Waste lithium battery recovery waste liquid treatment system and method

Abstract

The invention provides a waste lithium battery recovery waste liquid treatment system and method. The method comprises the following steps: acquiring a waste liquid source label of to-be-treated waste liquid; determining a cross influence coefficient between different pollution elements based on the treatment energy efficiency of each pollution element under the treatment of the same purifying agent calibrated by the waste liquid source label and the reference purification reaction characteristics; constructing a treatment process template of each pollution element according to the reaction link of each pollution element, and determining a collaborative purification process chain of the waste liquid according to all the cross influence coefficients and the treatment process template of each pollution element; determining weakening characteristics of each pollution element in the waste liquid after purification, and correcting the collaborative purification process chain according to all the weakening characteristics in combination with the reaction constraint amount of a reaction product of each pollution element during purification reaction, so as to obtain a constraint treatment path of the waste liquid; and carrying out constraint treatment on the subsequently inflowing waste liquid based on the constraint treatment path. According to the technical scheme provided by the scheme, the treatment energy efficiency of the waste liquid can be improved under the coexistence influence of various pollution elements.

Description

Technical Field

[0001] The present application relates to the technical field of waste liquid treatment, and more specifically, to a waste liquid treatment system and method for recycling used lithium batteries. Background Art

[0002] With the acceleration of the industrialization process, various industrial production activities have generated a large amount of waste liquid. These waste liquids have complex compositions and often contain pollutants such as heavy metals, acids, alkalis, and organic matter. If they are directly discharged without proper treatment, they will cause serious pollution to the ecological environment such as soil and water bodies, 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 to cause secondary pollution. Therefore, the development of efficient, low-consumption, and environmentally friendly waste liquid treatment technologies to achieve standard pollutant emissions and resource recycling has become a key issue that needs to be overcome urgently.

[0003] In existing waste liquid treatment, waste liquid treatment is based on the differences in the physical, chemical and biological properties of pollutants, and purification is achieved through physical, chemical and membrane separation technologies. Physical treatment uses filtration, centrifugation, sedimentation, and flotation methods to separate suspended matter, particulate matter or oils; chemical treatment changes the properties of pollutants by adding reagents to cause neutralization, redox, flocculation and other reactions to remove impurities; membrane separation technology uses the selective permeability of semi-permeable membranes to intercept heavy metal ions and large molecular organic matter to achieve separation and purification. However, in the treatment of waste liquid recycled from used lithium batteries, the waste liquid usually contains a variety of complex polluting elements, which causes mutual interference when multiple polluting elements coexist in the waste liquid. When the waste liquid is purified in real time, the reaction interference of the polluting elements will also cause secondary pollution, which in turn leads to low energy efficiency of waste liquid treatment. Therefore, how to improve the treatment efficiency of waste liquid under the influence of the coexistence of multiple polluting elements has become a difficult problem facing the industry. Summary of the Invention

[0004] The present application provides a waste liquid treatment system and method for recycling used lithium batteries, which can improve the treatment efficiency of waste liquid under the influence of the coexistence of multiple polluting elements.

[0005] In a first aspect, the present application provides a method for treating waste liquid from recycled lithium batteries, comprising the following steps: Classify the sources of waste liquid to be processed in the waste lithium battery recycling process to obtain waste liquid source labels of the waste liquid; Based on the waste liquid source label, the multi-dimensional pollutant elements coexisting in the waste liquid are calibrated, and the cross-influence coefficients between different pollutant elements are determined based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; Constructing a treatment process template adapted for each pollutant element based on the reaction chain of each pollutant element when it is purified in the waste liquid, and then determining a collaborative purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element; Determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and modifying the collaborative purification process chain based on all the weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining a constrained treatment path for the waste liquid; The waste liquid that subsequently flows in is subjected to constraint processing based on the constraint processing path.

[0006] In some embodiments, the multi-dimensional pollutant elements coexisting in the waste liquid are calibrated based on the waste liquid source label, specifically including: Calling the reference database of pollutant elements in the waste lithium battery recycling process; Extracting a plurality of pollutant elements corresponding to the waste liquid source label from the pollutant element reference database; All polluting elements are combined into multi-dimensional polluting elements coexisting in the waste liquid.

[0007] In some embodiments, determining the cross-influence coefficients between different polluting elements based on the treatment efficiency and baseline purification reaction characteristics of each polluting element under the same purification agent treatment state specifically includes: Obtaining the benchmark treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the action of the purifier; Determine the actual treatment energy efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifier; For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency corresponding to the pollutant element and the actual treatment energy efficiency, and determine the characteristic deviation between the baseline purification reaction characteristic corresponding to the pollutant element and the actual purification reaction characteristic; Determining the cross-interference amount of the polluting elements according to the energy efficiency deviation and the characteristic deviation, and then obtaining the cross-interference amount of each polluting element under the same purification agent treatment state; The cross-influence coefficient between each two polluting elements is determined according to the cross-interference amount corresponding to each two polluting elements.

