Method and device for evaluating adsorption performance of oxygen production molecular sieve

Abstract

The invention discloses an adsorption performance evaluation method and device of an oxygen production molecular sieve, and relates to the technical field of gas adsorption separation, the method comprises the following steps: obtaining an environmental influence parameter set of oxygen adsorption and purification of the oxygen production molecular sieve, and constructing a multi-parameter space; randomly generating a first environment influence parameter group in the space, and performing iterative search, adjustment and cross update to obtain a plurality of environment parameter groups; carrying out an adsorption test based on the parameter groups to obtain an adsorption test parameter set; carrying out maximization and standardization processing on the data, constructing an adsorption test matrix and calculating scores; and calculating an adsorption performance evaluation result of the oxygen production molecular sieve according to the plurality of scores, and giving a weight according to the actual frequency and the search frequency of the environment parameter group and the deviation between the environment parameter group and the preset parameter group for final calculation. Therefore, the technical effects of improving the flexibility of the evaluation process and improving the reference value of the evaluation result are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of gas adsorption separation, and particularly to a method and device for evaluating the adsorption performance of oxygen-making molecular sieves. Background Art

[0002] In the process of oxygen purification, oxygen-making molecular sieves, as a key material, have wide applications. Existing methods for evaluating the performance of oxygen molecular sieves often only focus on the adsorption performance under specific conditions and lack comprehensive consideration of various environmental factors. It is difficult to comprehensively and accurately evaluate the adsorption performance of molecular sieves. There are technical problems such as large evaluation limitations and low reference value of the results. Summary of the Invention

[0003] The present invention provides a method and device for evaluating the adsorption performance of oxygen-making molecular sieves to solve the technical problems of large evaluation limitations and low reference value of the results in the prior art, and to achieve the technical effects of improving the flexibility of the evaluation process and enhancing the reference value of the evaluation results.

[0004] In a first aspect, the present invention provides a method for evaluating the adsorption performance of oxygen-making molecular sieves, wherein the method includes: Obtaining a parameter set of multiple types of environmental impact parameters for adsorbing and purifying oxygen using oxygen-making molecular sieves, and constructing multiple environmental impact parameter spaces; randomly generating multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and performing iterative search for adjustment and cross-update according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups; respectively performing adsorption tests on the oxygen-making molecular sieves in the multiple environmental impact parameter groups in sequence to obtain multiple adsorption test parameter sets; performing maximization and standardization processing on the multiple adsorption test parameter sets, constructing an impact adsorption test matrix, and calculating test scores to obtain multiple test scores; calculating and obtaining an evaluation result of the adsorption performance of the oxygen-making molecular sieves according to the multiple test scores, wherein weights are set for calculation according to the occurrence frequencies of the multiple environmental impact parameter groups in actual adsorption operations, the occurrence frequencies in the search process, and the deviation from the preset environmental impact parameter group.

[0005] In a second aspect, the present invention further provides a device for evaluating the adsorption performance of oxygen-making molecular sieves, wherein the device includes: A parameter space construction module, which is used to obtain a parameter set of multiple types of environmental impact parameters for adsorbing and purifying oxygen using oxygen-making molecular sieves, and construct multiple environmental impact parameter spaces.

[0006] A parameter organization module, which is used to randomly generate multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and perform iterative search for adjustment and cross-update according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups.

[0007] An adsorption test execution module, which is used to perform adsorption tests on the oxygen - making molecular sieve in sequence under the multiple groups of environmental impact parameters, and obtain multiple sets of adsorption test parameters.

[0008] A processing and scoring module, which is used to perform maximization and standardization processing on the multiple sets of adsorption test parameters, construct an impact adsorption test matrix, calculate the test scores, and obtain multiple test scores.

[0009] An adsorption performance evaluation and calculation module, which is used to calculate the adsorption performance evaluation result of the oxygen - making molecular sieve according to the multiple test scores. Among them, weights are set for calculation according to the occurrence frequency of the multiple groups of environmental impact parameters in actual adsorption operations, the occurrence frequency in the search process, and the deviation from the preset environmental impact parameter group.

[0010] The present invention discloses a method and device for evaluating the adsorption performance of an oxygen - making molecular sieve, including: acquiring and collecting multiple types of environmental impact parameters when using the oxygen - making molecular sieve for oxygen adsorption and purification, forming a parameter set, and constructing multiple environmental impact parameter spaces; randomly generating multiple initial first environmental impact parameter groups within these environmental impact parameter spaces, and performing iterative adjustment and cross - update through a preset environmental parameter group to finally obtain multiple groups of environmental impact parameters; performing adsorption performance tests on the oxygen - making molecular sieve in sequence under each group of environmental impact parameters, and collecting and generating multiple sets of adsorption test parameters; performing maximization and standardization processing on these sets of adsorption test parameters, constructing an adsorption test impact matrix, and calculating test scores based on this matrix to obtain multiple test score results; calculating the adsorption performance evaluation value of the oxygen - making molecular sieve according to each test score result, where the occurrence frequency of each group of environmental impact parameters in actual operations, the occurrence frequency in the search process, and the deviation from the preset parameter group are comprehensively considered, and evaluation calculations are performed by setting weights. The method and device for evaluating the adsorption performance of an oxygen - making molecular sieve disclosed by the present invention solve the technical problems of large evaluation limitations and low reference value of the results, and achieve the technical effects of improving the flexibility of the evaluation process and enhancing the reference value of the evaluation results. Description of the Drawings

[0011] Figure 1 It is a schematic flowchart of a method for evaluating the adsorption performance of an oxygen - making molecular sieve according to the present invention; Figure 2 It is a schematic structural diagram of a device for evaluating the adsorption performance of an oxygen - making molecular sieve according to the present invention.

