A separation and water reuse method and system for zero discharge of sodium chloride production wastewater

Abstract

The present invention relates to the technical field of wastewater treatment, and discloses a separation and water reuse method and system for zero discharge of sodium chloride production wastewater. The method includes first obtaining a first ratio and an initial second ratio, then calculating an initial vapor pressure parameter based on a first impurity parameter, a second impurity parameter, a sodium chloride parameter, and a preset vapor pressure parameter, generating a comparison result based on a real-time image of the supernatant and a standard image of the supernatant, inputting the comparison result, the initial second ratio, and the initial vapor pressure parameter into a dosage correction model to obtain adjustment data, and finally judging whether to continue precipitation or start centrifugation according to the comparison result. In this way, the present invention can effectively remove impurities such as metal ions in the raw salt during the production of sodium chloride, minimize the generation of wastewater, and automatically observe whether the supernatant is turbid, and judge whether to repeat the steps of heating and precipitation according to whether the supernatant is turbid, so as to improve production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, and more specifically, to a separation and water reuse method and system for zero discharge of sodium chloride production wastewater. Background Art

[0002] Sodium chloride is an important chemical, widely used in food processing, chemical production, refrigeration, medicine and other fields. However, during the production process of sodium chloride, a large amount of wastewater is generated, which contains high concentrations of salts and other organic substances, causing certain pollution and pressure on the environment and water resources. Medicinal sodium chloride refers to sodium chloride preparations used in the medical field. Medicinal sodium chloride is usually made from raw salt after reaction and precipitation. The raw salt contains impurities such as mud, sand and metal ions, which are the key factors affecting the quality of medicinal sodium chloride. In the prior art, the wastewater generated after production is treated, but the generation of wastewater is not minimized during the production process;

[0003] For example, the Chinese patent application with the publication number CN117069310A provides a continuous treatment method for TDI waste brine. This patent uses an oxidation adsorption column to perform photocatalytic oxidation degradation and macromolecular adsorption on acidic waste brine. The Chinese patent application with the publication number CN115477434A provides an industrial wastewater treatment method. This patent realizes the co-treatment of industrial wastewater and desulfurization wastewater, and after treating the industrial wastewater, it is supplemented into the desulfurization device, reducing the amount of makeup water used and the sewage discharge amount of the desulfurization device;

[0004] Although the above patents all provide content on treating waste brine, the above patents all treat the wastewater generated after production, and do not minimize the generation of wastewater during the production process. Moreover, during the production process of medicinal sodium chloride, it is necessary to observe whether the supernatant is turbid, and judge whether to repeat the steps of heating and precipitation according to whether the supernatant is turbid. In the prior art, it is usually observed manually, resulting in the inability to improve production efficiency;

[0005] In view of this, the present invention proposes a separation and water reuse method and system for zero discharge of sodium chloride production wastewater to solve the above problems. Summary of the Invention

[0006] In order to overcome the above-mentioned defects of the prior art, the present invention provides a separation and water reuse method and system for zero discharge of sodium chloride production wastewater.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A separation and water reuse method for zero discharge of sodium chloride production wastewater, comprising:

[0009] S10: Obtain the first impurity parameter and the second impurity parameter of the raw salt solution, input the first impurity parameter and the second impurity parameter into a pre-constructed dosage generation model, and obtain the first ratio and the initial second ratio;

[0010] S20: Obtain the sodium chloride parameter of the raw salt solution, and calculate the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and a preset vapor pressure parameter;

[0011] S30: Obtain the real-time image of the supernatant liquid, generate a comparison result based on the real-time image of the supernatant liquid and the standard image of the supernatant liquid, input the comparison result, the initial second ratio, and the initial vapor pressure parameter into a dosage correction model, and obtain adjustment data, where the adjustment data includes a corrected second ratio and a corrected vapor pressure parameter. The supernatant liquid is obtained by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter;

[0012] S40: Add a precipitant to the supernatant liquid according to the corrected second ratio, and pressurize the supernatant liquid according to the corrected vapor pressure parameter. Judge whether to return to S30 according to the comparison result, or centrifuge the supernatant liquid.

[0013] Further, the construction method of the dosage generation model includes:

[0014] Obtain a sample ratio data set, where the sample ratio data set includes historical first impurity parameters, historical second impurity parameters, historical first ratios, and historical second ratios. Divide the sample ratio data set into a sample training set and a sample test set, construct a regression network, use the historical first impurity parameter and the historical second impurity parameter in the sample training set as the input data of the regression network, use the historical first ratio and the historical second ratio in the sample training set as the output data of the regression network, train the regression network to obtain an initial regression network for predicting the real-time first ratio and the initial second ratio, and use the sample test set to test the initial regression network, and output the initial regression network that meets the requirement of being less than a preset error value as the dosage generation model.

[0015] Further, the method for calculating the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter includes:

[0016] Calculate the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter, and determine the initial vapor pressure parameter according to the vapor pressure coefficient and the preset vapor pressure parameter.

[0017] Further, the first impurity parameter includes the sulfate ion concentration, the second impurity parameter includes the calcium ion concentration and the magnesium ion concentration, the sodium chloride parameter is the sodium ion concentration, and the method for calculating the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter includes:

[0018]

[0019] Wherein, VPC is the vapor pressure coefficient, Sic is the sodium ion concentration, Sfc is the sulfate ion concentration, Cin is the calcium ion concentration, Mic is the magnesium ion concentration, log 2 (·) is the logarithmic function with base 2, tan -1 (·) is the arctangent function, and π is a constant.

