A system and method for treating waste liquid from recycling of waste lithium batteries

Abstract

The application provides a waste liquid treatment system and method for recycling waste lithium batteries, which comprises the following steps: obtaining a waste liquid source label of the waste liquid to be treated; determining the cross-influence coefficient between different pollution elements based on the treatment efficiency and the reference purification reaction characteristics of each pollution element under the same purifying agent treatment determined by the waste liquid source label; constructing a treatment process template of each pollution element according to the reaction link of each pollution element; determining the synergistic purification process chain of the waste liquid according to all the cross-influence coefficients and the treatment process template of each pollution element; determining the weakening characteristics of each pollution element after purification in the waste liquid, and correcting the synergistic purification process chain according to all the weakening characteristics and the reaction constraint quantity of the reaction product of each pollution element in the purification reaction to obtain the constraint treatment path of the waste liquid; and performing constraint treatment on the subsequent waste liquid flowing in based on the constraint treatment path. The technical scheme provided by the application can improve the treatment efficiency of the waste liquid under the influence of multiple coexisting pollution elements.

Description

Technical Field

[0001] This application relates to the field of waste liquid treatment technology, and more specifically, to a waste liquid treatment system and method for recycling waste lithium batteries. Background Technology

[0002] With the acceleration of industrialization, various industrial production activities generate a large amount of waste liquid. This waste liquid has a complex composition and often contains pollutants such as heavy metals, acids, alkalis, and organic matter. If it is discharged directly without proper treatment, it will cause serious pollution to the ecological environment such as soil and water, threatening human health and ecological balance. Traditional waste liquid treatment methods have problems such as high treatment costs, low efficiency, high energy consumption, or easy generation of secondary pollution. Therefore, developing efficient, low-consumption, and environmentally friendly waste liquid treatment technologies to achieve pollutant discharge standards and resource recycling has become a key issue that urgently needs to be addressed.

[0003] In existing wastewater treatment, purification is achieved through physical, chemical, and membrane separation technologies based on the differences in the physical, chemical, and biological characteristics of pollutants. Physical treatment uses methods such as filtration, centrifugation, sedimentation, and flotation to separate suspended solids, particulate matter, or oils. Chemical treatment removes impurities by adding reagents to induce reactions such as neutralization, oxidation-reduction, and flocculation to alter the properties of pollutants. Membrane separation technology utilizes the selective permeability of semi-permeable membranes to retain heavy metal ions and large organic molecules for separation and purification. However, in the treatment of wastewater from recycled lithium batteries, the wastewater typically contains a variety of complex pollutants. When multiple pollutants coexist in the wastewater, they interfere with each other. Real-time purification of the wastewater can also cause secondary pollution due to the interference of pollutant reactions, resulting in low energy efficiency in wastewater treatment. Therefore, improving the energy efficiency of wastewater treatment under the influence of multiple coexisting pollutants has become a challenge for the industry. Summary of the Invention

[0004] This application provides a waste liquid treatment system and method for recycling waste lithium batteries, which can improve the treatment efficiency of waste liquid under the influence of multiple pollutants.

[0005] In a first aspect, this application provides a method for treating waste liquid from the recycling of waste lithium batteries, comprising the following steps: The waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain the waste liquid source label; Based on the waste liquid source label, the multidimensional pollutant elements coexisting in the waste liquid are identified, and the cross-influence coefficient between different pollutant elements is determined according to the treatment efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state. Based on the reaction chain of each pollutant element during the purification treatment of the waste liquid, a treatment process template adapted to each pollutant element is constructed, and then the synergistic purification process chain of the waste liquid is determined according to all the cross-influence coefficients and the treatment process templates adapted to each pollutant element. The weakening characteristics of each pollutant element in the waste liquid under the current purification state are determined, and the synergistic purification process chain is modified based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product. Thus, the constrained treatment path of the waste liquid is obtained. The waste liquid that subsequently flows in is constrained based on the constrained processing path.

[0006] In some embodiments, identifying the multidimensional pollutants coexisting in the waste liquid based on the waste liquid source label specifically includes: Access the reference database of pollutant elements in the waste lithium battery recycling process; Extract multiple pollutant elements corresponding to the waste liquid source label from the pollutant element reference database; All polluting elements are combined into a multidimensional polluting element coexisting in the waste liquid.

[0007] In some embodiments, determining the cross-influence coefficient between different pollutant elements based on the treatment energy efficiency and baseline purification reaction characteristics of each pollutant element under the same purification agent treatment state specifically includes: Obtain the baseline treatment energy efficiency and baseline purification reaction characteristics of each pollutant element under the action of the purifying agent; The actual treatment efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifying agent were determined. For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency and the actual treatment energy efficiency corresponding to the pollutant element, and determine the characteristic deviation between the baseline purification reaction characteristics and the actual purification reaction characteristics corresponding to the pollutant element. The cross-interference amount of pollutant elements is determined based on the energy efficiency deviation and the characteristic deviation, and then the cross-interference amount of each pollutant element under the same purification agent treatment state is obtained. The cross-influence coefficient between each pair of pollutants is determined based on the cross-interference amount between each pair of pollutants.

