CN117252310A - Titanium gypsum production process parameter adjustment optimization method and system - Google Patents
Titanium gypsum production process parameter adjustment optimization method and system Download PDFInfo
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- 239000010936 titanium Substances 0.000 title claims abstract description 328
- 229910052719 titanium Inorganic materials 0.000 title claims abstract description 328
- 239000010440 gypsum Substances 0.000 title claims abstract description 321
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- GWEVSGVZZGPLCZ-UHFFFAOYSA-N Titan oxide Chemical compound O=[Ti]=O GWEVSGVZZGPLCZ-UHFFFAOYSA-N 0.000 claims abstract description 124
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Abstract
The disclosure provides a method and a system for adjusting and optimizing parameters of a titanium gypsum production process, which relate to the technical field of data processing, wherein the method comprises the following steps: performing titanium gypsum application quality analysis to obtain a titanium gypsum quality coefficient, and performing titanium pigment production quality analysis to obtain a titanium pigment quality coefficient; optimizing the yield process parameters of preparing titanium dioxide by a sulfuric acid method based on the yield optimization function to obtain optimized yield process parameters; according to the titanium gypsum application scene information and the yield information, carrying out application cost coefficient analysis, and constructing a purification optimization function of the purification process parameters by combining the titanium gypsum quality coefficient and the application cost coefficient; optimizing purification process parameters; and (3) carrying out titanium gypsum production based on the optimized output process parameters and the optimized purification process parameters. The method can solve the technical problem that the existing titanium gypsum production method has low application value of titanium gypsum, and can improve the application value of titanium gypsum.
Description
Technical Field
The disclosure relates to the technical field of data processing, and more particularly, to a method and a system for adjusting and optimizing parameters of a titanium gypsum production process.
Background
The titanium gypsum is an industrial byproduct generated in the production process of titanium dioxide, the main component of the titanium gypsum is dihydrate gypsum, the expected use of the titanium gypsum is not considered in the existing process of producing titanium dioxide by a sulfuric acid method, so that the output quality of the titanium gypsum is low in adaptation degree with the expected use, and meanwhile, the application value of the titanium gypsum is low due to the fact that the application cost of the existing purification process of the titanium gypsum is high, so that the application value of the titanium gypsum is improved, and the key factor for improving the utilization rate of the titanium gypsum is how to improve.
The existing titanium gypsum production method has the following defects: the low production quality and the high application cost lead to the low application value of the titanium gypsum.
Disclosure of Invention
Therefore, in order to solve the above technical problems, the technical solution adopted in the embodiments of the present disclosure is as follows:
a titanium gypsum production process parameter adjustment optimization method comprises the following steps: acquiring titanium dioxide quality requirement information for producing titanium dioxide based on a sulfuric acid method and application scene information for utilizing byproduct titanium gypsum; according to the application scene information, performing quality analysis of titanium gypsum application to obtain a titanium gypsum quality coefficient, and according to the titanium pigment quality requirement information, performing quality analysis of titanium pigment production to obtain a titanium pigment quality coefficient; combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct a yield optimization function for optimizing yield technological parameters of preparing titanium pigment by a sulfuric acid method; optimizing the yield process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the yield optimization function to obtain optimized yield process parameters, wherein the optimized yield process parameters comprise optimized sulfuric acid concentration, optimized titanium ore component, optimized acidolysis temperature and optimized neutral lime component; calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium white, analyzing an application cost coefficient of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function for optimizing purification process parameters for purifying titanium gypsum by combining the titanium gypsum quality coefficient and the application cost coefficient; optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters; and carrying out titanium gypsum production based on the optimized output technological parameters and the optimized purification technological parameters.
Constructing a purification optimization function for optimizing purification process parameters for purifying titanium gypsum; the purification process parameter optimization module is used for optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters; and the titanium gypsum production module is used for producing titanium gypsum based on the optimized output technological parameters and the optimized purification technological parameters.
By adopting the technical method, compared with the prior art, the technical progress of the present disclosure has the following points:
the technical problem that the titanium gypsum has low production quality and application cost and low application value caused by the fact that the conventional titanium gypsum production method is low in titanium gypsum production quality can be solved, and firstly, the quality requirement information of titanium pigment for producing titanium pigment based on a sulfuric acid method and the application scene information for utilizing byproduct titanium gypsum are obtained; then, according to the application scene information, carrying out quality analysis of titanium gypsum application to obtain a titanium gypsum quality coefficient, and according to the titanium pigment quality requirement information, carrying out quality analysis of titanium pigment production to obtain a titanium pigment quality coefficient; further combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct a yield optimization function, wherein the yield optimization function is used for optimizing yield technological parameters of preparing titanium pigment by a sulfuric acid method; optimizing the yield process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the yield optimization function to obtain optimized yield process parameters, wherein the optimized yield process parameters comprise optimized sulfuric acid concentration, optimized titanium ore component, optimized acidolysis temperature and optimized neutralization lime component; calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium white, analyzing an application cost coefficient of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function by combining the titanium gypsum quality coefficient and the application cost coefficient, wherein the purification optimization function is used for optimizing purification process parameters of titanium gypsum; then optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters; and finally, based on the optimized output technological parameters and the optimized purification technological parameters, producing titanium gypsum. By the method, on the premise of not influencing the production quality of titanium dioxide, the adaptation degree of the production quality of titanium gypsum and an application scene can be improved, so that the application quality requirement of titanium gypsum is met; meanwhile, on the premise of ensuring the purification quality of the titanium gypsum, the application cost of the titanium gypsum is reduced, and the application value of the titanium gypsum is improved, so that the utilization rate of the titanium gypsum is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings that are used in the description of the embodiments will be briefly described below.
FIG. 1 is a schematic flow chart of a method for optimizing adjustment of parameters of a titanium gypsum production process;
FIG. 2 is a schematic flow chart of obtaining titanium pigment quality coefficient and titanium gypsum quality coefficient in the optimization method of adjusting the production process parameters of titanium gypsum;
fig. 3 is a schematic structural diagram of a system for adjusting and optimizing parameters of a titanium gypsum production process.
