Method, device and equipment for calculating water content of electrical insulating paperboard and storage medium

Abstract

This application discloses a method, apparatus, equipment, and storage medium for calculating the moisture content of electrical insulation paperboard, relating to the field of transformer technology. The method for calculating the moisture content of electrical insulation paperboard includes: collecting data on the exposure time and environment of the target transformer body; calculating the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with a moisture absorption rate calculation model; calculating the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with a stage saturated moisture content calculation model; and calculating the moisture content of the electrical insulation paperboard based on the exposure time, moisture absorption rate, and stage saturated moisture content. This method achieves accurate calculation of the moisture content of electrical insulation paperboard based on environmental information and a constructed calculation model without damaging the paperboard, improving the efficiency of moisture content calculation while ensuring real-time performance.

Description

Technical Field

[0001] This application relates to the field of transformer technology, and in particular to methods, apparatus, equipment and storage media for calculating the moisture content of electrical insulating paperboard. Background Technology

[0002] Electrical insulation paperboard is the most commonly used and core insulation material in power transformers. The service life of a power transformer largely depends on the life of this insulation paperboard. Excessive moisture in the insulation paperboard can lead to decreased insulation performance and even accidents. Therefore, timely detection and control of the moisture content in the insulation paperboard is crucial. Current detection methods follow GB / T 462 "Determination of Moisture Content in Paper, Paperboard and Pulp Analytical Samples". One method is the oven drying method, which calculates the moisture content by the mass difference before and after drying. The other method is the Karl Fischer titration method, which is a chemical method based on the quantitative reaction of iodine and sulfur dioxide with water in the presence of pyridine and methanol to accurately determine trace amounts of moisture in the insulation paperboard.

[0003] The above methods have the following shortcomings. First, they are destructive testing methods, and samples cannot be obtained directly from transformer products; specially prepared samples are required. Second, if the protection is not in place, the samples will absorb moisture from the air during the transportation process from the transformer production site to the laboratory, which will lead to distorted test results. Finally, each sample takes more than one hour from sampling to the end of testing, which is inefficient and lacks timeliness. Summary of the Invention

[0004] The main objective of this application is to provide a method, apparatus, equipment, and storage medium for calculating the moisture content of electrical insulating paperboard, aiming to solve the technical problems of poor timeliness and low efficiency in detecting the moisture content of electrical insulating paperboard.

[0005] To achieve the above objectives, this application proposes a method for calculating the moisture content of electrical insulating paperboard, the method comprising: Collect data on the exposure time and environment of the target transformer body; Based on the transformer body exposure time and environmental data combined with the moisture absorption rate calculation model, the moisture absorption rate of the electrical insulation paperboard of the target transformer body is calculated. Based on the transformer body exposure time and environmental data combined with the stage saturated moisture content calculation model, the stage saturated moisture content of the electrical insulation paperboard of the target transformer body is calculated. The moisture content of electrical insulation paperboard is calculated based on the exposure time of the circuit board, the moisture absorption rate, and the stage saturation moisture content.

[0006] Optionally, the steps of calculating the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the transformer body exposure time and environmental data combined with the moisture absorption rate calculation model, and calculating the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the transformer body exposure time and environmental data combined with the stage saturated moisture content calculation model, include: The exposure time of the transformer body is compared with a preset range, and the moisture absorption condition category of the target transformer body is determined based on the comparison results; Based on the categories of moisture absorption conditions, environmental data, and a moisture absorption rate calculation model, the moisture absorption rate is calculated. Similarly, based on the categories of moisture absorption conditions, environmental data, and a stage saturated moisture content calculation model, the stage saturated moisture content is calculated.

[0007] Optionally, the steps of calculating the moisture absorption rate based on the moisture absorption condition category, environmental data, and moisture absorption rate calculation model, and calculating the stage saturated moisture content based on the moisture absorption condition category, environmental data, and stage saturated moisture content calculation model, include: A moisture absorption rate calculation model was constructed, and the moisture absorption rate of electrical insulation paperboard was calculated based on the moisture absorption rate calculation model, moisture absorption condition categories, and environmental data. A stage saturation moisture content calculation model was constructed, and the stage saturation moisture content of electrical insulation paperboard was calculated based on the stage saturation moisture content calculation model, moisture absorption condition categories, and environmental data.

[0008] Optionally, the steps for calculating the moisture absorption rate of electrical insulating paperboard based on the moisture absorption rate calculation model, moisture absorption condition category, and environmental data include: Based on the category of moisture absorption conditions, the first prefactor corresponding to the moisture absorption activation energy parameter and material properties of electrical insulating paperboard is determined. Based on environmental data, determine the target gas constant and ambient temperature; The moisture absorption rate of electrical insulating paperboard is calculated by substituting the moisture absorption activation energy parameter, the first pre-factor, the target gas constant, and the ambient temperature into the moisture absorption rate calculation model.