[0008] In some embodiments, constructing a treatment process template adapted to each pollutant element based on the reaction chain during the purification treatment of the waste liquid specifically includes: For each pollutant element, analyze all chemical reaction steps and intermediate products involved in the purification process to form the reaction chain of that pollutant element. Identify the main reaction pathway and side reaction pathways in the reaction chain; Based on the main reaction path, the key process parameters for pollutants in the purification process are determined. Based on the aforementioned side reaction pathway, an inhibitory parameter for polluting elements in the purification process is added; Based on the key process parameters and the inhibition parameters, a treatment process template adapted to each pollutant element is generated, thereby obtaining a treatment process template adapted to each pollutant element.

[0009] In some embodiments, the synergistic purification process chain for the waste liquid, determined based on all cross-influence coefficients and the appropriate treatment process templates for each pollutant element, specifically includes: An interference intensity matrix is ​​constructed based on the cross-influence coefficients corresponding to each pair of polluting elements; Based on the interference intensity matrix, the treatment process templates for each pollutant element are traversed, and the key process parameters and inhibition parameters in the treatment process templates are scaled proportionally to obtain the optimized treatment process templates for each pollutant element. A synergistic purification process chain for the waste liquid is generated based on all optimized treatment process templates.

[0010] In some embodiments, determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state specifically includes: During the current processing cycle, obtain the concentration data of each pollutant element in the waste liquid before and after purification treatment; The weakening characteristics of each pollutant element after purification are determined based on the concentration data of each pollutant element before and after purification treatment.

[0011] In some embodiments, the waste liquid source label can be classified into three categories according to the waste liquid treatment process stage: leaching waste liquid label, washing waste liquid label, and residual liquid mixture label.

[0012] Secondly, this application provides a waste lithium battery recycling waste liquid treatment system, comprising: The classification module is used to classify the source of the waste liquid to be treated in the waste lithium battery recycling process and obtain the waste liquid source label. The processing module is used to identify the multidimensional pollutants coexisting in the waste liquid based on the waste liquid source label, and to determine the cross-influence coefficient between different pollutants based on the treatment efficiency and benchmark purification reaction characteristics of each pollutant under the same purification agent treatment state. The processing module is also used to construct a processing process template adapted to each pollutant element based on the reaction chain when each pollutant element is purified in the waste liquid, and then determine the synergistic purification process chain of the waste liquid based on all the cross-influence coefficients and the processing process templates adapted to each pollutant element. The processing module is also used to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the synergistic purification process chain based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product, thereby obtaining the constraint treatment path of the waste liquid. The execution module is used to perform constraint processing on the subsequently flowing waste liquid based on the constraint processing path.

[0013] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described waste lithium battery recycling waste liquid treatment method.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for treating waste liquid from recycled lithium batteries.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: The waste liquid treatment system and method for waste lithium battery recycling provided in this application firstly classifies the waste liquid to be treated in the waste lithium battery recycling process by source to obtain the waste liquid source label; secondly, based on the waste liquid source label, the multidimensional pollutants coexisting in the waste liquid are identified, and the cross-influence coefficient between different pollutants is determined according to the treatment efficiency and baseline purification reaction characteristics of each pollutant under the same purification agent treatment state; further, based on the reaction chain of each pollutant during purification treatment in the waste liquid, a treatment process template adapted to each pollutant is constructed, and then the synergistic purification process chain of the waste liquid is determined according to all the cross-influence coefficients and the treatment process templates adapted to each pollutant; then, the weakening characteristics of each pollutant in the waste liquid under the current purification state are determined, and the synergistic purification process chain is modified according to all the weakening characteristics and the reaction constraint amount of the reaction products of each pollutant during the purification reaction, thereby obtaining the constrained treatment path of the waste liquid; finally, the subsequent inflow of waste liquid is constrained based on the constrained treatment path.

[0016] Therefore, this application can improve the treatment efficiency of waste liquid under the influence of multiple coexisting pollutants. First, the waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain waste liquid source tags, which helps to infer the types of coexisting pollutants in the waste liquid and guides subsequent pollution assessment and process modeling. Second, based on the waste liquid source tags, the multidimensional pollutants coexisting in the waste liquid are identified, and the cross-influence coefficients between different pollutants are determined according to the treatment efficiency of each pollutant under the same purifier treatment state and the baseline purification reaction characteristics. This effectively identifies the mutual interference relationship between different pollutants under the same purification conditions, thereby guiding the rational design of the treatment sequence, optimization of purifier selection and treatment parameters, avoiding secondary pollution caused by mutual interference when multiple pollutants coexist, and improving overall purification efficiency and system stability. Furthermore, based on the characteristics of each pollutant in the waste liquid... The process involves constructing a treatment process template suitable for each pollutant element during the purification process. Then, based on all cross-influence coefficients and the corresponding treatment process templates for each pollutant element, a synergistic purification process chain for the waste liquid is determined. This ensures efficient and stable synergistic removal of multiple pollutants under unified process conditions and guides the execution of subsequent treatment cycles. Next, the synergistic purification process chain is modified based on the weakening characteristics of each pollutant element after purification, combined with the reaction constraint amounts of the reaction products during the purification reaction. This yields a constrained treatment path for the waste liquid, effectively ensuring the treatment process can flexibly cope with complex pollutant combinations and improving its adaptability to different waste liquid characteristics. Finally, the incoming waste liquid is subjected to constrained treatment based on the constrained treatment path. In summary, the technical solution provided in this application can improve the treatment efficiency of waste liquid under the influence of multiple coexisting pollutants. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of a waste lithium battery recycling waste liquid treatment method according to some embodiments of this application; Figure 2 This is an exemplary flowchart illustrating the determination of multidimensional polluting elements according to some embodiments of this application; Figure 3 This is an exemplary flowchart illustrating the determination of a processing template according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a waste lithium battery recycling waste liquid treatment system according to some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device for implementing a waste lithium battery recycling and waste liquid treatment method according to some embodiments of this application. Detailed Implementation

