Performance evaluation method and system for natural gas chromatograph

Abstract

The invention relates to the technical field of equipment performance detection and evaluation, and provides a method and a system for evaluating the performance of a natural gas chromatograph, which are used for carrying out simulation evaluation on the actual running state of the gas chromatograph by analyzing historical data, expanding a concentration range calculation method and adopting a Monte-Carlo method. Through comprehensive comparison and evaluation of a single-point correction function and a performance evaluation function, the detection deviation conditions of the instrument under different conditions can be scientifically and reasonably given, and a more accurate evaluation conclusion is provided for an equipment management party; moreover, the performance of the single-point correction function used in daily operation of the instrument can be evaluated, the defects in the prior art are overcome, and the detection precision and reliability of the instrument are ensured.

Description

Technical Field

[0001] The present disclosure relates to the technical field related to equipment performance detection and evaluation, and in particular, to a performance evaluation method and system for a natural gas chromatograph. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] As a key equipment for natural gas component analysis, natural gas chromatograph plays an important role in the production, transportation and use of natural gas. 2 ), methane (C 1 ), ethane (C 2 ), propane (C 3 ) and other components, gas chromatograph can provide important basis for natural gas combustion performance evaluation and economic value judgment. In order to ensure the accuracy and stability of natural gas chromatograph, the performance of gas chromatograph must be evaluated regularly.

[0004] Existing performance evaluation methods for natural gas chromatographs usually rely on standard performance evaluation procedures, and mainly use single-point correction functions to process sample data. Specifically, the instrument is calibrated using a pre-set standard gas, and the calibrated data is used to analyze the component content of subsequent samples. The application of this single-point correction function is relatively simple. After calibration at a certain concentration point, it is assumed that the analysis of other concentration ranges also depends on the single-point calibration results. However, in actual applications, the content of natural gas components varies greatly, and the single-point correction method may produce large errors when processing components of different concentrations.

[0005] In addition, the existing performance evaluation methods are usually based on specific standard gas samples, and the instrument is tested according to a predetermined procedure to evaluate the deviation of the instrument. Usually, these evaluation methods evaluate a certain performance evaluation function of the instrument, which can give the detection deviation of the function under specific conditions, but cannot scientifically evaluate the accuracy of the single-point correction function used in the actual operation of the instrument. Therefore, the existing technology has the following obvious deficiencies:

[0006] 1) Limitations of the single-point calibration method: Most gas chromatographs operating on site rely on a single-point calibration function for data analysis and processing. Although this method is simple, it cannot guarantee the consistency of detection accuracy when dealing with component contents in different concentration ranges, especially when the content of the component differs greatly from the calibration point, the error increases significantly.

[0007] 2) Limited evaluation scope: Existing performance evaluation methods cannot conduct targeted evaluation of single-point correction functions. They usually only conduct performance tests based on standard gases, and the conclusions drawn cannot reflect the performance of the instrument under actual operating conditions. This makes it difficult for equipment managers to accurately judge whether the current operating status of the instrument meets expectations, which in turn affects the use effect of the instrument. Summary of the invention

[0008] In order to solve the above problems, the present invention proposes a performance evaluation method and system for a natural gas chromatograph, which analyzes historical data, expands the concentration range calculation method, and uses the Monte Carlo method to simulate and evaluate the actual operating status of the gas chromatograph to ensure the detection accuracy and reliability of the instrument's performance.

[0009] In order to achieve the above objectives, the present disclosure adopts the following technical solutions:

[0010] One or more embodiments provide a method for evaluating the performance of a natural gas chromatograph, comprising the following steps:

[0011] For the gas chromatograph to be evaluated, the component concentration range of the measured gas is expanded as the standard gas concentration range based on historical detection data, and gas concentration points are selected to obtain the standard gas for performance evaluation;

[0012] The standard gas is analyzed by the gas chromatograph to be evaluated, and the multi-order response function of each component that can be detected by the natural gas chromatograph is calculated;

[0013] Monte Carlo method is used to assume multiple groups of sample data, and different methods are used to calculate the calorific value parameters of the samples. The performance evaluation value is obtained by calculating the obtained response function, and the current function value is obtained by the single-point correction function. The calorific value parameters are calculated based on the real components of the samples to obtain the real value.