[0020] Further, the method for determining the initial vapor pressure parameter based on the vapor pressure coefficient and the preset vapor pressure parameter includes:

[0021] When the vapor pressure coefficient is less than or equal to the preset first pressure coefficient, the preset vapor pressure parameter is multiplied by the constant Q to obtain the initial vapor pressure parameter;

[0022] When the vapor pressure coefficient is greater than the preset first pressure coefficient and less than the preset second pressure coefficient, the preset vapor pressure parameter is multiplied by the constant F to obtain the initial vapor pressure parameter;

[0023] When the vapor pressure coefficient is greater than the preset second pressure coefficient, the preset vapor pressure parameter is multiplied by the constant P to obtain the initial vapor pressure parameter, where P > F > Q > 0.

[0024] Further, the method for generating a comparison result based on the real-time image of the supernatant and the standard image of the supernatant includes:

[0025] The real-time pixel feature set of the real-time image of the supernatant and the standard pixel feature set of the standard image of the supernatant are obtained respectively, and the comparison result is calculated according to the real-time pixel feature set and the standard pixel feature set. The real-time pixel feature set includes the real-time average gray value, the real-time gray difference, and the real-time peak number, and the standard pixel feature set includes the standard average gray value, the standard gray difference, and the standard peak number.

[0026] Further, the method for calculating the comparison result according to the real-time pixel feature set and the standard pixel feature set includes:

[0027]

[0028] Wherein, VPC is the comparison result, Gdf re is the real-time gray difference, Gdf sdis the standard gray difference, ln(·) is the natural logarithm function with base e, sinh(·) is the hyperbolic sine function, and Pct re is the real-time peak number, and Pct sd is the standard peak number, and Agv re is the real-time average gray value, and Agv sd is the standard average gray value, e and k are both constants, cosh(·) is the hyperbolic cosine function, and f 1 、f 2 、f 3 are all weighting factors.

[0029] Further, the construction method of the dosage correction model includes:

[0030] Obtain a sample correction data set, which includes historical comparison results, historical initial second ratios, historical initial pressure parameters, historical corrected second ratios, and historical corrected pressure parameters. Divide the sample correction data set into a sample training set and a sample test set, construct a regression network, use the historical comparison results, historical initial second ratios, and historical initial pressure parameters in the sample training set as the input data of the regression network, use the historical corrected second ratios and historical corrected pressure parameters in the sample training set as the output data of the regression network, train the regression network to obtain an initial regression network for predicting real-time corrected ratios and corrected pressure parameters, and use the sample test set to test the initial regression network, and output the initial regression network that meets the requirement of being less than the preset error value as the dosage correction model.

[0031] Further, the method for judging whether to return to S30 according to the comparison result or centrifuging the supernatant includes:

[0032] Judge whether the comparison result is greater than a preset comparison threshold. If not, replace the value corresponding to the initial second ratio with the value corresponding to the corrected second ratio, and replace the value corresponding to the initial vapor pressure parameter with the value corresponding to the corrected vapor pressure parameter, and return to S30. If so, centrifuge the supernatant.

[0033] A separation and water reuse system for zero discharge of sodium chloride production wastewater, which is used to implement the above-mentioned separation and water reuse method for zero discharge of sodium chloride production wastewater, includes:

[0034] Ratio generation module: used to obtain the first impurity parameter and the second impurity parameter of the raw salt solution, input the first impurity parameter and the second impurity parameter into a pre-constructed dosage generation model, and obtain the first ratio and the initial second ratio;

[0035] Parameter acquisition module: used to obtain the sodium chloride parameter of the raw salt solution, and calculate the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter;

[0036] Calibration module: It is used to obtain the real-time image of the supernatant, generate a comparison result based on the real-time image of the supernatant and the standard image of the supernatant, input the comparison result, the initial second ratio, and the initial vapor pressure parameter into the dosage calibration model to obtain adjustment data, where the adjustment data includes the calibrated second ratio and the calibrated vapor pressure parameter. The supernatant is generated by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter.

[0037] Judgment module: Add a precipitant to the supernatant according to the calibrated second ratio, and pressurize the supernatant according to the calibrated vapor pressure parameter. Judge whether to return to the calibration module according to the comparison result, or centrifuge the supernatant.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] The present invention first obtains the first ratio and the initial second ratio, then calculates the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter, obtains the real-time image of the supernatant, generates a comparison result based on the real-time image of the supernatant and the standard image of the supernatant, inputs the comparison result, the initial second ratio, and the initial vapor pressure parameter into the dosage calibration model to obtain adjustment data, where the adjustment data includes the calibrated second ratio and the calibrated vapor pressure parameter. Finally, judge whether to continue precipitation or start centrifugation according to the comparison result. In this way, the present invention can effectively remove impurities such as metal ions in the raw salt during the production process of sodium chloride, minimize the generation of wastewater, and automatically observe whether the supernatant is turbid, and judge whether to repeat the steps of heating and precipitation according to whether the supernatant is turbid, so as to improve production efficiency. Description of the Drawings

[0040] Figure 1 It is a flowchart of a method for separating and recycling water with zero discharge of sodium chloride production wastewater in the present invention;

[0041] Figure 2 It is a schematic structural diagram of a system for separating and recycling water with zero discharge of sodium chloride production wastewater in the present invention;