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of a waste lithium battery recycling waste liquid treatment method according to some embodiments of this application. The waste lithium battery recycling waste liquid treatment method mainly includes the following steps: In step 101, the waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain the waste liquid source label.

[0020] In practice, the waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain the waste liquid source label. The waste liquid source label can be divided into three categories according to the waste liquid treatment process stage: leaching waste liquid label, washing waste liquid label, and residual liquid mixture label, which will not be elaborated here.

[0021] It should be noted that the waste liquid source label in this application represents the source identifier of the waste liquid to be treated in the waste lithium battery recycling process. By determining the waste liquid source label, the types of pollutants coexisting in the waste liquid (such as metal ions, organic residues, acid and alkali substances, etc.) can be inferred, and subsequent pollution judgment and process modeling can be guided.

[0022] In step 102, the multidimensional pollutants coexisting in the waste liquid are identified based on the waste liquid source label, and the cross-influence coefficients between different pollutants are determined according to the treatment efficiency and baseline purification reaction characteristics of each pollutant under the same purification agent treatment state.

[0023] It should be noted that, in this application, "multidimensional pollutant elements" refers to multiple types of pollutants that coexist in the waste liquid to be treated during the recycling of waste lithium batteries. These multidimensional pollutant elements include, but are not limited to, heavy metal ions (i.e., Li⁺, Co²⁺, Ni²⁺, Mn²⁺, Fe³⁺), inorganic acid and alkali residues (i.e., H⁺, OH⁻, SO₄²⁻, PO₄³⁻), organic additive degradation products (i.e., PVDF residues, solvent residues, binder by-products), complexing agents, or reaction intermediates. These pollutant elements have significant differences in their physicochemical properties.

[0024] In some embodiments, reference Figure 2 As shown, this figure is an exemplary flowchart for determining multidimensional pollutant elements according to some embodiments of this application. In this embodiment, the identification of multidimensional pollutant elements coexisting in the waste liquid based on the waste liquid source label can be achieved by the following steps: First, in step 1021, the reference database of pollutant elements in the waste lithium battery recycling process is called; Then, in step 1022, multiple pollutant elements corresponding to the waste liquid source label are extracted from the pollutant element reference database; Finally, in step 1023, all the polluting elements are combined into a multidimensional polluting element coexisting in the waste liquid.

[0025] In practice, firstly, a reference database of pollutant elements in the waste lithium battery recycling process is called. This reference database records the types of common pollutants in the waste liquid corresponding to each typical process node and their probability distribution based on a large amount of experimental data and engineering practice. Secondly, multiple pollutant elements corresponding to the waste liquid source tags are extracted from the reference database. Finally, all the pollutant elements are combined into a multi-dimensional pollutant element coexisting in the waste liquid.

[0026] It should be noted that, in this embodiment, the pollutant element reference database refers to a pre-constructed pollutant element data resource library in the recycling and treatment of waste lithium batteries. This pollutant element reference database is used to store and associate information on the types, concentration ranges, co-occurrence patterns, and reaction characteristics of pollutants present in waste liquids generated in different process steps. In this application, pollutant elements refer to the environmentally harmful substances contained in the waste liquid.

[0027] In some embodiments, determining the cross-influence coefficient between different pollutant elements based on their treatment efficiency and baseline purification reaction characteristics under the same purifier treatment state can be achieved through the following steps: Obtain the baseline treatment energy efficiency and baseline purification reaction characteristics of each pollutant element under the action of the purifying agent; The actual treatment efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifying agent were determined. For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency and the actual treatment energy efficiency corresponding to the pollutant element, and determine the characteristic deviation between the baseline purification reaction characteristics and the actual purification reaction characteristics corresponding to the pollutant element. The cross-interference amount of pollutant elements is determined based on the energy efficiency deviation and the characteristic deviation, and then the cross-interference amount of each pollutant element under the same purification agent treatment state is obtained. The cross-influence coefficient between each pair of pollutants is determined based on the cross-interference amount between each pair of pollutants.

