Insulating gas self-adaptive detection assembly, method, device and equipment and storage medium

Abstract

The invention relates to the technical field of insulating gas decomposer concentration detection, in particular to an insulating gas self-adaptive detection assembly, method, device and equipment and a storage medium. Respectively substituting the plurality of gas acquisition arrays and the sampling temperatures corresponding to the plurality of gas acquisition arrays into a sensing sampling value equation set to obtain a plurality of first equation sets; and finally, solving the plurality of first equation sets to obtain a plurality of gas concentrations. According to the method, the sampling stable value array of the electrochemical sensor under multiple gas temperature conditions is substituted into the equation set for expressing the relationship between the sampling value of the electrochemical sensor and the multiple gas concentrations to determine the multiple gas concentrations, so that the effect that the electrochemical sensor is easily interfered by other gases can be eliminated, and the output gas concentration data is accurate and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of detecting the concentration of decomposed insulating gas, and particularly to an adaptive detecting component, method, device, equipment and storage medium for insulating gas. Background Art

[0002] A gas insulating material is a gas that can keep insulation between electrodes with potential difference. Gas insulation has the advantages of stable permittivity, extremely small dielectric loss, non-flammable, non-explosive, good chemical stability, non-aging, and low price.

[0003] Sulfur hexafluoride, as the mainstream gas insulating material, is widely used in gas insulated switchgear (GIS, Gas Insulated Switch) equipment. In gas insulated switchgear, the insulating gas will be decomposed to a certain extent under the influence of electrical equipment, and the decomposition products usually include: SO 2 , CO, H 2 S. Real-time monitoring of the concentration of insulating gas and its decomposition products is the key to ensuring the stable operation of gas insulated switchgear.

[0004] At present, the concentration monitoring data of insulating gas and its decomposition products are obtained by the sensor returning values or through simple calculations. Since the insulating gas and its decomposition products will have different effects on the sensor module, which may interfere with the accurate measurement of the sensor, generally, the concentration data of insulating gas and its decomposition products are not accurate.

[0005] To solve this problem, it is necessary to study the interference effects of different gas backgrounds on the sensor module.

[0006] Based on this, it is necessary to develop and design an adaptive detecting method for insulating gas. Summary of the Invention

[0007] Embodiments of the present invention provide an adaptive detecting component, method, device, equipment and storage medium for insulating gas, which are used to solve the problem that after the insulating gas decomposes in the prior art, the gas concentration data output by the gas sensor are inaccurate due to the interference of temperature and other gases.

[0008] In a first aspect, embodiments of the present invention provide an adaptive detecting component for insulating gas, including:

[0009] An air blower, a heater, an air duct, a first temperature sensor, a second temperature sensor, a processor and a plurality of electrochemical sensors, where each electrochemical sensor corresponds to a kind of gas;

[0010] The outlet of the air blower is communicated with the inlet of the air duct, the heater is fixedly arranged on the outlet side of the air blower, and the measuring ends of the plurality of electrochemical sensors are fixedly arranged inside the air duct in a circumferential array;

[0011] The first temperature sensor and the second temperature sensor are respectively arranged on the inlet side and the outlet side of the air duct;

[0012] The processor is electrically connected to the plurality of electrochemical sensors respectively;

[0013] When obtaining gas collection arrays under different temperature conditions, the processor determines the concentrations of multiple gases in the mixed gas according to the multiple gas collection arrays and the temperature conditions corresponding to each gas collection array, wherein the gas collection array includes multiple gas sampling values, and each gas sampling value is obtained based on the corresponding electrochemical sensor.

[0014] In a second aspect, an insulating gas adaptive detection method provided by an embodiment of the present invention is applied to the insulating gas adaptive detection assembly as described in the first aspect. The insulating gas adaptive detection method includes:

[0015] Obtain multiple gas collection arrays, wherein each gas collection array corresponds to a sampling temperature, the gas collection array includes multiple gas sampling stable values, and the gas sampling stable value represents the sampling value when the sensor stably outputs at a predetermined sampling temperature;

[0016] Substitute the multiple gas collection arrays and the sampling temperatures corresponding to the multiple gas collection arrays into the sensing sampling value equation set respectively to obtain multiple first equation sets, wherein the sensing sampling value equation outputs the sensor sampling value according to the concentrations of multiple gases and the air temperature, and the sensing sampling value equation is constructed according to the sampling values of a predetermined proportion of the mixed gas under multiple test temperature conditions;

[0017] Solve the multiple first equation sets to obtain multiple gas concentrations.