[0042] Figure 3 It is a schematic diagram of a computer-readable storage medium of the present invention. Detailed Embodiments

[0043] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0044] Embodiment 1

[0045] Please refer to Figure 1 As shown, this embodiment discloses a separation and water reuse method for zero discharge of sodium chloride production wastewater, including:

[0046] S10: Obtain the first impurity parameter and the second impurity parameter of the raw salt solution, input the first impurity parameter and the second impurity parameter into a pre-constructed dosage generation model, and obtain the first ratio and the initial second ratio;

[0047] In this embodiment, the raw salt solution refers to the solution generated after the raw salt is pre-put into a salt dissolving tank for dissolution. The first impurity parameter at least includes the sulfate ion concentration, and the second impurity parameter at least includes the calcium ion concentration and the magnesium ion concentration. The first impurity parameter and the second impurity parameter can be obtained through an ion-selective electrode. An ion-selective electrode is a sensor specifically for measuring the concentration of a specific ion, and the ion-selective electrode works by detecting the change in the ion concentration in water;

[0048] The construction method of the dosage generation model includes:

[0049] Obtain a sample ratio data set, where the sample ratio data set includes historical first impurity parameters, historical second impurity parameters, historical first ratios, and historical second ratios. Divide the sample ratio data set into a sample training set and a sample test set, construct a regression network, use the historical first impurity parameters and historical second impurity parameters in the sample training set as the input data of the regression network, use the historical first ratios and historical second ratios in the sample training set as the output data of the regression network, train the regression network, obtain an initial regression network for predicting the real-time first ratio and the initial second ratio, use the sample test set to test the initial regression network, and output the initial regression network that meets the requirement of being less than the preset error value as the dosage generation model. The initial regression network is preferably a deep neural network model;

[0050] It can be understood that the first ratio can be the mass fraction of barium chloride. Barium chloride can be added to the raw salt solution to react with sulfate ions to form barium sulfate precipitate, thereby removing sulfate ions from the raw salt solution. The initial second ratio can be the mass fraction of sodium carbonate. Sodium carbonate can be added to the raw salt solution to react with calcium ion concentration and magnesium ion concentration to form calcium carbonate precipitate and magnesium carbonate precipitate. It can be understood that the historical first ratio and historical second ratio above are both determined by expert experience or by those skilled in the art through experiments.

[0051] It should be added that the first ratio and the initial second ratio are not generated simultaneously. Instead, the first ratio is generated by the dosage generation model first, and then the initial second ratio is generated. Exemplarily, the first ratio is the mass fraction of barium chloride, and the initial second ratio is the mass fraction of sodium carbonate. Although adding barium chloride to the raw salt solution can remove sulfate ions, it will generate barium ions, and the barium ions also need to be removed by subsequent sodium carbonate. Therefore, in this embodiment, the dosage generation model first generates the first ratio and then generates the initial second ratio.

[0052] S20: Obtain the sodium chloride parameter of the raw salt solution, and calculate the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter;

[0053] In this embodiment, the sodium chloride parameter can be obtained through an ion-selective electrode. The sodium chloride parameter can be the sodium ion concentration. It can be understood that the sodium chloride parameter is obtained immediately after the raw salt is pre-put into the salt dissolving tank for dissolution, rather than during the subsequent reaction process, because the sodium chloride parameter represents the quantity of sodium chloride before production;

[0054] In this embodiment, the initial vapor pressure parameter represents the pressure parameter given by the reaction kettle to the raw salt solution. The raw salt is pre-put into the salt dissolving tank for dissolution to generate the raw salt solution. The raw salt solution is pumped out of the salt dissolving tank and put into the reaction kettle. After adding barium chloride and sodium carbonate respectively according to the first ratio and the initial second ratio, similarly, the reaction kettle needs to pressurize the raw salt solution to promote the crystallization of sodium chloride.

[0055] The method for calculating the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter includes:

[0056] Calculate the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter, and determine the initial vapor pressure parameter according to the vapor pressure coefficient and the preset vapor pressure parameter;

[0057] The method for calculating the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter includes:

[0058]

[0059] Where VPC is the vapor pressure coefficient, Sic is the sodium ion concentration, Sfc is the sulfate ion concentration, Cin is the calcium ion concentration, Mic is the magnesium ion concentration, log 2 (·) is the logarithmic function with base 2, tan -1 (·) is the inverse tangent function, π is a constant;

[0060] It is not difficult to understand that the above method for calculating the vapor pressure coefficient is only an exemplary description, which is based on the above first impurity parameter including at least sulfate ion concentration, the second impurity parameter including at least calcium ion concentration and magnesium ion concentration, and the sodium chloride parameter can be related to the sodium ion concentration. Since the higher the solute concentration in the mixed solution, the lower the required vapor pressure, it can be obtained from the above formula that the vapor pressure coefficient is negatively correlated with the concentration of each solute in the mixed solution. Therefore, in this embodiment, the vapor pressure coefficient is positively correlated with the subsequent initial vapor pressure parameter;

[0061] The method for determining the initial steam pressure parameter according to the steam pressure coefficient and the preset steam pressure parameter includes:

[0062] When the vapor pressure coefficient is less than or equal to the preset first pressure coefficient, the preset vapor pressure parameter is multiplied by the constant Q to obtain an initial vapor pressure parameter;

[0063] When the steam pressure coefficient is greater than the preset first pressure coefficient and less than the preset second pressure coefficient, the preset steam pressure parameter is multiplied by the constant F to obtain the initial steam pressure parameter;

[0064] When the steam pressure coefficient is greater than the preset second pressure coefficient, the preset steam pressure parameter is multiplied by the constant P to obtain the initial steam pressure parameter, P>F>Q>0;

[0065] In this embodiment, the preset vapor pressure parameter refers to a preset standard pressure parameter, and the preset vapor pressure parameter is adjusted according to the solute concentration in the solution to generate the initial vapor pressure parameter.

