Intelligent calibration and analysis system for sulfur tester detection data

Abstract

The present application relates to sulfur determination instrument data calibration analysis technical field, and relates to a kind of sulfur determination instrument detection data intelligent calibration analysis system.The present application is based on the initial concentration of sulfur dioxide at each time point, extracts concentration peak value, concentration peak value duration and concentration half-peak width to calculate its combustion completeness index, obtains complete combustion determination result, and combines the comparative result analysis whether sulfur determination instrument needs calibration with the actual sulfur content of sample measurement data;When sulfur determination instrument needs calibration, the optical path receiving end electric signal after measurement is collected, combined with initial reference electric signal, the initial concentration of sulfur dioxide at each time point is corrected, the sulfur content of sample after correction is obtained, whether there is deviation between its and the actual sulfur content of standard coal sample is judged, when there is deviation, the correction factor of each measurement is obtained to calibrate original calibration coefficient.The invalid calibration of measurement result is avoided, calibration efficiency is improved, and sulfur determination instrument detection data accuracy is improved.

Description

Technical Field

[0001] This invention relates to the field of sulfur analyzer data calibration and analysis technology, and specifically to an intelligent calibration and analysis system for sulfur analyzer detection data. Background Technology

[0002] Sulfur analyzers, as devices for detecting sulfur content, are widely used in various laboratory and industrial testing scenarios. However, in actual testing processes, the detection data of sulfur analyzers can be affected by incomplete combustion of samples and the absorption of excess spectra by water vapor, leading to deviations in the measurement results and making it difficult to meet the requirements of high-precision testing. Therefore, intelligent calibration and analysis of sulfur analyzer monitoring data is essential.

[0003] Existing technologies, such as Chinese Patent Publication No. CN109444068B, disclose a fuzzy predictive control analysis system for an infrared carbon-sulfur analyzer. This system integrates the deviations of airflow rate, ambient temperature, gas partial pressure, sample weight, and corresponding standard values, and combines them with preset coefficients to correct the initial concentration of sulfur dioxide gas, thereby eliminating the interference of environmental and sample parameters on the detection results. At the same time, it uses fuzzy prediction formulas to obtain correction coefficients, compensating for measurement errors caused by the aging of the detection unit over a long period of use.

[0004] However, the existing technology has the following problems: 1. The existing technology only makes up for the measurement error by using fuzzy prediction formulas and preset coefficients, without analyzing the complete combustion state of the sample. This leads to the concentration data of the sample being incorrectly corrected when it is incompletely combusted. It is impossible to distinguish between the detection deviation caused by incomplete combustion and the actual error of the equipment, which affects the accuracy of the sulfur content detection results.

[0005] 2. Existing technologies eliminate the interference of environmental and sample parameters on the detection results, but do not take into account the interference of water vapor on the detection results during the optical detection process. This results in insufficient correction accuracy, which means that deviations caused by dynamic factors such as baseline drift at the optical path receiver and water vapor interference cannot be effectively offset, increasing the sulfur content detection error and affecting the long-term detection stability of the sulfur analyzer. Summary of the Invention

[0006] This invention aims to address the shortcomings of existing technologies and provide an intelligent calibration and analysis system for sulfur analyzer detection data.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent calibration and analysis system for sulfur analyzer detection data, comprising: a combustion completeness analysis module, a calibration judgment module, a sulfur content correction module, and a sulfur analyzer calibration module. The connection relationships between the modules are as follows: the combustion completeness analysis module is connected to the calibration judgment module, and the sulfur content correction module is connected to both the calibration judgment module and the sulfur analyzer calibration module.

[0008] The combustion completeness analysis module obtains the initial sulfur dioxide concentration at each time point based on the measured electrical signals at the optical path receiver during each detection experiment of the coal sample under test. From this, the concentration peak value, concentration peak duration, and concentration half-peak width are extracted to calculate its combustion completeness index.

[0009] The calibration judgment module obtains the complete combustion judgment result based on the combustion completeness index of each test, and analyzes whether the sulfur analyzer needs to be calibrated by combining the sulfur content measured by the sulfur analyzer with the actual sulfur content of the sample.

[0010] The sulfur content correction module, when the sulfur analyzer needs calibration, obtains the electrical signal from the optical path receiver at the end of sulfur dioxide absorption and combines it with the initial reference electrical signal to correct the initial concentration of sulfur dioxide at each time point, thus obtaining the corrected sulfur content of the sample.

[0011] The sulfur analyzer calibration module determines whether there is a deviation between the corrected sulfur content and the actual sulfur content of the coal sample to be tested. When a deviation exists, the sulfur analyzer calibration coefficient is obtained based on the correction factor of each test.