[0018] In a possible implementation manner, the obtaining of the multiple gas collection arrays includes:

[0019] For each gas collection array, it is obtained respectively through the following steps:

[0020] Stabilize the sampling temperature;

[0021] At preset time nodes, obtain multiple first sampling values from multiple electrochemical sensors, and construct the multiple first sampling values into multiple sampling queues according to the correspondence with the electrochemical sensors;

[0022] Using the least squares method and the multiple sampling queues, fit a sampling value change equation to obtain a plurality of second equations, where each second equation characterizes the characteristic of the sampling value of an electrochemical sensor changing with time;

[0023] Determine the sampling stable values of a plurality of electrochemical sensors according to the plurality of second equations;

[0024] Construct the sampling stable values of the plurality of electrochemical sensors into a gas collection array.

[0025] In a possible implementation manner, the sampling value change equation is:

[0026]

[0027] In the formula, GV(t) is the change amount of the sampling value with time, GCSV is the sampling stable value, e is the natural constant, t is the time variable, τ is the change coefficient, and t 0 is the initial moment.

[0028] In a possible implementation manner, the construction process of the sensing sampling value equation set includes:

[0029] Obtain multiple groups of mixed gases;

[0030] Test each group of mixed gases under multiple test temperature conditions respectively, and construct multiple first test gas arrays according to the test results, where each first test gas array is constructed according to the multiple sampling values returned by the insulating gas adaptive detection device for the mixed gas at the test temperature, the test temperature, and the concentrations of multiple gases in the mixed gas;

[0031] Select multiple reference arrays from the multiple first test gas arrays, find and delete the noisy first test gas arrays from the multiple first test gas arrays by calculating the similarity index with the multiple reference arrays, and use the remaining multiple first test gas arrays as the second test gas arrays;

[0032] Adjust the total number of coefficients in the sensing sampling value equation not to exceed the total number of the multiple second test gas arrays;

[0033] Determine the values of the coefficients in the sensing sampling value equation according to the multiple second test gas arrays.

[0034] In a possible implementation manner, the sensing sampling value equation is:

[0035]

[0036] In the formula, SGV(n) is the concentration of the nth gas, T is the sampling temperature, and T 0 is the reference temperature value, and αmn is the m·n-th first coefficient, M is the total number of exponents, N is the number of gas types in the mixture, and β i is the i-th second coefficient, TGV(i) is the sampled value concentration of the i-th gas, and c 1 is the first intercept coefficient, and c 2 is the second intercept coefficient.

[0037] In a possible implementation manner, selecting multiple reference arrays from the multiple first test gas arrays, finding and deleting the noisy first test gas arrays by calculating the similarity index with the multiple reference arrays, and using the remaining multiple first test gas arrays as the second test gas arrays includes:

[0038] Obtain the number of iterations;

[0039] Randomly select a first number of multiple first test gas arrays from the multiple first test gas arrays as multiple first reference arrays;

[0040] For each first test gas array, calculate the similarity coefficient with each first reference array, and calculate the average value of the multiple similarity coefficients as the first similarity index;

[0041] If the number of iterations is not reached, then select multiple first test gas arrays with the largest first similarity index from the multiple first test gas arrays according to the first number as multiple first reference arrays, and jump to the step of calculating the similarity coefficient with each first reference array for each first test gas array and calculating the average value of the multiple similarity coefficients as the first similarity index;

[0042] Otherwise, delete the first test gas arrays corresponding to the first similarity indexes less than the index threshold, and use the first test gas arrays corresponding to the first similarity indexes not less than the index threshold as the second test gas arrays.

[0043] In a third aspect, an insulating gas adaptive detection device provided by an embodiment of the present invention is used to implement the insulating gas adaptive detection method described in the second aspect or any possible implementation manner of the second aspect above. The insulating gas adaptive detection device includes:

[0044] A gas data acquisition module for acquiring multiple gas acquisition arrays, where each gas acquisition array corresponds to a sampling temperature, and the gas acquisition array includes multiple gas sampled values;

[0045] An equation set construction module, configured to substitute the multiple gas collection arrays and the sampling temperatures corresponding to the multiple gas collection arrays into a sensing sampling value equation set respectively, to obtain a plurality of first equation sets, where the sensing sampling value equation outputs a sensor sampling value according to multiple gas concentrations and air temperature;

[0046] And,

[0047] A gas concentration determination module, configured to solve the plurality of first equation sets to obtain a plurality of gas concentrations.

