A method for rapid cleaning of residual flotation reagents

Abstract

The present application relates to the technical field of floatation reagent cleaning, and particularly relates to a method for quickly cleaning residual floatation reagents, comprising: preparing a sodium hypochlorite solution; applying the sodium hypochlorite solution to an object to be cleaned, so that the sodium hypochlorite solution completely covers a surface to be cleaned of the object to be cleaned and flows on the surface to be cleaned; continuously monitoring the concentration of the sodium hypochlorite during the cleaning process; when the real-time concentration of the sodium hypochlorite is within a preset threshold range and is stable, separating the sodium hypochlorite solution from the object to be cleaned; and using the strong oxidizing property of the sodium hypochlorite to clean the residual floatation reagents, so that organic components are decomposed into small molecules of substances that are easily soluble in water, and meanwhile, auxiliary means are used to speed up the cleaning process.

Description

Technical Field

[0001] This invention relates to the technical field of flotation reagent cleaning, and in particular to a method for rapidly cleaning residual flotation reagents. Background Technology

[0002] Ore flotation is a widely used ore enrichment and separation technology in the mining industry. It utilizes the differences in the physicochemical properties of mineral surfaces, especially the differences in wettability of mineral surfaces, and adds specific flotation reagents to the ore slurry to separate the target mineral from gangue minerals, thereby improving the grade of useful minerals in the ore and providing higher quality raw materials for subsequent smelting and other processing steps.

[0003] However, after the flotation operation is completed, a large amount of flotation reagents are often left on the flotation equipment and the surface of the ore. If the residual flotation reagents are not removed in time, they may have many adverse effects on subsequent production processes, such as affecting the effect of the next batch of flotation and causing environmental pollution. At present, commonly used cleaning agents include the following categories, each of which has significant drawbacks. Ordinary water, as the most basic cleaning agent, can play a certain cleaning role for small amounts of loosely attached chemical residues. However, when faced with stubborn chemicals, or chemical residues in ores with complex structures or pores of ores, the cleaning effect is extremely limited. Acidic and alkaline chemical cleaning agents, such as hydrochloric acid and sodium hydroxide solution, are highly corrosive and pose a serious threat to the safety of operators. Carelessness can lead to accidents such as burns. At the same time, they can corrode cleaning equipment, greatly shorten the service life of the equipment, and increase the maintenance cost of the equipment. Surfactant-based cleaning agents, such as sodium dodecylbenzene sulfonate, have a cleaning effect that is greatly affected by the properties of the ore and the type of reagent. They are not very effective at cleaning residues from certain flotation reagents. Chelating cleaning agents, such as ethylenediaminetetraacetic acid (EDTA), are expensive and have demanding usage conditions. They require precise control of parameters such as pH and temperature; otherwise, the cleaning effect will be greatly reduced. With the development of technology, some complex cleaning technologies have begun to be applied, such as ultrasonic-assisted cleaning and adding specific chemical agents to enhance the cleaning effect. However, these technologies often operate independently and have not formed a complete, efficient cleaning system that can adapt to different situations.

[0004] The information disclosed in this background section is intended only to enhance the understanding of the overall background of the present invention and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0005] To solve the above-mentioned technical problems, the present invention provides a method for rapidly cleaning residual flotation reagents. The method utilizes the strong oxidizing properties of sodium hypochlorite to clean the residual flotation reagents, decomposing the organic components into small-molecule, water-soluble substances. At the same time, auxiliary methods are used to accelerate the cleaning process.

[0006] The present invention provides a method for rapidly cleaning residual flotation reagents, comprising: Prepare a sodium hypochlorite solution; Sodium hypochlorite solution is applied to the object to be cleaned, and the sodium hypochlorite solution completely covers the surface of the object to be cleaned and flows on the surface to be cleaned. During the cleaning process, the concentration of sodium hypochlorite was continuously monitored; When the real-time concentration of sodium hypochlorite is within a preset threshold range and stable, the sodium hypochlorite solution is separated from the object to be cleaned.