[0009] Optionally, the steps for calculating the stage saturated moisture content of electrical insulating paperboard based on the stage saturated moisture content calculation model, moisture absorption condition category, and environmental data include: The second prefactor corresponding to the moisture absorption activation energy parameter and material properties of electrical insulating paperboard is determined based on the category of moisture absorption conditions. The target gas constant, ambient temperature, humidity influence coefficient, and ambient relative humidity are determined based on environmental data. The moisture absorption activation energy parameter, the second pre-factor, the target gas constant, the ambient temperature, the humidity influence coefficient, and the ambient relative humidity are substituted into the stage saturated moisture content calculation model to calculate the stage saturated moisture content of electrical insulation paperboard.

[0010] Optionally, the steps for calculating the moisture content of electrical insulation paperboard based on the exposure time of the insulation body, the moisture absorption rate, and the stage saturation moisture content include: Construct a water content calculation model; The moisture content of electrical insulating paperboard was obtained by substituting the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content into the moisture content calculation model.

[0011] Optionally, the steps for collecting data on the exposure time and environment of the target transformer core include: When the target transformer body is dried and removed from the drying tank, determine the moment when the target transformer body drying tank is emptied. The exposure time of the reactor body is determined based on the moment when the drying tank of the reactor body is emptied. Collect temperature and humidity information of the environment in which the target transformer is located; Environmental data is determined based on temperature and humidity information.

[0012] Furthermore, to achieve the above objectives, this application also proposes a device for calculating the moisture content of electrical insulating paperboard, the device comprising: The data acquisition module is used to collect data on the exposure time of the target transformer body and the environment. The parameter calculation module is used to calculate the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time of the transformer body and environmental data combined with the moisture absorption rate calculation model, and to calculate the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time of the transformer body and environmental data combined with the stage saturated moisture content calculation model. The moisture content calculation module is used to calculate the moisture content of electrical insulation paperboard based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content.

[0013] In addition, to achieve the above objectives, this application also proposes a device for calculating the moisture content of electrical insulating paperboard. The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. The computer program is configured to implement the steps of the method for calculating the moisture content of electrical insulating paperboard as described above.

[0014] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, storing a computer program on the storage medium. When the computer program is executed by a processor, it implements the steps of the method for calculating the moisture content of electrical insulating paperboard as described above.

[0015] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the method for calculating the moisture content of electrical insulating paperboard as described above.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: This application collects data on the exposure time and environment of the target transformer body; based on this exposure time and environmental data, and combined with a moisture absorption rate calculation model, it calculates the moisture absorption rate of the electrical insulation paperboard of the target transformer body; and based on this exposure time and environmental data, and combined with a stage saturated moisture content calculation model, it calculates the stage saturated moisture content of the electrical insulation paperboard of the target transformer body; finally, it calculates the moisture content of the electrical insulation paperboard based on the exposure time, moisture absorption rate, and stage saturated moisture content. In this way, it achieves accurate moisture content calculation based on the environmental information of the electrical insulation paperboard, combined with a specially constructed model for calculating moisture absorption rate and stage saturated moisture content, without damaging the paperboard itself. This not only ensures real-time calculation but also improves the efficiency of moisture content calculation. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

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

[0019] Figure 1 This is a flowchart illustrating an embodiment of the method for calculating the moisture content of electrical insulating paperboard in this application. Figure 2 This is a flowchart illustrating Example 2 of the method for calculating the moisture content of electrical insulating paperboard in this application. Figure 3 This is a simplified flowchart of one embodiment of the method for calculating the moisture content of electrical insulating paperboard in this application; Figure 4 This is a schematic diagram of the module structure of the electrical insulation paperboard moisture content calculation device according to an embodiment of this application; Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the method for calculating the moisture content of electrical insulating paperboard in the embodiments of this application.

[0020] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0022] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of this application embodiment is: to collect the exposure time and environmental data of the target transformer body; to calculate the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data and the moisture absorption rate calculation model; and to calculate the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data and the stage saturated moisture content calculation model; and to calculate the moisture content of the electrical insulation paperboard based on the exposure time, the moisture absorption rate, and the stage saturated moisture content.

[0024] In this embodiment, for ease of description, the following description will use the identification computer as the execution subject.

[0025] Since electrical insulation paperboard is the most commonly used and core insulation material in power transformers, and the service life of power transformers mainly depends on the life of this insulation paperboard, excessive moisture in the insulation paperboard can lead to a decline in insulation performance and even cause accidents. Therefore, timely detection and control of the moisture content in the insulation paperboard is crucial. Current detection methods follow GB / T 462 "Determination of Moisture Content in Paper, Paperboard and Pulp Analytical Samples". One method is the oven drying method, calculating the moisture content by the mass difference before and after drying; the other is the Karl Fischer titration method, a chemical method based on the quantitative reaction of iodine and sulfur dioxide with water in the presence of pyridine and methanol to accurately determine trace amounts of moisture in the insulation paperboard.

[0026] The above methods have the following shortcomings. First, they are destructive testing methods, and samples cannot be obtained directly from transformer products; specially prepared samples are required. Second, if the protection is not in place, the samples will absorb moisture from the air during the transportation process from the transformer production site to the laboratory, which will lead to distorted test results. Finally, each sample takes more than one hour from sampling to the end of testing, which is inefficient and lacks timeliness.

