Optimization method and system for salt precipitation of white carbon black wastewater containing sodium carbonate salt

Abstract

The invention relates to the technical field of wastewater treatment, and relates to a method and system for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate salt. The method comprises extracting raw water of white carbon black wastewater to be treated to obtain the sodium carbonate concentration of the raw water; obtaining a first salt precipitation treatment parameter according to the sodium carbonate concentration of the raw water; starting an evaporation device and executing the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain a salt precipitation operation index; comparing the salt precipitation operation index with a target operation index to obtain an operation difference result; formulating a plurality of control strategies according to the operation difference result, optimizing the plurality of control strategies based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy; finding the optimal solution of the salt precipitation optimization strategy to determine a second salt precipitation treatment parameter, and executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the white carbon black wastewater; the invention improves various indicators of wastewater treatment by dynamically optimizing and controlling various control parameters of the salt precipitation treatment, and the salt precipitation process is stable and is not easy to clog pipelines.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, and in particular to a method and system for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt. Background Art

[0002] With the acceleration of industrialization, the treatment of various industrial wastewaters has become a critical environmental protection issue. Silica (also known as hydrated silica), a key industrial material, is widely used in rubber, coatings, plastics, and other fields. In the production process of silica, especially the wet precipitation synthesis process, sodium carbonate is used as a precipitant. A silicon-containing solution reacts with sodium carbonate to form a silica precipitate. The resulting wastewater contains unreacted sodium carbonate and sodium bicarbonate. This wastewater not only imposes a burden on the environment, but untreated wastewater also leads to resource waste and economic losses.

[0003] Treating silica wastewater solely by physical or chemical methods cannot efficiently precipitate sodium salts. At the same time, since the wastewater contains a certain concentration of silica, silica may cause pipe blockage during the salt precipitation process, affecting treatment efficiency. Improper treatment or failure to adjust key parameters in a timely manner will lead to instability in the salt precipitation process and even damage to production equipment. Summary of the Invention

[0004] To this end, the technical problem to be solved by the present invention is to overcome the problem that the salt precipitation process in the prior art is unstable and easily causes pipeline blockage, and provide a method and system for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate salt, which improves various indicators of wastewater treatment by dynamically optimizing and controlling various control parameters of the salt precipitation treatment, and the salt precipitation process is stable and not easy to block the pipeline.

[0005] In the first aspect, in order to solve the above technical problems, the present invention provides a method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt, comprising:

[0006] Extracting raw water of the silica wastewater to be treated to obtain water quality information of the silica wastewater to be treated; and performing sodium carbonate concentration identification on the water quality information to obtain the sodium carbonate concentration of the raw water;

[0007] According to the sodium carbonate concentration of the raw water, a first salt precipitation treatment parameter is obtained; the first salt precipitation treatment parameter includes a first pH value parameter, a first temperature parameter and a first pressure parameter;

[0008] Starting the evaporation equipment and executing the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain salt precipitation operation indicators; the salt precipitation operation indicators include sodium bicarbonate decomposition rate, silicon dioxide solubility and precipitated sodium carbonate purity;

[0009] Compare the salt precipitation operation indicators with the target operation indicators to obtain the operation difference results;

[0010] Formulate multiple control strategies based on the operation difference results, optimize the multiple control strategies based on a multi-objective optimization algorithm, and obtain a salt precipitation optimization strategy;

[0011] Solve the optimal solution of the salt precipitation optimization strategy to determine the second salt precipitation treatment parameter, and execute the second salt precipitation treatment parameter to perform salt precipitation treatment on the white carbon black wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter and a second pressure parameter.

[0012] In one embodiment of the present invention, after executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the white carbon black wastewater, the method further includes real-time monitoring of the salt precipitation operation index and updating the second salt precipitation treatment parameter according to the monitoring result.

[0013] In one embodiment of the present invention, the first salt precipitation treatment parameter is obtained according to the raw water sodium carbonate concentration, including:

[0014] Obtaining a historical operation log table of the evaporation equipment;

[0015] Taking the raw water sodium carbonate concentration as a constraint condition and the attribute of the first salt precipitation treatment parameter as a search target, traversing the historical operation log table to extract the control parameter record data of the evaporation equipment;

[0016] Filtering out a pH value parameter group, a temperature parameter group, and a pressure parameter group from the control parameter record data;

[0017] Obtaining the first pH parameter according to the pH parameter group;

[0018] Obtaining the first temperature parameter according to the temperature parameter group;

[0019] The first pressure parameter is obtained according to the pressure parameter group.

