Method and device for correcting thermal equilibrium temperature in a gas chamber, equipment and medium

Abstract

The application discloses a correction method and device for thermal equilibrium temperature in a gas chamber, equipment and a medium, relates to the technical field of gas chamber gas supplementing, and comprises the following steps: constructing a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the theoretical value is a thermal equilibrium temperature value calculated by a multi-dimensional parameter space model; and substituting a target gas state parameter of a to-be-supplemented gas chamber, a target gas injection process parameter and a thermal equilibrium temperature calculated by the multi-dimensional parameter space model into the correlation model to obtain a corrected thermal equilibrium temperature of the to-be-supplemented gas chamber. By constructing a correlation model between the multi-dimensional parameters and the model calculation error, the calculation result of the multi-dimensional parameter model is corrected to obtain a more accurate thermal equilibrium temperature in the gas chamber during equipment gas filling, so that the gas filling amount is calculated based on the accurate thermal equilibrium temperature, the calculated gas filling amount is more accurate, and the insulation performance and operation reliability of GIS are ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of air chamber air supplement, and in particular to a method and device for correcting thermal equilibrium temperature in an air chamber, equipment and a medium. BACKGROUND

[0002] In the field of electrical equipment, especially gas insulated switchgear (GIS), accurately determining the thermal equilibrium temperature in the air chamber is crucial for calculating the air charge and ensuring the insulation performance and operation reliability of the equipment. The traditional method usually only relies on some basic parameters to build a model to estimate the thermal equilibrium temperature.

[0003] However, with the continuous development of GIS equipment and the increasing complexity of application scenarios, the results obtained by the model calculation have a large error compared to the actual thermal equilibrium temperature in the air chamber. This error directly affects the accuracy of the air charge when calculating the air charge, leading to insufficient or excessive air charge, increasing the risk of equipment operation, and even causing safety accidents. SUMMARY

[0004] Therefore, it is necessary to propose a method and device for correcting the thermal equilibrium temperature in the air chamber, equipment and a medium to correct the thermal equilibrium temperature obtained by the model calculation to obtain a more accurate air chamber temperature, so as to calculate a more accurate air charge and make the air supplement more accurate, thereby reducing the risk of equipment operation.

[0005] To achieve the above purpose, the first aspect of the present application provides a method for correcting the thermal equilibrium temperature in the air chamber, characterized in that the method comprises:

[0006] According to the multi-dimensional parameter sample, the theoretical value and the actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, a correlation model is constructed, wherein the multi-dimensional parameter sample contains the gas state parameters of the air chamber and the gas injection process parameters when the air chamber is charged, the theoretical value of the thermal equilibrium temperature is the thermal equilibrium temperature value calculated by the multi-dimensional parameter sample according to the multi-dimensional parameter space model, the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature in the air chamber when the air chamber is charged according to the gas state parameters and the gas injection process parameters, the actual value of the thermal equilibrium temperature is the actual thermal equilibrium temperature of the air chamber under the multi-dimensional parameter sample, and the correlation model represents the relationship between the temperature error between the theoretical value and the actual value and each parameter;

[0007] acquire a target gas state parameter and a target gas injection process parameter of a to-be-supplemented gas chamber, wherein the to-be-supplemented gas chamber is any one of all gas chambers, and the target gas injection process parameter at least includes specific heat capacity of injected gas of the to-be-supplemented gas chamber, contact area of the injected gas and the gas chamber, temperature of the injected gas, flow rate of the injected gas, duration of the injected gas, and pressure in the gas chamber when the injected gas is injected;

[0008] calculate a thermal equilibrium temperature of the to-be-supplemented gas chamber according to the target gas state parameter, the target gas injection process parameter, and the multi-dimensional parameter space model;

[0009] correct the thermal equilibrium temperature of the to-be-supplemented gas chamber by substituting the thermal equilibrium temperature, the target gas state parameter, and the target gas injection process parameter into the correlation model, to obtain a corrected thermal equilibrium temperature of the to-be-supplemented gas chamber.

[0010] Further, the correlation model is represented by the following formula:

[0011]

[0012] In the formula, represents a difference between a theoretical value and an actual value of the thermal equilibrium temperature, is the actual value of the thermal equilibrium temperature of the gas chamber, is the thermal equilibrium temperature of the gas chamber calculated by the multi-dimensional parameter space model, is a polynomial base function, is a coefficient of the polynomial base function, is a target parameter, and the target parameter is any one of the multi-dimensional parameters, n is a total number of the multi-dimensional parameters.

[0013] Further, the method further includes:

[0014] based on the least square method, fitting and iterating according to the multi-dimensional parameter samples and the difference between the theoretical value and the actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter samples, to obtain the coefficient of the polynomial base function.

[0015] Further, the coefficient of the polynomial base function is calculated by the following formula:

[0016]

[0017] In the formula, is the coefficient of the polynomial base function, is a polynomial characteristic matrix of each parameter in the multi-dimensional parameter sample, represents the difference between the theoretical value and the actual value of the thermal equilibrium temperature.

[0018] Further, the method for calculating the theoretical value of the thermal equilibrium temperature in the gas chamber comprises:

[0019] constructing a multi-dimensional parameter space model based on the gas state parameters of the gas chamber and the gas injection process parameters when the gas chamber is filled with gas;

[0020] substituting the multi-dimensional parameter samples into the multi-dimensional parameter space model for temperature calculation to obtain the thermal equilibrium temperature in the gas chamber output by the multi-dimensional parameter space model, which is the theoretical value of the thermal equilibrium temperature in the gas chamber.

[0021] Further, the method for constructing a multi-dimensional parameter space model based on the gas state parameters of the gas chamber and the gas injection process parameters when the gas chamber is filled with gas specifically comprises:

[0022] constructing a total mass calculation formula and a specific internal energy calculation formula in the gas chamber according to the gas state parameters of the gas chamber and the gas injection process parameters when the gas chamber is filled with gas;

[0023] integrating and combining the total mass calculation formula and the specific internal energy calculation formula to obtain an initial implicit function of the thermal equilibrium temperature when the gas chamber is filled with gas;

[0024] correcting the gas specific enthalpy and the specific internal energy in the initial implicit function by using the Bethe-Briggman state equation to obtain corrected actual gas specific enthalpy and actual specific internal energy;

[0025] substituting the actual gas specific enthalpy and the actual specific internal energy into the initial implicit function to obtain a target implicit function of the thermal equilibrium temperature when the gas chamber is filled with gas.