[0012] Description of the reference numerals: Parameter space construction module 11, parameter organization module 12, adsorption test execution module 13, processing and scoring module 14, adsorption performance evaluation and calculation module 15. Specific Embodiments

[0013] In the technical solution provided in the embodiments of the present invention, to solve the technical problems of large evaluation limitations and low reference value of results existing in the prior art, the overall idea adopted is as follows: First, obtain various environmental impact parameters for adsorbing and purifying oxygen using oxygen-making molecular sieves, and construct multiple environmental impact parameter spaces; then, randomly generate multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and perform iterative search with adjustment and cross-update according to the preset environmental impact parameter groups to obtain multiple environmental impact parameter groups; then, respectively perform adsorption tests on the oxygen-making molecular sieves under the multiple environmental impact parameter groups to obtain multiple adsorption test parameter sets; next, perform maximization and standardization processing on the multiple adsorption test parameter sets, construct an impact adsorption test matrix, and perform test score calculation to obtain multiple test scores; furthermore, calculate the adsorption performance evaluation result of the oxygen-making molecular sieve according to the multiple test scores; finally, set weights for calculation according to the occurrence frequency of the multiple environmental impact parameter groups in actual adsorption operations, the occurrence frequency in the search process, and the deviation from the preset environmental impact parameter groups, and finally complete the evaluation of the adsorption performance.

[0014] The above technical solution will be described in detail below in combination with the specification drawings and specific embodiments to better understand the above technical solution. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited to the example embodiments only used to explain the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention. In addition, it should be noted that for the convenience of description, only parts related to the present invention are shown in the drawings rather than all of them.

[0015] Embodiment 1 Figure 1 It is a flow schematic diagram of an adsorption performance evaluation method for an oxygen-making molecular sieve of the present invention. Among them, the method includes: Obtain a parameter set of various environmental impact parameters for adsorbing and purifying oxygen using an oxygen-making molecular sieve, and construct multiple environmental impact parameter spaces.

[0016] Specifically, during the process of using an oxygen-making molecular sieve to adsorb and purify oxygen, different environmental factors will have a significant impact on the adsorption performance of the molecular sieve. Among them, various environmental impact parameters are environmental condition parameters that affect the adsorption effect, such as temperature, humidity, pollutants, and recycling parameters (recycling frequency or total number, etc.).

[0017] In some embodiments, a parameter set of multiple environmental impact parameters for adsorptive purification of oxygen using an oxygen production molecular sieve is obtained, and multiple environmental impact parameter spaces are constructed, including: A parameter set of multiple environmental impact parameters for adsorptive purification of oxygen using an oxygen production molecular sieve is obtained, where the multiple environmental impact parameters include temperature parameters, humidity parameters, pollutant parameters, and cyclic use parameters of the oxygen production molecular sieve. Multiple environmental impact parameter spaces are constructed according to the multiple parameter sets of the multiple environmental impact parameters.

[0018] Specifically, the main environmental impact parameters include: Temperature. The adsorption efficiency of the molecular sieve is very sensitive to temperature changes. At higher or lower temperatures, the adsorption capacity of the molecular sieve may decrease. Therefore, it is necessary to monitor and control the temperature of the surrounding environment during the oxygen production process. Humidity, humidity also has a greater impact on the adsorption performance of the molecular sieve. Water molecules in the air may compete for adsorption sites, reducing the oxygen purification ability of the molecular sieve. Pollutants, pollutants in the air such as dust, chemical gases, etc., may block the pores of the molecular sieve and affect the adsorption effect. Cyclic use parameters, the usage frequency and total number of times of the molecular sieve will also affect its adsorption capacity. As the number of cycles increases, the adsorption efficiency of the molecular sieve will gradually decrease.

[0019] Specifically, through big data means, in combination with sensors or monitoring devices, the specific values of environmental impact parameters in multiple scenarios related to the target oxygen production molecular sieve are obtained. Optionally, the parameter set of multiple environmental impact parameters can also be determined based on the design target data of the target oxygen production molecule.

[0020] Specifically, the environmental impact parameter space is a multi-dimensional space jointly defined by multiple environmental factors (such as temperature, humidity, pollutants, cyclic use parameters). In this space, different space points correspond to different parameter combinations. In other words, multiple dimensions in the environmental impact parameter space correspond to multiple environmental factors. And multiple environmental impact parameter spaces correspond to the set of parameter combinations and environmental states that may occur in multiple application scenarios. Exemplarily, the application scenarios include industrial scenarios, medical scenarios, water treatment scenarios, environmental monitoring scenarios, and portable device scenarios. By constructing multiple environmental impact parameter spaces through the above steps, a reasonable selection space is provided for the subsequent selection of environmental parameter combinations.

[0021] In the multiple environmental impact parameter spaces, multiple first environmental impact parameter groups are randomly generated, and iterative search for adjustment and cross-update is performed according to the preset environmental impact parameter groups to obtain multiple environmental impact parameter groups.

[0022] Specifically, the environmental impact parameter group is composed of specific value combinations of multiple environmental factors, such as temperature, humidity, pollutant concentration, recycling parameters, etc. Each parameter group represents a set of specific environmental conditions when the molecular sieve works. Multiple first environmental impact parameter groups are randomly selected and generated from multiple environmental impact parameter spaces as the starting points for iterative search for further optimization. Optionally, the first environmental impact parameter group can be a realistic or unrealistic parameter combination point in the environmental impact parameter space.

[0023] In some embodiments, in the multiple environmental impact parameter spaces, multiple first environmental impact parameter groups are randomly generated, and iterative search for adjustment and cross-update is performed according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups, including: Within the multiple environmental impact parameter spaces, parameters of multiple types of environmental impact parameters are randomly selected and combined to obtain multiple first environmental impact parameter groups. A preset environmental impact parameter group is obtained. Taking the preset environmental impact parameter group as the adjustment direction, iterative search for adjustment and cross-update is performed on the multiple first environmental impact parameter groups. After the iteration ends, multiple environmental impact parameter groups obtained by the search are obtained.

