0048] The above scheme adaptively selects either gravimetric determination or chromatographic analysis to determine kerosene adsorption based on the relationship between the sample weight of the insulating component under test and a preset weight threshold. A high-precision gravimetric determination is used for lightweight samples, while a chromatographic analysis based on the two-phase equilibrium principle is used for heavier samples. This approach balances measurement accuracy and operational feasibility across different weight ranges, avoids systematic errors introduced by a single measurement method across the entire weight range, and thus comprehensively improves the accuracy of kerosene adsorption determination.

[0049] In some embodiments, the kerosene adsorption amount of the first type of insulating component to be tested is determined by gravimetric determination, including: obtaining the actual weight of the first type of insulating component to be tested after kerosene vapor phase drying; and determining the kerosene adsorption amount of the first type of insulating component to be tested based on the difference between the actual weight of the first type of insulating component to be tested and the sample weight.

[0050] In one embodiment, to ensure the accuracy of the sample weight, the insulating component to be tested may undergo a pre-drying treatment. Pre-drying treatment refers to the process of placing the insulating component to be tested in a vacuum drying oven and heating it to constant weight before kerosene vapor phase drying to remove its internal moisture. The sample weight can be understood as the mass of the insulating component measured after the pre-drying treatment, serving as the benchmark for subsequent weight difference calculations. The actual weight refers to the weight of the insulating component to be tested after completing the kerosene vapor phase drying treatment.

[0051] In determining the kerosene adsorption amount using the gravimetric method, the insulating component to be tested is first pre-dried before the kerosene vapor-phase drying treatment to remove internal moisture and avoid interference from moisture in the kerosene adsorption amount determination. After pre-drying, the sample weight of the insulating component is measured and recorded. Subsequently, the insulating component is placed in a kerosene vapor-phase drying environment for the prescribed drying treatment. For the first type of insulating component, its actual weight is measured after the drying treatment. The kerosene adsorption amount of the insulating component can be directly calculated based on the difference between the actual weight and the sample weight.

[0052] The above scheme, when using the gravimetric method, first pre-dries the insulating component to be tested to remove internal moisture before measuring the sample weight, thus avoiding the interference of moisture on the kerosene adsorption measurement. By calculating the difference between the actual weight of the kerosene before and after vapor-phase drying and the sample weight, the kerosene adsorption amount is obtained, ensuring the accuracy and repeatability of the measurement results for lightweight samples.

[0053] In some embodiments, the determination of the kerosene adsorption amount of the second type of insulating component under test by chromatographic analysis includes: immersing the second type of insulating component under test after kerosene vapor-phase drying in insulating oil; after standing immersion to reach two-phase equilibrium, taking a sample of the insulating oil for chromatographic analysis to determine the kerosene concentration; and determining the kerosene adsorption amount of the second type of insulating component under test based on the kerosene concentration.

[0054] Insulating oil refers to the type of high-flash-point insulating oil actually used in transformers, including synthetic ester insulating oil, natural ester insulating oil, or silicone oil. Two-phase equilibrium refers to a stable state where the kerosene concentration between the insulating components and the insulating oil reaches a point where the distribution of kerosene between the solid and liquid phases no longer changes over time. Kerosene concentration refers to the mass proportion of kerosene contained in a unit mass of insulating oil, determined by gas chromatography.

[0055] In the process of determining the kerosene adsorption amount using chromatographic analysis, the second type of insulating component to be tested, after undergoing kerosene vapor-phase drying, is first completely immersed in a fixed amount of insulating oil. It is then allowed to stand under constant temperature conditions until the second type of insulating component and the kerosene in the insulating oil reach a two-phase equilibrium. A sample of the insulating oil is then taken, and its kerosene concentration is determined using gas chromatography. Based on the measured kerosene concentration and the total mass of the insulating oil, the total amount of kerosene adsorbed on the second type of insulating component is calculated using material balance formulas.

[0056] The above scheme, when using chromatographic analysis, involves immersing the kerosene-dried insulating component in insulating oil and then determining the kerosene concentration by chromatographic analysis after static soaking to achieve two-phase equilibrium. This indirectly determines the amount of kerosene adsorbed, solving the problem that heavy insulating components cannot be directly weighed and ensuring the scientific nature of the measurement process and the accuracy of the results.

