A method and system for biogenic carbon isotope enrichment

Abstract

The present invention relates to the technical field of carbon isotope enrichment, and discloses a method and system for biogenic carbon isotope enrichment. The method comprises: filtering combustion flue gas, separating a solid sample to be tested, compressing the sample, passing the compressed gas into a fractionation tower for low-temperature fractionation; collecting the compressed gas volume and determining the gas reflux volume, collecting the gas primary enrichment volume and comparing it with historical data, and determining whether to adjust the gas reflux volume; when it is determined that adjustment is required, comparing the compressed gas volume and the gas primary enrichment volume with the historical data, determining a reflux adjustment factor based on similarity, adjusting the gas reflux volume, performing low-temperature fractionation with the adjusted gas reflux volume, and obtaining a gas sample to be tested; and performing carbon element detection on the solid sample to be tested and the gas sample to be tested, and determining the biogenic carbon ratio. The present invention utilizes historical data for dynamic optimization to improve the carbon isotope enrichment effect, thereby ensuring the accuracy and reliability of carbon isotope detection.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon isotope enrichment, and in particular to a method and system for biogenic carbon isotope enrichment. Background Art

[0002] In energy production and industrial activities, combustion processes generate waste gases containing large amounts of carbon dioxide and other gases. These waste gases contain not only carbon but also solid particulate matter and impurities. With increasing global concern about climate change and environmental protection, accurately measuring and monitoring carbon emissions, particularly determining the proportion of biogenic carbon, has become increasingly important. Biogenic carbon primarily comes from the combustion of biomass fuels, while the combustion of fossil fuels releases fossil carbon, which is the primary factor contributing to the increase in atmospheric carbon dioxide concentrations.

[0003] Current biocarbon isotope testing often involves separating carbon dioxide gas through cryogenic distillation, with carbon isotope ratios determined via accelerator mass spectrometry. The accuracy of cryogenic fractionation directly impacts test results, and multiple fractionation steps are often employed within a fractionating tower to enhance the efficiency of the process. This involves determining the reflux rate, which currently relies on manual judgment and lacks a feedback mechanism. This susceptibility to human influence results in low test reliability.

[0004] Therefore, it is necessary to design a biogenic carbon isotope enrichment method and system to solve the problems existing in current technology. Summary of the Invention

[0005] In view of this, the present invention proposes a method and system for biogenic carbon isotope enrichment, aiming to solve the problems existing in current carbon isotope enrichment technology, such as the lack of a feedback regulation mechanism in the enrichment process, large differences in enrichment effects, and low detection reliability.

[0006] In one aspect, the present invention provides a method for biogenic carbon isotope enrichment, comprising:

[0007] The combustion flue gas is filtered to separate the solid sample to be tested, and the filtered flue gas is introduced into a vacuum tank for compression, and the compressed gas is passed into a distillation tower for low-temperature fractionation;

[0008] Collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison results;

[0009] When it is determined that the gas reflux amount is to be adjusted, the compressed gas amount and the gas primary enrichment amount are compared with the historical data, and a reflux adjustment factor is determined based on the similarity; when the similarity is higher than a similarity threshold, the reflux adjustment factor is determined based on the historical data; when the similarity is lower than or equal to the similarity threshold, a similar set is determined by a clustering algorithm, and the reflux adjustment factor is determined based on the similar set and real-time environmental data;

[0010] Adjusting the gas reflux rate according to the reflux adjustment factor, performing low-temperature fractionation with the adjusted gas reflux rate to obtain a gas sample to be tested;

[0011] The compressed gas volume, the primary gas enrichment volume, and the reflux adjustment factor are stored, and carbon element detection is performed on the solid sample to be detected and the gas sample to be detected to determine the biogenic carbon ratio.

[0012] Furthermore, when collecting the compressed gas volume and determining the gas reflux volume, it includes:

[0013] Comparing the compressed gas volume with a first preset gas volume and a second preset gas volume, where the first preset gas volume is less than the second preset gas volume, and determining the gas reflux volume according to the comparison result;

[0014] When the compressed gas amount is less than or equal to the first preset gas amount, determining the gas reflux amount to be the first preset gas reflux amount;

[0015] When the compressed gas amount is greater than the first preset gas amount and less than or equal to the second preset gas amount, determining the gas reflux amount to be the second preset gas reflux amount;

[0016] When the compressed gas amount is greater than the second preset gas amount, determining the gas reflux amount to be a third preset gas reflux amount;

[0017] The first preset gas reflux flow rate is smaller than the second preset gas reflux flow rate, and the second preset gas reflux flow rate is smaller than the third preset gas reflux flow rate.