[0026] Further, the gas injection process parameters at least include a preset target pressure value after the gas chamber is filled with gas, and the method further comprises:

[0027] substituting the current thermal equilibrium temperature of the to-be-supplemented gas chamber calculated by the multi-dimensional parameter space model into the Bethe-Briggman state equation to obtain a current pressure value corresponding to the to-be-supplemented gas chamber at the current thermal equilibrium;

[0028] If the error between the target pressure value and the current pressure value is greater than a preset error threshold, the gas charging to the gas chamber to be supplemented continues, and the steps of obtaining the target gas state parameter and the target gas injection process parameter of the gas chamber to be supplemented, calculating the thermal equilibrium temperature of the gas chamber to be supplemented according to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, and correcting the thermal equilibrium temperature in the correlation model by substituting the thermal equilibrium temperature of the gas chamber to be supplemented, the target gas state parameter and the target gas injection process parameter into the correlation model to obtain the corrected thermal equilibrium temperature of the gas chamber to be supplemented are continued until the error between the target pressure value and the current pressure value is less than the error threshold, and then the gas charging is stopped.

[0029] To achieve the above object, the second aspect of the present application provides a correction device for the thermal equilibrium temperature in a gas chamber, which comprises:

[0030] a modeling unit configured to construct a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of a thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the multi-dimensional parameter sample comprises a gas state parameter of a gas chamber and a gas injection process parameter when the gas chamber is being charged, the theoretical value of the thermal equilibrium temperature is a thermal equilibrium temperature value calculated by a preset multi-dimensional parameter space model according to the multi-dimensional parameter sample, the multi-dimensional parameter space model is configured to calculate the thermal equilibrium temperature in the gas chamber when the gas chamber is being charged according to the gas state parameter and the gas injection process parameter, the actual value of the thermal equilibrium temperature is an actual thermal equilibrium temperature of the gas chamber under the multi-dimensional parameter sample, and the correlation model represents the relationship between the temperature error between the theoretical value and the actual value and each parameter;

[0031] a parameter acquisition unit configured to obtain a target gas state parameter and a target gas injection process parameter of a gas chamber to be supplemented, wherein the gas chamber to be supplemented is any one of all gas chambers, and the target gas injection process parameter at least comprises the specific heat capacity of the injected gas of the gas chamber to be supplemented, the contact area of the injected gas and the gas chamber, the temperature of the injected gas, the flow rate of the injected gas, the duration of the injected gas and the pressure in the gas chamber when the injected gas is injected;

[0032] a temperature correction unit configured to calculate the thermal equilibrium temperature of the gas chamber to be supplemented according to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, and correct the thermal equilibrium temperature in the correlation model by substituting the thermal equilibrium temperature of the gas chamber to be supplemented, the target gas state parameter and the target gas injection process parameter into the correlation model to obtain the corrected thermal equilibrium temperature of the gas chamber to be supplemented.

[0033] To achieve the above objectives, a third aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of the method described in the first aspect.

[0034] To achieve the above objectives, a fourth aspect of this application provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the method described in the first aspect.

[0035] The embodiments of the present invention have the following beneficial effects:

[0036] This invention proposes a method for correcting the thermal equilibrium temperature within a gas chamber. The method includes: constructing a correlation model based on multidimensional parameter samples, theoretical values, and actual values ​​of the thermal equilibrium temperature corresponding to the multidimensional parameter samples; wherein the multidimensional parameter samples include gas state parameters of the gas chamber and gas injection process parameters during gas filling of the gas chamber; the theoretical value of the thermal equilibrium temperature is the thermal equilibrium temperature value calculated by a preset multidimensional parameter space model based on the multidimensional parameter samples; the multidimensional parameter space model is used to calculate the thermal equilibrium temperature within the gas chamber during gas filling based on the gas state parameters and gas injection process parameters; the actual value of the thermal equilibrium temperature is the actual thermal equilibrium temperature of the gas chamber under the multidimensional parameter samples; and the correlation model characterizes the relationship between the temperature error between the theoretical and actual values ​​and each parameter; obtaining the target gas state parameters and target gas injection process parameters of the gas chamber to be filled, wherein the gas chamber to be filled is any one of all gas chambers; and substituting the target gas state parameters, target gas injection process parameters, and the thermal equilibrium temperature of the gas chamber to be filled calculated by the multidimensional parameter space model into the correlation model to obtain the corrected thermal equilibrium temperature of the gas chamber to be filled. By constructing a correlation model between multidimensional parameters and model calculation errors, the calculation results of the multidimensional parameter model are corrected to obtain a more accurate thermal equilibrium temperature in the air chamber during equipment inflation. Based on the accurate thermal equilibrium temperature, the inflation volume is calculated, making the calculated inflation volume more precise and ensuring the insulation performance and operational reliability of GIS. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] in:

[0039] Figure 1A flowchart of the correction method of the thermal equilibrium temperature in the gas chamber in the embodiment of the present application is shown in the figure.

[0040] Figure 2 A schematic diagram of the calculation device of the thermal equilibrium temperature in the gas chamber in the embodiment of the present application is shown in the figure.

[0041] Figure 3 A structure block diagram of the correction device of the thermal equilibrium temperature in the gas chamber in the embodiment of the present application is shown in the figure.

[0042] Figure 4 An internal structure diagram of the computer device in the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0043] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

[0044] An embodiment of the present application proposes a correction method of the thermal equilibrium temperature in a gas chamber, which can refer to Figure 1 , Figure 1 A flowchart of the correction method of the thermal equilibrium temperature in the gas chamber in the embodiment of the present application is shown in the figure, and the method comprises the following steps.

[0045] S110, a correlation model is constructed according to the multi-dimensional parameter sample, the theoretical value and the actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the multi-dimensional parameter sample contains the gas state parameter of the gas chamber and the gas injection process parameter when the gas chamber is inflated, the theoretical value of the thermal equilibrium temperature is the thermal equilibrium temperature value calculated by the preset multi-dimensional parameter space model according to the multi-dimensional parameter sample, the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature in the gas chamber when the gas chamber is inflated according to the gas state parameter and the gas injection process parameter, the actual value of the thermal equilibrium temperature is the actual thermal equilibrium temperature of the gas chamber under the multi-dimensional parameter sample, and the correlation model represents the relationship between the temperature error between the theoretical value and the actual value and each parameter.

[0046] In the embodiment, the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperature theoretical value in the gas chamber when the gas chamber is inflated according to the gas state parameter and the gas injection process parameter. Therefore, a multi-dimensional parameter vector can be generated according to the gas state parameter and the gas injection process parameter, and substituted into the multi-dimensional parameter space model to calculate the thermal equilibrium temperature in the gas chamber.