[0048] In a fourth aspect, 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 or any possible implementation manner of the second aspect above are implemented.

[0049] In a fifth aspect, 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 or any possible implementation manner of the second aspect above are implemented.

[0050] The beneficial effects of the embodiment of the present invention compared with the prior art are as follows:

[0051] The embodiment of the present invention discloses an insulating gas adaptive detection method. First, a plurality of gas collection arrays are obtained. Each gas collection array corresponds to a sampling temperature. The gas collection array includes a plurality of gas sampling stable values, and the gas sampling stable value represents the sampling value when the sensor stably outputs at a predetermined sampling temperature. Then, the plurality of gas collection arrays and the sampling temperatures corresponding to the plurality of gas collection arrays are substituted into a sensing sampling value equation set respectively, to obtain a plurality of first equation sets, where the sensing sampling value equation outputs a sensor sampling value according to multiple gas concentrations and air temperature, and the sensing sampling value equation is constructed according to the sampling values of a mixed gas in a predetermined ratio under multiple test temperature conditions. Finally, the plurality of first equation sets are solved to obtain a plurality of gas concentrations. The present invention uses the sampling stable value arrays of an electrochemical sensor under multiple gas temperature conditions, substitutes them into an equation set expressing the relationship between the sampling value of the electrochemical sensor and multiple gas concentrations, and determines multiple gas concentrations, which can exclude the interference of other gases on the electrochemical sensor and output accurate and reliable gas concentration data. Description of the Drawings

[0052] 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 description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0053] Figure 1 It is the schematic diagram of the insulating gas adaptive detection component provided by the embodiment of the present invention;

[0054] Figure 2 It is the flowchart of the insulating gas adaptive detection method provided by the embodiment of the present invention;

[0055] Figure 3 It is the functional block diagram of the insulating gas adaptive detection device provided by the embodiment of the present invention;

[0056] Figure 4 It is the functional block diagram of the electronic device provided by the embodiment of the present invention. Specific Embodiments

[0057] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are presented 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.

[0058] To make the purpose, technical solutions, and advantages of the present invention clearer, the following will be described through specific embodiments with reference to the drawings.

[0059] The following will give a detailed description of the embodiments of the present invention. This example is implemented on the premise of the technical solutions 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.

[0060] Figure 1 It is the schematic diagram of the insulating gas adaptive detection component provided by the embodiment of the present invention.

[0061] As Figure 1 shown, it shows the schematic diagram of the insulating gas adaptive detection component provided by the first aspect of the embodiment of the present invention, which is described in detail as follows:

[0062] An insulating gas adaptive detection component includes:

[0063] An air blower 101, a heater 102, an air duct 103, a first temperature sensor 104, a second temperature sensor 105, a processor, and a plurality of electrochemical sensors 106, wherein each electrochemical sensor 106 corresponds to a kind of gas;

[0064] The outlet of the air blower 101 is communicated with the inlet of the air duct 103. The heater 102 is fixedly arranged on the outlet side of the air blower 101. The measuring ends of the plurality of electrochemical sensors 106 are fixedly arranged in a circumferential array inside the air duct 103;

[0065] The first temperature sensor 104 and the second temperature sensor 105 are respectively arranged on the inlet side and the outlet side of the air duct 103;

[0066] The processor is electrically connected to the plurality of electrochemical sensors 106 respectively;

[0067] When gas acquisition arrays are obtained under different temperature conditions, the processor determines the concentrations of multiple gases in the mixed gas according to the multiple gas acquisition arrays and the temperature conditions corresponding to each gas acquisition array, wherein the gas acquisition array includes a plurality of gas sampling values, and each gas sampling value is obtained based on the corresponding electrochemical sensor 106.

[0068] Exemplarily, as Figure 1 shown, in the first aspect of the embodiment of the present invention, an insulating gas adaptive detection component is provided. The insulating gas and decomposition products are inhaled by the air blower 101. A heater 102 is arranged on one side of the air outlet of the air blower 101. The heated gas is sent into the air duct 103. Two temperature sensors are respectively arranged at both ends of the air duct 103. A plurality of electrochemical sensors 106 are arranged in a circumferential array along the air duct 103 between the two sensors. In this way, it is ensured that the temperature points sampled by the plurality of electrochemical sensors 106 are at the same temperature point, and the positions of the sampled gases tend to be the same.