[0057] In some embodiments, the kerosene adsorption coefficient model is determined by normalizing and performing multivariate fitting based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulating component. This includes: normalizing the kerosene adsorption amount of the target insulating component to obtain the kerosene adsorption amount per unit weight of the target insulating component; performing regression fitting analysis based on the kerosene adsorption amount per unit weight of the target insulating component, the sample weight, and the sample specific surface area to determine the model coefficients; and determining the kerosene adsorption coefficient model based on the model coefficients.

[0058] The kerosene adsorption capacity per unit weight refers to the value obtained by dividing the measured kerosene adsorption capacity by the sample weight. It characterizes the weight of kerosene adsorbed per unit weight of the tested insulating component, expressed in grams per kilogram (g / kg). This value is used to eliminate the influence of sample weight differences on the adsorption capacity. Regression fitting analysis refers to the process of using statistical analysis methods, with the kerosene adsorption capacity per unit weight as the dependent variable and sample weight, sample specific surface area, etc., as independent variables, to fit and determine the model coefficients. Model coefficients refer to the constant parameters determined through regression analysis in the kerosene adsorption coefficient model.

[0059] In the normalization and multivariate fitting process, firstly, for multiple test insulation components (i.e., target test insulation components) under the same sample type, transformer voltage level, and weight range, their measured kerosene adsorption amounts are normalized by dividing the total kerosene adsorption amount by the sample weight of each component to obtain the kerosene adsorption amount per unit weight for each target test insulation component. Then, using these kerosene adsorption amounts per unit weight as the dependent variable and the sample specific surface area and sample weight of each target test insulation component as independent variables, regression fitting analysis is performed to determine the model coefficients. Finally, a kerosene adsorption coefficient model for this dimension is constructed based on the determined model coefficients.

[0060] It is understandable that a similar approach can be used for different dimensions (i.e., combinations of different sample types, transformer voltage levels, and weight ranges). Each insulation component under test within that dimension is taken as the target insulation component, and the corresponding kerosene adsorption coefficient model is determined. Thus, when calculating the kerosene adsorption coefficient, the kerosene adsorption coefficient model is first matched with the type of transformer insulation component, the transformer voltage level, and the weight range. Then, its weight and specific surface area are substituted into the model to calculate the kerosene adsorption coefficient.

[0061] The above scheme normalizes the kerosene adsorption amounts of multiple test insulation components to obtain the kerosene adsorption amount per unit weight, thus eliminating the influence of sample weight differences on the adsorption amount. Subsequently, regression fitting analysis is performed based on the kerosene adsorption amount per unit weight to determine the model coefficients. This ensures that the constructed kerosene adsorption coefficient model accurately reflects the adsorption patterns of different test insulation components under specific process conditions, improving the prediction accuracy of the adsorption coefficient.

[0062] In some embodiments, the kerosene adsorption coefficient model includes: independent terms of sample weight and sample specific surface area on the kerosene adsorption coefficient, and interaction terms of sample weight and sample specific surface area on the kerosene adsorption coefficient.

[0063] Independent terms in the kerosene adsorption coefficient model refer to mathematical terms that contain only sample weight or only sample surface area as independent variables, describing the linear contribution of a single variable to the kerosene adsorption coefficient. Interaction terms in the kerosene adsorption coefficient model include both sample weight and sample surface area, describing the nonlinear synergistic effect of both on the kerosene adsorption coefficient; typically, interaction terms consist of the product of sample weight and sample surface area.

[0064] The kerosene adsorption coefficient model in this embodiment includes both independent terms and interaction terms. By introducing the interaction term to describe the coupling effect between the sample specific surface area and the sample weight, the kerosene adsorption coefficient model can more accurately fit the real adsorption behavior and significantly improve the prediction accuracy of the kerosene adsorption coefficient across the entire weight and specific surface area range.

[0065] In some embodiments, the kerosene adsorption coefficient model includes: ,in, Indicates the first The test insulation component of the sample type, in the first The voltage level of the transformer, the first Kerosene adsorption coefficients in various weight ranges Indicates the specific surface area of ​​the sample. Indicates the sample weight. , , and These represent the model coefficients.

