High-voltage electrical equipment gas humidity detection circuit, method and device and storage medium

By designing a gas humidity detection circuit for high-voltage electrical equipment, using standard capacitance equations and humidity curve equations, the data inaccuracy caused by drift of resistance-capacitance humidity sensors is solved, and high-accuracy online humidity detection is achieved.

CN120044085AActive Publication Date: 2025-05-27国网湖北电力有限公司荆州供电公司
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Patent Information

Application Number
CN202510249779.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-04
Publication Date
2025-05-27
Estimated Expiration
2045-03-04

AI Technical Summary

Technical Problem

In the prior art, the resistance-capacity humidity sensor is prone to drift, resulting in inaccurate gas humidity detection data.

Method used

A gas humidity detection circuit for high-voltage electrical equipment is designed, including a multi-speed standard voltage source, a resistive-capacitance oscillation circuit and a phase-locked loop. The gas humidity is determined through standard capacitance equations and humidity curve equations, and online calibration and detection are achieved.

Benefits of technology

The amount of drift of the sensor can be determined without disassembly calibration, which reduces the data inaccuracy caused by sensor drift and improves the accuracy and efficiency of humidity detection.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of high-voltage insulating gas humidity detection, in particular to a high-voltage electrical equipment gas humidity detection circuit, method and device and a storage medium. Respectively substituting the plurality of test arrays into a standard capacitance equation to obtain a standard capacitance estimation value of the humidity sensor; determining the deviation of a standard capacitance application value according to the standard capacitance estimation value, and obtaining the standard capacitance estimation value through the standard capacitance equation again when the deviation is greater than a deviation threshold value; and finally, determining the gas humidity according to a return value of the humidity sensor, the gas temperature and a humidity curve equation selected according to the standard capacitance estimation value. According to the embodiment of the invention, the corresponding humidity curve equation is selected according to the determined standard capacitance value to complete humidity detection, and the problem of inaccurate data caused by sensor drift is reduced.
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Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage insulation gas humidity detection, and particularly to a gas humidity detection circuit, method, device and storage medium for high-voltage electrical equipment. Background Art

[0002] SF 6 Gas is a colorless, odorless, non-toxic and non-flammable inert gas. Due to its strong electronegativity, it has unique insulation performance and efficient arc extinguishing performance. Therefore, it has become one of the most important insulation media in the power industry and has been widely used in high-voltage equipment such as gas-insulated switchgear, high-voltage instrument transformers, high-voltage circuit breakers, and gas-insulated pipe transmission lines.

[0003] High-voltage electrical equipment filled with insulating gas needs to detect its components in real time to ensure the safe and reliable operation of the equipment. Among them, humidity detection is an important part of gas component detection. The main methods for detecting gas humidity include dew point method, resistance-capacitance method, electrolysis method, laser method, etc. The resistance-capacitance method for micro water humidity detection has natural advantages in terms of detection sensitivity, convenience, and response speed, so it is suitable for on-line monitoring.

[0004] The sensor for resistance-capacitance detection is formed by an electrochemical method to form a layer of aluminum oxide film on the surface of metal aluminum, and then a thin layer of metal is plated on the film. In this way, the aluminum substrate and the metal film form a capacitor. When SF 6 gas passes through the sensor, the porous aluminum oxide layer will adsorb water vapor, resulting in a change in the impedance or capacitance between the two poles. This change amount has a certain relationship with the water vapor concentration, and then the water content of SF 6 gas can be measured.

[0005] It can be seen that the core of the resistance-capacitance humidity sensor is a capacitor that changes with humidity. The capacitance characteristics of the resistance-capacitance sensor cause the sensor to drift during use, further resulting in inaccurate humidity data.

[0006] Based on this, it is necessary to develop and design a gas humidity detection method for high-voltage electrical equipment. Summary of the Invention

[0007] Embodiments of the present invention provide a gas humidity detection circuit, method, device and storage medium for high-voltage electrical equipment, which are used to solve the problem that inaccurate humidity data is caused by the drift of the resistance-capacitance humidity sensor in the prior art.

[0008] In a first aspect, embodiments of the present invention provide a gas humidity detection circuit for high-voltage electrical equipment, including:

[0009] A multi-range standard voltage source, a resistance-capacitance oscillation circuit, and a phase-locked loop;

[0010] The input end of the phase-locked loop is electrically connected to the output end of the RC oscillation circuit, and the multi-gear voltage source is electrically connected to the RC oscillation circuit and the phase-locked loop. The multi-gear voltage source provides multiple alternative supply voltages for the RC oscillation circuit and the phase-locked loop;

[0011] The RC oscillation circuit is provided with a resistance-capacitance micro water humidity sensor and a plurality of oscillation loading resistors. The resistance-capacitance micro water humidity sensor and the plurality of oscillation loading resistors are alternatively connected in series to form an RC circuit, and the RC oscillation circuit generates a sine wave signal through the RC circuit;

[0012] The phase-locked loop includes: a phase discriminator, a low-pass filter, and a voltage-controlled oscillator. The output end of the phase discriminator is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the voltage-controlled oscillator, and the output end of the voltage-controlled oscillator is electrically connected to the first input end of the phase discriminator;

[0013] When a sine wave signal is received at the second input end of the phase discriminator, the output end of the low-pass filter outputs an oscillation frequency indication that is positively correlated with the frequency of the sine wave signal.

