A method, system, and storage medium for performance evaluation of a sulfur compound analyzer

Abstract

The present application relates to a kind of sulfide analyzer performance evaluation method, system and storage medium, comprising the determination method type that the sulfide analyzer to be evaluated is obtained, according to the determination method type Determine the evaluation index set corresponding to the sulfide analyzer to be evaluated;Set the optimal test condition of the determination method type under the sulfide analyzer to be evaluated, according to the optimal test condition and the determination method type, using the sulfide analyzer to be evaluated to sample determination, and the actual index value sequence of each evaluation index in the evaluation index set in the determination process is calculated;Based on grey correlation analysis method, the actual index value sequence of all evaluation indexes is analyzed, and the performance grade corresponding to the sulfide analyzer to be evaluated is obtained.The present application can be according to the performance comprehensive evaluation of multiple indexes of different types of sulfide analyzer, can accurately evaluate the product and performance level standard of sulfide analyzer.

Description

Technical Field

[0001] This invention relates to the field of sulfide analyzer evaluation standards, and more particularly to a performance evaluation method, system, and storage medium for a sulfur compound analyzer. Background Technology

[0002] Sulfides are compounds formed by metal ions and hydrosulfide ions. These substances easily escape from water into the air, producing an unpleasant odor and are highly toxic. They can interact with cytochromes, oxidases, and disulfide bonds in the body, affecting cellular oxidation processes, causing cellular hypoxia, and endangering human life. When sulfide levels in wastewater are too high, the cell structure of microorganisms in activated sludge is damaged, and enzymes within the bacteria deteriorate, inhibiting their activity and causing toxicity. Furthermore, high sulfide concentrations can induce filamentous sulfur bacteria, leading to sludge bulking, decreased settling performance, and sludge loss. Total sulfur, primarily found in natural gas and petroleum, mainly harms humans, corrodes metal equipment, causes aging of non-metallic components and equipment, indirectly damages the environment, and produces toxic side effects on organisms. Therefore, the determination of sulfides and total sulfur is of great significance.

[0003] Currently, there are many methods used both domestically and internationally for the determination of total sulfur. The main technical approach involves converting various forms of sulfur into sulfides, and then measuring these sulfides. Therefore, the essence of total sulfur determination is still the determination of sulfides. Instruments for measuring and analyzing sulfides and total sulfur are collectively referred to as sulfide analyzers. Sulfide analyzers typically use ultraviolet absorption, laser absorption, and chromatography to measure hydrogen sulfide, and ultraviolet fluorescence and chromatography to measure total sulfur.

[0004] However, there are currently no comprehensive evaluation and product standards for sulfide analyzers. Therefore, the quality of sulfide analyzers on the market varies greatly, which has a certain impact on their promotion and application. Therefore, it is necessary to establish a performance evaluation method and system for sulfide analyzers to facilitate their promotion and widespread application. Summary of the Invention

[0005] The technical problem to be solved by this invention is to address the shortcomings of the prior art by providing a performance evaluation method, system, and storage medium for sulfide analyzers. This method enables comprehensive performance evaluation of multiple indicators for different types of sulfide analyzers, accurately assesses the product and performance standards of sulfide analyzers, ensures the quality of sulfide analyzers on the market, and helps realize the application value of sulfide analyzers.

[0006] This invention is achieved through the following technical solution:

[0007] A method for evaluating the performance of a sulfide analyzer includes the following steps:

[0008] Obtain the type of measurement method used by the sulfide analyzer to be evaluated, and determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method.

[0009] Set the optimal test conditions for the sulfide analyzer to be evaluated under the type of determination method. Based on the optimal test conditions and the type of determination method, use the sulfide analyzer to be evaluated to determine the sample, and calculate the actual index value sequence corresponding to each evaluation index in the set of evaluation indexes during the determination process.

[0010] Based on the grey relational analysis method, the actual index value sequence of all evaluation indicators is analyzed to obtain the performance level of the sulfide analyzer to be evaluated.

[0011] According to another aspect of the present invention, a performance evaluation system for a sulfide analyzer is also provided, which is applied to the performance evaluation method for the sulfide analyzer of the present invention, including an index acquisition module, an index value measurement module, and an analysis and evaluation module.

[0012] The index acquisition module is used to acquire the type of measurement method used by the sulfide analyzer to be evaluated, and to determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method.

[0013] The index value determination module is used to set the optimal test conditions for the sulfide analyzer to be evaluated under the test method type. Based on the optimal test conditions and the test method type, the sulfide analyzer to be evaluated is used to measure the sample, and the actual index value sequence corresponding to each evaluation index in the evaluation index set is calculated during the measurement process.

[0014] The analysis and evaluation module is used to analyze the actual index value sequence of all evaluation indicators based on the grey relational analysis method to obtain the performance level of the sulfide analyzer to be evaluated.

[0015] According to another aspect of the present invention, a performance evaluation system for a sulfide analyzer is provided, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed, implements the steps in the performance evaluation method for the sulfide analyzer of the present invention.

[0016] According to another aspect of the present invention, a computer storage medium is provided, the computer storage medium comprising: at least one instruction that, when executed, implements the steps in the performance evaluation method of the sulfide analyzer of the present invention.

[0017] The present invention has the following advantages and beneficial effects:

[0018] 1. This invention first obtains the measurement method type of the sulfide analyzer to be evaluated. The measurement method type corresponds to the working principle of the sulfide analyzer. Based on the determined measurement method type, a set of evaluation indicators applicable to the sulfide analyzer and matching its working principle can be determined. Performance evaluation can be adaptively adjusted according to the type of sulfide analyzer, achieving comprehensive performance evaluation for different types of sulfide analyzers. Then, the optimal test conditions under the measurement method type are set. According to the optimal test conditions and measurement method type, the sulfide analyzer to be evaluated is used to measure the sample, and the actual indicator value sequence corresponding to each evaluation indicator in the matching evaluation indicator set is calculated. Each actual indicator value sequence includes multiple actual indicator values, which facilitates more accurate performance evaluation based on all actual indicator value sequences, effectively improving the accuracy of the performance evaluation of the sulfide analyzer to be evaluated. Based on the grey relational analysis method, all actual indicator value sequences are analyzed. On the one hand, the optimal standard reference indicator sequence can be selected according to actual needs, applicable to different types of sulfide analysis. On the other hand, it is applicable to the relatively small number of evaluation indicators in this invention, and accurate evaluation results are obtained.