[0047] In an embodiment, the gas chamber is a gas chamber of a gas insulated switchgear (GIS), and the gas chamber is filled with an insulating gas, such as sulfur hexafluoride (SF6).

[0048] In an embodiment, the gas state parameters of the gas chamber can include an initial gas mass of the gas in the gas chamber, a volume of the gas chamber, an initial temperature of the gas chamber, and a specific enthalpy, etc., and the gas injection process parameters can include a specific heat capacity of the injected gas, a contact area of the injected gas with the gas chamber, a temperature of the injected gas, a flow rate of the injected gas, a duration of the injected gas, and a pressure in the gas chamber when the gas is injected, etc.

[0049] Since the result output by the multi-dimensional parameter space model is a theoretical calculation result, there is a linear and nonlinear compound error between the result and the actual heat balance temperature value, therefore, in order to improve the calculation accuracy of the heat balance temperature in the gas chamber, the self-learning error compensation method is used to correct the theoretical value output by the multi-dimensional parameter space model.

[0050] Specifically, first, a training sample is obtained, the training sample includes multi-dimensional parameter samples, and an actual value of the heat balance temperature in the gas chamber corresponding to each multi-dimensional parameter sample, then the multi-dimensional parameter samples are substituted into the multi-dimensional parameter space model to obtain a theoretical value of the heat balance temperature corresponding to the multi-dimensional parameter samples, and finally, a correlation model is determined according to the relationship between each parameter in the multi-dimensional parameter sample and the error between the actual value and the theoretical value of the heat balance temperature in the gas chamber, so as to correct the result output by the multi-dimensional parameter space model based on the correlation model.

[0051] S120, obtaining target gas state parameters and target gas injection process parameters of a gas chamber to be supplemented, wherein the gas chamber to be supplemented is any one of all gas chambers, and the target gas injection process parameters at least include a specific heat capacity of injected gas of the gas chamber to be supplemented, a contact area of the injected gas with the gas chamber, a temperature of the injected gas, a flow rate of the injected gas, a duration of the injected gas, and a pressure in the gas chamber when the gas is injected.

[0052] In the embodiment, the gas chamber to be supplemented is selected as the device that needs to be supplemented, and the gas state parameters of the gas chamber to be supplemented are first selected as the target gas state parameters; secondly, the target gas injection process parameters in the process of supplementing the gas chamber to be supplemented are obtained in real time. The target gas injection process parameters at least include a specific heat capacity of injected gas of the gas chamber to be supplemented, a contact area of the injected gas with the gas chamber, a temperature of the injected gas, a flow rate of the injected gas, a duration of the injected gas, and a pressure in the gas chamber when the gas is injected, etc.

[0053] S130, calculating a heat balance temperature of the gas chamber to be supplemented according to the target gas state parameters, the target gas injection process parameters, and the multi-dimensional parameter space model.

[0054] After obtaining the target gas state parameter and the target gas injection process parameter of the to-be-supplemented gas chamber, a target multi-dimensional vector of the to-be-supplemented gas chamber can be generated according to the target gas state parameter and the target gas injection process parameter, and the target multi-dimensional vector is substituted into the multi-dimensional parameter space model, so that the theoretical value of the thermal equilibrium temperature of the to-be-supplemented gas chamber output by the multi-dimensional parameter space model can be obtained.

[0055] S140, substituting the thermal equilibrium temperature of the to-be-measured gas chamber, the target gas state parameter and the target gas injection process parameter into the correlation model to correct the thermal equilibrium temperature, and obtaining the corrected thermal equilibrium temperature of the to-be-supplemented gas chamber.

[0056] After the theoretical value of the thermal equilibrium temperature of the to-be-supplemented gas chamber is determined, the correlation model is used to correct the theoretical value of the thermal equilibrium temperature of the to-be-supplemented gas chamber, so that the thermal equilibrium temperature of the to-be-supplemented gas chamber that is more consistent with the actual situation can be obtained.

[0057] The embodiment of the present application corrects the calculation result of the multi-dimensional parameter model by constructing a correlation model between the multi-dimensional parameters and the model calculation error, so as to obtain a more accurate thermal equilibrium temperature in the gas chamber during equipment inflation, and calculates the inflation amount based on the accurate thermal equilibrium temperature, so that the calculated inflation amount is more accurate, and the insulation performance and operation reliability of the GIS are ensured.

[0058] In an embodiment of the present application, the method for calculating the theoretical value of the thermal equilibrium temperature in the to-be-measured gas chamber comprises:

[0059] Step 210, constructing a multi-dimensional parameter space model based on the gas state parameter of the gas chamber and the gas injection process parameter when the gas chamber is inflated.

[0060] The multi-dimensional parameter space model is constructed by the obtained gas state parameter and gas injection process parameter of the gas chamber, so that the real-time thermal equilibrium temperature in the gas chamber during gas chamber supplement is calculated by using the multi-dimensional parameter space model according to the multi-dimensional parameter.

[0061] In an embodiment, Step 210 specifically comprises: Step 211, constructing a gas total mass calculation formula and a specific internal energy calculation formula in the gas chamber according to the gas state parameter of the gas chamber and the gas injection process parameter when the gas is inflated.

[0062] In an embodiment, the temperature of SF6 gas is , the flow rate of the SF6 gas is , the initial temperature of the gas chamber is , and the volume of the gas chamber is V . In the inflation time t , the total mass of the SF6 gas in the gas chamber is , and the specific internal energy of the SF6 gas in the gas chamber is .

[0063]

[0064] wherein, is the total mass of the gas in the chamber at the current time, is the initial mass of the gas, is the flow rate of the injected gas, t is the duration of the injected gas, that is, the time counted from the instant of the injection of the gas into the chamber, is the specific internal energy of the gas in the chamber at the current time, is the specific heat capacity of the injected gas, the injected gas and the gas in the chamber being the same gas, that is, is also the specific heat capacity of the gas in the chamber, is the temperature of the injected gas, the temperature of the gas in the chamber and the temperature of the injected gas being different, is the specific enthalpy of the gas (energy per mass), is the contact area of the injected gas with the chamber, is the initial temperature of the chamber, may also be the ambient temperature, because there is no low-temperature at the time of the injection of the gas, the ambient temperature and the temperature in the chamber are considered to be the same, and therefore the ambient temperature and the initial temperature in the chamber are both denoted by , is the thermal equilibrium temperature in the chamber at the current time. denotes the total internal energy of the gas in the chamber at the current time, denotes the energy contribution of the injected gas, denotes the heat exchange term of the chamber with the environment.