[0012] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention obtains the measured electrical signals at each time point of the optical path receiving end of the coal sample to be tested during each detection experiment, extracts the concentration peak, concentration peak duration and concentration half-peak width from them to calculate its combustion completeness index, thereby accurately quantifying the completeness of sample combustion during the measurement process, avoiding invalid calibration of the measurement results, and improving the pertinence of calibration.

[0013] (2) The present invention obtains the complete combustion judgment result based on the combustion completeness index, and analyzes whether the sulfur analyzer needs to be calibrated by combining the comparison results of the sulfur content measured by the sulfur analyzer and the actual sulfur content of the sample. This enables accurate judgment of the sulfur analyzer calibration and effectively avoids the problem of missed calibration of the sulfur analyzer.

[0014] (3) This invention corrects the initial concentration of sulfur dioxide at each time point by combining the electrical signal of the optical path receiver after the measurement with the initial reference electrical signal, and obtains the corrected sulfur content of the sample. This realizes the error compensation for the drift of the reference electrical signal and the influence of water vapor during the measurement process, solves the measurement deviation caused by reference drift and insufficient drying, and improves the reliability of the calibration results.

[0015] (4) This invention analyzes the deviation between the corrected sulfur content and the actual sulfur content of the sample, and obtains the calibration coefficient of the sulfur analyzer based on the correction factor of each test, so as to achieve accurate calibration when testing samples of different quality, solve the problem of calibration coefficient failure caused by long-term use of equipment, improve the accuracy of sulfur analyzer test data, and ensure the stability of sulfur analyzer test over long term. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the system module connections of the present invention.

[0018] Figure 2 This is a schematic diagram illustrating the specific process of the sulfur content correction module in this invention.

[0019] Figure 3 This is a schematic diagram illustrating the specific process for determining the final calibration factor in this invention. Detailed Implementation

[0020] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the invention. Furthermore, it should be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale.

[0021] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use. Techniques, methods, and apparatus known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and apparatus should be considered part of the specification.

[0022] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0023] This invention extracts the peak concentration, peak duration, and half-maximum width of sulfur dioxide (HWHM) at each time point to calculate the combustion completeness index, obtaining a complete combustion determination result. It then compares the sulfur content measured by the sulfur analyzer with the actual sulfur content of the sample to analyze whether the sulfur analyzer needs calibration. When calibration is required, the electrical signal from the optical path receiver after measurement is collected and combined with the initial reference electrical signal to correct the initial sulfur dioxide concentration at each time point, obtaining the corrected sulfur content of the sample. It then determines whether there is a deviation between this corrected value and the actual sulfur content of the sample. If a deviation exists, the correction factor for each measurement is obtained to obtain the calibration coefficient. This avoids invalid calibration of the measurement results, improves calibration efficiency, and enhances the accuracy of the sulfur analyzer's detection data.

[0024] Please see Figure 1As shown, this invention provides an intelligent calibration and analysis system for sulfur analyzer detection data, including: a combustion completeness analysis module, a calibration judgment module, a sulfur content correction module, and a sulfur analyzer calibration module. The modules are connected as follows: the combustion completeness analysis module is connected to the calibration judgment module, and the sulfur content correction module is connected to both the calibration judgment module and the sulfur analyzer calibration module.

[0025] The combustion completeness analysis module analyzes the combustion completeness index based on the initial sulfur dioxide concentration at each time point.

[0026] Considering that incomplete combustion of coal samples may occur during combustion due to insufficient oxygen or flux, resulting in a lower actual sulfur dioxide concentration and affecting measurement results, simply calibrating the sulfur analyzer without addressing the impact of incomplete combustion would lead to invalid calibration and disrupt its normal operation. Therefore, determining whether combustion is complete before subsequent calibration improves calibration efficiency.

[0027] Furthermore, considering that incompletely combusted samples may exhibit phenomena such as premature or delayed sulfur dioxide release, significant differences in combustion rates between the first and second halves, and excessively short half-peak widths,

[0028] Therefore, the combustion completeness is comprehensively analyzed by collecting and analyzing the peak concentration duration, half-peak width, left half-peak width, and right half-peak width.

[0029] Based on this, the specific steps of this embodiment are as follows: S11, based on the measured electrical signals at each time point of the optical path receiver during each detection experiment of the coal sample to be tested, the initial concentration of sulfur dioxide at each time point is obtained.

[0030] The coal samples tested in each test were all standard coal samples with known sulfur content.