[0019] 2. The performance evaluation method, system, and storage medium of the sulfide analyzer of the present invention can comprehensively evaluate the performance of various types of sulfide analyzers. It can adaptively adjust performance indicators according to different types of sulfide analyzers, and is applicable to online instruments measuring sulfide content in gases using ultraviolet absorption, laser absorption, and chromatography methods, as well as online instruments measuring total sulfur in gases using ultraviolet fluorescence and chromatography methods. Furthermore, the comprehensive performance evaluation has high accuracy, the method is easy to implement, and it can accurately evaluate the product and performance level standards of sulfide analyzers, ensuring the quality of sulfide analyzers on the market and helping to realize the application value of sulfide analyzers. Attached Figure Description

[0020] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0021] Figure 1 This is a flowchart illustrating a performance evaluation method for a sulfide analyzer according to Embodiment 1 of the present invention;

[0022] Figure 2 This is a flowchart illustrating the process of obtaining the performance level of the sulfide analyzer to be evaluated in Embodiment 1 of the present invention.

[0023] Figure 3 This is a schematic diagram of the performance evaluation system of a sulfide analyzer in Embodiment 2 of the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0025] Example 1

[0026] like Figure 1 As shown in the figure, this embodiment provides a method for evaluating the performance of a sulfide analyzer, the steps of which are as follows:

[0027] S1: Obtain the type of measurement method used by the sulfide analyzer to be evaluated, and determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method.

[0028] S2: Set the optimal test conditions for the sulfide analyzer to be evaluated under the type of the determination method. Based on the optimal test conditions and the type of the determination method, use the sulfide analyzer to be evaluated to determine the sample, and calculate the actual index value sequence corresponding to each evaluation index in the evaluation index set during the determination process.

[0029] S3: Based on the grey relational analysis method, the actual index value sequence of all evaluation indicators is analyzed to obtain the performance level of the sulfide analyzer to be evaluated.

[0030] First, the measurement method type of the sulfide analyzer to be evaluated is obtained. The measurement method type corresponds to the working principle of the sulfide analyzer. Based on the determined measurement method type, the set of evaluation indicators applicable to the sulfide analyzer and matching its working principle can be determined. Performance evaluation can be adaptively adjusted according to the type of sulfide analyzer, achieving comprehensive performance evaluation for different types of sulfide analyzers. Then, the optimal test conditions under the measurement method type are set. According to the optimal test conditions and measurement method type, the sulfide analyzer to be evaluated is used to measure the sample, and the actual indicator value sequence corresponding to each evaluation indicator in the matching evaluation indicator set is calculated. Each actual indicator value sequence includes multiple actual indicator values, which facilitates more accurate performance evaluation based on all actual indicator value sequences, effectively improving the accuracy of the performance evaluation of the sulfide analyzer to be evaluated. Based on the grey relational analysis method, all actual indicator value sequences are analyzed. On the one hand, the optimal standard reference indicator sequence can be selected according to actual needs, applicable to different types of sulfide analysis. On the other hand, it is applicable to the relatively small number of evaluation indicators in this invention, and accurate evaluation results can be obtained.

[0031] The performance evaluation method for sulfide analyzers in this embodiment can comprehensively evaluate the performance of various types of sulfide analyzers. It can adaptively adjust the performance indicators according to different types of sulfide analyzers. It is applicable to online instruments that measure the sulfide content in gases, such as ultraviolet absorption, laser absorption, and chromatography, as well as online instruments that measure the total sulfur in gases, such as ultraviolet fluorescence and chromatography. Moreover, the comprehensive performance evaluation has high accuracy and low difficulty in implementation. It can accurately evaluate the product and performance level standards of sulfide analyzers, ensure the quality of sulfide analyzers on the market, and help realize the application value of sulfide analyzers.

[0032] Specifically, common sulfide analyzer methods include ultraviolet absorption, laser absorption, chromatography, and ultraviolet fluorescence. The choice of method can be based on the specific circumstances or determined according to the instruction manual of the sulfide analyzer being evaluated. Sulfide analyzers can use ultraviolet absorption, laser absorption, and chromatography to measure sulfide content, and ultraviolet fluorescence and chromatography to measure total sulfur content. Both sulfide and total sulfur content are expressed as concentration values.

[0033] Specifically, in S1, the specific implementation of determining the evaluation index set corresponding to the sulfide analyzer to be evaluated based on the type of measurement method is as follows:

[0034] When the determination method is specifically ultraviolet absorption, laser absorption, ultraviolet fluorescence, or chromatography, the evaluation index set corresponding to the sulfide analyzer to be evaluated includes effectiveness, repeatability, linearity, drift, and indication error; wherein, when the determination method is specifically chromatography, the evaluation index set corresponding to the sulfide analyzer to be evaluated also includes resolution.

[0035] The above set of evaluation indicators facilitates an accurate evaluation of the overall performance of the sulfide analyzer under evaluation, ensuring the product standards and yield quality of the sulfide analyzer under evaluation.

[0036] Specifically, once the type of measurement method and the set of evaluation indicators are determined, the optimal test conditions can be set according to the actual measurement environment and actual application, so that the subsequent sample measurements are more realistic and effective, and the sequence of each actual indicator value is more in line with the actual situation.

[0037] Preferably, in S2, according to the optimal test conditions and the type of determination method, the sample is measured using the sulfide analyzer to be evaluated, and the actual index value sequence corresponding to each evaluation index in the evaluation index set during the measurement process is calculated. Specifically, this includes the following steps:

[0038] When the determination method is specifically ultraviolet absorption, laser absorption, or ultraviolet fluorescence, the sample is measured using the sulfide analyzer to be evaluated under optimal test conditions, and the actual index value sequence corresponding to the effectiveness, repeatability, linearity, drift, and indication error during the determination process is calculated respectively.

[0039] When the determination method is specifically a chromatographic method, under the optimal test conditions, the sample is measured using the sulfide analyzer to be evaluated, and the actual index value sequence corresponding to the effectiveness, repeatability, linearity, drift, indication error and resolution during the determination process is calculated respectively.