[0014] The performance evaluation value and the current function value are compared with the true value respectively to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

[0015] One or more embodiments provide a performance evaluation system for a natural gas chromatograph, comprising:

[0016] Gas component determination module: configured to expand the component concentration range of the measured gas as the standard gas concentration range based on the historical detection data for the gas chromatograph to be evaluated, and select gas concentration points to obtain the standard gas for performance evaluation;

[0017] A response function building module: configured to analyze the standard gas using the gas chromatograph to be evaluated, and calculate the multi-order response function of each component that can be detected by the natural gas chromatograph;

[0018] Calculation module: configured to use the Monte-Carlo method to assume multiple groups of sample data, calculate the calorific value physical property parameters of the samples using different methods, obtain the performance evaluation value through the obtained response function calculation, obtain the current function value through the single-point correction function, and calculate the calorific value physical property parameters based on the real components of the samples to obtain the real value;

[0019] Comparison module: configured to compare the performance evaluation value and the current function value with the true value respectively, so as to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

[0020] An electronic device comprises a memory and a processor and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps in the above-mentioned performance evaluation method of a natural gas chromatograph are completed.

[0021] A computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the steps in the above-mentioned performance evaluation method of a natural gas chromatograph are completed.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention expands the concentration range calculation method through the analysis of historical data, and adopts the Monte-Carlo method to simulate and evaluate the actual operating status of the gas chromatograph; through comprehensive comparison and evaluation of the single-point correction function and the performance evaluation function, the present invention can scientifically and reasonably give the detection deviation of the instrument under different conditions, and provide more accurate evaluation conclusions for the equipment management party; and it can perform performance evaluation on the single-point correction function used in the daily operation of the instrument, which makes up for the shortcomings of the existing technology and ensures the detection accuracy and reliability of the instrument.

[0024] The advantages of the present disclosure and the advantages of additional aspects will be described in detail in the following specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and the description thereof are used to explain the present disclosure but do not constitute a limitation of the present disclosure.

[0026] Figure 1 is a schematic flow chart of the evaluation method of Example 1 of the present disclosure; DETAILED DESCRIPTION

[0027] The present disclosure is further described below in conjunction with the accompanying drawings and embodiments.

[0028] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.

[0029] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof. It should be noted that, in the absence of conflict, the various embodiments in the present disclosure and the features in the embodiments can be combined with each other. The embodiments will be described in detail below in conjunction with the accompanying drawings.

[0030] Example 1

[0031] In the technical solutions disclosed in one or more embodiments, Figure 1 As shown, a performance evaluation method for a natural gas chromatograph comprises the following steps:

[0032] Step 1: For the gas chromatograph to be evaluated, the component concentration range of the measured gas is expanded to the standard gas concentration range based on historical detection data, and gas concentration points are selected to obtain the standard gas for performance evaluation;

[0033] Step 2: Analyze the standard gas using the gas chromatograph to be evaluated, and calculate the multi-order response function of each component that can be detected by the natural gas chromatograph, including a calibration function and an analysis function;

[0034] Step 3, using the Monte-Carlo method to assume multiple groups of sample data, using different methods to calculate the calorific value physical property parameters of the samples, obtaining the performance evaluation value through the obtained response function calculation, obtaining the current function value through the current single-point correction function, and calculating the calorific value physical property parameters based on the real components of the samples to obtain the real value;

[0035] Step 4: Compare the performance evaluation value and the current function value with the true value respectively to obtain the working performance evaluation result of the gas chromatograph to be evaluated;

[0036] This embodiment integrates the processes of concentration point selection, standard gas material analysis, response function calculation, Monte Carlo simulation, and result evaluation. The maximum and minimum concentration values ​​are appropriately expanded in the process of determining the concentration range of each component, which effectively improves the reliability and applicability of the evaluation results. The multi-order response function obtained by calculation can be more accurately fitted for the nonlinear characteristics of different concentration intervals, thereby greatly reducing the errors caused by linear assumptions. Using the deviation data provided by the Monte Carlo simulation results, the operating status of the instrument can be evaluated more scientifically and reasonably, and the deviation range that may occur in different high-volume calorific value intervals can be more intuitively displayed.