[0066] S30: acquiring a real-time image of the supernatant, generating a comparison result based on the real-time image of the supernatant and a standard image of the supernatant, inputting the comparison result, the initial second ratio and the initial vapor pressure parameter into the dosage correction model, and obtaining adjustment data, wherein the adjustment data includes a corrected second ratio and a corrected vapor pressure parameter, wherein the supernatant is generated by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter;

[0067] It should be noted that in this embodiment, the precipitant can be barium chloride or sodium carbonate. Exemplarily, when adding the precipitant to the raw salt solution according to the first ratio, the first ratio represents the mass fraction of barium chloride, and at this time the precipitant is barium chloride; when adding the precipitant to the raw salt solution according to the initial second ratio, the initial second ratio represents the mass fraction of sodium carbonate, and at this time the precipitant is sodium carbonate.

[0068] It should be added that the real-time image of the supernatant can be the image of the top region of the supernatant, and the real-time image of the supernatant can be directly obtained by a camera. "Pressurizing according to the generated initial vapor pressure parameter" means pressurizing the raw salt solution through the reaction kettle and the initial vapor pressure parameter, so that precipitation can occur quickly after the precipitant is added to the raw salt solution.

[0069] The method for generating a comparison result based on the real-time image of the supernatant and the standard image of the supernatant includes:

[0070] Respectively obtain the real-time pixel feature set of the real-time image of the supernatant and the standard pixel feature set of the standard image of the supernatant, and calculate the comparison result according to the real-time pixel feature set and the standard pixel feature set. The real-time pixel feature set includes the real-time average gray value, the real-time gray difference, and the real-time peak number, and the standard pixel feature set includes the standard average gray value, the standard gray difference, and the standard peak number.

[0071] It should be noted that the above real-time average gray value can be obtained by converting the real-time image of the supernatant into a gray-scale image. The real-time gray difference refers to the standard deviation of the gray value. An image with a higher real-time gray difference usually has a higher contrast. The calculation method of the standard deviation of the gray value is a prior art, and this embodiment will not elaborate on it too much. The real-time peak number refers to the number of peaks appearing in the gray-scale histogram, and the gray-scale histogram is obtained by converting the above real-time image of the supernatant. The larger the peak number, the greater the brightness difference value of the real-time image of the supernatant. Similarly, the standard average gray value, the standard gray difference, and the standard peak number in the standard pixel feature set can be obtained, and the standard average gray value, the standard gray difference, and the standard peak number are pre-stored in the database for subsequent retrieval.

[0072] It should be added that in this embodiment, generating a comparison result is to judge whether the real-time image of the supernatant meets the standard. Meeting the standard means whether the real-time image of the supernatant is clear enough, that is, whether the supernatant is clear. Since the supernatant is obtained by adding the precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter, then judging whether the reaction is completed is determined according to the clarity of the supernatant. If the clarity of the supernatant does not meet the requirements, precipitation needs to be repeated.

[0073] It is easy to understand that in this embodiment, the smaller the real-time average gray value is, the higher the clarity of the real-time image of the supernatant is, and the larger the real-time gray difference is, indicating that the image usually has a higher contrast. Therefore, the higher the clarity of the real-time image of the supernatant is, and the smaller the difference between the real-time peak number and the standard peak number is, indicating that the brightness difference between the real-time image of the supernatant and the standard image of the supernatant is smaller. Therefore, the higher the clarity of the real-time image of the supernatant is.

[0074] The method for calculating the comparison result according to the real-time pixel feature set and the standard pixel feature set includes:

[0075]

[0076] In the formula, VPC is the comparison result, Gdf re is the real-time gray difference, Gdf sd is the standard gray difference, ln(·) is the logarithmic function with base e, sinh(·) is the hyperbolic sine function, Pct re is the real-time peak number, Pct sd is the standard peak number, Agv re is the real-time average gray value, Agv sd is the standard average gray value, e and k are both constants, cosh(·) is the hyperbolic cosine function, f 1 、f 2 、f 3 are all weight factors;

[0077] It can be understood that taking the real-time peak number as an example through the above formula, the absolute value of the difference between the real-time peak number and the standard peak number is negatively correlated with VPC. Therefore, in this embodiment, the larger VPC is, the better the clarity of the supernatant is.