[0008] In some embodiments, constructing a treatment process template adapted for each pollutant element based on a reaction chain when each pollutant element is purified in the waste liquid specifically includes: For each pollutant element, analyze all chemical reaction steps and intermediate products involved in the purification process to form a reaction chain for the pollutant element; Identifying a main reaction path and a side reaction path in the reaction chain; Determining key process parameters of the pollutant elements in the purification process based on the main reaction path; Adding inhibitory parameters for polluting elements in purification treatment according to the side reaction pathway; A processing template adapted to the polluting element is generated according to the key process parameters and the inhibitory parameters, thereby obtaining a processing template adapted to each polluting element.

[0009] In some embodiments, determining the coordinated purification process chain of the wastewater based on all cross-influence coefficients and the treatment process templates adapted for each pollutant element specifically includes: Construct an interference intensity matrix based on the cross-influence coefficients corresponding to each pair of pollution elements; Traversing the processing templates of each pollution element according to the interference intensity matrix, and geometrically scaling the key process parameters and inhibitory parameters in the processing templates to obtain the optimized processing templates corresponding to each pollution element; A collaborative 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: In the current treatment cycle, obtaining concentration data of each pollutant element in the waste liquid before and after purification treatment; The weakening characteristics of each polluting element after purification are determined based on the concentration data of each polluting element before and after purification.

[0011] In some embodiments, the waste liquid source labels can classify waste liquid into three categories according to the waste liquid treatment process stage: leaching waste liquid labels, washing waste liquid labels, and residual liquid mixed liquid labels.

[0012] In a second aspect, the present application provides a waste liquid treatment system for recycling used lithium batteries, comprising: A classification module is used to classify the source of the waste liquid to be processed in the waste lithium battery recycling process and obtain the waste liquid source label of the waste liquid; a processing module for calibrating the multi-dimensional pollutant elements coexisting in the waste liquid based on the waste liquid source tag, and determining the cross-influence coefficient between different pollutant elements based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; The processing module is further configured to construct a treatment process template adapted for each pollutant element based on a reaction chain when each pollutant element is purified in the waste liquid, and further determine a collaborative purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element; The processing module is further configured to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the collaborative purification process chain based on all the weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining a constrained treatment path for the waste liquid; An execution module is used to perform constraint processing on the waste liquid that subsequently flows in based on the constraint processing path.

[0013] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned method for treating waste liquid from recycled used lithium batteries.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for treating waste liquid from recycled used lithium batteries.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: In the waste liquid treatment system and method for recycling used lithium batteries provided in the present application, first, the source of the waste liquid to be treated in the waste lithium battery recycling process is classified to obtain the waste liquid source label of the waste liquid; secondly, the multi-dimensional pollutant elements coexisting in the waste liquid are calibrated based on the waste liquid source label, and the cross-influence coefficient between different pollutant elements is determined according to the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; further, a treatment process template adapted for each pollutant element is constructed according to the reaction chain when each pollutant element is purified in the waste liquid, and then the collaborative purification process chain of the waste liquid is determined according to all the cross-influence coefficients and the treatment process template adapted for each pollutant element; then, the weakening characteristics of each pollutant element in the waste liquid under the current purification state are determined, and the collaborative purification process chain is corrected according to all the weakening characteristics combined with the reaction constraint amount of the reaction product of each pollutant element during the purification reaction, thereby obtaining the constrained treatment path of the waste liquid; finally, the subsequent inflowing waste liquid is constrained based on the constrained treatment path.