[0040] The specific steps for calculating the actual index value sequence corresponding to the effectiveness of the sulfide analyzer being evaluated during the measurement process are as follows:

[0041] S2A.1: Under optimal test conditions, a blank sample gas is selected as the sample to conduct n1 blank tests, and the first test result of the n1 blank tests is obtained; a first standard sample gas with a detection limit higher than the sulfide to be evaluated is selected as the sample to conduct n1 response tests, and the second test result of the n1 response tests is obtained.

[0042] S2A.2: Select the first test result of the i1th blank test and the second test result of the i1th response test, judge the selected first test result according to the preset blank test criterion to obtain the first validity value corresponding to the i1th blank test, and judge the selected second test result according to the preset response test criterion to obtain the second validity value corresponding to the i1th response test.

[0043] S2A.3: Perform a weighted average calculation on the first validity value corresponding to the i1th blank test and the second validity value corresponding to the i1th response test to obtain the corresponding validity mean;

[0044] S2A.4: Iterate through the first test result of each blank test and the second test result of each response test to obtain n1 mean validity values. Based on the n1 mean validity values, obtain the sequence of actual index values ​​corresponding to the validity of the sulfide analyzer to be evaluated.

[0045] Validity is assessed through two tests: a blank test and a response test. A blank test involves performing parallel operations using identical analytical steps, reagents, and dosages, except without adding a sample. If the result is within a preset range (i.e., meets the preset blank test criteria), the instrument is considered valid; otherwise, it is invalid. Nitrogen is typically used as the blank sample gas. The response test involves introducing a standard substance above the instrument's detection limit, requiring the instrument to respond to the measured standard substance. If a response is generated (i.e., meets the preset response test criteria), the instrument is considered valid; otherwise, it is invalid. By conducting these two tests and obtaining n1 mean validity values ​​based on the first test result of each blank test and the second test result of each response test, a sequence of actual index values ​​corresponding to validity is obtained. This allows for a relatively accurate assessment of the validity of the sulfide analyzer being evaluated, facilitating subsequent comprehensive evaluation and analysis.

[0046] Preferably, the specific steps for calculating the actual index value sequence corresponding to the repeatability of the sulfide analyzer to be evaluated during the measurement process are as follows:

[0047] S2B.1: Under optimal test conditions, select n1 different given concentration values ​​of second standard sample gas that are all lower than the detection limit of the sulfide analyzer to be evaluated as samples, and perform n2 repeat tests on each second standard sample gas to obtain the sulfide concentration of each second standard sample gas in n2 repeat tests.

[0048] S2B.2: Select the sulfide concentration of the i2th second standard sample gas in n2 repeatability tests, and calculate the relative standard deviation of the i2th second standard sample gas.

[0049] S2B.3: Iterate through the sulfide concentrations of each second standard sample gas in n2 repeatability tests, calculate the relative standard deviations of n1 second standard sample gases, and use the relative standard deviations of n1 second standard sample gases as the actual index value sequence corresponding to the repeatability of the sulfide analyzer to be evaluated during the measurement process.

[0050] The specific formula for calculating the relative standard deviation of the i2th second standard sample gas is as follows:

[0051]

[0052] Let n be the relative standard deviation of the i2th second standard sample gas, and n2 be the number of tests in the repeatability test. The sulfide concentration of the i2th second standard sample gas in the j1st repeatability test. The average sulfide concentration of the i2th second standard sample gas in n2 repeatable tests.

[0053] Repeatability refers to the degree of similarity (or dispersion) between results obtained from multiple consecutive tests of the same sample under optimal testing conditions. In this embodiment, n1 second standard sample gases with different given concentrations are selected as samples, and each second standard sample gas undergoes n2 repeatability tests. This approach allows for a more accurate relative standard deviation for each second standard sample gas and ensures that the number of data points in the actual index value sequence corresponding to validity is the same, facilitating the subsequent construction of an index data matrix for comprehensive evaluation and analysis. Both the first and second standard sample gases are sulfur-containing gases with known concentrations.

[0054] Preferably, the specific steps for calculating the sequence of actual index values ​​corresponding to the indication error of the sulfide analyzer to be evaluated during the measurement process are as follows:

[0055] S2C.1: Under optimal test conditions, select any given concentration value of the second standard sample gas that is lower than the detection limit of the sulfide analyzer to be evaluated as the sample and conduct n1 error measurement tests to obtain the sulfide concentration of the selected second standard sample gas in each error measurement test.

[0056] S2C.2: The indication error under each error measurement test is calculated based on the given concentration value of the selected second standard sample gas and the sulfide concentration of each error measurement test; and the actual index value sequence corresponding to the indication error of the sulfide analyzer to be evaluated during the measurement process is obtained based on all indication errors;

[0057] The specific formula for calculating the indication error under the i3th error measurement test is as follows:

[0058]

[0059] Let A0 be the indicated error in the i-th error measurement test, and let A0 be the given concentration value of the selected second standard sample gas. The concentration of sulfide is given in the i3rd error measurement test.

[0060] Indication error is the error between the sulfide concentration detected by the instrument and the given concentration value. This indication error can reflect the performance of the instrument to a certain extent. In this embodiment, through n1 error measurement experiments, the actual index value sequence corresponding to the indication error of the sulfide analyzer to be evaluated during the measurement process can be obtained, and the number of data in the actual index value sequence corresponding one-to-one with the validity and repeatability is the same, which facilitates the subsequent construction of the index data matrix and facilitates comprehensive evaluation and analysis.

[0061] Preferably, the specific steps for calculating the linearly corresponding sequence of actual index values ​​of the sulfide analyzer to be evaluated during the measurement process are as follows:

[0062] S2D.1: Under optimal test conditions, select multiple second standard sample gases with different given concentrations, all of which are lower than the detection limit of the sulfide analyzer to be evaluated, as samples for linear determination experiments. Based on the given concentrations of multiple sets of second standard sample gases and the sulfide concentrations measured in the linear determination experiments, perform linear fitting to obtain a linear fitting curve.

