Performance evaluation method of adsorbent material for water purification

Abstract

The invention provides an adsorbent material performance evaluation method for water purification, and belongs to the technical field of material performance evaluation, and the adsorbent material performance evaluation method comprises the steps that according to the material type of an adsorbent material, a test mode matched with the material type is acquired from a type-performance characterization database, and the test mode comprises detection means of different performance characterization; testing the adsorbent material according to a detection means to obtain a corresponding performance characterization result; analyzing scene requirements of a water environment application scene where the adsorbent material is located to obtain configuration weights for different characterization properties; and comparing and analyzing all performance characterization results with a standard characterization result, and evaluating and outputting the current adsorption capacity of the adsorbent material in combination with configuration weights of different characterization performances and detection errors of the detection means. The maximum utilization of the adsorbent material is ensured, and the situation that the purification effect is weakened due to untimely replacement is avoided.

Description

Technical Field

[0001] The invention relates to the technical field of material performance evaluation, and in particular to a method for evaluating the performance of an adsorbent material used for water purification. Background Art

[0002] Adsorbent materials are a type of material that can selectively separate certain substances (adsorbates) from a mixture by physical or chemical adsorption. They play an important role in environmental protection, resource recovery, chemical separation and other fields.

[0003] In order to ensure the adsorption capacity of the adsorbent material in purifying water, the water purification capacity is generally ensured by manually observing the color of the water or replacing the adsorbent regularly. However, this method may result in the adsorption life reaching its limit but not being able to be replaced in time, which greatly reduces the purification effect, or the adsorbent is replaced regularly but can still be used, that is, the adsorbent cannot be used to its maximum effect.

[0004] Therefore, the present invention proposes a method for evaluating the performance of adsorbent materials for water purification. Summary of the invention

[0005] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, which is used to test the performance of the adsorbent material in different water environment application scenarios, and to evaluate the current adsorption capacity of the adsorbent material in combination with the configuration weight of the performance and the detection error, so as to ensure the accuracy of the evaluation, thereby ensuring the maximum utilization of the adsorbent material and avoiding the weakening of the purification effect due to untimely replacement.

[0006] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, comprising: Step 1: According to the material type of the adsorbent material, a test method matching the material type is obtained from a type-performance characterization database, wherein the test method includes detection means of different performance characterizations; Step 2: Testing the adsorbent material according to the detection means to obtain corresponding performance characterization results; Step 3: Analyze the scenario requirements of the water environment application scenario in which the adsorbent material is located to obtain the configuration weights for different characterization performances; Step 4: Compare and analyze all performance characterization results with the standard characterization results, and combine the configuration weights of different characterization performances and the detection error of the detection method to evaluate the current adsorption capacity of the adsorbent material and output it.

[0007] Preferably, the performance characterization results are related to the particle size of the adsorbent material, the surface internal morphology characteristics, the surface electrical properties, the specific surface area and pore distribution of the material, the type and density of surface functional groups, the material composition and the crystal form.

[0008] Preferably, the corresponding performance characterization results are obtained, including: The surface area of ​​the adsorbent material is divided into units, and the surface of each divided surface area is tested by a detection means to obtain a test vector based on each detection means; Arrange all test vectors according to the positions of the split surface areas to obtain a characterization result matrix; The characterization result matrix is ​​all performance characterization results.

