Mineral element ultrafine particle acetic acid decomposition extraction method

Abstract

The invention belongs to the technical field of mineral element extraction, and particularly relates to a mineral element ultrafine particle acetic acid decomposition extraction method which comprises the following steps: S1, carrying out big data collection, and collecting acetic acid concentration data adapted to different mineral raw materials; s2, an acetic acid concentration control and regulation system is built, and after the mineral raw materials are recognized, the corresponding acetic acid concentration is matched and executed; s3, mixing the raw materials with a matched acetic acid solution, and extracting the raw materials through the acetic acid solution; s4, heating the solution obtained by extraction to decompose a compound formed by acetic acid and mineral elements; s5, after decomposition, mineral elements and other by-products are separated through a solvent extraction method. According to the method, big data collection is conducted, acetic acid concentration data corresponding to different mineral raw materials are collected, an acetic acid concentration control and regulation system is built, after the mineral raw materials are recognized, the corresponding acetic acid concentration is matched, execution is conducted, manual participation is reduced, and errors are avoided.

Description

Technical Field

[0001] The invention relates to the technical field of mineral element extraction, in particular to a method for extracting ultrafine particles of mineral elements by decomposing them with acetic acid. Background Art

[0002] The method of extracting ultrafine acetic acid decomposition of mineral elements mainly utilizes the chemical properties of acetic acid. By applying high temperature, high pressure or using special solvents to increase the solubility of acetic acid, it makes it easier to react with minerals, thereby achieving the extraction of minerals.

[0003] In the prior art, when ultrafine particles of mineral elements are decomposed and extracted with acetic acid, it is not convenient to automatically match the corresponding concentration of acetic acid according to the type of mineral raw materials, and manual control is prone to errors. Therefore, we propose a method for decomposing and extracting ultrafine particles of mineral elements with acetic acid to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the disadvantages of being inconvenient to automatically match the corresponding concentration of acetic acid according to the type of mineral raw materials and prone to errors in manual control, and to propose a method for extracting ultrafine particles of mineral elements by acetic acid decomposition.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] The method for extracting ultrafine particles of mineral elements by acetic acid decomposition comprises the following steps:

[0007] S1. Collect big data to collect acetic acid concentration data suitable for different mineral raw materials;

[0008] S2. Build an acetic acid concentration control and adjustment system, identify the mineral raw materials, match the corresponding acetic acid concentration, and execute;

[0009] S3, mixing the raw material with a matching acetic acid solution, and extracting the raw material with the acetic acid solution;

[0010] S4, heating the solution obtained by extraction to decompose the compound formed by acetic acid and mineral elements;

[0011] S5. After decomposition, the mineral elements and other by-products are separated using solvent extraction;

[0012] S6. Finally, a reducing agent is added to reduce the mineral element ions to a metal form, and pure mineral elements are obtained by filtering and washing.

[0013] Preferably, in S5, the solvent includes ammonium chloride solution and nitric acid solution.

[0014] Preferably, in S2, the acetic acid concentration control and regulation system comprises:

[0015] A data input module, used to input the mineral raw material name and the corresponding acetic acid concentration data;

[0016] A data recording module, used for recording data input by the data input module;

[0017] The data identification and matching module is used to identify the mineral raw materials actually used, and after identification, the corresponding acetic acid concentration data is matched from the data recording module;

[0018] An execution module, used for extracting and delivering acetic acid of corresponding concentration;

[0019] The concentration monitoring module is used to monitor the concentration of the transported acetic acid.

[0020] Preferably, in S3, in the extraction of the mineral raw material by the acetic acid solution, acetic acid is used as an extractant, and can transfer the solute from one solvent to another solvent by utilizing the different solubilities of the solute in two immiscible solvents.