[0016] It can be seen that the present application can improve the treatment energy efficiency of waste liquid under the influence of the coexistence of multiple polluting elements; first, the waste liquid to be treated in the waste lithium battery recycling process is classified by source, and the waste liquid source label of the waste liquid is obtained to infer the type of polluting factors coexisting in the waste liquid, and guide the subsequent pollution judgment and process modeling; secondly, the multi-dimensional polluting elements coexisting in the waste liquid are calibrated based on the waste liquid source label, and the cross-influence coefficients between different polluting elements are determined according to the treatment energy efficiency and benchmark purification reaction characteristics of each polluting element under the same purification agent treatment state, which can effectively identify the mutual interference relationship between different pollutants under the same purification conditions, thereby guiding the reasonable design of the treatment sequence, optimizing the purification agent selection and treatment parameters, avoiding the secondary pollution caused by the mutual interference when multiple polluting elements coexist, and improving the overall purification efficiency and system stability; further, according to the treatment of each polluting element in the waste liquid, the cross-influence coefficients between different polluting elements are determined according to the treatment energy efficiency and benchmark purification reaction characteristics of each polluting element under the same purification agent treatment state, and the cross-influence coefficients between different pollutants under the same purification conditions can be effectively identified, thereby guiding the reasonable design of the treatment sequence, optimizing the purification agent selection and treatment parameters, avoiding the secondary pollution caused by the mutual interference when multiple polluting elements coexist, and improving the overall purification efficiency and system stability. The reaction chain during purification treatment constructs a treatment process template adapted for each pollutant element, and then determines the collaborative purification process chain of the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element, ensuring that multiple pollutants can be efficiently and stably removed collaboratively under unified process conditions, and guiding the process execution of subsequent treatment cycles; then, the collaborative purification process chain is corrected based on the weakening characteristics of each pollutant element in the waste liquid after purification combined with the reaction constraint amount of the reaction product of each pollutant element during the purification reaction, and then the constrained treatment path of the waste liquid is obtained, which can effectively ensure that the treatment process can flexibly respond to complex pollution combinations and improve the process's adaptability to different waste liquid characteristics; finally, the subsequent inflowing waste liquid is constrained based on the constrained treatment path; in summary, the technical solution provided by the present application can improve the treatment energy efficiency of waste liquid under the influence of the coexistence of multiple pollutant elements. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a method for treating waste liquid from recycled used lithium batteries according to some embodiments of the present application; Figure 2 is an exemplary flow chart for determining multidimensional pollution elements according to some embodiments of the present application; Figure 3 is an exemplary flow chart of determining a processing template according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a waste liquid treatment system for recycling used lithium batteries according to some embodiments of the present application; Figure 5 It is a structural schematic diagram of a computer device for implementing a method for treating waste liquid from recycled used lithium batteries according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 , which is an exemplary flow chart of a method for treating waste liquid from recycled waste lithium batteries according to some embodiments of the present application. The method for treating waste liquid from recycled waste lithium batteries mainly includes the following steps: In step 101, the waste liquid to be processed in the waste lithium battery recycling process is classified by source to obtain a waste liquid source label of the waste liquid.

[0020] In specific implementation, the waste liquid to be treated in the waste lithium battery recycling process is classified by source to obtain the waste liquid source label of the waste liquid. The waste liquid source label can divide the waste liquid into three categories according to the waste liquid treatment process stage: leaching waste liquid label, washing waste liquid label and residual liquid mixed liquid label. No further details will be given here.

[0021] It should be noted that the waste liquid source label in this application represents the source identification of the waste liquid to be treated in the waste lithium battery recycling process. By determining the waste liquid source label, the types of coexisting pollution factors 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 multi-dimensional pollutant elements coexisting in the waste liquid are calibrated based on the waste liquid source label, and the cross-influence coefficients between different pollutant elements are determined according to the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state.

[0023] It should be noted that the multidimensional polluting elements in this application refer to multiple types of polluting factors that exist simultaneously in the waste liquid to be treated during the recycling of waste lithium batteries. The multidimensional polluting 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, adhesive by-products), chelating agents or reaction intermediates and other components. There are significant differences in the physical and chemical properties between these polluting elements.

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

[0025] In the specific implementation, first, the pollutant element reference database in the waste lithium battery recycling process is called. The pollutant element reference database has recorded the common pollutant factor types and their probability distribution in the waste liquid corresponding to each typical process node based on a large amount of experimental data and engineering practice; secondly, multiple pollutant elements corresponding to the waste liquid source label are extracted from the pollutant element reference database; finally, all the pollutant elements are combined into multi-dimensional pollutant elements coexisting in the waste liquid.

[0026] It should be noted that the pollutant element reference database in this embodiment represents a pollutant element data resource library pre-constructed in the recycling and processing of waste lithium batteries. The pollutant element reference database is used to store and associate the types, concentration ranges, co-occurrence patterns and reaction characteristics of pollutant elements present in the waste liquid generated in different process links; the pollutant elements in this application refer to the material components contained in the waste liquid that are harmful to the environment.

[0027] In some embodiments, the following steps may be used to determine the cross-influence coefficients between different polluting elements based on the treatment efficiency of each polluting element under the same purification agent treatment state and the baseline purification reaction characteristics, namely: Obtaining the benchmark treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the action of the purifier; Determine the actual treatment energy efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifier; For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency corresponding to the pollutant element and the actual treatment energy efficiency, and determine the characteristic deviation between the baseline purification reaction characteristic corresponding to the pollutant element and the actual purification reaction characteristic; Determining the cross-interference amount of the polluting elements according to the energy efficiency deviation and the characteristic deviation, and then obtaining the cross-interference amount of each polluting element under the same purification agent treatment state; The cross-influence coefficient between each two polluting elements is determined according to the cross-interference amount corresponding to each two polluting elements.

