Preparation parameter optimization method and system for ferronickel-based electro-catalytic material

Abstract

The invention relates to the technical field of catalyst preparation, in particular to a preparation parameter optimization method and system for a ferronickel-based electro-catalytic material.The preparation parameter optimization method comprises the steps that a nickel sheet cleaning parameter database is built based on a plurality of segmented foamed nickel sheets, and initial cleaning nickel sheets are obtained through the nickel sheet cleaning parameter database and the segmented foamed nickel sheets; obtaining a target cleaned nickel sheet by using the initial cleaned nickel sheet, carrying out ultrasonic cleaning on the target cleaned nickel sheet by using an acid pickling solution, then cleaning to obtain a front nickel sheet, obtaining a reaction solvent, carrying out a hydrothermal reaction by using the reaction solvent and the front nickel sheet, and then naturally cooling to obtain an initial reaction nickel sheet; and after determining that the initial reaction nickel sheet is a preset reaction nickel sheet, obtaining a reference catalyst, and obtaining a reference comparison curve by using the reference catalyst and the reaction nickel sheet. The invention mainly aims to prepare the high-value oxygen evolution reaction electrocatalyst while reducing the energy consumption required for cleaning the raw materials.

Description

Technical Field

[0001] The present invention relates to the technical field of catalyst preparation, and in particular to a method and system for optimizing preparation parameters of a nickel-iron based electrocatalytic material. Background Art

[0002] With the rapid development of modern industry and social economy, global energy demand continues to grow rapidly. Hydrogen has the characteristics of high calorific value and environmental friendliness, and has broad application prospects. It is worth noting that the raw material of electrolysis technology is high-purity water. If a large amount of scarce fresh water on the earth is used to produce hydrogen, it will place a huge burden on fresh water resources. Therefore, the use of abundant and renewable seawater as a substitute can effectively alleviate the problem of fresh water resource shortage in the field of electrolysis of water to produce hydrogen. The development of seawater electrolysis technology is of great significance to the development of hydrogen energy. Seawater electrolysis includes hydrogen evolution reaction and oxygen evolution reaction. The kinetic process of oxygen evolution reaction is relatively slow, which is one of the main factors limiting the efficiency of hydrogen production by electrolysis of seawater. On the other hand, the composition of seawater is complex, and chloride ions will corrode the anode catalyst in the system, limiting the application of seawater electrolysis catalyst materials.

[0003] Currently, the high cost and poor corrosion resistance of ruthenium-based oxide catalysts currently used in commercial production limit their widespread application in seawater electrolysis for hydrogen production. Therefore, the preparation of low-cost, high-performance, and chlorine-resistant anode catalysts for seawater electrolysis is an urgent problem to be solved in the development of seawater electrolysis technology. Summary of the Invention

[0004] The present invention provides a method for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials and a computer-readable storage medium, the main purpose of which is to reduce the energy consumption required for cleaning raw materials while preparing a high-value oxygen evolution reaction electrocatalyst.

[0005] To achieve the above objectives, the present invention provides a method for optimizing the preparation parameters of a nickel-iron-based electrocatalytic material, comprising:

[0006] Obtaining an initial nickel foam for preparing a catalyst, and dividing the initial nickel foam according to a preset initial size to obtain a plurality of divided nickel foam sheets;

[0007] Building a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, and obtaining an initial cleaning nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets;

[0008] The initial cleaning nickel sheet is cleaned, and the initial cleaning nickel sheet after cleaning is ultrasonically cleaned to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain an pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution;

[0009] The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea;

[0010] A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours.

[0011] After confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet. After confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0012] Optionally, constructing a nickel sheet cleaning parameter database based on the multiple segmented nickel foam sheets includes:

[0013] The following operations are performed on each of the plurality of segmented nickel foam sheets:

[0014] Obtaining an organic pollutant content set of the segmented nickel foam sheet, wherein the organic pollutant content set includes multiple organic pollutant nodes, and the organic pollutant nodes include organic pollutant names and organic pollutant contents;

[0015] Associating the organic pollutant contents in the organic pollutant content set to obtain classified data, aggregating the classified data to obtain a classified data set, identifying an organic pollutant name set in the classified data set, and obtaining an organic pollutant range set using the organic pollutant name set, wherein the organic pollutant range set includes multiple organic pollutant ranges, and the organic pollutant ranges correspond one-to-one to the organic pollutant names;

[0016] The classification data in the classification data set are normalized using the organic pollutant range set to obtain a normalized classification data set;

[0017] Use a pre-built clustering algorithm to cluster the normalized classification data set to obtain one or more cluster data sets. Perform the following operations on each of the one or more cluster data sets:

[0018] A plurality of reference nickel foam sheet groups are obtained according to a preset number of classifications and a plurality of segmented nickel foam sheets corresponding to the clustering data set, and the following operation is performed on each of the plurality of reference nickel foam sheet groups:

[0019] Obtaining an initial contaminant content using a reference nickel foam sheet group, obtaining a first cleaning time range for cleaning the nickel foam sheet, dividing the first cleaning time range to obtain a plurality of first cleaning times, and combining the plurality of first cleaning times and the plurality of reference nickel foam sheet groups to obtain a plurality of reference cleaning groups, wherein each of the plurality of reference cleaning groups includes a reference nickel foam sheet group and a first cleaning time;

[0020] For each of the multiple reference cleaning groups, perform the following operations:

[0021] After setting the time for ultrasonic cleaning of the reference nickel foam sheet group in the reference cleaning group by the pre-constructed cleaning unit as the first cleaning time in the reference cleaning group, the reference nickel foam sheet group is ultrasonically cleaned using the set cleaning unit to obtain a first cleaned nickel sheet group, obtaining a first pollutant content based on the first cleaned nickel sheet group, obtaining a pollutant content difference using the initial pollutant content and the first pollutant content, associating the pollutant content difference with the first cleaning time to obtain a cleaning fitting node, summarizing the cleaning fitting nodes to obtain a cleaning fitting node set, mapping all the cleaning fitting nodes in the cleaning fitting node set to a pre-constructed reference coordinate system to obtain a mapping coordinate point set, wherein the abscissa of the reference coordinate system is the first cleaning time, and the ordinate is the pollutant content difference, using the pre-constructed fitting algorithm, fitting the mapping coordinate point set into a time-cleanliness curve, and after identifying multiple first initial cleaning times in the time-cleanliness curve, performing the following operations on each of the multiple first initial cleaning times:

[0022] The first cleaning nickel sheet set corresponding to the first initial cleaning time is used as a reference nickel foam sheet set, and the process returns to the step of obtaining the initial contaminant content using the reference nickel foam sheet set until a plurality of second initial cleaning times are obtained. The following operations are performed for each of the plurality of second initial cleaning times:

[0023] The second cleaning nickel sheet group corresponding to the second initial cleaning time is used as the reference foam nickel sheet group, and the process returns to the step of obtaining the initial contaminant content using the reference foam nickel sheet group until multiple third cleaning nickel sheet groups are obtained. The following operations are performed on each of the multiple third cleaning nickel sheet groups:

[0024] Acquiring multiple cleaning organic matter contents based on the third cleaning nickel sheet group, wherein the cleaning organic matter contents correspond one-to-one to the divided foam nickel sheets;

[0025] After confirming that each of the multiple cleaning organic matter contents is the preset cleaning organic matter content, multiple first initial cleaning times and multiple second initial cleaning times are used to obtain a target cleaning time group, obtain the range of pollutants to be cleaned corresponding to the cluster data set, associate the target cleaning time group and the range of pollutants to be cleaned, obtain cleaning parameter data, summarize the cleaning parameter data, and obtain a nickel sheet cleaning parameter database.

[0026] Optionally, obtaining the initial pollutant content using a reference nickel foam sheet group includes:

[0027] Extracting the organic pollutant content corresponding to each segmented nickel foam sheet in the reference nickel foam sheet group to obtain an analysis pollutant content set, and summarizing the organic pollutant content in the analysis pollutant content set according to the name of the organic pollutant to obtain multiple classified pollutant content sets;

[0028] The following operations are performed on each of the multiple classified pollutant content sets:

[0029] Calculate the mean of the organic pollutant content in the classified pollutant content set to obtain the classified pollutant mean. Perform the following operations on each organic pollutant content in the classified pollutant content set:

[0030] Calculate the absolute difference between the organic pollutant content and the classified pollutant mean to obtain the absolute classification difference, summarize the absolute classification difference to obtain an absolute classification difference set, summarize the absolute classification difference set to obtain multiple absolute classification difference sets, and calculate the initial pollutant content based on the multiple absolute classification difference sets.