[0021] Preferably, the data identification and matching module includes a data matching model, and the data matching model is constructed as follows: data collection: collect data related to the task; clean, deduplicate, fill in missing values, and standardize the collected data, including removing missing values ​​or outliers to ensure the integrity and consistency of the data; extract useful features from the original data, including numerical features, category features, and text features. Feature engineering also includes feature selection and feature conversion to ensure that the model can understand the data, divide the data set into a training set, a validation set, and a test set, and select a suitable algorithm according to the nature of the problem. Commonly used algorithms include logistic regression, decision tree, random forest, and neural network; use the training set to train the model and adjust the model parameters to optimize performance; use the test set to evaluate the model performance, and the evaluation indicators include accuracy, recall rate, F1 score, and mean square error. Adjust the hyperparameters of the model according to the test results. Methods include grid search, random search, and Bayesian optimization.

[0022] Preferably, in S3, the concentration of the acetic acid solution is measured, specifically by measuring the infrared spectrum of the acetic acid solution, and calculating the concentration of acetic acid based on the relationship between the infrared spectrum characteristics and the acetic acid concentration.

[0023] Preferably, in S2, the acetic acid concentration control and regulation system includes an acetic acid storage module, which evenly mixes acetic acid with different amounts of water to prepare acetic acid solutions of different concentrations, and easily stores acetic acid of different concentrations in corresponding containers, which are connected to a delivery pump.

[0024] Preferably, in S3, the amount of raw materials is measured, the required amount of acetic acid is calculated based on the amount of raw materials, and the amount of acetic acid used is monitored.

[0025] Compared with the prior art, the advantages of the present invention are:

[0026] The present invention collects big data, collects acetic acid concentration data suitable for different mineral raw materials, builds an acetic acid concentration control and adjustment system, identifies the mineral raw materials, matches the corresponding acetic acid concentration, and executes it, thereby reducing manual participation and avoiding errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The present invention provides a flow chart of the method for extracting ultrafine particles of mineral elements by acetic acid decomposition. DETAILED DESCRIPTION

[0028] The technical solution of this embodiment will be clearly and completely described below in conjunction with the drawings in this embodiment. Obviously, the described embodiment is only a part of this embodiment, rather than all of the embodiments.

[0029] Embodiment 1

[0030] Reference Figure 1 The method for extracting ultrafine particles of mineral elements by acetic acid decomposition comprises the following steps:

[0031] S1. Collect big data to collect acetic acid concentration data suitable for different mineral raw materials;

[0032] S2. Build an acetic acid concentration control and adjustment system, identify the mineral raw materials, match the corresponding acetic acid concentration, and execute;

[0033] S3, mixing the raw material with a matching acetic acid solution, and extracting the raw material with the acetic acid solution;

[0034] S4, heating the solution obtained by extraction to decompose the compound formed by acetic acid and mineral elements;

[0035] S5. After decomposition, the mineral elements and other by-products are separated using solvent extraction;

[0036] S6. Finally, a reducing agent is added to reduce the mineral element ions to a metal form, and pure mineral elements are obtained by filtering and washing.

[0037] In this embodiment, in S5, the solvent includes ammonium chloride solution and nitric acid solution.

[0038] In this embodiment, in S2, the acetic acid concentration control and regulation system includes:

[0039] A data input module, used to input the mineral raw material name and the corresponding acetic acid concentration data;

[0040] A data recording module, used for recording data input by the data input module;

[0041] The data identification and matching module is used to identify the mineral raw materials actually used, and after identification, the corresponding acetic acid concentration data is matched from the data recording module;

[0042] An execution module, used for extracting and delivering acetic acid of corresponding concentration;

[0043] The concentration monitoring module is used to monitor the concentration of the transported acetic acid.

[0044] In this embodiment, in S3, in the extraction of the mineral raw material by the acetic acid solution, acetic acid is used as an extractant, and can transfer the solute from one solvent to another solvent by utilizing the different solubilities of the solute in two immiscible solvents.