[0065] In an embodiment, the temperature of the injected gas , the flow rate of the injected gas , the duration of the injected gas t , the absolute pressure of the gas in the chamber , is the initial temperature of the chamber, and the volume of the chamber is V a six-dimensional parameter space model is constructed .

[0066] In order to ensure the feasibility of the calculation, in an embodiment, the time domain is discretized by using the micro-element method, and the time step is divided into , the total mass and specific internal energy of the gas in the gas chamber after each step iteration are calculated, the gas state parameters at least include initial gas mass in the gas chamber, gas specific enthalpy, gas chamber volume and initial gas chamber temperature, and the gas injection process parameters at least include specific heat capacity of the injected gas, contact area of the injected gas with the gas chamber, temperature of the injected gas, flow rate of the injected gas and duration of the injected gas. Based on this, Step 211, according to the gas state parameters of the gas chamber and the gas injection process parameters when the gas is filled, a total mass calculation formula and a specific internal energy calculation formula of the gas in the gas chamber are constructed, specifically including:

[0067] Step 2111, based on the micro-element method, the duration of the injected gas is discretized, and the duration is divided into multiple time steps.

[0068] Discretization is to divide the continuous time interval into many subintervals, i.e. time steps, to convert the complex continuous problem into a relatively simple discrete problem for analysis and calculation. The time step is the time unit after discretization, and each time step represents a relatively short period of time in the gas injection process,

[0069] By dividing the entire duration into multiple time steps, the entire gas injection process is equivalent to being divided into a series of small process segments, and each time step can be regarded as a microelement, so that the injection and gas chamber conditions in each time step can be analyzed, and the overall situation of the entire gas injection process can be obtained by accumulating the results of each time step.

[0070] Step 2112, according to the initial gas mass, the flow rate of the injected gas and the time step, a total mass calculation formula of the gas in the gas chamber at each time step is constructed.

[0071] Specifically, the total mass calculation formula of the gas in the gas chamber at each time step is as follows:

[0072]

[0073] In the formula, is the total mass of the gas in the gas chamber at the current time step, is the total mass of the gas in the gas chamber at the previous time step, is the flow rate of the injected gas, is the time interval.

[0074] Step 2113, according to the total mass of the gas in the gas chamber, the flow rate of the injected gas, the specific heat capacity of the injected gas, the temperature of the injected gas, the specific internal energy of the gas, the contact area of the injected gas with the gas chamber, the initial gas chamber temperature and the heat balance temperature of the gas in the gas chamber at the time step, a specific internal energy calculation formula of the gas in the gas chamber at each time step is constructed.

[0075] Specifically, the specific internal energy in the gas chamber at each time step is calculated by the following formula:

[0076]

[0077] In the formula, is the specific internal energy in the gas chamber at the current time step, is the total mass of the gas in the gas chamber at the previous time step, is the specific internal energy in the gas chamber at the previous time step, is the flow rate of the injected gas, is the specific heat capacity of the injected gas, is the temperature of the injected gas, is the specific enthalpy of the gas, is the contact area of the injected gas with the gas chamber, is the initial temperature of the gas chamber, is the thermal equilibrium temperature of the gas chamber at the current time step, is the total mass of the gas in the gas chamber at the current time step.

[0078] Step 212, merging and correcting the total mass calculation formula and the specific internal energy calculation formula to obtain a target implicit function of the thermal equilibrium temperature of the gas chamber when the gas chamber is filled with gas, and the multi-dimensional parameter space model includes the target implicit function.

[0079] In this embodiment, by merging the total mass calculation formula and the specific internal energy calculation formula, an implicit function of the thermal equilibrium temperature of the gas chamber when the gas chamber is filled with gas is obtained.

[0080] Since SF6 gas is not an ideal gas, it cannot be represented by the ideal gas state equation, therefore, the implicit function needs to be corrected to obtain a target implicit function that is more consistent with the actual thermal equilibrium temperature.

[0081] In an embodiment, the total energy of the gas is corrected by the Beattie-Bridgman equation to obtain a corrected target implicit function, specifically: Step 212, merging and correcting the total mass calculation formula and the specific internal energy calculation formula to obtain a target implicit function of the thermal equilibrium temperature of the gas chamber when the gas chamber is filled with gas, specifically including:

[0082] Step 2121, integrating and merging the total mass calculation formula and the specific internal energy calculation formula to obtain an initial implicit function of the thermal equilibrium temperature of the gas chamber when the gas chamber is filled with gas.

[0083] In this embodiment, the initial implicit function is represented by the following formula:

[0084]

[0085] In the formula, total mass of gas in the chamber at current time, specific internal energy in the chamber at current time, initial mass of gas, initial specific internal energy in the chamber, flow rate of injected gas, specific heat capacity of injected gas, temperature of injected gas, actual gas specific enthalpy, contact area of injected gas with the chamber, initial chamber temperature, thermal equilibrium temperature in the chamber at current time.

[0086] Step 2122, correct the gas specific enthalpy and specific internal energy in the initial implicit function using the Bethe-Bridgman equation of state to obtain the corrected actual gas specific enthalpy and actual specific internal energy.

[0087] Specifically, the corrected actual gas specific enthalpy and actual specific internal energy are represented by the following formula:

[0088]

[0089] In the formula, corrected actual specific internal energy, ideal gas specific internal energy, volume mass ratio of gas in the chamber, thermal equilibrium temperature in the chamber, absolute pressure of gas in the chamber, corrected actual gas specific enthalpy, gas constant, , are correction coefficients, density of gas, , varies with the density of the gas, used to adjust the fitting accuracy of the equation of state for the actual gas.

[0090] Step 2123, substitute the actual gas specific enthalpy and actual specific internal energy into the initial implicit function to obtain the target implicit function of the thermal equilibrium temperature when the chamber is filled with gas.

[0091] Specifically, the target implicit function is represented by the following formula:

[0092]

[0093] In the formula, total mass of gas in the chamber at current time, corrected specific internal energy in the chamber at current time, is the initial gas mass, is the initial specific internal energy in the gas chamber, is the flow rate of the injected gas, is the specific heat capacity of the injected gas, is the temperature of the injected gas, is the corrected actual gas specific enthalpy, is the contact area of the injected gas with the gas chamber, is the initial gas chamber temperature, is the thermal equilibrium temperature in the gas chamber at the current time.

[0094] Step 210, substituting the target multi-dimensional vector into the multi-dimensional parameter space model to perform temperature calculation, obtaining the thermal equilibrium temperature in the gas chamber output by the multi-dimensional parameter space model, and the thermal equilibrium temperature in the gas chamber output by the multi-dimensional parameter space model is the theoretical value of the thermal equilibrium temperature in the gas chamber.

