Industrial brine purification method, device, equipment and storage medium based on acid-base separation

Abstract

The present invention relates to artificial intelligence technology and discloses a method for purifying industrial brine based on acid-base separation, comprising: obtaining brine impurities and impurity content of industrial brine; determining the acid-base reagent corresponding to the brine impurities using a preset reagent classification model; establishing an acid-base elimination experiment and determining the reagent content of the acid-base reagent required to eliminate the brine impurities based on the experimental results; establishing an acid-base separation table and obtaining purified brine based on the acid-base separation table; analyzing the purified impurities in the purified brine, treating the purified impurities as brine impurities and returning to the step of determining the acid-base reagent using the reagent classification model until the purified impurities cannot be eliminated. Furthermore, the present invention relates to blockchain technology, and the impurity elimination table and brine impurities can be stored in blockchain nodes. The present invention also provides an industrial brine purification device, electronic device, and storage medium based on acid-base separation. The present invention can improve the purity of purified industrial brine.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an industrial brine purification method, device, electronic equipment and computer-readable storage medium based on acid-base separation. Background Art

[0002] my country has a vast territory, numerous salt lakes, and abundant underground brine. The purification and development of industrial brine is of great significance to socialist construction. To improve the efficiency and purity of industrial brine purification, it is necessary to use acid-base separation methods and select appropriate acid-base reagents to purify industrial brine.

[0003] Existing industrial brine purification technologies mostly rely on solar evaporation to remove the vast majority of impurities. This method is highly weather-sensitive. For example, during the rainy season, industrial brine purification methods are affected. In practice, solar evaporation is time-consuming, with no control over the purification rate. It is also susceptible to external influences, potentially resulting in prolonged purification times and lower purity. Summary of the Invention

[0004] The present invention provides an industrial brine purification method, device and computer-readable storage medium based on acid-base separation, the main purpose of which is to solve the problem of low purity when purifying industrial brine.

[0005] To achieve the above object, the present invention provides a method for purifying industrial brine based on acid-base separation, comprising:

[0006] Obtaining brine impurities of preset industrial brine and the impurity content of different brine impurities;

[0007] Utilizing the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and utilizing the reagent classification model to determine the acid and base reagents for eliminating the impurities corresponding to the brine impurities;

[0008] Establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0009] Fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine;

[0010] The purified impurities in the purified brine are analyzed using a preset brine detection instrument, and the purified impurities are regarded as brine impurities and the step of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities is returned until the purified impurities cannot be eliminated.

[0011] Optionally, the method of optimizing and training a preset blank model using data in a preset impurity elimination table to obtain a reagent classification model includes:

[0012] Input the data in the impurity elimination table as model training samples into a preset initialization model to obtain an output value of the initialization model;

[0013] Calculating the error between the output value of the initialization model and the preset classification label;

[0014] Adjusting the parameters of the initialization model according to the error value until the error value is within a preset value range;

[0015] The adjusted initialization model is determined as the reagent classification model.

[0016] Optionally, calculating an error value between an output value of the initialization model and a preset classification label includes:

[0017] The error between the output value of the initialization model and the preset classification label is calculated using the following error calculation formula:

[0018]

[0019] in, Indicates the error value, Indicates the number of model training samples during model optimization training. Indicates the sample parameters corresponding to the model training samples, represents the model training sample, Represents the similarity vector matrix after the model training sample dimension is expanded, Indicates the model training samples.

[0020] Optionally, the step of using the reagent classification model to determine the acid-base reagents for eliminating the impurities corresponding to the brine impurities includes:

[0021] Extracting key impurities from the brine using a preset neural network model;

[0022] Using the reagent classification model to classify the key impurities a preset number of times to obtain a preliminary classification result;

[0023] The preliminary classification results are normalized and calculated, and the results of the normalized calculation are determined as the acid-base reagent corresponding to the brine impurities for eliminating impurities.

[0024] Optionally, the extracting key impurities from the brine impurities using a preset neural network model includes:

[0025] converting the brine impurities into a matrix form to obtain an impurity matrix;

[0026] Using the neural network model to perform cross convolution and pooling processing on the impurity matrix to obtain low-dimensional feature information of the impurity matrix;

[0027] Mapping the low-dimensional feature information to a pre-constructed high-dimensional space to obtain high-dimensional feature information;

[0028] The high-dimensional feature information is screened using a preset activation function to obtain key impurities.

