Copper salt chlorine removal cycle process for a zinc hydrometallurgy production line

Abstract

This application relates to the field of hydrometallurgical zinc refining technology, specifically to a copper salt dechlorination recycling process for a hydrometallurgical zinc refining production line. In this process, after the zinc oxide raw material is neutrally leached to obtain a secondary leaching solution, chloride ion removal and copper salt recycling are achieved through a cyclic treatment process of "dechlorination-acid washing-alkali washing-rinsing-regeneration-copper precipitation-oxidation-copper leaching". Furthermore, an automated control system is added to the recycling process. Through real-time data acquisition and dynamic analysis of control deviations, the proportional parameters of the PI controller in the copper salt dechlorination recycling process of the secondary leaching solution are adjusted to improve the stability of dechlorination effect for different batches.

Description

Technical Field

[0001] This application relates to the field of hydrometallurgical zinc refining technology, specifically to a copper salt dechlorination recycling process for a hydrometallurgical zinc refining production line. Background Technology

[0002] In the hydrometallurgical zinc smelting process, chlorine from the raw materials enters the zinc sulfate solution during leaching. A chloride ion concentration of 1-1.5 g / L in the zinc sulfate solution corrodes the anode plates in the electrolysis process, affecting core production stages such as purification and electrolysis. During production, the chloride ion concentration in the electrolyte must be less than 300 mg / L. Therefore, dechlorination treatment during hydrometallurgical zinc smelting is crucial for ensuring stable production line operation. It reduces the corrosion of equipment caused by excessive chloride ion content and guarantees quality and production stability. Currently, automated control equipment is typically used in conjunction with hydrometallurgical processes to further ensure stability and efficiency. Real-time monitoring and rapid response control improve production line efficiency.

[0003] However, in the current hydrometallurgical zinc smelting process, traditional methods such as silver sulfate precipitation, lime-aluminum salt method, ion exchange resin adsorption, and cuprous salt dechlorination suffer from high costs, poor treatment efficiency, and significant losses. For example, in the cuprous salt dechlorination method, copper powder has low activity and is easily coated by cuprous chloride precipitate, resulting in high copper powder consumption, high costs, and unsatisfactory dechlorination effects. Therefore, traditional methods cannot achieve efficient and stable dechlorination in hydrometallurgical zinc smelting production lines. Furthermore, the aforementioned methods, when combined with automated production equipment for dechlorination stability control, do not fully consider the stability deviations between different processing steps in the actual production cycle. This leads to significant stability differences in actual production, making it difficult to effectively control the stability of the actual cyclic processing process. Consequently, this affects the stability of different batches produced in the hydrometallurgical zinc smelting production line, reducing the production quality of hydrometallurgical zinc. Summary of the Invention

[0004] In view of the above, it is necessary to provide a copper salt dechlorination recycling process for a wet zinc smelting production line to solve the above problems.

[0005] One embodiment of this application provides a copper salt dechlorination recycling process for a hydrometallurgical zinc smelting production line. The process includes: after neutral leaching of the zinc oxide raw material in the hydrometallurgical zinc smelting production line to obtain a secondary leaching solution, chloride ion removal and copper salt recycling are achieved through a cyclic treatment process of "dechlorination-acid washing-alkali washing-rinsing-regeneration-copper precipitation-oxidation-copper leaching." Furthermore, during the recycling process: Each batch of intermediate leaching solution is used as a group for each type of control data collected at each step in the copper salt dechlorination cycle process, and all groups of data for each batch are numbered in a fixed order. Analyze the deviation of each set of data from the target value at each acquisition time, and based on the distribution characteristics of local deviations, divide the sequence composed of each set of data into several subsequences; Based on the distribution characteristics of the disorder of elements in all subsequences, and combined with the dispersion of all deviations obtained from each set of data, the comprehensive feature value corresponding to each set of data is determined. All batches are classified based on the distance distribution characteristics between the comprehensive feature values ​​corresponding to all groups of data in different batches. Analyze the comprehensive characteristic values ​​and overall distribution of deviations corresponding to all batch group numbers in each category, and adjust the proportional parameters of the PI controller in the copper salt dechlorination cycle process for the next batch of intermediate leaching solution. The PI controller is used to control the control data of each type in each step of the copper salt dechlorination cycle process.

[0006] Preferably, the specific process of dechlorination is as follows: the pH of the intermediate leaching solution is adjusted to 3.0~4.0, and a dechlorinating agent is added and stirred until the chloride ion concentration in the dechlorinated liquid is less than 0.3g / L, and the solution and dechlorinated residue are obtained by filtration.

[0007] Preferably, the specific operation of the pickling is as follows: the dechlorinated slag obtained after dechlorination treatment is subjected to pulping treatment, the liquid-solid ratio is controlled at 3~5:1 during the pulping treatment, the pH is adjusted to 3.0~4.0 with industrial sulfuric acid, the reaction temperature is 40~50℃, the reaction time is 30~45min, and after the reaction is completed, the dechlorinated slag and pickling solution are obtained by filtration, and the pickling solution contains zinc >80g / L; The specific operation of the alkaline washing is as follows: the dechlorinated sludge obtained after acid washing is slurried with industrial water and then transported to the alkaline washing tank. During the slurrying process, the liquid-solid ratio is controlled at 3~5:1, the reaction temperature is 50~70℃, the pH is adjusted to 9~11 using caustic soda flakes, the reaction time is 60~90min, and the alkaline washing water and dechlorinating agent are obtained by filtration. The specific rinsing process is as follows: the dechlorinating agent after alkaline washing is rinsed with industrial water. During the rinsing process, the liquid-solid ratio is controlled at 3~5:1. The mixture is stirred and reacted at room temperature for 20~30 minutes, and then filtered to obtain the dechlorinating agent and rinsing water.

[0008] Preferably, the regeneration process includes: In the repeated process of "dechlorination-acid washing-alkali washing-rinsing", if the mass ratio of copper to chlorine in the leaching solution exceeds 10 during the dechlorination process, the dechlorinated slag obtained after acid washing is the ineffective dechlorinated slag. The ineffective dechlorinated slag is dissolved in industrial brine containing 80~120g / L of chloride ions, the liquid-solid ratio is controlled at 3~5:1, the pH value is adjusted to 3.0~4.0, and then copper sulfate pentahydrate or copper leaching solution is added. The amount of divalent copper ions added is 1.3~1.5 times the chloride ion content in the industrial brine. The reaction temperature is controlled at 50~70℃, and the reaction is stirred for 60~90min before filtration to obtain low-chlorine brine and regenerated cuprous chloride slag.