[0069] The processor is connected to two temperature sensors, a heater 102, and multiple electrochemical sensors 106. During use, the processor controls the heating of the heater 102 based on the temperatures returned by the two temperature sensors, so that the temperature during sampling by the electrochemical sensors 106 is within a predetermined temperature range. When the temperatures returned by the two temperature sensors are stable, the processor samples the data of the electrochemical sensors 106 at a predetermined time interval and constructs these data into a data queue. Since the values of the electrochemical sensors 106 change due to the influence of temperature and it takes a certain period of time to gradually stabilize, therefore, in the embodiment of the present invention, through the analysis of these data queues, the values when each sensor is stable are estimated, and these values are constructed into an array; similarly, this operation is performed at multiple temperature points to obtain multiple arrays. Based on these arrays and the corresponding temperature points, the more accurate gas concentration can be determined using the equation provided in the second aspect of the present invention.

[0070] Figure 2 It is a flowchart of the insulating gas adaptive detection method provided by the embodiment of the present invention.

[0071] As Figure 2 shown, it shows the implementation flowchart of the insulating gas adaptive detection method provided by the second aspect of the embodiment of the present invention, which is described in detail as follows:

[0072] In step 201, multiple gas collection arrays are obtained, where each gas collection array corresponds to a sampling temperature, and the gas collection array includes multiple gas sampling stable values, and the gas sampling stable value represents the sampling value when the sensor outputs stably at a predetermined sampling temperature.

[0073] In some embodiments, step 201 includes:

[0074] For each gas collection array, it is obtained respectively through the following steps:

[0075] Stable sampling temperature;

[0076] At a preset time node, multiple first sampling values are obtained from multiple electrochemical sensors, and according to the correspondence with the electrochemical sensors, the multiple first sampling values are constructed into multiple sampling queues;

[0077] Using the least squares method and the multiple sampling queues, a sampling value change equation is fitted to obtain multiple second equations, where each second equation characterizes the characteristic of the sampling value of an electrochemical sensor changing with time;

[0078] Determine the sampling stable values of multiple electrochemical sensors according to the multiple second equations;

[0079] Construct the sampling stable values of the multiple electrochemical sensors into a gas collection array.

[0080] In some embodiments, the sampling value change equation is as follows:

[0081]

[0082] In the formula, GV(t) is the change amount of the sampling value over time, GCSV is the sampling stable value, e is the natural constant, t is the time variable, τ is the change coefficient, and t 0 is the initial moment.

[0083] Exemplarily, the second aspect of the embodiments of the present invention is to construct the sampling stable values obtained by the electrochemical sensor at the same temperature into a gas collection array. For multiple different temperatures, multiple gas collection arrays can be obtained. Substituting the multiple gas collection arrays into the equation characterizing the relationship between the sampling value of the electrochemical sensor and the gas concentration can determine the concentrations of multiple gases.

[0084] In terms of obtaining the sampling stable value of the electrochemical sensor, one way is to stabilize the temperature of the gas and continuously sample the output value of the electrochemical sensor. When the output value of the electrochemical sensor is stable, the output value of the electrochemical sensor is used as the sampling stable value. Obviously, this method takes a long time, and there will be a certain degree of noise in the stable value.

[0085] The embodiments of the present invention provide another method for determining the sampling stable value. First, when the temperature is stable, the output data stream of the electrochemical sensor is obtained, and then according to the characteristics of the change of the output value of the electrochemical sensor and the output data stream (data queue) of the electrochemical sensor, the output stable value of the electrochemical sensor at this temperature can be determined. In this way, the process of determining the gas concentration is greatly accelerated. The equation for the change of the output value of the electrochemical sensor provided by the present invention:

[0086]

[0087] In the formula, GV(t) is the change amount of the sampling value over time, GCSV is the sampling stable value, e is the natural constant, t is the time variable, τ is the change coefficient, and t 0 is the initial moment.

[0088] As described above, when we sort the data in the sampling queue according to the time nodes, we obtain the sampling data queue. Using the sampling data queue and the least squares method, each coefficient in the above equation can be determined, and the sampling stable value GCSV among them is the output value when the electrochemical sensor is stable.

[0089] The least squares method is a mathematical method widely used in data processing and regression analysis. It finds the best function match for data by minimizing the sum of the squares of errors. Its principle is that for a given set of data points, assuming there is a function model with multiple parameters to be determined (in the above equation: the stable value of GCSV sampling, the variation coefficient of τ, and t 0 which are all parameters to be determined at the initial moment). The goal of the least squares method is to find a set of parameters that minimize the sum of the squares of the errors between the observed values (the sampling queue in the embodiments of the present invention is the observed value) and the model predicted values, that is, to reach the minimum.