Reference numerals illustrate: the system comprises an information acquisition module 01, a quality analysis module 02, a yield optimization function construction module 03, an optimized yield process parameter acquisition module 04, a purification optimization function construction module 05, a purification process parameter optimization module 06 and a titanium gypsum production module 07.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure are intended to be within the scope of this disclosure.
Based on the above description, as shown in fig. 1, the present disclosure provides a method for adjusting and optimizing parameters of a titanium gypsum production process, including:
the method is used for optimizing production process parameters of the titanium gypsum, wherein the production process parameters comprise production process parameters of the titanium pigment produced by a sulfuric acid method and purification process parameters of the titanium gypsum, and the production process parameters are optimized, so that the adaptation degree of the production quality and application scene of the titanium gypsum can be improved on the premise of not affecting the production quality of the titanium pigment, and the application quality requirement of the titanium gypsum is met; by optimizing the purification process parameters, the application cost of the titanium gypsum can be reduced on the premise of ensuring the purification quality of the titanium gypsum; thereby improving the application value and the utilization rate of the titanium gypsum, wherein the method is specifically implemented in a titanium gypsum production process parameter adjusting and optimizing system.
Acquiring titanium dioxide quality requirement information for producing titanium dioxide based on a sulfuric acid method and application scene information for utilizing byproduct titanium gypsum;
In this application embodiment, at first, obtain the titanium white powder quality requirement information based on sulfuric acid process production titanium white powder, wherein titanium white powder is the white inorganic chemical pigment of current application more, is widely used in fields such as coating, plastics, paper, chemical fibre, and the like, and sulfuric acid process production process of producing titanium white powder mainly includes processes such as acidolysis, sedimentation fine filtration, hydrolysis, calcination, aftertreatment, titanium white powder quality requirement information includes indexes such as granularity quality requirement, whiteness quality requirement, volatile matter content requirement and moisture content requirement, and the person skilled in the art can set up according to the practical application demand of titanium white powder.
Acquiring application scene information of industrial byproduct titanium gypsum for producing titanium pigment based on a sulfuric acid method, wherein the application scene information can be set by a person skilled in the art according to the actual application scene of the titanium gypsum, and the application scene comprises: conventional building materials such as cement, concrete, baked bricks and the like; soil conditioner and soil cadmium pollution modifier; the new materials such as flame retardant, light wall material, gypsum painting, etc. are produced. Wherein the quality requirements of the titanium gypsum corresponding to different application scenes are different. By obtaining the quality requirement information of the titanium dioxide and the application scene information of the titanium gypsum, data support is provided for the production quality analysis of the next step of titanium dioxide and the application quality analysis of the titanium gypsum.
According to the application scene information, performing quality analysis of titanium gypsum application to obtain a titanium gypsum quality coefficient, and according to the titanium pigment quality requirement information, performing quality analysis of titanium pigment production to obtain a titanium pigment quality coefficient;
in the embodiment of the application, firstly, obtaining corresponding application quality requirements according to the application scene information, and then carrying out quality analysis on the application quality requirements based on a titanium gypsum quality analysis channel to obtain a titanium gypsum quality coefficient; and analyzing the production quality of the titanium dioxide according to the titanium dioxide quality requirement information and the standard quality requirement of the titanium dioxide, and obtaining the quality coefficient of the titanium dioxide through calculation.
As shown in fig. 2, in one embodiment, the method further comprises:
acquiring a quality requirement parameter threshold of the titanium dioxide;
calculating to obtain the quality coefficient of the titanium dioxide according to the quality requirement information of the titanium dioxide and the quality requirement parameter threshold;
carrying out data screening and extraction on the data records produced by the titanium gypsum to obtain a sample application scene set;
according to the quality requirements of impurity elements in titanium gypsum in a plurality of sample application scenes, a sample titanium gypsum quality requirement information set is obtained, and a sample titanium gypsum quality coefficient set is calculated and obtained by combining the average content of the impurity elements in the titanium gypsum;
Training a titanium gypsum quality analysis channel by adopting the sample titanium gypsum quality requirement information set and the sample titanium gypsum quality coefficient set;
and analyzing the input application scene information based on the titanium gypsum mass analysis channel to obtain a titanium gypsum mass coefficient.
In the embodiment of the application, firstly, a quality requirement parameter threshold value of the titanium white powder is obtained, wherein the quality requirement parameter threshold value refers to a standard qualified quality index of the titanium white powder, and the standard qualified quality index comprises a plurality of qualified quality parameters, such as: standard whiteness, standard granularity, etc., which can be set by those skilled in the art according to the actual situation. And then carrying out titanium dioxide quality coefficient calculation according to the titanium dioxide quality requirement information and the quality requirement parameter threshold, firstly calculating the ratio of the actual quality parameter in the titanium dioxide quality requirement information to the corresponding qualified quality parameter in the quality requirement parameter threshold, taking the ratio as a coefficient of a single quality parameter to obtain a plurality of quality parameter coefficients, then carrying out mean value calculation on the plurality of quality parameter coefficients, and taking the mean value calculation result as the titanium dioxide quality coefficient to obtain the titanium dioxide quality coefficient. By obtaining the quality coefficient of the titanium dioxide, support is provided for the next step of constructing the output optimization function.
Firstly, historical production record data of titanium gypsum is obtained, the historical production record data comprise data of a historical manufacturing process, historical titanium gypsum impurity content, historical application scene and the like, then application scene data in the historical production record data are extracted to obtain a sample application scene set, the sample application scene set comprises a plurality of sample application scenes, and the sample application scene has a corresponding relation with the titanium gypsum impurity content. And then obtaining a sample titanium gypsum quality requirement information set according to the quality requirements of the impurity element content in the titanium gypsum in the application scenes of the samples.
