Intelligent regulation and control method based on lithium iron phosphate waste multi-element migration kinetic model

Abstract

The invention relates to the technical field of lithium battery waste recovery, and provides an intelligent regulation and control method based on a lithium iron phosphate waste multi-element migration kinetic model, and the method comprises the steps: obtaining a multi-element characteristic parameter sequence of waste and a technological parameter sequence of a recovery reaction system through pretreatment equipment; carrying out migration feature extraction on the multi-element feature parameters to obtain element migration state information; when the information meets a preset regulation and control triggering condition, generating a multi-element coordinated regulation and control strategy identifier in combination with the process parameter sequence; and generating a real-time regulation and control instruction according to the identifier and sending the real-time regulation and control instruction to the process execution equipment so as to dynamically adjust parameters of each process unit in the recovery reaction system. The invention can improve the element recovery efficiency and ensure the stability of the reaction system.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery waste recycling, and more specifically, the present invention relates to an intelligent regulation method based on a multi-element migration kinetic model of lithium iron phosphate waste. Background Art

[0002] With the rapid development of industries such as new energy vehicles, lithium iron phosphate batteries have been widely used, and their recycling has become an important topic. Lithium iron phosphate waste contains various valuable metal elements, such as iron, lithium, phosphorus, etc. Through effective recycling processes, the reuse of resources can be achieved, reducing the impact on the environment. Currently, the recycling of lithium iron phosphate waste usually adopts methods such as hydrometallurgy, and the separation and extraction of valuable metal elements are realized through a series of chemical reactions. During the recycling process, the process parameters in the recycling reaction system need to be strictly controlled to ensure the effective migration of elements and the recycling efficiency. However, the migration behavior of multi-elements in the recycling reaction is affected by a variety of factors, and its migration rate and state are difficult to accurately predict and regulate in real time.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: in the existing recycling process, the regulation of the multi-element migration in lithium iron phosphate waste mainly relies on preset process parameters and empirical judgments, lacking the ability of real-time monitoring and dynamic regulation of the element migration state. When abnormal element migration occurs, such as abnormal acceleration or blockage of the migration rate, it is difficult to regulate it in a timely and accurate manner, resulting in a decrease in the recycling efficiency, and even possibly triggering an irreversible abnormal state, affecting the recycling quality of resources and economic benefits. In addition, the regulation of the recycling reaction system in the prior art lacks systematicness and coordination, and fails to fully consider the mutual influence between multi-elements and the correlation between process parameters, making it difficult to achieve refined regulation of complex recycling processes. Summary of the Invention

[0004] The present invention provides an intelligent regulation method based on a multi-element migration kinetic model of lithium iron phosphate waste, including:[[]] Obtaining a multi-element characteristic parameter sequence of lithium iron phosphate waste through a pretreatment device, and obtaining a process parameter sequence of the recycling reaction system; Performing migration feature extraction on each multi-element characteristic parameter in the multi-element characteristic parameter sequence to obtain element migration state information; In response to the element migration state information satisfying a preset regulation trigger condition, generating a multi-element collaborative regulation strategy identifier based on the process parameter sequence and the element migration state information; Generate corresponding real-time regulation instructions based on the multi-element collaborative regulation strategy identification, and send the real-time regulation instructions to the process execution device for dynamic regulation operations, where the real-time regulation instructions are parameter adjustment instructions executed on each process unit in the recovery reaction system.

[0005] Further, extracting migration features for each multi-element feature parameter in the multi-element feature parameter sequence to obtain element migration state information, including: analyzing the migration rate of each multi-element feature parameter in the multi-element feature parameter sequence to generate an element migration rate identification sequence, where the migration rate identifications in the element migration rate identification sequence represent that the iron element, lithium element, and phosphorus element are respectively in the standard migration rate, abnormal acceleration migration rate, or abnormal retardation migration rate; In response to determining that each migration rate identification in the element migration rate identification sequence meets a preset rate threshold condition, generate element migration state information, where the element migration state information is information indicating that at least one of the iron element, lithium element, and phosphorus element has an abnormal migration rate.

[0006] Further, generating a multi-element collaborative regulation strategy identification based on the process parameter sequence and the element migration state information, including: obtaining the solution ion concentration detection value collected by an on-line detection device set in the recovery reaction system, where the on-line detection device is pre-calibrated; In response to determining that the element migration state information is information indicating that the iron element has an abnormal acceleration migration rate, generate a multi-element collaborative regulation strategy identification representing primary collaborative regulation; In response to determining that the element migration state information is information indicating that the lithium element has an abnormal retardation migration rate and the solution ion concentration detection value is not within a preset concentration balance interval, generate a multi-element collaborative regulation strategy identification representing secondary collaborative regulation; In response to determining that the element migration state information is information indicating that the phosphorus element has an abnormal retardation migration rate and the solution ion concentration detection value is within a preset concentration balance interval, generate a multi-element collaborative regulation strategy identification representing tertiary collaborative regulation; Generate a reaction environment state identification based on each process parameter in the process parameter sequence, where the reaction environment state identification is an identification representing the reaction temperature maintenance state, reaction pressure maintenance state, reaction temperature change from the maintenance state to the fluctuation state, or reaction pressure change from the maintenance state to the fluctuation state; In response to determining that the element migration status information represents information on abnormal retardation of the migration rate of lithium elements, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier is an identifier indicating that the reaction temperature changes from a maintained state to a fluctuating state, generate a multi-element cooperative regulation strategy identifier representing four-level cooperative regulation; In response to determining that the element migration status information represents information on abnormal retardation of the migration rate of phosphorus elements, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier is an identifier indicating that the reaction pressure changes from a maintained state to a fluctuating state, generate a multi-element cooperative regulation strategy identifier representing five-level cooperative regulation.

[0007] Further, before generating a corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, the method further includes: sending a data review instruction to the on-line detection device for the on-line detection device to perform a secondary calibration operation to verify the detection accuracy; Controlling the parameter buffer module of the recovery reaction system to perform a preliminary adjustment operation to stabilize the reaction environment.

[0008] Further, before generating a corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, the method further includes: in response to determining that the multi-element cooperative regulation strategy identifier is an identifier representing second-level cooperative regulation, third-level cooperative regulation, fourth-level cooperative regulation or fifth-level cooperative regulation, generating a set of process compensation parameters based on the process parameter sequence; Sending the set of process compensation parameters to the reaction control terminal to perform a compensation adjustment operation on the reaction conditions.

[0009] Further, generating a corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, and sending the real-time regulation instruction to the process execution device for dynamic regulation operation, includes: for the multi-element cooperative regulation strategy identifier, performing the following multi-element cooperative regulation steps: Generating a corresponding element migration compensation scheme based on the regulation level represented by the multi-element cooperative regulation strategy identifier; Based on a preset regulation intensity coefficient corresponding to the regulation level represented by the multi-element cooperative regulation strategy identifier, converting the element migration compensation scheme into a real-time regulation instruction, and sending the real-time regulation instruction to the process execution device for dynamic regulation operation; In response to detecting that the element migration status information returns to a preset standard range within a preset time window, sending a data review termination instruction to the on-line detection device, and terminating the preliminary adjustment operation of the parameter buffer module.