[0009] Preferably, the scenario requirements for analyzing the application scenario of the water environment in which the adsorbent material is located are used to obtain configuration weights for different characterization properties, including: Based on the demand analysis model, the scenario demand of the application scenario of the water environment is analyzed for demand parameters to obtain a number of sub-demand parameters. At the same time, a first measurement is performed on the water quality parameters of the water environment where the adsorbent material is located, and a second measurement is performed on the air pollution parameters of the air environment of the external interference water environment of the water environment to obtain a number of sub-environment parameters. Extracting the scene type of each occurrence of the corresponding sub-demand parameter from the historical database, and performing statistics on the number of types to obtain a first association list, wherein the first association list includes the occurrence frequency under the same scene type and the occurrence priority under the corresponding scene type; Analyze the first association list to obtain reference priorities of corresponding sub-demand parameters, and sort the reference priorities of all sub-demand parameters in a first-order order; ;in, Indicates the reference priority of the i1th sub-demand parameter; Indicates the appearance priority of the i1th sub-demand parameter corresponding to the scenario type with the highest appearance frequency in the first association list; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The number of scene types; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The number of scene types; Indicates based on The variance of all priorities involved; Indicates that based on all The variance of the priorities involved; perform a second order of priority for all sub-demand parameters in the water environment application scenario where the adsorbent material is located, and combine the results of the first order of priority to obtain the importance of the corresponding sub-demand parameters; ;in, Indicates the current priority of the i1th sub-demand parameter; Indicates the position of the i1th sub-demand parameter based on the second priority sorting; Indicates the position of the i1th sub-demand parameter based on the first priority sorting; Based on the matching mechanism between demand and environment, each sub-demand parameter is mapped with all sub-environment parameters respectively, and a mapping list of corresponding sub-demand parameters is obtained in combination with the importance of the corresponding sub-demand parameters; Based on the adaptation relationship between each representation performance and all sub-requirement parameters, an adaptation list is obtained; Establishing an initial multivariate function based on all the representation properties, and obtaining the current multivariate function based on the representation matrix determined by the adaptation list and the mapping list of each representation property; Based on the parameter coefficient of each characterizing performance in the current multivariate function, a configuration weight corresponding to the characterizing performance is obtained.

[0010] Preferably, a mapping list of corresponding sub-requirement parameters is obtained, including: Based on the matching mechanism between requirements and environment, an initial list of parameters for each sub-requirement is obtained; Assigning a first value according to the relationship between the corresponding sub-demand parameter and the sub-environment parameter with a mapping relationship and the importance of the sub-demand parameter; ;in, Indicates the relationship between the i1th sub-demand parameter and the j1th sub-environment parameter with a mapping relationship, and the value range is 0 to 1; Indicates the importance of the i1th sub-demand parameter, ranging from 0 to 1; Represents the logarithmic function symbol; is a constant, with a value of 2.7; Indicates the first value assigned to the i1th sub-requirement parameter and the j1th sub-environment parameter having a mapping relationship; based on the first sum of all values, it is appended to the initial list to obtain a mapping list.

[0011] Preferably, the method further includes: determining a characterization matrix based on the adaptation list and the mapping list of each characterization performance, specifically including: Convert the mapping list of each sub-requirement parameter into a standard mapping column vector; According to the adaptation list of each characterization performance and all sub-requirement parameters, the sub-requirement parameters whose adaptation relationship is not 0 are extracted and regarded as the first parameters, and the standard mapping column vectors related to the first parameter involved in the characterization performance are combined in sequence according to the size of the additional first sum to obtain a standard mapping matrix; According to the values ​​whose adaptation relationships are not 0 in the adaptation list corresponding to the characterization performance, the column vectors corresponding to the sub-requirement parameters in the standard mapping matrix are adjusted to obtain the characterization matrix.

[0012] Preferably, before evaluating the current adsorption capacity of the adsorbent material, the method comprises: Construct multiple testing environments and use different testing methods to test them in turn, obtain the actual test results of each testing environment, and build a test error set by combining the standard test results of each testing environment; Combining the system error of each detection method and the detection effect under the corresponding detection environment, error compensation is performed on each detection error in the detection error set of the corresponding detection environment, wherein the error compensation is multi-order compensation, and the multi-order is due to Determined, among which, Indicates the rounding up symbol; They respectively represent the value of the standard test result and the value of the actual test result of the j3-th test means in the corresponding test environment; represents the standardized coefficient of the j3rd detection means; It represents the detection effect value of the j3th detection means in the corresponding detection environment, and its value range is 0 to 1; represents the systematic error of the j3rd detection method; represents the comprehensive error of the j3rd detection means in the corresponding detection environment; Indicates all the corresponding detection environment The maximum value in ; Indicates all the corresponding detection environment The minimum value in ; Represents a multi-order quantity; ; ; in, represents the set of multi-order compensation results of the j3-th detection means in the corresponding detection environment; Represents a variable, They represent the rounding up sign and the rounding down sign respectively; m1 represents the number of detection methods; According to the set of multi-order compensation results in each detection environment, all errors involved in each detection method are extracted in turn, and density analysis is performed to obtain the error density, and then the detection error of the corresponding detection method is obtained.