[0009] Preferably, the copper plating process specifically includes: The dechlorinated solution is transferred to a copper precipitation tank, stirred, and iron powder is slowly added. The amount of iron powder is 0.7 to 0.8 times the amount of copper ions. The reaction temperature is 40 to 50°C, and the reaction time is 30 to 45 minutes. The copper ion concentration is <0.1 g / L. The solution and copper slag are obtained by filtration.

[0010] Preferably, the oxidation process specifically involves: oxidizing the copper slag obtained after copper plating by piling it up for more than 20 days, wherein the thickness of the slag pile is less than 30cm.

[0011] Preferably, the specific process of copper leaching is as follows: the oxidized copper slag is placed in dilute sulfuric acid, wherein the liquid-to-solid ratio is controlled at 3~5:1, the reaction temperature is 75~85℃, the concentration of dilute sulfuric acid is 120~150g / L, the reaction is stirred for 120~180min, the copper leaching solution and copper leaching slag are obtained by filtration, and the copper leaching slag is returned to continue oxidation and stockpiling treatment.

[0012] Preferably, the specific process of dividing the sequence composed of each group of data into several subsequences is as follows: The sequence of deviations of each data set at all acquisition times is segmented to obtain the deviation subsequence; The proportion of the element dispersion of each deviation subsequence in all deviation subsequences is used as the weight of the number of elements in the corresponding deviation subsequence. The weighted sum of the number of elements in all deviation subsequences of each data group is then obtained to obtain the characteristic coefficient of the cumulative influence of each data group. The rounded-up value of the obtained feature coefficients is used as the length of the subsequence after each data group is divided.

[0013] Preferably, determining the comprehensive feature value corresponding to each group of data specifically involves: The mean of the sample entropy of all elements in the subsequences is used as the comprehensive impact value of each data set. Calculate the dispersion of all deviations obtained for each set of data, and multiply it by the comprehensive influence value to obtain the comprehensive characteristic value corresponding to each set of data.

[0014] Preferably, the specific process for adjusting the proportional parameters of the PI controller in the copper salt dechlorination cycle process for the next batch of intermediate leaching solution is as follows: The vector composed of all the comprehensive feature values ​​obtained in the same batch is taken as the comprehensive feature vector; Calculate the mean of the elements at the same position in all comprehensive feature vectors in each category to obtain the feature values ​​of the corresponding group number data affected by the bias; Calculate the mean of the absolute values ​​of all deviations obtained from the data of the group corresponding to the elements at the same position of all comprehensive feature vectors in each category, and multiply it with the feature value affected by the deviation to obtain the first feature value; The mean of all first feature values ​​obtained from all categories is used as the second feature value, and it is normalized. When the normalization result is greater than the preset value, the difference between the natural number 1 and the normalized second feature value is used as the adjustment parameter in the data acquisition process of the corresponding group number; otherwise, the sum of the natural number 1 and the normalized second feature value is used as the adjustment parameter in the data acquisition process of the corresponding group number. The product of the initial control parameter and the adjustment parameter is used as the proportional parameter of the PI controller in the process of acquiring the corresponding group number data in the next batch.

[0015] This application has at least the following beneficial effects: In hydrometallurgical zinc production, optimizing the copper salt dechlorination cycle is crucial for improving production efficiency and product quality. By collecting and analyzing data from each step in the intermediate leaching solution, a deeper understanding of the impact of each stage on the overall process can be achieved. The following is an analysis of the beneficial effects of each step in this process: Dechlorination: By removing chloride ions, interference with subsequent acid and alkali washing steps can be effectively reduced, chloride ions can be prevented from corroding metal ions, and metal recovery rate can be improved.

[0016] Pickling: This step helps remove impurities from the immersion solution, improving the purity of the copper. By analyzing deviations, pickling time and acid concentration can be optimized to ensure a sufficient reaction without causing excessive corrosion.

[0017] Alkali washing: In this process, adjusting the amount of alkali and the pH value can further remove residual impurities and promote the precipitation of copper salts. Optimal reaction conditions can be found through comprehensive characteristic value analysis of the data.

[0018] Rinsing: The purpose of rinsing is to remove residual chemicals and ensure the effectiveness of subsequent steps. By monitoring deviations, it can be determined whether rinsing is thorough, thereby reducing the burden on the environment.

[0019] Regeneration: The regeneration process is used to recover and reuse chemical reagents. By analyzing the regeneration effects of different batches, regeneration conditions can be optimized, costs reduced, and resource utilization improved.

[0020] Copper precipitation: The copper precipitation process is a key step. Through systematic data analysis, the amount of precipitant and reaction conditions can be optimized to ensure efficient copper precipitation.

[0021] Oxidation: The oxidation step helps to convert copper into a soluble form. By comparing the oxidation effects of different batches, the reaction time and temperature can be adjusted to improve oxidation efficiency.

[0022] Copper leaching: In this final step, the efficiency of copper leaching directly impacts the quality of the final product. By analyzing historical data, leaching conditions can be adjusted to achieve a higher copper recovery rate.

[0023] This application implements a cyclical treatment process using copper slag and copper ions as the core dechlorination medium. This process, involving "dechlorination-acid washing-alkali washing-rinsing-regeneration-copper precipitation-oxidation-copper leaching," achieves both chloride ion removal and copper salt recycling. An automated control system is added to this cyclical process. Through real-time data acquisition and dynamic analysis and adjustment of cumulative deviations in the production line's cyclical treatment, the stability of the actual cyclical treatment process is effectively controlled. Optimizing these steps not only improves the efficiency of the entire hydrometallurgical zinc production line but also reduces chemical consumption and environmental pollution, ultimately achieving both economic and environmental goals. Adjusting the proportional parameters of the PI controller further stabilizes the production process for each batch, ensuring consistent product quality and high production efficiency. Attached Figure Description

[0024] Figure 1 A flowchart of a copper salt dechlorination cycle process for a hydrometallurgical zinc production line is provided in this application; Figure 2 The flowchart below illustrates the specific operation of adjusting the proportional parameters of the PI controller provided in this application. Detailed Implementation

