An on-line gas flow calibration system

Abstract

The present invention relates to the technical field of automatic measurement of flow rate and liquid level, and discloses an on-line calibration system for gas flow rate. The system includes: a component extraction module, which is used to obtain real-time sensor data, perform spectral component analysis on the sensor data to obtain component data, and calculate characteristic data of the component data; a preliminary compensation module, which is used to obtain environmental data and mass flowmeter data, and perform environmental compensation on the mass flowmeter data by using the environmental data to obtain a preliminarily calibrated flow rate; a relationship construction module, which is used to construct a gas component association relationship according to the characteristic data and the preliminarily calibrated flow rate; a compensation and calibration module, which is used to perform adaptive compensation on the preliminarily calibrated flow rate by using the gas component association relationship and the characteristic data to obtain calibrated data. The present invention can solve the problem of low calibration accuracy still existing in the existing on-line calibration system for gas flow rate.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic measurement of flow and liquid level, and particularly to an on-line calibration system for gas flow. Background Art

[0002] Gas flow measurement is an important part of industrial production and is widely used in industries such as petroleum, natural gas, chemistry, environmental protection, and electric power. In these industries, accurate gas flow measurement is crucial for optimizing the production process, controlling emissions, and ensuring equipment safety. Traditional gas flow meters need to be calibrated regularly to ensure their measurement accuracy. However, with the development of industrial automation, the requirements for gas flow measurement are getting higher and higher. Especially in large-scale production and diverse gas components, the traditional manual calibration method is inefficient and inaccurate. Therefore, an on-line calibration system for gas flow has emerged, aiming to ensure its long-term stable operation by real-time monitoring and adjusting the accuracy of the flow meter.

[0003] Most of the current on-line calibration systems rely on existing standard calibration data and assumed gas components. However, since gas components may change under different working conditions (such as water vapor content, methane concentration, etc.), these changes cannot be accurately captured and compensated in real time, thus affecting the calibration accuracy. Therefore, the current on-line calibration system for gas flow still has the problem of low calibration accuracy. Summary of the Invention

[0004] The present invention provides an on-line calibration system for gas flow, and its main purpose is to solve the problem of low calibration accuracy of the existing on-line calibration system for gas flow.

[0005] To achieve the above object, an on-line calibration system for gas flow provided by the present invention includes: a component extraction module, a preliminary compensation module, a relationship construction module, and a compensation calibration module. Specifically:

[0006] The component extraction module is used to obtain real-time sensor data, perform spectral component analysis on the sensor data to obtain component data, and calculate characteristic data of the component data.

[0007] The preliminary compensation module is used to obtain environmental data and mass flow meter data, and perform environmental compensation on the mass flow meter data using the environmental data to obtain a preliminary calibrated flow rate.

[0008] The relationship construction module is used to construct a gas component association relationship based on the characteristic data and the preliminary calibrated flow rate.

[0009] The compensation calibration module is used to perform adaptive compensation on the preliminary calibrated flow rate using the gas component association relationship and the characteristic data to obtain calibration data.

[0010] Optionally, when the component extraction module performs the function of performing spectral component analysis on the sensor data to obtain component data, it specifically is used for:

[0011] Perform signal conversion on the sensor data to generate an absorption spectrum;

[0012] Perform absorption peak fitting on the absorption spectrum to obtain spectral parameters;

[0013] Compare the absorbance values of the spectral parameters with preset standard component data to obtain the molar extinction coefficient;

[0014] Perform unmixing analysis on the absorption spectrum using the molar extinction coefficient to obtain component data.

[0015] Optionally, when the component extraction module performs the function of performing absorption peak fitting on the absorption spectrum to obtain spectral parameters, it specifically is used for:

[0016] Determine the spectral region of the absorption peak according to the absorption spectrum;

[0017] Perform a preliminary estimate on the spectral region to obtain the peak position, amplitude, and full width at half maximum;

[0018] Construct a Gaussian function based on the peak position, the amplitude, and the full width at half maximum. The Gaussian function is:

[0019]

[0020] where is the Gaussian function describing the shape of the absorption peak, indicating the relationship between the absorbance and the wavelength in the absorption spectrum, is the amplitude, is the peak position, is the full width at half maximum;

[0021] Perform parameter optimization on the Gaussian function using the least squares method to obtain spectral parameters.