[0007] As a preferred embodiment of the present invention, the application method is: spraying onto the surface to be cleaned.

[0008] As a preferred embodiment of the present invention, the method of application is: immersing the object to be cleaned.

[0009] As a preferred embodiment of the present invention, auxiliary means are used to accelerate the cleaning process during soaking; Methods for determining the optimal auxiliary means include: Obtain the recommended concentration of sodium hypochlorite solution; Obtain multiple feasible solutions; Obtain the unit residual amount of residual flotation reagent, and calculate the total amount of residual flotation reagent based on the weight of the object to be cleaned; Calculate the amount of sodium hypochlorite solution to be used based on the recommended concentration and total amount. Obtain the preset cleaning time, and input each feasible scheme, the characteristics of the object to be cleaned, the cleaning time, the characteristics and total amount of residual flotation reagents, the recommended concentration value and usage into the parameter model to obtain the parameters of each feasible scheme; By defining influencing factors and sequentially adjusting feasible solutions and parameters, the optimal auxiliary measures can be obtained.

[0010] As a preferred embodiment of the present invention, the auxiliary means include at least one or more of mechanical stirring, ultrasonic oscillation or blower aeration.

[0011] As a preferred embodiment of the present invention, the method for obtaining the recommended concentration value includes: Based on the process conditions used in the flotation operation of the object to be cleaned, the types of residual flotation reagents of the object to be cleaned are obtained; Obtain the structural characteristics of the object to be cleaned; The structural characteristics and types are input into a pre-built association rule base for matching to obtain a recommended concentration value.

[0012] As a preferred embodiment of the present invention, the factors that generate the feasible embodiment include at least the characteristics of the object to be cleaned and the characteristics of the residual flotation reagent.

[0013] As a preferred embodiment of the present invention, the method for calculating the unit residual amount includes: The process parameters of the flotation operation experienced by the object to be cleaned are collected and input into the unit residual amount prediction model to obtain the unit residual amount.

[0014] As a preferred embodiment of the present invention, the method for constructing the parametric model includes: Collect multiple sets of data, including cleaning time, feasible solutions and parameters, characteristics of the object to be cleaned, characteristics and total amount of residual flotation reagents, recommended concentration values, usage, and actual cleaning effect. Preprocess the data; Choose a machine learning model as the basic architecture of the model; The processed data is used to train the model, and the model's hyperparameters are adjusted based on the changes in loss during the training process. Evaluate the performance of the trained model on unseen data using a separate test set; The model is tuned based on the evaluation results. Tuning methods include adjusting the model architecture, modifying the loss function, and adjusting hyperparameters. The trained model is then deployed to real-world applications to predict and analyze new data.

[0015] As a preferred embodiment of the present invention, the influencing factors include at least cost and / or historical cleaning results.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1) The strong oxidizing property of sodium hypochlorite used in the present invention makes it a powerful weapon for decomposing residual flotation reagents. It can accurately target the organic components in the flotation reagents, such as collectors containing unsaturated bonds, and break down complex macromolecules into small molecules that are easily soluble and have no flotation activity, thereby achieving root removal; the hypochlorous acid produced by hydrolysis, with its small molecules and strong penetrability, can penetrate deep into the junction between the reagent residue and the object to be cleaned, thereby enhancing the reaction effect; 2) This invention starts by obtaining recommended concentration values, accurately anchoring key cleaning conditions, laying a solid foundation for subsequent steps. It comprehensively considers the characteristics of the object to be cleaned and the residual flotation reagents, generating diverse feasible solutions and broadening the selection space. By rigorously calculating the total amount of residual reagents, the solution dosage is rationally planned, meeting cleaning requirements while avoiding resource waste and environmental pollution. The parameter model integrates various key factors, deriving precise parameters for each solution to ensure optimal cleaning results. Finally, by weighing actual influencing factors such as cost and historical cleaning results, the solutions and parameters are sequentially adjusted to find a balance among multiple factors, making the entire cleaning process both efficient and economical. This greatly improves the accuracy and reliability of cleaning solution formulation and effectively ensures the efficient and scientific conduct of cleaning work. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating a method for rapidly cleaning residual flotation reagents according to the present invention; Figure 2 This is a flowchart illustrating the method for determining the optimal auxiliary means. Detailed Implementation