[0028] It should be noted that the cross-influence coefficient in this application indicates the degree to which multiple polluting elements affect each other's purification efficiency due to differences in reaction mechanisms under the same purification conditions. In waste liquid 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 purifiers and treatment parameters, avoiding reaction path conflicts and by-product generation, and improving the overall purification efficiency and system stability.

[0029] In specific implementation, first, the benchmark treatment energy efficiency (i.e., removal rate) and benchmark purification reaction characteristics (i.e., reaction rate) of each pollutant element under the action of the purifier are obtained through existing experimental data or literature; secondly, the actual treatment energy efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifier are determined by existing measurement technology. For example, the actual treatment energy efficiency can be measured by atomic absorption spectroscopy, 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 repeated here; further, for each pollutant element, the absolute difference between the benchmark treatment energy efficiency corresponding to the pollutant element and the actual treatment energy efficiency is taken as the energy efficiency deviation, and the energy efficiency deviation represents the deviation between the benchmark treatment energy efficiency and the actual treatment energy efficiency, and the benchmark purification reaction corresponding to the pollutant element is taken as the energy efficiency deviation. The absolute difference between the characteristic and the actual purification reaction characteristic is taken as the characteristic deviation, and the characteristic deviation represents the deviation between the benchmark 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, and the weighted sum of the normalized energy efficiency deviation and the characteristic deviation is used as the cross-interference amount of the pollution element, thereby obtaining the cross-interference amount of each pollution element under the same purification agent treatment state; finally, since the cross-interference amount of each pollution element is determined by the energy efficiency deviation and the characteristic deviation in the coexistence state, in order to measure the cross-influence coefficient between the two pollution elements, for each two pollution elements, the average of the cross-interference amounts corresponding to the two pollution elements can be used as the cross-influence coefficient between the two pollution elements, thereby obtaining the cross-influence coefficient between different pollution elements.

[0030] It should be noted that, in this embodiment, the benchmark treatment energy efficiency represents the theoretical optimal removal effect achieved when a single pollutant is treated with a specified purifier without interference from other pollutants; the quasi-purification reaction characteristics in this embodiment represent the ideal reaction behavior parameters exhibited by a single pollutant when reacting with a specified purifier without coexisting interference; the actual treatment energy efficiency in this embodiment represents the actual optimal removal effect achieved when a single pollutant is treated with a specified purifier under conditions of interference from other pollutants; the actual purification reaction characteristics in this embodiment represent the actual reaction behavior parameters exhibited by a single pollutant when reacting with a specified purifier under conditions of coexisting interference from multiple pollutants; the cross-interference amount in this embodiment represents the quantitative result of the impact of the coexistence of multiple pollutants under the same purifier treatment conditions, resulting in the treatment behavior of a certain pollutant deviating from its benchmark state; the cross-interference amount reflects the degree of decrease in treatment energy efficiency and change in reaction characteristics of the pollutant in the actual waste liquid system due to the presence of other pollutants, and is an important parameter for measuring the strength of mutual interference between different pollutants.

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

[0032] It should be noted that the reaction chain in this application represents the collection of all chemical reaction paths and related transformation processes that a certain pollutant element undergoes under specified treatment conditions during the waste liquid purification process, including the entire process from the original form, through the generation and transformation of a series of intermediate products, and finally forming 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 path (i.e., the by-product generation or reaction deviation path). By obtaining the reaction chain, it can be used to identify key reaction steps and formulate corresponding treatment control strategies, which is the basis for forming a pollutant element treatment process template.

[0033] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart for determining a treatment process template according to some embodiments of the present application. In this embodiment, constructing a treatment process template adapted for each pollutant element based on the reaction chain when each pollutant element is purified in the waste liquid can be implemented by 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 a reaction chain for the pollutant element; First, in step 1032, the main reaction path and the side reaction path in the reaction chain are identified; Next, in step 1033, key process parameters of the contaminant elements in the purification process are determined based on the main reaction pathway; Then, in step 1034, an inhibitory parameter of the pollutant element in the purification process is added according to the side reaction path; Finally, in step 1035, a processing template adapted to the polluting element is generated according to the key process parameters and the inhibitory parameters, thereby obtaining a processing template adapted to each polluting element.