[0020] In one embodiment of the present invention, obtaining the first pH parameter according to the pH parameter group includes:

[0021] Rearranging the pH value parameter group according to a time sequence to obtain a time sequence pH value parameter group;

[0022] Traversing the time series pH parameter group to search for a pH inflection point, and determining a time t1 and a pH value corresponding to the pH inflection point; wherein the pH inflection point is described as a pH value at time t1 being greater than or equal to a pH value at a previous time t1-1 and greater than a pH value at a subsequent time t1+1;

[0023] Taking time t1 as the starting point, reversely search for the pH control starting point and determine the time t2 corresponding to the pH control starting point; wherein the pH control starting point is described as the time point corresponding to the pH value of 7.9 to 8.1 and the time point closest to time t1;

[0024] All pH values ​​of the time series pH value parameter group between time t2 and time t1 are continuously extracted to generate the first pH value parameter.

[0025] In one embodiment of the present invention, obtaining the first temperature parameter according to the temperature parameter group includes:

[0026] Rearrange the temperature parameter group according to the time sequence to obtain a time sequence temperature parameter group;

[0027] Traversing the timing temperature parameter group to search for a temperature inflection point, and determining the time t3 and temperature value corresponding to the temperature inflection point; wherein the temperature inflection point is described as the temperature at time t3 being less than or equal to the temperature at the previous time t3-1 and less than the temperature at the next time t3+1;

[0028] Starting at time t3, search forward for the temperature control end point, and determine the time t4 corresponding to the temperature control end point; wherein the temperature control end point is described as the time point corresponding to the temperature of 105°C-112°C and the time point closest to time t3;

[0029] All temperature data of the time series temperature parameter group between time t3 and time t4 are continuously extracted to generate the first temperature parameter.

[0030] In one embodiment of the present invention, obtaining the first pressure parameter according to the pressure parameter group includes:

[0031] Rearranging the pressure parameter group according to a time sequence to obtain a time sequence pressure parameter group;

[0032] Traversing the time series pressure parameter group to search for a pressure drop trend segment, and determining a drop start time t5 and a drop end time t6 corresponding to the pressure drop trend segment, as well as pressure values ​​corresponding to the drop start time t5 and the drop end time t6, respectively; wherein the pressure drop trend segment is described as a control period corresponding to a continuous pressure drop;

[0033] The first pressure parameter is generated by continuously extracting all pressure data of the time series pressure parameter group between the descent start time t5 and the descent end time t6.

[0034] In one embodiment of the present invention, multiple control strategies are formulated according to the operation difference results, and the multiple control strategies are optimized based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy; including:

[0035] A silica wastewater treatment mechanism model was constructed. Based on the historical operating data of the evaporation equipment, the silica wastewater treatment mechanism model was trained with temperature, pressure, and pH as input parameters and sodium bicarbonate decomposition rate, silica solubility, and precipitated sodium carbonate purity as output parameters to obtain a silica wastewater treatment model.

[0036] With the goal of maximizing the sodium bicarbonate decomposition rate, the variables of the silica wastewater treatment model are optimized by a genetic algorithm, and the optimal control variable combination is solved within the constraints to obtain a first control strategy;

[0037] With the goal of maximizing silica solubility, the variables of the silica wastewater treatment model are optimized using a genetic algorithm, and the optimal control variable combination is solved within the constraints to obtain a second control strategy;

[0038] With the goal of maximizing the purity of precipitated sodium carbonate, a genetic algorithm is used to optimize the variables of the silica wastewater treatment model, and the optimal control variable combination is solved within the constraints to obtain a third control strategy;

[0039] Weights are configured for the first control strategy, the second control strategy, and the third control strategy respectively, and the first control strategy, the second control strategy, and the third control strategy are optimized based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy.

[0040] In one embodiment of the present invention, the constraint condition is:

[0041] ;

[0042] Where T is temperature, pH is pH value, and P is pressure.

[0043] In one embodiment of the present invention, the weight of the second control strategy is greater than the weights of the first control strategy and the third control strategy.