[0037] Step 1: For the gas chromatograph to be evaluated, the component concentration range of the measured gas is expanded to the standard gas concentration range based on historical detection data, and gas concentration points are selected to obtain the standard gas for performance evaluation;

[0038] Step 1.1, for the gas chromatograph to be evaluated, determine the standard gas concentration range for performance evaluation;

[0039] According to the instrument working environment, investigate the component concentration range of the instrument's historical test samples and determine the standard gas concentration range for instrument performance evaluation; set the instrument's working range, that is, the range of the content of each component of the sample tested by the instrument during daily work. Generally, the maximum and minimum values ​​of each component are obtained by statistically analyzing the data of the samples tested by the instrument in the past set time (such as one year), and the maximum and minimum values ​​are appropriately expanded to increase the reliability and applicability of the instrument evaluation results;

[0040] Optionally, the maximum and minimum values ​​of each component are appropriately expanded, specifically: the difference between the maximum and minimum values ​​is calculated, the difference is divided by n as the change, the maximum value plus the change is taken as the upper limit of the concentration, and the minimum value minus the change is taken as the lower limit of the concentration; wherein n is a set value, preferably, n=4;

[0041] Within the working range of the instrument, for natural gas chromatograph, component i generally includes N 2 , CO 2 , C 1 , C 2 , C 3 、iC 4 、nC 4 、iC 5 、nC 5 、neoC 5 , C 6 + In addition, there may be CO, He, H 2 Etc., depending on the representation method, the sum of the contents of each component is 100 or 1;

[0042] The formula for appropriately expanding the maximum and minimum values ​​of each component is as follows:

[0043] For component i, its concentration range is calculated by the following formula:

[0044] c il =c imin -(c imax -c imin ) / 4

[0045] c iu =c imax +(c imax -c imin ) / 4

[0046] If: c il <0, let c il =0.

[0047] Where: c il is the lower limit of the concentration of component i, c iu is the upper limit of the concentration of component i, c imin is the minimum value of component i in the instrument detection history data, c imax It is the maximum value of component i in the instrument detection historical data.

[0048] This extended method in step 1.1 effectively solves the problem that traditional evaluation is only calibrated for a fixed point, enhances the adaptability of the instrument when dealing with changes in the concentrations of different components, and further ensures the stability and reliability of the instrument during long-term use.

[0049] Step 1.2, determine the concentration point according to the response function order of the previous performance evaluation;

[0050] Specifically, the number of standard gas concentration points is determined based on the previous performance evaluation of the gas chromatograph to be evaluated. If the performance evaluation is carried out for the first time, 7 concentration points are required for each component. If the performance evaluation has been carried out before, the number of concentration points is determined based on the function order of the previous performance evaluation.

[0051] Select the number of concentration points of each component of the gas standard substance used for performance evaluation. The first performance evaluation should have 7 concentration points for each component. If the component response function of the previous performance evaluation is 1st order, the concentration point of this component can be set to 3. If the component response function of the previous performance evaluation is 2nd order, the concentration point of this component can be set to 5. If the component response function of the previous performance evaluation is 3rd order, the concentration point of this component should be set to 7.

[0052] Step 1.3: Place each concentration point at c il and c iu Distribute evenly between them to obtain working-grade standard gas substance.

[0053] In the above step 1 of this embodiment, by analyzing the historical data of the instrument in the past year, the concentration range of each component is determined, and the maximum and minimum values ​​are appropriately expanded, so as to ensure that the performance evaluation covers a wide range of actual working conditions and effectively improve the reliability and applicability of the evaluation results. The method of expanding the concentration range ensures that the evaluation covers possible extreme working conditions, which can not only better evaluate the performance of the instrument under normal working conditions, but also enhance the evaluation of the instrument's detection capabilities under abnormal conditions, thereby improving the stability and accuracy of the system. This method solves the limitation of traditional single-point calibration that only evaluates specific points, and ensures that the instrument can maintain a high measurement accuracy in different component concentration ranges.

[0054] Step 2: Analyze the standard gas substance with the gas chromatograph to be evaluated and calculate the response function. Specifically:

[0055] Step 21, analyzing the gas standard substance using the gas chromatograph to be evaluated, and obtaining peak area data of the measurement results for a set number of consecutive times that meet the repetition requirement;

[0056] Specifically, the gas standard substance is tested with the instrument to be evaluated. A bottle of standard gas is set for each concentration point. Each bottle of standard gas is tested to obtain six consecutive peak area data that meet the repeatability requirements specified in the standard.