[0010] Further, the method further includes: In response to the failure to detect that the element migration status information returns to the preset standard range within a preset time window, adjusting the preset regulation intensity coefficient to obtain an optimized regulation intensity coefficient; Determining the batch number of the lithium iron phosphate waste, the reaction system number, the recycling process path, and the element migration abnormal information as renewable resource risk information, where the renewable resource risk information represents an irreversible abnormal state occurring during the multi-element migration process, and the element migration abnormal information includes at least one of the following: the multi-element characteristic parameter sequence, the process parameter sequence, the element migration status information, the multi-element collaborative regulation strategy identifier, and the optimized regulation intensity coefficient; Sending the renewable resource risk information to the intelligent supervision platform for resource recycling for tracing and analyzing the recycling process of the lithium iron phosphate waste, and re-executing the multi-element collaborative regulation step according to the optimized regulation intensity coefficient.

[0011] Further, generating a corresponding element migration compensation plan based on the regulation level represented by the multi-element collaborative regulation strategy identifier includes: Based on the element type with an abnormal migration rate in the element migration status information, matching the corresponding basic compensation parameters from a preset compensation parameter library; Obtaining the current dynamic parameters of the reaction temperature, reaction pressure, and solution flow rate in the process parameter sequence; Calculating and generating a temperature compensation amount, a pressure compensation amount, and a flow rate compensation amount based on the current dynamic parameters and the basic compensation parameters; Combining the temperature compensation amount, the pressure compensation amount, and the flow rate compensation amount into an element migration compensation plan, where the element migration compensation plan includes the execution parameter adjustment amounts for the temperature adjustment unit, the pressure adjustment unit, and the flow rate adjustment unit in the recycling reaction system.

[0012] Further, generating a multi-element collaborative regulation strategy identifier representing four-level collaborative regulation includes: Based on the abnormal retardation migration rate of lithium elements in the element migration status information, analyzing its migration retardation rate deviation value; Obtaining the temperature fluctuation amplitude and frequency of the reaction temperature changing from the holding state to the fluctuating state in the reaction environment status identifier; Generating a temperature compensation coefficient and a lithium ion concentration compensation threshold through a preset compensation calculation model based on the migration retardation rate deviation value and the temperature fluctuation amplitude and frequency; Associating the temperature compensation coefficient and the lithium ion concentration compensation threshold with the multi-element collaborative regulation strategy identifier for four-level collaborative regulation for matching the corresponding compensation adjustment priority when generating a real-time regulation instruction.

[0013] Further, adjusting the preset regulation intensity coefficient to obtain an optimized regulation intensity coefficient includes: Based on the batch number of the lithium iron phosphate waste and the recycling process path in the renewable resource risk information, obtaining the regulation intensity correction rules for the same batch or process path in the historical recycling process database; According to the level of the multi-element collaborative regulation strategy identifier and the adjustment times of the optimized regulation intensity coefficient in the element migration anomaly information, determining the adjustment direction and step size of the current regulation intensity coefficient; Based on the regulation intensity correction rules, the adjustment direction, and the step size, linearly adjusting or dynamically weighting and adjusting the preset regulation intensity coefficient to generate an optimized regulation intensity coefficient, wherein the optimized regulation intensity coefficient is positively correlated with the real-time regulation response efficiency of the recycling reaction system.

[0014] The above embodiments of the present invention have at least the following beneficial effects: 1. Accurately identify the abnormal state of element migration: By collecting the multi-element characteristic parameter sequence and process parameter sequence of lithium iron phosphate waste in real time and combining the migration rate analysis technology, it is possible to dynamically monitor the changes in the migration rates of key elements such as iron, lithium, and phosphorus, and timely identify the abnormal acceleration or retardation migration state, providing accurate data support for subsequent intelligent regulation.

[0015] 2. Dynamically optimize the recycling process parameters: Based on the element migration state information and the process parameter sequence, generating a multi-level collaborative regulation strategy identifier and matching the corresponding temperature, pressure, and flow rate compensation schemes to achieve the adaptive adjustment of the recycling reaction system, effectively solving the problems of low recycling efficiency or resource waste caused by parameter lag in traditional processes.

[0016] 3. Improve the system stability and traceability: Through the secondary calibration of the online detection device, the preliminary adjustment of the parameter buffer module, and the adjustment of the optimized regulation intensity coefficient under abnormal conditions, ensure the stability of the reaction environment; at the same time, associate the abnormal data with the batch number and process path and upload it to the supervision platform for subsequent process optimization and problem tracing, improving the reliability and repeatability of the recycling process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown in an exemplary rather than restrictive manner, wherein: Figure 1 It is a schematic flow chart of an intelligent regulation method based on the multi-element migration kinetics model of lithium iron phosphate waste provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and then implement the present invention, rather than limiting the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to be able to fully convey the scope of the present invention to those skilled in the art.

[0019] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, equipment, method, or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: completely hardware, completely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0020] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for distinction and does not have any limiting meaning.

[0021] The following reference Figure 1 , Figure 1 is a schematic flowchart of an intelligent regulation method based on a multi-element migration kinetics model of lithium iron phosphate waste for an embodiment of the present invention. As Figure 1 shown, an intelligent regulation method based on a multi-element migration kinetics model of lithium iron phosphate waste includes: S1. Obtain a multi-element characteristic parameter sequence of lithium iron phosphate waste through a pretreatment device, and obtain a process parameter sequence of a recovery reaction system; S2. Extract migration characteristics of each multi-element characteristic parameter in the multi-element characteristic parameter sequence to obtain element migration state information; S3. In response to the element migration state information satisfying a preset regulation trigger condition, generate a multi-element collaborative regulation strategy identifier based on the process parameter sequence and the element migration state information; S4. Generate a corresponding real-time regulation instruction based on the multi-element collaborative regulation strategy identifier, and send the real-time regulation instruction to a process execution device for dynamic regulation operations, where the real-time regulation instruction is a parameter adjustment instruction executed on each process unit in the recovery reaction system.

[0022] It should be noted that the present invention proposes an intelligent regulation method based on a multi-element migration kinetics model of lithium iron phosphate waste. Among them, the pretreatment equipment refers to a device for preliminarily treating lithium iron phosphate waste and obtaining a multi-element characteristic parameter sequence. The characteristic parameter sequence includes, but is not limited to, the initial concentration, migration rate, etc. of the elements. The process parameter sequence of the recovery reaction system covers key parameters that affect the progress of the recovery reaction, such as reaction temperature, pressure, solution flow rate, etc. The element migration state information obtained through migration feature extraction is the key data used to characterize whether the migration behavior of each element is normal during the recovery process. When the element migration state information meets the preset regulation trigger condition, the multi-element collaborative regulation strategy identifier generated based on the process parameter sequence and the element migration state information is an important basis for guiding subsequent regulation operations, and the real-time regulation instruction is to specify the regulation strategy into an executable parameter adjustment instruction and send it to the process execution equipment to achieve dynamic regulation of the recovery reaction system and ensure the efficient and stable progress of the recovery process.