[0022] Optionally, when the component extraction module performs the function of performing unmixing analysis on the absorption spectrum using the molar extinction coefficient to obtain component data, it specifically is used for:

[0023] Perform absorbance signal separation on the absorption spectrum to obtain a gas absorbance signal;

[0024] Calculate the gas concentration according to the molar extinction coefficient and the gas absorbance signal. The gas concentration is calculated using the following formula:

[0025]

[0026] Among them, is the gas absorbance signal at a specific wavelength, is the molar absorptivity, is the gas concentration, is the preset fixed optical path length;

[0027] Construct a data dictionary for the gas absorbance signal, the gas concentration, and the molar absorptivity to obtain component data.

[0028] Optionally, when the component extraction module executes the function of calculating the characteristic data of the component data, it is specifically used for:

[0029] Calculate the average molecular weight of the component data;

[0030] Calculate the gas density of the component data according to the average molecular weight;

[0031] Calculate the gas viscosity of the component data;

[0032] Calculate the gas thermal conductivity of the component data;

[0033] Combine the gas density, the gas viscosity, and the gas thermal conductivity for data combination to obtain characteristic data.

[0034] Optionally, when the preliminary compensation module executes the function of using the environmental data to perform environmental compensation on the mass flowmeter data to obtain the preliminarily calibrated flow rate, it is specifically used for:

[0035] Perform data calibration based on the environmental data and the preset standard environment to obtain compensation factor data;

[0036] Perform data correction on the preliminarily calibrated flow rate according to the compensation factor data to obtain the preliminarily calibrated flow rate.

[0037] Optionally, when the preliminary compensation module executes the function of performing data calibration based on the environmental data and the preset standard environment to obtain compensation factor data, it is specifically used for:

[0038] Calculate the ratio between each environmental variable in the environmental data and the preset standard environment one by one to obtain a compensation factor data set;

[0039] Combine the compensation factor data set and the environmental variables into key-value pairs to obtain compensation factor data.

[0040] Optionally, when the relationship construction module executes the function of constructing a gas component association relationship based on the characteristic data and the preliminarily calibrated flow rate, it is specifically used for:

[0041] Calculate the actual flow rate based on the preset hydrodynamic equation according to the characteristic data, where the hydrodynamic equation is:

[0042]

[0043] where is the gas density in the characteristic data, is the actual flow rate, is the gas viscosity in the characteristic data, is the externally applied force calculated in advance;

[0044] Perform component correlation based on the actual flow rate, the preliminary calibration flow rate, and the hydrodynamic equation to obtain a gas component correlation relationship.

[0045] Optionally, when the relationship construction module executes the function of performing component correlation based on the actual flow rate, the preliminary calibration flow rate, and the hydrodynamic equation to obtain a gas component correlation relationship, it is specifically used for:

[0046] Compare the actual flow rate of the hydrodynamic equation with the preliminary calibration flow rate to obtain comparison data;

[0047] Perform flow rate correlation based on the comparison data and the component data to obtain a gas component correlation relationship.

[0048] Optionally, when the compensation calibration module executes the function of adaptively compensating the preliminary calibration flow rate by using the gas component correlation relationship and the characteristic data to obtain calibration data, it is specifically used for:

[0049] Calculate a compensation coefficient related to the component data according to the gas component correlation relationship and the characteristic data;

[0050] Adjust the flowmeter reading based on the calculated proportional adjustment compensation coefficient to obtain the final calibration data.

[0051] Through real-time sensor data and spectral analysis, the present invention can accurately obtain component data. Spectral analysis can provide high-precision component quantification, not only limited to common gas components, but also capable of analyzing various gas mixtures to ensure data reliability; environmental factors (such as temperature, humidity, air pressure, etc.) will affect the measurement results of the flowmeter. Through environmental data compensation, these environmental changes can be eliminated to interfere with the flowmeter reading and improve the accuracy of flow measurement. Therefore, a gas flow online calibration system proposed by the present invention can solve the problem of low calibration accuracy of the existing gas flow online calibration system. Description of the Drawings

[0052] Figure 1 Functional module diagram of an on - line gas flow calibration system provided by an embodiment of the present invention;

[0053] Figure 2 Schematic flow chart of spectral component analysis provided by an embodiment of the present invention;

[0054] Figure 3 Schematic flow chart of unmixing analysis provided by an embodiment of the present invention;

[0055] Figure 4 Schematic flow chart of an on - line gas flow calibration method provided by an embodiment of the present invention.