[0095] The embodiment of the present application corrects the gas specific enthalpy and the specific internal energy, so that the target implicit function obtained based on the corrected gas specific enthalpy and the specific internal energy is more consistent with the actual scene, and the thermal equilibrium temperature calculated according to the target implicit function is more accurate and has smaller error.

[0096] In an embodiment of the present application, the correlation model is represented by the following formula:

[0097]

[0098] In the formula, represents the difference between the theoretical value and the actual value of the thermal equilibrium temperature, is the actual value of the thermal equilibrium temperature of the gas chamber, is the thermal equilibrium temperature of the gas chamber calculated by the multi-dimensional parameter space model, is the polynomial base function, is the coefficient of the polynomial base function, is the target parameter, and the target parameter is any one of the multi-dimensional parameters, n is the total number of the multi-dimensional parameters.

[0099] In the present embodiment, the size of i can be customized. If only a second-order polynomial is considered, there are 28 coefficients, i.e. i = 28, wherein 1 is a 0-order (constant term), 6 is a first-order (linear term coefficient), and 21 is a second-order (6 square term coefficients and 15 cross term coefficients); if a third-order polynomial is considered, there are 84 coefficients, i.e. i = 84, wherein 1 is a 0-order, 6 is a first-order, 21 is a second-order, and 56 is a third-order. For different accuracy requirements, i is also different.

[0100] In the present embodiment, the expansion of the correlation model can be represented as:

[0101]

[0102] In an embodiment of the present application, the method for calculating the polynomial base function coefficient comprises:

[0103] Based on the least square method, the difference between the theoretical value and the actual value of the heat balance temperature corresponding to the multi-dimensional parameter sample is fitted and iterated according to the multi-dimensional parameter sample, and the coefficient of the polynomial base function is obtained.

[0104] Specifically, the coefficient of the polynomial base function is calculated by the following formula:

[0105]

[0106] In the formula, is the coefficient of the polynomial base function, is the polynomial characteristic matrix of each parameter in the multi-dimensional parameter sample, represents the difference between the theoretical value and the actual value of the heat balance temperature.

[0107] wherein, , The calculation method of is based on the least square method iteration, simply speaking, first guess a vector , substitute it into the formula , calculate the error value between the actual error (the difference between the theoretical value and the actual value); then guess another vector , substitute it into the formula to calculate the error value between the actual error (the difference between the theoretical value and the actual value); then based on the least square method, select the middle value in and , then substitute the middle value into the formula to calculate and calculate the error value; then based on the least square method, select a middle value and calculate the error, until the error minimum value is selected as the final vector .

[0108] In an embodiment of the present application, S130, the heat balance temperature of the gas chamber to be compensated is calculated according to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, specifically comprising:

[0109] Step 131, pre-calculate the multi-dimensional parameter sample set by using the multi-dimensional parameter space model to obtain a multi-dimensional parameter space data set, wherein the multi-dimensional parameter sample set contains a plurality of multi-dimensional parameter samples, the parameter size combination of each multi-dimensional parameter sample is different, and the multi-dimensional parameter space data set contains the heat balance temperature in the gas chamber calculated based on the multi-dimensional parameter space model corresponding to each multi-dimensional parameter sample.

[0110] Since the multi-dimensional parameter space model involves multiple iteration algorithms when calculating the thermal equilibrium temperature according to the multi-dimensional parameters, there are problems of high calculation complexity and time-consuming convergence, therefore, the embodiment improves the calculation speed through pre-calculation. Specifically, first, a multi-dimensional parameter sample set is obtained, the multi-dimensional parameter sample set contains multiple different multi-dimensional parameter samples, that is, each parameter value in each multi-dimensional parameter sample is not completely the same; second, the multi-dimensional parameter space model is used to calculate the thermal equilibrium temperatures corresponding to a sufficient number of multi-dimensional parameter samples, so as to generate a multi-dimensional parameter space data set containing the thermal equilibrium temperatures corresponding to each multi-dimensional parameter sample.

[0111] The embodiment of the application pre-calculates the thermal equilibrium temperatures in different air supplement scenarios, so that in subsequent real-time air chamber thermal equilibrium temperature calculation, the data in the multi-dimensional parameter space data set can be directly called to realize the effect of fast calculation of the real-time air chamber thermal equilibrium temperature.

[0112] In an embodiment, Step 131 specifically includes: substituting each sample in the multi-dimensional parameter sample set into the target implicit function to calculate the temperature, to obtain the thermal equilibrium temperature in the air chamber corresponding to each multi-dimensional parameter sample; all the multi-dimensional parameter samples and the thermal equilibrium temperatures in the air chamber corresponding to the multi-dimensional parameter samples constitute a multi-dimensional parameter space data set.

[0113] In the embodiment, the multi-dimensional parameter space data set is constructed as follows:

[0114] By discretizing the different specific air chamber volumes , the different initial pressures of the air chambers , the different low temperatures SF 6 of the temperatures , the different inflation times , the different SF 6 of the inflation rates , the different initial temperatures of the air chambers , the thermal equilibrium temperatures in the air chambers corresponding to different multi-dimensional parameter samples are calculated . The parameters of each dimension (six parameters) are discretized, the low temperature SF6 gas temperature is discretized, that is: ; the low temperature SF6 inflation amount is discretized, that is: ; the inflation time is discretized, that is: ; the air chamber pressure is discretized, that is: ; the air chamber temperature is discretized, that is: ; the air chamber temperature Discretization is performed, i.e.: ; wherein, is the number of discrete points in each dimension (six parameters). Then a six-dimensional tensor is defined, which stores the calculated values at all discrete points:

[0115]

[0116] wherein, ， ， ， ， ， ， The thermal equilibrium temperature of the gas chamber corresponding to different multi-dimensional parameter samples is included.

[0117] Step 132, based on the multi-dimensional interpolation method, calculating the thermal equilibrium temperature of the to-be-supplemented gas chamber according to the target multi-dimensional vector and the multi-dimensional parameter space data set.

[0118] Since the pre-calculated results in the multi-dimensional parameter space data set cannot include the results corresponding to all parameter combinations, the thermal equilibrium temperature of the to-be-supplemented gas chamber can be calculated based on the multi-dimensional interpolation method according to each parameter in the target multi-dimensional vector.

[0119] In an embodiment of the present application, Step 132 specifically includes:

[0120] Step 1321, searching for the parameter interval in which each dimension of the target multi-dimensional vector is located in the multi-dimensional parameter space data set.