[0023] Specifically, the multi-element characteristic parameter sequence refers to a series of characteristic parameters of each element in lithium iron phosphate waste obtained through the pretreatment equipment in the pretreatment stage. These parameters can reflect the initial state of the elements before the recovery reaction starts and the possible change trends during the reaction process. For example, for iron, lithium, and phosphorus elements, their characteristic parameters can include initial concentration, migration rate, activation energy, etc. The process parameter sequence refers to the set of various parameters used to control the reaction process in the recovery reaction system, such as reaction temperature, reaction pressure, solution flow rate, etc. The setting of these parameters directly affects the migration behavior of the elements and the recovery efficiency. For example, the level of the reaction temperature affects the migration rate of the elements. Too high a temperature causes the element migration rate to accelerate abnormally, while too low a temperature blocks the migration rate. The speed of the solution flow rate also affects the migration path and efficiency of the elements. Too fast a flow rate causes the elements to be carried away from the reaction area before fully reacting, while too slow a flow rate will prolong the reaction time and reduce the recovery efficiency. The preset regulation trigger condition refers to the condition for triggering the regulation mechanism when abnormal situations occur in the element migration state information, such as the element migration rate exceeding the normal range. The multi-element collaborative regulation strategy identifier is generated based on a comprehensive judgment of the element migration state information and the process parameter sequence and is used to indicate different levels and types of regulation strategies, such as primary collaborative regulation, secondary collaborative regulation, etc. Each regulation strategy identifier corresponds to different regulation measures and priorities.

[0024] Preferably, the acquisition of element migration state information can be achieved by establishing a multi-element migration kinetics model. This model is based on the physicochemical behavior of elements during the recycling reaction. The input parameters include the initial concentration of elements, reaction temperature, reaction pressure, solution flow rate, etc. By simulating the migration rate and path of elements under different conditions, the element migration state information is output. For example, the model can calculate the migration rate of iron element under the current conditions based on the input reaction temperature and initial concentration of the element, and determine whether it is within the standard migration rate range. If the migration rate exceeds the normal range, the corresponding migration state information is generated. When generating the multi-element collaborative regulation strategy identifier, it can be judged according to the element migration state information and the specific values of the process parameter sequence, combined with the preset rules and thresholds. For example, when the migration rate of iron element reaches the abnormal acceleration threshold, a first-level collaborative regulation strategy identifier is generated; when the migration rate of lithium element reaches the abnormal retardation threshold and the solution ion concentration is not within the preset equilibrium range, a second-level collaborative regulation strategy identifier is generated. The generation of real-time regulation instructions can convert the regulation measures into specific parameter adjustment instructions according to the specific content of the regulation strategy identifier, such as adjusting the reaction temperature, changing the solution flow rate, etc., and sending them to the process execution equipment to achieve precise regulation of the recycling reaction system.

[0025] In some embodiments, the extracting of the migration characteristics of each multi-element characteristic parameter in the multi-element characteristic parameter sequence to obtain element migration state information includes: analyzing the migration rate of each multi-element characteristic parameter in the multi-element characteristic parameter sequence to generate an element migration rate identifier sequence, wherein the migration rate identifier in the element migration rate identifier sequence represents that the iron element, lithium element, and phosphorus element are respectively in the standard migration rate, abnormal acceleration migration rate, or abnormal retardation migration rate; In response to determining that each migration rate identifier in the element migration rate identifier sequence meets the preset rate threshold condition, element migration state information is generated, wherein the element migration state information is information indicating that at least one of the iron element, lithium element, and phosphorus element has an abnormal migration rate.

[0026] It should be noted that in the present invention, the extraction of migration features for each multi-element characteristic parameter in the multi-element characteristic parameter sequence is to obtain element migration state information, so as to provide a basis for subsequent regulation strategies. Among them, migration rate analysis refers to analyzing the multi-element characteristic parameter sequence, calculating the migration rate of each element during the recycling reaction, and expressing it as an element migration rate identification sequence. The migration rate identifications in this sequence are used to characterize that the iron element, lithium element, and phosphorus element are respectively in the standard migration rate, abnormal acceleration migration rate, or abnormal retardation migration rate. When it is determined that each migration rate identification in the element migration rate identification sequence meets the preset rate threshold condition, element migration state information indicating abnormal element migration rate is generated. This process is a key step in realizing intelligent regulation, which can monitor the abnormal situation of element migration behavior in real time so as to take regulation measures in a timely manner.

[0027] Specifically, the multi-element characteristic parameter sequence refers to a series of characteristic parameters of each element in the lithium iron phosphate waste obtained by a pretreatment device during the recycling reaction. These parameters include the initial concentration, migration rate, activation energy, etc. of the element. These parameters can reflect the migration behavior and state of the element during the recycling reaction. Migration rate analysis refers to analyzing and calculating the migration rate in the multi-element characteristic parameter sequence, and converting the migration rate of each element into a migration rate identification sequence through a specific algorithm or model. For example, when the migration rate of the iron element is 2 mm / min, it is identified as the standard migration rate; when the migration rate reaches 5 mm / min, it is identified as the abnormal acceleration migration rate; while when the migration rate is only 0.5 mm / min, it is identified as the abnormal retardation migration rate. The preset rate threshold condition refers to the threshold set according to the rate range of the element during normal migration. When the actual migration rate of the element exceeds this range, it is considered abnormal. For example, the standard migration rate of the iron element is 1-3 mm / min. When the migration rate is lower than 1 mm / min or higher than 3 mm / min, the abnormal condition is triggered.

[0028] Preferably, when analyzing the migration rate, a method based on a kinetic model can be adopted. This model is constructed according to the physicochemical behavior of elements in the recycling reaction, and the input parameters include the initial concentration of elements, reaction temperature, reaction pressure, solution flow rate, etc. The model simulates the migration rate of elements under different conditions and outputs an element migration rate identification sequence. For example, the model can calculate the migration rate of iron elements under the current conditions based on the input reaction temperature and the initial concentration of elements, and determine whether it is within the standard migration rate range. If the migration rate exceeds the normal range, a corresponding migration rate identification is generated. When generating the element migration state information, it can be judged according to the specific content of the migration rate identification sequence in combination with the preset rate threshold conditions. For example, when the migration rate of iron elements reaches the abnormal acceleration threshold, element migration state information characterizing the abnormal acceleration migration rate of iron elements is generated; when the migration rate of lithium elements reaches the abnormal retardation threshold, element migration state information characterizing the abnormal retardation migration rate of lithium elements is generated. This judgment method based on the model and threshold can realize the real-time monitoring and accurate judgment of the element migration behavior, providing a reliable basis for subsequent regulation strategies.

[0029] In some embodiments, generating a multi-element collaborative regulation strategy identification based on the process parameter sequence and the element migration state information includes: obtaining the solution ion concentration detection value collected by an on-line detection device set in the recycling reaction system, wherein the on-line detection device is pre-calibrated; In response to determining that the element migration state information is information characterizing that the iron element has an abnormal acceleration migration rate, generating a multi-element collaborative regulation strategy identification characterizing primary collaborative regulation; In response to determining that the element migration state information is information characterizing that the lithium element has an abnormal retardation migration rate and the solution ion concentration detection value is not within a preset concentration balance interval, generating a multi-element collaborative regulation strategy identification characterizing secondary collaborative regulation; In response to determining that the element migration state information is information characterizing that the phosphorus element has an abnormal retardation migration rate and the solution ion concentration detection value is within a preset concentration balance interval, generating a multi-element collaborative regulation strategy identification characterizing tertiary collaborative regulation; Based on each process parameter in the process parameter sequence, generating a reaction environment state identification, wherein the reaction environment state identification is an identification characterizing the reaction temperature holding state, the reaction pressure holding state, the reaction temperature changing from the holding state to the fluctuating state, or the reaction pressure changing from the holding state to the fluctuating state; In response to determining that the element migration status information characterizes information on an abnormal retardation migration rate of lithium elements, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier indicates that the reaction temperature has changed from a maintained state to a fluctuating state, a multi-element cooperative regulation strategy identifier characterizing four-level cooperative regulation is generated; In response to determining that the element migration status information characterizes information on an abnormal retardation migration rate of phosphorus elements, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier indicates that the reaction pressure has changed from a maintained state to a fluctuating state, a multi-element cooperative regulation strategy identifier characterizing five-level cooperative regulation is generated.