[0066] The scheme in this embodiment introduces an interaction term between sample specific surface area and sample weight on the basis of the traditional linear model, that is... This allows for a more precise description of the coupled influence of both factors on the kerosene adsorption coefficient. For different sample types, transformer voltage levels, and weight ranges, the model coefficients... , , and Obtained through regression analysis of experimental data in the corresponding dimensions.

[0067] The above scheme introduces an interaction term between the sample specific surface area and the sample weight into the kerosene adsorption coefficient model, which can more accurately describe the nonlinear coupling relationship between the kerosene adsorption coefficient and the geometric and physical properties of the insulation component under test. Compared with the model that only considers a single variable, it significantly improves the goodness of fit and the accuracy of characterization.

[0068] Please see Figure 2 In some embodiments, the method further includes step 202.

[0069] Step 202: Obtain a verification sample and use the verification sample to verify the kerosene adsorption coefficient model.

[0070] Among them, the sample type, transformer voltage, and weight range of the verification sample are the same as those of the kerosene adsorption coefficient model, and at least one of the sample weight and sample specific surface area of ​​the verification sample is different from those of the kerosene adsorption coefficient model.

[0071] Validation samples refer to independent insulation component samples used to verify the accuracy of the constructed kerosene adsorption coefficient model. After the kerosene adsorption coefficient model is constructed, validation samples are obtained. These validation samples have the same sample type, transformer voltage level, and weight range as the constructed kerosene adsorption coefficient model in the three dimensions, but their sample weight and / or specific surface area differ from the samples used during model construction. That is, the sample weight of the validation samples differs from the sample weight of the insulation component used during model construction, and / or, the specific surface area of ​​the validation samples differs from the specific surface area of ​​the insulation component used during model construction. Independently validating the kerosene adsorption coefficient model using these validation samples effectively assesses the model's predictive ability on similar but non-training samples, ensuring the model's reliability and generalization ability in practical engineering applications.

[0072] The above approach, by obtaining validation samples with the same sample type, transformer voltage level, and weight range as the kerosene adsorption coefficient model, but different sample weights and / or specific surface areas, can effectively evaluate the model's generalization ability on similar but non-training samples, ensuring the reliability and stability of the constructed kerosene adsorption coefficient model in practical engineering applications.

[0073] Please see Figure 3 In some embodiments, the kerosene adsorption coefficient model is validated with a validation sample, including steps 302, 304 and 306.

[0074] Step 302: After performing the same kerosene vapor-phase drying on the verification sample, determine the kerosene adsorption capacity per unit weight of the verification sample.

[0075] Step 304: Substitute the sample weight and specific surface area of ​​the verification sample into the kerosene adsorption coefficient model for calculation to obtain the measured kerosene adsorption coefficient.

[0076] Step 306: Validate the kerosene adsorption coefficient model based on the unit weight kerosene adsorption amount of the validation sample and the measured kerosene adsorption coefficient.

[0077] The measured kerosene adsorption coefficient refers to the predicted value obtained by substituting the sample weight and specific surface area of ​​the validation sample into the established kerosene adsorption coefficient model. During the validation process, the validation sample is first subjected to the same kerosene vapor-phase drying treatment as the modeling sample, and the total amount of kerosene adsorbed is measured. The kerosene adsorption per unit weight of the validation sample is then calculated as the measured value. Simultaneously, the sample weight and specific surface area of ​​the validation sample are substituted into the established kerosene adsorption coefficient model to calculate the measured kerosene adsorption coefficient as the predicted value. The measured kerosene adsorption per unit weight is compared with the predicted measured kerosene adsorption coefficient, and the accuracy of the model's prediction is evaluated based on the magnitude of the deviation between the two.

[0078] For example, in one embodiment, the sample is described as having a transformer voltage level of 110kV, a sample type of crepe paper, and a weight range of 0.1kg-1kg.

[0079] This embodiment selected multiple parallel samples with different specific surface areas and weights under the above dimensions for experiments. Based on the measured kerosene adsorption amount, normalization and multivariate fitting were performed to obtain four model coefficients: a=0.20, b=-0.01, c=0.002, d=0.12. At this point, we obtain... An additional verification sample from the same batch, but with different parameters, was selected: 110kV, crepe paper, sample weight m = 0.60kg, sample specific surface area S = 0.47m² / g. The same steps were repeated for testing to obtain the kerosene adsorption capacity M.ads =0.13g, the kerosene adsorption capacity per unit weight k is calculated. meas =M ads / m=0.216g / kg. Substituting the sample weight m and sample specific surface area S of the above verification sample into the above formula, we can calculate... 0.208g / kg.