[0045] In this embodiment, the data identification and matching module includes a data matching model, and the data matching model is constructed as follows: data collection: collect data related to the task; clean, deduplicate, fill in missing values, and standardize the collected data, including removing missing values ​​or outliers to ensure the integrity and consistency of the data; extract useful features from the original data, including numerical features, category features, and text features. Feature engineering also includes feature selection and feature conversion to ensure that the model can understand the data, divide the data set into a training set, a validation set, and a test set, and select a suitable algorithm according to the nature of the problem. Commonly used algorithms include logistic regression, decision tree, random forest, and neural network; use the training set to train the model and adjust the model parameters to optimize performance; use the test set to evaluate the model performance, and the evaluation indicators include accuracy, recall rate, F1 score, and mean square error. Adjust the hyperparameters of the model according to the test results. Methods include grid search, random search, and Bayesian optimization.

[0046] In this embodiment, in S3, the concentration of the acetic acid solution is measured, specifically: the infrared spectrum of the acetic acid solution is measured, and the concentration of acetic acid is calculated according to the relationship between the infrared spectrum characteristics and the acetic acid concentration.

[0047] In this embodiment, in S2, the acetic acid concentration control and regulation system includes an acetic acid storage module, which evenly mixes acetic acid with different amounts of water to prepare acetic acid solutions of different concentrations, and easily stores acetic acid of different concentrations in corresponding containers, and the containers are connected to a delivery pump.

[0048] In this embodiment, in S3, the amount of raw materials is measured, the required amount of acetic acid is calculated based on the amount of raw materials, and the amount of acetic acid used is monitored.

[0049] Embodiment 2

[0050] The method for extracting ultrafine particles of mineral elements by acetic acid decomposition comprises the following steps:

[0051] S1. Collect big data to collect acetic acid concentration data suitable for different mineral raw materials;

[0052] S2. Build an acetic acid concentration control and adjustment system, identify the mineral raw materials, match the corresponding acetic acid concentration, and execute;

[0053] S3, mixing the raw material with a matching acetic acid solution, extracting the raw material with the acetic acid solution, monitoring the extraction speed, and recording the monitoring data;

[0054] S4, heating the solution obtained by extraction to decompose the compound formed by acetic acid and mineral elements;

[0055] S5. After decomposition, the mineral elements and other by-products are separated using solvent extraction;

[0056] S6. Finally, a reducing agent is added to reduce the mineral element ions to a metal form, and pure mineral elements are obtained by filtering and washing.

[0057] In this embodiment, in S5, the solvent includes ammonium chloride solution and nitric acid solution.

[0058] In this embodiment, in S2, the acetic acid concentration control and regulation system includes:

[0059] A data input module, used to input the mineral raw material name and the corresponding acetic acid concentration data;

[0060] A data recording module, used for recording data input by the data input module;

[0061] The data identification and matching module is used to identify the mineral raw materials actually used, and after identification, the corresponding acetic acid concentration data is matched from the data recording module;

[0062] An execution module, used for extracting and delivering acetic acid of corresponding concentration;

[0063] The concentration monitoring module is used to monitor the concentration of the transported acetic acid.

[0064] In this embodiment, in S3, in the extraction of the mineral raw material by the acetic acid solution, acetic acid is used as an extractant, and can transfer the solute from one solvent to another solvent by utilizing the different solubilities of the solute in two immiscible solvents.

[0065] In this embodiment, the data identification and matching module includes a data matching model, and the data matching model is constructed as follows: data collection: collect data related to the task; clean, deduplicate, fill in missing values, and standardize the collected data, including removing missing values ​​or outliers to ensure the integrity and consistency of the data; extract useful features from the original data, including numerical features, category features, and text features. Feature engineering also includes feature selection and feature conversion to ensure that the model can understand the data, divide the data set into a training set, a validation set, and a test set, and select a suitable algorithm according to the nature of the problem. Commonly used algorithms include logistic regression, decision tree, random forest, and neural network; use the training set to train the model and adjust the model parameters to optimize performance; use the test set to evaluate the model performance, and the evaluation indicators include accuracy, recall rate, F1 score, and mean square error. Adjust the hyperparameters of the model according to the test results. Methods include grid search, random search, and Bayesian optimization.