[0063] S2D.2: Calculate the linear correlation coefficient based on the linear fitting curve; repeat the linear measurement experiment n1 times to obtain the linear correlation coefficient under the n1 linear measurement experiments, and obtain the actual index value sequence of the linearly corresponding sulfide analyzer to be evaluated during the measurement process based on all the linear correlation coefficients.

[0064] Ideally, the sulfide concentration measured by the instrument should be linearly correlated with a given concentration value. In this embodiment, linear measurement experiments are conducted using second standard sample gases with multiple different given concentration values, and linear fitting is performed to calculate the linear correlation coefficient between the sulfide concentration and the given concentration value. Based on the linear correlation coefficient under n1 linear measurement experiments, the actual index value sequence corresponding to the linear relationship during the measurement process of the sulfide analyzer under evaluation is obtained, which can reflect the actual performance of the sulfide analyzer under evaluation to a certain extent. The specific method for calculating the linear correlation coefficient based on the linear fitting curve is existing technology and will not be elaborated here.

[0065] Preferably, the specific steps for calculating the actual index value sequence corresponding to the drift of the sulfide analyzer to be evaluated during the measurement process are as follows:

[0066] S2E.1: Under optimal test conditions, select n1 different given concentration values ​​of the second standard sample gas, all of which are lower than the detection limit of the sulfide analyzer to be evaluated, as samples for stability testing. For the second standard sample gas with the i4th given concentration value, record the initial zero-point reading of the sulfide analyzer to be evaluated during the stability test, and record the real-time zero-point reading every t minutes, for a total of n3 real-time zero-point readings.

[0067] S2E.2: Based on the initial zero-point reading and n3 real-time zero-point readings, the actual drift of the sulfide analyzer to be evaluated under the second standard sample gas at the i4th given concentration value is calculated.

[0068] S2E.3: Iterate through n1 second standard sample gases with given concentration values, and repeat the stability test to obtain the actual drift of the sulfide analyzer to be evaluated under each given concentration value of the second standard sample gas; obtain the actual index value sequence corresponding to the drift of the sulfide analyzer to be evaluated during the measurement process based on all actual drifts;

[0069] The specific formula for calculating the actual drift of the sulfide analyzer under evaluation corresponding to the second standard sample gas at the i4th given concentration value is as follows:

[0070]

[0071] n is the actual drift of the sulfide analyzer under evaluation corresponding to the second standard sample gas at the i4th given concentration value, and n3 is the number of times the real-time zero-point reading was recorded during the stability test. This represents the j2nd real-time zero-point reading of the i4th second standard sample gas during the stability test. This represents the initial zero-point reading of the i4th second standard sample gas during the stability test. ΔZ j R represents the j2nd zero-point drift of the i4th second standard sample gas during the stability test, and R is the full-scale value of the sulfide analyzer to be evaluated.

[0072] Drift reflects the stability of an instrument over a period of time. In this embodiment, through the stability test described above, the actual drift of the sulfide analyzer to be evaluated can be accurately calculated, thereby obtaining the actual index value sequence corresponding to the drift of the sulfide analyzer to be evaluated during the measurement process, which further effectively improves the accuracy and reliability of the subsequent comprehensive performance evaluation.

[0073] Preferably, when the determination method is specifically chromatography, the specific steps for calculating the sequence of actual index values ​​corresponding to the resolution of the sulfide analyzer to be evaluated during the determination process are as follows:

[0074] S2F.1: Under optimal test conditions, select any given concentration value of the second standard sample gas as the sample and perform n1 chromatographic analysis experiments to obtain the hydrogen sulfide chromatogram and sulfur-oxygen-carbon chromatogram in each chromatographic analysis experiment.

[0075] S2F.1: Based on the hydrogen sulfide chromatography and carbon sulfide chromatography in each chromatographic analysis test, calculate the resolution between hydrogen sulfide chromatography and carbon sulfide chromatography in each chromatographic analysis test; based on the resolution between all hydrogen sulfide chromatography and carbon sulfide chromatography, obtain the actual index value sequence corresponding to the resolution of the sulfide analyzer to be evaluated during the measurement process.

[0076] The specific formula for calculating the resolution between hydrogen sulfide chromatography and sulfur oxide carbon chromatography in the i5th chromatographic analysis is as follows:

[0077]

[0078] The resolution between hydrogen sulfide and sulfur oxide carbon in the i5th chromatographic analysis experiment. and These represent the retention times of the hydrogen sulfide peak and the carbon sulfide peak in the i5th chromatographic analysis experiment, respectively. and These are the peak widths of the hydrogen sulfide chromatographic peak and the sulfur-oxygen-carbon chromatographic peak, respectively, in the i5th chromatographic analysis experiment.

[0079] When the sulfide analyzer being evaluated uses a chromatographic method, the measurement results include chromatograms, which show the chromatographic peaks of each sulfide. Resolution is an indicator of the interference between each sulfide component. Therefore, for chromatographic sulfide analyzers, calculating the resolution between hydrogen sulfide chromatograms and sulfur, oxygen, and carbon monoxide chromatograms through the above steps can reflect the overall performance of the instrument to a certain extent, further improving the accuracy of the overall performance evaluation.

[0080] It should be noted that in this embodiment, the number of data in the actual indicator value sequence corresponding to each evaluation indicator in the above evaluation indicator set is n1, which facilitates the subsequent construction of an indicator data matrix with n1 columns.

[0081] Specifically, in S2A.2, the selected first test result is judged according to the preset blank test criterion to obtain the first validity value corresponding to the i1th blank test, and the selected second test result is judged according to the preset response test criterion to obtain the second validity value corresponding to the i1th response test. The specific steps include:

[0082] Determine whether the result of the first test in the i1th blank test is less than or equal to 0.6 mg / m². 3 If yes, the first validity value corresponding to the i1th blank test is 1; otherwise, the first validity value is 0.

[0083] Determine whether the result of the second test selected in the i1th response test indicates a response. If yes, the second validity value corresponding to the i1th response test is 1; otherwise, the corresponding second validity value is 0.