And obtaining the average content of the impurity elements in the titanium gypsum, wherein the average content of the impurity elements can be obtained by carrying out average calculation on the impurity element content data of a plurality of samples. And then sequentially calculating the quality coefficients of the titanium gypsum for a plurality of sample titanium gypsum in the sample titanium gypsum quality requirement information set according to the average content of the impurity elements, firstly, taking the reciprocal of the ratio of the quality requirement parameter in the sample titanium gypsum quality requirement information to the corresponding quality requirement parameter in the average content of the impurity elements as the quality coefficient of the quality requirement parameter, namely, the smaller the content of the element impurity is, the higher the quality coefficient of the corresponding parameter is, obtaining a plurality of parameter quality coefficients, then carrying out average calculation on the plurality of parameter quality coefficients, taking the average calculation result as the sample titanium gypsum quality coefficient, sequentially calculating to obtain a plurality of sample titanium gypsum quality coefficients, and constructing the sample titanium gypsum quality coefficient set.
The method comprises the steps of constructing a titanium gypsum quality analysis channel based on a BP neural network, wherein the titanium gypsum quality analysis channel is a neural network model which can be subjected to iterative optimization in machine learning, and is obtained by performing supervised learning through a training data set, wherein input data of the titanium gypsum quality analysis channel are titanium gypsum quality requirement information, and output data are titanium gypsum quality coefficients. And then the sample titanium gypsum quality requirement information set and the sample titanium gypsum quality coefficient set are adopted as sample training data of the titanium gypsum quality analysis channel, the sample training data are divided into a sample training set and a sample verification set according to a preset data dividing rule, and the preset data dividing rule can be set by a person skilled in the art in a self-defined manner based on practical conditions, for example, the sample training set is set to have a 90% ratio and the sample verification set is set to have a 10% ratio.
Performing supervised training on the titanium gypsum quality analysis channel according to the sample training set, firstly randomly selecting sample data in the sample training set as first sample data, and then performing supervised training on the titanium gypsum quality analysis channel through the first sample data to obtain a first titanium gypsum quality coefficient; judging the quality coefficient of the first titanium gypsum and the quality coefficient of the sample titanium gypsum in the first sample data, and performing supervision training of the next group of sample data when the quality coefficient of the first titanium gypsum and the quality coefficient of the sample titanium gypsum in the first sample data are consistent; when the output results are inconsistent, calculating the output error between the two, optimizing the titanium gypsum quality analysis channel according to the output error, performing supervision training on the next group of training data, performing iterative training continuously through the sample training data in the sample training set until the output result of the titanium gypsum quality analysis channel tends to be stable, performing verification training on the output result of the titanium gypsum quality analysis channel through the sample verification set, and setting verification training indexes such as: and setting the verification training index as the output result accuracy rate of 98%, and continuously performing iterative verification training until the output result accuracy rate of the titanium gypsum quality analysis channel is more than or equal to the verification training index, so as to obtain the titanium gypsum quality analysis channel after training.
And obtaining actual quality requirement information of the titanium gypsum according to the application scene information of the titanium gypsum, inputting the actual quality requirement information into a titanium gypsum quality analysis channel after training is completed, and outputting a titanium gypsum quality coefficient. By constructing a titanium gypsum mass analysis channel based on the BP neural network to perform titanium gypsum mass analysis, the efficiency and accuracy of obtaining the titanium gypsum mass coefficient can be improved. By obtaining the titanium gypsum quality coefficient, data support is provided for constructing the output optimization function.
Combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct a yield optimization function for optimizing yield technological parameters of preparing titanium pigment by a sulfuric acid method;
in the embodiment of the application, the titanium gypsum quality coefficient and the titanium pigment quality coefficient are combined to construct a yield optimization function, and the yield optimization function is an fitness function for optimizing yield technological parameters of preparing titanium pigment by a sulfuric acid method.
In one embodiment, the method further comprises:
and constructing a yield optimization function for optimizing yield technological parameters of preparing titanium dioxide by a sulfuric acid method by combining the titanium gypsum quality coefficient and the titanium dioxide quality coefficient, wherein the yield optimization function comprises the following formula:
；
Wherein pro is the yield fitness,and->M is the category number of the quality parameters of the titanium dioxide and is the weight +.>Is the quality coefficient of titanium dioxide>In order to produce the ratio of the ith quality parameter of the obtained titanium white powder and the ith quality parameter requirement information in the titanium white powder quality requirement information according to the output technological parameters, N is the category number of impurity elements in titanium gypsum,is titanium gypsum mass coefficient%>The content of the j-th impurity element in the titanium gypsum is produced according to the production process parameters.
In the embodiment of the present application, firstly, a yield optimization function is constructed by combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient, wherein the expression of the yield optimization function is:the method comprises the steps of carrying out a first treatment on the surface of the In the output optimization function expression, pro is output fitness, wherein the larger the pro value is, the higher the comprehensive value of the output quality of the output technological parameter is represented; />And->Respectively weighing the titanium white output quality and the titanium gypsum output quality, whereinAnd->The person skilled in the art can set the importance level of the integrated value according to which index, wherein the greater the importance level is, the greater the corresponding weight is, typically + >Far greater than->The weight setting can be performed by the existing coefficient of variation method, which is a commonly used weighting method for those skilled in the art, and will not be described here; m is the category number of the quality parameters of the titanium dioxide; />The titanium dioxide is the quality coefficient of titanium dioxide; />The method comprises the steps of producing the ratio of the ith quality parameter of the obtained titanium white powder to the ith quality parameter requirement information in the titanium white powder quality requirement information according to the production process parameters, wherein the ith quality parameter is any one of a plurality of quality parameter categories of the titanium white powder; n is the category number of impurity elements in the titanium gypsum; />The quality coefficient of the titanium gypsum is the content of the j-th impurity element in the titanium gypsum produced according to the production process parameters, wherein the j-th impurity element is any impurity element in the impurity element categories in the titanium gypsum.
By constructing the output optimization function, the comprehensive value of the output process parameters can be accurately and intuitively represented, meanwhile, the accuracy and the efficiency of the comprehensive value calculation can be improved, and support is provided for optimizing the output process parameters.
Optimizing the yield process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the yield optimization function to obtain optimized yield process parameters, wherein the optimized yield process parameters comprise optimized sulfuric acid concentration, optimized titanium ore component, optimized acidolysis temperature and optimized neutral lime component;
In the embodiment of the application, according to the output optimization function, the output process parameters of preparing titanium pigment by a sulfuric acid method and producing titanium gypsum are optimized based on an optimization algorithm, so that optimized output process parameters are generated, wherein the optimized output process parameters comprise optimized sulfuric acid concentration, optimized titanium ore components, optimized acidolysis temperature and optimized neutral lime components.