[0078] The construction method of the dosage correction model includes:

[0079] Obtain a sample correction data set, which includes historical comparison results, historical initial second ratios, historical initial pressure parameters, historical corrected second ratios, and historical corrected pressure parameters. Divide the sample correction data set into a sample training set and a sample test set, construct a regression network, use the historical comparison results, historical initial second ratios, and historical initial pressure parameters in the sample training set as the input data of the regression network, use the historical corrected second ratios and historical corrected pressure parameters in the sample training set as the output data of the regression network, train the regression network to obtain an initial regression network for predicting real-time corrected ratios and corrected pressure parameters, use the sample test set to test the initial regression network, and output the initial regression network that meets the requirement of being less than the preset error value as the dosage correction model. The initial regression network is preferably a recurrent neural network model;

[0080] It should be noted that in this embodiment, only the corrected second ratio is obtained, and a precipitant is added to the supernatant according to the corrected second ratio. Similarly, the precipitant here can be sodium carbonate, and the supernatant is obtained after the raw salt solution undergoes reaction and precipitation. Therefore, the solute concentration of the supernatant is lower than that of the raw salt solution. Then, the higher the required vapor pressure, the more necessary it is to correct the initial vapor pressure parameter to obtain the corrected vapor pressure parameter.

[0081] S40: Add a precipitant to the supernatant according to the corrected second ratio, and pressurize the supernatant according to the corrected vapor pressure parameter. Judge according to the comparison result and return to S30, or centrifuge the supernatant;

[0082] The method of judging according to the comparison result and returning to S30, or centrifuging the supernatant includes:

[0083] Judge whether the comparison result is greater than the preset comparison threshold. If not, replace the value corresponding to the initial second ratio with the value corresponding to the corrected second ratio, and replace the value corresponding to the initial vapor pressure parameter with the value corresponding to the corrected vapor pressure parameter, and return to S30. If so, centrifuge the supernatant;

[0084] It should be noted that since the comparison result is positively correlated with the clarity of the supernatant, when it is judged that the comparison result is less than or equal to the preset comparison threshold, it indicates that the clarity of the supernatant does not meet the standard and precipitation needs to be carried out cyclically. Therefore, it is necessary to return to step S30. However, at this time, the supernatant has undergone secondary precipitation. Secondary precipitation means adding a precipitant to the supernatant according to the corrected second ratio and pressurizing the supernatant according to the corrected vapor pressure parameter. At this time, the value corresponding to the initial second ratio needs to be replaced with the value corresponding to the corrected second ratio, and then return to step S30. After being corrected by the dosage correction model, an accurate second ratio can be obtained. The same applies to the vapor pressure parameter. Steps S30 and S40 are cycled until the comparison result is greater than the preset comparison threshold, then the cycle ends and centrifugation is carried out to obtain sodium chloride crystals.

[0085] In this embodiment, first, the first ratio and the initial second ratio are obtained. Then, the initial vapor pressure parameter is calculated based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter. The real-time image of the supernatant is obtained, and the comparison result is generated based on the real-time image of the supernatant and the standard image of the supernatant. The comparison result, the initial second ratio, and the initial vapor pressure parameter are input into the dosage correction model to obtain the adjustment data. The adjustment data includes the corrected second ratio and the corrected vapor pressure parameter. Finally, it is determined whether to continue precipitation or start centrifugation according to the comparison result. In this way, this embodiment can effectively remove impurities such as metal ions in the raw salt during the sodium chloride production process, minimize the generation of wastewater, and automatically observe whether the supernatant is turbid, and judge whether to repeat the steps of heating and precipitation according to whether the supernatant is turbid, so as to improve production efficiency.

[0086] Example 2

[0087] As Figure 2 shown, on the basis of Example 1, this embodiment provides a separation and water reuse system for zero discharge of sodium chloride production wastewater, including:

[0088] Ratio generation module: used to obtain the first impurity parameter and the second impurity parameter of the raw salt solution, and input the first impurity parameter and the second impurity parameter into the pre-constructed dosage generation model to obtain the first ratio and the initial second ratio;

[0089] In this embodiment, the raw salt solution refers to the solution generated after the raw salt is pre-put into the salt dissolving tank for dissolution. The first impurity parameter at least includes the sulfate ion concentration, and the second impurity parameter at least includes the calcium ion concentration and the magnesium ion concentration. The first impurity parameter and the second impurity parameter can be obtained through an ion-selective electrode. An ion-selective electrode is a sensor specifically for measuring the concentration of specific ions, and it works by detecting the change in the ion concentration in water.

[0090] Parameter acquisition module: used to obtain the sodium chloride parameter of the raw salt solution, and calculate the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter, and the preset vapor pressure parameter;

[0091] In this embodiment, the sodium chloride parameter can be obtained through an ion-selective electrode. The sodium chloride parameter can be the sodium ion concentration. It can be understood that the sodium chloride parameter is obtained immediately after the raw salt is pre-put into the salt dissolving tank for dissolution, rather than during the subsequent reaction process, because the sodium chloride parameter represents the quantity of sodium chloride before production;

[0092] In this embodiment, the initial vapor pressure parameter characterizes the pressure parameter given by the reactor to the raw salt solution. The raw salt is preliminarily placed in a salt-forming tank for dissolution to generate a raw salt solution. The raw salt solution is extracted from the salt-forming tank and placed in the reactor. After barium chloride and sodium carbonate are added according to the first ratio and the initial second ratio, respectively, the reactor also needs to pressurize the raw salt solution to promote the crystallization of sodium chloride.