[0084] For blank tests, ideally, the first test result of the sulfide analyzer being evaluated (i.e., the sulfide concentration value measured for the blank sample gas) should be 0. However, due to differences in instrument performance and testing errors, this first test result may be greater than 0. Therefore, if the first test result of the i1th blank test is less than or equal to 0.6 mg / m³, the result should be considered negative. 3 If the first standard sample gas exceeds the instrument's detection limit, the instrument is considered effective, and its corresponding first effectiveness value is assigned a value of 1; otherwise, it is considered invalid, and the value is assigned a value of 0. For the response test, since the first standard sample gas exceeds the instrument's detection limit, the second test result of the sulfide analyzer being evaluated cannot provide a specific sulfide concentration value. However, the instrument needs to respond to the first standard sample gas. That is, if the second test result of the i1th response test indicates a response, the instrument is considered effective, and its corresponding second effectiveness value is assigned a value of 1; otherwise, it is considered invalid, and the value is assigned a value of 0. Through the above determination process, the instrument's effectiveness can be reflected in actual numerical values, facilitating the subsequent comprehensive performance evaluation calculation process.

[0085] Preferably, such as Figure 2 As shown, S3 specifically includes the following steps:

[0086] S31: Preprocess the actual index value sequence of each evaluation indicator to obtain the target index value sequence corresponding to each evaluation indicator;

[0087] S32: Take each target indicator value sequence as a row of the indicator data matrix, and take the number of all evaluation indicators as a column of the indicator data matrix to construct the indicator data matrix;

[0088] S33: Define the reference index sequence for the sulfide analyzer to be evaluated;

[0089] The expressions for the indicator data matrix and the reference indicator sequence are as follows:

[0090]

[0091] X′0={x′0(1),x′0(2),…,x′0(m)} T ;

[0092] in, The indicator data matrix is ​​specifically an m×n1 matrix; m is the number of all evaluation indicators, X′ k Let x′ be the k-th column of the index data matrix. k (1),x′ k (2),…,x′ k(m) are all element values ​​in the k-th column of the indicator data matrix, X′0 is the reference indicator sequence, and x′0(1), x′0(2), ..., x′0(m) are all element values ​​in the reference indicator sequence;

[0093] S34: Take each column of the indicator data matrix as a comparison sequence, select any comparison sequence, calculate the absolute difference between the element value corresponding to each evaluation indicator in the selected comparison sequence and the element value of the corresponding evaluation indicator in the reference indicator sequence, and calculate the correlation coefficient between each evaluation indicator in the selected comparison sequence and the corresponding evaluation indicator in the reference indicator sequence based on all absolute differences.

[0094] The specific formula for calculating the correlation coefficient between the y-th evaluation index in the k-th comparison sequence and the y-th evaluation index in the reference index sequence is as follows:

[0095]

[0096] Where, ζ k (y) is the correlation coefficient between the y-th evaluation index in the k-th comparison sequence and the y-th evaluation index in the reference index sequence, x′ k (y) represents the element value of the y-th evaluation index in the k-th comparison sequence, x′0(y) represents the element value of the y-th evaluation index in the reference index sequence, and |x′0(y)-x′ k (y)| represents the absolute difference between the element value of the y-th evaluation index in the k-th comparison sequence and the element value of the y-th evaluation index in the reference index sequence, where ρ is the resolution coefficient.

[0097] S35: Perform a weighted average calculation on the correlation coefficients between all evaluation indicators in the selected comparison sequence and the corresponding evaluation indicators in the reference indicator sequence to obtain the correlation order between the selected comparison sequence and the reference indicator sequence.

[0098] The specific formula for calculating the correlation order between the k-th comparison sequence and the reference index sequence is as follows:

[0099]

[0100] Where, r k ω represents the association order between the k-th comparison sequence and the reference index sequence. y Let y be the weight of the y-th evaluation indicator;

[0101] S36: Traverse each comparison sequence to obtain the correlation order between each comparison sequence and the reference index sequence; determine the average value of all correlation orders as the target correlation order corresponding to the index data matrix;

[0102] S37: Construct a performance level set for the sulfide analyzer to be evaluated, and score each performance level in the performance level set to obtain a level scoring table corresponding to the sulfide analyzer to be evaluated.

[0103] S38: Based on the target correlation sequence corresponding to the index data matrix and the grade scoring table, the performance grade corresponding to the sulfide analyzer to be evaluated is obtained.

[0104] By preprocessing the actual indicator value sequence of each evaluation indicator, it can be ensured that the data in each target indicator value sequence are under the same standard, thus facilitating the subsequent calculation process. Each target indicator value sequence is used as a row of the indicator data matrix, and the number of all evaluation indicators is used as a column of the indicator data matrix to construct the indicator data matrix. This facilitates subsequent matrix-based calculations to comprehensively analyze the instrument's performance, resulting in low computational complexity. The defined reference indicator sequence is a sequence composed of reference indicator values ​​of a preset optimal standard. This optimal standard can be set according to actual conditions or it can be a sequence composed of the maximum element value of each row in the indicator data matrix. Through the above calculations, each ratio... The method of calculating the correlation coefficient between each element in the comparison sequence and each element in the reference index sequence, and then calculating the correlation order between each comparison sequence and the reference index sequence, can accurately determine the difference and consistency between each comparison sequence and the reference index sequence. This facilitates the determination of the final performance level of the sulfide analyzer to be evaluated based on all correlation orders. When the average value of all correlation orders is determined as the target correlation order corresponding to the index data matrix, a level rating table is obtained based on the constructed performance level set and the score of each performance level. By searching the level rating table according to the target correlation order, the performance level corresponding to the sulfide analyzer to be evaluated can be obtained, and the result is accurate and reliable.

[0105] Specifically, the implementation of S31 is as follows:

[0106] The actual indicator value sequence of each evaluation indicator is averaged to obtain the target indicator value sequence corresponding to each evaluation indicator.

[0107] Mean normalization ensures that each data point in the actual indicator value sequence for each evaluation indicator is dimensionless, facilitating subsequent unified analysis and calculation. It should be noted that the specific method used for mean normalization is existing technology, and its details will not be elaborated here.