[0028] It should be noted that the cross-influence coefficient in this application represents the degree to which the different reaction mechanisms of multiple pollutants affect each other's purification efficiency under the same purification conditions. In wastewater treatment, the cross-influence coefficient is the key to optimizing the synergistic purification effect of multiple pollutants. It can effectively identify the mutual interference relationship between different pollutants under the same purification conditions, thereby guiding the rational design of the treatment sequence, optimizing the selection of purifying agents and treatment parameters, avoiding reaction path conflicts and by-product generation, and improving the overall purification efficiency and system stability.

[0029] In specific implementation, firstly, the baseline treatment efficiency (i.e., removal rate) and baseline purification reaction characteristics (i.e., reaction rate) of each pollutant element under the action of the purifying agent are obtained through existing experimental data or literature. Secondly, the actual treatment efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifying agent are determined using existing measurement techniques. For example, the actual treatment efficiency can be determined by atomic absorption spectrometry, and the actual purification reaction characteristics can be determined by monitoring the rate of change of the pollutant element over time, which will not be elaborated here. Furthermore, for each pollutant element, the absolute difference between the baseline treatment efficiency and the actual treatment efficiency is taken as the energy efficiency deviation, which represents the deviation between the baseline treatment efficiency and the actual treatment efficiency. The baseline purification reaction rate of the pollutant element is then measured. The absolute difference between the baseline purification reaction characteristic and the actual purification reaction characteristic is taken as the characteristic deviation, which represents the deviation between the baseline purification reaction characteristic and the actual purification reaction characteristic. Then, the energy efficiency deviation and the characteristic deviation are normalized to between 0 and 1 according to the minimum-maximum normalization method, and the weighted sum of the normalized energy efficiency deviation and the characteristic deviation is used as the cross-interference amount of the pollutant element to determine the cross-interference amount of each pollutant element under the same purification agent treatment state. Finally, since the cross-interference amount of each pollutant element is determined by the energy efficiency deviation and characteristic deviation under the coexistence state, in order to measure the cross-influence coefficient between two pollutant elements, for each pair of pollutant elements, the average value of the cross-interference amounts corresponding to the two pollutant elements can be used as the cross-influence coefficient between the two pollutant elements, thereby obtaining the cross-influence coefficient between different pollutant elements.

[0030] It should be noted that, in this embodiment, the baseline treatment efficiency represents the theoretically optimal removal effect achieved by a single pollutant element when treated with a specified purifying agent under conditions without interference from other pollutants. The quasi-purification reaction characteristics represent the ideal reaction behavior parameters exhibited by a single pollutant element when reacting with a specified purifying agent under conditions without coexistence interference. In this embodiment, the actual treatment efficiency represents the actual optimal removal effect achieved by a single pollutant element when treated with a specified purifying agent under conditions with interference from other pollutants. The actual purification reaction characteristics represent the actual reaction behavior parameters exhibited by a single pollutant element when reacting with a specified purifying agent under conditions with coexistence interference from multiple pollutants. In this embodiment, the cross-interference quantity represents the quantitative result of the deviation of the treatment behavior of a certain pollutant element from its baseline state due to the coexistence of multiple pollutants under the same purifying agent treatment conditions. The cross-interference quantity reflects the degree of decrease in treatment efficiency and change in reaction characteristics caused by the presence of other pollutants in the actual wastewater system, and is an important parameter for measuring the strength of mutual interference between different pollutants.

[0031] In step 103, a treatment process template adapted to each pollutant element is constructed based on the reaction chain when each pollutant element is purified in the waste liquid. Then, the synergistic purification process chain of the waste liquid is determined based on all the cross-influence coefficients and the treatment process templates adapted to each pollutant element.

[0032] It should be noted that, in this application, the reaction chain refers to the collection of all chemical reaction paths and related transformation processes that a certain pollutant element undergoes under specified treatment conditions during wastewater purification and treatment. This includes the entire process from its original form, through the generation and transformation of a series of intermediate products, to the final formation of a stable or removable product. The reaction chain includes not only the main reaction path (i.e., the reaction path on which the efficient removal of the pollutant element depends) but also the side reaction paths that occur (i.e., the by-product generation or reaction deviation paths). By obtaining the reaction chain, key reaction steps can be identified and corresponding treatment control strategies can be formulated, which is the basis for forming a pollutant element treatment process template.

[0033] In some embodiments, reference Figure 3 As shown, this figure is an exemplary flowchart illustrating the determination of a treatment process template according to some embodiments of this application. In this embodiment, constructing a treatment process template suitable for each pollutant element based on the reaction chain during the purification treatment of the waste liquid can be achieved through the following steps: First, in step 1031, for each pollutant element, all chemical reaction steps and intermediate products involved in the purification process are analyzed to form the reaction chain of the pollutant element. First, in step 1032, the main reaction path and the side reaction path in the reaction chain are identified; Secondly, in step 1033, the key process parameters of pollutants in the purification process are determined based on the main reaction path; Then, in step 1034, inhibition parameters for polluting elements in the purification process are added according to the side reaction pathway; Finally, in step 1035, a treatment process template adapted to each pollutant element is generated based on the key process parameters and the inhibition parameters, thereby obtaining the treatment process template adapted to each pollutant element.