[0080] After verification, the relative error between the actual value and the model prediction was 3.7%, which is within the allowable error range for engineering, effectively verifying the accuracy and reliability of the established kerosene adsorption coefficient model.

[0081] The above scheme obtains the measured kerosene adsorption coefficient by substituting the sample weight and specific surface area of ​​the verification sample into the kerosene adsorption coefficient model, and compares it with the measured kerosene adsorption amount per unit weight. This achieves quantitative verification of the model's prediction accuracy, provides an objective basis for model correction or engineering applications, and further improves the confidence of the kerosene adsorption coefficient measurement results.

[0082] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages in other steps. It is understood that the steps in different embodiments can be freely combined as needed, and all non-contradictory solutions formed by such combinations are within the scope of protection of this application.

[0083] Please see Figure 4 This application discloses a kerosene adsorption coefficient model construction system, comprising: a sample parameter acquisition device 401, a kerosene vapor phase drying device 402, an adsorption measurement device 403, and a control device 404. The sample parameter acquisition device 401 is used to determine the sample weight and specific surface area of ​​the insulating component to be tested; the kerosene vapor phase drying device 402 is used to perform kerosene vapor phase drying on the insulating component to be tested; the adsorption measurement device 403 is used to measure the amount of kerosene adsorbed on the insulating component to be tested; the control device 404 is connected to the sample parameter acquisition device 401, the kerosene vapor phase drying device 402, and the adsorption measurement device 403, and the control device 404 is used to execute the steps of the above-described kerosene adsorption coefficient model construction method.

[0084] The sample parameter acquisition device 401 typically includes a combination of equipment for acquiring the sample weight and specific surface area of ​​the insulating component under test. For example, it may include an electronic balance and a specific surface area analyzer. The kerosene vapor phase drying device 402 refers to industrial-grade kerosene vapor phase drying equipment, including a heating system, a vacuum system, and a kerosene evaporation and recovery system, used to perform a prescribed drying treatment on the insulating component under test. The adsorption determination device 403 refers to equipment used to determine the amount of kerosene adsorbed on the insulating component under test, including a high-precision balance required for gravimetric determination, or a gas chromatograph, constant temperature immersion device, etc., required for chromatographic analysis. If gravimetric determination is used, the adsorption determination device 403 can directly use the balance in the sample parameter acquisition device 401. The control device 404 refers to the central control unit and its dedicated software, used to connect and control the various devices and execute the steps of the model building method.

[0085] In the kerosene adsorption coefficient model construction system, the sample parameter acquisition device 401 is used to determine the sample type, sample weight, sample specific surface area, and the transformer voltage level and weight range of the insulating component to be tested; the kerosene vapor phase drying treatment device 402 is used to perform kerosene vapor phase drying on the insulating component to be tested under the determined drying process parameters; the adsorption measurement device 403 is used to measure the amount of kerosene adsorbed on the insulating component after drying; and the control device 404 is connected to the sample parameter acquisition device 401, the kerosene vapor phase drying treatment device 402, and the adsorption measurement device 403 respectively.

[0086] For example, in one embodiment, the sample parameter acquisition device 401 is equipped with a high-precision electronic balance (for weight measurement) and a specific surface area analyzer (such as an adsorption apparatus based on the BET principle). Measurement data from these instruments are transmitted to the control device 404 via a data interface (such as RS-232, USB, or Ethernet). Dedicated software running in the control device 404 provides a human-machine interface for manually or automatically inputting data such as sample type and transformer voltage level, and for receiving and storing weight and specific surface area data from the balance and the specific surface area analyzer, thereby completing the digital acquisition of sample parameters.

[0087] The control device 404 can also call up the corresponding standard process parameters (such as heating time and vacuum degree setting value) stored in the database according to the preset or input transformer level and insulation weight range, and send control commands to the drying equipment to drive it to complete the specified drying process.