[0057] Step 22, using the content of each component of the working gas standard substance and the corresponding peak area obtained by the instrument detection gas standard substance as input data, adopting the generalized least squares (GLS) regression calculation to obtain the response function of the instrument, including two groups of calibration functions and analysis functions, each group of functions includes the regression results of the first-order, second-order and third-order functions, and the fitting degree of each function;

[0058] Specifically, the calibration function is as follows:

[0059] y=a 3 x 3 +a 2 x 2 +a 1 x+a 0 (1)

[0060] Among them, x is the content of component i, and y is the peak area obtained by the instrument detecting the component;

[0061] Furthermore, according to the size of the fit, the order of the calibration function of the response function is determined, and according to the different values ​​of the fit, the calibration function finally applied is determined. If the fit of the first-order function is less than the set value of the fit, then a 3 and a 2is 0. If the first-order function's fit is greater than the set fit value, and the second-order function's fit is less than the set fit value, then a 3 If the first-order and second-order functions are both greater than the set value of the fitting degree, the cubic function is used as the calibration function of the component.

[0062] The degree of fit refers to the degree of match between the data model and the actual data. In this embodiment, the degree of fit setting value can be set to 2;

[0063] Specifically, the analysis function is as follows:

[0064] u=b 3 y 3 +b 2 y 2 +b 1 y+b 0 (2)

[0065] Where y is the peak area of ​​component i calculated by formula (1), and u is the component content given by the instrument measurement;

[0066] Furthermore, according to the size of the fit, the order of the analysis function of the response function is determined, and according to the different values ​​of the fit, the final application of the analysis function is determined. If the fit of the first-order function is less than 2, then a 3 and a 2 is 0. If the fit of the first-order function is greater than 2 and the fit of the second-order function is less than 2, then a 3 If the fitting degree of the first-order and second-order functions is greater than 2, the cubic function is used as the analysis function of the component.

[0067] In this embodiment, by repeatedly analyzing each component of the gas standard substance, obtaining detailed peak area data, and using the generalized least squares method (GLS) for regression calculation, the multi-order response function of the instrument (including first-order, second-order and third-order) can be effectively obtained. The multi-order response function obtained by calculation can be more accurately fitted for the nonlinear characteristics of different concentration ranges, thereby greatly reducing the error caused by the linear assumption. Compared with the traditional first-order or single-point correction method, the multi-order response model can better reflect the response characteristics of the instrument to complex natural gas components, especially at high or low concentrations, significantly improving the detection accuracy of the instrument.

[0068] Further, the response factor is calculated, the gas standard substances used in the daily analysis instrument are analyzed, and the peak area data of each component in the analysis results are recorded as the basis for calculating the correction factor of the current analysis function:

[0069] k=x / y (3)

[0070] Where k is the response factor of component i, x is the nominal component content in the calibration gas standard certificate, and y is the peak area of ​​each component obtained after the calibration gas is detected by the instrument.

[0071] During the operation of the gas chromatograph, one or more bottles of gas standard substances are usually available on site for daily calibration once every three days or once a day. The response factor is calculated using the gas standard substances.

[0072] Step 3, using the Monte-Carlo method to assume multiple groups of sample data, using different methods to calculate the calorific value physical property parameters of the samples, obtaining the performance evaluation value through the obtained response function calculation, obtaining the current function value through the current single-point correction function, and calculating the calorific value physical property parameters based on the real components of the samples to obtain the real value;

[0073] Step 31, using the Monte Carlo method to assume component content data of multiple groups of samples, based on the response function obtained in step 2, calculate the component content when the sample is detected by the gas chromatograph to be evaluated, and the calorific value physical property parameters of each sample as performance evaluation values;

[0074] In step 3 above, by using the Monte Carlo method to simulate the behavior of the instrument under different operating conditions, the detection performance of the instrument can be evaluated more comprehensively. The Monte Carlo method covers a variety of operating conditions and sample changes that the gas chromatograph may face through a large amount of random simulated sample data, making up for the defect that the existing performance evaluation method cannot fully predict the performance of the instrument. This simulation method can not only simulate the detection deviation of the instrument under different conditions, but also help identify potential system errors, thereby providing a more comprehensive reference for equipment maintenance and calibration. In addition, the use of the Monte Carlo method enhances the scientific nature of instrument evaluation and ensures that the final test results are closer to the actual situation, thereby improving the credibility and market competitiveness of the system.