[0108] Specifically, the expression for the performance level set is: V = {v1, v2, v3, v4};

[0109] Wherein, V is the set of performance levels, v1 represents a very accurate performance level, v2 represents an accurate performance level, v3 represents a fairly accurate performance level, and v4 represents an inaccurate performance level; the scoring range corresponding to a very accurate performance level is [0.9, 1], the scoring range corresponding to an accurate performance level is [0.7, 0.9), the scoring range corresponding to a fairly accurate performance level is [0.4, 0.7), and the scoring range corresponding to an inaccurate performance level is [0, 0.4].

[0110] Using the aforementioned performance level set and scoring intervals, it is easy to directly query the scoring interval where the target association order is located in the rating table obtained based on the performance level set and scoring intervals, and thus obtain its corresponding performance level. The method is direct and effective, and the results are reliable and accurate.

[0111] Specifically, the rating table in this embodiment is shown in Table 1.

[0112] Table 1. Grading Table

[0113]

[0114] Example 2

[0115] like Figure 3 As shown, this embodiment provides a performance evaluation system for a sulfide analyzer, which is applied to the performance evaluation method of the sulfide analyzer in Example 1. The system includes an index acquisition module, an index value measurement module, and an analysis and evaluation module.

[0116] The index acquisition module is used to acquire the type of measurement method used by the sulfide analyzer to be evaluated, and to determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method.

[0117] The index value determination module is used to set the optimal test conditions for the sulfide analyzer to be evaluated under the test method type. Based on the optimal test conditions and the test method type, the sulfide analyzer to be evaluated is used to measure the sample, and the actual index value sequence corresponding to each evaluation index in the evaluation index set is calculated during the measurement process.

[0118] The analysis and evaluation module is used to analyze the actual index value sequence of all evaluation indicators based on the grey relational analysis method to obtain the performance level of the sulfide analyzer to be evaluated.

[0119] The performance evaluation system for sulfide analyzers in this embodiment can comprehensively evaluate the performance of various types of sulfide analyzers. It can adaptively adjust the performance indicators according to different types of sulfide analyzers. It is suitable for online instruments that measure the sulfide content in gases using ultraviolet absorption, laser absorption, and chromatography methods, as well as online instruments that measure the total sulfur in gases using ultraviolet fluorescence and chromatography methods. Moreover, the comprehensive performance evaluation has high accuracy and low difficulty in implementation. It can accurately evaluate the product and performance level standards of sulfide analyzers, ensure the quality of sulfide analyzers on the market, and help realize the application value of sulfide analyzers.

[0120] For details not covered in this embodiment, please refer to Embodiment 1 and... Figures 1 to 2 The specific details will not be repeated here.

[0121] Example 3

[0122] Based on Embodiments 1 and 2, this embodiment also discloses a performance evaluation system for a sulfide analyzer, including a processor, a memory, and a computer program stored in the memory and run on the processor. When the computer program runs, it implements the specific steps of S1 to S3.

[0123] By using a computer program stored in memory and running on a processor, the performance of various types of sulfide analyzers can be comprehensively evaluated. Performance indicators can be adaptively adjusted according to different types of sulfide analyzers. This is applicable to online instruments measuring sulfide content in gases using methods such as ultraviolet absorption, laser absorption, and chromatography, as well as online instruments measuring total sulfur in gases using methods such as ultraviolet fluorescence and chromatography. Furthermore, the comprehensive performance evaluation has high accuracy and is easy to implement, accurately evaluating the product and performance standards of sulfide analyzers, ensuring the quality of sulfide analyzers on the market, and helping to realize the application value of sulfide analyzers.

[0124] This embodiment also provides a computer storage medium storing at least one instruction, which, when executed, implements the specific steps of S1 to S3.

[0125] By executing a computer storage medium containing at least one instruction, the performance of various types of sulfide analyzers can be comprehensively evaluated. Performance indicators can be adaptively adjusted according to different types of sulfide analyzers. This method is suitable for online instruments measuring sulfide content in gases using ultraviolet absorption, laser absorption, and chromatography methods, as well as online instruments measuring total sulfur in gases using ultraviolet fluorescence and chromatography methods. Furthermore, the comprehensive performance evaluation has high accuracy and is easy to implement, accurately evaluating the product and performance standards of sulfide analyzers, ensuring the quality of sulfide analyzers on the market, and helping to realize the application value of sulfide analyzers.

[0126] For details not covered in this embodiment, please refer to Embodiment 1 and... Figures 1 to 2 The specific details will not be repeated here.