[0044] In a second aspect, in order to solve the above technical problems, the present invention also provides a system for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate salt, comprising:

[0045] A data acquisition module, which is used to collect water quality information and sodium carbonate concentration of raw water of silica wastewater to be treated;

[0046] a preliminary operation module, which obtains a first salt precipitation treatment parameter based on the sodium carbonate concentration of the raw water; the evaporation equipment executes the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain a salt precipitation operation index; wherein the first salt precipitation treatment parameter includes a first pH parameter, a first temperature parameter, and a first pressure parameter; the salt precipitation operation index includes a sodium bicarbonate decomposition rate, a silicon dioxide solubility, and a purity of the precipitated sodium carbonate;

[0047] A decision optimization module formulates multiple control strategies based on the operating difference between the salt precipitation operating index and the target operating index, optimizes the multiple control strategies based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy; and solves the optimal solution of the salt precipitation optimization strategy to determine a second salt precipitation treatment parameter; the second salt precipitation treatment parameter is used to guide the salt precipitation treatment of the silica wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter, and a second pressure parameter.

[0048] The above technical solution of the present invention has the following beneficial effects compared with the prior art:

[0049] The method and system for optimizing salt precipitation from white carbon black wastewater containing sodium carbonate described in the present invention can effectively improve wastewater treatment efficiency, reduce environmental burden, and achieve resource recovery and recycling. By dynamically optimizing and controlling various control parameters of the salt precipitation treatment (such as temperature, pressure, and pH value), various wastewater treatment indicators are stabilized and improved. The salt precipitation process is stable and not prone to pipe clogging. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments of the present invention in conjunction with the accompanying drawings, wherein:

[0051] Figure 1 Flow chart of the optimization method for salt precipitation of white carbon black wastewater containing sodium carbonate salt in a preferred embodiment of the present invention;

[0052] Figure 2 This is a structural block diagram of the salt precipitation optimization system for white carbon black wastewater containing sodium carbonate salt in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0053] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention. Example 1

[0054] The following should be explained:

[0055] Sodium bicarbonate NaHCO3 is decomposed into sodium carbonate Na2CO3, water and carbon dioxide after heating. Water and carbon dioxide are released, and sodium carbonate remains in the wastewater. It is evaporated and then cooled to cause sodium carbonate crystals to precipitate. The salt precipitation product is then obtained by centrifugation, filtration and drying.

[0056] Wastewater contains a certain concentration of silica, which has low solubility in water. After precipitation, it will easily clog the pipes, resulting in reduced treatment efficiency and even causing equipment to be scrapped in serious cases.

[0057] The inventors of the present application have discovered through continuous experiments that the decomposition rate and decomposition ratio of sodium bicarbonate are related to temperature, pH value and pressure, and the solubility of silicon dioxide is related to pH value and temperature.

[0058] Reference Figure 1 As shown, the embodiment of the present invention discloses a method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt, comprising extracting raw water of the white carbon black wastewater to be treated to obtain water quality information of the white carbon black wastewater to be treated; and performing sodium carbonate concentration identification on the water quality information to obtain the sodium carbonate concentration of the raw water;

[0059] In specific application scenarios, the waste outlet of silica is connected to the evaporation equipment to extract the raw wastewater entering the evaporation tank and measure the water quality information of the raw wastewater, including physical indicators, biological indicators, chemical indicators and other indicators, such as temperature, pH value, conductivity, turbidity, suspended matter, odor, sodium ion concentration, carbonate ion concentration, bicarbonate ion concentration and sodium carbonate concentration.

[0060] According to the sodium carbonate concentration of the raw water, a first salt precipitation treatment parameter is obtained; the first salt precipitation treatment parameter includes a first pH value parameter, a first temperature parameter and a first pressure parameter;

[0061] In specific application scenarios, the initial concentration of sodium carbonate plays a crucial role in controlling pH and temperature during the treatment process. For example, sodium carbonate is an alkaline salt that increases the pH of the solution when dissolved in water. The higher the initial concentration, the more pronounced the alkalinity. Under high concentration conditions, the pH of the wastewater can rise rapidly; changes in pH indirectly affect temperature control. Screening and determining the initial salt precipitation treatment parameters (i.e., the first salt precipitation treatment parameters) based on the raw water sodium carbonate concentration provides the most accurate control parameter foundation for subsequent salt precipitation treatment. Setting salt precipitation parameters based directly on the sodium bicarbonate decomposition reaction mechanism without considering the raw water sodium carbonate concentration can lead to control distortion, affecting the time and amount of sodium carbonate crystallization, extending the treatment cycle, and reducing treatment efficiency.