[0014] In a second aspect, an embodiment of the present invention provides a method for detecting the gas humidity of a high-voltage electrical device, which is applied to the gas humidity detection based on a resistance-capacitance micro water humidity sensor, and includes:

[0015] Obtain a plurality of test arrays, where each test array includes a plurality of factor values that affect the capacitance value of the humidity sensor;

[0016] Substitute the plurality of test arrays into a standard capacitance equation respectively to obtain a standard capacitance estimated value of the humidity sensor, where the standard capacitance equation expresses the relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions;

[0017] Determine the deviation of the standard capacitance application value according to the standard capacitance estimated value, and when the deviation is greater than the deviation threshold, obtain the standard capacitance estimated value again through the standard capacitance equation;

[0018] Determine the gas humidity according to the return value of the humidity sensor, the gas temperature, and the humidity curve equation selected according to the standard capacitance estimated value, where the humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity.

[0019] In a possible implementation manner, the factors that affect the capacitance value of the humidity sensor include: test temperature, oscillation loading voltage, oscillation loading resistance value, oscillation frequency, and gas humidity observation value. The standard capacitance equation is:

[0020]

[0021] In the formula, FE is the test temperature, π is the pi, k c is the oscillation circuit structure constant, R is the oscillation loading resistance value, C r is the capacitance observed value, b is the bias constant, C is the standard capacitance value, wT i is the i-th temperature coefficient, T is the test temperature, wU i is the i-th voltage coefficient, U is the oscillation loading voltage, wRH i is the i-th gas humidity coefficient, RHO is the gas humidity observed value, wFE i is the i-th humidity coefficient.

[0022] In a possible implementation manner, the standard capacitance equation has a plurality of undetermined coefficients, and the plurality of undetermined coefficients are determined according to multiple groups of capacitance capacity test data, including:

[0023] Obtain a plurality of coefficient arrays and multiple groups of capacitance capacity test data, wherein each group of capacitance capacity test data includes: test temperature, test loading voltage, test oscillation loading resistance value, test oscillation frequency, test capacitance observed value, test standard capacitance value, and test gas humidity value;

[0024] Construct the test capacitance observed values of the multiple groups of capacitance capacity test data into a control value array;

[0025] Substitute the plurality of coefficient arrays into the standard capacitance equation one by one to obtain a plurality of process equations;

[0026] For each process equation, substitute the test condition data extracted from the multiple groups of capacitance capacity test data into the process equation one by one, and construct the multiple capacitance observation indication values obtained into an indication value array, wherein each capacitance observation indication value corresponds to a group of capacitance capacity test data, and the extracted test condition data is the data other than the test capacitance observed value in the capacitance capacity test data;

[0027] Determine a plurality of mean square errors according to the control value array and the multiple indication value arrays, wherein each mean square error corresponds to a coefficient array;

[0028] Add each mean square error to the corresponding mean square error queue respectively;

[0029] Select the minimum value from the plurality of mean square errors as the reference value;

[0030] If there is no mean square error queue that meets the convergence condition, adjust the plurality of coefficient arrays according to the coefficient array corresponding to the reference value, and jump to the step of substituting the plurality of coefficient arrays into the standard capacitance equation one by one to obtain a plurality of process equations;

[0031] Otherwise, retain the process equation corresponding to the reference value as the standard capacitance equation.

[0032] In a possible implementation, adjusting the plurality of coefficient arrays according to the coefficient array corresponding to the reference value includes:

[0033] For each coefficient array, perform the following steps respectively:

[0034] Extract the minimum value from the mean square error queue of the coefficient array, and use the historical coefficient array corresponding to the minimum value as the process optimal array;

[0035] Adjust the coefficient array according to the first formula, the global optimal array, and the process optimal array, where the first formula is:

[0036]

[0037] In the formula, w (n+1) [j] is the j-th data of the adjusted coefficient array, w (n) [j] is the j-th data of the coefficient array before adjustment, α is the first adjustment coefficient, β is the second adjustment coefficient, D opta [j] is the distance between the coefficient array and the global optimal array in the j-th dimension, D opt [j] is the distance between the coefficient array and the process optimal array in the j-th dimension, D min is the minimum adjustment distance, w (opta) [j] is the j-th data of the global optimal array, w (opt) [j] is the j-th data of the process optimal array.

[0038] In a possible implementation, when the deviation is greater than the deviation threshold, obtaining the standard capacitance estimate value again through the standard capacitance equation includes:

[0039] Select the reference humidity curve equation according to the standard capacitance estimate value;

[0040] Use the gas humidity observation values in the plurality of test arrays as a plurality of observation values to be updated;

[0041] Determine a plurality of gas humidity observation update values according to the test temperatures in the plurality of test arrays, the return values of the humidity sensor when obtaining the plurality of observation values to be updated, and the reference humidity curve equation;

[0042] Use the plurality of gas humidity observation update values as the gas humidity observation values of the plurality of test arrays respectively;

[0043] Jump to the step of substituting the multiple test arrays into the standard capacitance equation respectively to obtain the standard capacitance estimation value of the humidity sensor.

[0044] In a possible implementation manner, the humidity curve equation is determined according to multiple groups of humidity test data, including:

[0045] Obtain a humidity relationship equation, multiple measured humidity values, multiple humidity test arrays, and the standard capacitance value of the humidity sensor to be measured. Among them, the humidity relationship equation expresses the relationship between the gas temperature when the humidity sensor is at the standard capacitance value, the return value of the humidity sensor, and humidity. Each humidity test array includes: the test gas temperature and the return value of the humidity sensor to be measured, and each humidity test array corresponds to a measured humidity value;

[0046] Determine the solutions of multiple coefficients of the humidity relationship equation by using the least squares method according to the multiple measured humidity values and the multiple humidity test arrays;

[0047] Substitute the solutions of the multiple coefficients into the humidity relationship equation to obtain the humidity curve equation corresponding to the standard capacitance value.