[0031] In addition, the method for obtaining the initial concentration of sulfur dioxide at each time point is as follows: First, before the start of the measurement time point, pure oxygen is introduced, and the measured electrical signal of the infrared detector at the optical path receiver is obtained within 3-5 seconds of oxygen introduction. The initial reference electrical signal before the start of the measurement is obtained by calculating the average value, and the coal sample to be tested is ignited for combustion.

[0032] Secondly, the measured electrical signals of the infrared detector at the optical path receiver are collected at each time point from the start time point to the end time point of the measurement. The electrical signals are all instantaneous voltage signals.

[0033] Then, the initial concentration of sulfur dioxide at each time point is calculated based on the measured electrical signals at each time point and the initial reference electrical signals, combined with Lambert-Beer's law.

[0034] The formula for calculating sulfur dioxide concentration is as follows: .

[0035] in Indicates sulfur dioxide concentration. These represent the optical path length and molar absorptivity, respectively. Both are fixed parameters of the equipment and can be retrieved from the database of the sulfur analyzer's testing experiment. These represent the measured electrical signal and the initial reference electrical signal, respectively. This represents the voltage attenuation. Considering that optical path attenuation cannot be directly measured, and since the detector voltage signal is proportional to the light intensity, the voltage attenuation is used to represent the light intensity attenuation. This expression is based on the Lambert-Beer law: The concentration is obtained by solving for the concentration, where This represents the degree of light intensity attenuation.

[0036] S12. Extract the concentration peak, concentration peak duration, and concentration half-peak width from the initial sulfur dioxide concentration at each time point to calculate its combustion completeness index. The specific implementation steps are as follows: S121. Obtain the time points corresponding to the concentration half-peak value during the measurement process from the initial sulfur dioxide concentration at each time point, and record the difference between the time points corresponding to the concentration half-peak value as the concentration half-peak width.

[0037] S122. Calculate the left half-peak width based on the time point corresponding to the concentration peak and the time point corresponding to the first arrival of the half-peak concentration. Combine the half-peak width to obtain the right half-peak width. Use the ratio of the minimum to the maximum value between the left and right half-peak widths as the peak shape symmetry coefficient.

[0038] S123. Based on the sample quality of each test, retrieve the corresponding standard concentration half-peak width range and standard concentration peak duration range from the sulfur analyzer test experiment background database, and perform ratio analysis by combining the concentration half-peak width and concentration peak duration to determine the concentration half-peak width coefficient and concentration peak duration coefficient.

[0039] The specific methods for determining the standard concentration half-peak width range and the standard concentration peak duration range are as follows: Obtain the concentration half-peak width, concentration peak duration, and sample mass from the sulfur analyzer during historical complete combustion detection processes. Calculate the maximum and minimum values ​​of the sample concentration half-peak width for each sample mass to form the standard concentration half-peak width range. Similarly, calculate the maximum and minimum values ​​of the sample concentration peak duration for each sample mass to form the standard concentration peak duration range. Store the standard concentration half-peak width range and standard concentration peak duration range corresponding to each sample mass in the sulfur analyzer's detection experiment background database.

[0040] The calculation method for the concentration half-peak width coefficient and the concentration peak duration coefficient includes: W1, when the concentration half-peak width is within the standard concentration half-peak width range, the concentration half-peak width coefficient is recorded as the preset concentration half-peak width coefficient.

[0041] W2. Conversely, obtain the minimum deviation value between the concentration half-width and the standard concentration half-width range, calculate the difference between the median of the concentration half-width range and the minimum deviation value, and record the ratio of this difference to the median of the concentration half-width range as the concentration half-width coefficient.

[0042] The minimum deviation value reflects the difference between the half-width at half maximum (WHM) of the sample and the maximum and minimum values ​​within the standard concentration WHM range. The closer the minimum deviation is to 0, the more complete the combustion. The median of the WHM range is selected as the representative value for ideal complete combustion. The difference between the median and the minimum deviation value yields the performance value; a larger minimum deviation value corresponds to a smaller performance value, and a smaller minimum deviation value corresponds to a performance value closer to the median. Finally, a ratio analysis with the median is performed to quantify the value to a range of 0 to 1. A larger minimum deviation value corresponds to a smaller WHM, and a smaller minimum deviation value corresponds to a larger WHM that is closer to 1. This facilitates the subsequent mapping of the combustion completeness index to a range of 0 to 1.

[0043] W3. Similarly, the concentration peak duration coefficient is obtained using the same method as the concentration half-width coefficient. The specific implementation steps are as follows: when the concentration peak duration is within the range of the standard concentration peak duration, the concentration peak duration coefficient is recorded as the preset concentration peak duration coefficient.