[0090] The above equation is a non-linear equation, and the solution method usually requires the use of iterative algorithms to solve, such as Newton's method, Gauss-Newton method, Levenberg-Marquardt method, etc. These methods all start from an initial estimate value and continuously update the parameter values through iteration, so that the sum of the squares of the errors gradually decreases until a certain convergence condition is met.

[0091] In step 202, substitute the multiple gas collection arrays and the sampling temperatures corresponding to the multiple gas collection arrays into the sensing sampling value equation set respectively to obtain multiple first equation sets, where the sensing sampling value equation outputs the sensor sampling value according to the concentrations of multiple gases and the air temperature, and the sensing sampling value equation is constructed according to the sampling values of the mixed gas in a predetermined ratio under multiple test temperature conditions.

[0092] In some embodiments, the construction process of the sensing sampling value equation set includes:

[0093] Obtain multiple groups of mixed gases;

[0094] Test each group of mixed gases respectively under multiple test temperature conditions, and construct multiple first test gas arrays according to the test results. Each first test gas array is constructed according to the multiple sampling values returned by the insulation gas adaptive detection device for the mixed gas at the test temperature, the test temperature, and the concentrations of multiple gases in the mixed gas;

[0095] Select multiple reference arrays from the multiple first test gas arrays, and find and delete the noisy first test gas arrays from the multiple first test gas arrays by calculating the similarity index with the multiple reference arrays, and use the remaining multiple first test gas arrays as the second test gas arrays;

[0096] Adjust the total number of coefficients in the sensing sampling value equation not to exceed the total number of the multiple second test gas arrays;

[0097] Determine the values of the coefficients in the sensing sampling value equation according to the multiple second test gas arrays.

[0098] In some embodiments, the sensing sampling value equation is as follows:

[0099]

[0100] Wherein, SGV(n) is the concentration of the nth gas, T is the sampling temperature, T 0 is the reference temperature value, α mn is the m·nth first coefficient, M is the total number of exponents, N is the number of gas species in the mixture, β i is the ith second coefficient, TGV(i) is the sampled value concentration of the ith gas, c 1 is the first intercept coefficient, c 2 is the second intercept coefficient.

[0101] In some embodiments, selecting a plurality of reference arrays from the plurality of first test gas arrays, finding and deleting the noisy first test gas arrays by calculating the similarity index with the plurality of reference arrays, and using the remaining plurality of first test gas arrays as the second test gas arrays includes:

[0102] Obtain the number of iterations;

[0103] Randomly select a first number of the plurality of first test gas arrays from the plurality of first test gas arrays as the plurality of first reference arrays;

[0104] For each first test gas array, calculate the similarity coefficient with each first reference array, and calculate the average value of the plurality of similarity coefficients as the first similarity index;

[0105] If the number of iterations is not reached, select the plurality of first test gas arrays with the largest first similarity index according to the first number from the plurality of first test gas arrays as the plurality of first reference arrays, and jump to the step of calculating the similarity coefficient with each first reference array for each first test gas array and calculating the average value of the plurality of similarity coefficients as the first similarity index;

[0106] Otherwise, delete the first test gas arrays corresponding to the first similarity indices less than the index threshold, and use the first test gas arrays corresponding to the first similarity indices not less than the index threshold as the second test gas arrays.

[0107] Exemplarily, substituting the above-mentioned plurality of gas collection arrays into the equations expressing the relationship between the sampled values of a plurality of electrochemical sensors and the concentrations of a plurality of gases respectively, equations can be obtained. By solving the equations, the concentrations of the gases can be determined. The equations (sensing sampling value equations) expressing the relationship between the sampled values of a plurality of electrochemical sensors and the concentrations of a plurality of gases adopted in the embodiments of the present invention are:

[0108]

[0109] Wherein, SGV(n) is the concentration of the nth gas, T is the sampling temperature, and T 0 is the reference temperature value, and α mn is the m·nth first coefficient, M is the total number of exponents, N is the number of gas types in the mixed gas, and β i is the ith second coefficient, TGV(i) is the sampled value concentration of the ith gas, and c 1 is the first intercept coefficient, and c 2 is the second intercept coefficient.

[0110] From this system of equations, we can see that in addition to the sensor sampled values and gas concentration values, this system of equations also has multiple coefficients. It is precisely these coefficients combined with the basic framework of the above equations that accurately express the relationship between the sampled values of multiple electrochemical sensors and multiple gas concentrations.