[0034] In specific implementation, first, for each pollutant element, all chemical reaction steps and intermediate products involved in the purification treatment of the pollutant element are analyzed through chemical reaction mechanism to form a reaction chain of the pollutant element. For example, when treating lead-containing waste liquid, the main path of the reaction between lead ions and sulfides to form PbS precipitation can be clarified through the chemical reaction mechanism, and the by-product path of generating PbO2 in an oxidizing environment can be recorded at the same time; secondly, the main reaction path and the side reaction path in the reaction chain are identified, that is: the reaction energy barrier of each reaction path in the reaction chain is obtained, the reaction energy barrier represents the minimum energy obstacle that needs to be overcome for the reactant to be converted into the product, and the reaction path with a reaction energy barrier less than a threshold is taken as the main reaction path, and the reaction path with a reaction energy barrier greater than or equal to the threshold is taken as the side reaction path. The threshold can be set according to actual needs and is not limited here; further, based on the main reaction The key process parameters of the polluting elements in the purification treatment are determined by the path, that is, the optimal pH value and the optimal purifier addition concentration under the main reaction path state can be used as the key process parameters of the polluting elements in the purification treatment; then, the inhibitory parameters of the polluting elements in the purification treatment are added according to the side reaction path, that is, by analyzing the inducement and reaction conditions of the side reaction path, the optimal chelating dosage set by expert knowledge is used as the inhibitory parameter of the polluting elements in the purification treatment; finally, the key process parameters in the main reaction path and the inhibitory parameters of the side reaction path are used to generate a treatment process template adapted to the polluting elements in a reaction sequence logic manner, and then the treatment process template adapted to each polluting element is obtained. The reaction sequence logic refers to a treatment sequence rule system established for multiple reaction steps and their sequence relationship of a certain polluting element in the waste liquid purification process, which will not be repeated here.

[0035] It should be noted that the main reaction pathway in this embodiment represents the chemical reaction sequence experienced during the optimal removal process of the pollutant element purification treatment, including the reaction route starting from the initial form of the pollutant element, through the intermediate product and finally converted into a stable product. The main reaction pathway embodies the core mechanism on which the efficient treatment of pollutants depends, and generally has the characteristics of fast reaction rate, few by-products, and low energy consumption. It is the target pathway that is prioritized and enhanced in constructing the treatment process template; the side reaction pathway in this embodiment represents the non-chemical reaction sequence induced in the pollutant element purification process, in addition to the main reaction pathway, which is not conducive to the removal of the target pollutant. This side reaction pathway is usually triggered by secondary factors in the reaction environment and can cause the pollutant element to be converted into a compound with enhanced solubility or form an intermediate product that is 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 the side reaction pathway to improve the purification effect and system stability; the key process parameters in this embodiment represent the core condition parameters set to ensure the efficient conversion of the main reaction pathway and the removal of the target pollutant; the limiting parameters in this embodiment represent the additive parameters specially set to suppress the occurrence of the side reaction pathway and avoid interference with the main reaction pathway. The treatment process template in this application represents a set of executable treatment solutions constructed for removing polluting elements in waste liquid purification treatment. The treatment process template integrates the core information of the main reaction path and side reaction path reactions that control the polluting elements. The treatment process template is based on the reaction chain of the polluting elements and is formed through experimental verification and deduction. It has the characteristics of strong targeting, high repeatability, and convenient rapid process deployment and dynamic adjustment. It is an important basic unit for realizing the coordinated treatment of multiple pollutants and optimization of treatment paths.

[0036] In some embodiments, determining the coordinated purification process chain of the wastewater based on all cross-influence coefficients and the treatment process templates adapted to each pollutant element can be achieved by the following steps, namely: Construct an interference intensity matrix based on the cross-influence coefficients corresponding to each pair of pollution elements; Traversing the processing templates of each pollution element according to the interference intensity matrix, and geometrically scaling the key process parameters and inhibitory parameters in the processing templates to obtain the optimized processing templates corresponding to each pollution element; A collaborative purification process chain for the waste liquid is generated based on all optimized treatment process templates.

[0037] It should be noted that the collaborative purification process chain in this application represents a treatment process scheme with overall synergy in the purification treatment of multiple polluting elements in waste liquid. Specifically, the collaborative purification process chain is based on the cross-influence coefficient between each polluting element and its adapted treatment process template, and is a set of standardized treatment process schemes constructed through parameter coordination and optimization adjustment. The collaborative 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 collaboratively under unified process conditions. The collaborative 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 of subsequent treatment cycles. It is the core basis for realizing intelligent and dynamic treatment and regulation in multi-source pollution systems.