In one embodiment, the method further comprises:
obtaining a yield process parameter space;
randomly selecting and obtaining a plurality of first output process parameters in the output process parameter space;
according to the first yield process parameters, performing a simulation production test of titanium pigment and titanium gypsum, obtaining a quality parameter set of the produced titanium pigment and an impurity element content set in the titanium gypsum, and calculating to obtain first yield fitness by combining the yield optimization function;
dividing a plurality of first output process parameters into P first output process parameters and Q tail first output process parameters according to the plurality of first output fitness, wherein P and Q are integers larger than 1;
according to the first output fitness of the P first output process parameters, P response numbers are calculated and distributed, and response classification is carried out on the Q tail first output process parameters to obtain P output process parameter clusters;
In this embodiment of the present application, first, yield process parameters including sulfuric acid concentration, titanium ore component, acidolysis temperature, and neutral lime component are obtained, and then a yield process parameter space is constructed according to the yield process parameters, where the yield process parameter space is a threshold value of a range where the yield process parameters are adjustable, and those skilled in the art can set according to practical situations, for example: the acidolysis temperature space is 150-180 ℃, wherein the output process parameter space and the output process parameter have a corresponding relation, and a plurality of output process parameter spaces are generated.
And randomly selecting a first output process parameter from the plurality of output process parameter spaces as a first output process parameter, wherein the first output process parameter is a set formed by any one of the plurality of output process parameter spaces, and comprises a first sulfuric acid concentration, a first titanium ore component, a first acidolysis temperature, a first neutralization lime component, and a plurality of first output process parameters are randomly generated by the same method and are different from each other.
And building a simulation production twin model for preparing titanium pigment and producing titanium gypsum based on a digital twin technology and a visual simulation platform, sequentially inputting the plurality of first production process parameters into the simulation production twin model for carrying out a simulation production test of titanium pigment and titanium gypsum, obtaining a quality parameter set of the titanium pigment and an impurity element content set in the titanium gypsum based on a simulation production test result, and then carrying out production fitness calculation on the quality parameter set and the impurity element content set according to the production optimization function to obtain a plurality of first production fitness. And arranging the first output fitness values according to the sequence from large to small to generate a first output fitness sequence, marking first output process parameters corresponding to the first P first output fitness values in the first output fitness sequence as first output process parameters, marking the first output process parameters corresponding to the last Q first output fitness values as last first output process parameters, and obtaining P first output process parameters and Q last first output process parameters, wherein P and Q are integers greater than 1, and Q is far greater than P, and the values of P and Q can be set according to practical conditions by a person skilled in the art.
And then, calculating the response quantity of the first output process parameters according to the first output fitness of the P first output process parameters, firstly, calculating the ratio of the first output fitness of the P first output process parameters to the sum of the P first output fitness in sequence, multiplying the ratio by Q, and rounding to generate the response quantity corresponding to the first output process parameters, wherein the larger the first output fitness of the first output process parameters is, the larger the corresponding response quantity is, and the P response quantities are generated. And then, carrying out response classification on the Q tail first output process parameters according to the P response numbers, firstly, sequentially calculating the process parameter deviation of the P head first output process parameters and the Q tail first output process parameters, then clustering the Q tail first output process parameters into the P head first output process parameters with the minimum process parameter deviation, when the number of the Q tail first output process parameters in the P head first output process parameter clusters is equal to the corresponding response number, not clustering the clusters, and continuously clustering clusters with insufficient number of the tail first output process parameters in the clusters until the number of the P clusters respectively meets the P response numbers, and completing the response classification to generate the P output process parameter clusters.
In the P output process parameter clusters, updating and optimizing the output process parameters until the optimization convergence condition is met;
in the embodiment of the present application, in the P output process parameter clusters, updating and optimizing the output process parameters, setting an optimization convergence condition, stopping optimizing until the current optimizing times meet the optimization convergence condition, and outputting the optimized output process parameters.
In one embodiment, the method further comprises:
randomly updating the tail first output process parameters in P output process parameter clusters to obtain Q tail second output process parameters;
based on the Q second output process parameters, performing a simulation production test of titanium pigment and titanium gypsum, and calculating to obtain Q second output fitness;
respectively judging whether the Q second output fitness is larger than the output fitness of the first output technological parameter in the corresponding output technological parameter cluster, if so, replacing and updating the first output technological parameter, and if not, not updating the first output technological parameter;
and continuing to update and optimize the output process parameters in the updated P output process parameter clusters until the optimization convergence condition is met, wherein the optimization convergence condition comprises the condition that the update and optimization times reach a preset time threshold.
In the embodiment of the application, first, randomly updating tail first output process parameters in the P output process parameter clusters to generate Q tail second output process parameters; and inputting the Q tail second output process parameters into the simulation production twin model for simulation production, generating Q simulation experiment results, and calculating the output fitness of the Q simulation experiment results according to the output optimization function to obtain Q tail second output fitness. Then judging whether the Q tail second output fitness is larger than the output fitness of the first output technological parameter in the corresponding output technological parameter cluster or not respectively, if so, replacing and updating the output technological parameter corresponding to the largest output fitness in the Q tail second output fitness into the first output technological parameter in the corresponding cluster; if not, the first output process parameters in the cluster are not updated. And then, continuing to perform iterative updating optimization of the output process parameters in the updated P output process parameter clusters, and setting an optimization convergence condition, wherein the optimization convergence condition comprises the updating optimization times reaching a preset time threshold, and the preset time threshold can be set by a person skilled in the art in a self-defining way based on actual conditions, such as: setting a preset frequency threshold value as the updating and optimizing frequency for 1000 times, and stopping optimizing until the current updating and optimizing frequency is equal to the preset frequency threshold value, indicating that the current optimizing meets the optimizing convergence condition, and outputting P converged output process parameter clusters.
And selecting the output process parameter with the largest output fitness from the P converged output process parameter clusters to obtain the optimized output process parameter.