[0030] It should be noted that in the process of generating the multi-element cooperative regulation strategy identifier of the present invention, the element migration status information and the process parameter sequence of the recovery reaction system are comprehensively considered. Among them, the on-line detection device refers to the equipment installed in the recovery reaction system for real-time monitoring of the solution ion concentration. These devices can provide accurate concentration data for judging whether the element migration process is normal. The preset concentration equilibrium range refers to a reasonable ion concentration range set according to the requirements of the recovery process. When the solution ion concentration is within this range, it indicates that the recovery reaction is in an ideal state. The reaction environment status identifier is a description of the reaction temperature and pressure status in the recovery reaction system, used to judge whether the reaction environment is stable. Through the comprehensive analysis of these parameters and identifiers, multi-element cooperative regulation strategy identifiers of different levels are generated, so as to achieve precise regulation of the recovery reaction system.

[0031] Specifically, the on-line detection device usually includes components such as electrodes and sensors, which can measure the concentration of specific ions in the solution in real time. For example, the concentration of lithium ions can be measured by an ion-selective electrode, and its measurement accuracy can reach the micromole level. The preset concentration equilibrium range is set according to the ideal migration rate and recovery efficiency of the element during the recovery process. For example, the equilibrium range of the lithium ion concentration is set to 0.1 - 0.3 mol / L. When the concentration is lower than 0.1 mol / L, it indicates that the migration rate of lithium elements is too slow, and when it is higher than 0.3 mol / L, the migration rate is too fast. The reaction environment status identifier includes the maintained state or fluctuating state of the reaction temperature and pressure. For example, the maintained state of the reaction temperature means that the temperature fluctuates within ±1°C, and the fluctuating state means that the temperature fluctuates more than ±1°C. For the multi-element cooperative regulation strategy identifier, its level division is based on the comprehensive judgment of the element migration status and the reaction environment status. For example, the first-level cooperative regulation strategy identifier corresponds to the situation where the iron element has an abnormal accelerated migration rate, and the second-level cooperative regulation strategy identifier corresponds to the situation where the lithium element has an abnormal retardation migration rate and the solution ion concentration is not within the preset range.

[0032] Preferably, when generating the multi-element collaborative regulation strategy identifier, the operation steps can be further refined. For example, after obtaining the solution ion concentration detection value collected by the on-line detection device, the detection value can be secondarily calibrated by the data calibration module to ensure the accuracy of the data. For the generation of the reaction environment state identifier, by continuously monitoring the changes in the reaction temperature and pressure and combining with the preset threshold, it can be determined whether the reaction environment changes from a maintained state to a fluctuating state. For example, when the reaction temperature fluctuates by more than ±1°C continuously for 10 minutes, a reaction temperature fluctuation state identifier is generated. When generating the multi-element collaborative regulation strategy identifier, it can be judged according to the specific element migration state and reaction environment state in combination with the preset rule library. For example, the rule library can define that when the lithium element migration rate reaches the abnormal retardation threshold and the solution ion concentration is lower than the preset lower limit, a secondary collaborative regulation strategy identifier is generated; when the phosphorus element migration rate reaches the abnormal retardation threshold and the solution ion concentration is within the equilibrium range, a tertiary collaborative regulation strategy identifier is generated. This rule-based judgment method can quickly and accurately generate the regulation strategy identifier, providing clear guidance for subsequent regulation operations.

[0033] In some embodiments, before generating the corresponding real-time regulation instruction based on the multi-element collaborative regulation strategy identifier, the method further includes: sending a data review instruction to the on-line detection device for the on-line detection device to perform a secondary calibration operation to verify the detection accuracy; Controlling the parameter buffer module of the recovery reaction system to perform a preliminary adjustment operation to stabilize the reaction environment.

[0034] It should be noted that before generating the corresponding real-time regulation instruction based on the multi-element collaborative regulation strategy identifier, the present invention adds a step of data review and preliminary adjustment of the reaction environment. Among them, the data review instruction is an instruction sent to the on-line detection device to trigger the device to perform a secondary calibration operation to ensure the accuracy and reliability of the detection data. The parameter buffer module refers to the device in the recovery reaction system for stabilizing the reaction environment. Through the preliminary adjustment operation, the reaction environment can be pre-adjusted before the regulation instruction is executed to make it more stable, thereby improving the accuracy and effect of the regulation.

[0035] Specifically, the data verification instruction is a signal sent to the on-line detection device by the control system, and this signal triggers the calibration mechanism inside the device. For example, for an ion concentration detection device, the verification instruction can initiate an internal standard sample calibration process, and by comparing the standard sample with a known concentration and the actual detection value, the measurement error of the detection device can be calibrated. The parameter buffer module generally includes a temperature adjustment unit, a pressure adjustment unit, etc. These units can finely adjust the reaction environment before the execution of the regulation instruction. For example, when the temperature adjustment unit detects a temperature fluctuation, it can adjust the heating or cooling power in advance to bring the temperature back within the set range; when the pressure adjustment unit detects a pressure fluctuation, it can adjust the intake or exhaust volume in advance to stabilize the reaction pressure. These preparatory adjustment operations can reduce the environmental fluctuations during the execution of the regulation instruction and improve the accuracy of regulation.

[0036] Preferably, when executing the data verification instruction, a verification time window can be set, such as 5 minutes, for completing the secondary calibration operation of the on-line detection device. Within this time window, the detection device will automatically complete the standard sample calibration and feedback the calibrated data to the control system. At the same time, for the preparatory adjustment operation of the parameter buffer module, specific adjustment parameter ranges can be set. For example, when the temperature adjustment unit detects that the temperature fluctuation exceeds ±0.5 °C, it can initiate the preparatory adjustment and adjust the temperature within the range of ±0.2 °C of the target value; when the pressure adjustment unit detects that the pressure fluctuation exceeds ±0.05 MPa, it can initiate the preparatory adjustment and adjust the pressure within the range of ±0.02 MPa of the target value. Through these specific adjustment parameter settings, it can be ensured that the reaction environment is in a stable state before the execution of the regulation instruction, thereby improving the regulation efficiency and stability of the entire recovery reaction system.

[0037] In some embodiments, before generating the corresponding real-time regulation instruction based on the multi-element collaborative regulation strategy identifier, the method further includes: in response to determining that the multi-element collaborative regulation strategy identifier is an identifier representing secondary collaborative regulation, tertiary collaborative regulation, quaternary collaborative regulation, or quinary collaborative regulation, generating a set of process compensation parameters based on the process parameter sequence; Sending the set of process compensation parameters to the reaction control terminal to perform a compensation adjustment operation on the reaction conditions.

[0038] It should be noted that before generating the corresponding real-time control instruction based on the multi-element collaborative regulation strategy identifier, the present invention further introduces the concept of a process compensation parameter set. When it is determined that the multi-element collaborative regulation strategy identifier is a secondary collaborative regulation, a tertiary collaborative regulation, a quaternary collaborative regulation, or a quinary collaborative regulation, a process compensation parameter set will be generated based on the process parameter sequence. These compensation parameter sets are used to perform compensation adjustment operations on the reaction conditions to optimize the operating state of the recovery reaction system and ensure the accuracy and effectiveness of the regulation. In this way, before executing the real-time control instruction, the reaction conditions can be adjusted in advance to make them closer to the ideal state, thereby improving the success rate of regulation and the recovery efficiency.