[0024] Optionally, exemplarily, a randomization algorithm (such as the Monte Carlo algorithm or a random number generator) is used to generate multiple initial parameter combinations within the range of multiple environmental impact parameter spaces to ensure extensive exploration of different environmental conditions.

[0025] Specifically, the preset environmental impact parameter group represents the target range or benchmark for the optimization search. By comparing with the randomly generated environmental impact parameter groups, the parameters can be gradually adjusted to approach the target environment. Optionally, the preset environmental impact parameter group can be the typical working environment of the target oxygen-producing molecular sieve, the ideal working environment in the design, or the statistical center of the actual environmental state of the design target scenario.

[0026] Specifically, taking the preset environmental impact parameter group as the adjustment direction, iterative search for adjustment and cross-update of multiple first environmental impact parameter groups includes: in each iteration, each randomly generated environmental impact parameter group is finely adjusted, and the numerical value of each parameter is gradually optimized. For example, the temperature is adjusted from 30°C to 25°C, and the humidity is adjusted from 50% to 40% to find a better parameter combination. The adjustment step size can be dynamically set according to the sensitivity of the parameter. The parameters of two or more environmental impact parameter groups are exchanged or recombined to obtain more potential environmental combinations and generate new parameter groups. For example, the temperature of one group is exchanged with the humidity of another group to form a new parameter group.

[0027] Optionally, during the iterative search process, multiple identical environmental impact parameter groups may be generated. At this time, the identical parameter groups are identified and filtered, and only one representative is retained.

[0028] Optionally, while identifying and filtering multiple identical sets of environmental impact parameters, count the number of times each set of environmental impact parameters is generated during the search. The higher the frequency of a parameter set indicates that it has been found multiple times during the optimization process, which may mean that this set of environmental conditions has higher stability or is applicable within a larger range.

[0029] Specifically, through an iterative process of continuous adjustment and cross-update, after multiple iterative searches, obtain more optimal sets of environmental impact parameters. These sets of environmental impact parameters comprehensively consider the design characteristics of the target oxygen-producing molecular sieve and the actual characteristics of the target application scenario. The performance evaluation based on these sets of environmental impact parameters can better reflect the performance of the target oxygen-producing molecular sieve.

[0030] In some implementation manners, an iterative search for adjusting and cross-updating the multiple first sets of environmental impact parameters in the direction of the preset set of environmental impact parameters includes: Taking the multiple preset environmental impact parameters within the preset set of environmental impact parameters as the adjustment directions, and using the adjustment step sizes of multiple types of environmental impact parameters, respectively adjust the first environmental impact parameters within the multiple first sets of environmental impact parameters to obtain multiple second sets of environmental impact parameters. Randomly select a random number of environmental impact parameters within the multiple first sets of environmental impact parameters and the multiple second sets of environmental impact parameters for cross-update to obtain multiple third sets of environmental impact parameters. Taking the preset set of environmental impact parameters as the adjustment direction, continue the iterative search for adjusting and cross-updating the multiple third sets of environmental impact parameters until the preset number of iterative searches is reached.

[0031] Specifically, use the preset set of environmental impact parameters as the adjustment direction to guide the randomly generated parameter sets to gradually approach these parameter combinations representing the typical environment of the target scenario. To ensure that the parameter sets gradually approach the preset target, each environmental impact parameter is set with a corresponding adjustment step size. The adjustment step size determines the amplitude of the parameter value change in each iteration. After adjustment, each first set of environmental impact parameters will generate a corresponding second set of environmental impact parameters, and the various environmental parameters of these second parameter sets gradually approach the preset values.

[0032] Optionally, the step size is dynamically set according to the importance and influence of the corresponding parameter. In addition, if the current environmental parameter has a large gap from the preset value, the step size can be larger to allow for rapid adjustment. When the parameter approaches the target value, the step size will decrease to ensure the precision of fine-tuning.

[0033] Specifically, some parameters are randomly selected from multiple first and second environmental impact parameter groups for cross-update. Such parameter exchange generates new combinations of environmental parameters, thereby further expanding the search scope, avoiding being trapped in local optimal solutions, and ensuring the diversity and richness of the parameter groups.

[0034] Exemplarily, first, some parameter groups are randomly selected from multiple first and second environmental impact parameter groups. Then, several environmental impact parameters are randomly selected from these parameter groups for exchange. For example, the temperature value is extracted from one parameter group, the humidity value is extracted from another parameter group, and they are combined to generate a new environmental impact parameter group, which is output as the third environmental impact parameter group.

[0035] Furthermore, taking the preset environmental impact parameter group as the adjustment direction, the third environmental impact parameter group is continuously adjusted and cross-updated. After each iteration, each parameter of the parameter group will get closer to the preset value, gradually approaching the ideal working conditions. Among them, when performing iterative search, there is a preset number of iterations or a convergence criterion. The setting of the number of iterations is based on actual needs. Exemplarily, when no significantly optimized parameter group is found within a certain number of times or when the difference degree of the parameter group is lower than a certain threshold, the adjustment stops.

[0036] Through the above method steps, when the preset number of iterations is satisfied or the convergence condition is met, the iterative search process stops. At this time, the environmental impact parameter group generated through multiple rounds of adjustment and cross-update has the best representativeness and interpretability for the adsorption performance of the target oxygen production molecular sieve.

[0037] Under the multiple environmental impact parameter groups respectively, the oxygen production molecular sieve is successively subjected to adsorption tests to obtain multiple sets of adsorption test parameters.

[0038] Specifically, in the foregoing iterative search and cross-update process, multiple different environmental impact parameter groups have been obtained. These parameter groups represent different combinations of environmental conditions, including temperature, humidity, pollutant concentration, and number of recycling times, etc. Furthermore, adsorption tests are carried out under these different environmental impact parameter groups to comprehensively understand the adsorption performance of the oxygen production molecular sieve under different environmental conditions.