[0066] In this embodiment, in S3, the concentration of the acetic acid solution is measured, specifically: the infrared spectrum of the acetic acid solution is measured, and the concentration of acetic acid is calculated according to the relationship between the infrared spectrum characteristics and the acetic acid concentration.

[0067] In this embodiment, in S2, the acetic acid concentration control and regulation system includes an acetic acid storage module, which evenly mixes acetic acid with different amounts of water to prepare acetic acid solutions of different concentrations, and easily stores acetic acid of different concentrations in corresponding containers, and the containers are connected to a delivery pump.

[0068] In this embodiment, in S3, the amount of raw materials is measured, the required amount of acetic acid is calculated based on the amount of raw materials, and the amount of acetic acid used is monitored.

[0069] Embodiment 3

[0070] The method for extracting ultrafine particles of mineral elements by acetic acid decomposition comprises the following steps:

[0071] S1. Collect big data to collect acetic acid concentration data suitable for different mineral raw materials;

[0072] S2. Build an acetic acid concentration control and adjustment system, identify the mineral raw materials, match the corresponding acetic acid concentration, and execute;

[0073] S3, mixing the raw material with a matching acetic acid solution, and extracting the raw material with the acetic acid solution;

[0074] S4, heating the solution obtained by extraction to decompose the compound formed by acetic acid and mineral elements;

[0075] S5. After decomposition, the mineral elements and other by-products are separated using solvent extraction;

[0076] S6. Finally, a reducing agent is added to reduce the mineral element ions to a metal form, and pure mineral elements are obtained by filtering and washing.

[0077] In this embodiment, in S5, the solvent includes ammonium chloride solution and nitric acid solution.

[0078] In this embodiment, in S2, the acetic acid concentration control and regulation system includes:

[0079] A data input module, used to input the mineral raw material name and the corresponding acetic acid concentration data;

[0080] A data recording module, used for recording data input by the data input module;

[0081] The data identification and matching module is used to identify the mineral raw materials actually used, and after identification, the corresponding acetic acid concentration data is matched from the data recording module;

[0082] An execution module, used for extracting and delivering acetic acid of corresponding concentration;

[0083] The concentration monitoring module is used to monitor the concentration of the transported acetic acid.

[0084] In this embodiment, in S3, in the extraction of the mineral raw material by the acetic acid solution, acetic acid is used as an extractant, and can transfer the solute from one solvent to another solvent by utilizing the different solubilities of the solute in two immiscible solvents.

[0085] In this embodiment, the data identification and matching module includes a data matching model, and the data matching model is constructed as follows: data collection: collect data related to the task; clean, deduplicate, fill in missing values, and standardize the collected data, including removing missing values ​​or outliers to ensure the integrity and consistency of the data; extract useful features from the original data, including numerical features, category features, and text features. Feature engineering also includes feature selection and feature conversion to ensure that the model can understand the data, divide the data set into a training set, a validation set, and a test set, and select a suitable algorithm according to the nature of the problem. Commonly used algorithms include logistic regression, decision tree, random forest, and neural network; use the training set to train the model and adjust the model parameters to optimize performance; use the test set to evaluate the model performance, and the evaluation indicators include accuracy, recall rate, F1 score, and mean square error. Adjust the hyperparameters of the model according to the test results. Methods include grid search, random search, and Bayesian optimization.

[0086] In this embodiment, in S3, the concentration of the acetic acid solution is measured, specifically: the infrared spectrum of the acetic acid solution is measured, and the concentration of acetic acid is calculated according to the relationship between the infrared spectrum characteristics and the acetic acid concentration.