[0088] The above scheme connects the sample parameter acquisition device 401, the kerosene vapor phase drying treatment device 402, and the adsorption measurement device 403 through the control device 404, realizing the fully automated and coordinated control of the entire process from acquiring the parameters of the insulating component to be tested, drying treatment to measuring the kerosene adsorption amount. This reduces the errors introduced by manual operation and ensures the consistency of the kerosene adsorption coefficient model construction process and the high accuracy of the results.

[0089] In some embodiments, the system includes at least one of the following: first, the insulating component to be tested includes at least one of cellulose insulating components, aromatic polyamide paper insulating components, and epoxy composite material insulating components; second, the transformer voltage level includes at least one of 110 kV, 220 kV, and 500 kV; and third, the drying process parameters include heating time and vacuum degree.

[0090] Cellulose-based insulation components include insulating paper, crepe paper, insulating paper tubes, cellulose paperboard, etc., which are insulating materials with natural cellulose as the base material. Aromatic polyamide paper-based insulation components include aromatic polyamide paper, aromatic polyamide paperboard, aromatic polyamide molded parts, etc., which are insulating materials with aromatic polyamide fibers as the base material. Epoxy composite material insulation components include epoxy glass cloth laminates, epoxy molding compounds, etc., which are insulating materials with epoxy resin as the matrix and glass fiber as the reinforcing material. Transformer voltage level refers to the rated voltage of the transformer; this system limits it to 110 kV, 220 kV, and 500 kV. Drying process parameters refer to the core control parameters in the kerosene vapor phase drying process; this system limits them to heating time and vacuum degree. Specifically, the heating time during the heating stage is 20-100 hours, and the vacuum degree is no greater than 100 Pa, the specific value determined based on the transformer voltage level and weight range.

[0091] It should be noted that, in one embodiment, the sample weight of the insulating component ranges from 0.1 kg to 300 kg, and the specific surface area of ​​the sample is measured by gas adsorption method, with a measurement range of 0.1 m² / g to 5.0 m² / g.

[0092] It is understood that, in one embodiment, to ensure the accuracy of sample weight measurement, an electronic balance with an accuracy of 1 mg and a measurement limit of not less than 1 kg should be used.

[0093] The above scheme, by limiting the insulation components to be tested to cover typical insulation materials such as cellulose, aromatic polyamide paper, and epoxy composite materials, and by covering mainstream voltage levels such as 110 kV, 220 kV, and 500 kV for transformers, and by using heating time and vacuum degree as drying process parameters, ensures that the kerosene adsorption coefficient model constructed by the system can cover key application scenarios in transformer manufacturing, thereby improving the engineering representativeness and applicability of the measurement results.

[0094] To facilitate understanding of the technical solution of this application, the following detailed embodiments will be used to explain and illustrate this application.

[0095] First, select a batch of insulating components to be tested. For each insulating component, perform the following operations:

[0096] Determine the sample type: For example, the insulation component belongs to one of the following categories: cellulose-based insulation (such as insulating paperboard, crepe paper), aromatic polyamide paper insulation, or epoxy composite insulation. Measure the sample weight: Weigh the initial mass of the insulation component using a high-precision electronic balance and record it as the sample weight. Measure the sample specific surface area: Analyze the microstructure of the insulation component using a gas adsorption method to obtain its surface area per unit mass, and record this as the sample specific surface area.

[0097] Record the transformer voltage level to which the insulation component belongs: for example, 110 kV, 220 kV, or 500 kV. Based on the sample weight, divide it into weight ranges; for example, divide the weight range into several segments and determine the range to which the current sample belongs.

[0098] Then, for multiple insulation components under test with the same transformer voltage level and weight range, the drying process parameters are determined by combining the pre-stored correspondence between transformer voltage level, weight range, and drying process parameters within the control device. These parameters are then used to perform kerosene vapor-phase drying on the insulation components. After kerosene vapor-phase drying, the mass of kerosene adsorbed on the insulation components needs to be measured, i.e., the amount of kerosene adsorbed. The measurement method is adaptively selected based on the relationship between the sample weight and a preset weight threshold. When the sample weight is less than or equal to the preset weight threshold (i.e., a light sample), a gravimetric method is used; when the sample weight is greater than the preset weight threshold (i.e., a heavy sample), a chromatographic analysis method is used.