[0029] Optionally, the using the neural network model to perform cross convolution and pooling processing on the impurity matrix to obtain low-dimensional feature information of the impurity matrix includes:

[0030] Convolving the impurity matrix with a convolution kernel of a preset size to obtain a convolution matrix;

[0031] The convolution matrix is ​​pooled using a maximum value or minimum value method according to a preset pooling window to obtain low-dimensional feature information of the impurity matrix.

[0032] Optionally, establishing an acid-base elimination experiment according to the impurity content includes:

[0033] According to the impurity content, solutions containing only one type of brine impurity are prepared one by one, and acid and base reagents with preset contents are added dropwise to the solutions one by one;

[0034] After each drop of acid and alkali reagent, the impurity content of brine impurities in the solution is tested until the impurity content is less than the preset impurity content threshold;

[0035] Record the brine impurities when the impurity content is less than the preset impurity content threshold and the corresponding acid and alkali reagent addition content for eliminating the impurities, and return to the step of adding the preset acid and alkali reagent content one by one to the preset brine impurity solution containing only a certain corresponding impurity content until all brine impurities are recorded.

[0036] In order to solve the above problems, the present invention also provides an industrial brine purification device based on acid-base separation, the device comprising:

[0037] Impurity acquisition module: obtains brine impurities of preset industrial brine and the impurity content of different brine impurities;

[0038] Reagent analysis module: using the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and using the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities;

[0039] Establishing an experimental module: establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0040] Brine purification module: fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine;

[0041] Return to the impurity removal module: use the preset brine detection instrument to analyze the purified impurities of the purified brine, treat the purified impurities as brine impurities and return to the step of using the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities, until the purified impurities cannot be eliminated.

[0042] In order to solve the above problem, the present invention further provides an electronic device, comprising:

[0043] at least one processor;

[0044] and, a memory communicatively coupled to the at least one processor;

[0045] Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned industrial brine purification method based on acid-base separation.

[0046] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one computer program is stored. The at least one computer program is executed by a processor in an electronic device to implement the above-mentioned industrial brine purification method based on acid-base separation.

[0047] The embodiment of the present invention obtains the brine impurities and impurity content of industrial brine to optimize the training of the reagent classification model, and determines the acid and base reagents for eliminating brine impurities through the reagent classification model, which is conducive to accurately removing impurities from industrial brine and improving the purity of industrial brine; establishes an acid-base elimination experiment to determine the reagent content of the acid-base reagent, which is conducive to further accurate purification; and processes and purifies the industrial brine according to the acid-base reagent and the corresponding reagent content until the remaining brine impurities can no longer be eliminated. Therefore, the industrial brine purification method, device, electronic device and computer-readable storage medium based on acid-base separation proposed by the present invention can solve the problem of low purity when purifying industrial brine. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1A schematic flow chart of an industrial brine purification method based on acid-base separation provided in one embodiment of the present invention;

[0049] Figure 2 A schematic diagram of a flow chart of an optimization model provided in one embodiment of the present invention;

[0050] Figure 3 A schematic diagram of a process for determining an acid-base reagent according to an embodiment of the present invention;

[0051] Figure 4 A functional module diagram of an industrial brine purification device based on acid-base separation provided by one embodiment of the present invention;

[0052] Figure 5 A schematic structural diagram of an electronic device for implementing the industrial brine purification method based on acid-base separation provided in one embodiment of the present invention.

[0053] 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

[0054] 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.

[0055] The embodiment of the present application provides an industrial brine purification method based on acid-base separation. The execution subject of the industrial brine purification method based on acid-base separation includes but is not limited to at least one of the electronic devices such as the server and the terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the industrial brine purification method based on acid-base separation 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. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0056] Reference Figure 1 FIG. 1 is a flow chart of an industrial brine purification method based on acid-base separation according to an embodiment of the present invention. In this embodiment, the industrial brine purification method based on acid-base separation includes:

[0057] S1. Obtaining brine impurities of preset industrial brine and the impurity content of different brine impurities;

[0058] In the embodiments of the present invention, the industrial brine, also known as bittern, bittern, or alkaline brine, is an aqueous solution of salts such as chlorides, sulfates, and soluble carbonates. Because industrial brine contains excessive amounts of harmful substances, it cannot generally be used directly. Purification is required to remove harmful substances from the brine before it can be used in salt production and daily use.