[0111] In fact, the above coefficients are determined based on experimental data by preparing multiple mixed gases (the concentrations of each gas in the mixed gas are pre-prepared and known) and conducting sensor tests on each mixed gas at different temperatures.

[0112] Specifically, each mixed gas is tested at multiple test temperatures. During the test, the temperature condition is stabilized, and the return value of the electrochemical sensor is read according to a predetermined time node. When the return value is stable, the stable return value of the electrochemical sensor (the stable return values of multiple sensors), the test temperature, and the concentrations of each gas in the mixed gas are constructed into a test gas array. Multiple mixed gases are respectively operated as described above at different test temperatures, and multiple groups of test gas arrays (the first test gas arrays) are obtained.

[0113] Predictably, the first test gas arrays usually inevitably carry noise data, and the magnitude of the noise data is uncontrollable. When solving the above coefficients with the noisy data, it will cause deviations in the coefficients, further resulting in inaccurate expression of the relationship between the sampled values of multiple electrochemical sensors and multiple gas concentrations by the above equations.

[0114] To overcome the above defects, the embodiment of the present invention removes the noise data from the above multiple first test gas arrays. The removal process is a process of multiple iterations. Usually, before the iteration, a preset number of iterations (for example, five times) is first set, and then, from the multiple first test gas arrays, a predetermined number of arrays are randomly designated as reference arrays, for example, three arrays are randomly designated as reference arrays. Then, each first test gas array calculates the similarity value with these three reference arrays respectively, and the average value of the three similarity values is calculated as the similarity index. In this way, each first test gas array has a similarity index (the first similarity index).

[0115] If the number of iterations is not reached (for example, not reaching five times), the first test gas arrays corresponding to the three similarity indices with the largest values are used as the new three reference arrays, and then the above process of calculating the similarity indices is repeated.

[0116] If the number of iterations is reached (for example, reaching five times), the first test gas arrays corresponding to the similarity indices less than the threshold are deleted (for example, the threshold is 0.3). That is to say, the similarity between the similarity indices less than the threshold and the reference arrays is poor, and the noise has a relatively significant impact on these arrays. The remaining first test gas arrays participate in the process of determining multiple coefficients of the above equation (for the sake of distinction, the remaining first test gas arrays are used as the second test gas arrays).

[0117] Before adjustment, first adjust the number of coefficients in the above equation set according to the number of multiple second test gas arrays. The principle is that the number of coefficients in the above equation set is not greater than the number of second test gas arrays, and then determine the values of the coefficients in the above equation set according to the second test gas arrays.

[0118] In fact, there are various methods for determining the coefficients of the above equation set. For example, some optimization algorithms, such as particle swarm algorithm, annealing algorithm, etc., are used. Since the application of these solution algorithms to the above solution process is a common technical means for those skilled in the art, the solution process will not be elaborated in detail.

[0119] In step 203, solve the multiple first equation sets to obtain multiple gas concentrations.

[0120] Exemplarily, the object to be determined in the embodiment of the present invention is the gas concentration, and the data dimension included in the gas concentration is known. When the multiple gas collection arrays obtained in the foregoing steps are substituted into the above equation set, multiple equation sets are obtained. It can be known that when the number of multiple equation sets is more than the dimension of the unknown data, the unknown data (that is, multiple gas concentrations to be determined) can obtain a definite solution, that is, multiple gas concentrations are determined.

[0121] Embodiment of the insulating gas self - adaptive detection method of the present invention. First, a plurality of gas collection arrays are obtained. Among them, each gas collection array corresponds to a sampling temperature. The gas collection array includes a plurality of gas sampling stable values, and the gas sampling stable value represents the sampling value when the sensor outputs stably at a predetermined sampling temperature. Then, the plurality of gas collection arrays and the sampling temperatures corresponding to the plurality of gas collection arrays are respectively substituted into the sensing sampling value equation set to obtain a plurality of first equation sets. Among them, the sensing sampling value equation outputs the sensor sampling value according to the concentrations of multiple gases and the air temperature, and the sensing sampling value equation is constructed based on the sampling values of a mixed gas in a predetermined ratio under multiple test temperature conditions. Finally, the plurality of first equation sets are solved to obtain a plurality of gas concentrations. The present invention uses the sampling stable value arrays of the electrochemical sensor under multiple gas temperature conditions, substitutes them into the equation set expressing the relationship between the sampling value of the electrochemical sensor and the concentrations of multiple gases, determines the concentrations of multiple gases, can eliminate the interference of other gases on the electrochemical sensor, and the output gas concentration data is accurate and reliable.