[0062] Starting the evaporation equipment and executing the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain salt precipitation operation indicators; the salt precipitation operation indicators include sodium bicarbonate decomposition rate, silicon dioxide solubility and precipitated sodium carbonate purity;

[0063] In a specific application scenario, the evaporation equipment is started in the laboratory stage, and the control parameters of the evaporation equipment are set according to the pre-obtained first salt precipitation treatment parameters to obtain the salt precipitation operation indicators, that is, the sodium bicarbonate decomposition rate, silica solubility, and precipitated sodium carbonate purity. Among them, the sodium bicarbonate decomposition rate is preferably measured based on thermogravimetric analysis; the sodium carbonate purity is measured by ion chromatography. In addition, since silica has low solubility in water and is difficult to measure, the silica solubility is characterized by the amount of deposition in the pipeline in this solution.

[0064] Compare the salt precipitation operation indicators with the target operation indicators to obtain the operation difference results;

[0065] In specific application scenarios, target operating indicators are pre-set within a reasonable range based on actual application conditions, including a target sodium bicarbonate decomposition rate (e.g., 90%-94%); a target silica solubility (e.g., at the deposition site, the deposition area of ​​the pipe cross section accounts for 30%-40%); and a target sodium carbonate purity (e.g., 94%-99%). After operating in the laboratory based on the initial salt precipitation treatment parameters, salt precipitation operating indicators are obtained, including the sodium bicarbonate decomposition rate operating indicator, the silica solubility operating indicator, and the sodium carbonate operating indicator. Each salt precipitation operating indicator is compared with the target operating indicator to obtain the operating difference result. For example, if the sodium bicarbonate decomposition rate is lower than the target sodium bicarbonate decomposition rate, the sodium bicarbonate decomposition rate needs to be increased in subsequent control.

[0066] Formulate multiple control strategies based on the operation difference results, optimize the multiple control strategies based on a multi-objective optimization algorithm, and obtain a salt precipitation optimization strategy;

[0067] In a specific application scenario, the salt precipitation optimization method for white carbon black wastewater containing sodium carbonate salt described in the present invention has three optimization goals, namely, improving the decomposition rate of sodium bicarbonate, improving the purity of sodium carbonate, and reducing the amount of silica deposition. Control strategies are formulated for the three optimization goals respectively, and multiple control strategies are optimized through a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy.

[0068] Solving the optimal solution of the salt precipitation optimization strategy to determine a second salt precipitation treatment parameter, and executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the silica wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter, and a second pressure parameter;

[0069] In specific application scenarios, the optimal solution for the salt precipitation optimization strategy is sought, and the optimal control quantity combination is obtained to form the second salt precipitation treatment parameter. The control quantity combination includes the optimal pH value, the optimal temperature, and the optimal pressure; the second salt precipitation treatment parameter is used to replace the first salt precipitation treatment parameter for salt precipitation treatment.

[0070] The method further includes executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the silica wastewater, monitoring the salt precipitation operation index in real time, and updating the second salt precipitation treatment parameter according to the monitoring result;

[0071] In specific application scenarios, the salt precipitation processing parameters are continuously updated iteratively based on the real-time monitored salt precipitation operation indicator algorithm until the salt precipitation operation indicator converges to the target operation indicator.

[0072] The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salts disclosed herein determines the first salt precipitation treatment parameters based on the sodium carbonate concentration of the raw water, providing the most accurate control parameter basis for subsequent salt precipitation treatment. By dynamically optimizing and controlling various control parameters of the salt precipitation treatment (such as temperature, pressure, and pH value), various indicators of wastewater treatment are stabilized and improved, resulting in a stable salt precipitation process and less likely to clog pipelines.

[0073] Specifically, according to the sodium carbonate concentration of the raw water, a first salt precipitation treatment parameter is obtained, including obtaining a historical operation log table of the evaporation equipment; traversing the historical operation log table to extract control parameter record data of the evaporation equipment with the sodium carbonate concentration of the raw water as a constraint condition and the attribute of the first salt precipitation treatment parameter as a retrieval target; screening out a pH parameter group, a temperature parameter group, and a pressure parameter group from the control parameter record data; obtaining the first pH parameter according to the pH parameter group; obtaining the first temperature parameter according to the temperature parameter group; and obtaining the first pressure parameter according to the pressure parameter group.