[0013] Preferably, evaluating the current adsorption capacity of the adsorbent material comprises: Obtaining a comparative analysis matrix according to the comparative analysis results, and correcting the comparative analysis matrix according to the detection error to obtain a current analysis matrix; According to the configuration weights of different characterization performances and combined with the current analysis matrix, the current adsorption capacity is obtained.

[0014] Compared with the prior art, the present invention has the following beneficial effects: By testing the performance of adsorbent materials in different water environment application scenarios, and combining the configuration weight of the performance and the detection error to evaluate the current adsorption capacity of the adsorbent material, the accuracy of the evaluation is guaranteed, thereby ensuring the maximum utilization of the adsorbent material and avoiding the weakening of the purification effect due to untimely replacement.

[0015] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0016] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 The present invention is a flowchart of a method for evaluating the performance of an adsorbent material for water purification according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0021] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, such as Figure 1 As shown, including: Step 1: According to the material type of the adsorbent material, a test method matching the material type is obtained from a type-performance characterization database, wherein the test method includes detection means of different performance characterizations; Step 2: Testing the adsorbent material according to the detection means to obtain corresponding performance characterization results; Step 3: Analyze the scenario requirements of the water environment application scenario in which the adsorbent material is located to obtain the configuration weights for different characterization performances; Step 4: Compare and analyze all performance characterization results with the standard characterization results, and combine the configuration weights of different characterization performances and the detection error of the detection method to evaluate the current adsorption capacity of the adsorbent material and output it.

[0022] Preferably, the performance characterization results are related to the particle size of the adsorbent material, the surface internal morphology characteristics, the surface electrical properties, the specific surface area and pore distribution of the material, the type and density of surface functional groups, the material composition and the crystal form.

[0023] In this embodiment, the material type includes but is not limited to: physical type (activated carbon), chemical type (resin), natural type (charcoal, wood), artificial type (silica gel), etc.

[0024] In this embodiment, the type-performance characterization database includes different material types and test methods matching the material types, and is pre-stored.

[0025] In this embodiment, the detection means include: for example, the particle size is realized by dynamic light scattering, laser diffraction, etc., the surface internal morphology characteristics are realized by microscopy, the surface electrical properties are realized by acid-base titration, the specific surface area and pore distribution of the material are measured by BET adsorption method, the type and density of surface functional groups are realized by external spectroscopy (FTIR), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), etc., and the material composition and crystal form are realized by a common X-ray diffractometer (XRD).

[0026] In this embodiment, the water environment application scenario refers to the water environment where the adsorption material is placed, such as a fish tank, sewage, and other scenarios where water purification is required.

[0027] In this embodiment, the scenario requirement may be when the water needs to be purified and to what extent.

[0028] In this embodiment, the characterization test refers to testing the adsorbent material by corresponding means.

[0029] In this embodiment, the configuration weight is obtained through comprehensive analysis of scenario requirements, related errors involved, etc.

[0030] In this embodiment, the standard characterization results are all preset.

[0031] In this embodiment, the detection error is obtained by performing multiple measurement analysis on the detection means.

[0032] In this embodiment, the current adsorption capacity is obtained based on the comparative analysis results, the configuration weights and the detection errors.

[0033] The beneficial effect of the above technical solution is: by testing the characterization performance of the adsorbent material in different water environment application scenarios, and combining the configuration weight of the performance and the detection error to evaluate the current adsorption capacity of the adsorbent material, the accuracy of the evaluation is ensured, and then the maximum utilization of the adsorbent material is ensured, avoiding the weakening of the purification effect due to untimely replacement.