[0044] The preset half-width coefficient of concentration and the preset peak duration coefficient of concentration are both 1.

[0045] Conversely, obtain the minimum deviation between the peak concentration duration and the standard peak concentration duration range, calculate the difference between the median of the peak concentration duration range and the minimum deviation, and record the ratio of this difference to the median of the peak concentration duration range as the peak concentration duration coefficient.

[0046] S124. The product of the concentration peak duration coefficient, the concentration half-peak width coefficient, and the peak shape symmetry coefficient is used as the combustion completeness index. Calculation using the product of these three factors better reflects the correlation between the indicators, demonstrating the synergy and cumulative effect of the combustion process. Furthermore, it is ensured that the combustion completeness index is a value between [0, 1], with a smaller value indicating less complete combustion.

[0047] This invention acquires the measured electrical signals at each time point of the optical path receiver during each detection and measurement of the coal sample to be tested, extracts the concentration peak value, concentration peak duration, and concentration half-peak width from them, and calculates its combustion completeness index, thereby accurately quantifying the completeness of combustion of the sample during the measurement process, avoiding invalid calibration of the measurement results, and improving the pertinence of the calibration.

[0048] The calibration determination module is used to analyze whether the sulfur analyzer needs calibration.

[0049] Considering that the lower measurement results when combustion is incomplete are caused by incomplete combustion, calibrating the equipment is not practical. However, when combustion is incomplete and the measurement results do not deviate from the actual sulfur content, the higher measurement results of the optical absorption cell may be caused by the influence of water vapor, thus offsetting the error caused by incomplete combustion. Therefore, it is necessary to correct for this.

[0050] Based on this, the complete combustion determination result is obtained according to the combustion completeness index. The comparison between the sulfur content measured by the sulfur analyzer and the actual sulfur content of the sample is then used to analyze whether the sulfur analyzer needs calibration. The specific implementation steps are as follows: S211. If the combustion completeness index of a certain test is lower than the preset combustion completeness index, the complete combustion determination result is recorded as incomplete combustion of the sample; otherwise, the complete combustion determination result is recorded as complete combustion of the sample. The preset combustion completeness index is 1.

[0051] S212. Obtain the deviation between the measured sulfur content and the actual sulfur content of the sample in each test by the sulfur analyzer. If the deviation of a certain test is within the allowable deviation range, the comparison result of that test is judged to be that the measured value has no error; otherwise, the comparison result is judged to be that the measured value has an error.

[0052] In this embodiment, the allowable deviation range is set as a unit percentage of the actual sulfur content, i.e., 1%. When the deviation of a certain test is less than 1% of the actual sulfur content, the measurement value is determined to be without error. The implementer may also set other specific values.

[0053] S213. If all experimental samples tested are completely burned and the measured values ​​are without error, or if all experimental samples are not completely burned and the measured values ​​are without error, then the sulfur analyzer does not need to be calibrated.

[0054] S214. If a sample in a test is completely burned but the measurement value has an error, or if the sample is not completely burned but the measurement value has no error, the sulfur analyzer needs to be calibrated.

[0055] S215. Count the number of times the sulfur analyzer needs to be calibrated based on the experimental results of all tests. If the number is not zero, the sulfur analyzer needs to be calibrated.

[0056] This invention obtains the complete combustion determination result based on the combustion completeness index, and analyzes whether the sulfur analyzer needs calibration by comparing the sulfur content measured by the sulfur analyzer with the actual sulfur content of the sample. This realizes the intelligent and precise calibration trigger logic, effectively avoids missed calibration or incorrect calibration, accurately locates the cause of the error, ensures the necessity and correctness of the calibration action, and improves calibration efficiency.

[0057] The sulfur content correction module is used to correct the initial sulfur dioxide concentration at each time point.

[0058] Considering that the reference point signal may shift during the measurement process, directly using the initial reference electrical signal to calculate the sulfur dioxide concentration would cause a systematic deviation in the concentration calculation at each time point, failing to reflect the true sulfur release situation. Therefore, it is necessary to combine the electrical signal from the optical path receiver after the measurement is completed.

[0059] Furthermore, considering that water vapor will be generated during the sample combustion process, if the drying is not complete, the residual water vapor will be adsorbed on the inner wall of the optical absorption cell. Its absorption spectrum overlaps with the absorption spectrum of sulfur dioxide, which will cause the electrical signal detected by the optical path receiver to be distorted, thus making the initial concentration measurement value of sulfur dioxide too high.