[0025] In the description of the embodiments in this application, the words "exemplary," "or," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary," "or," and "for example" is intended to present the relevant concepts in a specific manner.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this application's specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0027] It should also be noted that the terms "first" and "second" in this application and its accompanying drawings are used to distinguish similar objects, rather than to describe a specific order or sequence. The methods disclosed in the embodiments of this application or the methods shown in the flowcharts include one or more steps for implementing the method. Without departing from the scope of protection of this application, the execution order of multiple steps can be interchanged, and some steps can also be deleted.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0029] The copper salt dechlorination recycling process adopted in this application realizes the removal of chloride ions and the recycling of copper salts through a cyclical treatment process of "dechlorination-acid washing-alkali washing-rinsing-regeneration-copper precipitation-oxidation-copper leaching" using copper slag and copper ions as the core dechlorination media. Furthermore, an automated control system is added to the recycling process to improve the stability of dechlorination effects across different batches through real-time data acquisition, dynamic analysis of control deviations, and dynamic adjustments. The specific copper salt dechlorination recycling process in the hydrometallurgical zinc production line is as follows: Example 1 A copper salt dechlorination recycling process for a hydrometallurgical zinc smelting production line, applied in the field of hydrometallurgical zinc smelting technology, see attached document. Figure 1 The process includes: S1, dechlorination.

[0030] In a hydrometallurgical zinc production line, zinc oxide feedstock undergoes neutral leaching to obtain a secondary leaching solution. 10L of this solution, containing 1.5g / L of chloride, is adjusted to pH 3.0 with sulfuric acid. A dechlorinating agent with a copper content twice that of the chloride is slowly added. The reaction temperature is controlled at 50-60℃ using a PLC control system, while the pH is maintained at 3.0 and the stirring speed is controlled. The reaction time is 60 minutes. After the reaction, a sample is taken to analyze the chloride ion content in the dechlorinated solution. If the chloride ion content is greater than 0.3g / L, another five times the amount of copper dechlorinating agent is added, and the reaction is repeated for 30 minutes. The chloride ion content is then analyzed again. If the chloride ion content is less than 0.3g / L, the solution is directly filtered to obtain the dechlorinated solution and dechlorinated residue. During the dechlorination process, the temperature, pH, and stirring speed are collected in real time by the PLC control system. The collected data is transmitted to the PLC control system, which provides real-time feedback control of the temperature, stirring speed, and pH during the production process.

[0031] S2, pickling.

[0032] The dechlorinated slag obtained after dechlorination treatment is slurried with industrial water and transported to an acid washing tank. The dechlorinated slag is then added to 500ml of clean water, and the pH value is adjusted to 3.0 using industrial sulfuric acid. The reaction temperature is controlled at 40℃ and the reaction time is 30min by a PLC control system. After the reaction is completed, the dechlorinated slag and acid washing solution are obtained by filtration. If the zinc content of the acid washing solution is greater than 80g / L, it is sent to the leaching process; if the zinc content is less than 80g / L, it is returned to the acid washing process. During the acid washing process, the reaction temperature and pH value are collected in real time by the PLC control system, and the temperature and pH value are controlled in real time by the controller based on the collected data.

[0033] S3, alkaline washing.

[0034] The dechlorinated sludge obtained after acid washing is slurried with industrial water and then transported to an alkaline washing tank. The dechlorinated sludge after acid washing is added to clean water, and the liquid-solid ratio is controlled at 5:1. The reaction temperature is controlled at 50℃ by a PLC control system, and the pH value is adjusted and controlled at 11 using caustic soda flakes. The reaction time is 60 minutes. After the reaction is completed, the alkaline washing water and the dechlorinated agent after alkaline washing are obtained by filtration. During the alkaline washing process, the reaction temperature and the pH value of the solution are collected in real time by a PLC control system. Based on the collected data, the temperature and pH value of the reaction process are controlled by a controller.

[0035] S4. Rinse.

[0036] The dechlorinating agent after alkaline washing is added to clean water, with a liquid-to-solid ratio of 5:1. The mixture is stirred and controlled by a PLC system at room temperature for 20 minutes. After the reaction, the mixture is filtered to obtain the dechlorinating agent and rinse water. The rinse water can be used as industrial water in the alkaline washing process, while the dechlorinating agent can be used in the next batch of dechlorination treatment. The rinse water can be returned to the alkaline washing process as industrial water. During the rinsing process, the stirring speed is collected in real time by the PLC control system, and the controller provides feedback control based on the collected data.

[0037] S5, regeneration.

[0038] During the repetition of steps S1 to S4, if the copper-to-chlorine mass ratio in the leaching solution exceeds 10 during step S1, 1L of chlorinated industrial brine is used to slurry the dechlorinated slag, and industrial sulfuric acid is added to adjust the pH to 3.0. Then, copper leaching solution is added, with the amount of divalent copper ions added being 1.5 times the amount of chloride ions in the industrial brine. The reaction temperature is controlled at 60℃ and the stirring speed is controlled by the PLC control system. The stirring reaction time is 60 minutes. After the reaction is completed, the residue is filtered to obtain regenerated cuprous chloride slag and low-chlorine brine. If the copper content in the low-chlorine brine is greater than 0.2g / L, it is returned to the regenerated industrial brine. If the copper content is less than 0.2g / L, the low-chlorine brine is sent to the water treatment system. During the regeneration process, the pH, temperature, and stirring speed are collected in real time by the PLC control system, and the temperature, pH, and stirring speed are fed back and controlled by the controller based on the collected data.

[0039] S6, Plating Copper.

[0040] The dechlorinated solution is transferred to a copper precipitation tank, stirred, and kept at 50°C. Iron powder, 0.8 times the amount of remaining copper, is slowly added. The reaction time is 30 minutes. If the copper ion content is greater than 0.1 g / L after the reaction, iron powder is added as needed based on the remaining copper ions. If the copper ion content is less than 0.1 g / L, the copper precipitation solution and copper slag are directly filtered. The copper precipitation solution is then subjected to alum precipitation treatment. During the copper precipitation process, the temperature and stirring speed are collected in real time by a PLC control system, and the temperature and stirring speed are controlled in the reaction process based on the collected data.