[0039] Specifically, the process compensation parameter set refers to a set of parameters generated according to the process parameter sequence and the multi-element collaborative regulation strategy identifier, and these parameters are used to perform compensation adjustment on the reaction conditions in the recovery reaction system. For example, when the lithium element has an abnormal retardation migration rate and the solution ion concentration is not within the preset range, the generated process compensation parameter set includes a temperature compensation amount, a pressure compensation amount, a flow rate compensation amount, etc. The specific values of these compensation amounts can be calculated according to the preset rules and models. For example, the temperature compensation amount can be calculated based on the difference between the current value and the target value of the reaction temperature, the pressure compensation amount can be calculated based on the difference between the current value and the target value of the reaction pressure, and the flow rate compensation amount can be calculated based on the difference between the current value and the target value of the solution flow rate. These compensation parameter sets will be sent to the reaction control terminal for performing compensation adjustment operations on the reaction conditions to optimize the operating state of the recovery reaction system.

[0040] Preferably, when generating the process compensation parameter set, a model-based calculation method can be adopted. For example, a compensation model can be constructed, and the input parameters of this model include the current reaction temperature, pressure, solution flow rate, and element migration state information, etc. The model calculates the corresponding compensation amounts based on these input parameters and in combination with the preset compensation rules. For example, if the current reaction temperature is 30 °C and the target temperature is 35 °C, the temperature compensation amount can be calculated as 5 °C. If the current reaction pressure is 0.5 MPa and the target pressure is 0.6 MPa, the pressure compensation amount can be calculated as 0.1 MPa. If the current solution flow rate is 2 L / min and the target flow rate is 3 L / min, the flow rate compensation amount can be calculated as 1 L / min. These compensation amounts will be combined into a process compensation parameter set and sent to the reaction control terminal for performing compensation adjustment on the reaction conditions. In this way, before executing the real-time control instruction, the reaction conditions can be adjusted in advance to make them closer to the ideal state, thereby improving the success rate of regulation and the recovery efficiency.

[0041] In some embodiments, generating corresponding real-time regulation instructions based on the multi-element collaborative regulation strategy identification and sending the real-time regulation instructions to a process execution device for dynamic regulation operations includes: for the multi-element collaborative regulation strategy identification, performing the following multi-element collaborative regulation steps: Generating a corresponding element migration compensation plan based on the regulation level characterized by the multi-element collaborative regulation strategy identification; Converting the element migration compensation plan into a real-time regulation instruction based on a preset regulation intensity coefficient corresponding to the regulation level characterized by the multi-element collaborative regulation strategy identification, and sending the real-time regulation instruction to a process execution device for dynamic regulation operations; In response to detecting that the element migration status information has returned to a preset standard range within a preset time window, sending a data review termination instruction to the online detection device and terminating the preparatory adjustment operation of the parameter buffer module.

[0042] It should be noted that in the process of generating real-time regulation instructions based on the multi-element collaborative regulation strategy identification, the present invention further refines the regulation steps to achieve precise dynamic regulation of the recovery reaction system. Specifically, according to the regulation level characterized by the regulation strategy identification, a corresponding element migration compensation plan is generated and converted into a real-time regulation instruction and sent to the process execution device. In addition, a preset regulation intensity coefficient is introduced to adjust the intensity of the compensation plan to ensure the regulation effect. If it is detected that the element migration status information has returned to the preset standard range within the preset time window, relevant operations are terminated, thereby achieving closed-loop regulation.

[0043] Specifically, the element migration compensation plan refers to a set of specific compensation measures generated based on the element migration status information and the regulation strategy identification, and is used to adjust key parameters in the recovery reaction system, such as temperature, pressure, and flow rate. For example, if the regulation strategy identification is secondary collaborative regulation and the lithium element migration rate is abnormally blocked, the compensation plan includes measures such as increasing the reaction temperature and adjusting the solution flow rate. The preset regulation intensity coefficient refers to a coefficient preset according to the level of the regulation strategy identification and is used to adjust the intensity of the compensation plan. For example, for secondary collaborative regulation, the preset regulation intensity coefficient is 1.2, indicating a 20% increase in the compensation intensity based on the basic compensation amount. In addition, the preset time window refers to the time period during which the system waits to detect that the element migration status information has returned to the preset standard range after executing the regulation instruction. For example, it can be set to 10 minutes. If it is detected that the element migration has returned to normal within these 10 minutes, a data review termination instruction is sent to the online detection device and the preparatory adjustment operation of the parameter buffer module is terminated.

[0044] Preferably, when generating the element migration compensation scheme, detailed calculations can be performed according to the specific level of the regulation strategy identifier in combination with a preset compensation parameter library. For example, for three-level collaborative regulation, if the migration rate of phosphorus elements is abnormally blocked, the compensation scheme may include the following steps: First, obtain the basic compensation parameters for the blocked migration of phosphorus elements from the compensation parameter library, such as a temperature compensation amount of 5 °C, a pressure compensation amount of 0.1 MPa, and a flow rate compensation amount of 1 L / min; Second, calculate the adjusted compensation amounts according to the current process parameters, such as the current temperature of 30 °C, pressure of 0.5 MPa, and flow rate of 2 L / min, for example, the adjusted temperature compensation amount is 35 °C, the pressure compensation amount is 0.6 MPa, and the flow rate compensation amount is 3 L / min; Finally, combine these compensation amounts into a complete element migration compensation scheme and further adjust the compensation intensity according to a preset regulation intensity coefficient, such as 1.2. When executing the real-time regulation instruction, these compensation amounts can be converted into specific control signals and sent to the process execution equipment, such as the temperature regulation unit, pressure regulation unit, and flow rate regulation unit, to achieve dynamic regulation of the recovery reaction system.

[0045] In some embodiments, the method further includes: In response to the failure to detect that the element migration status information has returned to the preset standard range within a preset time window, adjust the preset regulation intensity coefficient to obtain an optimized regulation intensity coefficient; Determine the batch number of the lithium iron phosphate waste, the reaction system number, the recovery process path, and the element migration abnormality information as the renewable resource risk information, where the renewable resource risk information represents an irreversible abnormal state occurring during the multi-element migration process, and the element migration abnormality information includes at least one of the following: the multi-element characteristic parameter sequence, the process parameter sequence, the element migration status information, the multi-element collaborative regulation strategy identifier, and the optimized regulation intensity coefficient; Send the renewable resource risk information to the intelligent supervision platform for renewable resources for tracing and analyzing the recovery process of the lithium iron phosphate waste, and re-execute the multi-element collaborative regulation step according to the optimized regulation intensity coefficient.

[0046] It should be noted that in the present invention, when the element migration status information is not detected to recover to the preset standard range within the preset time window, further optimization measures will be taken. Specifically, the preset regulation intensity coefficient will be adjusted to generate an optimized regulation intensity coefficient, which will be applied to the subsequent regulation process. At the same time, the relevant information of the lithium iron phosphate waste, such as batch number, reaction system number, recycling process path, and element migration anomaly information, etc., will be determined as the renewable resource risk information. This information will be sent to the intelligent supervision platform for resource recycling for tracing and analyzing the recycling process of the lithium iron phosphate waste. This process not only optimizes the regulation strategy but also provides data support for the improvement of the subsequent recycling process.