[0099] For multiple insulation components of the same sample type, transformer voltage level, and weight range (with different sample weights and specific surface areas), the measured kerosene adsorption amounts are normalized. This is achieved by dividing the kerosene adsorption amount of each insulation component by its sample weight to obtain the kerosene adsorption amount per unit weight (the mass of kerosene adsorbed per unit mass of insulation component).

[0100] Finally, the control device performed a regression fitting analysis with the kerosene adsorption amount per unit weight as the dependent variable and the sample specific surface area (S) and sample weight (m) as independent variables. During the fitting process, the model included not only independent terms for sample weight and sample specific surface area, but also their interaction term (i.e., the product of S and m) to describe their nonlinear synergistic effect on the kerosene adsorption coefficient. Ultimately, a kerosene adsorption coefficient model was constructed for this specific dimension (sample type, transformer voltage level, weight range).

[0101] To verify the accuracy of the constructed kerosene adsorption coefficient model, additional verification samples were obtained. These verification samples met the following conditions: the sample type, transformer voltage level, and weight range were exactly the same as the three dimensions of the kerosene adsorption coefficient model to be verified; and the sample weight and / or sample specific surface area of ​​the verification samples were different from those used in the modeling (i.e., they were independent samples belonging to the same dimension but with different parameters).

[0102] The validation sample underwent the same kerosene vapor-phase drying treatment as the modeling sample (using the same drying process parameters). Then, its kerosene adsorption capacity was determined according to the aforementioned method (selecting either gravimetric analysis or chromatographic analysis based on its weight), and the kerosene adsorption capacity per unit weight of the validation sample was normalized as the measured value. The sample weight and specific surface area of ​​the validation sample were substituted into the constructed kerosene adsorption coefficient model for calculation to obtain the measured kerosene adsorption coefficient (i.e., the model predicted value).

[0103] The measured values ​​are compared with the model predictions, and the relative deviation between the two is calculated. If the deviation is within the allowable error range for engineering, the verification is successful, indicating that the model has high prediction accuracy; if the deviation exceeds the range, the model coefficients can be adjusted or more samples can be added for refitting.

[0104] Based on the same inventive concept, this application also provides a kerosene adsorption coefficient model building apparatus for implementing the kerosene adsorption coefficient model building method described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the kerosene adsorption coefficient model building apparatus provided below can be found in the limitations of the kerosene adsorption coefficient model building method described above, and will not be repeated here.

[0105] Please see Figure 5 This application provides a kerosene adsorption coefficient model construction device, including a parameter acquisition module 502, a drying treatment module 504, an adsorption analysis module 506, and a model construction module 508.

[0106] The parameter acquisition module 502 is used to acquire the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested; the drying process module 504 is used to determine the drying process parameters based on the transformer voltage level and weight range, and to perform kerosene vapor phase drying on the insulation component to be tested using the drying process parameters; the adsorption analysis module 506 is used to determine the amount of kerosene adsorbed by each insulation component to be tested after the kerosene vapor phase drying is completed; the model construction module 508 is used to perform normalization and multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component to be tested, and to determine the kerosene adsorption coefficient model.

[0107] In one embodiment, the adsorption analysis module 506 is further configured to determine the kerosene adsorption amount of the first type of insulating component to be tested by gravimetric determination and to determine the kerosene adsorption amount of the second type of insulating component to be tested by chromatographic analysis.

[0108] In one embodiment, the adsorption analysis module 506 is further configured to obtain the actual weight of the first type of insulating component to be tested after kerosene vapor phase drying; and to determine the amount of kerosene adsorbed by the first type of insulating component to be tested based on the difference between the actual weight of the first type of insulating component to be tested and the sample weight.

[0109] In one embodiment, the adsorption analysis module 506 is further used to immerse the second type of insulating component to be tested after the kerosene vapor phase is dried in insulating oil; after the two phases are balanced by static immersion, the insulating oil is sampled and subjected to chromatographic analysis to determine the kerosene concentration; and based on the kerosene concentration, the amount of kerosene adsorbed by the second type of insulating component to be tested is determined.