[0039] In some embodiments, under the multiple environmental impact parameter groups respectively, the oxygen production molecular sieve is successively subjected to adsorption tests to obtain multiple sets of adsorption test parameters, including: Using the first environmental impact parameter group within the multiple environmental impact parameter groups, the oxygen production molecular sieve is subjected to an adsorption test to obtain the first set of adsorption test parameters. Among them, the adsorption test parameter set includes adsorption capacity, selective adsorption coefficient, adsorption rate, and cyclic adsorption decay coefficient. Continue to use other environmental impact parameter groups for adsorption tests to obtain multiple sets of adsorption test parameters.

[0040] Specifically, first, according to the parameter values in each environmental impact parameter group, adjust the temperature, humidity, pollutant concentration of the test environment, and the recycling state of the molecular sieve to ensure that the test conditions match the settings in the parameter group. Then, under the set environmental conditions, pass air through the oxygen-producing molecular sieve for oxygen adsorption and purification, and record the performance of the molecular sieve in different test environments in real time.

[0041] Specifically, the adsorption test parameter set is used to measure the adsorption performance of the oxygen-producing molecular sieve under specific environmental conditions. The adsorption test parameter set includes the following key indicators: Adsorption capacity, which refers to the amount of nitrogen that the molecular sieve can adsorb under specific conditions. The size of the adsorption capacity directly reflects the working efficiency of the molecular sieve in different environments, and the unit is usually grams (g) of nitrogen per gram (g) of molecular sieve. Selective adsorption coefficient, which represents the selective adsorption ability of the molecular sieve for oxygen, that is, in the case of a mixture of oxygen and other gases (such as nitrogen, carbon dioxide, etc.), the degree to which the molecular sieve preferentially adsorbs nitrogen. The higher the selective adsorption coefficient, the better the purification effect of the molecular sieve on oxygen. Adsorption rate, which represents the speed at which the molecular sieve adsorbs nitrogen. The adsorption rate is closely related to environmental conditions. For example, an increase in temperature or humidity may affect the adsorption rate of the molecular sieve. This parameter is usually expressed as the amount of nitrogen adsorbed per unit time (such as g / min). Cyclic adsorption decay coefficient, which reflects the performance decay of the molecular sieve after multiple uses. After multiple adsorption and desorption cycles, the adsorption capacity of the molecular sieve may decrease. A lower decay coefficient indicates that the molecular sieve has a longer service life. Under each environmental impact parameter group, collect the above four adsorption test parameters in real time as the adsorption performance data under the specific environmental conditions.

[0042] Optionally, measure the amount of oxygen adsorbed by the molecular sieve per unit time and calculate the total oxygen adsorption capacity for the adsorption capacity test. This involves using a mass flow meter and a gas analyzer to determine the oxygen adsorption amount.

[0043] Optionally, measure the ratio of oxygen adsorbed by the molecular sieve to other gases (such as nitrogen, carbon dioxide, etc.) through gas chromatography analysis, and then calculate the selective adsorption ability of the molecular sieve for nitrogen to determine the selective adsorption coefficient.

[0044] Optionally, use a mass flow meter or a pressure sensor to measure and record the amount of oxygen adsorbed per unit time to obtain the adsorption rate of the molecular sieve.

[0045] Optionally, conduct multiple adsorption-desorption cycle tests, record the capacity change of the molecular sieve after each adsorption, and calculate the cyclic adsorption decay coefficient. Among them, the decay coefficient is expressed as the percentage of the adsorption capacity relative to the initial capacity.

[0046] Specifically, after completing the test of the first set of environmental impact parameters, continue to use other sets of environmental impact parameters in sequence to conduct adsorption tests on the oxygen-making molecular sieve. Each parameter set corresponds to a different combination of environmental conditions, and the test steps are the same as those of the first parameter set. Under each set of environmental impact parameters, an independent set of adsorption test parameters will be generated, recording the adsorption capacity, selective adsorption coefficient, adsorption rate, and cyclic adsorption decay coefficient of the molecular sieve under this condition, which is used to comprehensively evaluate the performance of the molecular sieve in different environments and provides a detailed performance analysis of the target oxygen-making molecular sieve under different environmental conditions.

[0047] Perform maximization and standardization processing on the multiple sets of adsorption test parameters, construct an adsorption test matrix of influence, perform test score calculation, and obtain multiple test scores.

[0048] Specifically, in order to ensure that each key index (adsorption capacity, selective adsorption coefficient, adsorption rate, etc.) in the set of adsorption test parameters can reflect the best performance of the molecular sieve, it is first necessary to perform maximization processing on these parameters. The larger the multiple parameters in the adsorption test, the better the performance of the target molecular sieve is characterized. Therefore, maximization processing helps to unify the scoring object for subsequent score calculation.

[0049] In some embodiments, perform maximization and standardization processing on the multiple sets of adsorption test parameters, construct an adsorption test matrix of influence, perform test score calculation, and obtain multiple test scores, including: Perform maximization processing on the cyclic adsorption decay coefficient in the multiple sets of adsorption test parameters, and perform standardization processing on the multiple sets of adsorption test parameters after maximization processing to obtain multiple processed sets of adsorption test parameters. Based on the multiple processed sets of adsorption test parameters, construct an adsorption test matrix of influence as follows: 。

[0050] Among them, Z is the adsorption test matrix of influence, n is the number of multiple sets of environmental impact parameters, is the processed adsorption capacity parameter in the first processed set of adsorption test parameters obtained from the adsorption test under the first set of environmental impact parameters, is the processed cyclic adsorption decay coefficient in the first processed set of adsorption test parameters, is the processed adsorption capacity parameter in the nth processed set of adsorption test parameters obtained from the adsorption test under the nth set of environmental impact parameters, is the processed cyclic adsorption decay coefficient in the nth processed set of adsorption test parameters.