[0074] Further, obtaining the first pH parameter according to the pH parameter group includes:

[0075] Step 1: rearranging the pH value parameter group according to the time sequence to obtain a time sequence pH value parameter group;

[0076] In specific application scenarios, the pH values ​​are rearranged according to the time sequence, so that the changing trend of the pH value during the salt precipitation process can be captured.

[0077] Step 2: Traverse the time series pH value parameter group to search for a pH inflection point, and determine the time t1 and pH value corresponding to the pH inflection point; wherein the pH inflection point is described as the pH value at time t1 being greater than or equal to the pH value at the previous time t1-1 and greater than the pH value at the next time t1+1;

[0078] In a specific application scenario, the pH value is controlled to be low in the initial stage of the salt precipitation treatment operation. The solubility of silica is low, and the pH value is controlled to be low so that silica precipitates in a controllable manner. The precipitated silica can be removed by filtration, and some solid impurities are removed along with it. As the salt precipitation treatment continues to operate, the pH value is controlled to increase, which on the one hand increases the decomposition rate of sodium bicarbonate and at the same time increases the solubility of silica. However, when the pH value increases to a certain level, it affects the crystallization of sodium carbonate. The pH inflection point is captured by traversing the time series pH value parameter group search and determining the time t1 and pH value corresponding to the pH inflection point. Here, the pH inflection point is described as the pH value at time t1 being greater than or equal to the pH value at the previous time t1-1 and greater than the pH value at the next time t1+1, that is, the pH inflection point is the end point of controlling the increase in pH value.

[0079] Step 3: Using time t1 as the starting point, reversely search for the pH control starting point and determine the time t2 corresponding to the pH control starting point; wherein the pH control starting point is described as the time point corresponding to the pH value of 7.9-8.1 and the time point closest to time t1;

[0080] In a specific application scenario, after the search captures the end point of controlling the pH increase, a reverse search (that is, a search in the historical direction) is performed to determine the starting point of pH control. Here, the starting point of pH control is the time point corresponding to the pH value of 7.9 to 8.1.

[0081] It should be noted that sodium carbonate is alkaline, the pH value of wastewater is above 7, and the higher the sodium carbonate concentration in the raw water, the more obvious the alkalinity; in order to shorten the pH adjustment period, the time point corresponding to the pH value of 7.9~8.1 is set as the pH control starting point to improve the efficiency of wastewater salt precipitation treatment, and more importantly, to avoid fluctuations and instability in the salt precipitation process.

[0082] Step 4: Continuously extract all pH values ​​of the time series pH parameter group between time t2 and time t1 to generate the first pH parameter, so that the complete first pH parameter can be quickly and accurately searched and captured from the historical log data.

[0083] Similarly, in other embodiments of the present invention, obtaining the first temperature parameter according to the temperature parameter group includes:

[0084] Step 1: Rearrange the temperature parameter group according to the time sequence to obtain a time sequence temperature parameter group;

[0085] In specific application scenarios, the temperatures are rearranged according to the time sequence, so that the temperature change trend during the salt precipitation process can be captured.

[0086] Step 2: traverse the timing temperature parameter group to search for a temperature inflection point, and determine the time t3 and temperature value corresponding to the temperature inflection point; wherein the temperature inflection point is described as the temperature at time t3 being less than or equal to the temperature at the previous time t3-1 and less than the temperature at the next time t3+1;

[0087] In specific application scenarios, controlling the temperature increase is beneficial to increasing the decomposition rate of sodium bicarbonate and the solubility of silicon dioxide. The starting point of controlling the temperature increase is captured in the timing temperature parameter group as the temperature inflection point.

[0088] Step 3: Starting from time t3, search forward for the temperature control end point and determine the time t4 corresponding to the temperature control end point; wherein the temperature control end point is described as the time point corresponding to the temperature of 105°C-112°C and the time point closest to time t3;

[0089] It should be noted that the decomposition rate of sodium bicarbonate and the solubility of silicon dioxide are increased by increasing the temperature, but when the temperature is raised to a certain level, other chemical reactions will occur, thereby affecting the crystallization of sodium carbonate. In order to avoid the crystallization of sodium carbonate caused by excessive temperature adjustment, the time point corresponding to the temperature of 105°C-112°C is set as the temperature control end point to increase the amount of sodium carbonate crystallization. More importantly, it is to avoid fluctuations and instability in the salt precipitation process.