[0031] Optionally, the initial pollutant content is calculated based on multiple absolute classification difference value sets, and the calculation formula is as follows:

[0032]

[0033] Among them, R represents the initial pollutant content, u represents the number of absolute classification difference sets in a total of u absolute classification difference sets, ω k Indicates the preset kth coefficient, and this coefficient is related to the name of the organic pollutant. represents the pollutant content equivalent corresponding to the kth absolute classification difference set in multiple absolute classification difference sets, c i 、c j They represent the i-th absolute classification difference and the j-th absolute classification difference corresponding to the k-th absolute classification difference set, respectively, w j Indicates the organic pollutant content corresponding to the jth absolute classification difference.

[0034] Optionally, identifying a plurality of first initial cleaning times in the time-cleanliness curve comprises:

[0035] Using a preset first extraction step, sequentially identifying time-cleanliness nodes in the time-cleanliness curve, and using the time-cleanliness nodes to obtain a cleaning rate in the time-cleanliness curve, wherein the cleaning rate is a derivative of the time-cleanliness node at the time-cleanliness curve;

[0036] Summarizing the cleaning rates to obtain a cleaning rate set, identifying a maximum cleaning rate in the cleaning rate set to obtain a reference cleaning rate, calculating a product of the reference cleaning rate and a preset reference ratio to obtain a screening cleaning rate, and using the screening cleaning rate to screen out one or more target cleaning rate sets from the cleaning rate set, wherein target cleaning rates in the target cleaning rate sets are all greater than or equal to the screening cleaning rate;

[0037] For each of one or more target cleaning rate sets, the following operations are performed:

[0038] Based on the target cleaning rate set, the target analysis curve is intercepted from the time-cleanliness curve. The target analysis nodes are identified in sequence in the target analysis curve using the preset second extraction step. The target classification rate is calculated using the target analysis nodes. The calculation formula is as follows:

[0039] V=αf(t)′+βf(t)″

[0040] Where V represents the target classification rate, α and β are preset coefficients, f(t)′ and f(t)″ represent the target analysis curve, the first-order derivative and the second-order derivative corresponding to the target analysis node, respectively, and t represents time;

[0041] The target classification rates are aggregated to obtain a target classification rate set, a target classification sequence is obtained based on the target classification rate set, and a plurality of first initial cleaning times are obtained using the target classification sequence.

[0042] Optionally, the obtaining a target cleaning time group by using a plurality of first initial cleaning times and a plurality of second initial cleaning times includes:

[0043] The following operations are performed for each of the plurality of first initial cleaning times:

[0044] Multiple second target cleaning times are obtained using multiple second initial cleaning times corresponding to the first initial cleaning time, and initial energy consumption values are obtained using a pre-built energy consumption function, the first initial cleaning time, and multiple second target cleaning times. The initial energy consumption values are summarized to obtain an initial energy consumption value set, and the minimum initial energy consumption value is identified in the initial energy consumption value set to obtain the target energy consumption value, wherein the first initial cleaning time and the second initial cleaning time corresponding to the target energy consumption value constitute the target cleaning time group.

[0045] Optionally, confirming that the cleaning reaction nickel sheet is a preset target reaction nickel sheet includes:

[0046] An electrodeposition solution was prepared using 100 mg of pre-obtained polyvinyl alcohol powder and 100 ml of deionized water, and constant current deposition was performed on the cleaned reaction nickel sheet using the electrodeposition solution and a pre-obtained three-electrode electrochemical cell to obtain a deposited nickel sheet, wherein the constant current deposition time was set to 5 minutes, the constant current deposition current was set to 5 mA, and the three-electrode electrochemical cell used Ag / AgCl as a reference electrode, a graphite rod as a counter electrode, and the cleaned reaction nickel sheet as a working electrode;

[0047] Acquire an attenuated total reflection infrared spectrum using a pre-built near-infrared spectrometer, a pre-acquired germanium crystal, and a deposited nickel sheet, identify the attenuated total reflection infrared spectrum, and obtain an identification peak set, wherein the identification peak set includes a plurality of identification peaks;

[0048] If the identification peak set includes: OH - Broad peak, H2O peak, peak and CO peak, the cleaned reaction nickel sheet is confirmed as the target reaction nickel sheet.

[0049] Optionally, obtaining a reference comparison curve using the reference catalyst and the comparative reaction nickel sheet includes:

[0050] Linear sweep voltammetry tests were performed using a pre-confirmed simulated seawater solution as the solution, a comparative reaction nickel sheet as the working electrode, a pre-obtained graphite rod as the counter electrode, and a pre-obtained Ag / AgCl as the reference electrode to obtain the experimental reaction curves.

[0051] A reference reaction curve and a mid-way reaction curve are obtained based on a reference catalyst and an initial reaction nickel sheet, respectively. The experimental reaction curve, the reference reaction curve and the mid-way reaction curve are mapped to a pre-constructed coordinate system to obtain a reference comparison curve.

[0052] Optionally, confirming that each of the plurality of cleaning organic matter contents is a preset cleaning organic matter content includes:

[0053] The following operations are performed for each of the plurality of cleaning organic matter contents:

[0054] A clean organic matter threshold is obtained based on the organic pollutant name corresponding to the clean organic matter content, and after confirming that each of the multiple clean organic matter contents is less than or equal to the corresponding clean organic matter threshold, the clean organic matter content is confirmed as the clean organic matter content.

[0055] To achieve the above objectives, the present invention further provides a system for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials, comprising:

[0056] A material preparation module is used to obtain an initial nickel foam sheet for preparing a catalyst, and to segment the initial nickel foam sheet using a preset initial size to obtain a plurality of segmented nickel foam sheets;

[0057] a material impurity removal module, configured to construct a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, wherein the nickel sheet cleaning parameter database includes a first cleaning database, a second cleaning database, and a third cleaning database, and to obtain an initial cleaned nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets;

[0058] a material preparation module, for cleaning the initial cleaning nickel sheet and ultrasonically cleaning the cleaned initial cleaning nickel sheet to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and ultrasonically cleaning the target cleaning nickel sheet using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution;

[0059] The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea;

[0060] A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours.

[0061] The performance detection module is used to confirm that after the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet, and after confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0062] In order to solve the above problem, the present invention further provides an electronic device, comprising:

[0063] A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned method for optimizing the preparation parameters of the nickel-iron-based electrocatalytic material.

[0064] In order to solve the above problems, the present invention also provides a computer-readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials.

[0065] In order to solve the problems described in the background technology, the present invention constructs a nickel sheet cleaning parameter database based on the multiple segmented nickel foam sheets, and uses the nickel sheet cleaning parameter database and the segmented nickel foam sheets to obtain the initial cleaning nickel sheet. It can be seen that the present invention considers that the content and type of pollutants corresponding to different segmented nickel foam sheets may be different before cleaning the segmented nickel foam sheets. Therefore, before obtaining the initial cleaning nickel sheet, the present invention considers building a cleaning parameter database, and when building the cleaning parameter database, it also considers that only cleaning the segmented nickel foam sheet once may lead to incomplete cleaning results. Therefore, multiple cleaning methods are used to clean the segmented nickel foam sheet, and after confirming the use When realizing the parameters for cleaning the split foam nickel sheet, the energy consumption required for cleaning the split foam nickel sheet is also considered. Then, the cleaning of the split foam nickel sheet is realized with the lowest energy consumption, which can reduce the energy consumption required for obtaining the initial cleaning nickel sheet. The present invention cleans the initial cleaning nickel sheet and ultrasonically cleans the initial cleaning nickel sheet after cleaning to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution, and the pickled nickel sheet is cleaned to obtain a pre-nickel sheet. , obtain the reaction solute for configuring the solution, wherein the reaction solute includes 0.99mmol nickel chloride hexahydrate, 0.33mmol ferric nitrate nonahydrate, 5mmol ammonium fluoride and 5mmol urea, use the reaction solute and the pre-obtained 30ml deionized water to configure the reaction solvent, place the reaction solvent and the pre-nickel sheet in a pre-confirmed polytetrafluoroethylene liner, introduce the polytetrafluoroethylene liner with the reaction solvent and the pre-nickel sheet into a pre-constructed high-pressure reactor for hydrothermal reaction, wherein the hydrothermal reaction temperature is set to 120 degrees Celsius, the hydrothermal reaction time is 12 hours, and after confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner with the reaction solvent and the pre-nickel sheet is placed The olefin lining is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaning reaction nickel sheet. After confirming that the cleaning reaction nickel sheet is a preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out in the target reaction nickel sheet to obtain a reference catalyst. The reference catalyst and the comparison reaction nickel sheet are used to obtain a reference comparison curve. It can be seen that the present invention synthesizes the required oxygen evolution reaction electrocatalyst, i.e., the target reaction nickel sheet, through a series of experimental steps, and verifies that the target reaction nickel sheet can meet the function of the catalyst by constructing a reference comparison curve. Therefore, the main purpose of the present invention is to reduce the energy consumption required for cleaning the raw materials while preparing a high-value oxygen evolution reaction electrocatalyst. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1A schematic flow chart of a method for optimizing preparation parameters of a nickel-iron-based electrocatalytic material according to one embodiment of the present invention;