[0027] This application provides a solution that enables accurate calculation of moisture content based on the environmental information of the electrical insulation paperboard without damaging the paperboard. This is achieved by combining a specially constructed model for calculating moisture absorption rate and stage saturation moisture content. This not only ensures the real-time nature of the calculation but also improves the efficiency of moisture content calculation without damaging the paperboard itself.

[0028] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device or server capable of performing the above functions. The following description uses a computer as an example to illustrate this embodiment and the subsequent embodiments.

[0029] Based on this, this application provides a method for calculating the moisture content of electrical insulation paperboard, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for calculating the moisture content of electrical insulating paperboard in this application.

[0030] In this embodiment, the method for calculating the moisture content of electrical insulating paperboard includes steps S10 to S30: Step S10: Collect data on the exposure time and environment of the target transformer body.

[0031] In specific implementation, such as Figure 2 The diagram illustrates the process for calculating the moisture content of electrical insulation paperboard in this embodiment, establishing a non-destructive real-time calculation model driven by the environment. This invention innovatively constructs a mathematical model based on the hygroscopic dynamics of electrical insulation paperboard. By collecting real-time environmental temperature, relative humidity, and exposure time, the real-time moisture content of the insulation paperboard can be directly calculated. This method fundamentally replaces the traditional detection method that requires destructive sampling, enabling in-situ, non-destructive monitoring of the insulation paperboard on transformer products. A highly applicable segmented dynamic prediction method is established: For the hygroscopic characteristics of the transformer body at different stages after leaving the tank, an innovative segmented calculation strategy with a unified form and adaptive parameters (0-12h and 12-48h) is adopted. This model introduces two key parameters, "hygroscopic rate (K)" and "equilibrium moisture content (A)," making them functions of environmental temperature and humidity, ensuring the model's dynamic adaptability and calculation accuracy under different environmental conditions and time spans. Significant improvements in engineering-grade accuracy and efficiency have been achieved: Through verification with actual products, the model's calculation results show that the error compared to the detection values ​​of the national standard benchmark method (Karl Fischer titration) can be stably controlled within 5%, fully meeting the stringent accuracy requirements of transformer production. Simultaneously, the original testing process, which took over 1 hour, has been shortened to near real-time calculation, greatly improving production efficiency and the timeliness of quality control.

[0032] It should be noted that before the calculation, the exposure time of the target transformer body and the environmental data of its environment should be determined first. The target transformer can be any model, type, or style of transformer, and this embodiment does not limit it.

[0033] In one feasible implementation, in order to accurately collect the transformer body exposure time and environmental data, step S10 includes: determining the moment when the target transformer body is removed from the drying tank; determining the exposure time of the transformer body based on the moment when the drying tank is removed; collecting temperature and humidity information of the environment where the target transformer body is located; and determining environmental data based on the temperature and humidity information.

[0034] It should be understood that after the transformer body is dried and removed from the drying tank, the temperature and relative humidity of the environment where the insulating paperboard on the transformer is exposed are directly collected to obtain environmental data. Then, the exposure time of the transformer body can be calculated from the moment the drying tank is emptied.

[0035] Step S20: Calculate the moisture absorption rate and stage saturation moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time of the transformer body and environmental data; In practice, after obtaining the exposure time and environmental data of the device body, the type of exposure time is substituted into the calculation model corresponding to the moisture absorption rate and stage saturation moisture content to obtain the moisture absorption rate and stage saturation moisture content of the electrical insulation paperboard.

[0036] Step S30: Calculate the moisture content of the electrical insulation paperboard based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content.

[0037] It should be noted that after calculating the moisture absorption rate and the stage saturation moisture content, the moisture content of the electrical insulation paperboard is calculated by substituting it into a pre-built moisture content calculation model and using real-time fitted data.

[0038] In one feasible implementation, in order to accurately calculate the moisture content, step S30 includes: constructing a moisture content calculation model; substituting the exposure time of the device body, the moisture absorption rate and the stage saturation moisture content into the moisture content calculation model for fitting calculation to obtain the moisture content of the electrical insulation paperboard.

[0039] It should be understood that the moisture absorption process of dry insulating paperboard is a dynamic process that gradually approaches saturation from the initial value. This process conforms to the characteristics of a growing exponential function. Therefore, the following formula 1 is used to fit and calculate the change in moisture content during the moisture absorption process of the paperboard.

[0040] Formula (1) Where y is the dependent variable, representing the moisture content of the paperboard (%); x is the independent variable, representing the moisture absorption time (h); A and k are parameters, where A is the theoretical maximum value that y can reach (%), reflecting the saturation value of the paperboard's moisture content in this stage; k represents the moisture absorption rate, which is a growth rate constant (% / h), representing the speed at which y approaches the saturation value A, i.e., the moisture absorption rate of the paperboard.

[0041] Based on the meanings of the parameters, the larger the value of k, the faster exp(-kx) decays, and the faster the y value reaches the saturation value A; the smaller the value of k, the slower the process, and the longer it takes to approach saturation. Therefore, parameters A and k together determine the scale and speed of the moisture absorption process, which needs to be determined through fitting actual data. Furthermore, the values ​​of both are affected by multiple factors. The specific values ​​of A and k are obtained by further fitting and calculation in the following steps. Substituting these values ​​into Formula 1, the moisture content (y) inside the electrical insulation paperboard under different moisture absorption times (x) can be quickly calculated.