[0127] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the performance of a sulfide analyzer, characterized in that, Includes the following steps: S1. Obtain the type of measurement method used by the sulfide analyzer to be evaluated, and determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method. S2. Set the optimal test conditions for the sulfide analyzer to be evaluated under the test method type. Based on the optimal test conditions and test method type, use the sulfide analyzer to be evaluated to measure the sample and calculate the actual index value sequence corresponding to each evaluation index in the evaluation index set during the measurement process. Step S2 is implemented using the following method: S2-1: The specific steps for calculating the actual index value sequence corresponding to the effectiveness evaluation index of the sulfide analyzer to be evaluated during the measurement process are as follows: Under optimal testing conditions, blank sample gas is selected as the sample to conduct n blank tests, and the first test result of n blank tests is obtained. The first standard sample gas, which is higher than the detection limit of the sulfide analyzer to be evaluated, is selected as the sample and n1 response tests are performed to obtain the second test results of n1 response tests. Select the first test result of the i1th blank test and the second test result of the i1th response test. Determine the selected first test result according to the preset blank test criteria to obtain the first validity value corresponding to the i1th blank test. Determine the selected second test result according to the preset response test criteria to obtain the second validity value corresponding to the i1th response test. The weighted average of the first validity value corresponding to the i1th blank test and the second validity value corresponding to the i1th response test is calculated to obtain the corresponding validity mean. By iterating through the first test results of each blank test and the second test results of each response test, n mean validity values ​​are obtained. Based on the n mean validity values, the actual index value sequence corresponding to the validity evaluation index of the sulfide analyzer to be evaluated is obtained. S2-2: The specific steps for calculating the actual index value sequence corresponding to the repeatability evaluation index of the sulfide analyzer to be evaluated during the measurement process are as follows: Under optimal testing conditions, n1 different given concentration values, all of which are lower than the detection limit of the sulfide analyzer to be evaluated, are selected as samples. Each second standard sample gas is subjected to n repeatability tests to obtain the sulfide concentration of each second standard sample gas in the n repeatability tests. Select the sulfide concentration of the i2th second standard sample gas in n repeatability tests, and calculate the relative standard deviation of the i2th second standard sample gas. The relative standard deviations of the n1 second standard sample gases are calculated by iterating through the sulfide concentrations of each second standard sample gas in n2 repeatable tests. The relative standard deviations of n1 second standard sample gases are used as the actual index value sequence corresponding to the repeatability evaluation index of the sulfide analyzer to be evaluated during the measurement process. The specific formula for calculating the relative standard deviation of the i2th second standard sample gas is as follows: Let n2 be the relative standard deviation of the i2th second standard sample gas, and n2 be the number of tests in the repeatability test. The sulfide concentration of the i2th second standard sample gas in the j1st repeatability test. The average sulfide concentration of the i2th second standard sample gas in n2 repeatable tests; S2-3: The specific steps for calculating the actual index value sequence corresponding to the indication error evaluation index of the sulfide analyzer to be evaluated during the measurement process are as follows: Under optimal testing conditions, select any second standard sample gas with a given concentration value that is lower than the detection limit of the sulfide analyzer to be evaluated as a sample and conduct n error measurement tests to obtain the sulfide concentration of the selected second standard sample gas in each error measurement test. The indication error for each error measurement test is calculated based on the given concentration value of the selected second standard sample gas and the sulfide concentration for each error measurement test. And based on all indication errors, the actual index value sequence corresponding to the indication error of the sulfide analyzer to be evaluated during the measurement process is obtained; The specific formula for calculating the indication error under the i3th error measurement test is as follows: Let A0 be the indicated error in the i-th error measurement test, and let A0 be the given concentration value of the selected second standard sample gas. The concentration of sulfide in the i3rd error measurement test; S2-4: The specific steps for calculating the actual index value sequence corresponding to the linear evaluation index of the sulfide analyzer under evaluation during the measurement process are as follows: Under optimal test conditions, multiple second standard sample gases with different given concentrations, all below the detection limit of the sulfide analyzer to be evaluated, were selected as samples for linear determination experiments. Linear fitting was performed based on the given concentrations of multiple sets of second standard sample gases and the sulfide concentrations measured in the linear determination experiments to obtain linear fitting curves. The linear correlation coefficient is calculated based on the linear fitting curve; and the linear measurement experiment is repeated n1 times to obtain the linear correlation coefficient under the n1 linear measurement experiments. Based on all the linear correlation coefficients, the actual index value sequence corresponding to the linear correlation of the sulfide analyzer to be evaluated during the measurement process is obtained. S2-5: The specific steps for calculating the actual index value sequence corresponding to the drift evaluation index of the sulfide analyzer to be evaluated during the measurement process are as follows: Under optimal test conditions, select n1 different given concentration values ​​of second standard sample gas, all of which are lower than the detection limit of the sulfide analyzer to be evaluated, as samples for stability tests. For the second standard sample gas with the i4th given concentration value, record the initial zero point reading of the sulfide analyzer to be evaluated during the stability test, and record the real-time zero point reading every t minutes, and record n ​​real-time zero point readings continuously. Based on the initial zero-point reading and n real-time zero-point readings, the actual drift of the sulfide analyzer to be evaluated under the second standard sample gas at the i4th given concentration value is calculated; the stability test is repeated for each of the n1 given concentration values ​​of the second standard sample gas to obtain the actual drift of the sulfide analyzer to be evaluated under the second standard sample gas at each given concentration value. Based on all actual drifts, a sequence of actual index values ​​corresponding to the drifts of the sulfide analyzer to be evaluated during the measurement process is obtained; The specific formula for calculating the actual drift of the sulfide analyzer under evaluation corresponding to the second standard sample gas at the i4th given concentration value is as follows: n is the actual drift of the sulfide analyzer under evaluation corresponding to the second standard sample gas at the i4th given concentration value, and n3 is the number of times the real-time zero-point reading was recorded during the stability test. This refers to the j2nd real-time zero-point reading of the i4th second standard sample gas during the stability test. The initial zero-point reading of the i4th second standard sample gas in the stability test. ΔZj is the j2th zero-point drift of the i4th second standard sample gas in the stability test, and R is the full-scale value of the sulfide analyzer to be evaluated. S2-6: The specific steps for calculating the actual index value sequence corresponding to the resolution evaluation index of the sulfide analyzer to be evaluated during the measurement process are as follows: Under optimal test conditions, a second standard sample gas of any given concentration value is selected as the sample and n chromatographic analysis experiments are performed to obtain the hydrogen sulfide chromatogram and sulfur-oxygen-carbon chromatogram in each chromatographic analysis experiment. Based on the hydrogen sulfide and carbon sulfide chromatograms in each chromatographic analysis test, the resolution between hydrogen sulfide and carbon sulfide chromatograms in each chromatographic analysis test is calculated; based on the resolution between all hydrogen sulfide and carbon sulfide chromatograms, the actual index value sequence corresponding to the resolution of the sulfide analyzer to be evaluated during the measurement process is obtained. The specific formula for calculating the resolution between hydrogen sulfide chromatography and sulfur oxide carbon chromatography in the i5th chromatographic analysis is as follows: The resolution between hydrogen sulfide and sulfur oxide carbon in the i5th chromatographic analysis experiment. and These represent the retention times of the hydrogen sulfide peak and the carbon sulfide peak in the i5th chromatographic analysis experiment, respectively. and These are the peak widths of the hydrogen sulfide chromatographic peak and the sulfur-oxygen-carbon chromatographic peak, respectively, in the i5th chromatographic analysis experiment. S3. Based on the grey relational analysis method, the actual index value sequence of all evaluation indicators is analyzed to obtain the performance level of the sulfide analyzer to be evaluated; S3 specifically includes the following steps: S5-1: Preprocess the actual index value sequence of each evaluation indicator to obtain the target index value sequence corresponding to each evaluation indicator; S5-2: Use each target indicator value sequence as a row of the indicator data matrix, and use the number of all evaluation indicators as columns of the indicator data matrix to construct the indicator data matrix. Define a reference index sequence for the sulfide analyzer to be evaluated; The expressions for the indicator data matrix and the reference indicator sequence are as follows: X′0={x′0(1),x′0(2),…,x′0(m)} T ; in, The indicator data matrix is ​​specifically an m×n1 matrix; m is the number of all evaluation indicators, X′ k Let x′ be the k-th column of the index data matrix. k (1),x′ k (2),…,x′ k (m) are all element values ​​in the k-th column of the indicator data matrix, X′0 is the reference indicator sequence, and x′0(1), x′0(2), ..., x′0(m) are all element values ​​in the reference indicator sequence; S5-3: Take each column of the indicator data matrix as a comparison sequence, select any comparison sequence, calculate the absolute difference between the element value of each evaluation indicator in the selected comparison sequence and the element value of the corresponding evaluation indicator in the reference indicator sequence, and calculate the correlation coefficient between each evaluation indicator in the selected comparison sequence and the corresponding evaluation indicator in the reference indicator sequence based on all absolute differences. The specific formula for calculating the correlation coefficient between the y-th evaluation index in the k-th comparison sequence and the y-th evaluation index in the reference index sequence is as follows: Where, ζ k (y) is the correlation coefficient between the y-th evaluation index in the k-th comparison sequence and the y-th evaluation index in the reference index sequence, x′ k (y) represents the element value of the y-th evaluation index in the k-th comparison sequence, x′0(y) represents the element value of the y-th evaluation index in the reference index sequence, and |x′0(y)-x′ k (y)| represents the absolute difference between the element value of the y-th evaluation index in the k-th comparison sequence and the element value of the y-th evaluation index in the reference index sequence, where ρ is the resolution coefficient. S5-4: Perform a weighted average calculation on the correlation coefficients between all evaluation indicators in the selected comparison sequence and the corresponding evaluation indicators in the reference indicator sequence to obtain the correlation order between the selected comparison sequence and the reference indicator sequence. The specific formula for calculating the correlation order between the k-th comparison sequence and the reference index sequence is as follows: Where, r k ω represents the association order between the k-th comparison sequence and the reference index sequence. y Let y be the weight of the y-th evaluation indicator; S5-5: Traverse each comparison sequence to obtain the correlation order between each comparison sequence and the reference index sequence; determine the average value of all correlation orders as the target correlation order corresponding to the index data matrix; S5-6: Construct a performance level set for the sulfide analyzer to be evaluated, and score each performance level in the performance level set to obtain the corresponding level scoring table for the sulfide analyzer to be evaluated. Based on the target correlation sequence and grade scoring table corresponding to the indicator data matrix, the performance grade of the sulfide analyzer to be evaluated is obtained.