[0067] Figure 2 A functional module diagram of a system for optimizing parameters for preparing nickel-iron-based electrocatalytic materials according to one embodiment of the present invention;

[0068] Figure 3 A scanning electron microscope (SEM) photograph of a target reaction nickel sheet in a system for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials provided in one embodiment of the present invention;

[0069] Figure 4 Attenuated total reflectance (ATR) infrared spectra of a cleaning reaction nickel sheet, polyvinyl alcohol, and a target reaction nickel sheet in a preparation parameter optimization system for nickel-iron-based electrocatalytic materials provided by one embodiment of the present invention;

[0070] Figure 5 A reference comparison curve in a system for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials provided in one embodiment of the present invention;

[0071] Figure 6 The constant current potential-time curves of the cleaning reaction nickel sheet and the target reaction nickel sheet in the preparation parameter optimization system of the nickel-iron-based electrocatalytic material provided by one embodiment of the present invention;

[0072] Figure 7 A schematic structural diagram of an electronic device for implementing the method for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials provided in one embodiment of the present invention.

[0073] Description of reference numerals:

[0074] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0075] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0076] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0077] The embodiment of the present application provides a method for optimizing the preparation parameters of a nickel-iron-based electrocatalytic material. The execution subject of the method for optimizing the preparation parameters of the nickel-iron-based electrocatalytic material includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for optimizing the preparation parameters of the nickel-iron-based electrocatalytic material can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0078] Reference Figure 1 FIG. 1 is a flow chart of a method for optimizing the preparation parameters of a nickel-iron-based electrocatalytic material according to an embodiment of the present invention. In this embodiment, the method for optimizing the preparation parameters of the nickel-iron-based electrocatalytic material includes:

[0079] S1. Obtaining an initial nickel foam for preparing a catalyst, and dividing the initial nickel foam according to a preset initial size to obtain a plurality of divided nickel foam sheets.

[0080] It should be noted that the initial nickel foam refers to untreated nickel foam, and the segmented nickel foam sheets refer to the nickel foam obtained by cutting the initial nickel foam according to the initial size. For example, the initial size is a cylinder with a diameter of 2 cm. Therefore, the initial size can be used to cut multiple cylindrical segments of nickel foam with a diameter of 2 cm from the initial nickel foam. The present invention primarily aims to achieve the preparation of nickel-iron-based electrocatalytic materials and save the energy required for the preparation of nickel-iron-based electrocatalytic materials.

[0081] S2. Constructing a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, and obtaining an initial cleaning nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets.

[0082] Furthermore, the nickel sheet cleaning parameter database is constructed based on the plurality of segmented nickel foam sheets, including:

[0083] The following operations are performed on each of the plurality of segmented nickel foam sheets:

[0084] Obtaining an organic pollutant content set of the segmented nickel foam sheet, wherein the organic pollutant content set includes multiple organic pollutant nodes, and the organic pollutant nodes include organic pollutant names and organic pollutant contents;

[0085] Associating the organic pollutant contents in the organic pollutant content set to obtain classified data, aggregating the classified data to obtain a classified data set, identifying an organic pollutant name set in the classified data set, and obtaining an organic pollutant range set using the organic pollutant name set, wherein the organic pollutant range set includes multiple organic pollutant ranges, and the organic pollutant ranges correspond one-to-one to the organic pollutant names;

[0086] The classification data in the classification data set are normalized using the organic pollutant range set to obtain a normalized classification data set;

[0087] Use a pre-built clustering algorithm to cluster the normalized classification data set to obtain one or more cluster data sets. Perform the following operations on each of the one or more cluster data sets:

[0088] A plurality of reference nickel foam sheet groups are obtained according to a preset number of classifications and a plurality of segmented nickel foam sheets corresponding to the clustering data set, and the following operation is performed on each of the plurality of reference nickel foam sheet groups:

[0089] Obtaining an initial contaminant content using a reference nickel foam sheet group, obtaining a first cleaning time range for cleaning the nickel foam sheet, dividing the first cleaning time range to obtain a plurality of first cleaning times, and combining the plurality of first cleaning times and the plurality of reference nickel foam sheet groups to obtain a plurality of reference cleaning groups, wherein each of the plurality of reference cleaning groups includes a reference nickel foam sheet group and a first cleaning time;

[0090] For each of the multiple reference cleaning groups, perform the following operations:

[0091] After setting the time for ultrasonic cleaning of the reference nickel foam sheet group in the reference cleaning group by the pre-constructed cleaning unit as the first cleaning time in the reference cleaning group, the reference nickel foam sheet group is ultrasonically cleaned using the set cleaning unit to obtain a first cleaned nickel sheet group, obtaining a first pollutant content based on the first cleaned nickel sheet group, obtaining a pollutant content difference using the initial pollutant content and the first pollutant content, associating the pollutant content difference with the first cleaning time to obtain a cleaning fitting node, summarizing the cleaning fitting nodes to obtain a cleaning fitting node set, mapping all the cleaning fitting nodes in the cleaning fitting node set to a pre-constructed reference coordinate system to obtain a mapping coordinate point set, wherein the abscissa of the reference coordinate system is the first cleaning time, and the ordinate is the pollutant content difference, using the pre-constructed fitting algorithm, fitting the mapping coordinate point set into a time-cleanliness curve, and after identifying multiple first initial cleaning times in the time-cleanliness curve, performing the following operations on each of the multiple first initial cleaning times:

[0092] The first cleaning nickel sheet set corresponding to the first initial cleaning time is used as a reference nickel foam sheet set, and the process returns to the step of obtaining the initial contaminant content using the reference nickel foam sheet set until a plurality of second initial cleaning times are obtained. The following operations are performed for each of the plurality of second initial cleaning times:

[0093] The second cleaning nickel sheet group corresponding to the second initial cleaning time is used as the reference foam nickel sheet group, and the process returns to the step of obtaining the initial contaminant content using the reference foam nickel sheet group until multiple third cleaning nickel sheet groups are obtained. The following operations are performed on each of the multiple third cleaning nickel sheet groups:

[0094] Acquiring multiple cleaning organic matter contents based on the third cleaning nickel sheet group, wherein the cleaning organic matter contents correspond one-to-one to the divided foam nickel sheets;

[0095] After confirming that each of the multiple cleaning organic matter contents is the preset cleaning organic matter content, multiple first initial cleaning times and multiple second initial cleaning times are used to obtain a target cleaning time group, obtain the range of pollutants to be cleaned corresponding to the cluster data set, associate the target cleaning time group and the range of pollutants to be cleaned, obtain cleaning parameter data, summarize the cleaning parameter data, and obtain a nickel sheet cleaning parameter database.