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0020] Secondly, the term "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0021] In some embodiments of the present invention Example

[0022] Reference Figure 1 This embodiment provides a method for rapidly cleaning residual flotation reagents, including: S1 prepares a sodium hypochlorite solution. Sodium hypochlorite possesses strong oxidizing properties, enabling it to undergo redox reactions with numerous organic components in flotation reagents. In mining flotation processes, common flotation reagents, such as flotation collectors containing unsaturated bonds, are precisely broken down by sodium hypochlorite, which breaks down the complex organic macromolecules into smaller molecules. These smaller molecules are not only easily soluble in water but also lose their original flotation activity, fundamentally achieving effective removal of residual reagents and greatly enhancing the depth and thoroughness of the cleaning effect. Simultaneously, sodium hypochlorite hydrolyzes in the solution to generate hypochlorous acid. Hypochlorous acid molecules are small and have strong penetrating power, easily penetrating the residual layer of flotation reagents and reaching the interface between the residual reagents and the surface of the object to be cleaned, further promoting the reaction between the reagents and sodium hypochlorite, thereby significantly improving the cleaning effect. S2 applies a sodium hypochlorite solution to the object to be cleaned, completely covering the surface and allowing the solution to flow across it. This complete coverage ensures that every part of the object is in full contact with the highly oxidizing sodium hypochlorite solution. This allows the sodium hypochlorite in the solution to undergo a comprehensive redox reaction with the residual flotation reagent, improving cleaning efficiency. The flow of the solution further optimizes the cleaning process, continuously updating the interface with the reagent residue, promptly removing small molecule products generated in the reaction, preventing their accumulation and hindering subsequent reactions. At the same time, it continuously brings in new sodium hypochlorite and hypochlorous acid generated by hydrolysis, maintaining a highly efficient reaction environment and making the cleaning effect more thorough. This significantly improves the efficiency and quality of cleaning residual flotation reagents, achieving deep cleaning of various objects. During the S3 cleaning process, the concentration of sodium hypochlorite is continuously monitored; more specifically, the concentration of sodium hypochlorite is measured online in real time using an electrochemical sensor or an optical sensor. S4 When the real-time concentration of sodium hypochlorite is within the preset threshold range and stable, more specifically, the threshold range can be determined experimentally; when the concentration of sodium hypochlorite is within the preset threshold range and stable, since no more flotation reagents participate in the reaction, the concentration of sodium hypochlorite solution no longer changes due to reaction consumption, directly reflecting that the reaction between sodium hypochlorite and flotation reagents in the cleaning system has been completely completed, and the cleaning of residual flotation reagents is finished. Then separate the sodium hypochlorite solution from the object to be cleaned; the separation method is to rinse the object to be cleaned with rinsing water until the pH value of the rinsing water is close to neutral. In the above method, firstly, sodium hypochlorite, due to its strong oxidizing properties, can undergo redox reactions with organic components in flotation reagents, such as flotation collectors containing unsaturated bonds, decomposing complex organic macromolecules into small molecules that are easily soluble in water and lose their flotation activity, thus fundamentally and effectively removing residual reagents. Simultaneously, the hypochlorous acid produced by its hydrolysis can penetrate the residual layer, further improving the cleaning effect. Secondly, completely covering the surface of the object to be cleaned with a sodium hypochlorite solution and allowing it to flow ensures no cleaning dead zones, while the flow continuously renews the reaction interface, carrying away reaction products and introducing new activity. The method ensures efficient reaction by employing specific components and online real-time monitoring of sodium hypochlorite concentration using electrochemical or optical sensors. This allows for precise control of the cleaning process. When the concentration is within a preset threshold range and remains stable, the completeness of the reaction within the cleaning system can be accurately determined. At this point, the solution is separated by rinsing the object to be cleaned with rinsing water until the pH of the rinsing water is close to neutral. This ensures both the cleaning effect and reasonable control over the final state of the cleaning process. The entire method, from the action of the reagents and the cleaning operation to concentration monitoring and termination determination, comprehensively guarantees an efficient, accurate, and thorough cleaning process.