[0090] Step 4: continuously extract all temperature data of the time series temperature parameter group between time t3 and time t4 to generate the first temperature parameter, so that the complete first temperature parameter can be quickly and accurately searched and captured from the historical log data.

[0091] Similarly, in other embodiments of the present invention, obtaining the first pressure parameter according to the pressure parameter group includes:

[0092] Step 1: Rearrange the pressure parameter group according to the time sequence to obtain a time sequence pressure parameter group;

[0093] In specific application scenarios, the pressure is rearranged according to the time sequence, so that the changing trend of the pressure during the salt precipitation operation can be captured.

[0094] Step 2: Traverse the time series pressure parameter group to search for a pressure drop trend segment, and determine the drop start time t5 and the drop end time t6 corresponding to the pressure drop trend segment, as well as the pressure values ​​corresponding to the drop start time t5 and the drop end time t6 respectively; wherein the pressure drop trend segment is described as a control period corresponding to a continuous pressure drop;

[0095] Step 3: Continuously extract all pressure data of the time series pressure parameter group between the descent start time t5 and the descent end time t6 to generate the first pressure parameter, so that the complete first pressure parameter can be quickly and accurately searched and captured from the historical log data.

[0096] Furthermore, in other embodiments of the present invention, multiple control strategies are formulated according to the operation difference results, and the multiple control strategies are optimized based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy, including:

[0097] Step 1: Construct a silica wastewater treatment mechanism model. Based on the historical operating data of the evaporation equipment, the silica wastewater treatment mechanism model is trained with temperature, pressure, and pH as input parameters and sodium bicarbonate decomposition rate, silica solubility, and precipitated sodium carbonate purity as output parameters to obtain a silica wastewater treatment model.

[0098] Step 2: With the goal of maximizing the decomposition rate of sodium bicarbonate, the variables of the silica wastewater treatment model are optimized through a genetic algorithm, and the optimal control quantity combination is solved within the constraints to obtain a first control strategy; the first control strategy helps to improve the effective removal rate of sodium bicarbonate during the treatment process, thereby promoting the separation of impurities and improving the efficiency of subsequent treatment.

[0099] With the goal of maximizing silica solubility, the variables of the white carbon black wastewater treatment model are optimized through a genetic algorithm, and the optimal control quantity combination is solved within the constraints to obtain a second control strategy; the second control strategy helps to solve the problem of pipeline blockage caused by silica precipitation.

[0100] With the goal of maximizing the purity of precipitated sodium carbonate, a genetic algorithm is used to optimize the variables of the silica wastewater treatment model, and the optimal control quantity combination is solved within the constraints to obtain a third control strategy. The third control strategy ensures that the final product meets quality standards by improving the purity of sodium carbonate, thereby enhancing the product's market competitiveness and increasing economic benefits.

[0101] By optimizing each control objective (maximizing the sodium bicarbonate decomposition rate, maximizing the silica solubility, and maximizing the sodium carbonate purity) through genetic algorithms, the adaptability of the operating parameters to the objectives can be effectively improved, ensuring that the resulting control strategy performs optimally under specific conditions.

[0102] Step 3: Assign weights to the first control strategy, the second control strategy, and the third control strategy respectively, and optimize the first control strategy, the second control strategy, and the third control strategy based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy.

[0103] By comprehensively optimizing the three strategies through a multi-objective optimization algorithm, it is possible to find the optimal solution among multiple objectives, ensuring the coordinated improvement of various indicators, thereby effectively improving wastewater treatment efficiency.

[0104] The constraints are:

[0105] ;

[0106] Where T is temperature, pH is pH value, and P is pressure.

[0107] In one embodiment of the present invention, the weight of the second control strategy is greater than the weights of the first control strategy and the third control strategy; the weight is used to describe the degree of influence of each control strategy on the result. In this embodiment, the second control strategy is assigned the largest weight, the purpose of which is to maximize the influence of silica solubility on the result and to ensure that the pipeline will not be blocked to the greatest extent. Example 2

[0108] Reference Figure 2 As shown, the present invention also provides a sodium carbonate-containing white carbon black wastewater salt precipitation optimization system comprising:

[0109] A data acquisition module, which is used to collect water quality information and sodium carbonate concentration of raw water of silica wastewater to be treated;

[0110] a preliminary operation module, which obtains a first salt precipitation treatment parameter based on the sodium carbonate concentration of the raw water; the evaporation equipment executes the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain a salt precipitation operation index; wherein the first salt precipitation treatment parameter includes a first pH parameter, a first temperature parameter, and a first pressure parameter; the salt precipitation operation index includes a sodium bicarbonate decomposition rate, a silicon dioxide solubility, and a purity of the precipitated sodium carbonate;

[0111] A decision optimization module formulates multiple control strategies based on the operating difference between the salt precipitation operating index and the target operating index, optimizes the multiple control strategies based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy; and solves the optimal solution of the salt precipitation optimization strategy to determine a second salt precipitation treatment parameter; the second salt precipitation treatment parameter is used to guide the salt precipitation treatment of the silica wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter, and a second pressure parameter.