[0034] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, and obtains corresponding performance characterization results, including: The surface area of ​​the adsorbent material is divided into units, and the surface of each divided surface area is tested by a detection means to obtain a test vector based on each detection means; Arrange all test vectors according to the positions of the split surface areas to obtain a characterization result matrix; The characterization result matrix is ​​all performance characterization results.

[0035] In this embodiment, unit splitting refers to dividing the surface of the adsorbent material into unit areas to obtain a number of unit area blocks, which are regarded as a unit surface, and then each surface is tested separately to obtain a test vector under each detection means = {test results of the same detection means on different surfaces}.

[0036] In this embodiment, the characterization result matrix = .

[0037] The beneficial effect of the above technical solution is: by splitting the surface area of ​​the material into units, a material characterization result matrix is ​​obtained, thereby providing a data basis for subsequent capability evaluation.

[0038] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, which analyzes the scenario requirements of the water environment application scenario in which the adsorbent material is located to obtain configuration weights for different characterization performances, including: Based on the demand analysis model, the scenario demand of the application scenario of the water environment is analyzed for demand parameters to obtain a number of sub-demand parameters. At the same time, a first measurement is performed on the water quality parameters of the water environment where the adsorbent material is located, and a second measurement is performed on the air pollution parameters of the air environment of the external interference water environment of the water environment to obtain a number of sub-environment parameters. Extracting the scene type of each occurrence of the corresponding sub-demand parameter from the historical database, and performing statistics on the number of types to obtain a first association list, wherein the first association list includes the occurrence frequency under the same scene type and the occurrence priority under the corresponding scene type; Analyze the first association list to obtain reference priorities of corresponding sub-demand parameters, and sort the reference priorities of all sub-demand parameters in a first-order order; ; in, Indicates the reference priority of the i1th sub-demand parameter; Indicates the appearance priority of the i1th sub-demand parameter corresponding to the scenario type with the highest appearance frequency in the first association list; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The number of scene types; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The number of scene types; Indicates based on The variance of all priorities involved; Indicates that based on all The variance of the priorities involved; perform a second order of priority for all sub-demand parameters in the water environment application scenario where the adsorbent material is located, and combine the results of the first order of priority to obtain the importance of the corresponding sub-demand parameters; ;in, Indicates the current priority of the i1th sub-demand parameter; Indicates the position of the i1th sub-demand parameter based on the second priority sorting; Indicates the position of the i1th sub-demand parameter based on the first priority sorting; Based on the matching mechanism between demand and environment, each sub-demand parameter is mapped with all sub-environment parameters respectively, and a mapping list of corresponding sub-demand parameters is obtained in combination with the importance of the corresponding sub-demand parameters; Based on the adaptation relationship between each representation performance and all sub-requirement parameters, an adaptation list is obtained; Establishing an initial multivariate function based on all the representation properties, and obtaining the current multivariate function based on the representation matrix determined by the adaptation list and the mapping list of each representation property; Based on the parameter coefficient of each characterizing performance in the current multivariate function, a configuration weight corresponding to the characterizing performance is obtained.

[0039] In this embodiment, the priority level is a specific value.

[0040] In this embodiment, the adaptation relationship is pre-set only for constructing an adaptation list for each characterization performance, and the list includes the case where the value of the adaptation relationship is not 0.

[0041] In this embodiment, the initial multivariate function = ,in, They represent the variable parameters that characterize the performance, They represent parameter coefficients for characterizing performance respectively.

[0042] In this embodiment, the coefficients of the characterization matrix under the current multivariate function = characterization performance 1 , where the coefficients of all characterization matrices are obtained by calculating the eigenvalues ​​of the characterization matrices, and then the results are used as reference coefficients.

[0043] In this embodiment, the configuration weight=the reference coefficient corresponding to the performance / the sum of all the reference coefficients representing the performance.

[0044] In this embodiment, the priority of each sub-demand parameter in the corresponding scenario is determined in advance, that is, after the scenario requirement is determined, it can be directly matched from the requirement-parameter-priority comparison table, which is the appearance priority of the sub-demand parameters involved in different scenario requirements.