[0047] Specifically, the preset regulation intensity coefficient refers to the coefficient set in the initial regulation stage for adjusting the intensity of the compensation scheme, and its value is preset according to the level of the regulation strategy identifier. For example, for the secondary collaborative regulation, the preset regulation intensity coefficient is 1.2, indicating a 20% increase in the compensation intensity on the basis of the basic compensation amount. The optimized regulation intensity coefficient is the coefficient dynamically adjusted on the basis of the preset regulation intensity coefficient according to the regulation effect. For example, if the element migration status still does not return to normal within the preset time window, the regulation intensity coefficient needs to be adjusted from 1.2 to 1.5 to enhance the regulation effect. The renewable resource risk information refers to the relevant information of the irreversible abnormal state that appears during the multi-element migration process, including the batch number of the lithium iron phosphate waste, reaction system number, recycling process path, element migration anomaly information, etc. This information can help the supervision platform trace and analyze the problems in the recycling process so as to take corresponding improvement measures.

[0048] Preferably, when adjusting the preset regulation intensity coefficient to generate the optimized regulation intensity coefficient, the regulation intensity correction rules in the historical recycling process database can be referred to. For example, according to the historical data of the same batch or process path, the adjustment direction and step size of the current regulation intensity coefficient are determined. If the historical data shows that in a similar situation, the regulation intensity coefficient needs to be increased by 0.3 to achieve the ideal regulation effect, then the current regulation intensity coefficient can be adjusted from 1.2 to 1.5. In addition, the record of the element migration anomaly information can include detailed parameters, such as the multi-element characteristic parameter sequence, process parameter sequence, element migration status information, multi-element collaborative regulation strategy identifier, and optimized regulation intensity coefficient, etc. This information will be stored in a structured manner and sent to the intelligent supervision platform for resource recycling for in-depth data analysis and process optimization. In this way, not only can the current regulation strategy be optimized, but also valuable data support can be provided for the improvement of future recycling processes.

[0049] In some embodiments, generating a corresponding element migration compensation scheme based on the regulation level characterized by the multi-element collaborative regulation strategy identifier includes: Based on the element type with an abnormal migration rate in the element migration status information, match the corresponding basic compensation parameters from a preset compensation parameter library; Obtain the current dynamic parameters of the reaction temperature, reaction pressure, and solution flow rate in the process parameter sequence; Based on the current dynamic parameters and the basic compensation parameters, calculate and generate a temperature compensation amount, a pressure compensation amount, and a flow rate compensation amount; Combine the temperature compensation amount, the pressure compensation amount, and the flow rate compensation amount into an element migration compensation scheme, where the element migration compensation scheme includes the execution parameter adjustment amounts for the temperature adjustment unit, the pressure adjustment unit, and the flow rate adjustment unit in the recovery reaction system.

[0050] It should be noted that the element migration status information refers to the abnormal situations of the migration rates of elements such as iron, lithium, and phosphorus during the recovery process of lithium iron phosphate waste, and these information are obtained through detection and analysis. The process parameters refer to the parameters such as temperature, pressure, and solution flow rate in the recovery reaction system that affect element migration, and the dynamic changes of these parameters will affect the migration behavior of elements. The element migration compensation scheme is to dynamically adjust the relevant parameters in the recovery reaction system according to the abnormal situations and process parameters to achieve the regulation of element migration and ensure the efficiency and stability of the recovery process.

[0051] Specifically, the element type with an abnormal migration rate in the element migration status information refers to the elements whose migration rates deviate from the normal range during the detection process, such as iron element, lithium element, or phosphorus element. The preset compensation parameter library is a set containing various basic compensation parameters, and these basic compensation parameters are preset according to past experience and experimental data to cope with the abnormal migration situations of different elements. The current dynamic parameters of the reaction temperature, reaction pressure, and solution flow rate in the process parameter sequence refer to the specific values of these parameters monitored in real time during the recovery reaction process. The temperature compensation amount, the pressure compensation amount, and the flow rate compensation amount are the adjustment amounts calculated based on the current dynamic parameters and the basic compensation parameters, and are used to adjust the temperature adjustment unit, the pressure adjustment unit, and the flow rate adjustment unit in the recovery reaction system to compensate for the influence brought by abnormal migration.

[0052] Preferably, the process of generating the element migration compensation scheme can be further refined. For example, when matching the basic compensation parameters from the compensation parameter library, different compensation parameters can be selected according to the specific types of elements and the abnormal migration rates. For the calculation of the temperature compensation amount, it can be obtained through linear or non-linear calculation methods based on the deviation between the current reaction temperature and the preset normal temperature range, in combination with the temperature compensation coefficient in the basic compensation parameters. Similar methods can also be used for the calculation of the pressure compensation amount and the flow rate compensation amount, which are calculated respectively according to the deviation between the current values of pressure and flow rate and the normal ranges, as well as the corresponding basic compensation parameters. In this way, the generated element migration compensation scheme can more accurately reflect the state of the current recovery reaction system and provide a more accurate basis for parameter adjustment for dynamic regulation operations.

[0053] In some embodiments, the generation of the multi-element collaborative regulation strategy identifier representing four-level collaborative regulation includes: Based on the abnormal retardation migration rate of lithium elements in the element migration state information, analyze its migration retardation rate deviation value; Obtain the temperature fluctuation amplitude and frequency when the reaction temperature changes from the maintained state to the fluctuating state in the reaction environment state identifier; Based on the migration retardation rate deviation value and the temperature fluctuation amplitude and frequency, generate a temperature compensation coefficient and a lithium ion concentration compensation threshold through a preset compensation calculation model; Associate the temperature compensation coefficient and the lithium ion concentration compensation threshold with the multi-element collaborative regulation strategy identifier for four-level collaborative regulation, for matching the corresponding compensation adjustment priority when generating real-time regulation instructions.

[0054] It should be noted that the abnormal retardation migration rate of lithium elements refers to the situation where the migration rate of lithium elements is lower than the normal range during the recovery process of lithium iron phosphate waste. This abnormal migration rate will affect the recovery efficiency and quality. The migration retardation rate deviation value is calculated by comparing the actual migration rate with the standard migration rate, and is used to quantify the abnormal degree of the lithium element migration rate. The temperature fluctuation amplitude and frequency in the reaction environment state identifier refer to the amplitude and change frequency of the reaction temperature deviating from the normal maintained state during the recovery reaction process. These parameters reflect the stability of the reaction environment. The compensation calculation model is a mathematical model used to generate the temperature compensation coefficient and the lithium ion concentration compensation threshold. It calculates appropriate compensation parameters through specific algorithms based on the migration retardation rate deviation value and the temperature fluctuation parameters. These compensation parameters will be associated with the multi-element collaborative regulation strategy identifier for four-level collaborative regulation, so as to determine the compensation adjustment priority when generating real-time regulation instructions, thereby realizing precise regulation of the recovery reaction system.

[0055] Specifically, the abnormal retardation migration rate of lithium element can be determined by monitoring the change rate of lithium ion concentration in the recycling solution. The migration retardation rate deviation value is the absolute value of the difference between the actual migration rate and the standard migration rate, and the standard migration rate is preset according to experimental data and theoretical calculations. The temperature fluctuation amplitude refers to the maximum value by which the reaction temperature deviates from the normal holding temperature within a certain period of time, and the temperature fluctuation frequency refers to the number of temperature fluctuations per unit time. The input parameters of the compensation calculation model include the migration retardation rate deviation value, the temperature fluctuation amplitude and frequency. The model calculates the temperature compensation coefficient and the lithium ion concentration compensation threshold through specific algorithms such as linear regression or nonlinear fitting. The temperature compensation coefficient is used to adjust the reaction temperature to reduce the retardation degree of lithium element migration; the lithium ion concentration compensation threshold is used to set the target range of lithium ion concentration in the solution to ensure that the migration rate of lithium element returns to the normal level. The specific values of these parameters can be adjusted and optimized according to the actual recycling process and equipment conditions.