[0087] In this embodiment, in S2, the acetic acid concentration control and adjustment system includes an acetic acid storage module, which evenly mixes acetic acid with different amounts of water to prepare acetic acid solutions of different concentrations, and easily stores acetic acid of different concentrations in corresponding containers. The container is connected to a delivery pump, and a stirring mechanism is provided in the container to stir the acetic acid through the stirring mechanism.

[0088] In this embodiment, in S3, the amount of raw materials is measured, the required amount of acetic acid is calculated based on the amount of raw materials, and the amount of acetic acid used is monitored.

[0089] The above description is only a preferred specific implementation manner of this embodiment, but the protection scope of this embodiment is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of this embodiment within the technical scope disclosed in this embodiment, and they should be covered by the protection scope of this embodiment.

Claims

1. A method for extracting ultrafine particles of mineral elements by acetic acid decomposition, characterized in that: The following steps are involved: S1. Collect big data to collect acetic acid concentration data suitable for different mineral raw materials; S2. Build an acetic acid concentration control and adjustment system, identify the mineral raw materials, match the corresponding acetic acid concentration, and execute; S3, mixing the raw material with a matching acetic acid solution, and extracting the raw material with the acetic acid solution; S4, heating the solution obtained by extraction to decompose the compound formed by acetic acid and mineral elements; S5. After decomposition, the mineral elements and other by-products are separated using solvent extraction; S6. Finally, a reducing agent is added to reduce the mineral element ions to a metal form, and pure mineral elements are obtained by filtering and washing.

2. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 1, characterized in that: In the above-mentioned S5, the solvent includes ammonium chloride solution and nitric acid solution.

3. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 2, characterized in that: In S2, the acetic acid concentration control and regulation system includes: A data input module, used to input the mineral raw material name and the corresponding acetic acid concentration data; A data recording module, used for recording data input by the data input module; The data identification and matching module is used to identify the mineral raw materials actually used, and after identification, the corresponding acetic acid concentration data is matched from the data recording module; An execution module, used for extracting and delivering acetic acid of corresponding concentration; The concentration monitoring module is used to monitor the concentration of the transported acetic acid.

4. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 3, characterized in that: In S3, in the extraction of the mineral raw material by the acetic acid solution, acetic acid is used as an extractant, and can transfer the solute from one solvent to another solvent by utilizing the different solubilities of the solute in two immiscible solvents.

5. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 4, characterized in that: The data identification and matching module includes a data matching model, and the data matching model is constructed as follows: data collection: collect data related to the task; clean, deduplicate, fill in missing values, and standardize the collected data, including removing missing values ​​or outliers to ensure the integrity and consistency of the data; extract useful features from the original data, including numerical features, category features, and text features. Feature engineering also includes feature selection and feature conversion to ensure that the model can understand the data, divide the data set into a training set, a validation set, and a test set, and select a suitable algorithm according to the nature of the problem. Commonly used algorithms include logistic regression, decision trees, random forests, and neural networks; use the training set to train the model and adjust the model parameters to optimize performance; use the test set to evaluate the model performance, and the evaluation indicators include accuracy, recall rate, F1 score, and mean square error. Adjust the hyperparameters of the model according to the test results. Methods include grid search, random search, and Bayesian optimization.

6. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 5, characterized in that: In S3, the concentration of the acetic acid solution is measured, specifically, the infrared spectrum of the acetic acid solution is measured, and the concentration of the acetic acid is calculated according to the relationship between the infrared spectrum characteristics and the acetic acid concentration.

7. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 6, characterized in that: In S2, the acetic acid concentration control and regulation system includes an acetic acid storage module, which evenly mixes acetic acid with different amounts of water to prepare acetic acid solutions of different concentrations, and easily stores acetic acid of different concentrations in corresponding containers, which are connected to a delivery pump.

8. The method for extracting ultrafine particles of mineral elements by acetic acid decomposition according to claim 7, characterized in that: In S3, the amount of raw materials is measured, the required amount of acetic acid is calculated based on the amount of raw materials, and the amount of acetic acid used is monitored.

Images