[0034] In specific implementation, firstly, for each pollutant element, all chemical reaction steps and intermediate products involved in the purification process are analyzed through chemical reaction mechanism analysis to form the reaction chain of that pollutant element. For example, when treating lead-containing wastewater, the main pathway of lead ions reacting with sulfides to form PbS precipitate can be identified through chemical reaction mechanism analysis, while the byproduct pathway of PbO2 generation under oxidizing environment is recorded. Secondly, the main reaction pathway and side reaction pathway in the reaction chain are identified, that is, the reaction energy barrier of each reaction pathway in the reaction chain is obtained. The reaction energy barrier represents the minimum energy barrier that needs to be overcome for reactants to be converted into products. The reaction pathway with a reaction energy barrier less than a threshold is identified as the main reaction pathway, and the reaction pathway with a reaction energy barrier greater than or equal to the threshold is identified as the side reaction pathway. The threshold can be set according to actual needs and is not limited here. Further, based on the main reaction... The key process parameters for pollutants in the purification process are determined by the path: the optimal pH value and optimal purifying agent concentration under the main reaction path can be used as the key process parameters for pollutants in the purification process; then, inhibitory parameters for pollutants in the purification process are added according to the side reaction paths, that is, the optimal complexing dose set by expert knowledge by analyzing the causes and reaction conditions of the side reaction paths can be used as the inhibitory parameters for pollutants in the purification process; finally, the key process parameters in the main reaction path and the inhibitory parameters in the side reaction paths are used to generate a treatment process template adapted to the pollutant element according to the reaction sequence logic, thereby obtaining the treatment process template adapted to each pollutant element. The reaction sequence logic refers to the treatment sequence rule system established for multiple reaction steps and their sequential relationship for a certain pollutant element in the waste liquid purification process, which will not be elaborated here.

[0035] It should be noted that, in this embodiment, the main reaction pathway refers to the chemical reaction sequence experienced during the optimal removal process in the purification treatment of pollutants, including the reaction route from the initial form of the pollutant, through intermediate products, to the final transformation into a stable product. This main reaction pathway embodies the core mechanism upon which efficient pollutant treatment depends, and typically features fast reaction rates, few byproducts, and low energy consumption. It is the target pathway that should be prioritized and strengthened in the construction of the treatment process template. In this embodiment, the side reaction pathway refers to the non-chemical reaction sequence induced during the purification treatment of pollutants, other than the main reaction pathway, which is detrimental to the removal of the target pollutant. This side reaction pathway is usually triggered by minor factors in the reaction environment and can lead to the transformation of pollutants into compounds with increased solubility or the formation of intermediate products that are difficult to precipitate, thereby interfering with the normal progress of the main reaction pathway. Therefore, in the treatment process design, it is necessary to identify and suppress side reaction pathways to improve the purification effect and system stability. In this embodiment, the key process parameters refer to the core condition parameters set to ensure the efficient transformation of the main reaction pathway and the removal of the target pollutant. In this embodiment, the limiting parameters refer to the additive parameters specifically set to suppress the occurrence of side reaction pathways and avoid interference with the main reaction pathway. The treatment process template in this application represents an executable treatment scheme for removing pollutants in waste liquid purification. The treatment process template integrates the core information of controlling the main reaction path and side reaction path of pollutants. Based on the reaction chain of pollutants, the treatment process template is formed through experimental verification and deduction. It has the characteristics of strong targeting, high repeatability, and easy rapid deployment and dynamic adjustment of the process. It is an important basic unit for realizing the synergistic treatment of multiple pollutants and the optimization of treatment paths.

[0036] In some embodiments, determining the synergistic purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process templates adapted to each pollutant element can be achieved through the following steps: An interference intensity matrix is ​​constructed based on the cross-influence coefficients corresponding to each pair of polluting elements; Based on the interference intensity matrix, the treatment process templates for each pollutant element are traversed, and the key process parameters and inhibition parameters in the treatment process templates are scaled proportionally to obtain the optimized treatment process templates for each pollutant element. A synergistic purification process chain for the waste liquid is generated based on all optimized treatment process templates.

[0037] It should be noted that the synergistic purification process chain in this application refers to a treatment process scheme with overall synergy in the purification and treatment of multi-polluting elements in waste liquid. Specifically, the synergistic purification process chain is a standardized treatment process scheme constructed by coordinating and optimizing parameters based on the cross-influence coefficients between various polluting elements and their adapted treatment process templates. This synergistic purification process chain not only maintains the treatment effect of each polluting element in its main reaction path, but also comprehensively considers the reaction interference relationship between coexisting elements, balances and dynamically matches key process parameters and inhibitory parameters, and ensures that multiple pollutants can be efficiently and stably removed synergistically under unified process conditions. The synergistic purification process chain serves as the control benchmark for the entire waste liquid treatment process and can be used to guide the process execution, process adjustment, and path constraint generation in subsequent treatment cycles. It is the core basis for realizing intelligent and dynamic treatment control in multi-source pollution systems.