[0056] Preferably, the construction of the compensation calculation model can be carried out in the following steps. First, a large amount of experimental data is collected, including the migration rate data of lithium element under different temperature fluctuation amplitudes and frequencies. Then, through data preprocessing, noise and outliers are removed to obtain a dataset available for model training. Next, a suitable algorithm such as support vector machine or neural network is selected, with the migration retardation rate deviation value and temperature fluctuation parameters as inputs and the temperature compensation coefficient and lithium ion concentration compensation threshold as outputs for model training.

[0057] Furthermore, during the model training process, the model parameters can be optimized through methods such as cross-validation to improve the accuracy and generalization ability of the model. Finally, the trained model is applied to the actual recycling reaction system. According to the real-time monitored migration retardation rate deviation value and temperature fluctuation parameters, the corresponding temperature compensation coefficient and lithium ion concentration compensation threshold are calculated and associated with the multi-element collaborative regulation strategy identification of the four-level collaborative regulation to provide a basis for generating real-time regulation instructions.

[0058] In some embodiments, adjusting the preset regulation intensity coefficient to obtain the optimized regulation intensity coefficient includes: Based on the batch number of the lithium iron phosphate waste and the recycling process path in the renewable resource risk information, obtain the regulation intensity correction rules for the same batch or process path in the historical recycling process database; According to the level of the multi-element collaborative regulation strategy identification and the adjustment times of the optimized regulation intensity coefficient in the element migration anomaly information, determine the adjustment direction and step size of the current regulation intensity coefficient; Based on the regulation intensity correction rule, the adjustment direction and step size, linearly adjust or dynamically weight-adjust the preset regulation intensity coefficient to generate an optimized regulation intensity coefficient, where the optimized regulation intensity coefficient is positively correlated with the real-time regulation response efficiency of the recycling reaction system.

[0059] It should be noted that the renewable resource risk information refers to the relevant information of the irreversible abnormal state caused by abnormal element migration during the recovery process of lithium iron phosphate waste. This information includes batch numbers, recovery process paths, element migration abnormal information, etc. The regulation intensity correction rule is formulated based on historical recovery process data and is used to guide how to adjust the regulation intensity coefficient to better handle abnormal situations. The adjustment direction and step size refer to whether to increase or decrease when adjusting the regulation intensity coefficient, and the specific value of each adjustment. Through these steps, an optimized regulation intensity coefficient can be generated, thereby improving the real-time regulation response efficiency of the recycling reaction system and ensuring the stability and efficiency of the recovery process.

[0060] Specifically, the batch number of lithium iron phosphate waste in the renewable resource risk information is used to identify different batches of waste, and the recovery process path refers to the specific treatment process of the waste during the recovery process. The element migration abnormal information includes multi-element characteristic parameter sequences, process parameter sequences, element migration status information, multi-element collaborative regulation strategy identifiers, and optimized regulation intensity coefficients, etc. These information reflect the specific situation of abnormal migration. The regulation intensity correction rule is formulated based on historical data and is used to guide how to adjust the regulation intensity coefficient according to the current abnormal situation. The adjustment direction and step size refer to whether to increase or decrease the regulation intensity coefficient during the adjustment process, and the specific value of each adjustment. These parameters can be set according to historical data and experimental results. The optimized regulation intensity coefficient is positively correlated with the real-time regulation response efficiency of the recycling reaction system, that is, the optimized regulation intensity coefficient can better adapt to the current recycling reaction state and improve the regulation efficiency.

[0061] Preferably, the process of adjusting the preset regulation intensity coefficient can be further refined. For example, when obtaining the regulation intensity correction rule in the historical recovery process database, historical data similar to the current situation can be searched according to the batch number of lithium iron phosphate waste and the recovery process path. According to the level of the multi-element collaborative regulation strategy identifier in the element migration abnormal information and the adjustment times of the optimized regulation intensity coefficient, determine the adjustment direction and step size of the current regulation intensity coefficient. The adjustment direction can be increase or decrease, and the step size can be set according to the empirical value in the historical data, such as adjusting by 0.1 or 0.2 each time.

[0062] Further, during the adjustment process, methods such as linear adjustment or dynamic weighted adjustment can be adopted. Linear adjustment means adjusting by a fixed step size each time, while dynamic weighted adjustment dynamically adjusts the step size based on the current abnormal situation and historical data. Through these methods, an optimized regulation intensity coefficient can be generated, so as to better adapt to the real-time changes of the recovery reaction system and improve the regulation efficiency and recovery quality.

[0063] The above-mentioned various embodiments of the present invention have the following beneficial effects: 1. It can accurately identify the abnormal state of element migration: By collecting the multi-element characteristic parameter sequence and process parameter sequence of lithium iron phosphate waste in real time and combining with the migration rate analysis technology, it is possible to dynamically monitor the changes in the migration rates of key elements such as iron, lithium, and phosphorus, and timely identify abnormal acceleration or retardation migration states, providing accurate data support for subsequent intelligent regulation.

[0064] 2. It can dynamically optimize the recovery process parameters: Based on the element migration state information and process parameter sequence, a multi-level collaborative regulation strategy identifier is generated, and corresponding temperature, pressure, and flow rate compensation schemes are matched to achieve the adaptive adjustment of the recovery reaction system, effectively solving the problems of low recovery efficiency or resource waste caused by parameter lag in traditional processes.

[0065] 3. It can improve the system stability and traceability: Through the secondary calibration of the on-line detection device, the preliminary adjustment of the parameter buffer module, and the adjustment of the optimized regulation intensity coefficient under abnormal conditions, the reaction environment is ensured to be stable; at the same time, the abnormal data is associated with the batch number and process path and uploaded to the supervision platform, which is convenient for subsequent process optimization and problem tracing, and improves the reliability and repeatability of the recovery process.

[0066] Further, the storage medium of the embodiment of the present application stores program instructions capable of implementing all the above methods. Among them, the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: various media that can store program codes such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs, or terminal devices such as computers, servers, mobile phones, and tablets.

[0067] The above description is only some preferred embodiments of the present invention and an explanation of the technical principles applied. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by the specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) disclosed in the embodiments of the present invention that have similar functions.

Claims

1. An intelligent regulation method based on the multi-element migration kinetic model of lithium iron phosphate waste, characterized in that, Including: Obtaining a multi-element characteristic parameter sequence of lithium iron phosphate waste through a pretreatment device, and obtaining a process parameter sequence of a recycling reaction system; Performing migration feature extraction on each multi-element characteristic parameter in the multi-element characteristic parameter sequence to obtain element migration state information; In response to the element migration state information satisfying a preset regulation trigger condition, generating a multi-element collaborative regulation strategy identifier based on the process parameter sequence and the element migration state information; Generating a corresponding real-time regulation instruction based on the multi-element collaborative regulation strategy identifier, and sending the real-time regulation instruction to a process execution device for dynamic regulation operations, where the real-time regulation instruction is a parameter adjustment instruction executed on each process unit in the recycling reaction system.