[0093] The method for calculating the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter and the preset vapor pressure parameter includes:

[0094] Calculating a vapor pressure coefficient based on a first impurity parameter, a second impurity parameter, and a sodium chloride parameter, and determining an initial vapor pressure parameter according to the vapor pressure coefficient and a preset vapor pressure parameter;

[0095] The method for calculating the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter includes:

[0096]

[0097] Where VPC is the vapor pressure coefficient, Sic is the sodium ion concentration, Sfc is the sulfate ion concentration, Cin is the calcium ion concentration, Mic is the magnesium ion concentration, log 2 (·) is the logarithmic function with base 2, tan -1 (·) is the inverse tangent function, π is a constant;

[0098] It is not difficult to understand that the above method for calculating the vapor pressure coefficient is only an exemplary description, which is based on the above first impurity parameter including at least sulfate ion concentration, the second impurity parameter including at least calcium ion concentration and magnesium ion concentration, and the sodium chloride parameter can be related to the sodium ion concentration. Since the higher the solute concentration in the mixed solution, the lower the required vapor pressure, it can be obtained from the above formula that the vapor pressure coefficient is negatively correlated with the concentration of each solute in the mixed solution. Therefore, in this embodiment, the vapor pressure coefficient is positively correlated with the subsequent initial vapor pressure parameter;

[0099] The method for determining the initial steam pressure parameter according to the steam pressure coefficient and the preset steam pressure parameter includes:

[0100] When the vapor pressure coefficient is less than or equal to the preset first pressure coefficient, the preset vapor pressure parameter is multiplied by the constant Q to obtain an initial vapor pressure parameter;

[0101] When the steam pressure coefficient is greater than the preset first pressure coefficient and less than the preset second pressure coefficient, the preset steam pressure parameter is multiplied by the constant F to obtain the initial steam pressure parameter;

[0102] When the vapor pressure coefficient is greater than a preset second pressure coefficient, the preset vapor pressure parameter is multiplied by a constant P to obtain an initial vapor pressure parameter, where P > F > Q > 0;

[0103] In this embodiment, the preset vapor pressure parameter refers to a preset standard pressure parameter, which is adjusted according to the solute concentration in the solution to generate an initial vapor pressure parameter.

[0104] Calibration module: used to obtain a real-time image of the supernatant, generate a comparison result based on the real-time image of the supernatant and the standard image of the supernatant, input the comparison result, the initial second ratio, and the initial vapor pressure parameter into a dosage calibration model to obtain adjustment data, where the adjustment data includes a calibrated second ratio and a calibrated vapor pressure parameter. The supernatant is obtained by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and by pressurizing according to the generated initial vapor pressure parameter;

[0105] It should be noted that in this embodiment, the precipitant can be barium chloride or sodium carbonate. Exemplarily, when adding a precipitant to the raw salt solution according to the first ratio, the first ratio represents the mass fraction of barium chloride, and at this time the precipitant is barium chloride. When adding a precipitant to the raw salt solution according to the initial second ratio, the initial second ratio represents the mass fraction of sodium carbonate, and at this time the precipitant is sodium carbonate;

[0106] It should be added that the real-time image of the supernatant can be an image of the top area of the supernatant, and the real-time image of the supernatant can be directly obtained by a camera. Pressurizing according to the generated initial vapor pressure parameter means that the raw salt solution is pressurized by a reaction kettle and the initial vapor pressure parameter, so that precipitation can occur quickly after the precipitant is added to the raw salt solution.

[0107] The method for generating a comparison result based on the real-time image of the supernatant and the standard image of the supernatant includes:

[0108] Respectively obtain the real-time pixel feature set of the real-time image of the supernatant and the standard pixel feature set of the standard image of the supernatant, and calculate the comparison result according to the real-time pixel feature set and the standard pixel feature set. The real-time pixel feature set includes the real-time average gray value, the real-time gray difference, and the real-time peak number, and the standard pixel feature set includes the standard average gray value, the standard gray difference, and the standard peak number;

[0109] It should be noted that the above real-time average gray value can be obtained by converting the real-time image of the supernatant into a gray-scale image and then calculating. The real-time gray difference refers to the standard deviation of the gray value. An image with a higher real-time gray difference usually has a higher contrast. The calculation method of the standard deviation of the gray value is a prior art, and this embodiment will not elaborate on it too much. The real-time peak number refers to the number of peaks in the gray histogram, which is obtained by converting the above real-time image of the supernatant. The larger the peak number, the greater the brightness difference value of the real-time image of the supernatant. Similarly, the standard average gray value, standard gray difference, and standard peak number in the standard pixel feature set can be obtained, and the standard average gray value, standard gray difference, and standard peak number are pre-stored in the database for subsequent retrieval;

[0110] It should be added that in this embodiment, the comparison result is generated to determine whether the real-time image of the supernatant meets the standard. Meeting the standard means whether the real-time image of the supernatant is clear enough, that is, whether the supernatant is clear. Since the supernatant is obtained by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter, then determining whether the reaction is completed is based on the clarity of the supernatant. If the clarity of the supernatant does not meet the requirements, precipitation needs to be repeated;

[0111] It is easy to understand that in this embodiment, the smaller the real-time average gray value, the higher the clarity of the real-time image of the supernatant. The larger the real-time gray difference, the higher the contrast of the image usually is. Therefore, the higher the clarity of the real-time image of the supernatant, and the smaller the difference between the real-time peak number and the standard peak number, the smaller the brightness difference between the real-time image of the supernatant and the standard image of the supernatant. Therefore, the higher the clarity of the real-time image of the supernatant.