[0048] In a third aspect, an embodiment of the present invention provides a gas humidity detection device for high-voltage electrical equipment, which is used to implement the gas humidity detection method for high-voltage electrical equipment described in the above second aspect or any one of the possible implementation manners of the second aspect. The gas humidity detection device for high-voltage electrical equipment includes:

[0049] A test data acquisition module, configured to acquire multiple test arrays, where each test array includes multiple factor values that affect the capacitance value of the humidity sensor;

[0050] A standard capacitance estimation module, configured to substitute the multiple test arrays into the standard capacitance equation respectively to obtain the standard capacitance estimation value of the humidity sensor. Among them, the standard capacitance equation expresses the relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions;

[0051] A deviation determination module, configured to determine the deviation of the standard capacitance application value according to the standard capacitance estimation value, and when the deviation is greater than the deviation threshold, obtain the standard capacitance estimation value again through the standard capacitance equation;

[0052] And,

[0053] A gas humidity determination module, configured to determine the gas humidity according to the return value of the humidity sensor, the gas temperature, and the humidity curve equation selected according to the standard capacitance estimation value. Among them, the humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity.

[0054] Fourthly, an embodiment of the present invention provides an electronic device, including a memory and a processor. A computer program that can run on the processor is stored in the memory. When the processor executes the computer program, the steps of the method described in the second aspect above or any possible implementation manner of the second aspect are implemented.

[0055] Fifthly, an embodiment of the present invention provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the method described in the second aspect above or any possible implementation manner of the second aspect are implemented.

[0056] The beneficial effects of the embodiments of the present invention compared with the prior art are as follows:

[0057] An embodiment of the present invention discloses a method for detecting the gas humidity of high-voltage electrical equipment. First, a plurality of test arrays are obtained, where each test array includes a plurality of factor values that affect the capacitance value of the humidity sensor. Then, the plurality of test arrays are respectively substituted into a standard capacitance equation to obtain a standard capacitance estimated value of the humidity sensor, where the standard capacitance equation expresses the relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions. Next, the deviation of the standard capacitance application value is determined according to the standard capacitance estimated value, and when the deviation is greater than the deviation threshold, the standard capacitance estimated value is obtained again through the standard capacitance equation. Finally, the gas humidity is determined according to the return value of the humidity sensor, the gas temperature, and the humidity curve equation selected according to the standard capacitance estimated value, where the humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity. By using a plurality of factor data groups that affect the observed capacitance value of the sensor, the standard capacitance value of the sensor is determined in the embodiment of the present invention, and then the corresponding humidity curve equation is selected through the standard capacitance value, and finally the humidity detection is completed. The method of the present invention can determine the drift amount of the sensor without disassembling and calibrating, reducing the problem of inaccurate data caused by sensor drift. Description of the Drawings

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0059] Figure 1 It is the schematic circuit diagram of the gas humidity detection of the high-voltage electrical equipment provided by the embodiment of the present invention;

[0060] Figure 2It is a flowchart of the method for detecting the gas humidity of high-voltage electrical equipment provided by the embodiment of the present invention;

[0061] Figure 3 It is a functional block diagram of the device for detecting the gas humidity of high-voltage electrical equipment provided by the embodiment of the present invention;

[0062] Figure 4 It is a functional block diagram of an electronic device provided by the embodiment of the present invention. Specific embodiments

[0063] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. However, those skilled in the art should clearly understand that the present invention can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, and methods are omitted to avoid unnecessary details from interfering with the description of the present invention.

[0064] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments with reference to the accompanying drawings.

[0065] The following will give a detailed description of the embodiments of the present invention. This example is implemented on the premise of the technical solution of the present invention, and detailed implementation manners and specific operation processes are given. However, the protection scope of the present invention is not limited to the following embodiments.

[0066] As Figure 1 shown, the first aspect of the embodiment of the present invention provides a circuit for detecting the gas humidity of high-voltage electrical equipment, including:

[0067] A multi-stage standard voltage source, a resistor-capacitor oscillation circuit, and a phase-locked loop;

[0068] The input end of the phase-locked loop is electrically connected to the output end of the resistor-capacitor oscillation circuit, the multi-stage voltage source is electrically connected to the resistor-capacitor oscillation circuit and the phase-locked loop, and the multi-stage voltage source provides multiple alternative supply voltages for the resistor-capacitor oscillation circuit and the phase-locked loop;

[0069] The resistor-capacitor oscillation circuit is provided with a resistor-capacitor micro-water humidity sensor and a plurality of oscillation loading resistors. The resistor-capacitor micro-water humidity sensor and the plurality of oscillation loading resistors are alternatively connected in series to form an RC circuit, and the resistor-capacitor oscillation circuit generates a sine wave signal through the RC circuit;

[0070] The phase-locked loop includes: a phase discriminator, a low-pass filter, and a voltage-controlled oscillator. The output end of the phase discriminator is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the voltage-controlled oscillator, and the output end of the voltage-controlled oscillator is electrically connected to the first input end of the phase discriminator;

[0071] When a sine wave signal is received at the second input terminal of the phase discriminator, an oscillation frequency indication that is positively correlated with the frequency of the sine wave signal is output at the output terminal of the low-pass filter.