[0038] In the specific implementation, first, the cross-influence coefficient corresponding to each pair of polluting elements in the waste liquid is normalized and then numerically constructed into an interference intensity matrix, and each element in the matrix represents the degree of interference caused by the polluting element on the treatment effect of another polluting element (that is, the normalized cross-influence coefficient is used as the interference intensity coefficient to characterize the degree of interference caused by the polluting element on the treatment effect of another polluting element); secondly, the treatment process templates of each polluting element are traversed according to the interference intensity matrix, and the key process parameters and inhibitory parameters in the treatment process template are proportionally scaled with the corresponding interference intensity coefficient as the scaling coefficient, and the scaled treatment process template is used as the optimized treatment process template corresponding to the polluting element, and then the optimized treatment process template corresponding to each polluting element is obtained; finally, all the optimized treatment process templates are uniformly mapped to the same process flow axis to form a process treatment framework with internal coordination and suitable for collaborative purification of multiple pollutants as the collaborative purification process chain of waste liquid.

[0039] It should be noted that, in this embodiment, the interference intensity matrix represents a two-dimensional numerical matrix that describes the degree of mutual influence between various polluting elements under the same treatment environment. Each element of the matrix represents the interference intensity of one polluting element on another polluting element (i.e., the cross-influence coefficient). Through this interference intensity matrix, the coexistence interference relationship between polluting elements can be fully reflected, and their coupling effect in the purification process can be revealed, thereby providing a quantitative basis for the parameter regulation of the treatment process template and the construction of a multi-pollutant collaborative treatment path; in this embodiment, the optimized treatment process template represents that the optimized treatment process template refers to the treatment plan 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 collaborative purification process chain is corrected based on all the weakening characteristics combined with the reaction constraint amount of the reaction product of each pollutant element during the purification reaction, thereby obtaining the constrained treatment path of the waste liquid.

[0041] It should be noted that the weakening feature in this application refers to the comprehensive characterization of the reduction degree and reaction stability of the residual state of the polluting element in the waste liquid after the purification reaction of the current treatment cycle, which is specifically reflected in the purification attenuation rate between the initial concentration of the polluting element and the residual concentration after treatment, as well as the reaction relief trend, residual activity intensity and interference effect of the element on subsequent treatment steps under specific reaction conditions, which is used 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 using the following steps, namely: Obtaining concentration data of each pollutant element in the waste liquid before and after purification; The weakening characteristics of each polluting element after purification are determined based on the concentration data of each polluting element before and after purification.

[0043] In specific implementation, first, the concentration data of each pollutant element in the waste liquid before and after purification is obtained by mass spectrometry, which will not be repeated 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, that is: for each pollutant element, the concentration deviation of the pollutant element before and after purification is used as the weakening characteristic of the pollutant element after purification, and then the weakening characteristic of each pollutant element after purification is obtained.

[0044] In some embodiments, the collaborative purification process chain is modified based on all weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining the constrained treatment path of the waste liquid. This can be achieved by the following steps, namely: Compare the weakening characteristics of each pollution element with the weakening characteristic threshold, and extract the pollution elements whose weakening characteristics are greater than the weakening characteristic threshold as calibration pollution elements; Determining the reaction constraint amount and cumulative amount of the reaction product of the calibration pollutant element during the purification reaction; determining a suppression requirement coefficient of the calibration pollutant element according to the reaction constraint amount and the cumulative amount; The corresponding key process parameters and inhibitory parameters in the collaborative purification process chain are adjusted according to the inhibition demand coefficient to obtain the constrained treatment path of the waste liquid.

[0045] It should be noted that the constrained treatment path in this application represents a treatment path for constrained purification of polluting elements in waste liquid. During the waste liquid treatment process, there are significant fluctuations in the types, concentrations and reaction behaviors of polluting elements in different batches of waste liquid. By introducing the weakening characteristics and reaction constraints of the polluting elements, the standard treatment path is adjusted in a targeted manner to obtain a constrained treatment path, which can effectively ensure that the treatment process can flexibly respond to complex pollution combinations and improve the process's adaptability to different waste liquid characteristics.

[0046] In a specific implementation, first, the weakening characteristics of each pollutant element are compared with the weakening characteristic threshold, and the pollutant elements with weakening characteristics greater than the weakening characteristic threshold are extracted as calibration pollutant elements, and the calibration pollutant elements are pollutant elements with high interference and insufficient purification reaction; secondly, the reaction constraint amount and cumulative amount of the reaction products of the calibration pollutant elements during the purification reaction are determined, that is: the total amount of all reaction products of the calibration pollutant elements during the purification reaction is taken as the cumulative amount, and all reaction products include main reaction products (that is, products obtained after the pollutant elements react with the purifier) ​​and side reaction products (that is, other accompanying reaction products). ), the amount of side reaction products of the calibrated pollutant element during the purification reaction is used as the reaction constraint; then, the inhibition demand coefficient of the calibrated pollutant element is determined according to 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 demand coefficient of the calibrated pollutant element; finally, since the purification reaction of the pollutant element under the corresponding inhibition demand coefficient is insufficient, the inhibition demand coefficient is used as a proportional coefficient to proportionally expand and adjust the corresponding key process parameters and inhibitory parameters in the collaborative purification process chain, and the adjusted collaborative purification process chain is used as the constrained treatment path of the waste liquid.