[0023] In some embodiments of the present invention, the application method is: spraying onto the surface to be cleaned. This method is suitable for the object to be cleaned to be equipment. When spraying, it is necessary to completely cover the surface to be cleaned and have sodium hypochlorite solution flowing on the surface to be cleaned. The spraying method can greatly reduce the use of sodium hypochlorite solution. At the same time, the flow mentioned here refers to the fact that a small amount of sodium hypochlorite solution remains on the surface of the equipment to maintain the reactivity.

[0024] In some embodiments of the present invention, the application method is: soaking the object to be cleaned. This method is suitable for the object to be cleaned to be ore. During the soaking process, since the ore is completely surrounded by sodium hypochlorite solution, sodium hypochlorite and hypochlorous acid can penetrate the residual layer of flotation reagent from all directions and penetrate into the bonding part between the flotation reagent and the surface of the ore, which greatly enhances the reaction effect.

[0025] In some embodiments of the present invention, auxiliary means are used to accelerate the cleaning process during soaking; Reference Figure 2 The methods for determining the optimal auxiliary means include: Q1. Obtain the recommended concentration of sodium hypochlorite solution; Q2. Obtain multiple feasible solutions. Here, a feasible solution refers to at least one auxiliary method, without specifying the parameters used in the auxiliary method. Q3. Obtain the unit residual amount of residual flotation reagent, and obtain the total amount of residual flotation reagent based on the weight of the object to be cleaned; Q4. Calculate the amount of sodium hypochlorite solution to be used based on the recommended concentration and total amount. Q5. To obtain the preset cleaning time, input each feasible solution, the characteristics of the object to be cleaned, the cleaning time, the characteristics and total amount of residual flotation reagents, the recommended concentration value and usage amount into the parameter model to obtain the parameters of each feasible solution; among which, the preset cleaning time is obtained according to the production task. Q6 sets influencing factors and sequentially adjusts feasible solutions and parameters to obtain the optimal auxiliary means.

[0026] The method for determining the optimal auxiliary means employed in this invention starts with the recommended concentration of sodium hypochlorite solution, precisely setting key conditions in the cleaning process and laying a solid foundation for subsequent steps. Based on the characteristics of the object to be cleaned and the residual flotation reagent, multiple factors are comprehensively considered to generate several feasible solutions, providing a wealth of options for subsequent screening. By rigorously calculating the total amount of residual reagent, the solution usage is rationally determined, effectively avoiding resource waste and environmental pollution while meeting cleaning requirements. Using a parameter model, various factors are comprehensively analyzed, and precise optimal parameters are derived for each feasible solution based on the best cleaning effect. Finally, by comprehensively weighing actual influencing factors such as cost and equipment wear and tear, the feasible solutions and parameters are sequentially adjusted to achieve an ideal balance among multiple influencing factors, ensuring the efficiency and economy of the entire cleaning process.

[0027] In some embodiments of the present invention, the auxiliary means include at least one or more of mechanical stirring, ultrasonic oscillation, or blower aeration; More specifically, if mechanical stirring is chosen, a stirring device can be installed in the soaking tank. The motor drives the stirring blades to rotate at a certain speed, so that the sodium hypochlorite solution forms a circulating flow in the soaking tank, constantly washing the object to be cleaned and promoting full contact and reaction between the solution and the residual flotation reagent. If ultrasonic oscillation is used, an ultrasonic generator is connected to the soaking tank, and the electrical energy is converted into high-frequency mechanical vibration through an ultrasonic transducer. The generated microbubbles burst in the solution, forming local high pressure and high temperature, which enhances the cleaning effect. If blower aeration is chosen, an aeration head is set at the bottom of the soaking tank to blow air into the solution. The generated bubbles drive the solution to flow, increase the oxygen content of the solution, and enhance the oxidizing capacity of sodium hypochlorite. In addition to the methods mentioned above, the optimal solution also includes temperature control, pulsed electric field treatment, etc. The optimal solution can be a combination of one or more methods, which is determined according to the characteristics of the object to be cleaned and the characteristics of the residual flotation reagent.