[0045] In this embodiment, the demand analysis model is obtained by training the neural network model with different scenario demands and parameter analysis results of the scenario demands as samples. Therefore, the sub-demand parameters under the scenario demands can be directly obtained, wherein the sub-demand parameters include but are not limited to the duration of water purification, the cleanliness of purified water, the content of a certain substance in the water environment being lower than the set content, etc.

[0046] In this embodiment, the water quality parameter refers to the pollution parameter of the water environment, such as chromaticity, concentration of particulate matter, etc.

[0047] In this embodiment, the first measurement and the second measurement are implemented based on direct measurement of related equipment, which belongs to the prior art, and the air pollution parameters in the second measurement include: parameters that pollutants may affect the water environment, such as dust in the air may affect water quality.

[0048] In this embodiment, the historical database includes application scenarios of the water environment in which different sub-demand parameters appear, and the scenario type of the application scenario can be a water particle adsorption type, a wastewater purification type, a fish tank water purification type, etc.

[0049] In this embodiment, the reference priority is obtained based on a corresponding calculation formula.

[0050] In this embodiment, the first order of precedence is obtained by sorting the priority values, and the second order of precedence is similar to the first order of precedence.

[0051] The beneficial effect of the above technical solution is: by analyzing the scene and measuring the water quality parameters and air quality parameters, the mapping results of the sub-demand parameters and the sub-environmental parameters are determined, and the reference priority is calculated in combination with the historical priority of each sub-demand parameter, providing a basis for determining the importance based on the current priority, and subsequently obtaining the reference coefficient by constructing the initial multivariate function and the characterization matrix to achieve weight distribution, providing a reliable basis for the subsequent determination of the adsorption capacity.

[0052] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, and obtains a mapping list of corresponding sub-demand parameters, including: Based on the matching mechanism between requirements and environment, an initial list of parameters for each sub-requirement is obtained; Assigning a first value according to the relationship between the corresponding sub-demand parameter and the sub-environment parameter with a mapping relationship and the importance of the sub-demand parameter; ;in, Indicates the relationship between the i1th sub-demand parameter and the j1th sub-environment parameter with a mapping relationship, and the value range is 0 to 1; Indicates the importance of the i1th sub-demand parameter, ranging from 0 to 1; Represents the logarithmic function symbol; is a constant, with a value of 2.7; Indicates the first value assigned to the i1th sub-demand parameter and the j1th sub-environment parameter that have a mapping relationship; Based on the first sum of all values, appended to the initial list, a mapping list is obtained.

[0053] In this embodiment, the matching mechanism between the demand and the environment is preset, for example, sub-demand parameter 1 is matched with sub-environment parameter 01, sub-environment parameter 02, and sub-environment parameter 03, thereby obtaining an initial list.

[0054] In this embodiment, the size of the relationship is directly determined based on the mechanism of demand and environment, and the closer the relationship, the closer the value is to 1.

[0055] The beneficial effect of the above technical solution is: the initial matching of parameters is achieved through the mechanism, and the first value is assigned in combination with the relationship size and importance, which provides a basis for the order of combination of the list into the vector. The present invention provides a method for evaluating the performance of an adsorbent material for water purification, further comprising: determining a characterization matrix based on an adaptation list and a mapping list of each characterization performance, specifically comprising: Convert the mapping list of each sub-requirement parameter into a standard mapping column vector; According to the adaptation list of each characterization performance and all sub-requirement parameters, the sub-requirement parameters whose adaptation relationship is not 0 are extracted and regarded as the first parameters, and the standard mapping column vectors related to the first parameter involved in the characterization performance are combined in sequence according to the size of the additional first sum to obtain a standard mapping matrix; According to the values ​​whose adaptation relationships are not 0 in the adaptation list corresponding to the characterization performance, the column vectors corresponding to the sub-requirement parameters in the standard mapping matrix are adjusted to obtain the characterization matrix.

[0056] In this embodiment, for example, the first sum sum1 corresponding to the sub-demand parameter f01 is greater than the first sum sum2 corresponding to the sub-demand parameter f02. In this case, the column vector of the sub-demand parameter f01 is placed before the column vector of the sub-demand parameter f02.