[0041] S7, Oxidation.

[0042] The copper slag obtained after copper plating is piled up for oxidation for more than 20 days, with the thickness of the piled slag being less than 30cm.

[0043] S8, copper immersion.

[0044] Dilute sulfuric acid was used to dissolve copper oxide slag, with a liquid-to-solid ratio of 5:1. The reaction temperature was controlled at 85℃, the concentration of dilute sulfuric acid at 150g / L, and the stirring speed was controlled by a PLC control system. The stirring reaction time was 180min. After the reaction was completed, the copper leaching solution and copper leaching slag were obtained by filtration. The copper leaching slag was returned for further oxidation and stockpiling. During the copper leaching process, the reaction temperature and stirring speed were collected in real time by the PLC control system, and the temperature and stirring speed were fed back and controlled by the controller based on the collected data.

[0045] S9, Copper Salt Dechlorination Cycle Control Optimization.

[0046] This application utilizes a copper salt dechlorination cycle process in a hydrometallurgical zinc production line to achieve metal recovery and reuse during production. It combines this with a PLC control system to monitor and control the parameters of each step in the dechlorination process of each batch of leaching solution in real time. Furthermore, considering the significant differences in interference affecting different batches of production in the copper salt dechlorination cycle process, leading to varying cumulative effects of control deviations at different steps, this application addresses the issue of decreased system responsiveness due to the cumulative impact of control deviations in the hydrometallurgical zinc production cycle. It compares and analyzes the cumulative control deviations in the copper salt dechlorination cycle process within the production line, considering the differences in process parameter control under different cumulative deviations, and optimizes and adjusts the parameters in the copper salt dechlorination cycle process during production to improve the stability of the copper salt dechlorination cycle treatment in the hydrometallurgical zinc production line.

[0047] In the copper salt dechlorination cycle process of the actual production line, data from each batch of leaching solution is collected at each step through a PLC control system. The data collected at each step is used as a set of data for the copper salt dechlorination cycle process. The dataset consisting of all data sets is considered as an analysis sample for optimizing and adjusting the copper salt dechlorination cycle treatment. The purpose is to compare and analyze the cumulative impact deviation under complex interference by combining historical monitoring data of the copper salt dechlorination cycle treatment in the hydrometallurgical zinc production line, and then optimize and adjust the copper salt dechlorination cycle treatment process in the hydrometallurgical zinc production line based on the comparison results. For each analysis sample, the deviation of each data set at each acquisition time is calculated. The deviation refers to the relative error between the actual acquired data and the preset parameters in the production process. It should be noted that each set of data refers to the data collected during the control of one step in the copper salt dechlorination cycle process of a batch of leaching solution, such as the reaction temperature control process during pickling or the stirring speed control process during rinsing. In addition, when numbering the corresponding sets of data of different types in the same step, each set of data in the same step is sorted in the order of temperature, stirring speed, and pH value. Finally, all sets of data are arranged in the time sequence of the process steps. After sorting all the deviation values ​​according to the time sequence of production collection, they are used as input. The Bernaola-Galvan sequence segmentation algorithm is used to divide the deviation sequence composed of the sorted deviation values, and then the change characteristics of each type of data in each step during the monitoring and control process are analyzed. That is, the more significant the change characteristics, the more significant the deviation influence in the control process within the time range of the corresponding data set.

[0048] Furthermore, to accurately determine the characteristics of deviation changes in each step of the actual production process, for each type of data, the dispersion of elements in each deviation subsequence is calculated. The proportion of the dispersion of each deviation subsequence to the total dispersion of all deviation subsequences is used as the characteristic value of each deviation subsequence to reflect the impact of local deviation changes on the overall change. In this embodiment, the dispersion of sequence elements is calculated using variance. The larger the characteristic value, the greater the cumulative deviation impact that the deviation changes in the time range of the corresponding data group may cause.

[0049] Furthermore, based on the cumulative impact characteristics of each step in the production process, the characteristics of the cumulative impact of each set of data are analyzed. Specifically, for each set of data, the product between the number of elements in each deviation subsequence and the corresponding characteristic value is calculated, and the sum of the products of all deviation subsequences is taken as the characteristic coefficient of the cumulative impact of each set of data. The larger the calculated characteristic coefficient, the more significant the cumulative impact characteristics of its control deviation in a larger local range in the actual production process.

[0050] Therefore, to further determine the cumulative impact of deviations in each step of the copper salt dechlorination cycle process in each batch of leaching solution, the characteristics of deviations in production control at each step are analyzed based on the local range of cumulative impact during parameter control in actual production. Then, based on the analysis results, the comprehensive impact characteristics of the copper salt dechlorination cycle process in each batch of leaching solution under the influence of cumulative deviations are extracted. Specifically, the sample entropy of deviation changes at different time periods under the cumulative impact of each data set is first calculated. The formula for the amount of data in the subsequence after uniformly dividing each data set is: Where m represents the number of data points in the subsequence after each data set is uniformly divided. Represents the characteristic coefficients of each data set. This represents the floor function, rounding up from left to right by the number of elements. During the segmentation process, if the final number of data points is less than m, the remaining data is grouped together. This involves comparing and analyzing the cumulative impact characteristics of different local ranges through sequence segmentation, thereby determining the effective local control deviation change response range for each group of data under cumulative influence. Based on this determined range, a comprehensive impact characteristic analysis is performed on the cumulative deviation in the copper salt dechlorination cycle process of each batch of intermediate leaching solution. The sample entropy of each subsequence after segmentation is calculated, where the pattern length is 3, and the similarity threshold is 0.15 to 0.25 times the data standard deviation. The mean of the sample entropy of all subsequences is used as the comprehensive impact value of each batch of intermediate leaching solution under the cumulative deviation in the copper salt dechlorination cycle process. The purpose of the uniformly segmented sample entropy of each group of data calculated based on the above processing is to fully consider the degree of disorder in parameter fluctuations during each step of dechlorination, acid washing, alkali washing, and rinsing, thereby accurately analyzing the cumulative impact intensity of control deviations from beginning to end and their impact on the final dechlorination effect during each batch of processing.

[0051] Based on the above analysis and processing, the variance of all deviation values ​​of each group of data is calculated. The variance reflects the dispersion of the overall deviation value. Then, the product of the variance and the comprehensive influence value of the corresponding data group is calculated, and the product is used as the comprehensive characteristic value of each step in the production process under the influence of cumulative deviation.