[0056] The realization, functional features and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0057] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] Refer to Figure 1 As shown, it is a functional module diagram of an on - line gas flow calibration system provided by an embodiment of the present invention. In this embodiment, the on - line gas flow calibration system 100 can be installed in an electronic device. According to the functions achieved, the on - line gas flow calibration system 100 can include a component extraction module 101, a preliminary compensation module 102, a relationship construction module 103, and a compensation calibration module 104. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0059] In an embodiment of the present invention, the component extraction module 101 includes obtaining real - time sensor data, performing spectral component analysis on the sensor data to obtain component data, and calculating characteristic data of the component data;

[0060] In an embodiment of the present invention, the preliminary compensation module 102 includes obtaining environmental data and mass flowmeter data, and performing environmental compensation on the mass flowmeter data using the environmental data to obtain a preliminary calibrated flow rate;

[0061] In an embodiment of the present invention, the relationship construction module 103 includes constructing a gas component association relationship according to the characteristic data and the preliminary calibrated flow rate;

[0062] In an embodiment of the present invention, the compensation calibration module 104 includes performing adaptive compensation on the preliminary calibrated flow rate using the gas component association relationship and the characteristic data to obtain calibrated data.

[0063] Specifically, in the embodiments of the present invention, each module in the online gas flow calibration system 100 adopts the same technical means as those described in the accompanying drawings for the online gas flow calibration system, and can achieve the same technical effects, which will not be elaborated here.

[0064] The following will describe each component and the specific working process of the online gas flow calibration system with reference to specific embodiments:

[0065] The component extraction module 101 is configured to obtain real-time sensor data, perform spectral component analysis on the sensor data to obtain component data, and calculate characteristic data of the component data.

[0066] In the embodiments of the present invention, the sensor data is information data about specific gas components obtained through TDLAS technology. TDLAS is the abbreviation of Tunable Diode Laser Absorption Spectroscopy, which is a high-precision and high-sensitivity optical sensing technology.

[0067] In the embodiments of the present invention, obtaining component data in real time helps to respond promptly to the dynamic changes of gas components. At the same time, calculating the relevant physical properties of the gas (such as density, viscosity, etc.) provides accurate input data for the subsequent calculation of the hydrodynamic equation.

[0068] Refer to Figure 2 As shown in the figure, in the embodiments of the present invention, when the component extraction module performs the function of performing spectral component analysis on the sensor data to obtain component data, it specifically includes:

[0069] S21. Convert the sensor data to generate an absorption spectrum;

[0070] S22. Fit the absorption peaks of the absorption spectrum to obtain spectral parameters;

[0071] S23. Compare the spectral parameters with preset standard component data to obtain the molar absorption coefficient;

[0072] S24. Perform unmixing analysis on the absorption spectrum using the molar absorption coefficient to obtain component data.

[0073] In the embodiments of the present invention, by analyzing the signal received by the photodetector, an absorption spectrum is generated. That is, the abscissa in the figure is the wavelength, and the ordinate is the absorbance (or transmittance). Each gas has characteristic absorption peaks at specific wavelengths, so there will be multiple absorption peaks in the absorption spectrum.

[0074] In the embodiments of the present invention, when the component extraction module executes the function of performing absorption peak fitting on the absorption spectrum to obtain spectral parameters, it specifically is used for:

[0075] Determine the spectral region of the absorption peak according to the absorption spectrum;

[0076] Perform a preliminary estimation on the spectral region to obtain the peak position, amplitude, and half-width;

[0077] Construct a Gaussian function according to the peak position, the amplitude, and the half-width;

[0078] Perform parameter optimization on the Gaussian function using the least squares method to obtain spectral parameters.

[0079] Specifically, in the absorption spectrum, the absorbance of the gas changes with the wavelength of light. Usually, there is one or more absorption peaks in a specific wavelength range. To further analyze and fit the spectrum, it is necessary to first determine the spectral region of these absorption peaks, that is, the wavelength range where these peaks are located. By looking for the protruding parts of the spectrum in the absorption spectrum, these parts represent the absorption of light with a specific wavelength by the gas. According to the known gas absorption characteristics, or through experimental data, determine the wavelength region where the absorption peak is located (for example, the wavenumber range is from , and the wavelength range is from 2.5 μm to 3.33 μm).