[0042] This embodiment also provides a strategy for verifying the effectiveness of the scheme. To verify the accuracy of this moisture absorption process model, the calculated values ​​and experimental measured values ​​were compared. The specific process is as follows: First, set the temperature of the constant temperature and humidity chamber to 40℃ and the humidity to 50%. Place the dry cardboard in the constant temperature and humidity chamber to absorb moisture for 12 hours. Take a sample every hour to test the moisture content of the cardboard and obtain the measured value y1 of the cardboard moisture content. Then, substitute the temperature of 40℃ and the humidity of 50% into formula (3) and (5) to get A=1.787% and k=0.300%. Then, substitute the values ​​of A and k into formula (1) to get the moisture absorption model y=1.787×[1-exp(-0.300x)] under this environmental condition. Finally, substitute the moisture absorption time of 1-12h into the model to get the calculated value y2 of the cardboard moisture content. Compare y1 and y2. The specific results are shown in Table 1.

[0043] Table 1

[0044] The verification results show that the deviations between the measured data, the fitted data and the calculated data are small, indicating that the establishment process and results of this moisture absorption process model and the important parameters A and k are highly reliable and can truly reflect the actual moisture absorption process of the cardboard.

[0045] It should be noted that after the calculation of the scheme in this embodiment is completed, a transformer under construction is selected, and the calculated value of the model is compared with the measured value of the sample (Karl Fischer titration method). The comparison results are shown in Table 2.

[0046] Table 2

[0047] The verification results show that the real-time moisture content of the paperboard calculated by this model deviates little from the actual measured value of the product. This indicates that the establishment process and results of this moisture absorption process model and the important parameters A and k are highly reliable and can truly reflect the actual moisture absorption process of the paperboard. It has practical application and promotion value.

[0048] It should be understood that the solution applied in this embodiment can calculate the real-time (0-48h) moisture content of the insulating paperboard of transformer products through a mathematical model, replacing the original destructive physical testing; moreover, the model calculation accuracy of this invention is high, fully meeting the actual needs in the transformer production process, and can be directly applied to the judgment of the drying effect in the transformer production process; at the same time, this invention can realize online and accurate calculation of the moisture content inside the insulating paperboard, providing a more efficient and real-time basis for judging the degree of moisture absorption of transformers, greatly improving the efficiency of secondary drying and reducing energy consumption.

[0049] This embodiment provides a method for calculating the moisture content of electrical insulation paperboard. It involves collecting data on the exposure time and environment of the target transformer body; calculating the moisture absorption rate of the electrical insulation paperboard based on the exposure time and environmental data combined with a moisture absorption rate calculation model; and calculating the stage saturated moisture content of the electrical insulation paperboard based on the exposure time and environmental data combined with a stage saturated moisture content calculation model. Finally, the moisture content of the electrical insulation paperboard is calculated based on the exposure time, moisture absorption rate, and stage saturated moisture content. This method achieves accurate moisture content calculation without damaging the electrical insulation paperboard, based on environmental information and a dedicated model for calculating moisture absorption rate and stage saturated moisture content. It ensures real-time calculation and improves the efficiency of moisture content calculation without damaging the paperboard itself.

[0050] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 Step S20 includes steps S201 to S202: Step S201: Compare the exposure time of the transformer body with a preset interval, and determine the moisture absorption condition category of the target transformer body based on the comparison result; It should be noted that, firstly, the specific duration of the exposure time of the vessel body is compared with the preset range to determine the category of moisture absorption conditions, which are divided into short-term moisture absorption conditions and long-term moisture absorption conditions. Under short-term moisture absorption conditions, the moisture absorption time is <12h, and under long-term moisture absorption conditions, the moisture absorption time is 12h≤moisture absorption time≤48h.

[0051] Step S202: Calculate the moisture absorption rate based on the moisture absorption condition category, environmental data, and moisture absorption rate calculation model; and calculate the stage saturated moisture content based on the moisture absorption condition category, environmental data, and stage saturated moisture content calculation model.

[0052] It should be understood that after determining the category of moisture absorption conditions, the specific values ​​of the parameters used under different conditions are determined based on the category of moisture absorption conditions and environmental data, and then the moisture absorption rate and stage saturation moisture content of the electrical insulation paperboard are calculated.

[0053] In one feasible implementation, in order to accurately calculate the moisture absorption rate and the stage saturation moisture content, step S202 includes: constructing a moisture absorption rate calculation model, and calculating the moisture absorption rate of the electrical insulation paperboard based on the moisture absorption rate calculation model, the moisture absorption condition category, and environmental data; constructing a stage saturation moisture content calculation model, and calculating the stage saturation moisture content of the electrical insulation paperboard based on the stage saturation moisture content calculation model, the moisture absorption condition category, and environmental data.