[0072] Exemplarily, as Figure 1 shown, a first aspect of an embodiment of the present invention provides a gas humidity detection circuit for high-voltage electrical equipment. As described above, the resistive-capacitive micro water humidity sensor is essentially a capacitor. The insulating medium of the capacitor is affected by the gas humidity, and the capacitance changes. The gas concentration is determined according to the capacitance. At the same time, like other capacitors, the insulating medium of the resistive-capacitive micro water humidity sensor will have a decrease in insulation performance during use, resulting in a drift of the basic capacitance. Some current technical means are to periodically calibrate and re-correct the working curve of the instrument. The traditional calibration method is to remove the sensor and use a precise sensor for comparative detection for calibration, which is inefficient.

[0073] The present invention provides a detection circuit for on-line calibration and gas humidity detection. As we know, the capacitance shown by a capacitor (capacitance observed value) will be affected by various factors, including operating temperature, operating voltage, and operating frequency. Obviously, for the resistive-capacitive micro water humidity sensor in the embodiment of the present invention, it will also be affected by the gas humidity. If we restore the capacitance value of the sensor under standard test conditions (standard capacitance value) through different conditions, then we have confidence to clarify how much the sensor has drifted, or, according to the capacitance value under standard test conditions, select its corresponding humidity curve to obtain a more accurate gas humidity.

[0074] Based on the above concept, an embodiment of the present invention provides a gas humidity detection circuit for high-voltage electrical equipment. This circuit can provide multiple operating voltage conditions and multiple operating frequency conditions, and read out the actual operating frequency of the sensor under these conditions, and determine the standard capacitance value based on the actual operating frequency, multiple operating voltage conditions, and operating frequency conditions. Further, the humidity curve is selected through the standard capacitance value to determine the gas humidity.

[0075] The gas humidity detection circuit for high-voltage electrical equipment includes a resistive-capacitive oscillation circuit and a phase-locked loop, both of which are powered by a multi-range standard voltage source to provide different operating voltages.

[0076] The resistive-capacitive oscillation circuit is provided with a plurality of oscillation loading resistors 102. The resistive-capacitive micro water humidity sensor 101 is optionally connected in series with one of the resistors. The RC circuit formed by the two constitutes a feedback network through other components of the resistive-capacitive oscillation circuit ( Figure 1 exemplified as an operational amplifier in the figure) and outputs a sine wave signal. This signal is received by the phase-locked loop, and an indication value indicating the frequency of this sine wave signal is output through the phase-locked loop.

[0077] Specifically, the phase-locked loop is divided into three parts. The sine wave signal and the output of the voltage-controlled oscillator 105 are fed into the phase detector 103. The output of the phase detector 103 is output through the low-pass filter 104 to indicate the oscillation frequency of the voltage-controlled oscillator 105. Those skilled in the art can understand that when the frequency and phase of the output of the voltage-controlled oscillator 105 are the same as those of the sine wave signal, the output of the low-pass filter 104 is a stable value, that is, the value indicating the sine wave signal.

[0078] As described above, when combinations of multiple test conditions are obtained, the standard capacitance value of the sensor can be determined based on multiple capacitance observation values and multiple test conditions, and further accurate detection of the gas can be completed. The above process is described in detail in the second aspect of the embodiments of the present invention.

[0079] Figure 2 It is a flowchart of the method for detecting the gas humidity of high-voltage electrical equipment provided by the embodiments of the present invention.

[0080] As Figure 2 shown, the second aspect of the embodiments of the present invention provides a method for detecting the gas humidity of high-voltage electrical equipment, which is described in detail as follows:

[0081] In step 201, multiple test arrays are obtained, where each test array includes multiple factor values that affect the capacitance value of the humidity sensor.

[0082] In step 202, the multiple test arrays are respectively substituted into the standard capacitance equation to obtain the standard capacitance estimated value of the humidity sensor, where the standard capacitance equation expresses the relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions.

[0083] In some embodiments, the factors that affect the capacitance value of the humidity sensor include: test temperature, oscillation load voltage, oscillation load resistance, oscillation frequency, and gas humidity observation value. The standard capacitance equation is:

[0084]

[0085] In the formula, FE is the test temperature, π is the pi, k c is the oscillation circuit structure constant, R is the oscillation load resistance, C r is the capacitance observation value, b is the bias constant, C is the standard capacitance value, wT i is the i-th temperature coefficient, T is the test temperature, wU i is the i-th voltage coefficient, U is the oscillation load voltage, wRH i is the i-th gas humidity coefficient, RHO is the gas humidity observation value, wFE iis the i-th humidity coefficient.

[0086] In some embodiments, the standard capacitance equation has a plurality of undetermined coefficients, and the plurality of undetermined coefficients are determined according to multiple sets of capacitance capacity test data, including:

[0087] Obtain a plurality of coefficient arrays and multiple sets of capacitance capacity test data, wherein each set of capacitance capacity test data includes: test temperature, test load voltage, test oscillation load resistance, test oscillation frequency, test capacitance observation value, test standard capacitance value, and test gas humidity value;

[0088] Construct the test capacitance observation values of the multiple sets of capacitance capacity test data into a control value array;

[0089] Substitute the plurality of coefficient arrays into the standard capacitance equation one by one to obtain a plurality of process equations;

[0090] For each process equation, substitute the test condition data extracted from the multiple sets of capacitance capacity test data into the process equation one by one, and construct the obtained multiple capacitance observation indication values into an indication value array, wherein each capacitance observation indication value corresponds to a set of capacitance capacity test data, and the extracted test condition data is the data in the capacitance capacity test data except the test capacitance observation value;

[0091] Determine a plurality of mean square errors according to the control value array and the multiple indication value arrays, wherein each mean square error corresponds to a coefficient array;

[0092] Add each mean square error to the corresponding mean square error queue respectively;

[0093] Select the minimum value from the plurality of mean square errors as the reference value;

[0094] If there is no mean square error queue that meets the convergence condition, adjust the plurality of coefficient arrays according to the coefficient array corresponding to the reference value, and jump to the step of substituting the plurality of coefficient arrays into the standard capacitance equation respectively to obtain a plurality of process equations;

[0095] Otherwise, retain the process equation corresponding to the reference value as the standard capacitance equation.