[0080] Specifically, the position of the absorption peak refers to the wavelength or frequency position with the strongest absorption in the spectrogram. It usually corresponds to the maximum absorption of light by gas molecules; the amplitude of the absorption peak represents the intensity of the absorbance, that is, the degree of absorption of light with a specific wavelength by the gas. The larger the amplitude, the higher the gas concentration, or the stronger the absorption of light of this wavelength by the gas; the amplitude of the absorption peak represents the intensity of the absorbance, that is, the degree of absorption of light with a specific wavelength by the gas. The larger the amplitude, the higher the gas concentration, or the stronger the absorption of light of this wavelength by the gas.

[0081] Specifically, according to the absorption spectrum, estimate the peak position of each absorption peak, that is, the wavelength with the strongest absorption; measure or calculate the amplitude of each absorption peak, that is, the maximum absorbance of this peak. Estimate the half-width of the absorption peak by observing the wavelength range when the absorbance drops to half of the maximum value.

[0082] Specifically, the Gaussian function is:

[0083]

[0084] Wherein, is the Gaussian function describing the shape of the absorption peak, indicating the relationship between the absorbance and the wavelength in the absorption spectrum, is the amplitude, is the peak position, is half-width.

[0085] Referring to Figure 3 As shown, in the embodiment of the present invention, when the component extraction module executes the function of performing unmixing analysis on the absorption spectrum using the molar extinction coefficient to obtain component data, it is specifically used for:

[0086] S31. Separate the absorbance signal from the absorption spectrum to obtain the gas absorbance signal;

[0087] S32. Calculate the gas concentration according to the molar extinction coefficient and the gas absorbance signal;

[0088] S33. Construct a data dictionary with the gas absorbance signal, the gas concentration, and the molar extinction coefficient to obtain component data.

[0089] Specifically, the separation of the absorbance signal refers to extracting the absorbance signal of different gases at a specific wavelength from the absorption spectrum. The absorption characteristics of different gases in the spectrum are different. By separating the absorbance signal, the absorbance information of each gas can be extracted to obtain the absorbance signal of each gas at different wavelengths. These signals are caused by the absorption of light of a specific wavelength by gas molecules. The absorption signals of each gas are different, and the gas concentration can be further analyzed through these signals.

[0090] Specifically, the gas concentration is calculated using the following formula:

[0091] Where is the gas absorbance signal at a specific wavelength, is the molar extinction coefficient, is the gas concentration, is the preset fixed optical path length.

[0092] Specifically, a data dictionary is a data structure that stores all important information related to each gas component. The data dictionary organizes all relevant component data together, facilitating searching, updating, and processing.

[0093] In the embodiment of the present invention, the characteristic data generally refers to the physical characteristics of gas components, such as density, viscosity, thermal conductivity, etc. These characteristics directly affect the flow of gas and the calibration accuracy of the flowmeter. The characteristic data is calculated using the gas component concentration data and known physical and chemical relationships. The density can be calculated through the ideal gas equation or the real gas equation, and the gas viscosity is calculated using the Sutherland formula.

[0094] In an embodiment of the present invention, when the component extraction module executes the function of calculating the characteristic data of the component data, it is specifically configured to:

[0095] Calculate the average molecular weight of the component data;

[0096] Calculate the gas density of the component data according to the average molecular weight;

[0097] Calculate the gas viscosity of the component data;

[0098] Calculate the gas thermal conductivity of the component data;

[0099] Combine the gas density, the gas viscosity, and the gas thermal conductivity for data combination to obtain characteristic data.

[0100] In an embodiment of the present invention, the average molecular weight of a gas is calculated based on the molecular weights of the respective components and the corresponding mole fractions.

[0101] In an embodiment of the present invention, the gas viscosity can be calculated using the following formula:

[0102] Wherein, is the gas viscosity, is the viscosity at a preset reference temperature, is the temperature at the time of collecting the component data, is the preset reference temperature, is a fixed constant.

[0103] In an embodiment of the present invention, the thermal conductivity can be calculated by an empirical formula or a weighted average method.

[0104] In an embodiment of the present invention, by continuously monitoring the gas components, the component extraction module can provide dynamic data feedback to help the system make timely responses according to the changes in gas components, ensuring accurate measurement by the flowmeter.

[0105] The preliminary compensation module 102 is configured to obtain environmental data and mass flowmeter data, and perform environmental compensation on the mass flowmeter data using the environmental data to obtain a preliminarily calibrated flow rate.