[0112] The salt precipitation optimization system for silica wastewater containing sodium carbonate disclosed in the embodiment of the present invention can effectively realize the optimized treatment of salt precipitation of silica wastewater, and the technical effects that can be achieved are as described in the above embodiments and will not be repeated here.

[0113] In summary, the salt precipitation optimization method and system for silica wastewater containing sodium carbonate described in the present invention can effectively improve wastewater treatment efficiency, reduce environmental burden, and realize resource recovery and recycling. By dynamically optimizing and controlling various control parameters of salt precipitation treatment (such as temperature, pressure, and pH value), various indicators of wastewater treatment can be stabilized and improved. The salt precipitation process is stable and not prone to clogging pipelines.

[0114] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0115] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0116] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0118] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A method for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate, characterized in that: include, Extracting raw water of white carbon black wastewater to be treated to obtain water quality information of the white carbon black wastewater to be treated; and performing sodium carbonate concentration identification on the water quality information to obtain raw water sodium carbonate concentration; According to the sodium carbonate concentration of the raw water, a first salt precipitation treatment parameter is obtained; the first salt precipitation treatment parameter includes a first pH value parameter, a first temperature parameter and a first pressure parameter; Starting the evaporation equipment and executing the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain a salt precipitation operation index; the salt precipitation operation index includes a sodium bicarbonate decomposition rate, a silicon dioxide solubility, and a purity of precipitated sodium carbonate; Compare the salt precipitation operation index with the target operation index to obtain the operation difference results; Formulate multiple control strategies according to the operation difference results, optimize the multiple control strategies based on a multi-objective optimization algorithm, and obtain a salt precipitation optimization strategy; Solving the optimal solution of the salt precipitation optimization strategy to determine the second salt precipitation treatment parameter, and executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the white carbon black wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter and a second pressure parameter; Wherein, according to the sodium carbonate concentration of the raw water, the first salt precipitation treatment parameter is obtained, including: Obtaining a historical operation log table of the evaporation equipment; Taking the raw water sodium carbonate concentration as a constraint condition and the attribute of the first salt precipitation treatment parameter as a search target, traversing the historical operation log table to extract the control parameter record data of the evaporation equipment; Filtering out a pH value parameter group, a temperature parameter group and a pressure parameter group from the control parameter record data; Obtaining the first pH value parameter according to the pH value parameter group; Obtaining the first temperature parameter according to the temperature parameter group; Obtaining the first pressure parameter according to the pressure parameter group; Formulate multiple control strategies according to the operation difference results, optimize the multiple control strategies based on a multi-objective optimization algorithm, and obtain a salt precipitation optimization strategy; including: Construct a white carbon black wastewater treatment mechanism model. According to the historical operation data of the evaporation equipment, the temperature, pressure and pH value are used as input parameters, and the sodium bicarbonate decomposition rate, silica solubility and sodium carbonate purity are used as output parameters to train the white carbon black wastewater treatment mechanism model to obtain the white carbon black wastewater treatment model. With the goal of maximizing the sodium bicarbonate decomposition rate, the variables of the white carbon black wastewater treatment model are optimized by a genetic algorithm, and the optimal control quantity combination is solved within the constraints to obtain a first control strategy; With the goal of maximizing the solubility of silicon dioxide, the variables of the white carbon black wastewater treatment model are optimized by genetic algorithm, and the optimal control quantity combination is solved within the constraints to obtain the second control strategy; With the goal of maximizing the purity of sodium carbonate, the variables of the white carbon black wastewater treatment model are optimized by a genetic algorithm, and the optimal control quantity combination is solved within the constraints to obtain a third control strategy; respectively configuring weights for the first control strategy, the second control strategy, and the third control strategy, and optimizing the first control strategy, the second control strategy, and the third control strategy based on a multi-objective optimization algorithm to obtain a salt precipitation optimization strategy; The constraints are: ； Where T is temperature, pH is pH value, and P is pressure.