[0051] According to the adsorption test matrix of influence, perform test score calculation to obtain multiple test scores as follows: ; Among them, is the test score for the i-th environmental impact parameter group, is the j-th treatment adsorption test parameter in the set of treatment adsorption test parameters obtained from the adsorption test under the i-th environmental impact parameter group, and are the maximum and minimum values among the j-th type of treatment adsorption test parameters in the adsorption test matrix, is the weight of the j-th treatment adsorption test parameter in calculating the test score.

[0052] Specifically, the adsorption capacity, selective adsorption coefficient, and adsorption rate are positive indicators in themselves, that is, the larger the value, the better the adsorption performance of the molecular sieve. Therefore, no additional conversion is required, and the original numerical values can be directly used. The cyclic adsorption decay coefficient is a negative indicator, indicating the performance decay of the molecular sieve (the smaller the value, the better). Therefore, it needs to be converted to meet the maximization requirement for subsequent processing together with other positive indicators.

[0053] Specifically, since the numerical ranges and dimensions of the adsorption capacity, selective adsorption coefficient, adsorption rate, and the converted cyclic adsorption decay coefficient are different, these parameters need to be standardized to remove the dimension, so that different parameters can be comprehensively compared and calculated. Optionally, the standardization methods include Z-Score standardization, Min-Max standardization, etc.

[0054] Furthermore, after the standardization process, an adsorption test matrix is constructed based on different sets of adsorption test parameters. Each row in this matrix corresponds to the test results under an environmental impact parameter group, and each column corresponds to different categories of standardized adsorption test parameters (i.e., adsorption capacity, selective adsorption coefficient, adsorption rate, cyclic adsorption decay coefficient). By constructing this matrix, the structural conversion of the molecular sieve performance test parameters under various environmental conditions is achieved, which helps the subsequent scoring evaluation.

[0055] Specifically, the test scores are calculated for multiple environmental impact parameter groups to obtain a set of score results, and each score corresponds to a specific environmental impact parameter group. The parameter group with a higher score indicates that the molecular sieve performs better under this environmental condition.

[0056] Optionally, the weight of the j-th treatment adsorption test parameter in calculating the test score It can be determined based on the contribution degree of the j-th processed adsorption test parameter to the total adsorption amount of the target oxygen generation molecular sieve, the contribution degree to the oxygen generation performance (the impact on the efficiency and quality of the entire oxygen generation process), and the active control difficulty (whether it is easy to control and adjust in actual operation). Such a weight setting strategy not only considers the contributions of various parameters to the total adsorption amount and oxygen generation performance, but also considers the controllability of the parameters in actual operation, ensuring that the generated environmental impact parameter group has the best representativeness and interpretability for the adsorption performance of the target oxygen generation molecular sieve.

[0057] Through the above method steps, by constructing an impact adsorption test matrix and score calculation, the performance of the molecular sieve under different environmental conditions can be accurately evaluated, and a quantitative result representation can be obtained.

[0058] According to the multiple test scores, an evaluation result of the adsorption performance of the oxygen generation molecular sieve is calculated, wherein weights are set for calculation according to the occurrence frequency of the multiple environmental impact parameter groups in the actual adsorption operation, the occurrence frequency in the search process, and the deviation from the preset environmental impact parameter group.

[0059] Specifically, according to the occurrence frequency of the multiple environmental impact parameter groups in the actual adsorption operation, the occurrence frequency in the search process, and the deviation from the preset environmental impact parameter group, triple weights are set and comprehensively normalized to obtain multiple comprehensive weights, and the multiple test scores are weighted and calculated to ensure the comprehensiveness and accuracy of the evaluation result. Preferably, the comprehensive weight of each environmental impact parameter group is the ratio of the sum of its corresponding first, second, and third weights to the sum of the multiple first, second, and third weights corresponding to all environmental impact parameter groups.

[0060] In some embodiments, calculating an evaluation result of the adsorption performance of the oxygen generation molecular sieve according to the multiple test scores includes: According to the occurrence frequency of the multiple environmental impact parameter groups in the actual adsorption operation, multiple first weights are allocated, and the magnitude of the first weight is positively correlated with the magnitude of the occurrence frequency in the actual adsorption operation. Calculate the deviation amplitude between the multiple environmental impact parameter groups and the preset environmental impact parameter group, and allocate multiple second weights, and the magnitude of the second weight is negatively correlated with the magnitude of the deviation amplitude. According to the occurrence frequency of the multiple environmental impact parameter groups in the search process, multiple third weights are allocated, and the magnitude of the third weight is positively correlated with the occurrence frequency in the search process. According to the multiple first weights, multiple second weights, and multiple third weights, multiple environmental test weights are calculated by normalization, and the multiple test scores are weighted and calculated to obtain a total test score as the evaluation result of the adsorption performance of the oxygen generation molecular sieve.

[0061] Specifically, the first weight is used to reflect the occurrence frequency of each environmental impact parameter group in the actual adsorption operation, and the magnitude of the first weight is directly proportional to the occurrence frequency of each environmental impact parameter group in the actual adsorption operation. A parameter group with a higher occurrence frequency means it is more common in the actual application scenario, so its weight should be larger.

[0062] Specifically, the second weight is used to reflect the deviation magnitude between each environmental impact parameter group and the preset environmental impact parameter group, and the magnitude of the second weight is negatively correlated with the deviation magnitude. The larger the deviation magnitude, the smaller the weight. The smaller the deviation magnitude, the larger the weight. That is to say, the smaller the deviation magnitude between the environmental impact parameter group and the preset environmental impact parameter group, the closer the parameter group is to the typical environmental conditions, and the corresponding weight should be larger. Exemplarily, to calculate the deviation between each environmental impact parameter group and the preset parameter group, deviation measurement methods suitable for multi-dimensional data such as Euclidean distance or Mahalanobis distance can be used.