[0106] In an embodiment of the present invention, the environmental data refers to data such as temperature, humidity, and pressure, and the mass flowmeter (such as a thermal mass flowmeter, a Coriolis mass flowmeter, etc.) measures the gas flow rate in real time. These flowmeters usually rely on the density and flow velocity of the gas for flow rate measurement.

[0107] In an embodiment of the present invention, by combining environmental data (especially the compensation of temperature and humidity), the output of the flowmeter can be made more consistent with the actual gas flow rate, avoiding the influence of external changes such as temperature and humidity on the measurement results.

[0108] In an embodiment of the present invention, when the preliminary compensation module executes the function of performing environmental compensation on the mass flowmeter data using the environmental data to obtain the preliminarily calibrated flow rate, it specifically is used for:

[0109] Performing data calibration based on the environmental data and a preset standard environment to obtain compensation factor data;

[0110] Performing data correction on the preliminarily calibrated flow rate according to the compensation factor data to obtain the preliminarily calibrated flow rate.

[0111] In an embodiment of the present invention, when the preliminary compensation module executes the function of performing data calibration based on the environmental data and a preset standard environment to obtain compensation factor data, it specifically is used for:

[0112] Calculating the ratio between each environmental variable in the environmental data and the preset standard environment one by one to obtain a compensation factor data set;

[0113] Combining key-value pairs of the compensation factor data set and the environmental variables to obtain compensation factor data.

[0114] Specifically, the environmental data includes physical variables such as temperature, humidity, and atmospheric pressure, and these variables will directly affect the measurement results of the flowmeter. For example, changes in temperature and humidity may cause changes in gas density, thereby affecting the accuracy of the flowmeter. First, calculate the ratio between the actual value of each environmental variable and the standard environment. Specifically, for each environmental variable (such as temperature, humidity, and air pressure), calculate their ratios. The standard environmental data is a preset standard value, such as 25°C, 101.325 kPa, etc.

[0115] Specifically, for each environmental variable (such as temperature, humidity, air pressure), calculate its ratio respectively to form a compensation factor data set. The compensation factor data set will contain the compensation factor data of each environmental variable, and these factors represent the relative difference between the current environment and the standard environment.

[0116] In an embodiment of the present invention, combining the compensation factor data of each environmental variable with the variable to form a compensation factor data structure. A common form is to use a dictionary (or hash table) to store this key-value pair structure, where the key is the name of the environmental variable and the value is the corresponding compensation factor data.

[0117] In an embodiment of the present invention, environmental conditions such as temperature and humidity changes may cause the expansion or compression of gas, affecting the reading of the flowmeter. The preliminary compensation module helps to take these environmental change factors into consideration and effectively reduces the errors caused by environmental fluctuations.

[0118] A relationship construction module 103, configured to construct a gas component association relationship according to the characteristic data and the preliminary calibrated flow rate.

[0119] In an embodiment of the present invention, through hydrodynamic equations and component data, it helps to establish a quantitative relationship between gas components (such as water vapor concentration, methane concentration, etc.) and the output of the flowmeter, so that the flowmeter can be adjusted in real time according to changes in gas components.

[0120] In an embodiment of the present invention, when the relationship construction module executes the function of constructing a gas component association relationship according to the characteristic data and the preliminary calibrated flow rate, it is specifically configured to:

[0121] Calculate the actual flow rate according to the characteristic data based on a preset hydrodynamic equation;

[0122] Perform component association according to the actual flow rate, the preliminary calibrated flow rate, and the hydrodynamic equation to obtain a gas component association relationship.

[0123] In an embodiment of the present invention, the hydrodynamic equation is:

[0124]

[0125] Wherein, is the gas density in the characteristic data, is the actual flow rate, is the gas viscosity in the characteristic data, is the externally calculated force in advance.

[0126] In an embodiment of the present invention, using the hydrodynamic equation, the flow characteristics of the gas are calculated according to the component data of the gas, including the density, viscosity, flow velocity, etc. of the gas. These characteristics will affect the way the gas flows and are closely related to the output data of the flowmeter. By solving the hydrodynamic equation, the actual flow rate of the gas (i.e., the flow rate calculated based on the hydrodynamic model) is obtained, which usually deviates from the preliminary flow rate data output by the flowmeter because the influence of components on the flow behavior is not considered during the measurement of the flowmeter.