[0057] In this embodiment, the value size adjustment is: (the adaptation relationship corresponding to the first parameter + 1) × the column vector corresponding to the required parameter.

[0058] In this embodiment, the characterization matrix={the adjusted column vector corresponding to each sub-demand parameter}.

[0059] The beneficial effect of the above technical solution is: by converting the list to obtain a column vector, and combining the adaptation relationship, the first and the second to achieve the order of placement and size adjustment of the vector, the representation matrix is ​​effectively obtained. The present invention provides a method for evaluating the performance of an adsorbent material for water purification, which comprises: Construct multiple testing environments and use different testing methods to test them in turn, obtain the actual test results of each testing environment, and build a test error set by combining the standard test results of each testing environment; Combining the system error of each detection method and the detection effect under the corresponding detection environment, error compensation is performed on each detection error in the detection error set of the corresponding detection environment, wherein the error compensation is multi-order compensation, and the multi-order is due to Certainly, among them, Indicates the rounding up symbol; They respectively represent the value of the standard test result and the value of the actual test result of the j3-th test means in the corresponding test environment; represents the standardized coefficient of the j3rd detection means; It represents the detection effect value of the j3th detection means in the corresponding detection environment, and its value range is 0 to 1; represents the systematic error of the j3rd detection method; represents the comprehensive error of the j3rd detection means in the corresponding detection environment; Indicates all the corresponding detection environment The maximum value in ; Indicates all the corresponding detection environment The minimum value in ; Represents a multi-order quantity; in, represents the set of multi-order compensation results of the j3-th detection means in the corresponding detection environment; Represents a variable, They represent the rounding up sign and the rounding down sign respectively; m1 represents the number of detection methods; According to the set of multi-order compensation results in each detection environment, all errors involved in each detection method are extracted in turn, and density analysis is performed to obtain the error density, and then the detection error of the corresponding detection method is obtained.

[0060] In this embodiment, the detection environment is pre-arranged, for example, the adsorbent material is placed in a particle concentration of 0.7 mol / L for 10 minutes and 20 minutes and then tested in turn to determine the detection results of the adsorbent material under different detection methods.

[0061] In this embodiment, the detection error set = {the difference between the actual detection result under each detection environment and the standard detection result}, and the standard detection result refers to the theoretical result of the adsorbent material under the corresponding detection environment, which is pre-set.

[0062] In this embodiment, the system error is a theoretical error of the corresponding detection means.

[0063] In this embodiment, the detection effect refers to the important role played by the detection means in the environment. The more important the detection means is, the greater the corresponding role is, and the value is closer to 1.

[0064] In this embodiment, the purpose of error compensation is to determine multiple possible error situations.

[0065] In this embodiment, the detection errors involved in each detection method are normally distributed to determine the average value of the errors concentrated in the range of 80%.

[0066] The error density is based on .

[0067] When calculating, first calculate the mean value and standard deviation μ, σ, and then substitute the result of x=mean value into the result.

[0068] In this embodiment, the detection error of the corresponding detection means=average value×error density.

[0069] The beneficial effects of the above technical solution are: constructing a detection environment and using different detection methods to conduct detection in sequence to construct an error set, and combining the system error and the detection effect to determine the results under multi-order compensation, realizing a comprehensive analysis of the error, ensuring the reliability of the detection error, providing a basis for the subsequent determination of the adsorption capacity, and indirectly improving the adsorption utilization rate of the adsorbent material.

[0070] The present invention provides a method for evaluating the performance of an adsorbent material for water purification, which evaluates the current adsorption capacity of the adsorbent material, comprising: Obtaining a comparative analysis matrix according to the comparative analysis results, and correcting the comparative analysis matrix according to the detection error to obtain a current analysis matrix; According to the configuration weights of different characterization performances and combined with the current analysis matrix, the current adsorption capacity is obtained.

[0071] In this embodiment, the comparative analysis matrix = .