[0018] Furthermore, judging whether to adjust the gas reflux rate according to the comparison result includes:

[0019] The historical data includes the historical qualified data mean, the historical primary enrichment amount, the historical compressed gas amount and the historical reflux adjustment factor, and the historical primary enrichment amount and the historical reflux adjustment factor correspond to the historical compressed gas amount;

[0020] Comparing the primary enrichment amount of the gas with the average of the historical qualified data in the historical data, and determining whether to adjust the gas reflux amount according to the comparison result;

[0021] When the primary enrichment amount of the gas is less than the average value of the historical qualified data in the historical data, it is determined that the gas reflux amount should be adjusted;

[0022] When the primary enrichment amount of the gas is greater than or equal to the average of the historical qualified data in the historical data, it is determined that the gas reflux amount is not adjusted, and low-temperature fractionation is performed according to the current gas reflux amount to obtain the gas sample to be tested.

[0023] Furthermore, when determining the reflux adjustment factor based on the similarity, the similarity is calculated using the following formula:

[0024]

[0025] Where S represents similarity, Y represents the normalized result of compressed gas volume, Y0 represents the normalized result of historical compressed gas volume, F represents the normalized result of gas primary enrichment volume, F0 represents the normalized result of historical primary enrichment volume, α and β represent weight coefficients, and α+β=1.

[0026] Furthermore, after determining the reflux adjustment factor based on the similarity, the following steps are also included:

[0027] Comparing the similarity with a preset similarity threshold, and determining a reflux adjustment factor based on the comparison result;

[0028] When data with a similarity greater than a similarity threshold exists in the historical data, determining the reflux adjustment factor according to the historical data;

[0029] When there is no data with a similarity greater than a similarity threshold in the historical data, the reflux adjustment factor is determined according to the similar set and real-time environment data.

[0030] Furthermore, when determining the reflux adjustment factor based on the historical data, it includes:

[0031] When there is only one data in the historical data whose similarity is greater than the similarity threshold, the historical reflux adjustment factor corresponding to the data is used as the reflux adjustment factor;

[0032] When there is more than one data in the historical data whose similarity is greater than the similarity threshold, the average of the historical reflux adjustment factors corresponding to the data is used as the reflux adjustment factor.

[0033] Furthermore, in determining the reflux adjustment factor according to the similar set and the real-time environmental data, obtaining the similar set includes:

[0034] The compressed gas volume, the primary gas enrichment volume and the historical data are used as the data set to be aggregated;

[0035] Extracting a historical reflux adjustment factor corresponding to each data in the to-be-aggregated data set;

[0036] Determine the expected number of clusters k as 2 and initialize the parameters of the Gaussian distribution;

[0037] Calculating the probability that each data in the to-be-aggregated data set belongs to each Gaussian distribution to obtain a responsibility value;

[0038] A data set corresponding to the compressed gas amount and the primary gas enrichment amount is obtained according to the responsibility value, and the data set is used as a close set.

[0039] Furthermore, when determining the reflux adjustment factor according to the similar set and real-time environmental data, it includes:

[0040] Obtaining a mean reflux adjustment factor in the similar set according to the similar set, collecting a real-time temperature and comparing the real-time temperature with a first preset temperature and a second preset temperature, wherein the first preset temperature is less than the second preset temperature, and adjusting the mean reflux adjustment factor according to the comparison result to obtain the reflux adjustment factor;

[0041] When the real-time temperature is less than or equal to a first preset temperature, determining a first adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor;

[0042] When the real-time temperature is greater than a first preset temperature and less than or equal to a second preset temperature, determining a second adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor;

[0043] When the real-time temperature is greater than a second preset temperature, determining a third adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor;

[0044] The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

[0045] Furthermore, when adjusting the gas reflux amount according to the reflux adjustment factor, it includes:

[0046] The gas reflux amount is proportional to the reflux adjustment factor.

[0047] Compared with the prior art, the beneficial effects of the present invention are: filtering the combustion flue gas and separating out solid impurities, which helps to remove particulate matter that affects the analysis, allowing subsequent gas processing to focus more on the separation and enrichment of carbon dioxide. By precisely controlling the reflux rate of the gas and performing low-temperature fractionation operations in the distillation tower, dynamic adjustment is achieved to reduce human errors and improve the stability and accuracy of the distillation. The multiple fractionation strategy is combined with real-time data feedback to improve the enrichment efficiency. The current compressed gas volume and the gas enrichment volume are collected and compared with historical data. The similarity calculation is used to determine whether the gas reflux rate needs to be adjusted, thereby achieving dynamic optimization based on real-time data. The storage and utilization of historical data helps to optimize operating parameters in the long term, quickly find appropriate adjustment strategies under new operating conditions, and improve efficiency and reliability. By analyzing the isotope ratios of C14, C13 and C12, the ratios of biogenic carbon and fossil carbon are distinguished. The comprehensiveness of the detection is improved, which is conducive to evaluating and monitoring the source of carbon emissions during the combustion process.