[0054] In practice, the growth rate constant k, which characterizes the moisture absorption rate, reflects the kinetic characteristics of the moisture absorption process and is related to material properties, ambient temperature, activation energy, and catalysts. In this experiment, the value of k mainly depends on the material properties of the insulating paperboard, ambient temperature, and moisture absorption activation energy. Therefore, the Arrhenius equation is used as the model to establish a moisture absorption rate calculation model.

[0055] It should be noted that the stage saturated moisture content A, which is the maximum moisture content that the insulating paperboard can reach at the current stage of moisture equilibrium, is mainly related to the fiber structure characteristics of the paperboard (crystallinity, density, etc.), ambient temperature, relative humidity, etc., and reflects the moisture balance state of the system. In this experiment, the value of A mainly depends on the material properties of the insulating paperboard, ambient temperature, and relative humidity. Therefore, the Arrhenius equation (the effect of temperature) and the exponential function relationship (the effect of humidity) are used as models to jointly establish the saturated moisture content calculation model.

[0056] It should be understood that after obtaining the moisture absorption rate calculation model, the specific values ​​to be substituted into the model are determined based on the moisture absorption condition category and environmental data, and then the moisture absorption rate and stage saturation water content are calculated.

[0057] In one feasible implementation, in order to accurately calculate the moisture absorption rate, a moisture absorption rate calculation model is constructed, and the steps of calculating the moisture absorption rate of electrical insulating paperboard based on the moisture absorption rate calculation model, moisture absorption condition category, and environmental data include: determining the hygroscopic activation energy parameter and the first pre-factor corresponding to the material properties of the electrical insulating paperboard based on the moisture absorption condition category; determining the target gas constant and ambient temperature based on the environmental data; and substituting the hygroscopic activation energy parameter, the first pre-factor, the target gas constant, and the ambient temperature into the moisture absorption rate calculation model to calculate the moisture absorption rate of the electrical insulating paperboard.

[0058] In practical implementation, the calculation model for moisture absorption rate is shown in formula (2): k(T) = k0 × exp(-E a1 Formula (2) Where k0 refers to the first pre-factor, which is related to material properties; E a1R is the activation energy for moisture absorption (J / mol), which is the reaction energy barrier and represents the energy required for the cardboard to absorb moisture; R is the target gas constant, which is the ideal gas constant, i.e., 8.314 J / (mol·K); T is the ambient temperature (unit: K, which needs to be converted from Celsius to Kelvin, i.e., T=T℃+273.15).

[0059] It should be understood that under short-term moisture absorption conditions (moisture absorption time < 12h), the specific expression of Formula 2 is derived by fitting measured data. In this case, E a1 =10951 J / mol, k0=20.2, therefore, under short-term moisture absorption conditions, k is given by formula 3: k(T) = 20.2 × exp(-109518.314T) Formula (3) In practical implementation, under long-term moisture absorption conditions (12h ≤ moisture absorption time ≤ 48h), the specific expression of Formula 2 is derived by fitting measured data. In this case, E a1 =5318 J / mol, k0=0.594, therefore, under long-term moisture absorption conditions, k is given by formula 4: k(T) = 0.594 × exp(-53188.314T) Formula (4) In one feasible implementation, in order to accurately calculate the stage saturated moisture content, a stage saturated moisture content calculation model is constructed, and the steps for calculating the stage saturated moisture content of electrical insulating paperboard based on the stage saturated moisture content calculation model, moisture absorption condition category, and environmental data include: determining the hygroscopic activation energy parameter and the second pre-factor corresponding to the material properties of the electrical insulating paperboard based on the moisture absorption condition category; determining the target gas constant, ambient temperature, humidity influence coefficient, and ambient relative humidity based on the environmental data; and substituting the hygroscopic activation energy parameter, the second pre-factor, the target gas constant, ambient temperature, humidity influence coefficient, and ambient relative humidity into the stage saturated moisture content calculation model to calculate the stage saturated moisture content of the electrical insulating paperboard.

[0060] It should be noted that the specific calculation model for stage saturated water content is shown in formula (5): A(T, RH) = A0 × exp(-E a2 Formula (5) is RT)×exp(β×RH) Where A0 refers to the second pre-factor, which is related to material properties; E a2 1 is the activation energy for moisture absorption (J / mol), i.e., the reaction energy barrier, representing the energy required for the paperboard to absorb moisture; R is the target gas constant, i.e., 8.314 J / (mol·K); T is the ambient temperature (unit: K, which needs to be converted from Celsius to Kelvin, i.e., T=T℃+273.15); β is the humidity influence coefficient, reflecting the humidity sensitivity of the paperboard; RH is the ambient relative humidity (%).