[0063] Specifically, the third weight reflects the occurrence frequency of each environmental impact parameter group in the search process, and the third weight is positively correlated with the occurrence frequency of the parameter group in the search process. The higher the frequency, the larger the weight. That is, the higher the occurrence frequency means the better the optimization effect of the parameter group in the search process, and its weight should be larger.

[0064] Furthermore, combine the first weight, the second weight, and the third weight to calculate the corresponding environmental test weight for each environmental impact parameter group. This environmental test weight combines the actual application, the deviation magnitude, and the search optimization results, which helps to conduct a comprehensive and comprehensive evaluation of each environmental impact parameter group and ensures that the adsorption performance evaluation results are more practically meaningful and have better optimization effects.

[0065] In summary, the adsorption performance evaluation method for an oxygen-making molecular sieve provided by the present invention has the following technical effects: By obtaining and collecting various environmental impact parameters during the oxygen adsorption and purification process using oxygen - producing molecular sieves, a parameter set is formed, and multiple environmental impact parameter spaces are constructed. In these environmental impact parameter spaces, multiple initial first - environmental - impact - parameter groups are randomly generated, and through iterative adjustment and cross - updating using a preset environmental parameter group, multiple environmental impact parameter groups are finally obtained. Under each environmental impact parameter group, the adsorption performance tests of the oxygen - producing molecular sieve are sequentially carried out, and multiple adsorption test parameter sets are collected and generated. These adsorption test parameter sets are maximized and standardized, an adsorption test impact matrix is constructed, and test score calculations are performed based on this matrix to obtain multiple test score results. According to each test score result, the adsorption performance evaluation value of the oxygen - producing molecular sieve is calculated, comprehensively considering the occurrence frequency of each environmental impact parameter group in actual operation, the occurrence frequency during the search process, and the deviation from the preset parameter group, and the evaluation calculation is carried out by setting weights. Thus, the technical effects of improving the flexibility of the evaluation process and enhancing the reference value of the evaluation results are achieved.

[0066] Embodiment 2 Figure 2 It is a schematic structural diagram of an adsorption performance evaluation device for an oxygen - producing molecular sieve of the present invention. For example, Figure 1 In the present invention, the flowchart of an adsorption performance evaluation method for an oxygen - producing molecular sieve can be implemented through a structure as shown in Figure 2 shown.

[0067] Based on the same concept as the adsorption performance evaluation method for an oxygen - producing molecular sieve in the above - mentioned embodiment, the present invention also provides an adsorption performance evaluation device for an oxygen - producing molecular sieve, including: A parameter - space construction module 11, configured to obtain a parameter set of various environmental impact parameters for adsorbing and purifying oxygen using an oxygen - producing molecular sieve, and construct multiple environmental impact parameter spaces.

[0068] A parameter - organization module 12, configured to randomly generate multiple first - environmental - impact - parameter groups in the multiple environmental impact parameter spaces, and perform iterative search for adjustment and cross - updating according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups.

[0069] An adsorption - test execution module 13, configured to sequentially perform adsorption tests on the oxygen - producing molecular sieve under the multiple environmental impact parameter groups to obtain multiple adsorption test parameter sets.

[0070] A processing - score module 14, configured to perform maximization and standardization processing on the multiple adsorption test parameter sets, construct an impact matrix for the adsorption test, perform test score calculations, and obtain multiple test scores.

[0071] The adsorption performance evaluation calculation module 15 is used to calculate the adsorption performance evaluation result of the oxygen generation molecular sieve according to the multiple test scores, wherein weights are set for calculation according to the occurrence frequencies of the multiple groups of environmental impact parameters in the actual adsorption operation, the occurrence frequencies in the search process, and the deviation from the preset environmental impact parameter group.

[0072] In some embodiments, the parameter space construction module 11 includes: The environmental impact parameter set acquisition unit is used to acquire the parameter sets of multiple types of environmental impact parameters for purifying oxygen by adsorption using the oxygen generation molecular sieve, wherein the multiple types of environmental impact parameters include temperature parameters, humidity parameters, pollutant parameters, and the cyclic use parameters of the oxygen generation molecular sieve.

[0073] The environmental impact parameter space construction unit is used to construct multiple environmental impact parameter spaces according to the multiple parameter sets of the multiple types of environmental impact parameters.

[0074] In some embodiments, the parameter organization module 12 includes: The parameter combination and first environmental impact parameter group generation unit is used to randomly select the parameters of multiple types of environmental impact parameters within the multiple environmental impact parameter spaces and combine them to obtain multiple first environmental impact parameter groups.

[0075] The preset environmental impact parameter group acquisition unit is used to acquire the preset environmental impact parameter group.

[0076] The iterative search and parameter group adjustment unit is used to perform iterative search for adjustment and cross-update of the multiple first environmental impact parameter groups with the preset environmental impact parameter group as the adjustment direction.

[0077] The iterative search end and parameter group acquisition unit is used to acquire the multiple environmental impact parameter groups obtained by the search after the iteration ends.

[0078] In some embodiments, the adsorption test execution module 13 includes: The adsorption test execution unit is used to perform an adsorption test on the oxygen generation molecular sieve using the first environmental impact parameter group within the multiple environmental impact parameter groups to obtain the first adsorption test parameter set, wherein the adsorption test parameter set includes adsorption capacity, selective adsorption coefficient, adsorption rate, and cyclic adsorption attenuation coefficient.

[0079] The adsorption test iteration unit is used to continue performing adsorption tests using other environmental impact parameter groups to obtain multiple adsorption test parameter sets.

[0080] In some embodiments, the processing score module 14 includes: A parameter set processing unit for maximizing the cyclic adsorption attenuation coefficient in the multiple adsorption test parameter sets, and standardizing the multiple adsorption test parameter sets after the maximization process to obtain multiple processed adsorption test parameter sets.

[0081] A processed adsorption test parameter set construction and matrix construction unit, based on the multiple processed adsorption test parameter sets, constructs an adsorption test influence matrix as follows: .