[0048] On the other hand, the present application also provides a biogenic carbon isotope enrichment system for applying the above-mentioned biogenic carbon isotope enrichment method, comprising:

[0049] A filtering device is used to filter the combustion flue gas and separate the solid sample to be tested;

[0050] Vacuum tank, used to compress the filtered flue gas;

[0051] A fractionating tower for low-temperature fractionation of compressed gas;

[0052] The control device includes a collection unit, a processing unit, an adjustment unit and a detection unit; wherein,

[0053] The collection unit is configured to collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison result;

[0054] The processing unit is configured to, when determining to adjust the gas reflux amount, compare the compressed gas amount and the gas primary enrichment amount with the historical data, and determine a reflux adjustment factor based on a similarity; when the similarity is higher than a similarity threshold, determine the reflux adjustment factor based on the historical data; when the similarity is lower than or equal to the similarity threshold, determine a similar set through a clustering algorithm, and determine the reflux adjustment factor based on the similar set and real-time environmental data;

[0055] The adjustment unit is configured to adjust the gas reflux amount according to the reflux adjustment factor, and perform low-temperature fractionation with the adjusted gas reflux amount to obtain a gas sample to be detected;

[0056] The detection unit is configured to store the compressed gas volume, the gas primary enrichment volume and the reflux adjustment factor, and perform carbon element detection on the solid sample to be detected and the gas sample to be detected to determine the biogenic carbon ratio.

[0057] It is understandable that the above-mentioned biogenic carbon isotope enrichment method system has the same beneficial effects and will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0059] Figure 1 A flow chart of a method for biogenic carbon isotope enrichment provided in an embodiment of the present invention;

[0060] Figure 2 This is a structural block diagram of the biogenic carbon isotope enrichment system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0061] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0062] Energy production and industrial activities generate large amounts of waste gas during combustion. These gases primarily consist of carbon dioxide and other gases, as well as solid particulate matter and impurities. With growing global concern about climate change and environmental protection, accurately measuring and monitoring carbon emissions has become increasingly important, particularly distinguishing the proportion of biogenic and fossil carbon in waste gas. Biomass absorbs carbon dioxide (C14) from the atmosphere during its growth, whereas in fossil fuels, this C14 is almost completely lost through radioactive decay. Therefore, measuring the C14 content in waste gas can determine the proportion of biogenic carbon. Biogenic carbon isotope analysis typically involves separating carbon dioxide from waste gas using cryogenic fractionation, followed by analysis of its carbon isotope ratios using accelerator mass spectrometry. However, in practice, adjustments to the recirculation rate often rely on operator experience, lacking a feedback mechanism for dynamic adjustments based on real-time conditions. This manual approach is susceptible to biases in experience and judgment, resulting in low stability and reliability of test results.

[0063] Therefore, it is necessary to design a method and system for biogenic carbon isotope enrichment to solve the problems existing in current technology.

[0064] In some embodiments of this application, see Figure 1 As shown, a method for biogenic carbon isotope enrichment comprises:

[0065] S100: Filter the combustion flue gas to separate the solid sample to be tested, and introduce the filtered flue gas into a vacuum tank for compression, and pass the compressed gas into a distillation tower for low-temperature fractionation.

[0066] S200: Collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison result.

[0067] S300: When it is determined that the gas reflux volume should be adjusted, the compressed gas volume and the primary gas enrichment volume are compared with historical data, and a reflux adjustment factor is determined based on the similarity. If the similarity exceeds a similarity threshold, the reflux adjustment factor is determined based on the historical data. If the similarity is less than or equal to the similarity threshold, a clustering algorithm is used to identify similar clusters, and the reflux adjustment factor is determined based on the similar clusters and real-time environmental data.

[0068] S400: adjusting the gas reflux rate according to the reflux adjustment factor, performing low-temperature fractionation with the adjusted gas reflux rate, and obtaining a gas sample to be tested.

[0069] S500: The compressed gas volume, the primary gas enrichment volume, and the reflux adjustment factor are stored, and carbon element detection is performed on the solid sample to be detected and the gas sample to be detected to determine the biogenic carbon ratio.