[0096] It is understandable that the split nickel foam sheet may include organic pollutants. For example, during the production of nickel foam, it may come into contact with lubricating oil, rust-proof oil and other organic processing aids. Generally speaking, the pollutants present in the split nickel foam sheet may affect the reaction process of the split nickel foam sheet in preparing nickel-iron-based electrocatalytic materials. Therefore, before using the split nickel foam sheet to prepare nickel-iron-based electrocatalytic materials, the split nickel foam sheet needs to be cleaned in order to reduce the impact of pollutants in the split nickel foam sheet on the reaction. The second cleaned nickel sheet group refers to the reference nickel foam sheet group that has been cleaned twice.

[0097] It should be noted that the term "organic pollutant content" refers to the amount of organic pollutants present, and the term "organic pollutant name" refers to the name of the organic pollutant contained in the segmented nickel foam sheet. For example, if the segmented nickel foam sheet contains 0.5% benzene and 1% lubricating oil, both benzene and lubricating oil are organic pollutant names. 0.5% and 1% refer to the organic pollutant content. Generally speaking, the first cleaning time range can be divided evenly. Other techniques can achieve the same effect and are not discussed here.

[0098] Furthermore, the classification data refers to the organic pollutant content of all organic pollutants in the organic pollutant content collection. The classification data set refers to the collection of organic pollutant contents corresponding to multiple segmented nickel foam sheets. The organic pollutant range refers to the range of pollutants in the organic pollutants under normal circumstances, and the organic pollutant range corresponds to the organic pollutant name one by one. Using the organic pollutant range set to normalize the classification data in the classification data set, obtaining a normalized classification data set refers to: the organic pollutant range in the organic pollutant range collection, retrieving the organic pollutant content with the same organic pollutant name corresponding to the organic pollutant range in the classification data, and using the organic pollutant range to normalize the organic pollutant content, after normalizing each organic pollutant content in the classification data, obtaining normalized classification data, summarizing the normalized classification data, and obtaining a normalized classification data set. Optionally, minimum-maximum normalization is adopted, and the organic pollutant range is utilized to normalize the organic pollutant content. Other technologies can achieve the same effect, which will not be repeated here. The organic pollutant range set can be obtained by artificial setting, and other technologies can achieve the same effect, which will not be repeated here.

[0099] It should be explained that the purpose of clustering the normalized classification data set using a clustering algorithm is to classify the organic pollutant content that may exist in the nickel foam sheet, and to fit the parameters required for cleaning of this type of organic pollutants through the nickel foam sheet corresponding to the classified organic pollutant content, thereby saving the energy consumption required for cleaning the nickel foam sheet. Optionally, the k-means clustering algorithm is used as the clustering algorithm, and other technologies can achieve the same effect, which will not be repeated here. For example: the normalized classification data set includes 10 normalized classification data, and the k-means clustering algorithm can be used to cluster the normalized classification data in the normalized classification data set into 3 clusters, wherein the normalized classification data corresponding to each cluster constitute a clustered data set. Normalization before clustering can eliminate the influence of the ranges corresponding to different organic pollutants, thereby improving the accuracy of clustering the classification data.

[0100] It should be explained that the purpose of obtaining the reference cleaning group is to avoid the singleness of the experiment, thereby making the parameters obtained for cleaning the split nickel foam sheet more accurate. The first cleaning time range can be set based on experience. For example, when cleaning the split nickel foam sheet, the split nickel foam sheet can be cleaned for 5 to 20 minutes. The cleaning unit can be an ultrasonic cleaning machine. The method for obtaining the first pollutant content is the same as the method for obtaining the initial pollutant content, and will not be repeated here.

[0101] Furthermore, the fitting algorithm refers to an algorithm that can fit multiple discrete points into a curve, for example, the least squares method. The range of pollutants to be cleaned refers to the union of the ranges of organic pollutants in the clustered data set. Generally speaking, the present invention stipulates that the segmented nickel foam sheet needs to be cleaned twice, and its purpose is to obtain a clean segmented nickel foam sheet, which includes but is not limited to: removing pollutants in the gaps of the segmented nickel foam sheet, removing surface impurities, removing residual chemicals, and increasing the surface activity of the segmented nickel foam sheet. Generally speaking, the method that can be used when the segmented nickel foam sheet is washed multiple times is the same as the method used for washing the segmented nickel foam sheet twice, and will not be repeated here.

[0102] It should be explained that the use of the reference nickel foam sheet group to obtain the initial pollutant content includes:

[0103] Extracting the organic pollutant content corresponding to each segmented nickel foam sheet in the reference nickel foam sheet group to obtain an analysis pollutant content set, and summarizing the organic pollutant content in the analysis pollutant content set according to the name of the organic pollutant to obtain multiple classified pollutant content sets;

[0104] The following operations are performed on each of the multiple classified pollutant content sets:

[0105] Calculate the mean of the organic pollutant content in the classified pollutant content set to obtain the classified pollutant mean. Perform the following operations on each organic pollutant content in the classified pollutant content set:

[0106] Calculate the absolute difference between the organic pollutant content and the classified pollutant mean to obtain the absolute classification difference, summarize the absolute classification difference to obtain an absolute classification difference set, summarize the absolute classification difference set to obtain multiple absolute classification difference sets, and calculate the initial pollutant content based on the multiple absolute classification difference sets.

[0107] For example, there are 3 segmented nickel foam sheets in the reference nickel foam sheet group, and each segmented nickel foam sheet includes 4 organic pollutant contents. The analyzed pollutant content set refers to the set of organic pollutant contents included in each segmented nickel foam sheet. By summarizing and analyzing the pollutant contents using the names of organic matter, 4 classified pollutant content sets can be obtained, and each classified pollutant content set corresponds to an organic pollutant name.

[0108] It is understandable that the calculation formula for the initial pollutant content based on multiple absolute classification difference sets is as follows:

[0109]

[0110] Among them, R represents the initial pollutant content, u represents the number of absolute classification difference sets in a total of u absolute classification difference sets, ωk Indicates the preset kth coefficient, and this coefficient is related to the name of the organic pollutant. represents the pollutant content equivalent corresponding to the kth absolute classification difference set in multiple absolute classification difference sets, c i 、c j They represent the i-th absolute classification difference and the j-th absolute classification difference corresponding to the k-th absolute classification difference set, respectively, w j Indicates the organic pollutant content corresponding to the jth absolute classification difference.

[0111] Furthermore, when setting the coefficient, it can be set based on the difficulty of cleaning the organic pollutants. Alternatively, after analyzing the physical and chemical properties of the organic pollutants to obtain the octanol-water partition coefficient, the difficulty of cleaning the organic pollutants can be determined based on the octanol-water partition coefficient. This is a prior art technique and will not be further described here. The pollutant content equivalent refers to the contribution of the organic pollutant content to the initial pollutant content.

[0112] It should be explained that a plurality of first initial cleaning times are identified in the time-cleanliness curve, including:

[0113] Using a preset first extraction step, sequentially identifying time-cleanliness nodes in the time-cleanliness curve, and using the time-cleanliness nodes to obtain a cleaning rate in the time-cleanliness curve, wherein the cleaning rate is a derivative of the time-cleanliness node at the time-cleanliness curve;

[0114] Summarizing the cleaning rates to obtain a cleaning rate set, identifying a maximum cleaning rate in the cleaning rate set to obtain a reference cleaning rate, calculating a product of the reference cleaning rate and a preset reference ratio to obtain a screening cleaning rate, and using the screening cleaning rate to screen out one or more target cleaning rate sets from the cleaning rate set, wherein target cleaning rates in the target cleaning rate sets are all greater than or equal to the screening cleaning rate;

[0115] For each of one or more target cleaning rate sets, the following operations are performed:

[0116] Based on the target cleaning rate set, the target analysis curve is intercepted from the time-cleanliness curve. The target analysis nodes are identified in sequence in the target analysis curve using the preset second extraction step. The target classification rate is calculated using the target analysis nodes. The calculation formula is as follows:

[0117] V=αf(t)′+βf(t)″

[0118] Where V represents the target classification rate, α and β are preset coefficients, f(t)′ and f(t)″ represent the target analysis curve, the first-order derivative and the second-order derivative corresponding to the target analysis node, respectively, and t represents time;

[0119] The target classification rates are aggregated to obtain a target classification rate set, a target classification sequence is obtained based on the target classification rate set, and a plurality of first initial cleaning times are obtained using the target classification sequence.

