CN120346903B

CN120346903B - Multistage magnetic separation equipment for high-purity iron powder and magnetic separation method thereof

Info

Publication number: CN120346903B
Application number: CN202510850456.5A
Authority: CN
Inventors: 刘文臣; 刘文斌
Original assignee: Hebei Yuanda Zhongzheng Biotechnology Co ltd
Current assignee: Hebei Yuanda Zhongzheng Biotechnology Co ltd
Priority date: 2025-06-24
Filing date: 2025-06-24
Publication date: 2025-08-15
Anticipated expiration: 2045-06-24
Also published as: CN120346903A

Abstract

The present invention provides a multi-stage magnetic separation device for high-purity iron powder and a magnetic separation method thereof, which relates to the field of magnetic separation technology. The device includes: a component characteristic calling module for calling multimodal iron powder component characteristics; a control parameter mapping module for performing multi-stage magnetic separation control parameter mapping to generate N-stage benchmark magnetic separation control parameters; a magnetic separation processing module for executing N-stage magnetic separation processing of the iron powder to be purified. The magnetic separation processing module includes: a closed-loop control unit for executing single-level magnetic separation parameter dynamic closed-loop control according to the results of synchronous laser-induced breakdown spectroscopy analysis; a joint adjustment optimization unit for executing joint adjustment optimization of cross-level Gaussian setting benchmarks; and an iterative execution unit. The present invention solves the technical problem that the magnetic separation process in the prior art is usually only applicable to a single magnetic separation stage and cannot be effectively optimized in multiple magnetic separation stages, resulting in the magnetic separation process being unable to fully optimize the processing conditions of each stage, thereby affecting the final iron powder purity.

Description

Multistage magnetic separation equipment for high-purity iron powder and magnetic separation method thereof

Technical Field

The invention relates to the technical field of magnetic separation, in particular to multistage magnetic separation equipment and a magnetic separation method for high-purity iron powder.

Background

The high-purity iron powder is widely applied to the fields such as powder metallurgy, magnetic materials, high-end electronic devices and the like, with the development of industrial technology, the requirement on the purity of the high-purity iron powder is continuously increased, and particularly in high-end manufacturing industry and high-tech industry, the requirement on the purity of the iron powder is more and more strict, so that how to effectively remove impurities in the iron powder and improve the purity of the iron powder becomes a key technical challenge in the current iron powder production process.

However, the prior art mostly relies on preset fixed parameters such as magnetic field intensity and magnetic separation time to treat iron powder, and the fixed control parameters lead to the fact that the magnetic separation process cannot flexibly cope with iron powder particles with different granularity and magnetic intensity, so that the magnetic separation effect is not ideal, incomplete impurity removal or excessive separation can be caused, and the purity of a final product is influenced.

Disclosure of Invention

The application provides multistage magnetic separation equipment and a magnetic separation method of high-purity iron powder, and aims to solve the technical problems that in the prior art, a magnetic separation process is generally only applicable to a single magnetic separation stage, and cannot be effectively optimized in a plurality of magnetic separation stages, so that the magnetic separation process cannot fully optimize the treatment condition of each stage, and the purity of the final iron powder is affected.

The application discloses a first aspect of high-purity iron powder, which comprises a component characteristic calling module, a control parameter mapping module, a magnetic separation processing module and an iterative execution unit, wherein the component characteristic calling module is used for calling multi-mode iron powder component characteristics in a cross-device mode, the control parameter mapping module is used for carrying out multi-level magnetic separation control parameter mapping according to the multi-mode iron powder component characteristics to generate N-level reference magnetic separation control parameters, each level of reference magnetic separation control parameters consists of a Gaussian setting reference, a Gaussian adjustable interval and an execution time reference, the magnetic separation processing module is used for carrying out N-level magnetic separation processing of iron powder to be purified according to the N Gaussian setting references by a magnetic separation hardware system, the magnetic separation processing module comprises a closed-loop control unit used for carrying out single-level magnetic separation parameter dynamic closed-loop control in the N Gaussian adjustable intervals according to the synchronous laser induced breakdown spectrum analysis result of a LIBS probe, the joint adjustment optimizing unit is used for carrying out joint adjustment optimization of the cross-level Gaussian setting reference according to impurity distribution thermal maps of N execution time ends, and the iterative execution unit is used for carrying out iterative execution until N-level iron powder magnetic separation is completed to produce target purity iron powder.

The application discloses a second aspect, which provides a multistage magnetic separation method of high-purity iron powder, wherein the method is implemented through multistage magnetic separation equipment of the high-purity iron powder, and comprises the steps of cross-equipment calling multi-mode iron powder component characteristics, performing multistage magnetic separation control parameter mapping according to the multi-mode iron powder component characteristics to generate N-level reference magnetic separation control parameters, wherein each level of reference magnetic separation control parameters consists of a Gaussian setting reference, a Gaussian adjustable interval and an execution time reference, when a magnetic separation hardware system takes N execution time references as magnetic separation time limit and executes N-level magnetic separation processing processes of the iron powder to be purified according to the N Gaussian setting references, step a is used for executing single-level magnetic separation parameter dynamic closed-loop control in the N Gaussian adjustable intervals according to the synchronous laser induced breakdown spectrum analysis result of an LIBS probe, step b is used for executing cross-level Gaussian setting reference joint adjustment optimization according to impurity distribution thermodynamic diagram of N execution time ends, and iterative execution is carried out until N-level magnetic separation is completed, and the target purity iron powder is produced.