[0072] In this embodiment, the current analysis matrix is ​​constructed by subtracting the corresponding detection error from the value of the element under the corresponding detection means in the comparison analysis matrix.

[0073] In this embodiment, the combination of the average value of all elements under each detection method in the current analysis matrix × the value obtained by configuring the weight is matched with the combination-capacity comparison table to obtain the current adsorption capacity of the adsorbent material, wherein the combination-capacity comparison table includes the combination of values ​​obtained under different detection methods and the adsorption capacity matched with the combination.

[0074] The beneficial effect of the above technical solution is: by correcting the comparative analysis matrix through detection errors, and combining with the configuration weights, the current adsorption capacity can be effectively obtained to ensure the accuracy of the evaluation, so as to maximize the purification effect of the adsorbent material.

[0075] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating the performance of an adsorbent material for water purification, characterized in that: include: Step 1: According to the material type of the adsorbent material, a test method matching the material type is obtained from a type-performance characterization database, wherein the test method includes detection means of different performance characterizations; Step 2: Testing the adsorbent material according to the detection means to obtain corresponding performance characterization results; Step 3: Analyze the scenario requirements of the water environment application scenario in which the adsorbent material is located to obtain the configuration weights for different characterization performances; Step 4: Compare and analyze all performance characterization results with the standard characterization results, and combine the configuration weights of different characterization performances and the detection error of the detection method to evaluate the current adsorption capacity of the adsorbent material and output it.

2. The method for evaluating the performance of an adsorbent material for water purification according to claim 1, characterized in that: The performance characterization results are related to the particle size of the adsorbent material, surface internal morphology characteristics, surface electrical properties, specific surface area and pore distribution of the material, type and density of surface functional groups, material composition and crystal form.

3. The method for evaluating the performance of an adsorbent material for water purification according to claim 1, characterized in that: The corresponding performance characterization results are obtained, including: The surface area of ​​the adsorbent material is divided into units, and the surface of each divided surface area is tested by a detection means to obtain a test vector based on each detection means; Arrange all test vectors according to the positions of the split surface areas to obtain a characterization result matrix; The characterization result matrix is ​​all performance characterization results.

4. The method for evaluating the performance of an adsorbent material for water purification according to claim 1, characterized in that: Analyzing the scenario requirements of the water environment application scenario where the adsorbent material is located to obtain configuration weights for different characterization performances, including: performing demand parameter analysis on the scenario requirements of the water environment application scenario based on the demand analysis model to obtain a number of sub-demand parameters, and at the same time, performing a first measurement on the water quality parameters of the water environment where the adsorbent material is located and a second measurement on the air pollution parameters of the air environment of the water environment externally interfering with the water environment to obtain a number of sub-environment parameters; Extracting the scene type of each occurrence of the corresponding sub-demand parameter from the historical database, and performing statistics on the number of types to obtain a first association list, wherein the first association list includes the occurrence frequency under the same scene type and the occurrence priority under the corresponding scene type; Analyze the first association list to obtain reference priorities of corresponding sub-demand parameters, and sort the reference priorities of all sub-demand parameters in a first-order order; ； in, Indicates the reference priority of the i1th sub-demand parameter; Indicates the appearance priority of the i1th sub-demand parameter corresponding to the scenario type with the highest appearance frequency in the first association list; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The number of scene types; Indicates that the priority determined based on the corresponding first association list is greater than or equal to The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The total frequency of occurrence of Indicates that the priority determined based on the corresponding first association list is less than The number of scene types; Indicates based on The variance of all priorities involved; Indicates that based on all the variance of the priorities involved; Perform a second priority sorting on all sub-demand parameters in the current application scenario of the water environment in which the adsorbent material is located, and combine the results of the first priority sorting to obtain the importance of the corresponding sub-demand parameters; ； in, Indicates the current priority of the i1th sub-demand parameter; Indicates the position of the i1th sub-demand parameter based on the second priority sorting; Indicates the position of the i1th sub-demand parameter based on the first priority sorting; Based on the matching mechanism between demand and environment, each sub-demand parameter is mapped with all sub-environment parameters respectively, and a mapping list of corresponding sub-demand parameters is obtained in combination with the importance of the corresponding sub-demand parameters; Based on the adaptation relationship between each representation performance and all sub-requirement parameters, an adaptation list is obtained; Establishing an initial multivariate function based on all the representation properties, and obtaining the current multivariate function based on the representation matrix determined by the adaptation list and the mapping list of each representation property; Based on the parameter coefficient of each characterizing performance in the current multivariate function, a configuration weight corresponding to the characterizing performance is obtained.