[0060] Based on this, the specific implementation steps are as follows: When the sulfur analyzer needs calibration, the electrical signal from the optical path receiver after the measurement is completed is combined with the initial reference electrical signal to correct the initial sulfur dioxide concentration at each time point, thus obtaining the corrected sulfur content of the sample. For example... Figure 2 As shown, the specific implementation steps are as follows: S311, extract the electrical signal of the optical path receiver after the sulfur dioxide absorption ends from the measured electrical signal at each time point during the measurement process, and obtain the post-measurement reference electrical signal.

[0061] In this embodiment, the point at which sulfur dioxide absorption ends is defined as the point at which the initial concentration of sulfur dioxide is below 1 ppm and the difference between adjacent time points for five or more consecutive time points thereafter is less than 0.1 ppm. The electrical signals from the optical path receiver are collected at the point at which sulfur dioxide absorption ends and at the next three time points, and their average value is used as the post-measurement reference electrical signal.

[0062] S312. The difference between the post-measurement reference electrical signal and the initial reference electrical signal before the sulfur analyzer starts measurement is recorded as the reference electrical signal deviation value.

[0063] S313. Based on the reference electrical signal deviation value combined with the time linear component and the combustion process characteristic component, calculate the corrected reference electrical signal at each time point during the measurement process. The specific calculation method is as follows: S3131. Obtain the time between the start of the measurement and the corresponding time point at which sulfur dioxide absorption ends, and record it as the total measurement time. Calculate the time from the start of the measurement to each time point within the total measurement time, and use the ratio of this to the total measurement time as the linear component coefficient.

[0064] S3132. Collect the dew point value of the gas at the inlet of the optical absorption cell at each time point, determine the time range of water vapor influence, and assign combustion characteristic component coefficients to each time point during the measurement process based on the time range of water vapor influence and the absolute difference between each time point and the time point corresponding to the concentration peak.

[0065] The dew point value mentioned above is a physical quantity that reflects the absolute content of water vapor in a gas. Its unit is degrees Celsius (°C). This value is independent of the temperature of the gas itself and directly characterizes the amount of water vapor.

[0066] The steps for obtaining the combustion characteristic component coefficients include: Step 1, obtaining the time points when the dew point value at each time point within the total measurement time is greater than the dew point threshold corresponding to the drying conditions of the sulfur analyzer, and determining the time range of water vapor influence.

[0067] In this embodiment, the dew point threshold corresponding to the drying conditions of the sulfur analyzer is -30℃. When the dew point value of the gas entering the optical cell is higher than -30℃, the broadband infrared absorption generated by water vapor begins to interfere with the characteristic absorption measurement of sulfur dioxide, affecting the measurement results. Therefore, each time point corresponding to the dew point value greater than -30℃ is recorded as the water vapor influence time point, and the range composed of all water vapor influence points is recorded as the water vapor influence time range.

[0068] Step 2: When a certain time point is outside the time range affected by water vapor, the combustion characteristic component coefficient of that time point is recorded as zero.

[0069] Step 3: Conversely, the absolute difference between the time point and the time point corresponding to the concentration peak is calculated as the ratio of the time difference to the duration corresponding to the water vapor influence time range, and recorded as the time offset.

[0070] Step 4: Calculate the time offset of each time point within the time range of water vapor influence, and obtain the corresponding combustion characteristic component coefficients through reverse normalization.

[0071] The specific formula for reverse normalization is as follows: .

[0072] in The coefficient representing the combustion characteristic component at time point i. Represents the time offset at the i-th time point, through The coefficient reflecting the combustion characteristic component is inversely proportional to the time offset; that is, the larger the time offset, the smaller the assigned coefficient. Perform ratio calculations to ensure that the sum of the combustion characteristic component coefficients at all time points is 1.

[0073] S3133. The distribution coefficients at each time point are obtained by weighted summation of the linear component coefficient and the combustion characteristic component coefficient.

[0074] Considering that water vapor has a more serious impact on the measurement results, and that the combustion characteristic component coefficient quantifies the distribution of water vapor influence over time, the weight of the combustion characteristic component coefficient is set to be greater than that of the linear component coefficient. In this embodiment, the weight of the combustion characteristic component coefficient is set to 60%, and the weight of the linear component coefficient is set to 40%. Implementers may also use other specific weight allocations, but the sum of the two must be 1.

[0075] S3134. The corrected reference electrical signal at each time point is obtained by multiplying the reference electrical signal deviation value with the distribution coefficient at each time point.