[0120] It should be understood that a time-cleanliness node refers to a point identified in the time-cleanliness curve using the first extraction step, and the absolute difference between the times corresponding to two adjacent time-cleanliness nodes is the first extraction step. The purpose of obtaining the screening cleaning rate is to identify multiple points with higher cleaning rates in the cleaning rate set. Here, the points with higher cleaning rates refer to the target cleaning rates in the target cleaning rate set. The target cleaning rate set includes multiple adjacent time-cleanliness nodes. Therefore, using the target cleaning rate set, it is possible to extract a target analysis curve from the time-cleanliness curve, where the target analysis curve is the shortest curve that includes multiple time-cleanliness nodes corresponding to the target cleaning rate set.

[0121] It should be explained that the present invention uses the first extraction step to confirm the initial one or more target analysis curves in the time-cleanliness curve, and then uses the second extraction step to confirm more detailed target analysis nodes in the target analysis curve. The method of obtaining the target analysis nodes is the same as the method of obtaining the time-cleanliness nodes, which will not be repeated here.

[0122] It is understandable that the target classification rate is used to represent the cleaning rate and the rising trend of the cleaning rate. When the cleaning rate is large or the rising trend of the cleaning rate is large, the calculated target classification rate will be large. Therefore, in the present invention: based on the target classification rate set, a target classification sequence is obtained, and the target classification sequence is used to obtain multiple first initial cleaning times, including:

[0123] Sort the target classification rates in descending order to obtain a target classification sequence;

[0124] A preset interception threshold is used to identify a plurality of first initial cleaning times in the target classification sequence, and a target classification rate corresponding to each first initial cleaning time is greater than or equal to the interception threshold.

[0125] Furthermore, the method of obtaining a target cleaning time group by using a plurality of first initial cleaning times and a plurality of second initial cleaning times includes:

[0126] The following operations are performed for each of the plurality of first initial cleaning times:

[0127] Multiple second target cleaning times are obtained using multiple second initial cleaning times corresponding to the first initial cleaning time, and initial energy consumption values are obtained using a pre-built energy consumption function, the first initial cleaning time, and multiple second target cleaning times. The initial energy consumption values are summarized to obtain an initial energy consumption value set, and the minimum initial energy consumption value is identified in the initial energy consumption value set to obtain the target energy consumption value, wherein the first initial cleaning time and the second initial cleaning time corresponding to the target energy consumption value constitute the target cleaning time group.

[0128] It should be understood that the second initial cleaning time is obtained in the same manner as the first cleaning time and will not be described in detail here. The second target cleaning time is obtained in the same manner as the first initial cleaning time and will not be described in detail here. The energy consumption function refers to a function used to express the change in energy consumption over time under specific operating conditions. Here, time refers to the cleaning time, and energy consumption refers to the energy consumption required to clean and split the nickel foam sheet. Optionally, the energy consumption function is obtained using a neural network model.

[0129] Furthermore, the initial energy consumption value is obtained using a pre-built energy consumption function, a first initial cleaning time and multiple second target cleaning times, including: using the energy consumption function to calculate the sum of the energy consumption values corresponding to the first initial cleaning time and each of the multiple second target cleaning times, obtaining a set of filtered energy consumption values, and identifying the minimum filtered energy consumption value in the set of filtered energy consumption values to obtain the initial energy consumption value.

[0130] It should be explained that the step of confirming that each of the plurality of cleaning organic matter contents is a preset cleaning organic matter content includes:

[0131] The following operations are performed for each of the plurality of cleaning organic matter contents:

[0132] A clean organic matter threshold is obtained based on the organic pollutant name corresponding to the clean organic matter content, and after confirming that each of the multiple clean organic matter contents is less than or equal to the corresponding clean organic matter threshold, the clean organic matter content is confirmed as the clean organic matter content.

[0133] Furthermore, the organic matter cleaning threshold refers to the content of a certain organic matter when it is determined that the organic matter is cleaned. For example, if the organic matter cleaning threshold of a certain organic matter is 10 ppm, then when the organic matter cleaning content is less than the organic matter cleaning threshold, it is determined that the organic matter has been cleaned.

[0134] It should be explained that the method of obtaining the initial cleaned nickel sheet by using the nickel sheet cleaning parameter database and the split foam nickel sheet includes: obtaining the organic pollutant content set of the split foam nickel sheet used to obtain the initial cleaned nickel sheet, using the organic pollutant content set to retrieve the corresponding cleaning time group in the nickel sheet cleaning parameter database, cleaning the split foam nickel sheet under the conditions corresponding to the cleaning time group to obtain the initial cleaned nickel sheet, wherein the range of pollutants to be cleaned corresponding to the retrieved cleaning time group includes the organic pollutant content set.

[0135] Further, see Figure 3 A scanning electron microscope (SEM) image of the target reaction nickel flakes is shown. The target reaction nickel flakes have a microscopic morphology of layered nanosheet arrays. This three-dimensional open structure provides abundant active sites and efficient mass transfer channels, laying the structural foundation for subsequent electrocatalytic reactions.

[0136] S3. Cleaning the initial cleaning nickel sheet and ultrasonically cleaning the cleaned initial cleaning nickel sheet to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and ultrasonically cleaning the target cleaning nickel sheet using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution.

[0137] It should be explained that cleaning the initial cleaning nickel sheet refers to cleaning the initial cleaning nickel sheet with deionized water. Ultrasonic cleaning of the cleaned initial cleaning nickel sheet refers to cleaning the cleaned initial cleaning nickel sheet in an ultrasonic cleaning machine, which is a prior art and will not be described in detail here.

[0138] For example, after the initial cleaning nickel sheet is washed three times with deionized water, the washed initial cleaning nickel sheet is placed in an ultrasonic cleaning machine and washed with deionized water in the ultrasonic cleaning machine. Thereafter, the initial cleaning nickel sheet ultrasonically cleaned with deionized water is placed in a 1 mol / L hydrochloric acid aqueous solution for ultrasonic cleaning to obtain an acid-washed nickel sheet.

[0139] S4. Clean the pickled nickel sheet to obtain a pre-nickel sheet, and obtain a reaction solute for preparing a solution, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea.

[0140] It should be explained that the cleaning of the pickled nickel sheet refers to cleaning the pickled nickel sheet with deionized water, which is a prior art and will not be described in detail here. mmol refers to millimole, a unit of measure commonly used in chemistry, medicine, and biology.

[0141] S5. Prepare a reaction solvent using the reaction solute and 30 ml of pre-obtained deionized water, place the reaction solvent and the pre-nickel sheet in a pre-confirmed polytetrafluoroethylene liner, and introduce the polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet into a pre-constructed high-pressure reactor for a hydrothermal reaction, wherein the hydrothermal reaction temperature is set to 120 degrees Celsius and the hydrothermal reaction time is set to 12 hours.

[0142] It should be explained that the technology of preparing the reaction solvent by using the reaction solute and 30 ml of deionized water is prior art and will not be described in detail here. Among them, the hydrothermal reaction is prior art and will not be described in detail here.

[0143] S6. After confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet. After confirming that the cleaned reaction nickel sheet is a preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0144] It should be explained that natural cooling refers to cooling the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet under room temperature. The detection temperature is used to express the effect of cooling the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet. Generally speaking, the temperature threshold can be set in combination with the room temperature, and other technologies can achieve the same effect, which will not be described here. Cleaning the initial reaction nickel sheet to obtain a cleaned reaction nickel sheet refers to cleaning the initial reaction nickel sheet with deionized water, which is a prior art and will not be described here.

[0145] It is understandable that the confirmation that the cleaning reaction nickel sheet is a preset target reaction nickel sheet includes:

[0146] An electrodeposition solution was prepared using 100 mg of pre-obtained polyvinyl alcohol powder and 100 ml of deionized water, and constant current deposition was performed on the cleaned reaction nickel sheet using the electrodeposition solution and a pre-obtained three-electrode electrochemical cell to obtain a deposited nickel sheet, wherein the constant current deposition time was set to 5 minutes, the constant current deposition current was set to 5 mA, and the three-electrode electrochemical cell used Ag / AgCl as a reference electrode, a graphite rod as a counter electrode, and the cleaned reaction nickel sheet as a working electrode;

[0147] Acquire an attenuated total reflection infrared spectrum using a pre-built near-infrared spectrometer, a pre-acquired germanium crystal, and a deposited nickel sheet, identify the attenuated total reflection infrared spectrum, and obtain an identification peak set, wherein the identification peak set includes a plurality of identification peaks;

[0148] If the identification peak set includes: OH- Broad peak, H2O peak, peak and CO peak, the cleaned reaction nickel sheet is confirmed as the target reaction nickel sheet.