[0122] It should be understood that the magnitudes of the sequence numbers of the steps in the above - mentioned embodiments do not mean 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 embodiments of the present invention.

[0123] The following is the device embodiment of the present invention. For the details not described in detail therein, reference can be made to the corresponding method embodiment above.

[0124] Figure 3 is the functional block diagram of the insulating gas self - adaptive detection device provided by the embodiment of the present invention. Referring to Figure 3 , the insulating gas self - adaptive detection device includes: a gas data acquisition module 301, an equation set construction module 302, and a gas concentration determination module 303, where:

[0125] The gas data acquisition module 301 is used to acquire a plurality of gas collection arrays. Among them, each gas collection array corresponds to a sampling temperature, and the gas collection array includes a plurality of gas sampling values;

[0126] The equation set construction module 302 is used to substitute the plurality of gas collection arrays and the sampling temperatures corresponding to the plurality of gas collection arrays into the sensing sampling value equation set respectively to obtain a plurality of first equation sets. Among them, the sensing sampling value equation outputs the sensor sampling value according to the concentrations of multiple gases and the air temperature;

[0127] The gas concentration determination module 303 is used to solve the plurality of first equation sets to obtain a plurality of gas concentrations.

[0128] Figure 4 is the functional block diagram of the electronic device provided by the embodiment of the present invention. AsFigure 4 As 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 insulating gas adaptive detection methods and embodiments are implemented, for example Figure 2 the steps 201 to 203 shown in

[0129] 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.

[0130] 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, which do not constitute a limitation on the electronic device 4, 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, buses, etc.

[0131] 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.

[0132] The memory 401 may be an internal storage unit of the electronic device 4, such as a 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 and the external storage device of the electronic device 4. 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 the data that has been output or will be output.

[0133] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, 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 a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above 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 the present application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment and will not be elaborated herein.

[0134] In the above embodiments, the descriptions of the various 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.

[0135] 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 by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians 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.

[0136] 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 merely 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 between each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in electrical, mechanical or other forms.

[0137] 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 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.

[0138] In addition, in each embodiment of the present invention, the functional units 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 integrated units can be implemented in the form of hardware or in the form of software functional units.

[0139] 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 such an understanding, to implement all or part of the processes in the above embodiment methods of the present invention, it can also be completed by a computer program instructing relevant hardware. 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 various method and device 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.

[0140] The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; 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 on 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 within the protection scope of the present invention.

Claims

1. An insulating gas adaptive detection component, characterized in that: include: An air supply device, a heater, an air supply pipe, a first temperature sensor, a second temperature sensor, a processor, and a plurality of electrochemical sensors, wherein each electrochemical sensor corresponds to a gas; The outlet of the air blower is connected to the inlet of the air supply pipe, the heater is fixedly arranged at the outlet side of the air blower, and the measuring ends of the plurality of electrochemical sensors are fixed in a circumferential array inside the air supply pipe; The first temperature sensor and the second temperature sensor are respectively arranged at the inlet side of the air supply pipe and the outlet side of the air supply pipe; The processors are electrically connected to the multiple electrochemical sensors respectively; When a gas collection array is obtained under different temperature conditions, the processor determines the concentration of multiple gases in the mixed gas based on the multiple gas collection arrays and the temperature conditions corresponding to each gas collection array, wherein the gas collection array includes multiple gas sampling values, and each gas sampling value is obtained based on a corresponding electrochemical sensor.

2. An insulating gas adaptive detection method, characterized in that: Applied to the insulating gas adaptive detection component according to claim 1, the insulating gas adaptive detection method comprises: Acquire multiple gas collection arrays, wherein each gas collection array corresponds to a sampling temperature, and the gas collection array includes multiple gas sampling stable values, and the gas sampling stable values ​​represent sampling values ​​when the sensor outputs stably at a predetermined sampling temperature; Substituting the multiple gas collection arrays and the sampling temperatures corresponding to the multiple gas collection arrays into the sensor sampling value equation group, respectively, to obtain multiple first equation groups, wherein the sensor sampling value equation outputs sensor sampling values ​​according to multiple gas concentrations and air temperatures, and the sensor sampling value equation is constructed according to the sampling values ​​of the mixed gas of a predetermined proportion under multiple test temperature conditions; The plurality of first equation groups are solved to obtain a plurality of gas concentrations.