In this embodiment of the present application, output fitness calculation is sequentially performed on the output process parameters in the P output process parameter clusters after convergence according to the output optimization function, and the output process parameter with the largest output fitness in the P output process parameter clusters is output, so as to obtain the optimized output process parameter. By utilizing the current optimizing algorithm to optimize the production process parameters, compared with the traditional optimizing algorithm, the method has the advantages of high convergence speed and high convergence precision, and can improve the optimizing efficiency and quality of the production process parameters.
Calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium white, analyzing an application cost coefficient of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function for optimizing purification process parameters for purifying titanium gypsum by combining the titanium gypsum quality coefficient and the application cost coefficient;
in the embodiment of the application, first, the production yield requirement of titanium pigment is obtained, wherein in the production process of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method, 6 tons of titanium gypsum is generally produced per 1 ton of titanium pigment produced, and the titanium gypsum yield information is calculated according to the production yield requirement. And then calculating an application cost coefficient of the titanium gypsum application according to the application scene information and the titanium gypsum yield information, wherein the larger the application cost coefficient is, the higher the application cost of the titanium gypsum is represented, and the lower the application value is. And constructing a purification optimization function by combining the titanium gypsum quality coefficient and the application cost coefficient, wherein the purification optimization function is an adaptability function for optimizing the titanium gypsum purification process parameters.
In one embodiment, the method further comprises:
acquiring a sample application scene information set, a sample titanium gypsum yield information set and a sample titanium gypsum application cost coefficient set according to recorded data of titanium gypsum utilization;
training an application cost analysis channel based on the sample application scene information set, the sample titanium gypsum yield information set and the sample titanium gypsum application cost coefficient set;
based on the application cost analysis channel, analyzing and predicting the input application scene information and titanium gypsum yield information to obtain an application cost coefficient;
based on the application cost coefficient and the titanium gypsum quality coefficient, a purification optimization function for optimizing the purification process parameters for purifying the titanium gypsum is constructed, and the purification optimization function is represented by the following formula:
；
wherein pur is the purification fitness,and->Is weight(s)>For the application of the cost factor, M is the cost parameter for purification according to the purification process parameters, +.>The content of the first impurity element after titanium gypsum purification is carried out according to the purification process parameters.
In the embodiment of the application, firstly, historical record data of titanium gypsum utilization is called, and a sample application scene information set, a sample titanium gypsum yield information set and a sample titanium gypsum application cost coefficient set are obtained according to the historical record data, wherein the sample titanium gypsum application cost coefficient can be represented by the ratio of sample titanium gypsum application cost to the average value of a plurality of sample titanium gypsum application costs, the higher the sample titanium gypsum application cost is, the greater the sample titanium gypsum application cost coefficient is, the inversely proportional sample titanium gypsum yield and sample titanium gypsum application cost are, and the higher the titanium gypsum yield is, the lower the application cost is.
And constructing an application cost analysis channel based on the BP neural network, wherein input data of the application cost analysis channel is application scene information and titanium gypsum yield information, and output data is a titanium gypsum application cost coefficient. And then, the sample application scene information set, the sample titanium gypsum output information set and the sample titanium gypsum application cost coefficient set are adopted as sample training data of the application cost analysis channel, and the application cost analysis channel is supervised and trained by using the sample training data by using the same method as that of training the titanium gypsum quality analysis channel, so that the application cost analysis channel with the training completed is obtained. And then inputting the application scene information and the titanium gypsum yield information into a trained application cost analysis channel for application cost coefficient analysis to obtain an application cost coefficient of titanium gypsum.
Constructing a purification optimization function according to the application cost coefficient and the titanium gypsum quality coefficient, wherein the expression of the purification optimization function is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In the purification optimization function, pur is the purification fitness, wherein the larger the purification fitness is, the higher the comprehensive purification value of the titanium gypsum purification process parameter is represented; / >And->Weights of purification quality and application cost, respectively, wherein +.>And->The values of (2) can be set by a person skilled in the art according to the importance degree of the index, wherein the larger the importance degree of the index is, the larger the corresponding weight is, and the weighting can be carried out by the existing variation coefficient method;for the application cost factor; m is a cost parameter for purification according to the purification process parameters; />To purify titanium gypsum according to the purification process parametersThe content of the first impurity element is the content of the second impurity element, wherein the first impurity element is any one of N impurity elements. By constructing the purification optimization function, the comprehensive purification value of the purification process parameters can be accurately and intuitively calculated, and meanwhile, the accuracy and the efficiency of purification fitness calculation can be improved.
Optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters;
in the embodiment of the application, the purification process parameters of the titanium gypsum are optimized based on the purification optimization function, so that the optimized purification process parameters are obtained.
In one embodiment, the method further comprises:
obtaining a purification process parameter space;
and randomly selecting the purification process parameters in the purification process parameter space, calculating the purification fitness of the purification process parameters according to the purification optimization function, and updating and optimizing to obtain the optimized purification process parameters.
In the embodiment of the application, first, obtaining purification process parameters, wherein the purification process parameters can be set by a person skilled in the art according to the adopted purification process, wherein the purification process comprises a wet purification process and a dry purification process, and the wet purification process comprises an extraction method, an acid leaching method, a liquid phase reduction magnetic separation method and the like; the dry purification process comprises an inorganic carbon reduction method, a hydrogen reduction method and the like.
Obtaining purification process parameters based on the purification process, for example: when titanium gypsum is purified by an acid leaching method, the purification process parameters comprise parameters such as solution temperature, solution PH value and the like, then a purification process parameter space is constructed based on the purification process parameters, wherein the purification process parameter space is a range threshold value with adjustable purification process parameters, and can be set by a person skilled in the art according to actual conditions.
And randomly selecting a plurality of first purification process parameters in the purification process parameter space, calculating the purification fitness of the purification process parameters based on the purification optimization function, and optimizing the purification process parameters by using the same optimizing algorithm as that used for obtaining the optimized output process parameters to obtain the optimized purification process parameters. By obtaining optimized purification process parameters, support is provided for the next purification of titanium gypsum.
And carrying out titanium gypsum production based on the optimized output technological parameters and the optimized purification technological parameters.