[0070] Specifically, the combustion flue gas is filtered to remove solid impurities and particulate matter, preventing interference with analytical results. The filtered flue gas is then compressed in a vacuum tank to reduce its volume, providing pretreatment for subsequent cryogenic fractionation. The compressed gas is then introduced into a fractionation tower, where cryogenic fractionation is used to further separate the carbon dioxide. This ensures effective enrichment of the carbon dioxide in the sample, thereby improving the accuracy of subsequent testing. During the compression and fractionation process, the compressed gas volume and the primary enrichment volume are collected in real time. The current collected data is compared with historical data to determine whether the gas reflux rate needs to be adjusted. This comparison identifies discrepancies between current and historical conditions, providing a basis for dynamic adjustment of the reflux rate. If adjustment of the gas reflux rate is necessary, the reflux adjustment factor is first determined by calculating the similarity between the current and historical data. A high similarity indicates that the current operation is similar to the historical data, and the reflux adjustment factor from the historical data can be directly used. When the similarity is below or equal to a threshold, a clustering algorithm is used to identify the set of historical data that most closely resembles the current operating conditions. Through cluster analysis, the data set closest to the current conditions is extracted from historical data, and combined with real-time environmental data to determine a more accurate reflux adjustment factor. The adaptability and accuracy under different operating conditions are enhanced. According to the determined reflux adjustment factor, the gas reflux rate in the distillation tower is dynamically adjusted. It is carried out according to the comprehensive analysis results of real-time data and historical best operations, ensuring that the distillation operation is carried out under the best conditions, thereby obtaining high-quality gas samples to be tested. The amount of compressed gas, the amount of gas enriched once, and the reflux adjustment factor in each operation are stored in detail. The separated solid samples and gas samples are subjected to detailed carbon element detection, and the ratio of C14, C13 and C12 is preferably analyzed by accelerator mass spectrometry. Through analysis, the ratio of biogenic carbon and fossil carbon can be accurately determined, providing an important basis for the precise monitoring and management of carbon emissions.

[0071] It's clear that the integration of multiple technologies, including filtration, compression, cryogenic fractionation, real-time data feedback, and intelligent adjustment, significantly improves the efficiency of separating and enriching carbon dioxide from combustion flue gases. Dynamic adjustment of the reflux rate not only optimizes fractionation, ensuring high-precision and reliable carbon isotope analysis, but also leverages historical and real-time environmental data for intelligent decision-making and adjustments, reducing the uncertainty associated with manual operation.

[0072] In some embodiments of the present application, when collecting the compressed gas volume and determining the gas reflux volume, it includes: comparing the compressed gas volume with a preset first preset gas volume and a second preset gas volume, the first preset gas volume is smaller than the second preset gas volume, and determining the gas reflux volume based on the comparison result.

[0073] Specifically, when the compressed gas volume is less than or equal to the first preset gas volume, the gas reflux volume is determined to be the first preset gas reflux volume. When the compressed gas volume is greater than the first preset gas volume and less than or equal to the second preset gas volume, the gas reflux volume is determined to be the second preset gas reflux volume. When the compressed gas volume is greater than the second preset gas volume, the gas reflux volume is determined to be the third preset gas reflux volume. The first preset gas reflux volume is less than the second preset gas reflux volume, and the second preset gas reflux volume is less than the third preset gas reflux volume.

[0074] It is understandable that the reflux flow adjustment is divided into multiple stages through the preset gas volume threshold. The segmented adjustment method can dynamically and accurately adjust the gas reflux flow according to different compressed gas volumes, thereby better adapting to different operating conditions. By setting multiple preset reflux flows, the fractionation efficiency and fractionation accuracy can be effectively balanced to avoid excessive or insufficient reflux adjustment. This not only improves the separation effect of low-temperature fractionation, but also ensures the accuracy and consistency of carbon isotope analysis, reduces human intervention, and enhances stability and reliability. The automated control method reduces dependence on manual experience.

[0075] In some embodiments of the present application, when judging whether to adjust the gas reflux amount based on the comparison results, it includes: the historical data includes the average of historical qualified data, the historical primary enrichment amount, the historical compressed gas amount and the historical reflux adjustment factor, and the historical primary enrichment amount, the historical reflux adjustment factor and the historical compressed gas amount correspond to each other; the gas primary enrichment amount is compared with the average of historical qualified data in the historical data, and whether to adjust the gas reflux amount is judged based on the comparison results.