[0052] The physical meaning of the comprehensive eigenvalue lies in simultaneously considering the intensity and irregularity of the deviation. In the cyclic process of hydrometallurgical zinc refining, if the control deviation of a certain step has only a large variance but a low sample entropy, it usually corresponds to regular operating condition switching rather than system instability; if only the sample entropy is high but the variance is small, it usually corresponds to measurement noise. Only when the deviation amplitude is large and the change exhibits a highly complex disordered state does it indicate that the step has been significantly affected by the cumulative deviation, leading to a decrease in control response. Therefore, this product can accurately quantify the actual degree of control deterioration in each step under the influence of cumulative deviation.

[0053] The comprehensive feature values ​​calculated for all groups of data in the dataset corresponding to the analysis samples are sorted according to the order of copper salt treatment cycle. That is, the comprehensive feature values ​​of the collected data are calculated and sorted according to the production steps and the processing order in each step. Based on the sorting order, a comprehensive feature vector is constructed for each analysis sample under the cumulative influence. The comprehensive feature vector reflects the comprehensive control deviation characteristics of the analysis sample in different steps. Then, based on the comprehensive feature vector, the analysis samples of all batches per day in the hydrometallurgical zinc production line are compared, and the copper salt dechlorination cycle is optimized and adjusted based on the comparison results. Specifically, the comprehensive feature vectors of all batches of analysis samples per day are used as input, and agglomerative hierarchical clustering is used to divide the comprehensive feature vectors. The distance between analysis samples is determined by calculating the Euclidean distance between the comprehensive feature vectors. The purpose is to fully consider the cumulative influence intensity of the control deviations from front to back in each step and the influence characteristics on the final dechlorination effect, and to accurately cluster the differences caused by the cumulative influence of control deviations in different batches.

[0054] Furthermore, based on the above analysis and processing, clusters were obtained after clustering. These clusters contain analytical samples that represent the approximate comprehensive control deviation characteristics of each step. Then, based on the divided clusters, the control deviation of each step in the copper salt dechlorination cycle process of all current batches is analyzed. Based on the analysis results, the control process of each step is optimized and adjusted. Specifically, for each divided cluster, the mean value of elements at the same position in all comprehensive feature vectors within the cluster is calculated. This mean value is used as the feature value of the influence of deviations in the same treatment step of copper salt dechlorination. The larger the feature value, the greater the potential impact of the control deviation of the corresponding treatment step on the cycle process under the cumulative deviation influence of all analytical samples in the current cluster. It should be noted that the elements at the same position in the aforementioned comprehensive feature vector refer to the comprehensive feature value under the influence of cumulative deviations in the control process of the same step in the copper salt dechlorination cycle process.

[0055] Furthermore, the mean of the absolute values ​​of the deviations of the data collected in the same processing stage for all comprehensive feature vectors in the cluster is calculated. The product of this mean and the feature value of the deviation influence in the same processing stage is taken as the first feature value of the control deviation change characteristic under the cumulative influence. The mean of the first feature values ​​corresponding to all clusters is taken as the second feature value of the control deviation change characteristic under the cumulative deviation influence in the same processing stage. The larger the second feature value, the more significant the influence of the cumulative deviation on the current processing stage is in the cyclic processing, according to the comprehensive analysis of control deviation under different cumulative influence characteristics in the actual production process. Then, the control parameters of each processing stage are adjusted based on the second feature value. First, the second feature values ​​of all processing stages are used as input and processed using the maximum-minimum value normalization method to calculate the adjustment parameters for different processing stages: (1) Calculate the mean absolute value of the deviation of the data collected in the same processing stage for all comprehensive feature vectors corresponding to the analysis samples. If the mean is less than or equal to 20%, where 20% is a preset threshold that can be adjusted according to the accuracy requirements of the actual control system, it indicates that the deviation of the current measured value from the preset value is small. It is possible that the cumulative deviation has caused the control system to have a response lag in the current processing stage. Therefore, the proportional parameter is increased according to the degree of cumulative deviation to improve the sensitivity and response speed of the control system. The specific calculation process of the adjustment parameter is as follows: .

[0056] (2) Calculate the mean of the absolute values ​​of the deviations of all comprehensive feature vectors corresponding to the data collected in the same processing stage. If the mean is greater than 20%, it indicates that the deviation of the current measured value from the preset value is large, which may lead to serious overshoot in the control system during the current processing stage due to the influence of cumulative deviation. Therefore, reduce the proportional parameter according to the degree of influence of cumulative deviation, reduce the system gain, and suppress the influence of overshoot on the control of the current stage. The specific calculation process of the adjustment parameter is as follows: .

[0057] The specific operation flowchart for adjusting the proportional parameter of the PI controller is as follows: Figure 2 As shown.

[0058] In the processing of (1) and (2), Adjustment parameters for each processing stage; This represents the quantized processing result of the second characteristic value of each processing stage; that is, the more significant the cumulative deviation influence of the current processing stage during the cyclic processing, the greater the influence of the control deviation in the corresponding stage's control process, and thus the greater the adjustment of the control parameters, thereby improving the controller's control accuracy during the cyclic processing; wherein the PLC control system in this application uses a PI controller, and the control parameters are proportional parameters. The initial control parameters are determined by the attenuation curve method, and the control parameters of each stage in the production process of the next day are adjusted based on the adjustment parameters determined each day: the product of the determined initial control parameters and the adjustment parameters is used as the adjusted control parameters, and the proportional parameters are adjusted to compensate for the problem of low control accuracy of the system under the cumulative influence of control deviation.

[0059] It should be noted that the above-mentioned processing method in this application takes into account the cyclic processing method. The monitoring data of copper salt dechlorination cyclic processing in all batches of production each day are compared and analyzed to determine the characteristics of the cumulative deviation in different batches during the cyclic processing on that day, and then optimize and adjust the control of each link in the subsequent cyclic processing.

[0060] Example 2 A copper salt dechlorination recycling process for a hydrometallurgical zinc smelting production line, applied in the field of hydrometallurgical zinc smelting technology, see attached document. Figure 1 The process includes: S1, dechlorination.