In this embodiment of the present application, finally, the output control of the titanium gypsum is performed according to the optimized output process parameter, and the purification control of the output titanium gypsum is performed according to the optimized purification process parameter. The method can solve the technical problems of low production quality and low application value of the titanium gypsum caused by high application cost of the titanium gypsum in the conventional titanium gypsum production method, and can improve the adaptation degree of the production quality of the titanium gypsum and an application scene on the premise of not influencing the production quality of titanium pigment, thereby meeting the application quality requirement of the titanium gypsum; meanwhile, on the premise of ensuring the purification quality of the titanium gypsum, the application cost of the titanium gypsum is reduced, and the application value of the titanium gypsum is improved, so that the utilization rate of the titanium gypsum is improved.
In one embodiment, as shown in FIG. 3, there is provided a titanium gypsum production process parameter adjustment optimization system comprising: an information acquisition module 01, a quality analysis module 02, a yield optimization function construction module 03, an optimized yield process parameter acquisition module 04, a purification optimization function construction module 05, a purification process parameter optimization module 06 and a titanium gypsum production module 07, wherein:
The information acquisition module 01 is used for acquiring titanium dioxide quality requirement information for producing titanium dioxide based on a sulfuric acid method and application scene information for utilizing byproduct titanium gypsum;
the quality analysis module 02 is used for carrying out quality analysis of titanium gypsum application according to the application scene information to obtain a titanium gypsum quality coefficient, and carrying out quality analysis of titanium pigment production according to the titanium pigment quality requirement information to obtain a titanium pigment quality coefficient;
the output optimization function construction module 03 is used for combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct an output optimization function for optimizing the output technological parameters of preparing titanium pigment by a sulfuric acid method;
the optimized output process parameter obtaining module 04 is used for optimizing the output process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the output optimizing function to obtain optimized output process parameters, wherein the optimized output process parameters comprise optimized sulfuric acid concentration, optimized titanium ore components, optimized acidolysis temperature and optimized neutralization lime components;
The purification optimization function construction module 05 is used for calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium pigment, analyzing application cost coefficients of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function for optimizing purification process parameters for purifying the titanium gypsum by combining the titanium gypsum quality coefficients and the application cost coefficients;
the purification process parameter optimization module 06, wherein the purification process parameter optimization module 06 is used for optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters;
the titanium gypsum production module 07, the titanium gypsum production module 07 is used for carrying out the production of titanium gypsum based on the optimized output technological parameters and the optimized purification technological parameters.
In one embodiment, the system further comprises:
the quality requirement parameter threshold acquisition module is used for acquiring a quality requirement parameter threshold of the titanium dioxide;
the titanium dioxide quality coefficient calculation module is used for calculating and obtaining the titanium dioxide quality coefficient according to the titanium dioxide quality requirement information and the quality requirement parameter threshold;
The sample application scene set acquisition module is used for carrying out data screening and extraction on the data records of the titanium gypsum production to acquire a sample application scene set;
the sample titanium gypsum quality coefficient set acquisition module is used for acquiring a sample titanium gypsum quality requirement information set according to quality requirements of impurity elements in titanium gypsum in a plurality of sample application scenes, and calculating and acquiring a sample titanium gypsum quality coefficient set by combining the average content of the impurity elements in titanium gypsum;
the titanium gypsum quality analysis channel training module is used for training a titanium gypsum quality analysis channel by adopting the sample titanium gypsum quality requirement information set and the sample titanium gypsum quality coefficient set;
the titanium gypsum quality coefficient obtaining module is used for analyzing the input application scene information based on the titanium gypsum quality analysis channel to obtain the titanium gypsum quality coefficient.
In one embodiment, the system further comprises:
the output optimization function construction module is used for combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct an output optimization function for optimizing the output technological parameters of preparing titanium pigment by a sulfuric acid method, and the output optimization function construction module is used for constructing an output optimization function for optimizing the output technological parameters of preparing titanium pigment by the sulfuric acid method according to the following formula:
；
A function parameter module, wherein, pro is output fitness,and->M is the category number of the quality parameters of the titanium dioxide and is the weight +.>Is the quality coefficient of titanium dioxide>In order to produce the ratio of the ith quality parameter of the obtained titanium white powder and the ith quality parameter requirement information in the titanium white powder quality requirement information according to the output technological parameters, N is the category number of impurity elements in titanium gypsum, and the weight is +>Is titanium gypsum mass coefficient%>The content of the j-th impurity element in the titanium gypsum is produced according to the production process parameters.
In one embodiment, the system further comprises:
the output process parameter space acquisition module is used for acquiring an output process parameter space;
the first output process parameter selection module is used for randomly selecting and obtaining a plurality of first output process parameters in the output process parameter space;
the first output fitness calculation module is used for carrying out a simulation production test of titanium pigment and titanium gypsum according to the first output process parameters, obtaining a quality parameter set of the produced titanium pigment and an impurity element content set in the titanium gypsum, and calculating to obtain a plurality of first output fitness by combining the output optimization function;
The first output process parameter dividing module is used for dividing the plurality of first output process parameters into P first output process parameters and Q tail first output process parameters according to the plurality of first output fitness, wherein P and Q are integers larger than 1;
the output process parameter cluster obtaining module is used for obtaining P response quantities through calculation and distribution according to the first output fitness of the P first output process parameters, and carrying out response classification on the Q tail first output process parameters to obtain P output process parameter clusters;
the output process parameter optimization module is used for updating and optimizing the output process parameters in the P output process parameter clusters until the optimization convergence condition is met;
and the optimized output process parameter obtaining module is used for selecting the output process parameter with the largest output fitness from the converged P output process parameter clusters to obtain the optimized output process parameter.