[0059] In the embodiment of the present invention, the brine impurities generally include magnesium chloride, calcium sulfate, calcium chloride, and the like.

[0060] Specifically, impurity testing is an essential step in processing and purifying industrial brine. While the types of impurities in most industrial brines are similar, the impurity content varies from one brine to another. Therefore, a specific brine analysis is necessary, using testing instruments to pre-test the impurities and impurity content in the pre-set brine.

[0061] In an embodiment of the present invention, the brine impurities of the preset industrial brine and the impurity content of different brine impurities can be obtained by performing impurity detection on the preset industrial brine in advance through some water quality detection instruments, such as a COD meter, an infrared oil meter, a multi-parameter water quality analyzer, etc.

[0062] In addition, detecting brine impurities in industrial brine facilitates the subsequent finding of reagents for eliminating impurities. Different impurities require different acid and base reagents for elimination. Detecting the impurity content of brine impurities is also beneficial for determining the reagent content required for different acid and base reagents, which can increase the rate of impurity elimination and avoid the phenomenon of excessive or insufficient addition of acid and base reagents.

[0063] S2. Optimizing and training a preset blank model using data in a preset impurity elimination table to obtain a reagent classification model, and determining the acid-base reagent for eliminating impurities corresponding to the brine impurities using the reagent classification model;

[0064] In the embodiment of the present invention, referring to Figure 2 As shown, the preset blank model is optimized and trained using the data in the preset impurity elimination table to obtain a reagent classification model, including:

[0065] S21, inputting the data in the impurity elimination table into a preset initialization model as a model training sample to obtain an output value of the initialization model;

[0066] S22, calculating the error between the output value of the initialization model and the preset classification label;

[0067] S23, adjusting the parameters of the initialization model according to the error value until the error value is within a preset value range;

[0068] S24. Determine the adjusted initialization model as the reagent classification model.

[0069] Specifically, the impurity elimination table is a table of preset impurities and corresponding elimination reagents. In the impurity elimination table, the acid and base reagents corresponding to the brine impurities can be found. For example, the elimination reagent corresponding to magnesium chloride is sodium hydroxide, and the elimination reagent corresponding to calcium chloride is sodium carbonate, etc. Different acid and base reagents are used to react with impurities in industrial brine to eliminate brine impurities in the industrial brine.

[0070] In detail, the calculating of the error value between the output value of the initialization model and the preset classification label includes:

[0071] The error between the output value of the initialization model and the preset classification label is calculated using the following error calculation formula:

[0072]

[0073] in, Indicates the error value, Indicates the number of model training samples during model optimization training. Indicates the sample parameters corresponding to the model training samples, represents the model training sample, Represents the similarity vector matrix after the model training sample dimension is expanded, Indicates the model training samples.

[0074] Specifically, using the error calculation formula to calculate the error can make the reagent classification model after optimization training more accurate, control the error to ensure the accuracy of the reagent classification model when used, reduce the error rate of model classification, and facilitate the selection of accurate acid and base reagents for brine impurity removal.

[0075] In the embodiment of the present invention, referring to 3, the method of using the reagent classification model to determine the acid-base reagent for eliminating the impurities corresponding to the brine impurities includes:

[0076] S31, extracting key impurities from the brine using a preset neural network model;

[0077] S32, using the reagent classification model to classify the key impurities a preset number of times to obtain a preliminary classification result;

[0078] S33. Perform normalization calculation on the preliminary classification results, and determine the normalization calculation results as the acid-base reagent for eliminating impurities corresponding to the brine impurities.

[0079] In an embodiment of the present invention, the method of extracting key impurities from the brine using a preset neural network model includes:

[0080] converting the brine impurities into a matrix form to obtain an impurity matrix;

[0081] Using the neural network model to perform cross convolution and pooling processing on the impurity matrix to obtain low-dimensional feature information of the impurity matrix;

[0082] Mapping the low-dimensional feature information to a pre-constructed high-dimensional space to obtain high-dimensional feature information;

[0083] The high-dimensional feature information is screened using a preset activation function to obtain key impurities.