[0028] In some embodiments of the present invention, the method for obtaining the recommended concentration value includes: Based on the process conditions used in the flotation operation of the object to be cleaned, the types of residual flotation reagents of the object to be cleaned are obtained; the process conditions of the flotation operation clarify the reagent addition process, and different ore flotation targets correspond to specific reagents, such as xanthates are often added to sulfide ores, and fatty acids are used for oxidized ores, which directly indicates the direction of residual reagents; Obtain the structural characteristics of the object to be cleaned; The structural characteristics and types are input into a pre-built association rule base for matching to obtain recommended concentration values. More specifically, different residual flotation reagents have different chemical structures, stability, and redox potentials, which makes their reaction with sodium hypochlorite easier and the required dosage different. For example, sulfur-containing collectors are relatively reactive and may require higher concentrations of sodium hypochlorite for complete oxidation and decomposition. Regarding the structural characteristics of the object to be cleaned, if the porosity is high and the specific surface area is large, the sodium hypochlorite solution can easily penetrate, and a low concentration may be sufficient for cleaning. If the structure is dense, the reagent residue is difficult to access inside, and only by increasing the sodium hypochlorite concentration to enhance its penetration and reaction capacity can the residual reagent be effectively removed. Therefore, both factors jointly determine the recommended sodium hypochlorite concentration value to ensure cleaning effect and avoid over-cleaning.

[0029] More specifically, the methods for constructing an association rule base include: Data was collected from actual operational scenarios and laboratory experiments. The data included the types of residual flotation reagents, the structural characteristics of the objects to be cleaned, and the corresponding sodium hypochlorite solution concentration. The collected data was labeled and classified. Clean abnormal data, standardize the data format, unify the coding system for residual flotation reagents and the units for the structural characteristic data of the object to be cleaned; Data mining algorithms were used to analyze the preprocessed data, and minimum support and minimum confidence were set to mine the correlation rules between the types of residual flotation reagents, the structural characteristics of the object to be cleaned, and the concentration of sodium hypochlorite solution. The discovered association rules are organized and entered into the association rule library, presented in tabular form, and the support and confidence of the rules are recorded. At the same time, an index is created for the types of residual flotation reagents and the structural characteristics of the objects to be cleaned, and a query mechanism is established. The association rule base is validated using new data, and metrics such as accuracy and recall are calculated. The rule base is dynamically updated based on the validation results, low-performance rules are re-evaluated and adjusted, and newly mined rules are added. After the association rule base is built, the collected structural characteristics of the objects to be cleaned and the types of residual suspended agents are input into the association rule base, and the association rule base outputs the recommended value of sodium hypochlorite concentration that matches it.

[0030] In some embodiments of the present invention, the factors that generate a feasible solution include at least the characteristics of the object to be cleaned and the characteristics of the residual flotation reagent; The characteristics of the object to be cleaned, such as material, shape, structure, and surface roughness, will affect the choice of auxiliary methods. For example, for objects with complex structures and small pores, ultrasonic oscillation may be more conducive to the agent penetrating into the pores for cleaning. The characteristics of residual flotation reagents, including chemical composition, solubility, viscosity, and adhesion, determine the ease of cleaning and the appropriate cleaning mechanism. For example, for reagents with high viscosity, aeration can help reduce their viscosity through airflow disturbance, thus facilitating cleaning. For reagents with poor solubility, ultrasonic oscillation can enhance the solvent's dissolution effect through cavitation. Therefore, comprehensively considering the characteristics of the object to be cleaned and the characteristics of residual flotation reagents can provide a basis for selecting appropriate cleaning auxiliary methods (such as mechanical stirring, ultrasonic oscillation, or aeration) to achieve efficient and non-destructive cleaning results. In addition to the factors mentioned above, other factors that contribute to the formation of the product include the cleaning environment, safety, and environmental protection, which will not be discussed further. Once the characteristics of the object to be cleaned and the characteristics of the residual flotation reagents are determined, the determination of feasible solutions mainly relies on expert knowledge and historical experience. With their profound professional expertise accumulated over a long period of time in this field, experts are thoroughly familiar with the material and structural characteristics of various objects to be cleaned, as well as the chemical properties and adhesion characteristics of the residual flotation reagents. Based on these characteristics, they can quickly determine which cleaning auxiliary means is more suitable, such as mechanical stirring, ultrasonic oscillation, or aeration. At the same time, a large amount of historical practice data records the cleaning solutions adopted under different combinations of characteristics and their effect feedback.