3. The insulating gas adaptive detection method according to claim 2, characterized in that: The step of obtaining a plurality of gas acquisition arrays comprises: For each gas collection array, the following steps are performed: Stabilize sampling temperature; Acquire a plurality of first sampling values ​​from a plurality of electrochemical sensors according to preset time nodes, and construct the plurality of first sampling values ​​into a plurality of sampling queues according to correspondence with the electrochemical sensors; Using the least square method and the plurality of sampling queues, fitting the sampling value variation equation to obtain a plurality of second equations, wherein each second equation characterizes a characteristic of a sampling value of an electrochemical sensor varying with time; determining sampled stable values ​​of a plurality of electrochemical sensors according to the plurality of second equations; The sampled stable values ​​of the plurality of electrochemical sensors are constructed into a gas acquisition array.

4. The insulating gas adaptive detection method according to claim 3, characterized in that: The sampling value variation equation is: Where GV(t) is the change of the sampling value over time, GCSV is the sampling stable value, e is a natural constant, t is a time variable, τ is a coefficient of change, and t0 is the initial time.

5. The insulating gas adaptive detection method according to any one of claims 2 to 4, characterized in that: The construction process of the sensor sampling value equation group includes: Obtain multiple groups of mixed gases; Each group of mixed gases is tested under multiple test temperature conditions, and multiple first test gas arrays are constructed according to the test results, wherein each first test gas array is constructed according to multiple sampling values ​​returned by the insulating gas adaptive detection device under the test temperature, the test temperature, and the concentrations of multiple gases in the mixed gas; Selecting a plurality of reference arrays from the plurality of first test gas arrays, searching and deleting a noise first test gas array from the plurality of first test gas arrays by calculating a similarity index with the plurality of reference arrays, and using the remaining plurality of first test gas arrays as second test gas arrays; The total number of coefficients in the equation for adjusting the sensor sampling value does not exceed the total number of the plurality of second test gas arrays; The values ​​of coefficients in the sensor sampling value equation are determined according to the plurality of second test gas arrays.

6. The insulating gas adaptive detection method according to claim 5, characterized in that: The sensor sampling value equation is: In the formula, SGV(n) is the concentration of the nth gas, T is the sampling temperature, T0 is the reference temperature value, α mn is the m·nth first coefficient, M is the total number of exponents, N is the number of gas species in the mixed gas, β i is the i-th second coefficient, TGV(i) is the sampling value concentration of the i-th gas, c1 is the first intercept coefficient, and c2 is the second intercept coefficient.

7. The insulating gas adaptive detection method according to claim 5, characterized in that: The method of selecting a plurality of reference arrays from the plurality of first test gas arrays, searching and deleting the noise first test gas array by calculating similarity indexes with the plurality of reference arrays, and using the remaining plurality of first test gas arrays as the second test gas array includes: Get the number of iterations; Randomly selecting a first number of first test gas arrays from the plurality of first test gas arrays as a plurality of first reference arrays; For each first test gas array, calculate a similarity coefficient with each first reference array, and calculate an average value of the plurality of similarity coefficients as a first similarity index; If the number of iterations is not reached, then selecting a plurality of first test gas arrays with the largest first similarity indexes from the plurality of first test gas arrays according to the first number as a plurality of first reference arrays, and jumping to the step of calculating, for each first test gas array, a similarity coefficient with each first reference array, and calculating an average value of the plurality of similarity coefficients as the first similarity index; Otherwise, the first test gas array corresponding to the first similarity index less than the index threshold is deleted, and the first test gas array corresponding to the first similarity index not less than the index threshold is used as the second test gas array.

8. An insulating gas adaptive detection device, characterized in that: Used to implement the insulating gas adaptive detection method according to any one of claims 2 to 7, the insulating gas adaptive detection device comprises: A gas data acquisition module, used to acquire multiple gas acquisition arrays, wherein each gas acquisition array corresponds to a sampling temperature, and the gas acquisition array includes multiple gas sampling values; An equation group construction module, used for respectively substituting the plurality of gas acquisition arrays and the sampling temperatures corresponding to the plurality of gas acquisition arrays into the sensor sampling value equation group to obtain a plurality of first equation groups, wherein the sensor sampling value equation outputs sensor sampling values ​​according to the plurality of gas concentrations and air temperatures; as well as, The gas concentration determination module is used to solve the multiple first equation groups to obtain multiple gas concentrations.

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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