[0096] In some embodiments, the adjusting the plurality of coefficient arrays according to the coefficient array corresponding to the reference value includes:

[0097] For each coefficient array, perform the following steps respectively:

[0098] Extract the minimum value from the mean square error queue of the coefficient array, and use the historical coefficient array corresponding to the minimum value as the process optimal array;

[0099] Adjust the coefficient array according to the first formula, the global optimal array, and the process optimal array, where the first formula is:

[0100]

[0101] In the formula, w (n+1) [j] is the j-th data of the adjusted coefficient array, w (n) [j] is the j-th data of the coefficient array before adjustment, α is the first adjustment coefficient, β is the second adjustment coefficient, D opta [j] is the distance between the coefficient array and the global optimal array in the j-th dimension, D opt [j] is the distance between the coefficient array and the process optimal array in the j-th dimension, D min is the minimum adjustment distance, w (opta) [j] is the j-th data of the global optimal array, w (opth) [j] is the j-th data of the process optimal array.

[0102] Exemplarily, the present invention further determines the standard capacitance value of the sensor through multiple groups of test arrays, and each array is constructed based on the influencing factors affecting the capacitance observation value of the sensor. Specifically, it includes: test temperature, oscillation load voltage, oscillation load resistance, oscillation frequency, and gas humidity observation value. It should be particularly noted that here, in order to obtain the standard capacitance value, the array should include the gas humidity value. However, in fact, due to the on-line detection of the sensor in the implementation manner of the present invention, the condition for obtaining an accurate gas humidity value is not available. Therefore, the gas observation value is used for substitution (the gas humidity determined by the data returned by the sensor). Obviously, this observation value has a large deviation and affects the final result of the standard capacitance value. However, the present invention reduces this influence to a small level through technical means.

[0103] After obtaining the test arrays, substituting each test array into the equation of the relationship between the standard capacitance value and multiple influencing factors (standard capacitance equation), a system of equations can be obtained. According to this system of equations, the standard capacitance value can be determined. This equation is:

[0104]

[0105] In the formula, FE is the test temperature, π is the pi, k c is the oscillation circuit structure constant, R is the oscillation load resistance, C r is the capacitance observation value, b is the bias constant, C is the standard capacitance value, wT i is the i-th temperature coefficient, T is the test temperature, wU i is the i-th voltage coefficient, U is the oscillation load voltage, wRH iis the i-th gas humidity coefficient, RHO is the observed gas humidity value, wFE i is the i-th humidity coefficient.

[0106] It can be seen that this equation is an equation with multiple coefficients (where the oscillation circuit structure constant is a parameter related to the circuit structure provided in the first aspect. When it is a first-level feedback, this structure constant is 1). At this time, we need to determine the solutions of multiple coefficients in the equation.

[0107] When determining the solutions of the coefficients, the embodiment of the present invention generates different load voltages, load resistances, and test oscillation frequencies through the circuit of the first aspect, and combines external conditions: test temperature and the humidity value of the test gas (substituted by the humidity observation value here) to construct a test data set. In this way, a plurality of test data are obtained, and the test capacitance observation values (capacitance values determined by the oscillation circuit structure constant, load resistance, test oscillation frequency, and the first line of the above equation) in these test data are arranged in an orderly manner to construct a control value array.

[0108] Then, obtain and initialize multiple coefficient arrays, substitute them into the above equation, and form multiple process equations. Then, each process equation substitutes the above-mentioned multiple test data (values other than the test capacitance observation value) into each process equation one by one, and the obtained outputs are arranged in an orderly manner again to construct an indication value array. Through the indication value array and the control value array, the mean square error of the process equation is determined. For example, the following formula is applied:

[0109]

[0110] In the above formula, MSE is the mean square error, y i is the i-th data of the control value array, is the i-th data of the indication value array, and m is the total number of data in the control value array or the indication value array.

[0111] In this way, a plurality of mean square errors are obtained. The minimum value is selected from these multiple mean square errors as the reference value, and then these mean square errors are added to the mean square error queue of the corresponding process equation.

[0112] Judge the convergence of each process equation through the mean square error queue. If the convergence condition is met, the equation corresponding to the reference value is used as the standard capacitance equation. Otherwise, the coefficients of each process equation need to be modified. Specifically, for each coefficient array, extract the minimum value from the mean square error queue of the coefficient array, and use the historical coefficient array corresponding to the minimum value as the process optimal array. Adjust the coefficient array according to the first formula, the global optimal array, and the process optimal array, where the first formula is:

[0113]

[0114] wherein, w (n+1) [j] is the j-th data of the adjusted coefficient array, w (n) [j] is the j-th data of the coefficient array before adjustment, α is the first adjustment coefficient, β is the second adjustment coefficient, D opta [j] is the distance between the coefficient array and the global optimal array in the j-th dimension, D opt [j] is the distance between the coefficient array and the process optimal array in the j-th dimension, D min is the minimum adjustment distance, w (opta) [j] is the j-th data of the global optimal array, w (opth) [j] is the j-th data of the process optimal array.

[0115] In step 203, determine the deviation of the standard capacitance application value according to the standard capacitance estimation value, and when the deviation is greater than the deviation threshold, obtain the standard capacitance estimation value again through the standard capacitance equation.