[0031] In some embodiments of the present invention, the method for calculating the unit residual amount includes: The process parameters of the flotation operation experienced by the object to be cleaned are collected and input into the unit residue prediction model to obtain the unit residue. More specifically, the unit residue prediction model can use common machine learning models, such as neural network models. First, the model framework is constructed, and the number of nodes in the input layer, hidden layer, and output layer is determined. The input layer nodes correspond to various collected process parameters, the hidden layer learns the complex relationships between parameters through training, and the output layer outputs the predicted unit residue. The model is trained using a large amount of existing flotation process parameter data and corresponding actual unit residue data. During the training process, the model's weights and biases are continuously adjusted to make the model's prediction results as close as possible to the actual values. After training, the collected flotation process parameters of the object to be cleaned are input into the model to obtain the unit residue. The above method is used to calculate the unit residue. By leveraging the powerful learning and analysis capabilities of machine learning models, a large amount of historical data is studied to uncover the complex intrinsic relationship between flotation process parameters and unit residue. The comprehensive collection of process parameters provides rich information for the model. Adjustments to weights and biases during training can improve prediction accuracy. Compared with traditional methods, it is more accurate and efficient, effectively reducing human estimation errors and providing a reliable basis for the formulation of subsequent cleaning plans, thus strongly ensuring the scientific and efficient conduct of cleaning work.

[0032] In some embodiments of the present invention, the method for constructing a parametric model includes: Collect multiple sets of data, including cleaning time, feasible solutions and parameters, characteristics of the object to be cleaned, characteristics and total amount of residual flotation reagents, recommended concentration values, usage, and actual cleaning effect. More specifically, during the data collection phase, the cleaning time was meticulously recorded, down to the minute, for different cleaning examples through on-site observation and experimental documentation. Feasible solutions were comprehensively reviewed, including parameters such as the rotation speed of mechanical agitation and the frequency of ultrasonic oscillation. Professional testing equipment was used to accurately determine the characteristics of the object to be cleaned, such as the hardness and porosity of the ore. The characteristics and total amount of residual flotation reagents were analyzed, and chemical analysis was used to determine the reagent composition and residual amount. Recommended concentration values ​​were obtained based on past experience and experimental summaries, and the amount of sodium hypochlorite solution to be used was calculated. The actual cleaning effect was accurately recorded, including the degree of reagent residue after cleaning. Preprocess the data; more specifically, denoise the collected data and remove obviously erroneous or abnormal data points; fill in missing values, which can be done by using methods such as mean or median; normalize the data to unify data of different magnitudes into the same range, which facilitates model learning. Choose a machine learning model as the basic architecture of the model; more specifically, in terms of model selection, a machine learning model such as a multilayer perceptron (MLP) can be used. When building the model architecture, the input layer is set to correspond to various types of data collected, such as cleaning time, characteristic data of the object to be cleaned, and characteristic data of residual flotation reagents, etc., as input nodes. Several hidden layers are set in the middle. Through training, the hidden layers can automatically learn the complex nonlinear relationship between the input data. The output layer is set to output the specific parameters of each feasible solution, such as the optimal speed range of mechanical stirring, the appropriate power value of ultrasonic oscillation, etc. The processed data is used to train the model, and the model's hyperparameters are adjusted according to the changes in loss during training. More specifically, the preprocessed data is input into the multilayer perceptron model, and the error between the parameters of the feasible solution predicted by the model and the parameters of the effective solution in actual cleaning is used as the loss function. During training, optimization algorithms such as stochastic gradient descent are used to continuously adjust the model's hyperparameters, such as the number of hidden layers, the number of neurons in each layer, and the learning rate, according to the changes in loss. Evaluate the performance of the trained model on unseen data using a separate test set; The model is tuned based on the evaluation results. Tuning methods include adjusting the model architecture, modifying the loss function, and adjusting hyperparameters. The trained model is deployed to real-world applications to predict and analyze new data. In the above method, the model is trained and optimized based on a large amount of comprehensive cleaning-related data, which can accurately uncover the complex internal relationships between various factors. Through multi-step collaborative optimization, it can quickly and accurately output the specific parameters of feasible solutions based on the input data of new cleaning scenarios. This avoids the subjectivity and limitations of human experience judgment, reduces the time and cost of repeated experiments, improves the efficiency and scientific nature of cleaning solution formulation, and enables operators to quickly obtain the most suitable cleaning solution parameters, effectively improving the cleaning effect of residual flotation reagents and overall work efficiency.