[0084] Specifically, a preset mapping function may be used to map low-dimensional feature information to a pre-constructed high-dimensional space. The mapping function includes a Gaussian Radial Basis Function function, a Gaussian function, and the like in the MATLAB library.

[0085] For example, if the low-dimensional feature information is a point in a two-dimensional plane, the two-dimensional coordinates of the point in the two-dimensional plane can be calculated using a mapping function to convert the two-dimensional coordinates into three-dimensional coordinates, and the calculated three-dimensional coordinates can be used to map the point to a pre-constructed three-dimensional space to obtain high-dimensional feature information of the low-dimensional feature information.

[0086] In detail, the use of the neural network model to perform cross convolution and pooling processing on the impurity matrix to obtain low-dimensional feature information of the impurity matrix includes:

[0087] Convolving the impurity matrix with a convolution kernel of a preset size to obtain a convolution matrix;

[0088] The convolution matrix is ​​pooled using a maximum value or minimum value method according to a preset pooling window to obtain low-dimensional feature information of the impurity matrix.

[0089] In an embodiment of the present invention, the convolution matrix is ​​pooled using a maximum or minimum method according to a preset pooling window. Since the numerical characteristics of the convolution matrix cannot be determined, it is also impossible to determine whether the maximum or minimum method needs to be used for pooling. For example, in the convolution matrix, the preset pooling window is a 5*5 matrix window. If the number of larger values ​​in the matrix window of the convolution matrix is ​​much larger than the number of smaller values, the minimum pooling method is selected, and all values ​​in the pooling window are replaced with the minimum value in the pooling window. The next pooling window is then analyzed until all values ​​in the convolution matrix pool are pooled.

[0090] In an embodiment of the present invention, the normalization calculation of the preliminary classification results and the determination of the normalization calculation results as the acid-base reagent for eliminating impurities corresponding to the brine impurities include:

[0091] The preliminary classification results are normalized using the following normalization calculation formula:

[0092]

[0093] in, represents the normalized calculation result, Represents the normalized object in the preliminary classification results, Represents the normalized object mean function, represents the number of normalized objects, Represents one of the word segmentation vectors in the normalized object.

[0094] In detail, since industrial brine contains a lot of impurities, some impurities are toxic and harmful to the human body and therefore need to be eliminated, while some impurities need to be retained in the industrial brine and do not need to be removed, such as sodium chloride. Therefore, it is necessary to analyze the impurities in the brine and find out the key impurities that need to be removed to achieve accurate impurity removal of industrial brine.

[0095] S3. Establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0096] In the embodiment of the present invention, since the acid and base reagents for eliminating impurities have been determined, adding acid and base reagents to industrial brine in a random manner not only fails to eliminate the impurities in the industrial brine, but may also introduce new brine impurities. Therefore, it is necessary to determine the actual content of the acid and base reagents in order to accurately eliminate the brine impurities.

[0097] In an embodiment of the present invention, the acid-base elimination experiment is established according to the impurity content, including:

[0098] According to the impurity content, solutions containing only one type of brine impurity are prepared one by one, and acid and base reagents with preset contents are added dropwise to the solutions one by one;

[0099] After each drop of acid and alkali reagent, the impurity content of brine impurities in the solution is tested until the impurity content is less than the preset impurity content threshold;

[0100] Record the brine impurities when the impurity content is less than the preset impurity content threshold and the corresponding acid and alkali reagent addition content for eliminating the impurities, and return to the step of adding the preset acid and alkali reagent content one by one to the preset brine impurity solution containing only a certain corresponding impurity content until all brine impurities are recorded.

[0101] In detail, since experiments can help people solve many practical problems, any conclusion cannot be drawn without the support of the experiments behind it. Therefore, if you want to determine the specific reagent content of acid and alkali reagents for eliminating brine impurities, it is best to determine it in advance through acid and alkali elimination experiments. Only in this way can the reagent content obtained be accurate and the brine impurities in industrial brine be completely eliminated.

[0102] In the embodiment of the present invention, the reagent content of the acid and alkali reagent required to eliminate the brine impurities is determined according to the experimental results. For example, the calcium chloride content in the industrial brine is 0.30g / L. According to the experimental results, it is concluded that the same content of sodium carbonate reagent is required for impurity removal.