[0116] In some embodiments, when the deviation is greater than the deviation threshold, obtaining the standard capacitance estimation value again through the standard capacitance equation includes:

[0117] Select a reference humidity curve equation according to the standard capacitance estimation value;

[0118] Use the gas humidity observation values in the multiple test arrays as multiple observation values to be updated;

[0119] Determine multiple updated gas humidity observation values according to the test temperatures in the multiple test arrays, the humidity sensor return values when obtaining the multiple observation values to be updated, and the reference humidity curve equation;

[0120] Respectively use the multiple updated gas humidity observation values as the gas humidity observation values of the multiple test arrays;

[0121] Jump to the step of substituting the multiple test arrays into the standard capacitance equation respectively to obtain the standard capacitance estimation value of the humidity sensor.

[0122] Exemplarily, as described above, there is a certain deviation in the standard capacitance value obtained by using the gas observation value to substitute the gas humidity value. To reduce this deviation, in the embodiment of the present invention, after obtaining the standard capacitance estimated value, a humidity curve equation (refer to the humidity curve equation) is reselected. This curve equation is an equation that reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity. Substitute the test temperature in the test array and the return value of the humidity sensor when obtaining the gas humidity observation value in the test array into this reselected humidity curve equation, and a gas humidity observation value with a smaller error is obtained. Substitute this gas humidity observation value for the gas humidity observation value in the test array, and then jump back to the aforementioned step of substituting multiple test arrays into the standard capacitance equation respectively to obtain the standard capacitance estimated value of the humidity sensor. Repeat this process until the deviation between the standard capacitance estimated value and the standard capacitance application value (the standard capacitance application value used to select the reference humidity curve equation, or, the standard capacitance value in the previous iteration) is less than the deviation threshold.

[0123] In step 204, determine the gas humidity according to the return value of the humidity sensor, the gas temperature, and the humidity curve equation selected according to the standard capacitance estimated value, wherein the humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity.

[0124] In some embodiments, the humidity curve equation is determined according to multiple groups of humidity test data, including:

[0125] Obtain a humidity relationship equation, multiple humidity measured values, multiple humidity test arrays, and the standard capacitance value of the humidity sensor to be measured. Among them, the humidity relationship equation expresses the relationship between the gas temperature, the return value of the humidity sensor, and the humidity when the humidity sensor is at the standard capacitance value. Each humidity test array includes: the test gas temperature and the return value of the humidity sensor to be measured, and each humidity test array corresponds to a humidity measured value;

[0126] Determine the solutions of multiple coefficients of the humidity relationship equation by using the least squares method according to the multiple humidity measured values and the multiple humidity test arrays;

[0127] Substitute the solutions of the multiple coefficients into the humidity relationship equation to obtain the humidity curve equation corresponding to the standard capacitance value.

[0128] Exemplarily, after determining the standard capacitance value, the humidity curve equation can be selected through the standard capacitance value, and further, the gas humidity can be determined according to this equation.

[0129] In fact, the humidity curve equation is constructed through multiple tests on a humidity sensor with a known standard capacitance value. Each test yields an actual measured humidity value (obtained through a high-precision humidity sensor, e.g., the humidity measured by a chilled mirror dew point measurement) and a humidity test array. The humidity test array includes the test gas temperature and the return value of the humidity sensor being measured. Based on these data combinations, the least squares method is used to determine the solutions of multiple coefficients of the humidity relationship equation, thereby obtaining the humidity curve equation corresponding to the standard capacitance value.

[0130] In the implementation manner of the gas humidity detection method for high-voltage electrical equipment of the present invention, first, multiple test arrays are obtained, where each test array includes multiple factor values that affect the capacitance value of the humidity sensor. Then, the multiple test arrays are respectively substituted into the standard capacitance equation to obtain the standard capacitance estimated value of the humidity sensor. The standard capacitance equation expresses the relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions. Next, the deviation of the standard capacitance application value is determined based on the standard capacitance estimated value, and when the deviation is greater than the deviation threshold, the standard capacitance estimated value is obtained again through the standard capacitance equation. Finally, the gas humidity is determined based on the return value of the humidity sensor, the gas temperature, and the humidity curve equation selected according to the standard capacitance estimated value. The humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity. In the implementation manner of the present invention, the standard capacitance value of the sensor is determined through multiple factor data groups that affect the observed capacitance value of the sensor, and then the corresponding humidity curve equation is selected through the standard capacitance value, finally completing the detection of humidity. The method of the present invention can determine the drift amount of the sensor without disassembly and calibration, reducing the problem of inaccurate data caused by sensor drift.

[0131] It should be understood that the magnitudes of the sequence numbers of the steps in the above implementation manners do not imply the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the implementation manners of the present invention.

[0132] The following is the device implementation manner of the present invention. For the details not described in detail, reference can be made to the corresponding method implementation manner above.

[0133] Figure 3 is the functional block diagram of the gas humidity detection device for high-voltage electrical equipment provided by the implementation manner of the present invention. Referring to Figure 3 , the gas humidity detection device for high-voltage electrical equipment includes: a test data acquisition module 301, a standard capacitance estimation module 302, a deviation determination module 303, and a gas humidity determination module 304, where:

[0134] A test data acquisition module 301 is configured to acquire a plurality of test arrays, where each test array includes a plurality of factor values that affect the capacitance value of the humidity sensor.

[0135] A standard capacitance estimation module 302 is configured to substitute the plurality of test arrays into a standard capacitance equation respectively to obtain the standard capacitance estimation value of the humidity sensor, where the standard capacitance equation expresses the relationship between a plurality of factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions.