5. The method for evaluating the performance of an adsorbent material for water purification according to claim 4, characterized in that: Get the mapping list of corresponding sub-requirement parameters, including: Based on the matching mechanism between requirements and environment, an initial list of parameters for each sub-requirement is obtained; Assigning a first value according to the relationship between the corresponding sub-demand parameter and the sub-environment parameter with a mapping relationship and the importance of the sub-demand parameter; ； in, Indicates the relationship between the i1th sub-demand parameter and the j1th sub-environment parameter with a mapping relationship, and the value range is 0 to 1; Indicates the importance of the i1th sub-demand parameter, ranging from 0 to 1; Represents the logarithmic function symbol; is a constant, with a value of 2.7; Indicates the first value assigned to the i1th sub-demand parameter and the j1th sub-environment parameter that have a mapping relationship; Based on the first sum of all values, appended to the initial list, a mapping list is obtained.

6. The method for evaluating the performance of an adsorbent material for water purification according to claim 5, characterized in that: Also includes: The characterization matrix is ​​determined based on the adaptation list and mapping list of each characterization performance, specifically including: Convert the mapping list of each sub-requirement parameter into a standard mapping column vector; According to the adaptation list of each characterization performance and all sub-requirement parameters, the sub-requirement parameters whose adaptation relationship is not 0 are extracted and regarded as the first parameters, and the standard mapping column vectors related to the first parameter involved in the characterization performance are combined in sequence according to the size of the additional first sum to obtain a standard mapping matrix; According to the values ​​whose adaptation relationships are not 0 in the adaptation list corresponding to the characterization performance, the column vectors corresponding to the sub-requirement parameters in the standard mapping matrix are adjusted to obtain the characterization matrix.

7. The method for evaluating the performance of an adsorbent material for water purification according to claim 1, characterized in that: Before evaluating the current adsorption capacity of the adsorbent material, include: Construct multiple testing environments and use different testing methods to test them in turn, obtain the actual test results of each testing environment, and build a test error set based on the standard test results of each testing environment; Combining the system error of each detection method and the detection effect under the corresponding detection environment, error compensation is performed on each detection error in the detection error set of the corresponding detection environment, wherein the error compensation is multi-order compensation, and the multi-order is due to Determined, among which, Indicates the rounding up symbol; They respectively represent the value of the standard test result and the value of the actual test result of the j3-th test means in the corresponding test environment; represents the standardized coefficient of the j3rd detection means; It represents the detection effect value of the j3th detection means in the corresponding detection environment, and its value range is 0 to 1; represents the systematic error of the j3rd detection method; represents the comprehensive error of the j3rd detection means in the corresponding detection environment; Indicates all the corresponding detection environment The maximum value in ; Indicates all the corresponding detection environment The minimum value in ; Represents a multi-order quantity; ； in, represents the set of multi-order compensation results of the j3-th detection means in the corresponding detection environment; Represents a variable, They represent the rounding up sign and the rounding down sign respectively; m1 represents the number of detection methods; According to the set of multi-order compensation results in each detection environment, all errors involved in each detection method are extracted in turn, and density analysis is performed to obtain the error density, and then the detection error of the corresponding detection method is obtained.

8. The method for evaluating the performance of an adsorbent material for water purification according to claim 7, characterized in that: Evaluate the current adsorption capacity of the adsorbent material, including: Obtaining a comparative analysis matrix according to the comparative analysis results, and correcting the comparative analysis matrix according to the detection error to obtain a current analysis matrix; According to the configuration weights of different characterization performances and combined with the current analysis matrix, the current adsorption capacity is obtained.

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