In one embodiment, the system further comprises:
the tail second output process parameter obtaining module is used for randomly updating the tail first output process parameters in P output process parameter clusters to obtain Q tail second output process parameters;
The tail second output fitness calculation module is used for carrying out simulation production tests of titanium pigment and titanium gypsum based on Q tail second output technological parameters and calculating to obtain Q tail second output fitness;
the tail second output fitness judging module is used for judging whether the Q tail second output fitness is larger than the output fitness of the first output technological parameter in the corresponding output technological parameter cluster or not respectively, if so, the Q tail second output fitness is replaced and updated to be the first output technological parameter, and if not, the Q tail second output fitness is not updated;
and the output process parameter optimization updating module is used for continuing to update and optimize the output process parameters in the updated P output process parameter clusters until an optimization convergence condition is met, wherein the optimization convergence condition comprises that the update optimization times reach a preset time threshold.
In one embodiment, the system further comprises:
the sample information set acquisition module is used for acquiring a sample application scene information set, a sample titanium gypsum yield information set and a sample titanium gypsum application cost coefficient set according to recorded data of titanium gypsum utilization;
The application cost analysis channel training module is used for training an application cost analysis channel based on the sample application scene information set, the sample titanium gypsum yield information set and the sample titanium gypsum application cost coefficient set;
the application cost coefficient obtaining module is used for carrying out analysis and prediction on the input application scene information and the titanium gypsum output information based on the application cost analysis channel to obtain an application cost coefficient;
the purification optimization function construction module is used for constructing a purification optimization function for optimizing purification process parameters for purifying the titanium gypsum based on the application cost coefficient and the titanium gypsum quality coefficient, and the purification optimization function construction module has the following formula:
；
a function parameter module, wherein pur is purification fitness,and->As the weight of the material to be weighed,for the application of the cost factor, M is the cost parameter for purification according to the purification process parameters, +.>The content of the first impurity element after titanium gypsum purification is carried out according to the purification process parameters.
In one embodiment, the system further comprises:
the purification process parameter space acquisition module is used for acquiring a purification process parameter space;
The optimized purification process parameter obtaining module is used for randomly selecting purification process parameters in the purification process parameter space, calculating the purification fitness of the purification process parameters according to the purification optimization function, and updating and optimizing to obtain the optimized purification process parameters.
In summary, compared with the prior art, the embodiments of the present disclosure have the following technical effects:
(1) The optimization algorithm is utilized to generate the optimized production process parameters and the optimized purification process parameters, so that the adaptation degree of the production quality and the application scene of the titanium gypsum can be improved on the premise of not influencing the production quality of the titanium pigment, and the application quality requirement of the titanium gypsum is met; meanwhile, on the premise of ensuring the purification quality of the titanium gypsum, the application cost of the titanium gypsum is reduced, and the application value of the titanium gypsum is improved, so that the utilization rate of the titanium gypsum is improved.
(2) By constructing the output optimization function, the comprehensive value of the output process parameters can be accurately and intuitively represented, meanwhile, the accuracy and the efficiency of the comprehensive value calculation can be improved, and support is provided for optimizing the output process parameters.
(3) By utilizing the current optimizing algorithm to optimize the production process parameters, compared with the traditional optimizing algorithm, the method has the advantages of high convergence speed and high convergence precision, and can improve the optimizing efficiency and quality of the production process parameters.
The above examples merely represent a few embodiments of the present disclosure and are not to be construed as limiting the scope of the invention. Accordingly, various alterations, modifications and variations may be made by those having ordinary skill in the art without departing from the scope of the disclosed concept as defined by the following claims and all such alterations, modifications and variations are intended to be included within the scope of the present disclosure.
Claims (8)
1. The method for adjusting and optimizing the technological parameters of titanium gypsum production is characterized by comprising the following steps:
acquiring titanium dioxide quality requirement information for producing titanium dioxide based on a sulfuric acid method and application scene information for utilizing byproduct titanium gypsum;
according to the application scene information, performing quality analysis of titanium gypsum application to obtain a titanium gypsum quality coefficient, and according to the titanium pigment quality requirement information, performing quality analysis of titanium pigment production to obtain a titanium pigment quality coefficient;
combining the titanium gypsum quality coefficient and the titanium pigment quality coefficient to construct a yield optimization function for optimizing yield technological parameters of preparing titanium pigment by a sulfuric acid method;
optimizing the yield process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the yield optimization function to obtain optimized yield process parameters, wherein the optimized yield process parameters comprise optimized sulfuric acid concentration, optimized titanium ore component, optimized acidolysis temperature and optimized neutral lime component;
Calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium white, analyzing an application cost coefficient of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function for optimizing purification process parameters for purifying titanium gypsum by combining the titanium gypsum quality coefficient and the application cost coefficient;
optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters;
and carrying out titanium gypsum production based on the optimized output technological parameters and the optimized purification technological parameters.
2. The method according to claim 1, characterized in that the method comprises:
acquiring a quality requirement parameter threshold of the titanium dioxide;
calculating to obtain the quality coefficient of the titanium dioxide according to the quality requirement information of the titanium dioxide and the quality requirement parameter threshold;
carrying out data screening and extraction on the data records produced by the titanium gypsum to obtain a sample application scene set;
according to the quality requirements of impurity elements in titanium gypsum in a plurality of sample application scenes, a sample titanium gypsum quality requirement information set is obtained, and a sample titanium gypsum quality coefficient set is calculated and obtained by combining the average content of the impurity elements in the titanium gypsum;
Training a titanium gypsum quality analysis channel by adopting the sample titanium gypsum quality requirement information set and the sample titanium gypsum quality coefficient set;
and analyzing the input application scene information based on the titanium gypsum mass analysis channel to obtain a titanium gypsum mass coefficient.
3. The method according to claim 1, characterized in that the method comprises:
and constructing a yield optimization function for optimizing yield technological parameters of preparing titanium dioxide by a sulfuric acid method by combining the titanium gypsum quality coefficient and the titanium dioxide quality coefficient, wherein the yield optimization function comprises the following formula:
；
wherein pro is the yield fitness,and->M is the category number of the quality parameters of the titanium dioxide and is the weight +.>Is the quality coefficient of titanium dioxide>In order to produce the ratio of the ith quality parameter of the obtained titanium white powder and the ith quality parameter requirement information in the titanium white powder quality requirement information according to the output technological parameters, N is the category number of impurity elements in titanium gypsum, and the weight is +>Is titanium gypsum mass coefficient%>The content of the j-th impurity element in the titanium gypsum is produced according to the production process parameters.