[0136] A deviation determination module 303 is configured to determine the deviation of the standard capacitance application value according to the standard capacitance estimation value, and when the deviation is greater than the deviation threshold, obtain the standard capacitance estimation value again through the standard capacitance equation.

[0137] A gas humidity determination module 304 is configured to determine the gas humidity according to the return value of the humidity sensor, the gas temperature, and a humidity curve equation selected according to the standard capacitance estimation value, where the humidity curve equation reflects the relationship between the gas temperature, the return value of the humidity sensor, and the gas humidity.

[0138] Figure 4 It is a functional block diagram of an electronic device provided by an embodiment of the present invention. As Figure 4 shown, the electronic device 4 of this embodiment includes: a processor 400 and a memory 401, and a computer program 402 that can run on the processor 400 is stored in the memory 401. When the processor 400 executes the computer program 402, the steps in the above-mentioned various high-voltage electrical equipment gas humidity detection methods and embodiments are implemented, such as Figure 2 the steps 201 to 204 shown.

[0139] Exemplarily, the computer program 402 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 401 and executed by the processor 400 to complete the present invention.

[0140] The electronic device 4 can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electronic device 4 may include, but is not limited to, a processor 400 and a memory 401. Those skilled in the art can understand that Figure 4 merely examples of the electronic device 4 do not constitute a limitation to the electronic device 4, and it may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, the electronic device 4 may further include input / output devices, network access devices, a bus, etc.

[0141] The so-called processor 400 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc.

[0142] The memory 401 may be an internal storage unit of the electronic device 4, such as the hard disk or memory of the electronic device 4. The memory 401 may also be an external storage device of the electronic device 4, such as a plug-in hard disk equipped on the electronic device 4, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Further, the memory 401 may also include both the internal storage unit of the electronic device 4 and the external storage device. The memory 401 is used to store the computer program 402 and other programs and data required by the electronic device 4. The memory 401 may also be used to temporarily store data that has been output or is to be output.

[0143] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above-mentioned division of each functional unit and module is used as an example. In actual applications, the above-mentioned functions can be allocated to different functional units and modules as needed, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0144] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0145] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0146] In the embodiments provided by the present invention, it should be understood that the disclosed device / electronic device and method can be implemented in other ways. For example, the device / electronic device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0147] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0148] In addition, the functional units in each embodiment of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0149] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above-described embodiments of the method of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method and apparatus embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0150] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A gas humidity detection circuit for high-voltage electrical equipment, characterized in that: include: Multi-speed standard voltage source, RC oscillator circuit and phase-locked loop; The input end of the phase-locked loop is electrically connected to the output end of the resistor-capacitor oscillator circuit, the multi-speed voltage source is electrically connected to the resistor-capacitor oscillator circuit and the phase-locked loop, and the multi-speed voltage source provides a variety of alternative supply voltages for the resistor-capacitor oscillator circuit and the phase-locked loop; The RC oscillation circuit is provided with a RC micro-humidity sensor and a plurality of oscillation loading resistors. The RC micro-humidity sensor and the plurality of oscillation loading resistors are selectively connected in series to form an RC circuit. The RC oscillation circuit generates a sinusoidal wave signal through the RC circuit. The phase-locked loop comprises: a phase detector, a low-pass filter and a voltage-controlled oscillator, the output end of the phase detector is electrically connected to the input end of the low-pass filter, the output end of the low-pass filter is electrically connected to the input end of the voltage-controlled oscillator, and the output end of the voltage-controlled oscillator is electrically connected to the first input end of the phase detector; When the second input terminal of the phase detector receives a sinusoidal wave signal, the output terminal of the low-pass filter outputs an oscillation frequency indication that is positively correlated with the frequency of the sinusoidal wave signal.

2. A method for detecting gas humidity in high-voltage electrical equipment, characterized in that: Applied to gas humidity detection based on RC micro-water humidity sensor, including: Acquire a plurality of test arrays, wherein the test arrays include a plurality of factor values ​​that affect the capacitance value of the humidity sensor; Substituting the multiple test arrays into a standard capacitance equation respectively to obtain a standard capacitance estimation value of the humidity sensor, wherein the standard capacitance equation expresses a relationship between multiple factors and a capacitance value of the humidity sensor, and the standard capacitance value is a capacitance value of the humidity sensor under standard test conditions; Determining a deviation of a standard capacitance application value according to the standard capacitance estimation value, and obtaining a standard capacitance estimation value again through the standard capacitance equation when the deviation is greater than a deviation threshold; The gas humidity is determined according to the return value of the humidity sensor, the gas temperature and a humidity curve equation selected according to the standard capacitance estimation value, wherein the humidity curve equation reflects the relationship between the gas temperature and the return value of the humidity sensor and the gas humidity.

3. The method for detecting gas humidity of high-voltage electrical equipment according to claim 2, characterized in that: Factors that affect the capacitance value of the humidity sensor include: test temperature, oscillation loading voltage, oscillation loading resistance, oscillation frequency and gas humidity observation value. The standard capacitance equation is: Where FE is the test temperature, π is the circumference of a circle, and k is c is the oscillation circuit structure constant, R is the oscillation loading resistance, C r is the observed capacitance value, b is the bias constant, C is the standard capacitance value, wT i is the i-th temperature coefficient, T is the test temperature, wU i is the i-th voltage coefficient, U is the oscillation loading voltage, wRH i is the i-th gas humidity coefficient, RHO is the gas humidity observation value, wFE i is the i-th humidity coefficient.