[0061] In a hydrometallurgical zinc production line, zinc oxide feedstock undergoes neutral leaching to obtain a secondary leaching solution. 10L of this solution, containing 1.5g / L of chloride, is adjusted to pH 4.0 with sulfuric acid. A dechlorinating agent with a copper content twice that of the chloride is slowly added. The reaction temperature is controlled at 50-60℃ using a PLC control system, while the pH is maintained at 4.0 and the stirring speed is controlled. The reaction time is 90 minutes. After the reaction, a sample is taken to analyze the chloride ion content in the dechlorinated solution. If the chloride ion content is greater than 0.3g / L, another 10 times the amount of copper dechlorinating agent is added, and the reaction is repeated for 45 minutes. The chloride ion content is then analyzed again. If the chloride ion content is less than 0.3g / L, the solution is directly filtered to obtain the dechlorinated solution and dechlorinated residue. During the dechlorination process, the temperature, pH, and stirring speed are collected in real time by the PLC control system. The collected data is transmitted to the PLC control system, which then provides real-time feedback control of the temperature, stirring speed, and pH during the production process.

[0062] S2, pickling.

[0063] The dechlorinated slag obtained after dechlorination treatment is slurried with industrial water and transported to an acid washing tank. The dechlorinated slag is then added to 500ml of clean water, and the pH value is adjusted to 4.0 using industrial sulfuric acid. The reaction temperature is controlled at 50℃ and the reaction time is 45min by a PLC control system. After the reaction is completed, the dechlorinated slag and acid washing solution are obtained by filtration. If the zinc content of the acid washing solution is greater than 80g / L, it is sent to the leaching process; if the zinc content is less than 80g / L, it is returned to the acid washing process. During the acid washing process, the reaction temperature and pH value are collected in real time by the PLC control system, and the temperature and pH value are controlled in real time by the controller based on the collected data.

[0064] S3, alkaline washing.

[0065] The dechlorinated sludge obtained after acid washing is slurried with industrial water and then transported to an alkaline washing tank. The dechlorinated sludge after acid washing is added to clean water, and the liquid-solid ratio is controlled at 3:1. The reaction temperature is controlled at 70℃ by a PLC control system, and the pH value is adjusted and controlled at 9 using caustic soda flakes. The reaction time is 90 minutes. After the reaction is completed, the alkaline washing water and the dechlorinated agent after alkaline washing are obtained by filtration. During the alkaline washing process, the reaction temperature and the pH value of the solution are collected in real time by a PLC control system. Based on the collected data, the temperature and pH value of the reaction process are controlled by a controller.

[0066] S4. Rinse.

[0067] The dechlorinating agent after alkaline washing is added to clean water, with a liquid-to-solid ratio of 3:1. The mixture is stirred and controlled by a PLC system at room temperature for 30 minutes. After the reaction, the mixture is filtered to obtain the dechlorinating agent and rinse water. The rinse water can be used as industrial water in the alkaline washing process, while the dechlorinating agent can be used in the next dechlorination process. The rinse water can be returned to the alkaline washing process as industrial water. During the rinsing process, the stirring speed is collected in real time by the PLC system, and the controller provides feedback control based on the collected data.

[0068] S5, regeneration.

[0069] During the repetition of steps S1 to S4, if the copper-to-chlorine mass ratio in the leaching solution exceeds 10 during step S1, 1L of chlorinated industrial brine is used to slurry the dechlorinated slag, and industrial sulfuric acid is added to adjust the pH to 4.0. Then, copper leaching solution is added, with the amount of divalent copper ions added being 1.3 times the amount of chloride ions in the industrial brine. The reaction temperature is controlled at 50℃ and the stirring speed is controlled by a PLC control system. The stirring reaction time is 90 minutes. After the reaction is completed, the residue is filtered to obtain regenerated cuprous chloride slag and low-chlorine brine. If the copper content in the low-chlorine brine is greater than 0.2g / L, it is returned to the regenerated industrial brine. If the copper content is less than 0.2g / L, the low-chlorine brine is transported to the water treatment system. During the regeneration process, the pH, temperature, and stirring speed are collected in real time by the PLC control system, and the temperature, pH, and stirring speed are fed back and controlled by the controller based on the collected data.

[0070] S6, Plating Copper.

[0071] The dechlorinated solution is transferred to a copper precipitation tank, stirred, and kept at 40°C. Iron powder, 0.7 times the amount of remaining copper, is slowly added. The reaction time is 45 minutes. If the copper ion content is greater than 0.1 g / L after the reaction, iron powder is added as needed based on the remaining copper ions. If the copper ion content is less than 0.1 g / L, the copper precipitation solution and copper slag are directly filtered. The copper precipitation solution is then subjected to alum precipitation treatment. During the copper precipitation process, the temperature and stirring speed are collected in real time by a PLC control system, and the temperature and stirring speed are controlled in the reaction process based on the collected data.

[0072] S7, Oxidation.

[0073] The copper slag obtained after copper plating is piled up for oxidation for more than 25 days, with the thickness of the piled slag being less than 30cm.

[0074] S8, copper immersion.

[0075] Dilute sulfuric acid was used to dissolve copper oxide slag, with a liquid-to-solid ratio of 3:1. The reaction temperature was controlled at 75℃, the concentration of dilute sulfuric acid at 120g / L, and the stirring speed was controlled by a PLC control system. The stirring reaction time was 120min. After the reaction was completed, the copper leaching solution and copper leaching slag were obtained by filtration. The copper leaching slag was returned for further oxidation and stockpiling. During the copper leaching process, the reaction temperature and stirring speed were collected in real time by the PLC control system, and the temperature and stirring speed were fed back and controlled by the controller based on the collected data.

[0076] S9, Copper Salt Dechlorination Cycle Control Optimization.

[0077] The proportional parameters of the PI controller in each step and each processing stage are adjusted using the same method as in Example 1.

[0078] Example 3 A copper salt dechlorination recycling process for a hydrometallurgical zinc smelting production line, applied in the field of hydrometallurgical zinc smelting technology, see attached document. Figure 1 The process includes: S1, dechlorination.