4. The method according to claim 1, characterized in that the method comprises:
obtaining a yield process parameter space;
Randomly selecting and obtaining a plurality of first output process parameters in the output process parameter space;
according to the first yield process parameters, performing a simulation production test of titanium pigment and titanium gypsum, obtaining a quality parameter set of the produced titanium pigment and an impurity element content set in the titanium gypsum, and calculating to obtain first yield fitness by combining the yield optimization function;
dividing a plurality of first output process parameters into P first output process parameters and Q tail first output process parameters according to the plurality of first output fitness, wherein P and Q are integers larger than 1;
according to the first output fitness of the P first output process parameters, P response numbers are calculated and distributed, and response classification is carried out on the Q tail first output process parameters to obtain P output process parameter clusters;
in the P output process parameter clusters, updating and optimizing the output process parameters until the optimization convergence condition is met;
and selecting the output process parameter with the largest output fitness from the P converged output process parameter clusters to obtain the optimized output process parameter.
5. The method according to claim 4, characterized in that the method comprises:
Randomly updating the tail first output process parameters in P output process parameter clusters to obtain Q tail second output process parameters;
based on the Q second output process parameters, performing a simulation production test of titanium pigment and titanium gypsum, and calculating to obtain Q second output fitness;
respectively judging whether the Q second output fitness is larger than the output fitness of the first output technological parameter in the corresponding output technological parameter cluster, if so, replacing and updating the first output technological parameter, and if not, not updating the first output technological parameter;
and continuing to update and optimize the output process parameters in the updated P output process parameter clusters until the optimization convergence condition is met, wherein the optimization convergence condition comprises the condition that the update and optimization times reach a preset time threshold.
6. The method according to claim 1, characterized in that the method comprises:
acquiring a sample application scene information set, a sample titanium gypsum yield information set and a sample titanium gypsum application cost coefficient set according to recorded data of titanium gypsum utilization;
training an application cost analysis channel based on the sample application scene information set, the sample titanium gypsum yield information set and the sample titanium gypsum application cost coefficient set;
Based on the application cost analysis channel, analyzing and predicting the input application scene information and titanium gypsum yield information to obtain an application cost coefficient;
based on the application cost coefficient and the titanium gypsum quality coefficient, a purification optimization function for optimizing the purification process parameters for purifying the titanium gypsum is constructed, and the purification optimization function is represented by the following formula:
；
wherein pur is the purification fitness,and->Is weight(s)>For the application of the cost factor, M is the cost parameter for purification according to the purification process parameters, +.>The content of the first impurity element after titanium gypsum purification is carried out according to the purification process parameters.
7. The method according to claim 1, characterized in that the method comprises:
obtaining a purification process parameter space;
and randomly selecting the purification process parameters in the purification process parameter space, calculating the purification fitness of the purification process parameters according to the purification optimization function, and updating and optimizing to obtain the optimized purification process parameters.
8. A titanium gypsum production process parameter adjustment optimization system, characterized by the steps for performing any one of the titanium gypsum production process parameter adjustment optimization methods of claims 1-7, said system comprising:
The information acquisition module is used for acquiring titanium dioxide quality requirement information for producing titanium dioxide based on a sulfuric acid method and application scene information for utilizing byproduct titanium gypsum;
the quality analysis module is used for carrying out quality analysis of titanium gypsum application according to the application scene information to obtain a titanium gypsum quality coefficient, and carrying out quality analysis of titanium pigment production according to the titanium pigment quality requirement information to obtain a titanium pigment quality coefficient;
the output optimization function construction module is used for combining the titanium gypsum quality coefficient and the titanium dioxide quality coefficient to construct an output optimization function for optimizing the output technological parameters of preparing the titanium dioxide by the sulfuric acid method;
the optimized output process parameter obtaining module is used for optimizing the output process parameters of preparing titanium pigment and producing titanium gypsum by a sulfuric acid method based on the output optimizing function to obtain optimized output process parameters, wherein the optimized output process parameters comprise optimized sulfuric acid concentration, optimized titanium ore components, optimized acidolysis temperature and optimized neutral lime components;
The purification optimization function construction module is used for calculating and obtaining titanium gypsum yield information based on the production yield requirement of titanium pigment, analyzing application cost coefficients of titanium gypsum application according to the application scene information and the titanium gypsum yield information, and constructing a purification optimization function for optimizing purification process parameters for purifying the titanium gypsum by combining the titanium gypsum quality coefficients and the application cost coefficients;
the purification process parameter optimization module is used for optimizing the purification process parameters of the titanium gypsum according to the purification optimization function to obtain optimized purification process parameters;
and the titanium gypsum production module is used for producing titanium gypsum based on the optimized output technological parameters and the optimized purification technological parameters.
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| CN116750786A (en) * | 2023-04-25 | 2023-09-15 | 东南大学 | Method for preparing high-purity titanium gypsum based on sulfuric acid process acidic wastewater |
| CN116842768A (en) * | 2023-09-01 | 2023-10-03 | 日照鼎立钢构股份有限公司 | Steel structural member production process optimization method and system |
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| CN105439483A (en) * | 2014-09-26 | 2016-03-30 | 河南佰利联化学股份有限公司 | Method for producing low-water-content white titanium gypsum |
| CN105502980A (en) * | 2014-09-26 | 2016-04-20 | 河南佰利联化学股份有限公司 | Industrial production process for white titanium gypsum with low water content |
| CN111348670A (en) * | 2020-03-13 | 2020-06-30 | 江苏一夫科技股份有限公司 | Method for preparing titanium gypsum from titanium white waste acid |
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| CN116750786A (en) * | 2023-04-25 | 2023-09-15 | 东南大学 | Method for preparing high-purity titanium gypsum based on sulfuric acid process acidic wastewater |
| CN116700172A (en) * | 2023-06-14 | 2023-09-05 | 浙江链捷数字科技有限公司 | Industrial data integrated processing method and system combined with industrial Internet |
| CN116842768A (en) * | 2023-09-01 | 2023-10-03 | 日照鼎立钢构股份有限公司 | Steel structural member production process optimization method and system |
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