[0082] Where Z is the adsorption test influence matrix, n is the number of multiple environmental influence parameter groups, is the processed adsorption capacity parameter in the first processed adsorption test parameter set obtained from the adsorption test under the first environmental influence parameter group, is the processed cyclic adsorption attenuation coefficient in the first processed adsorption test parameter set, is the processed adsorption capacity parameter in the nth processed adsorption test parameter set obtained from the adsorption test under the nth environmental influence parameter group, The processed cyclic adsorption attenuation coefficient in the nth processed adsorption test parameter set.

[0083] A test score calculation unit, according to the adsorption test influence matrix, performs test score calculation to obtain multiple test scores as follows: ; Where, is the test score of the ith environmental influence parameter group, is the jth processed adsorption test parameter in the processed adsorption test parameter set obtained from the adsorption test under the ith environmental influence parameter group, and are the maximum and minimum values of the jth type of processed adsorption test parameter in the adsorption test influence matrix, is the weight of the jth processed adsorption test parameter in calculating the test score.

[0084] In some embodiments, the adsorption performance evaluation calculation module 15 includes: A weight assignment and calculation unit for assigning multiple first weights according to the occurrence frequencies of the multiple environmental influence parameter groups in the actual adsorption operation, and the magnitude of the first weight is positively correlated with the magnitude of the occurrence frequency in the actual adsorption operation.

[0085] A deviation magnitude assignment and second weight calculation unit for calculating the deviation magnitudes of the multiple environmental influence parameter groups from the preset environmental influence parameter group, and assigning multiple second weights, and the magnitude of the second weight is negatively correlated with the magnitude of the deviation magnitude.

[0086] A search frequency weight assignment and third weight calculation unit is configured to obtain multiple third weights according to the occurrence frequencies of the multiple groups of environmental impact parameters during the search process, and the magnitude of the third weight is positively correlated with the occurrence frequency during the search process.

[0087] An environmental test weight normalization calculation unit is configured to obtain multiple environmental test weights through normalization calculation according to the multiple first weights, multiple second weights, and multiple third weights.

[0088] A test score weighted calculation and performance evaluation unit is configured to perform weighted calculation on the multiple test scores to obtain a total test score as the evaluation result of the adsorption performance of the oxygen generation molecular sieve.

[0089] In some embodiments, the iterative search and parameter group adjustment unit in the parameter organization module 12 includes: An adjustment step size and second environmental impact parameter group generation unit is configured to use the multiple preset environmental impact parameters within the preset environmental impact parameter group as adjustment directions, adopt the adjustment step sizes of multiple types of environmental impact parameters, and respectively adjust the first environmental impact parameters within the multiple first environmental impact parameter groups to obtain multiple second environmental impact parameter groups.

[0090] A cross-update and third environmental impact parameter group generation unit is configured to randomly select a random number of environmental impact parameters within the multiple first environmental impact parameter groups and the multiple second environmental impact parameter groups for cross-update to obtain multiple third environmental impact parameter groups.

[0091] An iterative search and preset iteration number unit is configured to continue the iterative search of adjusting and cross-updating the multiple third environmental impact parameter groups in the direction of the preset environmental impact parameter group until the preset iterative search number is reached.

[0092] It should be understood that the embodiments mentioned in this specification focus on their differences from other embodiments. The specific embodiments in the foregoing Embodiment 1 are equally applicable to the adsorption performance evaluation device of an oxygen generation molecular sieve described in Embodiment 2. For the sake of simplicity of the specification, no further elaboration is made here.

[0093] It should be understood that the disclosed embodiments of the present invention and the above descriptions enable those skilled in the art to implement the present invention using the present invention. At the same time, the present invention is not limited to the part of the embodiments mentioned above. It should be understood that those of ordinary skill in the art can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for evaluating the adsorption performance of an oxygen-producing molecular sieve, characterized in that, The method includes: Obtaining a parameter set of multiple environmental impact parameters for adsorbing and purifying oxygen using an oxygen generation molecular sieve, and constructing multiple environmental impact parameter spaces; Randomly generating multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and performing iterative search for adjustment and cross-update according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups; Respectively performing adsorption tests on the oxygen generation molecular sieve under the multiple environmental impact parameter groups to obtain multiple adsorption test parameter sets; Performing maximization and standardization processing on the multiple adsorption test parameter sets, constructing an impact adsorption test matrix, and calculating test scores to obtain multiple test scores; Calculating an adsorption performance evaluation result of the oxygen generation molecular sieve according to the multiple test scores, wherein weights are set for calculation according to the occurrence frequency of the multiple environmental impact parameter groups in actual adsorption operations, the occurrence frequency in the search process, and the deviation from the preset environmental impact parameter group.

2. The adsorption performance evaluation method of the oxygen production molecular sieve according to claim 1, wherein Obtaining a parameter set of multiple environmental impact parameters for adsorbing and purifying oxygen using an oxygen generation molecular sieve, and constructing multiple environmental impact parameter spaces, including: Obtaining a parameter set of multiple environmental impact parameters for adsorbing and purifying oxygen using an oxygen generation molecular sieve, wherein the multiple environmental impact parameters include temperature parameters, humidity parameters, pollutant parameters, and the cycle use parameters of the oxygen generation molecular sieve; Constructing multiple environmental impact parameter spaces according to the multiple parameter sets of the multiple environmental impact parameters.

3. The method for evaluating the adsorption performance of the oxygen-producing molecular sieve according to claim 1, characterized in that, Randomly generating multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and performing iterative search for adjustment and cross-update according to a preset environmental impact parameter group to obtain multiple environmental impact parameter groups, including: Randomly selecting parameters of multiple environmental impact parameters in the multiple environmental impact parameter spaces and combining them to obtain multiple first environmental impact parameter groups; Obtaining a preset environmental impact parameter group; Taking the preset environmental impact parameter group as the adjustment direction, performing iterative search for adjustment and cross-update on the multiple first environmental impact parameter groups; After the iteration ends, obtaining multiple environmental impact parameter groups obtained by the search.