[0110] In one embodiment, the model building module 508 is further configured to normalize the kerosene adsorption amount of the target insulation component to obtain the kerosene adsorption amount per unit weight of the target insulation component; perform regression fitting analysis based on the kerosene adsorption amount per unit weight of the target insulation component, the sample weight, and the sample specific surface area to determine the model coefficients; and determine the kerosene adsorption coefficient model based on the model coefficients.

[0111] Please see Figure 6 In one embodiment, the device further includes a model verification module 602.

[0112] The model validation module 602 is used to obtain validation samples and validate the kerosene adsorption coefficient model using the validation samples.

[0113] In one embodiment, the model verification module 602 is further configured to determine the kerosene adsorption capacity per unit weight of the verification sample after performing the same kerosene vapor-phase drying on the verification sample; substitute the sample weight and sample specific surface area of ​​the verification sample into the kerosene adsorption coefficient model for calculation to obtain the measured kerosene adsorption coefficient; and verify the kerosene adsorption coefficient model based on the kerosene adsorption capacity per unit weight and the measured kerosene adsorption coefficient.

[0114] Each module in the aforementioned kerosene adsorption coefficient model construction device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0115] In one embodiment, this application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0116] Obtain the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested; determine the drying process parameters based on the transformer voltage level and weight range, and perform kerosene vapor-phase drying on the insulation component to be tested using the drying process parameters; after the kerosene vapor-phase drying is completed, determine the kerosene adsorption amount of each insulation component to be tested; perform normalization and multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component to determine the kerosene adsorption coefficient model.

[0117] In one embodiment, this application provides a computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0118] Obtain the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested; determine the drying process parameters based on the transformer voltage level and weight range, and perform kerosene vapor-phase drying on the insulation component to be tested using the drying process parameters; after the kerosene vapor-phase drying is completed, determine the kerosene adsorption amount of each insulation component to be tested; perform normalization and multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component to determine the kerosene adsorption coefficient model.

[0119] In one embodiment, this application provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0120] Obtain the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested; determine the drying process parameters based on the transformer voltage level and weight range, and perform kerosene vapor-phase drying on the insulation component to be tested using the drying process parameters; after the kerosene vapor-phase drying is completed, determine the kerosene adsorption amount of each insulation component to be tested; perform normalization and multivariate fitting processing based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component to determine the kerosene adsorption coefficient model.

[0121] The technical features of the above embodiments can be combined in any way. For the sake of brevity, 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.

[0122] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for constructing a kerosene adsorption coefficient model, characterized in that, include: Obtain the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component to be tested; The drying process parameters are determined based on the transformer voltage level and the weight range, and the insulating component to be tested is subjected to kerosene vapor phase drying using the drying process parameters; wherein the drying process parameters are the same for insulating components to be tested that are in the same transformer voltage level and the same weight range. After the kerosene vapor phase drying is completed, determine the amount of kerosene adsorbed on each of the tested insulating components; Based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component under test, a kerosene adsorption coefficient model is determined through normalization and multivariate fitting. The target insulation component under test includes multiple insulation components of the same sample type, belonging to the same transformer voltage level and the same weight range. The kerosene adsorption coefficient model characterizes the correspondence between sample weight, sample specific surface area, and kerosene adsorption coefficient, and is used to calculate the kerosene adsorption coefficient of the transformer insulation component. A verification sample is obtained, and the kerosene adsorption coefficient model is verified using the verification sample; wherein the sample type, transformer voltage, and weight range of the verification sample are the same as those of the kerosene adsorption coefficient model, and at least one of the sample weight and sample specific surface area of ​​the verification sample is different from those of the kerosene adsorption coefficient model.

2. The method for constructing the kerosene adsorption coefficient model according to claim 1, characterized in that, The method further includes: The kerosene adsorption amount of the first type of insulating component to be tested is determined by gravimetric measurement; wherein, the first type of insulating component to be tested is the insulating component to be tested whose sample weight is less than or equal to a preset weight threshold. The kerosene adsorption amount of the second type of insulating component to be tested is determined by chromatographic analysis; wherein, the second type of insulating component to be tested is the insulating component whose sample weight is greater than the preset weight threshold.

3. The method for constructing the kerosene adsorption coefficient model according to claim 2, characterized in that, The determination of the kerosene adsorption amount of the first type of insulating component to be tested using the gravimetric method includes: Obtain the actual weight of the first type of insulating component after drying in the kerosene vapor phase; The kerosene adsorption amount of the first type of insulating component under test is determined based on the difference between the actual weight of the first type of insulating component under test and the sample weight.