[0075] In step 31, the concentration data of each group of hypothetical samples are substituted into the calibration function formula (1) of the instrument one by one, and the peak area data that will be obtained if the instrument detects the sample is calculated. Then, the peak area data is substituted into the analysis function of the instrument to obtain the concentration data, i.e., the component content, that will be given by the instrument when detecting the sample. Specifically, the steps include:

[0076] Step 311: Using the Monte Carlo method, within the instrument detection concentration range, assume component content data of 10,000 groups of samples.

[0077] Step 312: Substitute the sample component content data assumed in step 311 into the calibration function of formula (1) one by one to calculate the peak area data obtained when the gas chromatograph to be evaluated detects the sample.

[0078] Step 313: Substitute the peak area data obtained in step 312 into the analysis function of formula (2) to obtain the content data that will be obtained when the gas chromatograph to be evaluated detects the sample;

[0079] Step 314: using the physical property parameter calculation method to calculate the composition content data obtained in step 313, to obtain the calorific value physical property parameter as the performance evaluation value;

[0080] Specifically, the composition content data obtained in step 313 is substituted into the physical property parameter calculation method to obtain the response function (calibration function and analysis function) obtained if the instrument adopts performance evaluation regression calculation. The high volume calorific value data of its detection result is called the high volume calorific value "performance evaluation value".

[0081] Step 32, calculation step 311 assumes that the physical property parameters of the sample composition, including the high volume calorific value, are taken as the true value of the high volume calorific value without uncertainty.

[0082] Specifically, the sample composition data assumed by the Monte-Carlo method are substituted into the natural gas physical property parameter calculation method to obtain the natural gas high volume calorific value data without uncertainty as the true value, i.e., the basis for comparison;

[0083] The true value is the high volume calorific value obtained by substituting the generated hypothetical natural gas sample composition content into the physical property parameter calculation algorithm. Since the hypothetical value is the true content of the hypothetical natural gas sample, there is no uncertainty and it is the true value of the high volume calorific value of the hypothetical natural gas sample. The method of GB / T 11062 shown in the figure is the natural gas physical property parameter calculation algorithm specified in the national standard.

[0084] Step 33, based on the component content data of multiple groups of samples assumed by the Monte-Carlo method, the current single-point correction function is used to calculate the calorific value physical property parameters of each sample as the current function value;

[0085] Since most of the domestic natural gas chromatographs currently carry out analysis and detection work according to the single-point calibration method and do not have the function implantation / setting function, the performance evaluation function obtained after the above regression has no practical use. It is necessary to evaluate the working condition of the current single-point calibration function. The specific method is: substitute the peak area data obtained in step 312 into the analysis function of the current single-point calibration of the instrument to obtain the component concentration detection result that will be given under the current operating state of the instrument; in this way, it is possible to evaluate the existing instruments that do not adopt the response function at the same time; specifically, the following steps are included:

[0086] Step 331: Substitute the peak area data obtained in step 312 into the current single-point correction function to calculate the component content of the sample. The current single-point correction function is the function integrated in the existing natural gas chromatograph. The current single-point correction function is as follows:

[0087] y′=ky (4)

[0088] Where k is the response factor obtained for component i, x is the peak area calculated by the correction function of formula 1, and y′ is the component content calculated by the current single-point correction function;

[0089] Using the current single-point calibration analysis function, the component content data will be given.

[0090] Step 332: Substitute the component content data obtained in step 331 into the physical property parameter calculation method to obtain the high volume calorific value data obtained when the current single-point correction function is used, which is called the high volume calorific value "current function value".

[0091] Step 4: Compare the performance evaluation value and the current function value with the true value respectively to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

[0092] Step 41, compare the obtained high-volume calorific value "performance evaluation value" with the "true value" to obtain the first deviation between the instrument detection result and the true value when the instrument adopts the performance evaluation regression function, i.e., the response function;

[0093] Step 42, comparing the obtained high-level volumetric calorific value "current function value" with the "true value" to obtain a second deviation between the instrument detection result and the true value when the current single-point correction function is used;

[0094] Step 43, respectively plotting the first deviation result and the second deviation result for analysis, to obtain the deviation between the high volume calorific value and the true value of the instrument in different calorific value intervals, that is, the approximate range in which the high volume calorific value is lower or higher than the true value;

[0095] Step 44, perform statistical analysis based on the obtained deviations, calculate the average deviation, compare it with the corresponding standard regulations, obtain an evaluation conclusion on whether the gas chromatograph to be evaluated can work normally, and propose recommended measures to the equipment management party.