[0033] In some embodiments of the present invention, influencing factors include at least cost and / or historical cleaning results; In terms of cost, a detailed analysis of the various costs involved in each feasible solution and its parameters is necessary. Different auxiliary methods, such as mechanical stirring, ultrasonic oscillation, or aeration, have different equipment purchase, operation, and maintenance costs. For example, the power of mechanical stirring equipment will affect energy consumption costs; although high-power equipment may clean faster, it also consumes more energy. The service life and maintenance frequency of ultrasonic oscillation equipment will affect long-term costs. At the same time, labor costs must also be considered, as different solutions may require different numbers and skill levels of operators, all of which will be reflected in the cost. To evaluate the feasibility of historical cleaning methods, a comprehensive database of historical cleaning results should be established. This database should record in detail the feasible methods used in each cleaning operation, the corresponding parameters, and the final cleaning effect. The cleaning effect can be measured by indicators such as the removal rate of residual flotation reagents and the change in the quality of the object to be cleaned after cleaning. When a new cleaning task arises, similar historical cases should be identified from the database based on the characteristics of the object to be cleaned and the characteristics of the residual flotation reagents. The cleaning effects of different feasible methods and parameters in these cases should be analyzed to summarize which parameter combinations achieve better cleaning results and which have shortcomings. In addition to the factors mentioned above, other influencing factors include safety risks, environmental protection, and equipment performance. By combining the two influencing factors of cost and historical cleaning effect, the feasible solutions and parameters are sequentially adjusted as follows: After calculating the cost of each feasible solution and parameter and considering the historical cleaning effect, each feasible solution and parameter is scored in the above two aspects. In order to distinguish the importance of the above two factors, different weights can be assigned to the above two factors respectively. The comprehensive score of each feasible solution and parameter is calculated according to the following formula, and the solutions are sorted from high to low according to the comprehensive score. The feasible solution and parameters corresponding to the highest comprehensive score are used to accelerate the cleaning process. Overall score = cost score × cost weight + cleaning effect score × cleaning effect weight.

[0034] In some embodiments of the present invention, the method for calculating the amount of sodium hypochlorite solution used includes: Based on the principle of chemical reaction, the stoichiometric ratio of the flotation reagent to sodium hypochlorite was obtained through experiments; Convert the total amount of residual flotation reagent into the amount of substance, and then calculate the amount of sodium hypochlorite required to react with it based on the previously determined reaction ratio. Finally, calculate the mass of sodium hypochlorite theoretically required to completely react with the residual flotation reagent based on the molar mass of sodium hypochlorite. To ensure effective cleaning, a certain percentage is added as a margin based on the previously calculated theoretical sodium hypochlorite dosage, taking into account actual cleaning needs. For example, 10% is added to the theoretical dosage to determine the total amount of sodium hypochlorite actually required. Based on the known recommended concentration, and according to the formula that the mass of the solution equals the mass of the solute divided by the mass fraction, the total amount of sodium hypochlorite actually required, determined earlier, is used as the mass of the solute. Substituting this into the formula, the amount of sodium hypochlorite solution to be used is calculated.