[0127] In an embodiment of the present invention, according to the calculated actual flow rate and the result of the hydrodynamic equation, a mathematical relationship between the component data and the output of the flowmeter is established, which is achieved by methods such as regression analysis, data fitting, or numerical simulation. The association relationship is usually expressed as a formula or algorithm, and this algorithm can associate the components of the gas (such as water vapor concentration, methane concentration, etc.) with the measurement data of the flowmeter.

[0128] In the embodiments of the present invention, the relationship construction module precisely establishes the relationship between the gas composition and the measurement output of the flowmeter through the component data and the hydrodynamic equation. By establishing a clear relationship between the gas composition and the flow rate, the flowmeter can dynamically adjust its output according to the real-time changing gas composition, avoiding flow measurement deviation caused by composition fluctuations.

[0129] The compensation and calibration module 104 is configured to adaptively compensate the preliminary calibrated flow rate by using the gas composition correlation relationship and the characteristic data to obtain calibration data.

[0130] In the embodiments of the present invention, dynamic compensation is performed according to the real-time changing component data, environmental data, and the preliminary calibrated flow rate of the flowmeter. This means that when the gas composition or environmental conditions change, the flowmeter can self-adjust in real time to ensure the continuous accuracy of the measurement.

[0131] In the embodiments of the present invention, when the compensation and calibration module executes the function of adaptively compensating the preliminary calibrated flow rate by using the gas composition correlation relationship and the characteristic data to obtain calibration data, it is specifically configured to:

[0132] Calculate a compensation coefficient related to the component data according to the gas composition correlation relationship and the characteristic data;

[0133] Adjust the flowmeter reading based on the calculated proportional adjustment compensation coefficient to obtain the final calibration data.

[0134] In the embodiments of the present invention, based on the simulation results of the component data and the hydrodynamic equation, a compensation coefficient is calculated, and the coefficient reflects the influence of gas flow characteristics on the output of the flowmeter under different gas compositions.

[0135] In the embodiments of the present invention, the calculated compensation coefficient is used to adjust each flow measurement point to ensure that the output of the flowmeter is more accurate under the influence of various gas compositions. For the compensated flow data, the output of the flowmeter can obtain the final calibration. The calibration data not only includes simple adjustment of the compensation factor data, but also can include error correction of the flowmeter itself, sensitivity adjustment, etc., so that the flowmeter can accurately reflect the actual gas flow rate.

[0136] In the embodiments of the present invention, the compensation and calibration module dynamically compensates the preliminary calibrated flow rate according to the real-time component data and the correlation relationship provided by the relationship construction module. This adaptive compensation ensures that the flowmeter can cope with changes in different gas compositions and environmental conditions, always providing accurate flow data. Through adaptive calibration, the compensation and calibration module continuously optimizes the performance of the flowmeter to ensure its stable operation in various changing environments, thereby improving the long-term reliability of the system.

[0137] Such asFigure 4 As shown in the figure, it is a schematic flowchart of a gas flow online calibration method provided by an embodiment of the present invention. In the embodiment of the present invention, the gas flow online calibration method includes:

[0138] S401. Obtain real-time sensor data, perform spectral component analysis on the sensor data to obtain component data, and calculate characteristic data of the component data;

[0139] S402. Obtain environmental data and mass flowmeter data, and perform environmental compensation on the mass flowmeter data using the environmental data to obtain a preliminary calibrated flow rate;

[0140] S403. Construct a gas component correlation relationship based on the characteristic data and the preliminary calibrated flow rate;

[0141] S404. Perform adaptive compensation on the preliminary calibrated flow rate using the gas component correlation relationship and the characteristic data to obtain calibrated data.

[0142] Embodiments of the present application can acquire and process relevant data based on artificial intelligence technology.

[0143] Among them, artificial intelligence (AI) is a theory, method, technology, and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results.

[0144] In addition, obviously, the word "including" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in the system can also be implemented by one unit or system through software or hardware. Words such as first, second, etc. are used to represent names and do not represent any specific order.