[0121] In this embodiment, according to the target multi-dimensional vector , the parameter interval in which each dimension (parameter) in the vector is located is found:

[0122]

[0123] Step 1322, performing weight calculation according to the parameter interval in which each dimension of the target multi-dimensional vector is located and the parameter value of each dimension of the target multi-dimensional vector, to obtain the weight of each dimension in the target multi-dimensional vector.

[0124] In this embodiment, the weight of each parameter is calculated according to the upper limit, lower limit of the corresponding parameter interval and the parameter value, specifically calculated by the following formula:

[0125]

[0126] Step 1323: Perform weighted calculations based on the weight of each dimension in the target multidimensional vector and the corresponding thermal equilibrium temperature in the multidimensional parameter space dataset to obtain the thermal equilibrium temperature of the chamber to be replenished.

[0127] In this embodiment, the thermal equilibrium temperature of the chamber to be replenished is calculated using the following formula:

[0128]

[0129] in, For the target multidimensional vector, It is the first i Each parameter corresponds to a binary variable, 1≤ i ≤ n , n The total number of multidimensional parameters, For the first i The weights corresponding to each parameter For a multidimensional parameter space dataset, the multidimensional vectors are ( The corresponding thermal equilibrium temperature at that time. k i It is the lower limit of the parameter interval where the i-th parameter is located.

[0130] The embodiments of the present invention use a multi-dimensional parameter space model for pre-calculation and combine it with a multi-dimensional interpolation method to improve the calculation efficiency of thermal equilibrium temperature. When calculating the inflation volume based on the thermal equilibrium temperature, it avoids the situation where the inflation volume has been over-inflated before the thermal equilibrium temperature has been calculated, thereby improving the accuracy of air chamber inflation and ensuring the insulation performance and operational reliability of GIS.

[0131] To better understand the above formula, the following examples are provided for illustration:

[0132] In one embodiment, the first multidimensional vector of the current chamber to be replenished is However, this sample is not available in the multidimensional parameter space dataset. Therefore, interpolation is required to calculate the thermal equilibrium temperature corresponding to this vector.

[0133] Before performing interpolation, it is necessary to find the two nearest points corresponding to each parameter as the parameter interval. Based on the upper and lower limits of the parameter interval (the two nearest points), the weight of each parameter is calculated, as shown in Table 1. Table 1 is a weight comparison table of each parameter in the first multidimensional vector.

[0134] Table 1. Weight Comparison Table of the First Multidimensional Vector

[0135]

[0136] Table , Corresponding to Superscript and represent the labels of the two nearest points, in order to distinguish the numerical values.

[0137] After the weight of each parameter is calculated, all the 0 / 1 combinations of the parameters are selected, and the weight and vertex value product of each item are calculated.

[0138] Table 2 Vertex values corresponding to the first multi-dimensional vector in the six-dimensional space tensor

[0139]

[0140] wherein the calculation result of the weight w is as follows:

[0141] Based on this, the calculation result obtained according to the calculation formula of the heat balance temperature of the to-be-supplemented air chamber is:

[0142]

[0143] In another embodiment, the second multi-dimensional vector of the current to-be-supplemented air chamber is

[0144] However, there is no such sample in the multi-dimensional parameter space data set, but there is Therefore, no interpolation is needed. Before interpolation of other parameters, the two nearest points corresponding to each parameter need to be found as the parameter interval, and the weight of each parameter is calculated based on the upper limit and lower limit (the two nearest points) of the parameter interval. As shown in Table 3, Table 3 is a weight table of each parameter in the second multi-dimensional vector.

[0145] Table 3 Weight table of the second multi-dimensional vector

[0146]

[0147] After the weight of the other three parameters is calculated, all the 0 / 1 combinations of the three parameters are selected, and the weight and vertex value product of each item are calculated.

[0148] 4 b 5 ,b 6 ,b After the calculation, all the 0 / 1 combinations of the parameters are selected, and the weight and vertex value product of each item are calculated.

[0149]

[0150] Table 4 Vertex values corresponding to the second multi-dimensional vector in the six-dimensional space tensor

[0151] ​​​

[0152] Based on this, the calculation result obtained according to the calculation formula of the thermal equilibrium temperature of the gas chamber to be supplemented is:

[0153]

[0154] In an embodiment of the present application, before or during the inflation of the gas chamber to be supplemented, the related parameters of the gas chamber can be collected and calculated by using the calculation device of the thermal equilibrium temperature in the gas chamber, which can refer to Figure 2 , Figure 2 The device of the calculation of the thermal equilibrium temperature in the gas chamber in the embodiment of the present application is shown in the figure, which comprises an SF6 high-pressure steel cylinder 1, a first temperature sensor 2-1, a second temperature sensor 2-2, an electromagnetic pressure reducing valve 3, a flow meter 4, a first electromagnetic valve 5-1, a second electromagnetic valve 5-2, a third electromagnetic valve 5-3, a buffer tank 6, a gas recovery interface 7, a first pressure sensor 8-1, a second pressure sensor 8-2, and a gas chamber to be supplemented 9.

[0155] Before the inflation of the gas chamber to be supplemented, first, the initial gas chamber pressure in the gas chamber to be supplemented 9 is recorded by the second pressure sensor 8-2, and then the SF6 gas in the gas chamber to be supplemented 9 flows into the buffer tank 6, the volume of which is known as When the pressure values displayed by the first pressure sensor 8-1 and the second pressure sensor 8-2 are the same and stable, the pressure value at this time is recorded and the temperature value recorded by the second temperature sensor 2-2 at this time is returned to the upper computer. Since the SF6 gas in the gas chamber is used in this process, and the process time is very short, the temperature has little effect on the result, and the ideal gas state equation can be used to describe the state of the SF6 gas. The gas chamber to be supplemented 9 and the buffer tank 6 have the following relationship:

[0156]

[0157] In the formula, P is the pressure of the gas chamber, V is the volume of the gas chamber, is the pressure value in the gas chamber to be supplemented and the buffer tank when the pressure values displayed by the first pressure sensor 8-1 and the second pressure sensor 8-2 are the same and stable, is the volume of the buffer tank.

[0158] The volume of the gas chamber to be supplemented 9 is :

[0159]

[0160] After the measurement is completed, the second electromagnetic valve 5-2 and the third electromagnetic valve 5-3 are closed, so as to obtain the initial gas state parameters of the gas chamber to be supplemented.

[0161] During the process of replenishing gas to the gas replenishment chamber, the electromagnetic pressure reducing valve 3, the first electromagnetic valve 5-1, and the third electromagnetic valve 5-3 are opened, and the flow rate is recorded by the first temperature sensor 2-1. SF 6. Gas temperature The flow rate of the low-temperature water was recorded by flow meter 4. SF 6 Gas flow rate l and inflation time t .