2. The method according to claim 1, characterized in that, The performing migration feature extraction on each multi-element characteristic parameter in the multi-element characteristic parameter sequence to obtain element migration state information includes: performing migration rate analysis on each multi-element characteristic parameter in the multi-element characteristic parameter sequence to generate an element migration rate identifier sequence, where the migration rate identifiers in the element migration rate identifier sequence represent that iron, lithium, and phosphorus elements are respectively at a standard migration rate, an abnormal acceleration migration rate, or an abnormal retardation migration rate; In response to determining that each migration rate identifier in the element migration rate identifier sequence satisfies a preset rate threshold condition, generating element migration state information, where the element migration state information is information indicating that at least one of iron, lithium, and phosphorus elements has an abnormal migration rate.

3. The method according to claim 2, characterized in that, The generating a multi-element collaborative regulation strategy identifier based on the process parameter sequence and the element migration state information includes: obtaining a solution ion concentration detection value collected by an on-line detection device set in the recycling reaction system, where the on-line detection device is pre-calibrated; In response to determining that the element migration state information is information indicating that the iron element has an abnormal acceleration migration rate, generating a multi-element collaborative regulation strategy identifier representing primary collaborative regulation; In response to determining that the element migration state information is information indicating that the lithium element has an abnormal retardation migration rate and the solution ion concentration detection value is not within a preset concentration balance range, generating a multi-element collaborative regulation strategy identifier representing secondary collaborative regulation; In response to determining that the element migration state information is information indicating that the phosphorus element has an abnormal retardation migration rate and the solution ion concentration detection value is within a preset concentration balance range, generating a multi-element collaborative regulation strategy identifier representing tertiary collaborative regulation; Generating a reaction environment state identifier based on each process parameter in the process parameter sequence, where the reaction environment state identifier is an identifier representing the reaction temperature maintenance state, the reaction pressure maintenance state, the reaction temperature changing from the maintenance state to the fluctuation state, or the reaction pressure changing from the maintenance state to the fluctuation state; In response to determining that the element migration status information is information characterizing an abnormal retardation rate of lithium element migration, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier is an identifier indicating that the reaction temperature changes from a maintained state to a fluctuating state, generate a multi-element cooperative regulation strategy identifier characterizing four-level cooperative regulation; In response to determining that the element migration status information is information characterizing an abnormal retardation rate of phosphorus element migration, and the detected value of the solution ion concentration is not within a preset concentration equilibrium range, and the reaction environment status identifier is an identifier indicating that the reaction pressure changes from a maintained state to a fluctuating state, generate a multi-element cooperative regulation strategy identifier characterizing five-level cooperative regulation.

4. The method according to claim 3, characterized in that, Before generating the corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, the method further includes: sending a data review instruction to the on-line detection device for the on-line detection device to perform a secondary calibration operation to verify the detection accuracy; Controlling the parameter buffer module of the recovery reaction system to perform a preliminary adjustment operation to stabilize the reaction environment.

5. The method according to claim 3, characterized in that, Before generating the corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, the method further includes: in response to determining that the multi-element cooperative regulation strategy identifier is an identifier characterizing second-level cooperative regulation, third-level cooperative regulation, fourth-level cooperative regulation or fifth-level cooperative regulation, generating a set of process compensation parameters based on the process parameter sequence; Sending the set of process compensation parameters to the reaction control terminal to perform a compensation adjustment operation on the reaction conditions.

6. The method according to claim 5, characterized in that, Generating the corresponding real-time regulation instruction based on the multi-element cooperative regulation strategy identifier, and sending the real-time regulation instruction to the process execution device for dynamic regulation operation, including: for the multi-element cooperative regulation strategy identifier, performing the following multi-element cooperative regulation steps: Generating a corresponding element migration compensation plan based on the regulation level characterized by the multi-element cooperative regulation strategy identifier; Based on a preset regulation intensity coefficient corresponding to the regulation level characterized by the multi-element cooperative regulation strategy identifier, converting the element migration compensation plan into a real-time regulation instruction, and sending the real-time regulation instruction to the process execution device for dynamic regulation operation; In response to detecting that the element migration status information has recovered to a preset standard range within a preset time window, sending a data review termination instruction to the on-line detection device, and terminating the preliminary adjustment operation of the parameter buffer module.

7. The method according to claim 6, characterized in that, The method further includes: In response to not detecting that the element migration status information has recovered to a preset standard range within a preset time window, adjusting the preset regulation intensity coefficient to obtain an optimized regulation intensity coefficient; Determine the batch number of the lithium iron phosphate waste, the reaction system number, the recycling process path, and the element migration anomaly information as the renewable resource risk information. Among them, the renewable resource risk information characterizes the irreversible abnormal state that appears during the multi-element migration process. The element migration anomaly information includes at least one of the following: the multi-element characteristic parameter sequence, the process parameter sequence, the element migration state information, the multi-element collaborative regulation strategy identifier, and the optimized regulation intensity coefficient; Send the renewable resource risk information to the intelligent supervision platform for resource recycling for tracing and analyzing the recycling process of the lithium iron phosphate waste, and re-execute the multi-element collaborative regulation step according to the optimized regulation intensity coefficient.

8. The method according to claim 6, characterized in that, Generate a corresponding element migration compensation plan based on the regulation level characterized by the multi-element collaborative regulation strategy identifier, including: Based on the element type with abnormal migration rate in the element migration state information, match the corresponding basic compensation parameters from the preset compensation parameter library; Obtain the current dynamic parameters of the reaction temperature, reaction pressure, and solution flow rate in the process parameter sequence; Calculate and generate the temperature compensation amount, pressure compensation amount, and flow rate compensation amount based on the current dynamic parameters and the basic compensation parameters; Combine the temperature compensation amount, pressure compensation amount, and flow rate compensation amount into an element migration compensation plan, where the element migration compensation plan includes the execution parameter adjustment amounts for the temperature adjustment unit, pressure adjustment unit, and flow rate adjustment unit in the recycling reaction system.

9. The method according to claim 3, wherein, Generate the multi-element collaborative regulation strategy identifier representing the four-level collaborative regulation, including: Based on the abnormal retardation migration rate of lithium element in the element migration state information, analyze its migration retardation rate deviation value; Obtain the temperature fluctuation amplitude and frequency of the reaction temperature changing from the holding state to the fluctuating state in the reaction environment state identifier; Generate the temperature compensation coefficient and the lithium ion concentration compensation threshold through a preset compensation calculation model based on the migration retardation rate deviation value, the temperature fluctuation amplitude, and the frequency; Associate the temperature compensation coefficient and the lithium ion concentration compensation threshold with the multi-element collaborative regulation strategy identifier of the four-level collaborative regulation for matching the corresponding compensation adjustment priority level when generating the real-time regulation instruction.

10. The method according to claim 7, wherein, Adjust the preset regulation intensity coefficient to obtain the optimized regulation intensity coefficient, including: Based on the batch number of the lithium iron phosphate waste and the recycling process path in the renewable resource risk information, obtain the regulation intensity correction rule for the same batch or process path in the historical recycling process database; Determine the adjustment direction and step size of the current regulation intensity coefficient according to the level of the multi-element collaborative regulation strategy identifier in the element migration anomaly information and the adjustment times of the optimized regulation intensity coefficient; Based on the regulation intensity correction rule, the adjustment direction, and the step size, perform linear adjustment or dynamic weighted adjustment on the preset regulation intensity coefficient to generate the optimized regulation intensity coefficient, where the optimized regulation intensity coefficient is positively correlated with the real-time regulation response efficiency of the recycling reaction system.

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