[0076] Specifically, when the gas enrichment amount is less than the average of the historical qualified data in the historical data, it is determined that the gas reflux flow rate should be adjusted; when the gas enrichment amount is greater than or equal to the average of the historical qualified data in the historical data, it is determined that the gas reflux flow rate should not be adjusted, and low-temperature fractionation is completed according to the current gas reflux flow rate to obtain the gas sample to be tested.

[0077] It's understood that the mean value of historical qualified data can be set based on fractionation requirements and used as a judgment indicator, allowing for adjustments to be made during actual use. By using the mean value of historical qualified data as a reference, the accuracy and automation of gas reflux adjustment are improved. By comparing the current primary gas enrichment volume with the average value of historical successful operations, human judgment interference and errors are reduced, enhancing the system's adaptability to varying operating conditions. Furthermore, the mean value of historical qualified data serves as a dynamic benchmark, allowing for adjustments based on actual needs.

[0078] In some embodiments of the present application, when determining the reflux adjustment factor based on the similarity, the similarity is calculated using the following formula:

[0079]

[0080] Where S represents similarity, Y represents the normalized result of compressed gas volume, Y0 represents the normalized result of historical compressed gas volume, F represents the normalized result of gas primary enrichment volume, F0 represents the normalized result of historical primary enrichment volume, α and β represent weight coefficients, and α+β=1.

[0081] It should be understood that the data normalization results mentioned above are the result of processing the original data using a normalization equation to facilitate calculations with the same dimensions. By standardizing the compressed gas volume and gas primary enrichment, data under different operating conditions can be fairly compared, eliminating errors caused by differences in absolute values. The introduction of weight coefficients allows for flexible adjustment of the influence of compressed gas volume and gas primary enrichment in the similarity calculation based on specific application scenarios, further improving the accuracy and applicability of the adjustments.

[0082] In some embodiments of the present application, after determining the reflux adjustment factor according to the similarity, the method further includes: comparing the similarity with a preset similarity threshold, and determining the reflux adjustment factor according to the comparison result.

[0083] Specifically, when there is data with a similarity greater than a similarity threshold in the historical data, the reflux adjustment factor is determined based on the historical data. When there is no data with a similarity greater than the similarity threshold in the historical data, the reflux adjustment factor is determined based on the similarity set and the real-time environment data.

[0084] In some embodiments of the present application, when determining a reflux adjustment factor based on historical data, the method includes: when there is only one data item in the historical data with a similarity greater than a similarity threshold, using the historical reflux adjustment factor corresponding to the data item as the reflux adjustment factor. When there is not only one data item in the historical data with a similarity greater than the similarity threshold, using the average of the historical reflux adjustment factors corresponding to each data item as the reflux adjustment factor.

[0085] It is understandable that the degree of match between the current operating conditions and the historical successful conditions is determined by the similarity threshold. When historical data with a high degree of similarity is found, these data can be directly used to determine the reflux adjustment factor, thereby ensuring the reliability and consistency of the distillation operation. For situations where the current operating conditions do not completely match the historical data, the reflux factor is dynamically adjusted by clustering analysis of similar data sets and combining them with real-time environmental data. In response to changes in operating conditions, data-driven automated adjustments reduce reliance on human experience and intuition, reduce the uncertainty and operational risks brought about by human judgment, and thus improve the automation level of the system and the accuracy of the test results. By comprehensively utilizing a large amount of historical data, rich reference information is provided for the determination of the reflux adjustment factor, and it is possible to learn and optimize from historical experience, thereby continuously improving the accuracy and efficiency of operations.

[0086] In some embodiments of the present application, determining a reflux adjustment factor based on a similar set and real-time environmental data includes obtaining the similar set by: using the compressed gas volume, gas primary enrichment volume, and historical data as a dataset to be aggregated. Extracting the historical reflux adjustment factor corresponding to each data point in the dataset to be aggregated. Determining the expected number of clusters k to be 2 and initializing the parameters of a Gaussian distribution. Calculating the probability that each data point in the dataset to be aggregated belongs to each Gaussian distribution to obtain a responsibility value. Based on the responsibility value, obtaining a dataset corresponding to the compressed gas volume and gas primary enrichment volume, and using the dataset as a similar set.

[0087] In some embodiments of the present application, when determining the reflux adjustment factor based on the similar set and real-time environmental data, it includes: obtaining the average reflux adjustment factor in the similar set based on the similar set, collecting the real-time temperature and comparing the real-time temperature with the pre-set first preset temperature and the second preset temperature, the first preset temperature is lower than the second preset temperature, and adjusting the average reflux adjustment factor according to the comparison result to obtain the reflux adjustment factor.