[0079] In a hydrometallurgical zinc production line, zinc oxide feedstock undergoes neutral leaching to obtain a secondary leaching solution. 10L of this solution, containing 1.5g / L of chloride, is adjusted to pH 3.5 with sulfuric acid. A dechlorinating agent with a copper content twice that of the chloride is slowly added. The reaction temperature is controlled at 50-60℃ using a PLC control system, while the pH is maintained at 3.5 and the stirring speed is controlled. The reaction time is 70 minutes. After the reaction, a sample is taken to analyze the chloride ion content in the dechlorinated solution. If the chloride ion content is greater than 0.3g / L, another five times the amount of copper dechlorinating agent is added, and the reaction is repeated for 30 minutes. The chloride ion content is then analyzed again. If the chloride ion content is less than 0.3g / L, the solution is directly filtered to obtain the dechlorinated solution and dechlorinated residue. During the dechlorination process, the temperature, pH value, and stirring speed are collected in real time by the PLC control system. The collected data is transmitted to the PLC control system, which then provides real-time feedback control of the temperature, stirring speed, and pH value during the production process.

[0080] S2, pickling.

[0081] The dechlorinated slag obtained after dechlorination treatment is slurried with industrial water and transported to an acid washing tank. The dechlorinated slag is then added to 500ml of clean water, and the pH value is adjusted to 3.5 using industrial sulfuric acid. The reaction temperature is controlled at 42℃ and the reaction time is 40min by a PLC control system. After the reaction is completed, the dechlorinated slag and acid washing solution are obtained by filtration. If the zinc content of the acid washing solution is greater than 80g / L, it is sent to the leaching process; if the zinc content is less than 80g / L, it is returned to the acid washing process. During the acid washing process, the reaction temperature and pH value are collected in real time by the PLC control system, and the temperature and pH value are controlled in real time by the controller based on the collected data.

[0082] S3, alkaline washing.

[0083] The dechlorinated sludge obtained after acid washing is slurried with industrial water and then transported to an alkaline washing tank. The dechlorinated sludge after acid washing is added to clean water, and the liquid-solid ratio is controlled at 4.5:1. The reaction temperature is controlled at 70℃ by a PLC control system, and the pH value is adjusted and controlled at 10 using caustic soda flakes. The reaction time is 70 minutes. After the reaction is completed, the alkaline washing water and the dechlorinated agent after alkaline washing are obtained by filtration. During the alkaline washing process, the reaction temperature and the pH value of the solution are collected in real time by a PLC control system. Based on the collected data, the temperature and pH value of the reaction process are controlled by a controller.

[0084] S4. Rinse.

[0085] The dechlorinating agent after alkaline washing is added to clean water, with a liquid-to-solid ratio of 4:1. The mixture is stirred and controlled by a PLC system at room temperature for 30 minutes. After the reaction, the mixture is filtered to obtain the dechlorinating agent and rinse water. The rinse water can be used as industrial water in the alkaline washing process, while the dechlorinating agent can be used in the next dechlorination process. The rinse water can be returned to the alkaline washing process as industrial water. During the rinsing process, the stirring speed is collected in real time by the PLC system, and the controller provides feedback control based on the collected data.

[0086] S5, regeneration.

[0087] During the repetition of steps S1 to S4, if the copper-to-chlorine mass ratio in the leaching solution exceeds 10 during step S1, 1L of chlorinated industrial brine is used to slurry the dechlorinated slag, and industrial sulfuric acid is added to adjust the pH to 4.0. Then, copper leaching solution is added, with the amount of divalent copper ions added being 1.3 times the amount of chloride ions in the industrial brine. The reaction temperature is controlled at 70℃ and the stirring speed is controlled by the PLC control system. The stirring reaction time is 60 minutes. After the reaction is completed, the regenerated cuprous chloride slag and low-chlorine brine are obtained by filtration. If the copper content in the low-chlorine brine is greater than 0.2g / L, it is returned to the regenerated industrial brine. If the copper content is less than 0.2g / L, the low-chlorine brine is sent to the water treatment system. During the regeneration process, the pH, temperature, and stirring speed are collected in real time by the PLC control system, and the temperature, pH, and stirring speed are fed back and controlled by the controller based on the collected data.

[0088] S6, Plating Copper.

[0089] The dechlorinated solution is transferred to a copper precipitation tank, stirred, and kept at 45°C. Iron powder, 0.8 times the amount of remaining copper, is slowly added. The reaction time is 40 minutes. If the copper ion content is greater than 0.1 g / L after the reaction, iron powder is added as needed based on the remaining copper ions. If the copper ion content is less than 0.1 g / L, the copper precipitation solution and copper slag are directly filtered. The copper precipitation solution is then subjected to alum precipitation treatment. During the copper precipitation process, the temperature and stirring speed are collected in real time by a PLC control system, and the temperature and stirring speed are controlled in the reaction process based on the collected data.

[0090] S7, Oxidation.

[0091] The copper slag obtained after copper plating is piled up for oxidation for more than 30 days, with the thickness of the piled slag being less than 30cm.

[0092] S8, copper immersion.

[0093] Copper oxide slag was dissolved using dilute sulfuric acid, with a liquid-to-solid ratio of 4:1. The reaction temperature was controlled at 80℃, the sulfuric acid concentration at 130g / L, and the stirring speed was controlled by a PLC control system. The stirring reaction time was 150min. After the reaction was completed, the copper leaching solution and copper leaching slag were obtained by filtration. The copper leaching slag was returned for further oxidation and stockpiling. During the copper leaching process, the reaction temperature and stirring speed were collected in real time by the PLC control system, and the temperature and stirring speed were fed back and controlled by the controller based on the collected data.

[0094] S9, Copper Salt Dechlorination Cycle Control Optimization.

[0095] The proportional parameters of the PI controller in each step and each processing stage are adjusted using the same method as in Example 1.