[0103] S4, filling the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and selecting acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and adding them into the industrial brine in sequence to obtain purified brine;

[0104] In an embodiment of the present invention, the brine impurities and the corresponding acid-base reagents and reagent contents are filled into a preset blank table to obtain an acid-base separation table. By establishing the acid-base separation table, the industrial brine can be purified clearly according to the acid-base separation table, and the acid-base separation tables corresponding to different industrial brines are different. The method of the embodiment of the present invention is applicable to industrial brines of the same batch and huge volume. When the brine impurities in a batch of industrial brine change slightly, impurities can also be removed based on the acid-base separation table of the previous batch of industrial brine, saving a lot of time.

[0105] In an embodiment of the present invention, acid-base reagents with corresponding reagent contents are selected one by one according to the acid-base separation table and added to the industrial brine in sequence to obtain purified brine. The acid-base separation table can be input into a control console. Within preset different time periods, the acid-base reagents are added in sequence according to the acid-base separation table until the corresponding reagent content standard is reached, and until all the acid-base reagents are added dropwise to obtain purified brine.

[0106] S5. Analyze the purified impurities of the purified brine using a preset brine detection instrument, treat the purified impurities as brine impurities, and return to the step of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities, until the purified impurities cannot be eliminated.

[0107] Since the removal of brine impurities by acid-base separation may also introduce new brine impurities due to the addition of acid-base reagents, after a round of impurity removal, the industrial brine after impurity removal must be analyzed for impurities again to start a new round of impurity removal operations.

[0108] In an embodiment of the present invention, the brine detection instrument can detect impurities and impurity content in brine, wherein the brine detection instrument can be an ion chromatography, liquid chromatography, LC-MS / MS, etc.

[0109] In an embodiment of the present invention, the purified impurities of the purified brine are analyzed using a preset brine detection instrument, the purified impurities are taken as brine impurities and the step of returning to using the reagent classification model to determine the acid-base reagent for eliminating the impurities corresponding to the brine impurities is performed until the purified impurities cannot be eliminated. The step of returning to using the reagent classification model to determine the acid-base reagent for eliminating the impurities corresponding to the brine impurities is explained in detail in S2 and will not be repeated here.

[0110] In detail, when the purified brine cannot eliminate the purified impurities, that is, the purified impurities in the purified brine are all non-toxic and harmless substances, the purified brine can be used for the next processing and production without repeated purification.

[0111] Furthermore, the purification of industrial brine is an important technical measure to prevent resource waste and an important method for improving economic efficiency. Industrial brine purification methods are also a popular technology in my country, and research and analysis of better brine purification methods are strongly advocated. The industrial brine purification method based on acid-base separation provided in the embodiments of the present invention can not only accelerate the purification rate but also improve the purity of the brine.

[0112] like Figure 4 1 is a functional module diagram of an industrial brine purification device based on acid-base separation provided by one embodiment of the present invention.

[0113] The industrial brine purification device 100 based on acid-base separation described in the present invention can be installed in an electronic device. Depending on the functions to be implemented, the industrial brine purification device 100 based on acid-base separation can include an impurity acquisition module 101, a reagent analysis module 102, an experiment establishment module 103, a brine purification module 104, and a return impurity removal module 105. The modules described in the present invention, also known as units, refer to a series of computer program segments that can be executed by an electronic device processor and can perform fixed functions, which are stored in the memory of the electronic device.

[0114] In this embodiment, the functions of each module / unit are as follows:

[0115] The impurity acquisition module 101 is configured to acquire brine impurities of preset industrial brine and the impurity contents of different brine impurities;

[0116] The reagent analysis module 102: uses the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and uses the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities;

[0117] The experiment establishment module 103 is to establish an acid-base elimination experiment according to the impurity content, and determine the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0118] The brine purification module 104: fills the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and selects acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and sequentially adds them to the industrial brine to obtain purified brine;

[0119] The return impurity removal module 105: uses a preset brine detection instrument to analyze the purified impurities of the purified brine, treats the purified impurities as brine impurities and returns to the step of using the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities, until the purified impurities cannot be eliminated.

[0120] In detail, each module of the industrial brine purification device 100 based on acid-base separation in the embodiment of the present invention is used in the same manner as above. Figures 1 to 3 The same technical means as the industrial brine purification method based on acid-base separation described in the invention can produce the same technical effects, so they will not be repeated here.