[0088] Specifically, when the real-time temperature is less than or equal to a first preset temperature, a first adjustment coefficient is determined to adjust the mean of the reflux adjustment factors to obtain the reflux adjustment factor. When the real-time temperature is greater than the first preset temperature and less than or equal to a second preset temperature, a second adjustment coefficient is determined to adjust the mean of the reflux adjustment factors to obtain the reflux adjustment factor. When the real-time temperature is greater than the second preset temperature, a third adjustment coefficient is determined to adjust the mean of the reflux adjustment factors to obtain the reflux adjustment factor. The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

[0089] As can be understood, by analyzing historical data using a clustering algorithm to identify the historical data set that most closely matches the current operating conditions, the accuracy of the reflux adjustment factor is improved. The dynamic real-time temperature adjustment mechanism ensures adaptive adjustment of operating parameters under varying environmental conditions, thereby maintaining the stability and efficiency of the fractionation process. This reduces reliance on manual experience and judgment, reduces human error in operation, and enhances the automation and reliability of the overall system. Temperature directly affects gas density, viscosity, and volatility, which in turn influence fractionation efficiency and stability. By considering real-time temperature changes, the reflux rate can be precisely controlled, ensuring stable system operation under varying environmental conditions, optimizing energy and resource utilization, and improving the system's dynamic response to changing external conditions. Accurate calculation of the reflux adjustment factor avoids excessive or insufficient reflux adjustments, thereby optimizing resource utilization and reducing energy and material waste. Incorporating real-time temperature data for adjustment enhances the flexibility and real-time adaptability of the fractionation process, particularly when dealing with highly volatile operating environments.

[0090] In some embodiments of the present application, when the gas reflux amount is adjusted according to the reflux adjustment factor, it includes: the gas reflux amount is in direct proportion to the reflux adjustment factor.

[0091] Specifically, the gas reflux rate is adjusted according to the reflux adjustment factor K. Assuming that the basic reflux rate is L0, the adjusted gas reflux rate is determined to be L0*K. When a higher reflux rate is required, the reflux adjustment factor will be increased accordingly. By establishing a proportional relationship between the reflux rate and the reflux adjustment factor, precise control of the gas reflux rate is achieved during the low-temperature fractionation process. The amount of compressed gas in the distillation tower and the amount of gas enriched once are collected in real time. By calculating the reflux adjustment factor, the gas reflux rate is adjusted, making the fractionation process more efficient and accurate.

[0092] In the above embodiment, the combustion flue gas is filtered to separate solid impurities, which helps to remove particulate matter that affects the analysis, so that subsequent gas processing can focus more on the separation and enrichment of carbon dioxide. By precisely controlling the reflux rate of the gas and performing low-temperature fractionation operations in the distillation tower, dynamic adjustment is achieved to reduce human errors and improve the stability and accuracy of the distillation. The multiple fractionation strategy is combined with real-time data feedback to improve the enrichment efficiency. The current compressed gas volume and the gas enrichment volume are collected and compared with historical data. The similarity calculation is used to determine whether the gas reflux rate needs to be adjusted, thereby achieving dynamic optimization based on real-time data. The storage and use of historical data helps to optimize operating parameters in the long term, quickly find appropriate adjustment strategies under new operating conditions, and improve efficiency and reliability. By analyzing the isotope ratios of C14, C13 and C12, the ratios of biogenic carbon and fossil carbon are distinguished. The comprehensiveness of the detection is improved, which is conducive to evaluating and monitoring the source of carbon emissions during the combustion process.

[0093] In another preferred embodiment based on the above embodiment, refer to Figure 2 As shown, this embodiment provides a biogenic carbon isotope enrichment system for applying the above-mentioned biogenic carbon isotope enrichment method, comprising:

[0094] A filtering device is used to filter the combustion flue gas and separate the solid sample to be tested;

[0095] Vacuum tank, used to compress the filtered flue gas;

[0096] A fractionating tower for low-temperature fractionation of compressed gas;

[0097] The control device includes a collection unit, a processing unit, an adjustment unit and a detection unit; wherein,

[0098] The collection unit is configured to collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison result;

[0099] The processing unit is configured to, when determining to adjust the gas reflux amount, compare the compressed gas amount and the gas primary enrichment amount with historical data, and determine a reflux adjustment factor based on similarity; when the similarity is higher than a similarity threshold, determine the reflux adjustment factor based on the historical data; when the similarity is lower than or equal to the similarity threshold, determine a similar set through a clustering algorithm, and determine the reflux adjustment factor based on the similar set and real-time environmental data;

[0100] The adjustment unit is configured to adjust the gas reflux amount according to the reflux adjustment factor, and perform low-temperature fractionation with the adjusted gas reflux amount to obtain a gas sample to be tested;

[0101] The detection unit is configured to store the compressed gas volume, the gas primary enrichment volume and the reflux adjustment factor, and perform carbon element detection on the solid sample to be detected and the gas sample to be detected to determine the biogenic carbon ratio.