[0149] Furthermore, using a pre-built near-infrared spectrometer, a pre-acquired germanium crystal and a deposited nickel sheet to obtain an attenuated total reflection infrared spectrum refers to using a near-infrared spectrometer to analyze the surface of the cleaned reaction nickel sheet under the condition of a germanium crystal to obtain an attenuated total reflection infrared spectrum, which is a prior art and will not be described in detail here. Optionally, the identification peak set can be obtained by manual identification, and other technologies can achieve the desired effect, which will not be described in detail here. The technology of constant current deposition is a prior art and will not be described in detail here. For general knowledge, refer to Figure 4 ,in, Figure 4 Attenuated total reflectance (ATR) infrared spectra of the cleaning reaction nickel sheet, polyvinyl alcohol and the target reaction nickel sheet. Figure 4 It shows that polyvinyl alcohol is successfully deposited into the cleaned reaction nickel sheet to obtain the target reaction nickel sheet.

[0150] It needs to be explained that OH - Broad peak, H2O peak, The peak and CO peak refer to the broad peak of hydroxyl anion, the absorption peak of water molecules, the carbonate ion peak and the carbon-oxygen single bond vibration peak, respectively.

[0151] It should be understood that the use of the reference catalyst and the comparative reaction nickel sheet to obtain a reference comparison curve includes:

[0152] Linear sweep voltammetry tests were performed using a pre-confirmed simulated seawater solution as the solution, a comparative reaction nickel sheet as the working electrode, a pre-obtained graphite rod as the counter electrode, and a pre-obtained Ag / AgCl as the reference electrode to obtain the experimental reaction curves.

[0153] A reference reaction curve and a mid-way reaction curve are obtained based on a reference catalyst and an initial reaction nickel sheet, respectively. The experimental reaction curve, the reference reaction curve and the mid-way reaction curve are mapped to a pre-constructed coordinate system to obtain a reference comparison curve.

[0154] Furthermore, the technology for obtaining the experimental reaction curve is prior art and will not be described in detail here. The reference catalyst used in the embodiment of the present invention is a noble metal catalyst ruthenium oxide. The method for obtaining the intermediate reaction curve and the reference reaction curve is the same as the method for obtaining the experimental reaction curve and will not be described in detail here. Figure 5 As shown, Figure 5 is the reference comparison curve. Figure 5 The results show that when the current density is low, the performance of NiFe-LDH sample is slightly better than that of PVA / NiFe-LDH. However, when the current density is high (greater than 220 mA cm -2), when the current density is close to the industrial level, the performance of PVA / NiFe-LDH sample is much better than that of NiFe-LDH, such as at ultra-high current density (1A cm -2 and 2A cm -2 ), the overpotential of PVA / NiFe-LDH was 385mV and 507mV, and the overpotential of NiFe-LDH was 456mV and 670mV. The overpotential of PVA / NiFe-LDH was lower, and the addition of polyvinyl alcohol significantly improved its catalytic activity.

[0155] It should be explained that the nickel sheet for cleaning reaction in the drawings of the present invention is: NiFe-LDH, the target nickel sheet for reaction is PVA / NiFe-LDH, and the reference catalyst is RuO2. Figure 6 As shown, Figure 6 The constant current potential-time curves of the cleaning reaction nickel sheet and the target reaction nickel sheet. It can be seen that at a high current density (2A cm -2 ), the potential of the NiFe-LDH sample continued to rise after 160 hours of continuous work, and it could only work continuously for 250 hours, while the PVA / NiFe-LDH had been working continuously for about 700 hours, and there was still no potential rising trend. PVA / NiFe-LDH has excellent oxygen evolution reaction stability in alkaline seawater. Furthermore, the deposited polyvinyl alcohol layer plays a physical barrier protection role, ensuring the stable operation of the catalyst in the extremely harsh seawater electrolysis environment.

[0156] In order to solve the problems described in the background technology, the present invention constructs a nickel sheet cleaning parameter database based on the multiple segmented nickel foam sheets, and uses the nickel sheet cleaning parameter database and the segmented nickel foam sheets to obtain the initial cleaning nickel sheet. It can be seen that the present invention considers that the content and type of pollutants corresponding to different segmented nickel foam sheets may be different before cleaning the segmented nickel foam sheets. Therefore, before obtaining the initial cleaning nickel sheet, the present invention considers building a cleaning parameter database, and when building the cleaning parameter database, it also considers that only cleaning the segmented nickel foam sheet once may lead to incomplete cleaning results. Therefore, multiple cleaning methods are used to clean the segmented nickel foam sheet, and after confirming the use When realizing the parameters for cleaning the split foam nickel sheet, the energy consumption required for cleaning the split foam nickel sheet is also considered. Then, the cleaning of the split foam nickel sheet is realized with the lowest energy consumption, which can reduce the energy consumption required for obtaining the initial cleaning nickel sheet. The present invention cleans the initial cleaning nickel sheet and ultrasonically cleans the initial cleaning nickel sheet after cleaning to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution, and the pickled nickel sheet is cleaned to obtain a pre-nickel sheet. , obtain the reaction solute for configuring the solution, wherein the reaction solute includes 0.99mmol nickel chloride hexahydrate, 0.33mmol ferric nitrate nonahydrate, 5mmol ammonium fluoride and 5mmol urea, use the reaction solute and the pre-obtained 30ml deionized water to configure the reaction solvent, place the reaction solvent and the pre-nickel sheet in a pre-confirmed polytetrafluoroethylene liner, introduce the polytetrafluoroethylene liner with the reaction solvent and the pre-nickel sheet into a pre-constructed high-pressure reactor for hydrothermal reaction, wherein the hydrothermal reaction temperature is set to 120 degrees Celsius, the hydrothermal reaction time is 12 hours, and after confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner with the reaction solvent and the pre-nickel sheet is placed The olefin lining is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaning reaction nickel sheet. After confirming that the cleaning reaction nickel sheet is a preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out in the target reaction nickel sheet to obtain a reference catalyst. The reference catalyst and the comparison reaction nickel sheet are used to obtain a reference comparison curve. It can be seen that the present invention synthesizes the required oxygen evolution reaction electrocatalyst, i.e., the target reaction nickel sheet, through a series of experimental steps, and verifies that the target reaction nickel sheet can meet the function of the catalyst by constructing a reference comparison curve. Therefore, the main purpose of the present invention is to reduce the energy consumption required for cleaning the raw materials while preparing a high-value oxygen evolution reaction electrocatalyst.

[0157] like Figure 21 is a functional module diagram of a system for optimizing parameters for preparing nickel-iron-based electrocatalytic materials according to an embodiment of the present invention.

[0158] The nickel-iron-based electrocatalytic material preparation parameter optimization system 100 of the present invention can be installed in an electronic device. Depending on the functions to be implemented, the nickel-iron-based electrocatalytic material preparation parameter optimization system 100 can include a material preparation module 101, a material impurity removal module 102, a material preparation module 103, and a performance testing module 104. The modules of the present invention, also referred to as units, refer to a series of computer program segments that can be executed by an electronic device processor and can perform a fixed function, which are stored in the memory of the electronic device.

[0159] The material preparation module 101 is used to obtain an initial nickel foam sheet for preparing a catalyst, and to divide the initial nickel foam sheet into a plurality of divided nickel foam sheets according to a preset initial size;

[0160] The material impurity removal module 102 is configured to construct a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, wherein the nickel sheet cleaning parameter database includes a first cleaning database, a second cleaning database, and a third cleaning database, and to obtain an initial cleaned nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets;

[0161] The material preparation module 103 is used to clean the initial cleaning nickel sheet and ultrasonically clean the initial cleaning nickel sheet after cleaning to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution;

[0162] The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea;

[0163] A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours.