[0061] It should be understood that under short-term moisture absorption conditions (moisture absorption time < 12h), the specific expression of Formula 5 is derived by fitting measured data. In this case, E a2 =4000 J / mol, A0=5.3, β=0.009, therefore, the stage saturated water content A under short-term hygroscopic conditions is given by formula 6: A(T, RH)=5.3×exp(-40008.314T)×exp(0.009RH)(6) In practical implementation, under long-term moisture absorption conditions (12h ≤ moisture absorption time ≤ 48h), the specific expression of Formula 2 is derived by fitting measured data. In this case, E a2 =14857 J / mol, A0=780, β=0.009, therefore, the stage saturated water content A under long-term hygroscopic conditions is given by formula 7: A(T, RH)=780×exp(-148578.314T)×exp(0.009RH)(7) The following is an example of the calculation process of the solution in this embodiment: After the 500kV transformer body is dried and removed from the can, it needs to be cleaned. The workshop temperature is 28℃ and the relative humidity is 45%. After 7.5 hours of cleaning, what is the expected water content on the insulation surface of the transformer body? Given that the processing time is 7.5 hours, which is less than 12 hours, formulas 3 and 6 are used for calculation. Calculate the moisture absorption rate K: Given a temperature of 28℃ (i.e., 301K), substituting into formula 3, we get K = 0.254%; Calculation of saturated water content A: Given a temperature of 28℃ (301K) and a relative humidity of 45%, substituting into Formula 6, we get A = 1.608%; Substituting into the formula for calculating the moisture content of cardboard, we obtain the formula for the change of the moisture content y of cardboard with the storage time x under environmental conditions of 28℃ (i.e., 301K) and 45% relative humidity: y = 1.607[1-exp(-0.254 x)] Therefore, after 7.5 hours of exposure, i.e., when x=7.5, the moisture content on the insulating surface of the reactor body is approximately 1.37%.

[0062] like Figure 3The diagram illustrates the process for calculating the moisture content of electrical insulation paperboard in this embodiment, establishing a non-destructive real-time calculation model driven by the environment. This invention innovatively constructs a mathematical model based on the hygroscopic dynamics of electrical insulation paperboard. By collecting real-time environmental temperature, relative humidity, and exposure time, the real-time moisture content of the insulation paperboard can be directly calculated. This method fundamentally replaces the traditional detection method that requires destructive sampling, enabling in-situ, non-destructive monitoring of the insulation paperboard on transformer products. A highly applicable segmented dynamic prediction method is established: For the hygroscopic characteristics of the transformer body at different stages after leaving the tank, an innovative segmented calculation strategy with a unified form and adaptive parameters (0-12h and 12-48h) is adopted. This model introduces two key parameters, "hygroscopic rate (K)" and "equilibrium moisture content (A)," making them functions of environmental temperature and humidity, ensuring the model's dynamic adaptability and calculation accuracy under different environmental conditions and time spans. Significant improvements in engineering-grade accuracy and efficiency have been achieved: Through verification with actual products, the model's calculation results show that the error compared to the detection values ​​of the national standard benchmark method (Karl Fischer titration) can be stably controlled within 5%, fully meeting the stringent accuracy requirements of transformer production. Simultaneously, the original testing process, which took over 1 hour, has been shortened to near real-time calculation, greatly improving production efficiency and the timeliness of quality control.

[0063] This embodiment compares the exposure time of the transformer body with a preset interval and determines the moisture absorption condition category of the target transformer body based on the comparison result. Based on the moisture absorption condition category, the environmental data, and the moisture absorption rate calculation model, the moisture absorption rate is calculated. Similarly, based on the moisture absorption condition category, the environmental data, and the stage saturated moisture content calculation model, the stage saturated moisture content is calculated. In this way, a unified, parameter-adaptive segmented calculation strategy (0-12h and 12-48h) is innovatively adopted to address the moisture absorption characteristics of the transformer body at different stages after it leaves the tank. By introducing two key parameters, "moisture absorption rate (K)" and "equilibrium moisture content (A)," and making them functions of ambient temperature and humidity, the model ensures dynamic adaptability and calculation accuracy under different environmental conditions and time spans.

[0064] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the method for calculating the moisture content of electrical insulation paperboard in this application. Any simple modifications based on this technical concept are within the scope of protection of this application.

[0065] This application also provides a device for calculating the moisture content of electrical insulating paperboard. Please refer to [link / reference]. Figure 4 The device for calculating the moisture content of electrical insulation paperboard includes: Data acquisition module 10 is used to collect the exposure time of the target transformer body and environmental data; The parameter calculation module 20 is used to calculate the moisture absorption rate and stage saturation moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time of the transformer body and environmental data. The moisture content calculation module 30 is used to calculate the moisture content of electrical insulation paperboard based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content.

[0066] This embodiment collects data on the exposure time and environment of the target transformer body; based on the exposure time and environmental data combined with a moisture absorption rate calculation model, it calculates the moisture absorption rate of the electrical insulation paperboard of the target transformer body; and based on the exposure time and environmental data combined with a stage saturated moisture content calculation model, it calculates the stage saturated moisture content of the electrical insulation paperboard of the target transformer body; finally, it calculates the moisture content of the electrical insulation paperboard based on the exposure time, moisture absorption rate, and stage saturated moisture content. In this way, it achieves accurate moisture content calculation based on the environmental information of the electrical insulation paperboard and a specially constructed model for calculating moisture absorption rate and stage saturated moisture content without damaging the paperboard itself. This not only ensures real-time calculation but also improves the efficiency of moisture content calculation without damaging the paperboard itself.