[0076] S314. Calculate the corrected sulfur dioxide concentration based on the corrected reference electrical signals at each time point and the measured electrical signals at each time point. The calculation method is the same as that for the initial sulfur dioxide concentration.

[0077] In addition, the method for obtaining the corrected sulfur content of the sample includes: first, assembling the corrected sulfur dioxide concentrations at each time point during the measurement process into a time series, obtaining the time difference between adjacent time points, and combining it with the sulfur dioxide carrier gas flow rate for comprehensive analysis to obtain the total sulfur release.

[0078] The specific formula for calculating the total sulfur release is as follows: .

[0079] in This represents the sulfur dioxide concentration at time point i. Represents the difference between adjacent times. The carrier gas flow rate, representing sulfur dioxide, is a fixed parameter of the equipment and can be retrieved from the database of the sulfur analyzer's testing experiment. Represents the total sulfur release, i = 1, 2, ..., m, where The discrete numerical integration method is used.

[0080] Then, the product of the total sulfur release and the original calibration coefficient of the sulfur analyzer is obtained, and the ratio of this product to the sample mass is used as the corrected sulfur content of the sample.

[0081] This invention corrects the initial sulfur dioxide concentration at each time point by combining the electrical signal from the optical path receiver after the measurement with the initial reference electrical signal, thus obtaining the corrected sulfur content of the sample. This achieves error compensation for reference electrical signal drift and water vapor influence during the measurement process, solves the measurement deviation caused by reference drift and insufficient drying, and improves the reliability of the calibration results.

[0082] The sulfur analyzer calibration module calibrates the original calibration coefficients of the sulfur analyzer based on the correction factor.

[0083] Considering that during long-term use of sulfur analyzers, various factors can cause the original calibration coefficients to gradually become invalid, resulting in a systematic deviation between the test results after sulfur content correction and the actual sulfur content of the sample. At the same time, corrections based on a single test are easily affected by accidental factors and cannot reflect the true trend of equipment error. If the calibration coefficients are adjusted based on a single calibration factor, it will lead to insufficient calibration accuracy and poor stability of test results.

[0084] Therefore, by introducing correction factors from historical measurements into the sulfur analyzer calibration module and combining them with calibration factors for different sample masses, the original calibration coefficients can be dynamically calibrated and updated. This can effectively offset the systematic errors caused by component wear and tear during long-term use of the equipment. At the same time, statistical analysis can reduce the impact of random factors, ensuring that the detection accuracy of the sulfur analyzer remains stable throughout its entire life cycle and meeting the continuous demand for high-precision detection.

[0085] Based on this, the specific implementation of the sulfur analyzer calibration module is as follows: S41, obtain the deviation between the corrected sulfur content of the sample and the actual sulfur content of the sample. If the deviation is within the allowable deviation range, it is determined that there is no deviation between the corrected sulfur content and the actual sulfur content of the sample.

[0086] In this embodiment, the allowable deviation range is set as a unit percentage of the actual sulfur content of the sample, i.e., 1%. When the difference between the corrected sulfur content and the actual sulfur content of the sample is less than 1%, it is determined that there is no deviation between the corrected sulfur content and the actual sulfur content of the sample; otherwise, it is determined that there is a deviation.

[0087] S42. When a deviation exists, the correction factor for each measurement is obtained to calibrate the original calibration coefficient, resulting in the calibrated calibration coefficient. The specific implementation steps are as follows: S421. If there is a deviation between the corrected sulfur content and the actual sulfur content of the sample, the actual sulfur content of the sample detected by the sulfur analyzer and the corrected sulfur content are obtained, and the ratio of the two is calculated to obtain the calibration factor.

[0088] The actual sulfur content and corrected sulfur content of the sample obtained in each test refer to the actual sulfur content and corrected sulfur content of each test when the experimental sample is completely burned but the measurement value has errors.

[0089] S422. Statistically determine the calibration factors for each test corresponding to different sample masses, determine the final calibration factor based on the mass of the coal sample to be tested, and record the product of the final calibration factor and the original calibration coefficient as the calibration coefficient.

[0090] like Figure 3 As shown, in a specific embodiment of the present invention, the steps for determining the final calibration factor are as follows: S4221, obtain the average value and standard deviation of the calibration factor statistical sample of each sample mass, and use the ratio of the standard deviation to the average value as the sample variation coefficient.

[0091] S4222, calculate the average value of the calibration factor corresponding to each sample mass whose sample coefficient of variation is less than the set coefficient of variation threshold, and record it as the final calibration factor for the corresponding sample mass.