[0145] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A gas flow online calibration system, characterized in that: The system includes: a component extraction module, a preliminary compensation module, a relationship construction module, and a compensation calibration module. Specifically: A component extraction module is used to obtain real-time sensor data, perform signal conversion on the sensor data, and generate an absorption spectrum; perform absorption peak fitting on the absorption spectrum to obtain spectral parameters; compare the absorbance values ​​of the spectral parameters with preset standard component data to obtain molar absorption coefficients; perform demixing analysis on the absorption spectrum using the molar absorption coefficient to obtain component data, and calculate characteristic data of the component data; a preliminary compensation module is used to obtain environmental data and mass flow meter data, perform environmental compensation on the mass flow meter data using the environmental data, and obtain a preliminary calibration flow; A relationship building module, used to build a gas component association relationship based on the characteristic data and the preliminary calibration flow; The compensation calibration module is used to adaptively compensate the preliminary calibration flow rate by using the gas component correlation and the characteristic data to obtain calibration data.

2. A gas flow online calibration system as claimed in claim 1, characterized in that: When the component extraction module performs the function of fitting the absorption peak of the absorption spectrum to obtain the spectrum parameters, it is specifically used to: Determine the spectral region of the absorption peak according to the absorption spectrum; Preliminarily estimating the spectral region to obtain the peak position, amplitude and half width; A Gaussian function is constructed according to the peak position, the amplitude and the half width, and the Gaussian function is: in, is a Gaussian function that describes the shape of the absorption peak, indicating that the absorbance in the absorption spectrum varies with wavelength. The changing relationship, is the amplitude, is the peak position, is the half width; The Gaussian function is optimized using the least square method to obtain spectral parameters.

3. A gas flow online calibration system as claimed in claim 1, characterized in that: When the component extraction module performs the function of performing unmixing analysis on the absorption spectrum using the molar absorption coefficient to obtain component data, it is specifically used to: Performing absorbance signal separation on the absorption spectrum to obtain a gas absorbance signal; The gas concentration is calculated according to the molar absorption coefficient and the gas absorbance signal, and the gas concentration is calculated using the following formula: in, is the gas absorbance signal at a specific wavelength, is the molar absorption coefficient, is the gas concentration, The optical path length is preset and fixed; The gas absorbance signal, the gas concentration and the molar absorption coefficient are used to construct a data dictionary to obtain component data.

4. A gas flow online calibration system as claimed in claim 1, characterized in that: When the component extraction module performs the function of calculating the characteristic data of the component data, it is specifically used to: Calculate the average molecular weight of the component data; Calculating the gas density of the composition data according to the average molecular weight; Calculate the gas viscosity of the composition data; Calculate the gas thermal conductivity of the composition data; The gas density, the gas viscosity, and the gas thermal conductivity are combined to obtain characteristic data.

5. A gas flow online calibration system as claimed in claim 1, characterized in that: When the preliminary compensation module performs the function of using the environmental data to perform environmental compensation on the mass flow meter data to obtain a preliminary calibration flow, it is specifically used to: Calculating the ratio between each environmental variable in the environmental data and a preset standard environment one by one to obtain a compensation factor data set; Combining the compensation factor data set with the environmental variables into key-value pairs to obtain compensation factor data; The preliminary calibration flow is corrected according to the compensation factor data to obtain a preliminary calibration flow.

6. A gas flow online calibration system as claimed in claim 1, characterized in that: When executing the function of building a gas component association relationship according to the characteristic data and the preliminary calibration flow rate, the relationship building module is specifically used to: The actual flow rate is calculated according to the characteristic data based on a preset fluid dynamics equation, wherein the fluid dynamics equation is: in, is the gas density in the characteristic data, is the actual flow rate, is the gas viscosity in the characteristic data, is the pre-calculated external force; Component correlation is performed according to the actual flow rate, the preliminary calibration flow rate and the fluid dynamics equation to obtain a gas component correlation relationship.

7. A gas flow online calibration system as claimed in claim 6, characterized in that: When the relationship building module performs the function of associating components according to the actual flow rate, the preliminary calibration flow rate and the fluid dynamics equation to obtain the gas component association relationship, it is specifically used to: Comparing the actual flow rate of the fluid dynamics equation with the preliminary calibration flow rate to obtain comparison data; The gas component correlation relationship is obtained by performing flow correlation on the comparison data and the component data.

8. A gas flow online calibration system as claimed in claim 1, characterized in that: When the compensation calibration module performs the function of adaptively compensating the preliminary calibration flow rate by using the gas component association relationship and the characteristic data to obtain calibration data, it is specifically used to: Calculating a compensation coefficient related to the composition data according to the gas composition correlation and characteristic data; Based on the calculated proportional adjustment compensation factor, the flow meter reading is adjusted to obtain the final calibration data.

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