[0096] Specifically, compare the average deviations between the performance evaluation values ​​and the true values ​​of the high volumetric calorific value (more than 10,000 groups), compare the average deviations between the current function values ​​and the true values ​​of the high volumetric calorific value (more than 10,000 groups), give the working performance of the instrument when the performance evaluation function (calibration function and analysis function) is used to detect samples, and give the working performance of the instrument when the current single-point correction function is used to detect samples; based on the comparison, give an evaluation conclusion on whether the instrument can work normally and whether it meets the working requirements.

[0097] In this embodiment, by comparing the results of the performance evaluation function and the current single-point correction function with the true value, the detection deviation of the instrument under the current use state can be clearly evaluated. Using the deviation data provided by the Monte-Carlo simulation results, the operating state of the instrument can be evaluated more scientifically and reasonably, and the possible deviation range in different high-volume calorific value intervals can be clearly pointed out.

[0098] Based on the results of this analysis, more targeted suggestions can be provided to equipment managers, such as adjusting calibration procedures or performing necessary instrument maintenance, thereby significantly improving instrument utilization efficiency and reducing potential economic losses caused by instrument inaccuracy.

[0099] In this embodiment, first, the concentration range of each component of the instrument detection sample is obtained; the component content of the standard gas mixture is determined; the gas standard substance is detected by the instrument to be evaluated, and the peak area data of each group of standard gas mixture detection results are obtained; the calibration function and analysis function of each component that can be detected by the natural gas chromatograph are calculated by the generalized least squares (GLS) regression algorithm; the average deviation of the high volume calorific value of the instrument is evaluated by the Monte-Carlo method; the true value of the high volume calorific value of a large number of hypothetical samples, the high volume calorific value calculated by the calibration function and analysis function obtained by performance evaluation, and the high volume calorific value calculated by the current single-point correction function are calculated, and the average deviation between the latter two and the true value is compared to determine whether the single-point correction analysis method currently used by the instrument can give accurate results that meet the requirements, thereby giving an evaluation conclusion on whether the natural gas chromatograph can meet the requirements.

[0100] Example 2

[0101] Based on Example 1, this embodiment provides a performance evaluation system for a natural gas chromatograph, including:

[0102] Gas component determination module: configured to expand the component concentration range of the measured gas as the standard gas concentration range based on the historical detection data for the gas chromatograph to be evaluated, and select gas concentration points to obtain the standard gas for performance evaluation;

[0103] A response function building module: configured to analyze the standard gas using the gas chromatograph to be evaluated, and calculate the multi-order response function of each component that can be detected by the natural gas chromatograph;

[0104] Calculation module: configured to use the Monte-Carlo method to assume multiple groups of sample data, calculate the calorific value physical property parameters of the samples using different methods, obtain the performance evaluation value through the obtained response function calculation, obtain the current function value through the single-point correction function, and calculate the calorific value physical property parameters based on the real components of the samples to obtain the real value;

[0105] Comparison module: configured to compare the performance evaluation value and the current function value with the true value respectively, so as to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

[0106] It should be noted here that the various modules in this embodiment correspond one-to-one to the various steps in Example 1, and the specific implementation process is the same, which will not be repeated here.

[0107] Example 3

[0108] This embodiment provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are run by the processor, the steps in the performance evaluation method of a natural gas chromatograph in Embodiment 1 are completed.

[0109] Example 4

[0110] This embodiment provides a computer-readable storage medium for storing computer instructions. When the computer instructions are executed by a processor, the steps in the performance evaluation method of a natural gas chromatograph in Embodiment 1 are completed.