[0067] In one embodiment, the parameter calculation module 20 is further configured to compare the exposure time of the transformer body with a preset interval, and determine the moisture absorption condition category of the target transformer body based on the comparison result; calculate the moisture absorption rate based on the moisture absorption condition category, environmental data and moisture absorption rate calculation model, and calculate the stage saturated moisture content based on the moisture absorption condition category, environmental data and stage saturated moisture content calculation model.

[0068] In one embodiment, the parameter calculation module 20 is further configured to construct a moisture absorption rate calculation model, and calculate the moisture absorption rate of the electrical insulation paperboard based on the moisture absorption rate calculation model, moisture absorption condition category and environmental data; construct a stage saturated moisture content calculation model, and calculate the stage saturated moisture content of the electrical insulation paperboard based on the stage saturated moisture content calculation model, moisture absorption condition category and environmental data.

[0069] In one embodiment, the parameter calculation module 20 is further configured to determine the moisture absorption activation energy parameter and the first pre-factor corresponding to the material properties of the electrical insulating paperboard based on the moisture absorption condition category; determine the target gas constant and ambient temperature based on environmental data; and substitute the moisture absorption activation energy parameter, the first pre-factor, the target gas constant and the ambient temperature into the moisture absorption rate calculation model to calculate the moisture absorption rate of the electrical insulating paperboard.

[0070] In one embodiment, the parameter calculation module 20 is further configured to determine the hygroscopic activation energy parameter and the second pre-factor corresponding to the material properties of the electrical insulating paperboard based on the category of moisture absorption conditions; determine the target gas constant, ambient temperature, humidity influence coefficient and ambient relative humidity based on environmental data; and substitute the hygroscopic activation energy parameter, the second pre-factor, the target gas constant, ambient temperature, humidity influence coefficient and ambient relative humidity into the stage saturated moisture content calculation model to calculate the stage saturated moisture content of the electrical insulating paperboard.

[0071] In one embodiment, the moisture content calculation module 30 is also used to construct a moisture content calculation model; the exposure time of the vessel body, the moisture absorption rate and the stage saturation moisture content are substituted into the moisture content calculation model for fitting calculation to obtain the moisture content of the electrical insulation paperboard.

[0072] In one embodiment, the data acquisition module 10 is further configured to: determine the moment when the target transformer body is emptied from the drying tank; determine the exposure time of the transformer body based on the moment when the drying tank is emptied; collect temperature and humidity information of the environment in which the target transformer body is located; and determine environmental data based on the temperature and humidity information.

[0073] The electrical insulation paperboard moisture content calculation device provided in this application, employing the moisture content calculation method for electrical insulation paperboard in the above embodiments, can solve the technical problems of poor timeliness and low efficiency in moisture content detection of electrical insulation paperboard. Compared with the prior art, the beneficial effects of the electrical insulation paperboard moisture content calculation device provided in this application are the same as those of the electrical insulation paperboard moisture content calculation method provided in the above embodiments, and other technical features in the electrical insulation paperboard moisture content calculation device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0074] This application provides a device for calculating the moisture content of electrical insulating paperboard. The device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method for calculating the moisture content of electrical insulating paperboard in the above embodiment 1.

[0075] The following is for reference. Figure 5This document illustrates a structural schematic diagram of a device suitable for calculating the moisture content of electrical insulation paperboard used in implementing embodiments of this application. The device for calculating the moisture content of electrical insulation paperboard in embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The illustrated device for calculating the moisture content of electrical insulating paperboard is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0076] like Figure 5 As shown, the electrical insulation paperboard moisture content calculation device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the electrical insulation paperboard moisture content calculation device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the electrical insulation paperboard moisture content calculation device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows an electrical insulation paperboard moisture content calculation device with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0077] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0078] The electrical insulation paperboard moisture content calculation device provided in this application, employing the moisture content calculation method for electrical insulation paperboard in the above embodiments, can solve the technical problems of poor timeliness and low efficiency in moisture content detection of electrical insulation paperboard. Compared with the prior art, the beneficial effects of the electrical insulation paperboard moisture content calculation device provided in this application are the same as those of the moisture content calculation method for electrical insulation paperboard provided in the above embodiments, and other technical features in this electrical insulation paperboard moisture content calculation device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0079] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0080] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0081] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the method for calculating the moisture content of electrical insulating paperboard in the above embodiments.

[0082] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0083] The aforementioned computer-readable storage medium may be included in the electrical insulation paperboard moisture content calculation device; or it may exist independently and not assembled into the electrical insulation paperboard moisture content calculation device.

[0084] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the electrical insulation paperboard moisture content calculation device, the electrical insulation paperboard moisture content calculation device: collects the exposure time and environmental data of the target transformer body; calculates the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with a moisture absorption rate calculation model; calculates the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with a stage saturated moisture content calculation model; and calculates the moisture content of the electrical insulation paperboard based on the exposure time, the moisture absorption rate, and the stage saturated moisture content.

[0085] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include object-oriented programming languages—such as Python, Java, Smalltalk, and C++—and conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0086] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0087] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0088] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for calculating the moisture content of electrical insulating paperboard. This solves the technical problems of poor timeliness and low efficiency in detecting the moisture content of electrical insulating paperboard. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the method for calculating the moisture content of electrical insulating paperboard provided in the above embodiments, and will not be repeated here.