[0047] It should be noted that the calibrated pollutant elements in this embodiment represent pollutant elements that are identified as insufficient in the purification reaction; the reaction constraint amount in this embodiment represents the amount of by-products produced, and the cumulative amount represents the amount of all reaction products; the suppression demand coefficient in this embodiment represents an adjustment parameter that measures the need for interference suppression of pollutant elements in the purification reaction. The introduction of the suppression demand coefficient can realize dynamic correction and optimization control of the processing path, and is an important basis for constructing a constrained processing path.

[0048] In step 105, the waste liquid that subsequently flows in is subjected to constraint processing based on the constraint processing path.

[0049] In specific implementation, the waste liquid recycling system for used lithium batteries uses the constrained processing path as the basis for subsequent waste liquid processing control, automatically loads the processing process template contained in the constrained processing path, and completes the preset parameters in the corresponding processing process template before the waste liquid enters the waste liquid recycling system for used lithium batteries, thereby performing more accurate and stable purification operations on the subsequent inflowing waste liquid based on the existing reaction constraints, ensuring that the processing path can adapt to the continuous fluctuations of polluting components and potential by-product interference, and achieving simultaneous improvement in processing efficiency, system stability and emission compliance.

[0050] In addition, in another aspect of the present application, in some embodiments, the present application provides a waste liquid treatment system for recycling waste lithium batteries, referring to Figure 4 This figure is a schematic diagram of the structure of a waste liquid treatment system for recycling used lithium batteries according to some embodiments of the present application. The waste liquid treatment system for recycling used lithium batteries includes: a classification module 201, a processing module 202, and an execution module 203, which are described as follows: Classification module 201, in this application, classification module 201 is mainly used to classify the source of the waste liquid to be processed 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 calibrate the multi-dimensional pollutant elements coexisting in the waste liquid based on the waste liquid source label, and determine the cross-influence coefficient between different pollutant elements based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; The processing module 202 is further configured to construct a treatment process template adapted for each pollutant element based on a reaction chain when each pollutant element is purified in the waste liquid, and further determine a coordinated purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element; In addition, the processing module 202 is further configured to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the collaborative purification process chain based on all the weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining a constrained treatment path for the waste liquid. The execution module 203 in this application is mainly used to perform constraint processing on the waste liquid that subsequently flows in based on the constraint processing path.

[0051] In addition, the present application also provides a computer device, which includes a memory and a processor, the memory storing a code, and the processor being configured to obtain the code and execute the above-mentioned method for treating waste liquid from recycled used lithium batteries.

[0052] In some embodiments, reference Figure 5, which is a schematic diagram of the structure of a computer device for implementing a waste liquid treatment method for recycling waste lithium batteries according to some embodiments of the present application. The waste liquid treatment method for recycling waste lithium batteries in the above embodiment can be achieved by Figure 5 The computer device shown in FIG3 is implemented as shown in FIG3 , which 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), or an application-specific integrated circuit (ASIC) or one or more processors for controlling the execution of the waste liquid treatment method for recycling used lithium batteries in this application.

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

[0055] Memory 303 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, 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. Memory 303 may be independent and connected to processor 301 via communication bus 302. Memory 303 may also be integrated with processor 301.

[0056] Memory 303 is used to store program code for executing the solution of the present application, and is controlled by processor 301 for execution. Processor 301 is used to execute the program code stored in memory 303. The program code may include one or more software modules. The determination of the waste liquid treatment method for recycled waste lithium batteries in the above embodiment can be implemented by processor 301 and one or more software modules in the program code stored in memory 303.

[0057] The communication interface 304 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0058] In a specific implementation, as an 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. A processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0059] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0060] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned method for treating waste liquid from recycled used lithium batteries.

[0061] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0062] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for treating waste liquid from recycled waste lithium batteries, characterized in that: The steps include: Classify the sources of waste liquid to be processed in the waste lithium battery recycling process to obtain waste liquid source labels of the waste liquid; Based on the waste liquid source label, the multi-dimensional pollutant elements coexisting in the waste liquid are calibrated, and the cross-influence coefficients between different pollutant elements are determined based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; Constructing a treatment process template adapted for each pollutant element based on the reaction chain of each pollutant element when it is purified in the waste liquid, and then determining a collaborative purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element; Determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and modifying the collaborative purification process chain based on all the weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining a constrained treatment path for the waste liquid; The waste liquid that subsequently flows in is subjected to constraint processing based on the constraint processing path.