[0112] The method for calculating the comparison result according to the real-time pixel feature set and the standard pixel feature set includes:

[0113]

[0114] In the formula, VPC is the comparison result, Gdf re is the real-time gray difference, Gdf sd is the standard gray difference, ln(·) is the logarithmic function with base e, sinh(·) is the hyperbolic sine function, Pct re is the real-time peak number, Pct sd is the standard peak number, Agv re is the real-time average gray value, Agv sd is the standard average gray value, e and k are both constants, cosh(·) is the hyperbolic cosine function, f 1 、f 2 、f 3 are all weighting factors;

[0115] It can be understood that, taking the real-time peak number as an example through the above formula, the absolute value of the difference between the real-time peak number and the standard peak number is negatively correlated with the VPC. Therefore, in this embodiment, the larger the VPC, the better the clarity of the supernatant.

[0116] Judgment module: adding a precipitant to the supernatant according to the corrected second ratio, and pressurizing the supernatant according to the corrected vapor pressure parameter, judging whether to return to the correction module according to the comparison result, or centrifuging the supernatant;

[0117] The method of judging whether to return to the correction module according to the comparison result, or centrifuging the supernatant includes:

[0118] Judging whether the comparison result is greater than a preset comparison threshold. If not, replacing the value corresponding to the initial second ratio with the value corresponding to the corrected second ratio, and replacing the value corresponding to the initial vapor pressure parameter with the value corresponding to the corrected vapor pressure parameter, and returning to the correction module. If so, centrifuging the supernatant;

[0119] It should be noted that since the comparison result is positively correlated with the clarity of the supernatant, when it is judged that the comparison result is less than or equal to the preset comparison threshold, it indicates that the clarity of the supernatant does not meet the standard and precipitation needs to be carried out cyclically. Therefore, it is necessary to return to the correction module. However, at this time, the supernatant has been subjected to secondary precipitation. The secondary precipitation refers to adding a precipitant to the supernatant according to the corrected second ratio, and pressurizing the supernatant according to the corrected vapor pressure parameter. At this time, the value corresponding to the initial second ratio needs to be replaced with the value corresponding to the corrected second ratio, and then return to step S30. After being corrected by the dosage correction model, an accurate second ratio can be obtained. The same applies to the vapor pressure parameter. The correction module and the judgment module are cycled until the comparison result is greater than the preset comparison threshold, then the cycle ends and centrifugation is carried out to obtain sodium chloride crystals.

[0120] Example 3

[0121] This embodiment discloses and provides an electronic device, including a power supply, an interface, a keyboard, a memory, a central processing unit, and a computer program stored on the memory and executable on the central processing unit. When the central processing unit executes the computer program, it implements a separation and water reuse method for zero discharge of sodium chloride production wastewater provided by the above-mentioned various methods. The interface includes a network interface and a data interface. The network interface includes a wired or wireless interface, and the data interface includes an input or output interface.

[0122] Since the electronic device introduced in this embodiment is the electronic device used in the method for separating and recycling water with zero discharge of sodium chloride production wastewater in the embodiments of the present application, based on the method for separating and recycling water with zero discharge of sodium chloride production wastewater introduced in the embodiments of the present application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the specific implementation of how this electronic device implements the method in the embodiments of the present application will not be described in detail here. As long as those skilled in the art implement the electronic device used in the method for separating and recycling water with zero discharge of sodium chloride production wastewater in the embodiments of the present application, it falls within the scope of protection of the present application.

[0123] Embodiment 4

[0124] As Figure 3 shown, this embodiment discloses and provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, it implements the above-mentioned method for separating and recycling water with zero discharge of sodium chloride production wastewater.

[0125] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula that is closest to the actual situation. The selection of preset parameters, weights, and thresholds in the formulas is set by those skilled in the art according to the actual situation.

[0126] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or a data center that includes one or more collections of available media. The available media can be magnetic media (such as floppy disks, hard disks, magnetic tapes), optical media (such as DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0127] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0128] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0129] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only one way, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in an electrical, mechanical, or other form.

[0130] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0131] In addition, the functional units in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0132] As mentioned above, the above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, and all should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

[0133] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for separation and water reuse of sodium chloride production wastewater with zero discharge, characterized in that: include: S10: Obtaining a first impurity parameter and a second impurity parameter of the raw salt solution, inputting the first impurity parameter and the second impurity parameter into a pre-built dosage generation model, and obtaining a first ratio and an initial second ratio; The method for constructing the usage generation model includes: Obtain a sample ratio data set, divide the sample ratio data set into a sample training set and a sample test set, construct a regression network, use the historical first impurity parameter and the historical second impurity parameter in the sample training set as input data of the regression network, use the historical first ratio and the historical second ratio in the sample training set as output data of the regression network, train the regression network, obtain an initial regression network for predicting the real-time first ratio and the initial second ratio, test the initial regression network using the sample test set, and output the initial regression network that satisfies a preset error value as a usage generation model; S20: Obtaining the sodium chloride parameter of the raw salt solution, calculating the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter and the preset vapor pressure parameter; calculating the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter and the sodium chloride parameter, and determining the initial vapor pressure parameter according to the vapor pressure coefficient and the preset vapor pressure parameter; S30: acquiring a real-time image of the supernatant, generating a comparison result based on the real-time image of the supernatant and a standard image of the supernatant, inputting the comparison result, the initial second ratio and the initial vapor pressure parameter into the dosage correction model, and obtaining adjustment data, wherein the adjustment data includes a corrected second ratio and a corrected vapor pressure parameter, wherein the supernatant is generated by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter; The method for constructing the dosage correction model comprises: Obtain a sample correction data set, divide the sample correction data set into a sample training set and a sample test set, construct a regression network, use the historical comparison results, the historical initial second ratio and the historical initial pressure parameters in the sample training set as input data of the regression network, use the historical corrected second ratio and the historical corrected pressure parameters in the sample training set as output data of the regression network, train the regression network, obtain an initial regression network for predicting the real-time corrected ratio and corrected pressure parameters, test the initial regression network using the sample test set, and output the initial regression network that satisfies a preset error value as a dosage correction model; S40: adding a precipitant to the supernatant according to the corrected second ratio, and pressurizing the supernatant according to the corrected vapor pressure parameter, and returning to S30 according to the comparison result, or centrifuging the supernatant.