[0089] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for calculating the moisture content of electrical insulating paperboard.

[0090] The computer program product provided in this application can solve the technical problems of poor timeliness and low efficiency in detecting the moisture content of electrical insulating paperboard. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the moisture content calculation method for electrical insulating paperboard provided in the above embodiments, and will not be repeated here.

[0091] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for calculating the moisture content of electrical insulating paperboard, characterized in that, The method includes: Collect data on the exposure time and environment of the target transformer body; Based on the exposure time and environmental data of the transformer body combined with the moisture absorption rate calculation model, the moisture absorption rate of the electrical insulation paperboard of the target transformer body is calculated, and based on the exposure time and environmental data of the transformer body combined with the stage saturated moisture content calculation model, the stage saturated moisture content of the electrical insulation paperboard of the target transformer body is calculated. The moisture content of the electrical insulation paperboard is calculated based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content.

2. The method as described in claim 1, characterized in that, The steps of calculating the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with the moisture absorption rate calculation model, and calculating the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data combined with the stage saturated moisture content calculation model, include: The exposure time of the transformer body is compared with a preset interval, and the moisture absorption condition category of the target transformer body is determined based on the comparison result; Based on the moisture absorption condition category, the environmental data, and the moisture absorption rate calculation model, the moisture absorption rate is calculated; and based on the moisture absorption condition category, the environmental data, and the stage saturated moisture content calculation model, the stage saturated moisture content is calculated.

3. The method as described in claim 2, characterized in that, The steps of calculating the moisture absorption rate based on the moisture absorption condition category, the environmental data, and the moisture absorption rate calculation model, and calculating the stage saturated moisture content based on the moisture absorption condition category, the environmental data, and the stage saturated moisture content calculation model, include: A moisture absorption rate calculation model is constructed, and the moisture absorption rate of the electrical insulation paperboard is calculated based on the moisture absorption rate calculation model, the moisture absorption condition category, and the environmental data; A stage saturated moisture content calculation model is constructed, and based on the stage saturated moisture content calculation model, the moisture absorption condition category, and the environmental data, the stage saturated moisture content of the electrical insulation paperboard is calculated.

4. The method as described in claim 3, characterized in that, The step of calculating the moisture absorption rate of the electrical insulation paperboard based on the moisture absorption rate calculation model, the moisture absorption condition category, and the environmental data includes: Based on the aforementioned moisture absorption condition category, the first pre-factor corresponding to the moisture absorption activation energy parameter and material properties of the electrical insulation paperboard is determined. Based on the environmental data, the target gas constant and ambient temperature are determined; The moisture absorption rate of the electrical insulating paperboard is calculated by substituting the moisture absorption activation energy parameter, the first pre-factor, the target gas constant, and the ambient temperature into the moisture absorption rate calculation model.

5. The method as described in claim 3, characterized in that, The steps for calculating the stage saturated moisture content of the electrical insulation paperboard based on the stage saturated moisture content calculation model, the moisture absorption condition category, and the environmental data include: Based on the moisture absorption condition category, determine the moisture absorption activation energy parameter and the second pre-factor corresponding to the material properties of the electrical insulation paperboard; The target gas constant, ambient temperature, humidity influence coefficient, and ambient relative humidity are determined based on the environmental data. The stage saturated moisture content of the electrical insulating paperboard is calculated by substituting the moisture absorption activation energy parameter, the second pre-factor, the target gas constant, the ambient temperature, the humidity influence coefficient, and the ambient relative humidity into the stage saturated moisture content calculation model.

6. The method as described in claim 1, characterized in that, The step of calculating the moisture content of the electrical insulation paperboard based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content includes: Construct a water content calculation model; The moisture content of the electrical insulating paperboard is obtained by substituting the device body exposure time, the moisture absorption rate, and the stage saturated moisture content into the moisture content calculation model.

7. The method as described in claim 1, characterized in that, The steps for collecting data on the exposure time and environment of the target transformer core include: When the target transformer body is dried and removed from the drying tank, determine the moment when the drying tank of the target transformer body is emptied. The exposure time of the vessel body is determined based on the moment when the drying tank of the vessel body is emptied. Collect temperature and humidity information of the environment in which the target transformer body is located; Environmental data is determined based on the temperature and humidity information.

8. A device for calculating the moisture content of electrical insulating paperboard, characterized in that, The device includes: The data acquisition module is used to collect data on the exposure time of the target transformer body and the environment. The parameter calculation module is used to calculate the moisture absorption rate of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data of the transformer body combined with the moisture absorption rate calculation model, and to calculate the stage saturated moisture content of the electrical insulation paperboard of the target transformer body based on the exposure time and environmental data of the transformer body combined with the stage saturated moisture content calculation model. A moisture content calculation module is used to calculate the moisture content of the electrical insulation paperboard based on the exposure time of the device body, the moisture absorption rate, and the stage saturation moisture content.

9. A device for calculating the moisture content of electrical insulating paperboard, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the method for calculating the moisture content of electrical insulating paperboard as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the method for calculating the moisture content of electrical insulating paperboard as described in any one of claims 1 to 7.

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