4. The method for constructing the kerosene adsorption coefficient model according to claim 2, characterized in that, The determination of kerosene adsorption amount of the second type of insulating component using chromatographic analysis includes: The second type of insulating component to be tested, after being dried in the vapor phase of kerosene, is immersed in insulating oil. After the insulating oil has been allowed to stand and soak until it reaches a two-phase equilibrium, a sample is taken and subjected to chromatographic analysis to determine the kerosene concentration. The amount of kerosene adsorbed by the second type of insulating component under test is determined based on the kerosene concentration.

5. The method for constructing the kerosene adsorption coefficient model according to claim 1, characterized in that, The process of determining the kerosene adsorption coefficient model by normalizing and performing multivariate fitting based on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulating component includes: The kerosene adsorption amount of the target insulating component is normalized to obtain the kerosene adsorption amount per unit weight of the target insulating component. The model coefficients are determined by regression fitting analysis based on the kerosene adsorption per unit weight of the target insulating component, the sample weight, and the sample specific surface area. Based on the model coefficients, determine the kerosene adsorption coefficient model.

6. The method for constructing the kerosene adsorption coefficient model according to claim 5, characterized in that, The kerosene adsorption coefficient model includes: independent terms of the sample weight and the sample specific surface area with respect to the kerosene adsorption coefficient, and interaction terms of the sample weight and the sample specific surface area with respect to the kerosene adsorption coefficient.

7. The method for constructing the kerosene adsorption coefficient model according to claim 1, characterized in that, The verification of the kerosene adsorption coefficient model using the verification sample includes: After subjecting the verification samples to the same kerosene vapor-phase drying process, the kerosene adsorption capacity per unit weight of the verification samples was determined. The sample weight and specific surface area of ​​the verification sample are substituted into the kerosene adsorption coefficient model for calculation to obtain the measured kerosene adsorption coefficient. The kerosene adsorption coefficient model is validated based on the kerosene adsorption capacity per unit weight of the validation sample and the measured kerosene adsorption coefficient.

8. A device for constructing a kerosene adsorption coefficient model, characterized in that, include: The parameter acquisition module is used to acquire the sample type, sample weight, sample specific surface area, transformer voltage level, and weight range of the insulation component under test. A drying module is used to determine drying process parameters based on the transformer voltage level and the weight range, and to perform kerosene vapor phase drying on the insulation component to be tested using the drying process parameters; wherein the drying process parameters are the same for each insulation component to be tested that is at the same transformer voltage level and the same weight range; The adsorption analysis module is used to determine the amount of kerosene adsorbed on each of the tested insulating components after the kerosene vapor phase drying is completed. The model building module is used to determine the kerosene adsorption coefficient model by performing normalization and multivariate fitting processing on the sample weight, sample specific surface area, and kerosene adsorption amount of the target insulation component under test; wherein, the target insulation component under test includes multiple insulation components of the same sample type, and located at the same transformer voltage level and the same weight range; the kerosene adsorption coefficient model characterizes the correspondence between sample weight, sample specific surface area, and kerosene adsorption coefficient, and the kerosene adsorption coefficient model is used to calculate the kerosene adsorption coefficient of the transformer insulation component; The model verification module is used to obtain verification samples and verify the kerosene adsorption coefficient model using the verification samples; wherein the sample type, transformer voltage, and weight range of the verification samples are the same as those of the kerosene adsorption coefficient model, and at least one of the sample weight and sample specific surface area of ​​the verification samples is different from those of the kerosene adsorption coefficient model.

9. A kerosene adsorption coefficient model construction system, characterized in that, include: The sample parameter acquisition device is used to determine the weight and specific surface area of ​​the insulating component sample to be tested. A kerosene vapor phase drying device is used to perform kerosene vapor phase drying on the insulating component to be tested; An adsorption measuring device is used to measure the amount of kerosene adsorbed on the insulating component under test. A control device is connected to the sample parameter acquisition device, the kerosene vapor phase drying device, and the adsorption measurement device. The control device is used to execute the steps of the kerosene adsorption coefficient model construction method according to any one of claims 1-7.

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