2. The method according to claim 1, wherein The multi-dimensional pollutant elements coexisting in the waste liquid are calibrated based on the waste liquid source label and specifically include: Calling the reference database of pollutant elements in the waste lithium battery recycling process; Extracting a plurality of pollutant elements corresponding to the waste liquid source label from the pollutant element reference database; All polluting elements are combined into multi-dimensional polluting elements coexisting in the waste liquid.

3. The method according to claim 1, wherein The cross-influence coefficients between different pollutants are determined based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant under the same purification agent treatment state, including: Obtaining the benchmark treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the action of the purifier; Determine the actual treatment energy efficiency and actual purification reaction characteristics of each pollutant element in the waste liquid under the treatment state of the purifier; For each pollutant element, determine the energy efficiency deviation between the baseline treatment energy efficiency corresponding to the pollutant element and the actual treatment energy efficiency, and determine the characteristic deviation between the baseline purification reaction characteristic corresponding to the pollutant element and the actual purification reaction characteristic; Determining the cross-interference amount of the polluting elements according to the energy efficiency deviation and the characteristic deviation, and then obtaining the cross-interference amount of each polluting element under the same purification agent treatment state; The cross-influence coefficient between each two polluting elements is determined according to the cross-interference amount corresponding to each two polluting elements.

4. The method according to claim 1, wherein Constructing a treatment process template adapted for each pollutant element according to the reaction chain of each pollutant element when it is purified in the waste liquid specifically includes: For each pollutant element, analyze all chemical reaction steps and intermediate products involved in the purification process to form a reaction chain for the pollutant element; Identifying a main reaction path and a side reaction path in the reaction chain; Determining key process parameters of the pollutant elements in the purification process based on the main reaction path; Adding inhibitory parameters for polluting elements in purification treatment according to the side reaction pathway; A processing template adapted to the polluting element is generated according to the key process parameters and the inhibitory parameters, thereby obtaining a processing template adapted to each polluting element.

5. The method according to claim 1, wherein The coordinated purification process chain of the waste liquid is determined based on all cross-influence coefficients and the treatment process template adapted to each pollutant element, specifically including: Construct an interference intensity matrix based on the cross-influence coefficients corresponding to each pair of pollution elements; Traversing the processing templates of each pollution element according to the interference intensity matrix, and geometrically scaling the key process parameters and inhibitory parameters in the processing templates to obtain the optimized processing templates corresponding to each pollution element; A collaborative purification process chain for the waste liquid is generated based on all optimized treatment process templates.

6. The method according to claim 1, wherein Determining the weakening characteristics of each pollutant element in the waste liquid under the current purification state specifically includes: In the current treatment cycle, obtaining concentration data of each pollutant element in the waste liquid before and after purification treatment; The weakening characteristics of each polluting element after purification are determined based on the concentration data of each polluting element before and after purification.

7. The method according to claim 1, wherein The waste liquid source labels can classify waste liquid into three categories according to the waste liquid treatment process stage: leaching waste liquid labels, washing waste liquid labels and residual liquid mixed liquid labels.

8. A waste liquid treatment system for recycling used lithium batteries, characterized in that: include: A classification module is used to classify the source of the waste liquid to be processed in the waste lithium battery recycling process and obtain the waste liquid source label of the waste liquid; a processing module for calibrating the multi-dimensional pollutant elements coexisting in the waste liquid based on the waste liquid source tag, and determining the cross-influence coefficient between different pollutant elements based on the treatment energy efficiency and benchmark purification reaction characteristics of each pollutant element under the same purification agent treatment state; The processing module is further configured to construct a treatment process template adapted for each pollutant element based on a reaction chain when each pollutant element is purified in the waste liquid, and further determine a collaborative purification process chain for the waste liquid based on all cross-influence coefficients and the treatment process template adapted for each pollutant element; The processing module is further configured to determine the weakening characteristics of each pollutant element in the waste liquid under the current purification state, and to modify the collaborative purification process chain based on all the weakening characteristics combined with the reaction constraints of the reaction products of each pollutant element during the purification reaction, thereby obtaining a constrained treatment path for the waste liquid; An execution module is used to perform constraint processing on the waste liquid that subsequently flows in based on the constraint processing path.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the method for treating waste liquid from recycled used lithium batteries as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for treating waste liquid from recycled used lithium batteries as described in any one of claims 1 to 7 is implemented.

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