[0164] The performance detection module 104 is used to confirm that after the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet, and after confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0165] In detail, the modules in the nickel-iron based electrocatalytic material preparation parameter optimization system 100 in the embodiment of the present invention are used in the same manner as above. Figure 1 The same technical means are used as the method for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials described in , and can produce the same technical effects, so they will not be repeated here.

[0166] like Figure 7 1 is a schematic diagram of the structure of an electronic device for implementing a method for optimizing preparation parameters of nickel-iron-based electrocatalytic materials provided by one embodiment of the present invention.

[0167] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a method program for optimizing preparation parameters of nickel-iron-based electrocatalytic materials.

[0168] Wherein, the memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example: SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the preparation parameter optimization method program of the nickel-iron-based electrocatalytic material, but can also be used to temporarily store data that has been output or is to be output.

[0169] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor 10 is the control core (Control Unit) of the electronic device, and utilizes various interfaces and lines to connect the various components of the entire electronic device. It executes or executes the programs or modules stored in the memory 11 (such as the preparation parameter optimization method program for nickel-iron-based electrocatalytic materials, etc.), and calls the data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0170] The bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to enable communication between the memory 11 and at least one processor 10.

[0171] Figure 7 Only the electronic device with components is shown, and it can be understood by those skilled in the art that Figure 7 The structure shown does not constitute a limitation on the electronic device 1 , and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0172] For example, although not shown, the electronic device 1 may further include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 via a power management system, thereby implementing functions such as charge management, discharge management, and power consumption management through the power management system. The power source may further include any components such as one or more DC or AC power sources, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, etc. The electronic device 1 may further include a variety of sensors, a Bluetooth module, a Wi-Fi module, etc., which will not be described in detail here.

[0173] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0174] Optionally, the electronic device 1 may further include a user interface, which may be a display or an input unit (such as a keyboard). Optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0175] The program for optimizing the preparation parameters of nickel-iron-based electrocatalytic materials stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When executed in the processor 10, the following can be achieved:

[0176] Obtaining an initial nickel foam for preparing a catalyst, and dividing the initial nickel foam according to a preset initial size to obtain a plurality of divided nickel foam sheets;

[0177] Building a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, and obtaining an initial cleaning nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets;

[0178] The initial cleaning nickel sheet is cleaned, and the initial cleaning nickel sheet after cleaning is ultrasonically cleaned to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain an pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution;

[0179] The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea;

[0180] A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours.

[0181] After confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet. After confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0182] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 7 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0183] Furthermore, if the modules / units integrated into the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0184] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program. When the computer program is executed by a processor of an electronic device, the computer program can implement:

[0185] Obtaining an initial nickel foam for preparing a catalyst, and dividing the initial nickel foam according to a preset initial size to obtain a plurality of divided nickel foam sheets;

[0186] Building a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, and obtaining an initial cleaning nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets;

[0187] The initial cleaning nickel sheet is cleaned, and the initial cleaning nickel sheet after cleaning is ultrasonically cleaned to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain an pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution;

[0188] The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea;

[0189] A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours.

[0190] After confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet. After confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

[0191] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only exemplary, and actual implementations may have other division methods.

[0192] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected to achieve the purpose of the solution of this embodiment according to actual needs.

[0193] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or hardware plus software functional modules.

[0194] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0195] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing the preparation parameters of nickel-iron based electrocatalytic materials, characterized in that: The method comprises: Obtaining an initial nickel foam for preparing a catalyst, and dividing the initial nickel foam according to a preset initial size to obtain a plurality of divided nickel foam sheets; Building a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, and obtaining an initial cleaning nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets; The initial cleaning nickel sheet is cleaned, and the initial cleaning nickel sheet after cleaning is ultrasonically cleaned to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and the target cleaning nickel sheet is ultrasonically cleaned using a pre-constructed pickling solution to obtain an pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution; The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea; A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours. After confirming that the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, and the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet. After confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

2. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 1, wherein: The method of constructing a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets includes: The following operations are performed on each of the plurality of segmented nickel foam sheets: Obtaining an organic pollutant content set of the segmented nickel foam sheet, wherein the organic pollutant content set includes multiple organic pollutant nodes, and the organic pollutant nodes include organic pollutant names and organic pollutant contents; Associating the organic pollutant contents in the organic pollutant content set to obtain classified data, aggregating the classified data to obtain a classified data set, identifying an organic pollutant name set in the classified data set, and obtaining an organic pollutant range set using the organic pollutant name set, wherein the organic pollutant range set includes multiple organic pollutant ranges, and the organic pollutant ranges correspond one-to-one to the organic pollutant names; The classification data in the classification data set are normalized using the organic pollutant range set to obtain a normalized classification data set; Use a pre-built clustering algorithm to cluster the normalized classification data set to obtain one or more cluster data sets. Perform the following operations on each of the one or more cluster data sets: A plurality of reference nickel foam sheet groups are obtained according to a preset number of classifications and a plurality of segmented nickel foam sheets corresponding to the clustering data set, and the following operation is performed on each of the plurality of reference nickel foam sheet groups: Obtaining an initial contaminant content using a reference nickel foam sheet group, obtaining a first cleaning time range for cleaning the nickel foam sheet, dividing the first cleaning time range to obtain a plurality of first cleaning times, and combining the plurality of first cleaning times and the plurality of reference nickel foam sheet groups to obtain a plurality of reference cleaning groups, wherein each of the plurality of reference cleaning groups includes a reference nickel foam sheet group and a first cleaning time; For each of the multiple reference cleaning groups, perform the following operations: After setting the time for ultrasonic cleaning of the reference nickel foam sheet group in the reference cleaning group by the pre-constructed cleaning unit as the first cleaning time in the reference cleaning group, the reference nickel foam sheet group is ultrasonically cleaned using the set cleaning unit to obtain a first cleaned nickel sheet group, obtaining a first pollutant content based on the first cleaned nickel sheet group, obtaining a pollutant content difference using the initial pollutant content and the first pollutant content, associating the pollutant content difference with the first cleaning time to obtain a cleaning fitting node, summarizing the cleaning fitting nodes to obtain a cleaning fitting node set, mapping all the cleaning fitting nodes in the cleaning fitting node set to a pre-constructed reference coordinate system to obtain a mapping coordinate point set, wherein the abscissa of the reference coordinate system is the first cleaning time, and the ordinate is the pollutant content difference, using the pre-constructed fitting algorithm, fitting the mapping coordinate point set into a time-cleanliness curve, and after identifying multiple first initial cleaning times in the time-cleanliness curve, performing the following operations on each of the multiple first initial cleaning times: The first cleaning nickel sheet set corresponding to the first initial cleaning time is used as a reference nickel foam sheet set, and the process returns to the step of obtaining the initial contaminant content using the reference nickel foam sheet set until a plurality of second initial cleaning times are obtained. The following operations are performed for each of the plurality of second initial cleaning times: The second cleaning nickel sheet group corresponding to the second initial cleaning time is used as the reference foam nickel sheet group, and the process returns to the step of obtaining the initial contaminant content using the reference foam nickel sheet group until multiple third cleaning nickel sheet groups are obtained. The following operations are performed on each of the multiple third cleaning nickel sheet groups: Acquiring multiple cleaning organic matter contents based on the third cleaning nickel sheet group, wherein the cleaning organic matter contents correspond one-to-one to the divided foam nickel sheets; After confirming that each of the multiple cleaning organic matter contents is the preset cleaning organic matter content, multiple first initial cleaning times and multiple second initial cleaning times are used to obtain a target cleaning time group, obtain the range of pollutants to be cleaned corresponding to the cluster data set, associate the target cleaning time group and the range of pollutants to be cleaned, obtain cleaning parameter data, summarize the cleaning parameter data, and obtain a nickel sheet cleaning parameter database.

3. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 2, wherein: The method of obtaining the initial pollutant content by using the reference nickel foam sheet group includes: Extracting the organic pollutant content corresponding to each segmented nickel foam sheet in the reference nickel foam sheet group to obtain an analysis pollutant content set, and summarizing the organic pollutant content in the analysis pollutant content set according to the name of the organic pollutant to obtain multiple classified pollutant content sets; The following operations are performed on each of the multiple classified pollutant content sets: Calculate the mean of the organic pollutant content in the classified pollutant content set to obtain the classified pollutant mean. Perform the following operations on each organic pollutant content in the classified pollutant content set: Calculate the absolute difference between the organic pollutant content and the classified pollutant mean to obtain the absolute classification difference, summarize the absolute classification difference to obtain an absolute classification difference set, summarize the absolute classification difference set to obtain multiple absolute classification difference sets, and calculate the initial pollutant content based on the multiple absolute classification difference sets.

4. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 3, wherein: The initial pollutant content is calculated based on multiple absolute classification difference sets, and the calculation formula is as follows: Among them, R represents the initial pollutant content, u represents the number of absolute classification difference sets in a total of u absolute classification difference sets, ω k Indicates the preset kth coefficient, and this coefficient is related to the name of the organic pollutant. represents the pollutant content equivalent corresponding to the kth absolute classification difference set in multiple absolute classification difference sets, c i 、c j They represent the i-th absolute classification difference and the j-th absolute classification difference corresponding to the k-th absolute classification difference set, respectively, w j Indicates the organic pollutant content corresponding to the jth absolute classification difference.

5. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 4, wherein: The step of identifying a plurality of first initial cleaning times in the time-cleanliness curve comprises: Using a preset first extraction step, sequentially identifying time-cleanliness nodes in the time-cleanliness curve, and using the time-cleanliness nodes to obtain a cleaning rate in the time-cleanliness curve, wherein the cleaning rate is a derivative of the time-cleanliness node at the time-cleanliness curve; Summarizing the cleaning rates to obtain a cleaning rate set, identifying a maximum cleaning rate in the cleaning rate set to obtain a reference cleaning rate, calculating a product of the reference cleaning rate and a preset reference ratio to obtain a screening cleaning rate, and using the screening cleaning rate to screen out one or more target cleaning rate sets from the cleaning rate set, wherein target cleaning rates in the target cleaning rate sets are all greater than or equal to the screening cleaning rate; For each of one or more target cleaning rate sets, the following operations are performed: Based on the target cleaning rate set, the target analysis curve is intercepted from the time-cleanliness curve. The target analysis nodes are identified in sequence in the target analysis curve using the preset second extraction step. The target classification rate is calculated using the target analysis nodes. The calculation formula is as follows: V=αf(t)′+βf(t)″ Where V represents the target classification rate, α and β are preset coefficients, f(t)′ and f(t)″ represent the target analysis curve, the first-order derivative and the second-order derivative corresponding to the target analysis node, respectively, and t represents time; The target classification rates are aggregated to obtain a target classification rate set, a target classification sequence is obtained based on the target classification rate set, and a plurality of first initial cleaning times are obtained using the target classification sequence.

6. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 5, wherein: The method of obtaining a target cleaning time group by using a plurality of first initial cleaning times and a plurality of second initial cleaning times includes: The following operations are performed for each of the plurality of first initial cleaning times: Multiple second target cleaning times are obtained using multiple second initial cleaning times corresponding to the first initial cleaning time, and initial energy consumption values are obtained using a pre-built energy consumption function, the first initial cleaning time, and multiple second target cleaning times. The initial energy consumption values are summarized to obtain an initial energy consumption value set, and the minimum initial energy consumption value is identified in the initial energy consumption value set to obtain the target energy consumption value, wherein the first initial cleaning time and the second initial cleaning time corresponding to the target energy consumption value constitute the target cleaning time group.

7. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 6, wherein: The step of confirming that the cleaning reaction nickel sheet is a preset target reaction nickel sheet includes: An electrodeposition solution was prepared using 100 mg of pre-obtained polyvinyl alcohol powder and 100 ml of deionized water, and constant current deposition was performed on the cleaned reaction nickel sheet using the electrodeposition solution and a pre-obtained three-electrode electrochemical cell to obtain a deposited nickel sheet, wherein the constant current deposition time was set to 5 minutes, the constant current deposition current was set to 5 mA, and the three-electrode electrochemical cell used Ag / AgCl as a reference electrode, a graphite rod as a counter electrode, and the cleaned reaction nickel sheet as a working electrode; Acquire an attenuated total reflection infrared spectrum using a pre-built near-infrared spectrometer, a pre-acquired germanium crystal, and a deposited nickel sheet, identify the attenuated total reflection infrared spectrum, and obtain an identification peak set, wherein the identification peak set includes a plurality of identification peaks; If the identification peak set includes: OH - Broad peak, H2O peak, peak and CO peak, the cleaned reaction nickel sheet is confirmed as the target reaction nickel sheet.

8. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 7, wherein: The method of obtaining a reference comparison curve using the reference catalyst and the comparative reaction nickel sheet includes: Linear sweep voltammetry tests were performed using a pre-confirmed simulated seawater solution as the solution, a comparative reaction nickel sheet as the working electrode, a pre-obtained graphite rod as the counter electrode, and a pre-obtained Ag / AgCl as the reference electrode to obtain the experimental reaction curves. A reference reaction curve and a mid-way reaction curve are obtained based on a reference catalyst and an initial reaction nickel sheet, respectively. The experimental reaction curve, the reference reaction curve and the mid-way reaction curve are mapped to a pre-constructed coordinate system to obtain a reference comparison curve.

9. The method for optimizing the preparation parameters of the nickel-iron based electrocatalytic material according to claim 8, wherein: The step of confirming that each of the plurality of cleaning organic matter contents is a preset cleaning organic matter content includes: The following operations are performed for each of the plurality of cleaning organic matter contents: A clean organic matter threshold is obtained based on the organic pollutant name corresponding to the clean organic matter content, and after confirming that each of the multiple clean organic matter contents is less than or equal to the corresponding clean organic matter threshold, the clean organic matter content is confirmed as the clean organic matter content.

10. A preparation parameter optimization system for nickel-iron based electrocatalytic materials, characterized in that: The system comprises: A material preparation module is used to obtain an initial nickel foam sheet for preparing a catalyst, and to segment the initial nickel foam sheet using a preset initial size to obtain a plurality of segmented nickel foam sheets; a material impurity removal module, configured to construct a nickel sheet cleaning parameter database based on the plurality of segmented nickel foam sheets, wherein the nickel sheet cleaning parameter database includes a first cleaning database, a second cleaning database, and a third cleaning database, and to obtain an initial cleaned nickel sheet using the nickel sheet cleaning parameter database and the segmented nickel foam sheets; a material preparation module, for cleaning the initial cleaning nickel sheet and ultrasonically cleaning the cleaned initial cleaning nickel sheet to obtain a target cleaning nickel sheet, wherein the time for ultrasonic cleaning of the initial cleaning nickel sheet is set to 10 minutes, and ultrasonically cleaning the target cleaning nickel sheet using a pre-constructed pickling solution to obtain a pickled nickel sheet, wherein the pickling solution is a 1M dilute hydrochloric acid solution; The acid-washed nickel sheet is cleaned to obtain a pre-nickel sheet, and a reaction solute for preparing a solution is obtained, wherein the reaction solute includes 0.99 mmol nickel chloride hexahydrate, 0.33 mmol ferric nitrate nonahydrate, 5 mmol ammonium fluoride, and 5 mmol urea; A reaction solvent was prepared using the reaction solute and 30 ml of pre-obtained deionized water. The reaction solvent and the pre-nickel sheet were placed in a pre-confirmed polytetrafluoroethylene liner. The polytetrafluoroethylene liner containing the reaction solvent and the pre-nickel sheet was introduced into a pre-built high-pressure reactor for a hydrothermal reaction. The hydrothermal reaction temperature was set at 120 degrees Celsius and the hydrothermal reaction time was set at 12 hours. The performance detection module is used to confirm that after the hydrothermal reaction is completed, the polytetrafluoroethylene liner containing the reaction solvent and the front nickel sheet is naturally cooled, and the detection temperature is obtained at a preset initial detection frequency. When the detection temperature reaches a preset temperature threshold, an initial reaction nickel sheet is obtained, the initial reaction nickel sheet is cleaned to obtain a cleaned reaction nickel sheet, and after confirming that the cleaned reaction nickel sheet is the preset target reaction nickel sheet, a comparison reaction nickel sheet is cut out from the target reaction nickel sheet to obtain a reference catalyst, and a reference comparison curve is obtained using the reference catalyst and the comparison reaction nickel sheet.

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