[0121] like Figure 5 1 is a schematic diagram of the structure of an electronic device for implementing an industrial brine purification method based on acid-base separation provided by one embodiment of the present invention.

[0122] The electronic device 1 may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as an industrial brine purification program based on acid-base separation.

[0123] In some embodiments, the processor 10 may be composed of an integrated circuit, such as 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, connecting the various components of the entire electronic device using various interfaces and circuits. It executes or executes programs or modules stored in the memory 11 (for example, executing an industrial brine purification program based on acid-base separation) and calls data stored in the memory 11 to perform various functions of the electronic device and process data.

[0124] The memory 11 includes at least one type of readable storage medium, including flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device. Furthermore, the memory 11 may include both an internal storage unit of the electronic device and an external storage device. The memory 11 can be used not only to store application software installed in the electronic device and various types of data, such as the code of an industrial brine purification program based on acid-base separation, but also to temporarily store data that has been output or is about to be output.

[0125] The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. This bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0126] The communication interface 13 is used for communication between the above-mentioned electronic device and other devices, and includes a network interface and a user 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 and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and 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, and an OLED (Organic Light-Emitting Diode) touch device, etc. Among them, 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 and to display a visual user interface.

[0127] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0128] For example, although not shown, the electronic device may further include a power source (e.g., a battery) to power various components. Preferably, the power source may be logically connected to the at least one processor 10 via a power management device, thereby enabling functions such as charge management, discharge management, and power consumption management via the power management device. The power source may further include any of one or more DC or AC power sources, a recharging device, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device may also include various sensors, Bluetooth modules, Wi-Fi modules, and the like, which are not further detailed here.

[0129] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0130] The industrial brine purification program based on acid-base separation stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve the following:

[0131] Obtaining brine impurities of preset industrial brine and the impurity content of different brine impurities;

[0132] Utilizing the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and utilizing the reagent classification model to determine the acid and base reagents for eliminating the impurities corresponding to the brine impurities;

[0133] Establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0134] Fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine;

[0135] The purified impurities in the purified brine are analyzed using a preset brine detection instrument, and the purified impurities are regarded as brine impurities and the step of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities is returned until the purified impurities cannot be eliminated.

[0136] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0137] 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 may be stored in a computer-readable storage medium. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include any entity or device 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).

[0138] 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:

[0139] Obtaining brine impurities of preset industrial brine and the impurity content of different brine impurities;

[0140] Utilizing the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and utilizing the reagent classification model to determine the acid and base reagents for eliminating the impurities corresponding to the brine impurities;

[0141] Establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results;

[0142] Fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine;

[0143] The purified impurities in the purified brine are analyzed using a preset brine detection instrument, and the purified impurities are regarded as brine impurities and the step of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities is returned until the purified impurities cannot be eliminated.

[0144] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is merely a logical function division, and other division methods may be used in actual implementation.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, and all changes that come within the meaning and range of equivalents of the claims are intended to be embraced therein. Any reference to a figure in a claim should not be construed as limiting the claim to which it relates.

[0149] Blockchain, as used in this article, refers to a novel application model for computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanisms, and encryption algorithms. Blockchain is essentially a decentralized database, a series of data blocks generated using cryptographic methods. Each block contains information about a batch of online transactions, used to verify the validity of this information (to prevent counterfeiting) and generate the next block. Blockchain can include the underlying blockchain platform, the platform product service layer, and the application service layer.

[0150] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, techniques, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to achieve optimal results.

[0151] Furthermore, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or devices recited in a system claim may also be implemented by a single unit or device through software or hardware. Terms such as "first" and "second" are used to indicate names and do not imply any particular order.