[0092] The coefficient of variation is used to reflect the degree of dispersion of the data. The threshold of the coefficient of variation is usually set between 0.03 and 0.1. Preferably, in this embodiment, the threshold of the coefficient of variation is set to 0.05. The implementer can also set other specific values ​​within the range.

[0093] S4223: After removing outliers in the calibration factors corresponding to sample masses whose coefficient of variation is greater than the set coefficient of variation threshold, calculate the average value of the remaining calibration factors and use it as the final calibration factor for the corresponding sample mass.

[0094] Specifically, outlier removal methods can be based on setting a 99% confidence interval between the standard deviation and the mean of the sample, and outliers that exceed this interval can be removed.

[0095] S4224, based on the mass of the coal sample to be tested, select the corresponding final calibration factor from the final calibration factors corresponding to different sample masses.

[0096] This invention analyzes the deviation between the corrected sulfur content and the actual sulfur content of the sample, and obtains the calibration coefficient of the sulfur analyzer based on the correction factor of each test. This ensures the adaptability and specificity of the final calibration coefficient, solves the problem of calibration coefficient failure caused by long-term use of the equipment, and improves the accuracy of the sulfur analyzer's detection data.

[0097] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0098] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0099] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0100] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0101] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent calibration and analysis system for sulfur analyzer detection data, characterized in that, include: The combustion completeness analysis module obtains the initial sulfur dioxide concentration at each time point based on the measured electrical signals at the optical path receiver during each detection and measurement of the coal sample. It then extracts the concentration peak, concentration peak duration, and concentration half-peak width to calculate its combustion completeness index. The calibration judgment module obtains the complete combustion judgment result based on the combustion completeness index of each test, and analyzes whether the sulfur analyzer needs to be calibrated by combining the comparison results of the sulfur content measured by the sulfur analyzer and the actual sulfur content of the sample. The sulfur content correction module, when the sulfur analyzer needs to be calibrated, obtains the electrical signal from the optical path receiver at the end of sulfur dioxide absorption and combines it with the initial reference electrical signal to correct the initial concentration of sulfur dioxide at each time point, thus obtaining the corrected sulfur content of the sample. The sulfur analyzer calibration module determines whether there is a deviation between the corrected sulfur content and the actual sulfur content of the coal sample to be tested. When a deviation exists, the sulfur analyzer calibration coefficient is obtained based on the correction factor of each test.

2. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 1, characterized in that, The main contents of the combustion completeness analysis module include: The time points corresponding to the half-peak concentration of sulfur dioxide during the measurement process are obtained from the initial concentration of sulfur dioxide at each time point, and the difference between the time points corresponding to the half-peak concentration is recorded as the half-peak width of the concentration. The width of the left half peak is calculated based on the time point corresponding to the concentration peak and the time point corresponding to the first arrival of the half peak concentration. The width of the right half peak is obtained by combining the half peak width. The ratio of the minimum to the maximum value between the left and right half peak widths is used as the peak shape symmetry coefficient. Based on the sample quality of each test, the corresponding standard concentration half-peak width range and standard concentration peak duration range are retrieved from the sulfur analyzer's backend database. The half-peak width and peak duration are combined for ratio analysis to determine the half-peak width coefficient and peak duration coefficient. The product of the concentration peak duration coefficient, the concentration half-peak width coefficient, and the peak shape symmetry coefficient is used as the combustion completeness index.

3. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 2, characterized in that, The calculation methods for the concentration half-width ratio and the concentration peak duration ratio include: When the concentration half-width is within the standard concentration half-width range, the concentration half-width coefficient is recorded as the preset concentration half-width coefficient. Conversely, obtain the minimum deviation value between the concentration half-width and the standard concentration half-width range, calculate the difference between the median of the concentration half-width range and the minimum deviation value, and record the ratio of this difference to the median of the concentration half-width range as the concentration half-width coefficient. Similarly, the concentration peak duration coefficient is obtained by using the same method as the concentration half-width coefficient.

4. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 3, characterized in that, The specific steps for determining whether the sulfur analyzer needs calibration include: If the combustion completeness index of a certain test is lower than the preset combustion completeness index, the complete combustion judgment result will be recorded as incomplete combustion of the sample; otherwise, the complete combustion judgment result will be recorded as complete combustion of the sample. The deviation between the measured sulfur content and the actual sulfur content of the sample in each test by the sulfur analyzer is obtained. If the deviation of a certain test is within the allowable deviation range, the comparison result of that test is judged to be that the measured value has no error; otherwise, the comparison result is judged to be that the measured value has an error. If all experimental samples tested are completely burned and the measurement values ​​are without error, or if all experimental samples are incompletely burned and the measurement values ​​are in error, then the sulfur analyzer does not need to be calibrated. If a sample is completely burned in a test but the measurement value is inaccurate, or if the sample is not completely burned but the measurement value is accurate, the sulfur analyzer needs to be calibrated.

5. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 1, characterized in that, The specific contents of the sulfur content correction module include: Extract the electrical signal from the optical path receiver after the sulfur dioxide absorption ends from the measured electrical signal at each time point during the measurement process, and obtain the post-measurement reference electrical signal. The difference between the acquired post-measurement reference electrical signal and the initial reference electrical signal before the sulfur analyzer begins measurement is recorded as the reference electrical signal deviation value. Based on the reference electrical signal deviation value, combined with the time linear component and the combustion process characteristic component, the corrected reference electrical signal at each time point during the measurement process is calculated. The corrected sulfur dioxide concentration is calculated based on the corrected reference electrical signal at each time point and the measured electrical signal at each time point.

6. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 5, characterized in that, The calculation method for the corrected reference electrical signal at each time point is as follows: The time between the start of the measurement and the end of sulfur dioxide absorption is recorded as the total measurement time. The time between each time point and the start of the measurement is calculated within the total measurement time, and the ratio of the calculated time to the total measurement time is used as the linear component coefficient. The dew point values ​​of the gas at the inlet of the optical absorption cell were collected at various time points to determine the time range of water vapor influence. Based on the time range of water vapor influence and the absolute difference between each time point and the time point corresponding to the concentration peak, combustion characteristic component coefficients were assigned to each time point during the measurement process. The distribution coefficients at each time point are obtained by weighted summation of the linear component coefficients and the combustion characteristic component coefficients; The corrected reference electrical signal at each time point is obtained by multiplying the deviation value of the reference electrical signal with the distribution coefficient at each time point.

7. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 6, characterized in that, The steps for obtaining the combustion characteristic component coefficients include: Obtain the time points within the total measurement time when the dew point value is greater than the dew point threshold corresponding to the drying conditions of the sulfur analyzer, and form them into a water vapor influence time range. When a certain time point is outside the time range affected by water vapor, the combustion characteristic component coefficient of that time point is recorded as zero. Conversely, the absolute difference between the time point and the time point corresponding to the concentration peak is calculated by ratioing it to the duration corresponding to the time range of water vapor influence, and recorded as the time offset. The time offset of each time point within the time range of water vapor influence is statistically analyzed, and the corresponding combustion characteristic component coefficients are obtained by reverse normalization.

8. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 7, characterized in that, The method for obtaining the corrected sulfur content of the sample includes: The corrected sulfur dioxide concentrations at each time point during the measurement process are compiled into a time series. The time difference between adjacent time points is obtained, and the total sulfur release is obtained by comprehensive analysis in combination with the sulfur dioxide carrier gas flow rate. The product of the total sulfur release and the original calibration coefficient of the sulfur analyzer is obtained, and the ratio of this product to the sample mass is used as the corrected sulfur content of the sample.

9. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 8, characterized in that, The specific contents of the sulfur analyzer calibration module include: The deviation between the corrected sulfur content and the actual sulfur content of the sample is obtained. If the deviation is within the allowable deviation range, it is determined that there is no deviation between the corrected sulfur content and the actual sulfur content of the sample. Conversely, the actual sulfur content and the corrected sulfur content of the sample obtained from each test by the sulfur analyzer are obtained, and the ratio of the two is calculated to obtain the calibration factor. The calibration factors for each test are statistically analyzed for different sample masses. The final calibration factor is determined based on the mass of the coal sample to be tested. The product of the final calibration factor and the original calibration coefficient is recorded as the calibration coefficient.

10. The intelligent calibration and analysis system for sulfur analyzer detection data according to claim 9, characterized in that, The steps for determining the final calibration factor are as follows: Obtain the calibration factor of each sample mass, the mean and standard deviation of the calibration factor of the sample, and use the ratio of the standard deviation to the mean as the sample coefficient of variation. Calculate the average value of the calibration factor corresponding to each sample mass whose coefficient of variation is less than the set coefficient of variation threshold, and record it as the final calibration factor for the corresponding sample mass. After removing outliers in the calibration factor corresponding to sample quality whose coefficient of variation is greater than the set coefficient of variation threshold, the average value of the remaining calibration factors is calculated and used as the final calibration factor for the corresponding sample quality. The final calibration factor is selected from the final calibration factors corresponding to different sample masses based on the mass of the coal sample to be tested.

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