[0162] Using the aforementioned multidimensional spatial model for calculation and correction, the current thermal equilibrium temperature of the chamber to be replenished is obtained at the current moment. Simultaneously, the target pressure value of the chamber is acquired in real time, which is the pre-set pressure value that the chamber must ultimately reach. The current thermal equilibrium temperature of the chamber to be replenished, calculated by the multidimensional parameter spatial model, is substituted into the Bertie-Bridgeman equation of state to obtain the current pressure value of the chamber to be replenished at the current thermal equilibrium. If the error between the target pressure value and the current pressure value is greater than a preset error threshold, gas is continued to be added to the chamber to be replenished, and the acquisition of the target gas state parameters and target gas injection process parameters of the chamber to be replenished is continued. The thermal equilibrium temperature of the chamber to be replenished is calculated based on the target gas state parameters, target gas injection process parameters, and the multidimensional parameter spatial model. The thermal equilibrium temperature of the chamber to be replenished, the target gas state parameters, and the target gas injection process parameters are substituted into the correlation model to correct the thermal equilibrium temperature, obtaining the corrected thermal equilibrium temperature of the chamber to be replenished. The process continues until the error between the target pressure value and the current pressure value is less than the error threshold, at which point the gas filling stops.

[0163] Specifically, based on the recorded data: low temperature SF 6. Gas temperature Low temperature SF 6 inflation volume l and inflation time t air pressure in the air chamber P air chamber temperature air chamber volume V It can be derived from a six-dimensional parameter space model. The corresponding indoor thermal balance temperature is called in the middle. And through the thermal equilibrium temperature at this time. The current pressure value at 20℃ corresponding to the air supply chamber is calculated. If the current pressure value is... Not equal to the target pressure value Then remeasure the pressure value in the current air chamber. P The data is then input into a six-dimensional parameter space model for repeated calculations and calls to obtain a corresponding indoor thermal equilibrium temperature. Obtained through iterative calculation Then calculate the corresponding , until corresponding and the target pressure value is less than a set value difference threshold P , stop inflating, complete the air chamber supplementing.

[0164] The method for calculating the thermal equilibrium temperature can calculate the thermal equilibrium temperature in the air chamber in real time, and the air inflating amount is adaptively controlled according to the thermal equilibrium temperature, so that the air inflating amount is more accurate, and the phenomenon of air under-inflation or over-inflation is reduced.

[0165] In an embodiment of the present application, a correction device for the thermal equilibrium temperature in the air chamber is provided, please refer to Figure 3 , Figure 3 is a structural block diagram of the correction device for the thermal equilibrium temperature in the air chamber in the embodiment of the present application, the device comprises:

[0166] The modeling unit 301 is configured to construct a correlation model according to the multi-dimensional parameter sample, the theoretical value and the actual value of the thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the multi-dimensional parameter sample comprises the gas state parameter of the air chamber and the gas injection process parameter when the air chamber is inflated, the theoretical value of the thermal equilibrium temperature is the thermal equilibrium temperature value calculated by the preset multi-dimensional parameter space model according to the multi-dimensional parameter sample, the multi-dimensional parameter space model is configured to calculate the thermal equilibrium temperature in the air chamber when the air chamber is inflated according to the gas state parameter and the gas injection process parameter, the actual value of the thermal equilibrium temperature is the actual thermal equilibrium temperature of the air chamber under the multi-dimensional parameter sample, and the correlation model represents the relationship between the temperature error between the theoretical value and the actual value and each parameter;

[0167] The parameter acquisition unit 302 is configured to acquire the target gas state parameter and the target gas injection process parameter of the air chamber to be supplemented, wherein the air chamber to be supplemented is any one of all air chambers, and the target gas injection process parameter at least comprises the specific heat capacity of the injected gas of the air chamber to be supplemented, the contact area of the injected gas and the air chamber, the temperature of the injected gas, the flow rate of the injected gas, the duration of the injected gas and the pressure in the air chamber when the injected gas is injected;

[0168] The temperature correction unit 303 is configured to calculate the thermal equilibrium temperature of the air chamber to be supplemented according to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, and correct the thermal equilibrium temperature of the air chamber to be supplemented by substituting the thermal equilibrium temperature of the air chamber to be supplemented, the target gas state parameter and the target gas injection process parameter into the correlation model, to obtain the corrected thermal equilibrium temperature of the air chamber to be supplemented.

[0169] The air chamber thermal balance temperature correction device proposed in this embodiment of the invention constructs a correlation model between multidimensional parameters and model calculation errors to correct the calculation results of the multidimensional parameter model, so as to obtain a more accurate thermal balance temperature in the air chamber when the equipment is filled with air. Based on the accurate thermal balance temperature, the air volume is calculated, making the calculated air volume more accurate and ensuring the insulation performance and operational reliability of GIS.

[0170] Figure 4 An internal structural diagram of a computer device according to one embodiment of the present invention is shown. This computer device can specifically be a terminal or a system. Figure 4 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program causes the processor to perform the steps in the above-described method embodiments. The internal memory may also store a computer program, which, when executed by the processor, causes the processor to perform the steps in the above-described method embodiments. Those skilled in the art will understand that... Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0171] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps in the above method embodiments.

[0172] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, causes the processor to perform the steps in the above method embodiments.

[0173] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, storage, database or other medium used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0174] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0175] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A method of correcting for thermal equilibrium temperature within a plenum, characterized by, The method comprises: According to the multi-dimensional parameter sample, the theoretical value and the actual value of the heat balance temperature corresponding to the multi-dimensional parameter sample, a correlation model is constructed, wherein the multi-dimensional parameter sample contains the gas state parameter of the gas chamber and the gas injection process parameter when the gas chamber is inflated, the theoretical value of the heat balance temperature is the heat balance temperature value calculated by the preset multi-dimensional parameter space model according to the multi-dimensional parameter sample, the multi-dimensional parameter space model is used to calculate the heat balance temperature in the gas chamber when the gas chamber is inflated according to the gas state parameter and the gas injection process parameter, the actual value of the heat balance temperature is the actual heat balance temperature of the gas chamber under the multi-dimensional parameter sample, and the correlation model represents the relationship between the temperature error between the theoretical value and the actual value and each parameter; Obtain the target gas state parameter and the target gas injection process parameter of the to-be-supplemented gas chamber, wherein the to-be-supplemented gas chamber is any one of all gas chambers, and the target gas injection process parameter at least includes the specific heat capacity of the injected gas of the to-be-supplemented gas chamber, the contact area of the injected gas and the gas chamber, the temperature of the injected gas, the flow rate of the injected gas, the duration of the injected gas, and the pressure in the gas chamber when the injected gas is injected; According to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, the heat balance temperature of the to-be-supplemented gas chamber is calculated; The heat balance temperature of the to-be-supplemented gas chamber, the target gas state parameter and the target gas injection process parameter are substituted into the correlation model to correct the heat balance temperature, and the corrected heat balance temperature of the to-be-supplemented gas chamber is obtained; The method for calculating the theoretical value of the heat balance temperature in the gas chamber comprises: Based on the gas state parameter of the gas chamber and the gas injection process parameter when the gas chamber is inflated, a multi-dimensional parameter space model is constructed; The multi-dimensional parameter sample is substituted into the multi-dimensional parameter space model for temperature calculation, and the heat balance temperature in the gas chamber output by the multi-dimensional parameter space model is obtained, which is the theoretical value of the heat balance temperature in the gas chamber.