[0035] In some embodiments of the present invention, the concentration of the sodium hypochlorite solution is 5-15%. This concentration range ensures that the sodium hypochlorite has sufficient oxidizing activity to effectively react with residual flotation reagents, strongly decompose the reagent components, and achieve efficient cleaning. The lower limit of 5% avoids the problem of poor cleaning effect and significantly prolonged cleaning time due to excessively low concentration. The upper limit of 15% prevents excessive concentration from wasting reagents and increasing costs, while reducing the corrosion risk that high-concentration reagents may bring, thus protecting the equipment and the object to be cleaned, and balancing cleaning effect with economy and safety.

[0036] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for rapidly cleaning residual flotation reagents, characterized in that, include: Prepare a sodium hypochlorite solution; The sodium hypochlorite solution is applied to the object to be cleaned, and the sodium hypochlorite solution completely covers the surface of the object to be cleaned and flows on the surface to be cleaned. During the cleaning process, the concentration of sodium hypochlorite was continuously monitored; When the real-time concentration of sodium hypochlorite is within a preset threshold range and stable, the sodium hypochlorite solution is separated from the object to be cleaned; The method of application is: soaking the object to be cleaned; During soaking, auxiliary methods are used to accelerate the cleaning process; The method for determining the optimal auxiliary means includes: Obtain the recommended concentration of sodium hypochlorite solution; Obtain multiple feasible solutions; Obtain the unit residual amount of the residual flotation reagent, and obtain the total amount of residual flotation reagent based on the weight of the object to be cleaned; Based on the recommended concentration and the total amount, calculate the amount of sodium hypochlorite solution to be used; Obtain the preset cleaning time, and input each of the feasible solutions, the characteristics of the object to be cleaned, the cleaning time, the characteristics of the residual flotation reagent and the total amount, the recommended concentration value and the usage amount into the parameter model to obtain the parameters of each feasible solution; By setting influencing factors and sequentially adjusting the feasible solutions and parameters, the optimal auxiliary means can be obtained.

2. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The auxiliary means include at least one or more of mechanical stirring, ultrasonic oscillation, or blower aeration.

3. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The method for obtaining the recommended concentration value of sodium hypochlorite solution includes: Based on the process conditions used in the flotation operation of the object to be cleaned, the types of residual flotation reagents of the object to be cleaned are obtained; Obtain the structural characteristics of the object to be cleaned; The structural characteristics and the type are input into a pre-built association rule base for matching to obtain the recommended concentration value.

4. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The factors that generate the feasible solution include at least the characteristics of the object to be cleaned and the characteristics of the residual flotation reagent.

5. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The method for calculating the unit residual amount includes: The process parameters of the flotation operation experienced by the object to be cleaned are collected and input into the unit residual amount prediction model to obtain the unit residual amount.

6. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The method for constructing the parameter model includes: Collect multiple sets of data, including cleaning time, feasible solutions and parameters, characteristics of the object to be cleaned, characteristics and total amount of residual flotation reagents, recommended concentration values, usage, and actual cleaning effect. Preprocess the data; Choose a machine learning model as the basic architecture of the model; The processed data is used to train the model, and the model's hyperparameters are adjusted based on the changes in loss during the training process. Evaluate the performance of the trained model on unseen data using a separate test set; The model is tuned based on the evaluation results. Tuning methods include adjusting the model architecture, modifying the loss function, and adjusting hyperparameters. The trained model is then deployed to real-world applications to predict and analyze new data.

7. The method for rapidly cleaning residual flotation reagents as described in claim 1, characterized in that, The influencing factors include at least cost and / or historical cleaning effectiveness.

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