[0111] The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

[0112] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A method for evaluating the performance of a natural gas chromatograph, characterized in that: The steps include: For the gas chromatograph to be evaluated, the component concentration range of the measured gas is expanded as the standard gas concentration range based on historical detection data, and gas concentration points are selected to obtain the standard gas for performance evaluation; The standard gas is analyzed by the gas chromatograph to be evaluated, and the multi-order response function of each component that can be detected by the natural gas chromatograph is calculated; Monte Carlo method is used to assume multiple groups of sample data, and different methods are used to calculate the calorific value parameters of the samples. The performance evaluation value is obtained by calculating the obtained response function, and the current function value is obtained by the single-point correction function. The calorific value parameters are calculated based on the real components of the samples to obtain the real value. The performance evaluation value and the current function value are compared with the true value respectively to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

2. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: The component concentration range of the measured gas is expanded as the standard gas concentration range. The expansion method is as follows: calculate the difference between the maximum value and the minimum value, divide the difference by the set value as the change, add the maximum value plus the change as the upper concentration limit, and subtract the minimum value from the change as the lower concentration limit.

3. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: Select gas concentration points. Specifically: if the performance evaluation is carried out for the first time, directly set the concentration point of each component. If the performance evaluation has been carried out before, determine the number of concentration points based on the function order of the previous performance evaluation.

4. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: The standard gas substance is analyzed by the gas chromatograph to be evaluated, and the response function is calculated, including the following steps: Analyzing the gas standard substance using the gas chromatograph to be evaluated to obtain peak area data of the measurement results for a set number of consecutive times that meet the repetition requirement; Taking the content of each component of the working gas standard substance and the corresponding peak area obtained by the instrument detecting the gas standard substance as input data, the generalized least squares regression calculation is used to obtain the instrument response function, including the calibration function and the analysis function; Determine the order of the response function based on the degree of fit.

5. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: Monte Carlo method is used to assume multiple groups of samples, and the performance evaluation value is calculated by the obtained response function, including the following steps: Substitute the assumed sample component content data into the calibration function in the response function one by one, and calculate the peak area data obtained when the gas chromatograph to be evaluated detects the sample; Substituting the obtained peak area data into the analysis function in the response function, the content data that will be obtained when the gas chromatograph to be evaluated detects the sample is obtained; The obtained content data is used to calculate the physical property parameters to obtain the calorific value physical property parameters as the performance evaluation value.

6. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: The Monte Carlo method assumes component content data of multiple groups of samples, and uses the current single-point correction function to calculate the component content of the samples. Then, based on the obtained component content, the calorific value physical property parameters of each sample are calculated as the current function value.

7. The method for evaluating the performance of a natural gas chromatograph according to claim 1, characterized in that: Comparing the performance evaluation value and the current function value with the true value respectively includes the following steps: The obtained performance evaluation value of the high volume calorific value is compared with the true value to obtain the first deviation between the instrument detection result and the true value when the instrument adopts the performance evaluation regression function, i.e., the response function; Compare the current function value of the high-level volumetric heating value with the true value to obtain the second deviation between the instrument detection result and the true value when the current single-point correction function is used; The first deviation result and the second deviation result are plotted and analyzed respectively to obtain the deviation between the high volume calorific value and the true value of the instrument in different calorific value ranges; Perform statistical analysis based on the obtained deviations, calculate the average deviation, and obtain performance evaluation conclusions.

8. A performance evaluation system for a natural gas chromatograph, characterized in that: include: Gas component determination module: configured to expand the component concentration range of the measured gas as the standard gas concentration range based on the historical detection data for the gas chromatograph to be evaluated, and select gas concentration points to obtain the standard gas for performance evaluation; A response function building module: configured to analyze the standard gas using the gas chromatograph to be evaluated, and calculate the multi-order response function of each component that can be detected by the natural gas chromatograph; Calculation module: configured to use the Monte-Carlo method to assume multiple groups of sample data, calculate the calorific value physical property parameters of the samples using different methods, obtain the performance evaluation value through the obtained response function calculation, obtain the current function value through the single-point correction function, and calculate the calorific value physical property parameters based on the real components of the samples to obtain the real value; Comparison module: configured to compare the performance evaluation value and the current function value with the true value respectively, so as to obtain the working performance evaluation result of the gas chromatograph to be evaluated.

9. An electronic device, characterized in that: The invention comprises a memory and a processor and computer instructions stored in the memory and executed on the processor. When the computer instructions are executed by the processor, the steps in the performance evaluation method of a natural gas chromatograph as claimed in any one of claims 1 to 7 are completed.

10. A computer-readable storage medium, characterized in that: Used to store computer instructions, which, when executed by a processor, complete the steps in the performance evaluation method of a natural gas chromatograph as described in any one of claims 1-7.

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