[0038] In specific implementation, firstly, the cross-influence coefficients corresponding to each pair of pollutants in the waste liquid are normalized and constructed numerically as an interference intensity matrix. Each element in the matrix represents the degree of interference of one pollutant element on the treatment effect of another pollutant element (that is, the normalized cross-influence coefficient is used as the interference intensity coefficient to characterize the degree of interference of one pollutant element on the treatment effect of another pollutant element). Secondly, the treatment process templates of each pollutant element are traversed according to the interference intensity matrix. The key process parameters and inhibition parameters in the treatment process templates are scaled proportionally with the corresponding interference intensity coefficient as the scaling factor. The scaled treatment process templates are then used as the optimized treatment process templates corresponding to the pollutants, thereby obtaining the optimized treatment process templates corresponding to each pollutant element. Finally, all the optimized treatment process templates are uniformly mapped onto the same process flow axis to form a process treatment framework with internal coordination, suitable for the synergistic purification of multiple pollutants, as the synergistic purification process chain for waste liquid.

[0039] It should be noted that, in this embodiment, the interference intensity matrix represents a two-dimensional numerical matrix describing the degree of mutual influence between various pollutant elements under the same treatment environment. Each element of this matrix represents the interference intensity (i.e., cross-influence coefficient) of one pollutant element on another. This interference intensity matrix can comprehensively reflect the coexistence and interference relationship between pollutant elements, reveal their coupling effect in the purification process, and thus provide a quantitative basis for parameter control of the treatment process template and the construction of multi-pollutant synergistic treatment pathways. In this embodiment, the optimized treatment process template refers to the treatment scheme generated after dynamic adjustment and coordinated optimization of the key process parameters and inhibitory parameters in the original template.

[0040] In step 104, the weakening characteristics of each pollutant element in the waste liquid under the current purification state are determined, and the synergistic purification process chain is modified based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product, thereby obtaining the constrained treatment path of the waste liquid.

[0041] It should be noted that, in this application, the weakening characteristic refers to the comprehensive characterization of the degree of reduction and reaction stability of the residual state of the pollutant element in the waste liquid after the purification reaction of the current treatment cycle. Specifically, it is reflected in the purification attenuation rate between the initial concentration of the pollutant element and the residual concentration after treatment, as well as the reaction mitigation trend, residual activity intensity and interference effect on subsequent treatment steps of the element under specific reaction conditions, in order to reflect its dynamic purification response capability in the treatment path.

[0042] In some embodiments, determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state can be achieved by the following steps: Obtain the concentration data of each pollutant element in the waste liquid before and after purification treatment; The weakening characteristics of each pollutant element after purification are determined based on the concentration data of each pollutant element before and after purification treatment.

[0043] In specific implementation, firstly, the concentration data of each pollutant element in the waste liquid before and after purification treatment are obtained by mass spectrometry, which will not be elaborated here; then, the weakening characteristics of each pollutant element after purification are determined based on the concentration data of each pollutant element before and after purification treatment, that is: for each pollutant element, the concentration deviation of the pollutant element before and after purification treatment is taken as the weakening characteristics of the pollutant element after purification treatment, thereby obtaining the weakening characteristics of each pollutant element after purification.

[0044] In some embodiments, the synergistic purification process chain is modified based on all weakening characteristics and the reaction constraint amounts of the reaction products of each pollutant element during the purification reaction, thereby obtaining the constrained treatment path for the waste liquid. This can be achieved through the following steps: The weakening characteristics of each pollutant element are compared with the weakening characteristic threshold, and pollutant elements with weakening characteristics greater than the weakening characteristic threshold are extracted as calibrated pollutant elements. Determine the reaction constraint amount and cumulative amount of the reaction products of the calibrated pollutant element during the purification reaction; The inhibition requirement coefficient of the calibrated pollutant element is determined based on the reaction constraint and the cumulative amount. Based on the inhibition demand coefficient, the corresponding key process parameters and inhibition parameters in the collaborative purification process chain are adjusted to obtain the constrained treatment path for the waste liquid.

[0045] It should be noted that the constrained treatment path in this application refers to the treatment path for constraining and purifying pollutants in waste liquid. During the waste liquid treatment process, the types, concentrations, and reaction behaviors of pollutants in different batches of waste liquid fluctuate significantly. By introducing the weakening characteristics of pollutants and the amount of reaction constraint, the standard treatment path is adjusted in a targeted manner to obtain the constrained treatment path. This can effectively ensure that the treatment process can flexibly cope with complex combinations of pollutants and improve the process's adaptability to different waste liquid characteristics.