4. The method for detecting gas humidity of high-voltage electrical equipment according to claim 2, characterized in that: The standard capacitance equation has a plurality of undetermined coefficients, which are determined according to a plurality of sets of capacitance test data, including: Acquire multiple coefficient arrays and multiple groups of capacitance test data, wherein each group of capacitance test data includes: test temperature, test loading voltage, test oscillation loading resistance, test oscillation frequency, test capacitance observation value, test standard capacitance value and test gas humidity value; constructing the test capacitance observation values ​​of the plurality of groups of capacitance test data into a control value array; Substituting the multiple coefficient arrays into the standard capacitance equation one by one to obtain multiple process equations; For each process equation, the test condition data extracted from the plurality of groups of capacitance test data are substituted into the process equation one by one, and the plurality of capacitance observation indication values ​​are obtained to construct an indication value array, wherein each capacitance observation indication value corresponds to a group of capacitance test data, and the extracted test condition data are data in the capacitance test data except the test capacitance observation value; Determine a plurality of mean square errors according to the control value array and the plurality of indicator value arrays, wherein each mean square error corresponds to a coefficient array; Add each mean square error to the corresponding mean square error queue; Selecting a minimum value from the multiple mean square errors as a reference value; If there is no mean square error queue that meets the convergence condition, the multiple coefficient arrays are adjusted according to the coefficient array corresponding to the reference value, and the process jumps to the step of substituting the multiple coefficient arrays into the standard capacitance equation respectively to obtain multiple process equations; Otherwise, the process equation corresponding to the reference value is retained as the standard capacitance equation.

5. The method for detecting gas humidity of high-voltage electrical equipment according to claim 4, characterized in that: The adjusting the plurality of coefficient arrays according to the coefficient array corresponding to the reference value comprises: For each coefficient array, perform the following steps: Extract the minimum value from the mean square error queue of the coefficient array, and use the historical coefficient array corresponding to the minimum value as the optimal array of the process; The coefficient array is adjusted according to the first formula, the global optimal array and the process optimal array, wherein the first formula is: In the formula, w (n+1) [j] is the jth data of the adjusted coefficient array, w (n) [j] is the jth data in the coefficient array before adjustment, α is the first adjustment coefficient, β is the second adjustment coefficient, D opta [j] is the distance between the coefficient array and the global optimal array in the jth dimension, D opth [j] is the distance between the coefficient array and the optimal process array in the jth dimension, D min is the minimum adjustment distance, w (opta) [j] is the jth data of the global optimal array, w (opth) [j] is the j-th data of the optimal array of the process.

6. The method for detecting gas humidity of high-voltage electrical equipment according to claim 2, characterized in that: When the deviation is greater than the deviation threshold, re-obtaining the standard capacitance estimation value by using the standard capacitance equation again includes: Selecting a reference humidity curve equation according to the standard capacitance estimation value; Using the gas humidity observation values ​​in the plurality of test arrays as a plurality of observation values ​​to be updated; Determine a plurality of gas humidity observation update values ​​according to the test temperatures in the plurality of test arrays, the humidity sensor return value when obtaining the plurality of observation values ​​to be updated, and the reference humidity curve equation; Using the multiple gas humidity observation update values ​​as gas humidity observation values ​​of the multiple test arrays respectively; Jump to the step of substituting the multiple test arrays into the standard capacitance equation respectively to obtain the standard capacitance estimation value of the humidity sensor.

7. The method for detecting gas humidity in high-voltage electrical equipment according to any one of claims 2 to 6, characterized in that: The humidity curve equation is determined based on multiple sets of humidity test data, including: Obtain a humidity relationship equation, multiple humidity measured values, multiple humidity test arrays, and a standard capacitance value of the humidity sensor being measured, wherein the humidity relationship equation expresses the relationship between the gas temperature and the humidity sensor return value and humidity when the humidity sensor is at the standard capacitance value, and each humidity test array includes: the test gas temperature and the humidity sensor return value being measured, and each humidity test array corresponds to a humidity measured value; Determine solutions of multiple coefficients of the humidity relationship equation using a least square method according to the multiple humidity measured values ​​and the multiple humidity test arrays; Substituting the solutions of the multiple coefficients into the humidity relationship equation, a humidity curve equation corresponding to the standard capacitance value is obtained.

8. A gas humidity detection device for high-voltage electrical equipment, characterized in that: Used to implement the high-voltage electrical equipment gas humidity detection method according to any one of claims 2 to 7, the high-voltage electrical equipment gas humidity detection device comprises: A test data acquisition module, used to acquire a plurality of test arrays, wherein the test arrays include a plurality of factor values ​​that affect the capacitance value of the humidity sensor; A standard capacitance estimation module, used for respectively substituting the multiple test arrays into a standard capacitance equation to obtain a standard capacitance estimation value of the humidity sensor, wherein the standard capacitance equation expresses a relationship between multiple factors and the capacitance value of the humidity sensor, and the standard capacitance value is the capacitance value of the humidity sensor under standard test conditions; a deviation determination module, configured to determine a deviation of a standard capacitance application value according to the standard capacitance estimation value, and to obtain a standard capacitance estimation value again through the standard capacitance equation when the deviation is greater than a deviation threshold; as well as, The gas humidity determination module is used to determine the gas humidity according to the return value of the humidity sensor, the gas temperature and the humidity curve equation selected according to the standard capacitance estimation value, wherein the humidity curve equation reflects the relationship between the gas temperature and the return value of the humidity sensor and the gas humidity.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 2 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method as claimed in any one of claims 2 to 7 are implemented.

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