[0152] 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 purifying industrial brine based on acid-base separation, characterized in that: The method comprises: Obtaining brine impurities of preset industrial brine and the impurity content of different brine impurities; Utilizing the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and utilizing the reagent classification model to determine the acid and base reagents for eliminating the impurities corresponding to the brine impurities; Establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results; Fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, and select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine; Analyze the purified impurities in the purified brine using a preset brine detection instrument, treat the purified impurities as brine impurities, and return to the step of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities, until the purified impurities cannot be eliminated. The method of optimizing and training a preset blank model using data in a preset impurity elimination table to obtain a reagent classification model includes: Inputting the data in the impurity elimination table into a preset initialization model as a model training sample to obtain an output value of the initialization model; Calculating the error between the output value of the initialization model and the preset classification label; Adjusting the parameters of the initialization model according to the error value until the error value is within a preset value range; The adjusted initialization model is determined as the reagent classification model, Calculating the error value between the output value of the initialization model and the preset classification label includes: The error between the output of the initialization model and the preset classification label is calculated using the following error calculation formula: Among them, Miss represents the error value, b represents the number of model training samples during model optimization training, and x i Indicates the sample parameters corresponding to the model training sample, y(x i ) represents the model training sample, Represents the similarity vector matrix after the model training sample dimension is expanded, and i represents the i-th model training sample.

2. The industrial brine purification method based on acid-base separation according to claim 1, characterized in that: The method of using the reagent classification model to determine the acid-base reagent corresponding to the brine impurities to eliminate the impurities includes: Extracting key impurities from the brine using a preset neural network model; Using the reagent classification model to classify the key impurities a preset number of times to obtain a preliminary classification result; The preliminary classification results are normalized and calculated, and the results of the normalized calculation are determined as the acid-base reagent corresponding to the brine impurities for eliminating impurities.

3. The industrial brine purification method based on acid-base separation according to claim 2, characterized in that: The method of extracting key impurities from the brine using a preset neural network model includes: converting the brine impurities into a matrix form to obtain an impurity matrix; Using the neural network model to perform cross convolution and pooling processing on the impurity matrix to obtain low-dimensional feature information of the impurity matrix; Mapping the low-dimensional feature information to a pre-constructed high-dimensional space to obtain high-dimensional feature information; The high-dimensional feature information is screened using a preset activation function to obtain key impurities.

4. The industrial brine purification method based on acid-base separation according to claim 3, characterized in that: The method of performing cross convolution and pooling processing on the impurity matrix using the neural network model to obtain low-dimensional feature information of the impurity matrix includes: Convolving the impurity matrix with a convolution kernel of a preset size to obtain a convolution matrix; The convolution matrix is ​​pooled using a maximum value or minimum value method according to a preset pooling window to obtain low-dimensional feature information of the impurity matrix.

5. The industrial brine purification method based on acid-base separation according to any one of claims 1 to 4, characterized in that: The acid-base elimination experiment is established according to the impurity content, comprising: According to the impurity content, solutions containing only one type of brine impurity are prepared one by one, and acid and base reagents with preset contents are added dropwise to the solutions; After each drop of acid and alkali reagent, the impurity content of brine impurities in the solution is tested until the impurity content is less than the preset impurity content threshold; Record the brine impurities when the impurity content is less than the preset impurity content threshold and the corresponding acid and alkali reagent addition content for eliminating the impurities, and return to the step of adding the preset acid and alkali reagent content one by one to the preset brine impurity solution containing only a certain corresponding impurity content until all brine impurities are recorded.

6. An industrial brine purification device based on acid-base separation, characterized in that: The device comprises: Impurity acquisition module: obtains brine impurities of preset industrial brine and the impurity content of different brine impurities; Reagent analysis module: using the data in the preset impurity elimination table to optimize and train the preset blank model to obtain a reagent classification model, and using the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities; Establishing an experimental module: establishing an acid-base elimination experiment according to the impurity content, and determining the reagent content of the acid-base reagent required to eliminate the brine impurities according to the experimental results; Brine purification module: fill the brine impurities and the corresponding acid and base reagents and reagent contents into a preset blank table to obtain an acid-base separation table, select the acid and base reagents with corresponding reagent contents one by one according to the acid-base separation table and add them into the industrial brine in sequence to obtain purified brine; Return to the impurity removal module: use the preset brine detection instrument to analyze the purified impurities of the purified brine, treat the purified impurities as brine impurities and return to the step of using the reagent classification model to determine the acid and base reagents corresponding to the brine impurities to eliminate the impurities, until the purified impurities cannot be eliminated.

7. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; Wherein, the memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the industrial brine purification method based on acid-base separation as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the industrial brine purification method based on acid-base separation as described in any one of claims 1 to 5 is implemented.

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