[0046] In practice, firstly, the weakening characteristics of each pollutant element are compared with the weakening characteristic threshold. Pollutant elements with weakening characteristics greater than the weakening characteristic threshold are extracted as calibration pollutant elements. These calibration pollutant elements are those with high interference and insufficient purification reaction. Secondly, the reaction constraint amount and cumulative amount of the reaction products of the calibration pollutant element during the purification reaction are determined. That is, the total amount of all reaction products of the calibration pollutant element during the purification reaction is taken as the cumulative amount. These all reaction products include the main reaction products (i.e., the products obtained after the pollutant element reacts with the purifying agent) and the by-reaction products (i.e., other accompanying reaction products). The amount of by-products of the calibrated pollutant element during the purification reaction is used as the reaction constraint. Then, the inhibition requirement coefficient of the calibrated pollutant element is determined based on the reaction constraint and the cumulative amount. That is, the quotient of the reaction constraint and the cumulative amount can be used as the inhibition requirement coefficient of the calibrated pollutant element. Finally, since the purification reaction of the pollutant element under the inhibition requirement coefficient is insufficient, the inhibition requirement coefficient is used as a proportional coefficient to proportionally expand and adjust the corresponding key process parameters and inhibition parameters in the synergistic purification process chain, and the adjusted synergistic purification process chain is used as the constraint treatment path for the waste liquid.

[0047] It should be noted that, in this embodiment, the labeled pollutant element refers to the pollutant element whose purification reaction is insufficient; in this embodiment, the reaction constraint amount refers to the number of by-products generated, and the cumulative amount refers to the amount of all reaction products; in this embodiment, the inhibition demand coefficient refers to the adjustment parameter that measures the interference suppression of pollutant elements in the purification reaction. The introduction of this inhibition demand coefficient can realize the dynamic correction and optimization control of the treatment path and is an important basis for constructing the constraint treatment path.

[0048] In step 105, the subsequently flowing waste liquid is constrained based on the constrained processing path.

[0049] In practice, the waste lithium battery recycling system uses the constrained treatment path as the basis for subsequent waste liquid treatment control, automatically loads the treatment process template contained in the constrained treatment path, and presets the parameters in the corresponding treatment process template before the waste liquid enters the waste lithium battery recycling system. This allows for more precise and stable purification operations on the subsequent inflowing waste liquid based on existing reaction constraints, ensuring that the treatment path can adapt to continuous fluctuations in pollutant components and potential by-product interference, thereby achieving simultaneous improvement in treatment efficiency, system stability, and emission compliance.

[0050] In another aspect, in some embodiments, this application provides a waste liquid treatment system for the recycling of waste lithium batteries, as referenced. Figure 4 The figure is a schematic diagram of a waste lithium battery recycling waste liquid treatment system according to some embodiments of this application. The waste lithium battery recycling waste liquid treatment system includes: a classification module 201, a processing module 202, and an execution module 203, which are described below: Classification module 201, in this application, is mainly used to classify the source of the waste liquid to be treated in the waste lithium battery recycling process and obtain the waste liquid source label of the waste liquid; Processing module 202, in this application, is mainly used to identify the multidimensional pollutants coexisting in the waste liquid based on the waste liquid source label, and to determine the cross-influence coefficient between different pollutants based on the treatment efficiency and benchmark purification reaction characteristics of each pollutant under the same purification agent treatment state. The processing module 202 is also used to construct a processing process template adapted to each pollutant element based on the reaction chain when each pollutant element is purified in the waste liquid, and then determine the synergistic purification process chain of the waste liquid based on all the cross-influence coefficients and the processing process templates adapted to each pollutant element. In addition, the processing module 202 is also used to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the synergistic purification process chain based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product, thereby obtaining the constraint treatment path of the waste liquid. The execution module 203 in this application is mainly used to perform constraint treatment on the subsequently flowing waste liquid based on the constraint processing path.

[0051] In addition, this application also provides a computer device, which includes a memory and a processor. The memory stores code, and the processor is configured to acquire the code and execute the above-described waste lithium battery recycling waste liquid treatment method.

[0052] In some embodiments, reference Figure 5The figure is a schematic diagram of the structure of a computer device for implementing a method for treating waste liquid from the recycling of waste lithium batteries, according to some embodiments of this application. The waste liquid treatment method for the recycling of waste lithium batteries in the above embodiments can be achieved through... Figure 5 The computer device shown is used to implement this, and the computer device includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.

[0053] The processor 301 can be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more devices used to control the execution of the waste lithium battery recycling waste liquid treatment method in this application.

[0054] The communication bus 302 can be used to transmit information between the aforementioned components.

[0055] The memory 303 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 303 may exist independently and be connected to the processor 301 via the communication bus 302. The memory 303 may also be integrated with the processor 301.

[0056] The memory 303 stores program code for executing the scheme of this application, and its execution is controlled by the processor 301. The processor 301 executes the program code stored in the memory 303. The program code may include one or more software modules. In the above embodiments, the determination of the waste liquid treatment method for recycling waste lithium batteries can be achieved by the processor 301 and one or more software modules in the program code in the memory 303.

[0057] Communication interface 304 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0058] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0059] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0060] In addition, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described method for treating waste liquid from recycled lithium batteries.