[0096] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description; sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0097] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A copper salt dechlorination recycling process for a hydrometallurgical zinc production line, characterized in that, The process includes: in a hydrometallurgical zinc production line, secondary zinc oxide raw material undergoes neutral leaching to obtain intermediate leaching solution. This solution is then processed through a cyclical process of "chlorination-acid washing-alkali washing-rinsing-regeneration-copper precipitation-oxidation-copper leaching" to achieve chloride ion removal and copper salt recycling. Furthermore, during this cyclical process: Each batch of intermediate leaching solution is used as a group for each type of control data collected at each step in the copper salt dechlorination cycle process, and all groups of data for each batch are numbered in a fixed order. Analyze the deviation of each set of data from the target value at each acquisition time, and based on the distribution characteristics of local deviations, divide the sequence composed of each set of data into several subsequences; Based on the distribution characteristics of the disorder of elements in all subsequences, and combined with the dispersion of all deviations obtained from each set of data, the comprehensive feature value corresponding to each set of data is determined. Based on the distance distribution characteristics between the comprehensive feature values ​​corresponding to all groups of data in different batches, all batches are classified. Analyze the comprehensive characteristic values ​​and overall distribution of deviations corresponding to all batch group numbers in each category, and adjust the proportional parameters of the PI controller in the copper salt dechlorination cycle process for the next batch of intermediate leaching solution. The PI controller is used to control the control data of each type in each step of the copper salt dechlorination cycle process.

2. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 1, characterized in that, The specific dechlorination process is as follows: the pH of the intermediate leaching solution is adjusted to 3.0~4.0, and a dechlorinating agent is added and stirred until the chloride ion concentration in the dechlorinated liquid is less than 0.3g / L. The solution and dechlorinated residue are then obtained by filtration.

3. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 2, characterized in that, The specific operation of the pickling is as follows: the dechlorinated slag obtained after dechlorination treatment is pulped, the liquid-solid ratio is controlled at 3~5:1 during the pulping process, the pH is adjusted to 3.0~4.0 with industrial sulfuric acid, the reaction temperature is 40~50℃, the reaction time is 30~45min, and after the reaction is completed, the pickling dechlorinated slag and pickling solution are obtained by filtration. The pickling solution contains zinc >80g / L. The specific operation of the alkaline washing is as follows: the dechlorinated sludge obtained after acid washing is slurried with industrial water and then transported to the alkaline washing tank. During the slurrying process, the liquid-solid ratio is controlled at 3~5:1, the reaction temperature is 50~70℃, the pH is adjusted to 9~11 using caustic soda flakes, the reaction time is 60~90min, and the alkaline washing water and dechlorinating agent are obtained by filtration. The specific rinsing process is as follows: the dechlorinating agent after alkaline washing is rinsed with industrial water. During the rinsing process, the liquid-solid ratio is controlled at 3~5:

1. The mixture is stirred and reacted at room temperature for 20~30 minutes, and then filtered to obtain the dechlorinating agent and rinsing water.

4. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 3, characterized in that, The regeneration process includes: In the repeated process of "dechlorination-acid washing-alkali washing-rinsing", if the mass ratio of copper to chlorine in the leaching solution exceeds 10 during the dechlorination process, the dechlorinated slag obtained after acid washing is the ineffective dechlorination slag. The ineffective dechlorination slag is dissolved in industrial brine containing 80~120g / L of chloride ions, the liquid-solid ratio is controlled at 3~5:1, the pH value is adjusted to 3.0~4.0, and then copper sulfate pentahydrate or copper leaching solution is added. The amount of divalent copper ions added is 1.3~1.5 times the chloride ion content in the industrial brine. The reaction temperature is controlled at 50~70℃, and the reaction is stirred for 60~90min before filtration to obtain low-chlorine brine and regenerated cuprous chloride slag.

5. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 1, characterized in that, The copper plating process is specifically as follows: The dechlorinated solution is transferred to a copper precipitation tank, stirred, and iron powder is slowly added. The amount of iron powder is 0.7 to 0.8 times the amount of copper ions. The reaction temperature is 40 to 50°C, and the reaction time is 30 to 45 minutes. The copper ion concentration is <0.1 g / L. The solution and copper slag are obtained by filtration.

6. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 5, characterized in that, The oxidation process specifically involves: oxidizing the copper slag obtained after copper plating by piling it up for more than 20 days, wherein the thickness of the slag pile is less than 30cm.

7. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 6, characterized in that, The specific process of copper leaching is as follows: the oxidized copper slag is placed in dilute sulfuric acid, wherein the liquid-solid ratio is controlled at 3~5:1, the reaction temperature is 75~85℃, the concentration of dilute sulfuric acid is 120~150g / L, the reaction is stirred for 120~180min, the copper leaching solution and copper leaching slag are obtained by filtration, and the copper leaching slag is returned to continue oxidation and stockpiling treatment.

8. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 1, characterized in that, The specific process of dividing each data set into several subsequences is as follows: The sequence of deviations of each data set at all acquisition times is segmented to obtain the deviation subsequence; The proportion of the element dispersion of each deviation subsequence in all deviation subsequences is used as the weight of the number of elements in the corresponding deviation subsequence. The weighted sum of the number of elements in all deviation subsequences of each data group is then obtained to obtain the characteristic coefficient of the cumulative influence of each data group. The rounded-up value of the obtained feature coefficients is used as the length of the subsequence after each data group is divided.

9. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 1, characterized in that, The determination of the comprehensive feature value corresponding to each group of data is specifically as follows: The mean of the sample entropy of all elements in the subsequences is used as the comprehensive impact value of each data set. Calculate the dispersion of all deviations obtained for each set of data, and multiply it by the comprehensive influence value to obtain the comprehensive characteristic value corresponding to each set of data.

10. The copper salt dechlorination recycling process for a hydrometallurgical zinc production line as described in claim 1, characterized in that, The specific process for adjusting the proportional parameters of the PI controller in the copper salt dechlorination cycle process for the next batch of intermediate leaching solution is as follows: The vector composed of all the comprehensive feature values ​​obtained in the same batch is taken as the comprehensive feature vector; Calculate the mean of the elements at the same position in all comprehensive feature vectors in each category to obtain the feature values ​​of the corresponding group number data affected by the bias; Calculate the mean of the absolute values ​​of all deviations obtained from the data of the group corresponding to the elements at the same position of all comprehensive feature vectors in each category, and multiply it with the feature value affected by the deviation to obtain the first feature value; The mean of all first feature values ​​obtained from all categories is used as the second feature value, and it is normalized. When the normalization result is greater than the preset value, the difference between the natural number 1 and the normalized second feature value is used as the adjustment parameter in the data acquisition process of the corresponding group number. Otherwise, the sum of the natural number 1 and the normalized second eigenvalue is used as the adjustment parameter in the data acquisition process for the corresponding group number; The product of the initial control parameter and the adjustment parameter is used as the proportional parameter of the PI controller in the process of acquiring the corresponding group number data in the next batch.

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