2. A method for separating and recycling sodium chloride production wastewater with zero discharge according to claim 1, characterized in that: The first impurity parameter includes sulfate ion concentration, the second impurity parameter includes calcium ion concentration and magnesium ion concentration, and the sodium chloride parameter is sodium ion concentration. The method for calculating the vapor pressure coefficient based on the first impurity parameter, the second impurity parameter, and the sodium chloride parameter includes: Where VPC is the vapor pressure coefficient, Sic is the sodium ion concentration, Sfc is the sulfate ion concentration, Cin is the calcium ion concentration, Mic is the magnesium ion concentration, log2(·) is the logarithmic function with base 2, and tan -1 (·) is the inverse tangent function, and π is a constant.

3. A method for separating and recycling sodium chloride production wastewater with zero discharge according to claim 2, characterized in that: The method for determining the initial steam pressure parameter according to the steam pressure coefficient and the preset steam pressure parameter comprises: When the vapor pressure coefficient is less than or equal to the preset first pressure coefficient, the preset vapor pressure parameter is multiplied by the constant Q to obtain an initial vapor pressure parameter; When the steam pressure coefficient is greater than the preset first pressure coefficient and less than the preset second pressure coefficient, the preset steam pressure parameter is multiplied by the constant F to obtain the initial steam pressure parameter; When the vapor pressure coefficient is greater than the preset second pressure coefficient, the preset vapor pressure parameter is multiplied by a constant P to obtain an initial vapor pressure parameter, P>F>Q>0.

4. A method for separating and recycling sodium chloride production wastewater with zero discharge according to claim 1, characterized in that: The method for generating a comparison result based on the real-time image of the supernatant and the standard image of the supernatant comprises: The real-time pixel feature set of the supernatant real-time image and the standard pixel feature set of the supernatant standard image are respectively obtained, and the comparison result is calculated based on the real-time pixel feature set and the standard pixel feature set. The real-time pixel feature set includes the real-time average grayscale value, the real-time grayscale difference and the real-time peak number, and the standard pixel feature set includes the standard average grayscale value, the standard grayscale difference and the standard peak number.

5. A method for separating and recycling sodium chloride production wastewater with zero discharge according to claim 4, characterized in that: The method for calculating the comparison result based on the real-time pixel feature set and the standard pixel feature set includes: In the formula, VPC is the comparison result, Gdf re is the real-time grayscale difference, Gdf sd is the standard grayscale difference, ln(· is the logarithmic function with e as the base, sinh(·) is the hyperbolic sine function, Pct re is the real-time peak value, Pct sd is the standard peak number, Agv re is the real-time average gray value, Agv sd is the standard average gray value, e and k are constants, cosh(·) is the hyperbolic cosine function, and f1, f2, and f3 are weight factors.

6. A method for separation and water reuse of zero-discharge of sodium chloride production wastewater according to claim 1, characterized in that: The method of returning to S30 according to the comparison result or centrifuging the supernatant comprises: Determine whether the comparison result is greater than a preset comparison threshold. If not, replace the value corresponding to the initial second ratio with the value corresponding to the corrected second ratio, and replace the value corresponding to the initial vapor pressure parameter with the value corresponding to the corrected vapor pressure parameter, and return to S30. If yes, centrifuge the supernatant.

7. A sodium chloride production wastewater zero-discharge separation and water reuse system, which is used to implement a sodium chloride production wastewater zero-discharge separation and water reuse method according to any one of claims 1-6, characterized in that: include: Ratio generation module: used to obtain the first impurity parameter and the second impurity parameter of the raw salt solution, input the first impurity parameter and the second impurity parameter into the pre-built dosage generation model, and obtain the first ratio and the initial second ratio; Parameter acquisition module: used to obtain the sodium chloride parameter of the raw salt solution, and calculate the initial vapor pressure parameter based on the first impurity parameter, the second impurity parameter, the sodium chloride parameter and the preset vapor pressure parameter; Correction module: used for obtaining a real-time image of the supernatant, generating a comparison result based on the real-time image of the supernatant and the standard image of the supernatant, inputting the comparison result, the initial second ratio and the initial vapor pressure parameter into the dosage correction model, and obtaining adjustment data, wherein the adjustment data includes a corrected second ratio and a corrected vapor pressure parameter, wherein the supernatant is generated by adding a precipitant to the raw salt solution according to the first ratio and the initial second ratio, and pressurizing according to the generated initial vapor pressure parameter; Judgment module: adding a precipitant to the supernatant according to the corrected second ratio, and pressurizing the supernatant according to the corrected vapor pressure parameter, returning to the correction module according to the comparison result, or centrifuging the supernatant.

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