2. The performance evaluation method for a sulfide analyzer according to claim 1, characterized in that, The types of determination methods include ultraviolet absorption, laser absorption, chromatography, and ultraviolet fluorescence. The specific implementation of determining the evaluation index set corresponding to the sulfide analyzer to be evaluated based on the type of measurement method is as follows: When the determination method is ultraviolet absorption, laser absorption, or ultraviolet fluorescence, the evaluation index set corresponding to the sulfide analyzer to be evaluated includes effectiveness, repeatability, linearity, drift, and indication error. When the determination method is chromatography, the evaluation index set corresponding to the sulfide analyzer to be evaluated includes effectiveness, repeatability, linearity, drift, indication error, and resolution.

3. The performance evaluation method for a sulfide analyzer according to claim 1, characterized in that, In step S2-1, the first test result of the i1th blank test and the second test result of the i1th response test are selected. The selected first test result is judged according to the preset blank test criterion to obtain the first validity value corresponding to the i1th blank test. The selected second test result is judged according to the preset response test criterion to obtain the second validity value corresponding to the i1th response test. Specifically, the steps are as follows: Determine whether the result of the first test in the i1th blank test is less than or equal to 0.6 mg / m². 3 If yes, the first validity value corresponding to the i1th blank test is 1; otherwise, the first validity value is 0. Determine whether the result of the second test selected in the i1th response test indicates a response. If yes, the second validity value corresponding to the i1th response test is 1; otherwise, the corresponding second validity value is 0.

4. The performance evaluation method for a sulfide analyzer according to claim 1, characterized in that, The specific implementation of step S5-1 is as follows: The actual indicator value sequence of each evaluation indicator is averaged to obtain the target indicator value sequence corresponding to each evaluation indicator.

5. The performance evaluation method for a sulfide analyzer according to claim 1, characterized in that, The specific expression for the performance level set is: V = {v1, v2, v3, v4}; Wherein, V is the set of performance levels, v1 represents a very accurate performance level, v2 represents an accurate performance level, v3 represents a fairly accurate performance level, and v4 represents an inaccurate performance level; the scoring range corresponding to a very accurate performance level is [0.9, 1], the scoring range corresponding to an accurate performance level is [0.7, 0.9), the scoring range corresponding to a fairly accurate performance level is [0.4, 0.7), and the scoring range corresponding to an inaccurate performance level is [0, 0.4].

6. A performance evaluation system for a sulfide analyzer, characterized in that, The method for evaluating the performance of a sulfide analyzer according to any one of claims 1 to 5 includes an index acquisition module, an index value measurement module, and an analysis and evaluation module. Price module; The index acquisition module is used to acquire the type of measurement method used by the sulfide analyzer to be evaluated, and to determine the set of evaluation indicators corresponding to the sulfide analyzer to be evaluated based on the type of measurement method. The index value determination module is used to set the optimal test conditions for the sulfide analyzer to be evaluated under the test method type. Based on the optimal test conditions and test method type, the sulfide analyzer to be evaluated is used to measure the sample, and the actual index value sequence corresponding to each evaluation index in the evaluation index set is calculated during the measurement process. The analysis and evaluation module is used to analyze the actual index value sequence of all evaluation indicators based on the grey relational analysis method to obtain the performance level of the sulfide analyzer to be evaluated.

7. A performance evaluation system for a sulfide analyzer, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed, implements the steps of a performance evaluation method for a sulfide analyzer as described in any one of claims 1 to 5.

8. A computer storage medium, characterized in that, The computer storage medium includes at least one instruction that, when executed, implements the steps of a performance evaluation method for a sulfide analyzer as described in any one of claims 1 to 5.

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