2. The method of claim 1, wherein, The correlation model is represented by the following formula: wherein represents a difference between a theoretical value and an actual value of the thermal equilibrium temperature, is an actual value of the thermal equilibrium temperature of the gas chamber, is the thermal equilibrium temperature of the gas chamber calculated by the multi-dimensional parameter space model, is a polynomial base function, is a coefficient of the polynomial base function, is a target parameter, which is any one of the multi-dimensional parameters, n is a total number of the multi-dimensional parameters.

3. The method of claim 2, wherein, The method further comprises: Based on the least square method, the multi-dimensional parameter sample, and the difference between the theoretical value and the actual value of the heat balance temperature corresponding to the multi-dimensional parameter sample are fitted and iterated to obtain the coefficients of the polynomial base function.

4. The method of claim 3, wherein, The coefficients of the polynomial base function are calculated by the following formula: wherein is a coefficient of the polynomial basis function, is a polynomial feature matrix of each parameter in the multi-dimensional parameter sample, represents a difference between a theoretical value and an actual value of the thermal equilibrium temperature.

5. The method of claim 1, wherein, The multi-dimensional parameter space model is constructed based on the gas state parameter of the gas chamber and the gas injection process parameter when the gas chamber is inflated, specifically comprising: According to the gas state parameter of the gas chamber and the gas injection process parameter when the gas is inflated, a gas total mass calculation formula and a specific internal energy calculation formula in the gas chamber are constructed; The total mass calculation formula and the specific internal energy calculation formula are integrated and combined to obtain an initial implicit function of the heat balance temperature when the gas chamber is inflated; The gas specific enthalpy and the specific internal energy in the initial implicit function are corrected by using the Bethe-Bridgman state equation to obtain corrected actual gas specific enthalpy and actual specific internal energy; The actual gas specific enthalpy and the actual specific internal energy are substituted into the initial implicit function to obtain a target implicit function of the thermal equilibrium temperature of the gas chamber when the gas chamber is filled with gas.

6. The method of claim 1, wherein, The gas injection process parameters at least include a preset target pressure value of the gas chamber after being filled with gas, and the method further comprises: The current thermal equilibrium temperature of the to-be-supplemented gas chamber calculated by the multi-dimensional parameter space model is substituted into the Bethe-Bridgman state equation to obtain a current pressure value corresponding to the to-be-supplemented gas chamber at the current thermal equilibrium; If the error between the target pressure value and the current pressure value is greater than a preset error threshold, the gas continues to be filled into the to-be-supplemented gas chamber, and the steps of obtaining the target gas state parameters and the target gas injection process parameters of the to-be-supplemented gas chamber, calculating the thermal equilibrium temperature of the to-be-supplemented gas chamber according to the target gas state parameters, the target gas injection process parameters and the multi-dimensional parameter space model, and correcting the thermal equilibrium temperature by substituting the thermal equilibrium temperature of the to-be-supplemented gas chamber, the target gas state parameters and the target gas injection process parameters into the correlation model are continued until the error between the target pressure value and the current pressure value is less than the error threshold, and the gas filling is stopped.

7. A device for correcting the thermal equilibrium temperature in a gas chamber, characterized in that The device comprises: The modeling unit is configured to construct a correlation model according to a multi-dimensional parameter sample, a theoretical value and an actual value of a thermal equilibrium temperature corresponding to the multi-dimensional parameter sample, wherein the multi-dimensional parameter sample contains a gas state parameter of a gas chamber and a gas injection process parameter when the gas chamber is filled with gas, the theoretical value of the thermal equilibrium temperature is a thermal equilibrium temperature value calculated by a multi-dimensional parameter space model according to the multi-dimensional parameter sample, the multi-dimensional parameter space model is configured to calculate a thermal equilibrium temperature in the gas chamber when the gas chamber is filled with gas according to the gas state parameter and the gas injection process parameter, the actual value of the thermal equilibrium temperature is an actual thermal equilibrium temperature of the gas chamber under the multi-dimensional parameter sample, and the correlation model represents a relationship between a temperature error between the theoretical value and the actual value and each parameter; The parameter acquisition unit is configured to obtain target gas state parameters and target gas injection process parameters of a to-be-supplemented gas chamber, wherein the to-be-supplemented gas chamber is any one of all gas chambers, and the target gas injection process parameters at least include specific heat capacity of injected gas of the to-be-supplemented gas chamber, contact area of the injected gas and the gas chamber, temperature of the injected gas, flow rate of the injected gas, duration of the injected gas and pressure in the gas chamber when the injected gas is injected. The temperature correction unit is configured to calculate the heat balance temperature of the chamber to be filled according to the target gas state parameter, the target gas injection process parameter and the multi-dimensional parameter space model, and correct the heat balance temperature of the chamber to be filled by substituting the heat balance temperature of the chamber to be filled, the target gas state parameter and the target gas injection process parameter into the correlation model to obtain a corrected heat balance temperature of the chamber to be filled. The device is further configured to construct a multi-dimensional parameter space model based on the gas state parameter of the chamber and the gas injection process parameter when the chamber is filled with gas, substitute the multi-dimensional parameter sample into the multi-dimensional parameter space model for temperature calculation, and obtain the heat balance temperature in the chamber output by the multi-dimensional parameter space model, which is a theoretical value of the heat balance temperature in the chamber.

8. A computer readable storage medium storing a computer program, characterized in that, The computer program, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 6. 9.A computer device, comprising a memory and a processor, and characterized in that, The memory stores a computer program, and the computer program, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 6.

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