[0061] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0062] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for treating waste liquid from recycled lithium batteries, characterized in that, Includes the following steps: The waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain the waste liquid source label; Based on the waste liquid source label, the multidimensional pollutant elements coexisting in the waste liquid are identified, and the cross-influence coefficient between different pollutant elements is determined according to the treatment efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state. Based on the reaction chain of each pollutant element during the purification treatment of the waste liquid, a treatment process template adapted to each pollutant element is constructed, and then the synergistic purification process chain of the waste liquid is determined according to all the cross-influence coefficients and the treatment process templates adapted to each pollutant element. The weakening characteristics of each pollutant element in the waste liquid under the current purification state are determined, and the synergistic purification process chain is modified based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product. Thus, the constrained treatment path of the waste liquid is obtained. The waste liquid that subsequently flows in is constrained based on the constrained processing path. Specifically, determining the cross-influence coefficients between different pollutant elements based on their treatment efficiency and baseline purification reaction characteristics under the same purifying agent treatment state includes: Obtain the baseline treatment energy efficiency and baseline purification reaction characteristics of each pollutant element under the action of the purifying agent; The actual treatment efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifying agent were determined. For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency and the actual treatment energy efficiency corresponding to the pollutant element, and determine the characteristic deviation between the baseline purification reaction characteristics and the actual purification reaction characteristics corresponding to the pollutant element. The cross-interference amount of pollutant elements is determined based on the energy efficiency deviation and the characteristic deviation, and then the cross-interference amount of each pollutant element under the same purification agent treatment state is obtained. Specifically, the energy efficiency deviation and the characteristic deviation are normalized to between 0 and 1 according to the minimum-maximum normalization, and the weighted sum of the normalized energy efficiency deviation and the characteristic deviation is used as the cross-interference amount of pollutant elements. The cross-influence coefficient between each pair of pollutants is determined based on the cross-interference amount corresponding to each pair of pollutants. Specifically, the average value of the cross-interference amount corresponding to each pair of pollutants is used as the cross-influence coefficient between the two pollutants.

2. The method as described in claim 1, characterized in that, Based on the waste liquid source label, the multidimensional pollutants coexisting in the waste liquid specifically include: Access the reference database of pollutant elements in the waste lithium battery recycling process; Extract multiple pollutant elements corresponding to the waste liquid source label from the pollutant element reference database; All polluting elements are combined into a multidimensional polluting element coexisting in the waste liquid.

3. The method as described in claim 1, characterized in that, The specific steps for constructing a treatment process template adapted to each pollutant element based on the reaction chain during the purification treatment of the waste liquid include: For each pollutant element, analyze all chemical reaction steps and intermediate products involved in the purification process to form the reaction chain of that pollutant element. Identify the main reaction pathway and side reaction pathways in the reaction chain; Based on the main reaction path, the key process parameters for pollutants in the purification process are determined. Based on the aforementioned side reaction pathway, an inhibitory parameter for polluting elements in the purification process is added; Based on the key process parameters and the inhibition parameters, a treatment process template adapted to each pollutant element is generated, thereby obtaining a treatment process template adapted to each pollutant element.

4. The method as described in claim 1, characterized in that, Based on all the cross-influence coefficients and the appropriate treatment process templates for each pollutant element, the synergistic purification process chain for the waste liquid is determined to specifically include: An interference intensity matrix is ​​constructed based on the cross-influence coefficients corresponding to each pair of polluting elements; Based on the interference intensity matrix, the treatment process templates for each pollutant element are traversed, and the key process parameters and inhibition parameters in the treatment process templates are scaled proportionally to obtain the optimized treatment process templates for each pollutant element. A synergistic purification process chain for the waste liquid is generated based on all optimized treatment process templates.

5. The method as described in claim 1, characterized in that, Determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state specifically includes: During the current processing cycle, obtain the concentration data of each pollutant element in the waste liquid before and after purification treatment; The weakening characteristics of each pollutant element after purification are determined based on the concentration data of each pollutant element before and after purification treatment.

6. The method as described in claim 1, characterized in that, The waste liquid source labels can be classified into three categories according to the waste liquid treatment process stage: leaching waste liquid labels, washing waste liquid labels, and residual liquid mixture labels.

7. A waste lithium battery recycling waste liquid treatment system, wherein the waste lithium battery recycling waste liquid is treated using the method described in any one of claims 1 to 6, characterized in that, The system includes: The classification module is used to classify the source of the waste liquid to be treated in the waste lithium battery recycling process and obtain the waste liquid source label. The processing module is used to identify the multidimensional pollutants coexisting in the waste liquid based on the waste liquid source label, and to determine the cross-influence coefficient between different pollutants based on the treatment efficiency and benchmark purification reaction characteristics of each pollutant under the same purification agent treatment state. The processing module is also used to construct a processing process template adapted to each pollutant element based on the reaction chain when each pollutant element is purified in the waste liquid, and then determine the synergistic purification process chain of the waste liquid based on all the cross-influence coefficients and the processing process templates adapted to each pollutant element. The processing module is also used to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the synergistic purification process chain based on all the weakening characteristics and the reaction constraint amount of each pollutant element in the purification reaction product, thereby obtaining the constraint treatment path of the waste liquid. The execution module is used to perform constraint processing on the subsequently flowing waste liquid based on the constraint processing path.

8. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to retrieve the code and execute the waste lithium battery recycling waste liquid treatment method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the waste liquid treatment method for recycling waste lithium batteries as described in any one of claims 1 to 6.

Images