[0102] It's understandable that filtering combustion flue gas to separate solid impurities helps remove particulate matter that can interfere with analysis, allowing subsequent gas processing to focus more on CO2 separation and enrichment. By precisely controlling the gas reflux rate and performing low-temperature fractionation in a distillation tower, dynamic adjustment reduces human error and improves fractionation stability and accuracy. A multiple fractionation strategy combined with real-time data feedback improves enrichment efficiency. The current compressed gas volume and primary enrichment volume are collected and compared with historical data. Similarity calculations determine whether adjustments to the gas reflux rate are necessary, enabling dynamic optimization based on real-time data. The storage and utilization of historical data facilitates long-term optimization of operating parameters, allowing for rapid identification of appropriate adjustment strategies under new operating conditions, improving efficiency and reliability. By analyzing the isotopic ratios of C14, C13, and C12, the proportion of biogenic and fossil carbon can be distinguished. This improves the comprehensiveness of detection and facilitates the assessment and monitoring of the sources of carbon emissions during combustion.

[0103] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0105] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for enriching carbon isotopes from biological sources, characterized in that: include: The combustion flue gas is filtered to separate the solid sample to be tested, and the filtered flue gas is introduced into a vacuum tank for compression, and the compressed gas is passed into a distillation tower for low-temperature fractionation; Collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison results; When it is determined that the gas reflux amount is to be adjusted, the compressed gas amount and the gas primary enrichment amount are compared with the historical data, and a reflux adjustment factor is determined based on the similarity; When the similarity is higher than a similarity threshold, determining the reflux adjustment factor according to the historical data; When the similarity is lower than or equal to the similarity threshold, a similar set is determined by a clustering algorithm, and the reflux adjustment factor is determined according to the similar set and the real-time environmental data; Adjusting the gas reflux rate according to the reflux adjustment factor, performing low-temperature fractionation with the adjusted gas reflux rate to obtain a gas sample to be tested; The compressed gas volume, the primary gas enrichment volume, and the reflux adjustment factor are stored, and the solid sample to be tested and the gas sample to be tested are subjected to carbon element detection to determine the biogenic carbon ratio; When determining the reflux adjustment factor based on the similarity, the similarity is calculated using the following formula: Wherein, S represents similarity, Y represents the normalized result of compressed gas volume, Y0 represents the normalized result of historical compressed gas volume, F represents the normalized result of gas primary enrichment volume, F0 represents the normalized result of historical primary enrichment volume, α and β represent weight coefficients, and α+β=1.

2. The method for biogenic carbon isotope enrichment according to claim 1, characterized in that: When collecting compressed gas volume and determining gas return volume, it includes: Comparing the compressed gas volume with a first preset gas volume and a second preset gas volume, where the first preset gas volume is less than the second preset gas volume, and determining the gas reflux volume according to the comparison result; When the compressed gas amount is less than or equal to the first preset gas amount, determining the gas reflux amount to be the first preset gas reflux amount; When the compressed gas amount is greater than the first preset gas amount and less than or equal to the second preset gas amount, determining the gas reflux amount to be the second preset gas reflux amount; When the compressed gas amount is greater than the second preset gas amount, determining the gas reflux amount to be a third preset gas reflux amount; The first preset gas reflux flow rate is smaller than the second preset gas reflux flow rate, and the second preset gas reflux flow rate is smaller than the third preset gas reflux flow rate.

3. The method for biogenic carbon isotope enrichment according to claim 1, wherein: When judging whether to adjust the gas reflux rate according to the comparison result, it includes: The historical data includes the historical qualified data mean, the historical primary enrichment amount, the historical compressed gas amount and the historical reflux adjustment factor, and the historical primary enrichment amount and the historical reflux adjustment factor correspond to the historical compressed gas amount; Comparing the primary enrichment amount of the gas with the average of the historical qualified data in the historical data, and determining whether to adjust the gas reflux amount according to the comparison result; When the primary enrichment amount of the gas is less than the average value of the historical qualified data in the historical data, it is determined that the gas reflux amount should be adjusted; When the primary enrichment amount of the gas is greater than or equal to the average of the historical qualified data in the historical data, it is determined that the gas reflux amount is not adjusted, and low-temperature fractionation is performed according to the current gas reflux amount to obtain the gas sample to be tested.