2. The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt according to claim 1, characterized in that: After executing the second salt precipitation treatment parameter to perform salt precipitation treatment on the white carbon black wastewater, it also includes real-time monitoring of the salt precipitation operation index and updating the second salt precipitation treatment parameter according to the monitoring result.

3. The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt according to claim 1, characterized in that: Obtaining the first pH parameter according to the pH parameter group includes: Rearrange the pH value parameter group according to the time sequence to obtain a time sequence pH value parameter group; Traversing the time series pH value parameter group to search for a pH value inflection point, and determining the time t1 and pH value corresponding to the pH value inflection point; wherein the pH value inflection point is described as a pH value at time t1 being greater than or equal to the pH value at the previous time t1-1 and greater than the pH value at the next time t1+1; Taking time t1 as the starting point, reversely search for the pH value control starting point, and determine the time t2 corresponding to the pH value control starting point; wherein the pH value control starting point is described as a time point corresponding to a pH value of 7.9 to 8.1, and the time point closest to time t1; All pH values ​​of the time series pH value parameter group between time t2 and time t1 are continuously extracted to generate the first pH value parameter.

4. The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt according to claim 1, characterized in that: Obtaining the first temperature parameter according to the temperature parameter group includes: Rearrange the temperature parameter group according to the time sequence to obtain a time sequence temperature parameter group; Traversing the timing temperature parameter group to search for a temperature inflection point, and determining the time t3 and temperature value corresponding to the temperature inflection point; wherein the temperature inflection point is described as a temperature at time t3 being less than or equal to a temperature at a previous time t3-1 and less than a temperature at a subsequent time t3+1; Taking time t3 as the starting point, search the temperature control end point in a forward direction, and determine the time t4 corresponding to the temperature control end point; wherein the temperature control end point is described as the time point corresponding to the temperature of 105°C-112°C and the time point closest to time t3; The first temperature parameter is generated by continuously extracting all temperature data of the time series temperature parameter group between time t3 and time t4.

5. The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate salt according to claim 1, characterized in that: Obtaining the first pressure parameter according to the pressure parameter group includes: Rearrange the pressure parameter group according to the time sequence to obtain a time sequence pressure parameter group; Traversing the time series pressure parameter group to search for a pressure drop trend segment, and determining a drop start time t5 and a drop end time t6 corresponding to the pressure drop trend segment, and pressure values ​​corresponding to the drop start time t5 and the drop end time t6 respectively; wherein the pressure drop trend segment is described as a control period corresponding to a continuous drop in pressure; The first pressure parameter is generated by continuously extracting all pressure data of the time series pressure parameter group between the descent start time t5 and the descent end time t6.

6. The method for optimizing salt precipitation of white carbon black wastewater containing sodium carbonate according to claim 1, characterized in that: The weight of the second control strategy is greater than the weights of the first control strategy and the third control strategy.

7. A system for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate salt, used to implement the method for optimizing the salt precipitation of white carbon black wastewater containing sodium carbonate salt as claimed in any one of claims 1 to 6, characterized in that: include, A data acquisition module, which is used to collect water quality information and sodium carbonate concentration of raw water of white carbon black wastewater to be treated; A preliminary operation module, which obtains a first salt precipitation treatment parameter according to the sodium carbonate concentration of the raw water; the evaporation equipment executes the first salt precipitation treatment parameter to treat the white carbon black wastewater to obtain a salt precipitation operation index; wherein the first salt precipitation treatment parameter includes a first pH value parameter, a first temperature parameter and a first pressure parameter; the salt precipitation operation index includes a sodium bicarbonate decomposition rate, a silicon dioxide solubility and a purity of precipitated sodium carbonate; A decision optimization module formulates multiple control strategies according to the operation difference between the salt precipitation operation index and the target operation index, optimizes the multiple control strategies based on a multi-objective optimization algorithm, and obtains a salt precipitation optimization strategy; and solves the optimal solution of the salt precipitation optimization strategy to determine a second salt precipitation treatment parameter; the second salt precipitation treatment parameter is used to guide the salt precipitation treatment of the white carbon black wastewater; wherein the second salt precipitation treatment parameter includes a second pH value parameter, a second temperature parameter and a second pressure parameter.

Images