4. The method for evaluating the adsorption performance of the oxygen-producing molecular sieve according to claim 1, wherein Taking the preset environmental impact parameter group as the adjustment direction, performing iterative search for adjustment and cross-update on the multiple first environmental impact parameter groups, including: Taking the multiple preset environmental impact parameters in the preset environmental impact parameter group as the adjustment direction, and using the adjustment step sizes of multiple environmental impact parameters to respectively adjust the first environmental impact parameters in the multiple first environmental impact parameter groups to obtain multiple second environmental impact parameter groups; Randomly selecting a random number of environmental impact parameters in the multiple first environmental impact parameter groups and the multiple second environmental impact parameter groups for cross-update to obtain multiple third environmental impact parameter groups; Taking the preset environmental impact parameter group as the adjustment direction, continuing to perform iterative search for adjustment and cross-update on the multiple third environmental impact parameter groups until the preset iterative search times are reached.

5. The adsorption performance evaluation method of the oxygen production molecular sieve according to claim 1, wherein, Respectively performing adsorption tests on the oxygen generation molecular sieve under the multiple environmental impact parameter groups to obtain multiple adsorption test parameter sets, including: Using the first environmental impact parameter group within the multiple environmental impact parameter groups, conduct an adsorption test on the oxygen-making molecular sieve to obtain the first adsorption test parameter set, where the adsorption test parameter set includes adsorption capacity, selective adsorption coefficient, adsorption rate, and cyclic adsorption decay coefficient; Continue to conduct adsorption tests using other environmental impact parameter groups to obtain multiple adsorption test parameter sets.

6. The method for evaluating the adsorption performance of the oxygen-producing molecular sieve according to claim 1, characterized in that, Perform maximization and standardization processing on the multiple adsorption test parameter sets, construct an impact adsorption test matrix, and calculate test scores to obtain multiple test scores, including: Perform maximization processing on the cyclic adsorption decay coefficients within the multiple adsorption test parameter sets, and perform standardization processing on the multiple adsorption test parameter sets after maximization processing to obtain multiple processed adsorption test parameter sets; Based on the multiple processed adsorption test parameter sets, construct an impact adsorption test matrix as follows: ； Wherein, Z is the adsorption test matrix, and n is the number of multiple environmental impact parameter groups. is the treatment adsorption capacity parameter in the first treatment adsorption test parameter set obtained from the adsorption test under the first environmental impact parameter group. is the treatment cyclic adsorption attenuation coefficient in the first treatment adsorption test parameter set. is the treatment adsorption capacity parameter in the nth treatment adsorption test parameter set obtained from the adsorption test under the nth environmental impact parameter group. is the treatment cyclic adsorption attenuation coefficient in the nth treatment adsorption test parameter set. According to the impact adsorption test matrix, calculate test scores to obtain multiple test scores as follows: ； Among them, is the test score of the i-th environmental impact parameter group, is the j-th treatment adsorption test parameter in the treatment adsorption test parameter set obtained from the adsorption test under the i-th environmental impact parameter group, and are the maximum and minimum values among the j-th type of treatment adsorption test parameters in the adsorption test matrix, is the weight of the j-th treatment adsorption test parameter in calculating the test score.

7. The method for evaluating the adsorption performance of the oxygen-producing molecular sieve according to claim 1, wherein Based on the multiple test scores, calculate and obtain the adsorption performance evaluation result of the oxygen-making molecular sieve, including: According to the occurrence frequencies of the multiple environmental impact parameter groups in actual adsorption operations, allocate multiple first weights, and the magnitudes of the first weights are positively correlated with the magnitudes of the occurrence frequencies in actual adsorption operations; Calculate the deviation magnitudes between the multiple environmental impact parameter groups and the preset environmental impact parameter group, and allocate multiple second weights, and the magnitudes of the second weights are negatively correlated with the magnitudes of the deviation magnitudes; According to the occurrence frequencies of the multiple environmental impact parameter groups in the search process, allocate multiple third weights, and the magnitudes of the third weights are positively correlated with the occurrence frequencies in the search process; According to the multiple first weights, multiple second weights, and multiple third weights, perform normalization calculation to obtain multiple environmental test weights, and perform weighted calculation on the multiple test scores to obtain the total test score as the adsorption performance evaluation result of the oxygen-making molecular sieve.

8. An adsorption performance evaluation device for oxygen-producing molecular sieve, characterized in that, The device is used to execute the adsorption performance evaluation method of an oxygen-making molecular sieve according to any one of claims 1-7, and the device includes: A parameter space construction module, which is used to obtain parameter sets of multiple types of environmental impact parameters for adsorbing and purifying oxygen using an oxygen-making molecular sieve, and construct multiple environmental impact parameter spaces; A parameter organization module, which is used to randomly generate multiple first environmental impact parameter groups in the multiple environmental impact parameter spaces, and perform iterative search for adjustment and cross-update according to the preset environmental impact parameter group to obtain multiple environmental impact parameter groups; An adsorption test execution module, which is used to sequentially conduct adsorption tests on the oxygen-making molecular sieve under the multiple environmental impact parameter groups to obtain multiple adsorption test parameter sets; A processing and scoring module, which is used to perform maximization and standardization processing on the multiple adsorption test parameter sets, construct an impact adsorption test matrix, and calculate test scores to obtain multiple test scores; An adsorption performance evaluation calculation module, which is used to calculate an adsorption performance evaluation result of an oxygen production molecular sieve based on the multiple test scores. Among them, weights are set for calculation according to the occurrence frequency of the multiple groups of environmental impact parameters in the actual adsorption operation, the occurrence frequency in the search process, and the deviation from the preset group of environmental impact parameters.

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