4. The method for biogenic carbon isotope enrichment according to claim 3, wherein: After determining the reflux adjustment factor based on similarity, it also includes: Comparing the similarity with a preset similarity threshold, and determining a reflux adjustment factor based on the comparison result; When data with a similarity greater than a similarity threshold exists in the historical data, determining the reflux adjustment factor according to the historical data; When there is no data with a similarity greater than a similarity threshold in the historical data, the reflux adjustment factor is determined according to the similar set and real-time environment data.

5. The method for biogenic carbon isotope enrichment according to claim 4, characterized in that: When determining the reflux adjustment factor based on the historical data, the method includes: When there is only one data in the historical data whose similarity is greater than the similarity threshold, the historical reflux adjustment factor corresponding to the data is used as the reflux adjustment factor; When there is more than one data in the historical data whose similarity is greater than the similarity threshold, the average of the historical reflux adjustment factors corresponding to the data is used as the reflux adjustment factor.

6. The method for biogenic carbon isotope enrichment according to claim 5, characterized in that: In determining the reflux adjustment factor according to the close set and the real-time environmental data, obtaining the close set includes: The compressed gas volume, the primary gas enrichment volume and the historical data are used as the data set to be aggregated; Extracting a historical reflux adjustment factor corresponding to each data in the to-be-aggregated data set; Determine the expected number of clusters k as 2 and initialize the parameters of the Gaussian distribution; Calculating the probability that each data in the to-be-aggregated data set belongs to each Gaussian distribution to obtain a responsibility value; A data set corresponding to the compressed gas amount and the primary gas enrichment amount is obtained according to the responsibility value, and the data set is used as a close set.

7. The method for biogenic carbon isotope enrichment according to claim 6, characterized in that: Determining the reflux adjustment factor according to the proximity set and real-time environmental data includes: Obtaining a mean reflux adjustment factor in the similar set according to the similar set, collecting a real-time temperature and comparing the real-time temperature with a first preset temperature and a second preset temperature, wherein the first preset temperature is less than the second preset temperature, and adjusting the mean reflux adjustment factor according to the comparison result to obtain the reflux adjustment factor; When the real-time temperature is less than or equal to a first preset temperature, determining a first adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor; When the real-time temperature is greater than a first preset temperature and less than or equal to a second preset temperature, determining a second adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor; When the real-time temperature is greater than a second preset temperature, determining a third adjustment coefficient to adjust the mean of the reflux adjustment factor to obtain the reflux adjustment factor; The first adjustment coefficient is smaller than the second adjustment coefficient, and the second adjustment coefficient is smaller than the third adjustment coefficient.

8. The method for biogenic carbon isotope enrichment according to claim 7, characterized in that: Adjusting the gas reflux amount according to the reflux adjustment factor includes: The gas reflux amount is proportional to the reflux adjustment factor.

9. A biogenic carbon isotope enrichment system, used for applying the biogenic carbon isotope enrichment method according to any one of claims 1 to 8, characterized in that: include: A filtering device is used to filter the combustion flue gas and separate the solid sample to be tested; Vacuum tank, used to compress the filtered flue gas; A fractionating tower for low-temperature fractionation of compressed gas; The control device includes a collection unit, a processing unit, an adjustment unit and a detection unit; wherein, The collection unit is configured to collect the compressed gas volume and determine the gas reflux volume, collect the gas primary enrichment volume and compare it with historical data, and determine whether to adjust the gas reflux volume based on the comparison result; The processing unit is configured to, when determining to adjust the gas reflux amount, compare the compressed gas amount and the gas primary enrichment amount with the historical data, and determine a reflux adjustment factor based on a similarity; when the similarity is higher than a similarity threshold, determine the reflux adjustment factor based on the historical data; when the similarity is lower than or equal to the similarity threshold, determine a similar set through a clustering algorithm, and determine the reflux adjustment factor based on the similar set and real-time environmental data; The adjustment unit is configured to adjust the gas reflux amount according to the reflux adjustment factor, and perform low-temperature fractionation with the adjusted gas reflux amount to obtain a gas sample to be detected; The detection unit is configured to store the compressed gas volume, the gas primary enrichment volume and the reflux adjustment factor, and perform carbon element detection on the solid sample to be detected and the gas sample to be detected to determine the biogenic carbon ratio.

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