The one or more technical schemes provided by the application have at least the following beneficial effects:

By calling the multi-mode iron powder component characteristics across equipment, the physical and chemical characteristics of the iron powder can be comprehensively known, accurate data support is provided for the subsequent magnetic separation process, and the magnetic separation parameters can be pertinently adjusted in the magnetic separation process; according to the multi-mode iron powder component characteristics of the iron powder, generating N-level reference magnetic separation control parameters through multi-level magnetic separation control parameter mapping, wherein the control parameters of each level comprise Gaussian setting reference, gaussian adjustable interval and execution time reference, ensuring that the iron powder with different granularity and magnetic strength can be accurately processed in the magnetic separation process, thus effectively grading the iron powder, improving purity, taking N execution time references as magnetic separation time limits, ensuring that the processing time of each level of magnetic separation is accurately controlled, avoiding over-processing or under-processing, adjusting the magnetic field strength and the processing time according to the result of the previous stage in the time limit of each magnetic separation level, thereby gradually removing impurities in the iron powder, detecting the concentration of impurities on the iron powder surface layer in real time through LIBS probe synchronous laser induced breakdown spectroscopy analysis in the magnetic separation process, dynamically adjusting the magnetic separation parameters according to real time data, forming closed-loop control, responding to the change of the concentration of the impurities in real time, ensuring that each magnetic separation level can reach the optimal removal effect, generating an impurity distribution thermodynamic diagram at the end of each magnetic separation stage, optimizing the control parameters in the subsequent stage, optimizing the magnetic separation stage, adjusting the magnetic separation parameters according to the result of the Gaussian adjustment until the optimal purity is achieved through the optimal magnetic separation operation, the magnetic separation level is further optimizing the magnetic separation process, the optimal purity removal target is achieved through the iteration control, the optimal magnetic separation level, the optimal impurity removal target is achieved, the result of each stage influences the control strategy of the subsequent stage, thereby ensuring that the whole magnetic separation process can remove impurities with high efficiency and finally producing high-purity iron powder.

The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.

Drawings

Fig. 1 is a schematic structural diagram of a multistage magnetic separation device for high-purity iron powder according to an embodiment of the present application.

Fig. 2 is a schematic flow chart of a multistage magnetic separation method for high-purity iron powder provided by the embodiment of the application.

Reference numerals illustrate the component characteristic calling module 10, the control parameter mapping module 20, the magnetic separation processing module 30, the closed-loop control unit 31, the joint debugging optimizing unit 32 and the iteration executing unit 33.

Detailed Description

The embodiment of the application provides multistage magnetic separation equipment and a magnetic separation method for high-purity iron powder, which solve the technical problems that the magnetic separation process in the prior art is generally only applicable to a single magnetic separation stage, cannot be effectively optimized in a plurality of magnetic separation stages, and cannot fully optimize the treatment condition of each stage in the magnetic separation process, so that the purity of the final iron powder is affected.

Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

In a first embodiment, as shown in fig. 1, an embodiment of the present application provides a multi-stage magnetic separation apparatus for high purity iron powder, the apparatus including:

The component characteristic calling module 10 is used for calling the multi-mode iron powder component characteristic across devices.

The control parameter mapping module 20 is configured to perform multi-stage magnetic separation control parameter mapping according to the multi-mode iron powder component characteristics, and generate N-stage reference magnetic separation control parameters, where each stage of reference magnetic separation control parameters is composed of a gaussian setting reference, a gaussian adjustable interval and an execution time reference.

The magnetic separation processing module 30 is configured to perform an N-level magnetic separation processing process of the iron powder to be purified according to N gaussian setting references by using the N execution time references as magnetic separation time limits, where the magnetic separation processing module includes:

And the closed-loop control unit 31 is used for executing single-layer magnetic separation parameter dynamic closed-loop control in N Gaussian adjustable intervals according to the analysis result of the synchronous laser-induced breakdown spectroscopy of the LIBS probe.

And a joint tone optimizing unit 32 for performing joint tone optimization of the cross-level gaussian setting reference based on the impurity distribution thermodynamic diagram at the end of the N execution times.

And the iteration execution unit 33 is used for carrying out iteration until the N-level iron powder magnetic separation is completed, so as to produce the target purity iron powder.

Further, the joint debugging unit further includes:

And the pre-selection stage magnetic separation processing channel is used for starting the feeder to convey the iron powder to be purified into the magnetic separation hardware system to execute pre-selection stage magnetic separation processing after the magnetic separation hardware system is operated by adopting a first Gaussian set reference of a first stage reference magnetic separation control parameter.

And the spectrum analysis channel is used for synchronously operating the LIBS probe to carry out laser-induced breakdown spectrum analysis on the conveyed iron powder in the pre-selection stage magnetic separation treatment process and outputting a real-time surface impurity concentration sequence.

And the dynamic parameter adjustment updating channel is used for executing the dynamic parameter adjustment updating of the first Gaussian setting reference by taking the first Gaussian adjustable interval as a constraint according to the multi-element impurity fluctuation characteristic of the real-time surface layer impurity concentration sequence until the first execution time reference is reached, and generating a first impurity distribution thermodynamic diagram.

Further, the iterative execution unit further includes:

And the cross-stage pre-correction channel is used for performing cross-stage pre-correction on the second Gaussian set reference according to the first impurity distribution thermodynamic diagram to obtain a second Gaussian joint modulation parameter.

And the parameter adjustment updating channel is used for executing parameter adjustment updating of the second Gaussian joint adjustment parameter according to the surface layer impurity concentration data synchronously detected by the LIBS probe in the process of adopting the second Gaussian joint adjustment parameter to operate the magnetic separation hardware system to perform secondary magnetic separation, and outputting a second impurity distribution thermodynamic diagram until the magnetic separation time length reaches a second execution time reference.

And the Gaussian reference pre-joint adjustment channel is used for dynamically adjusting magnetic separation parameters in the single-layer magnetic separation process based on the surface layer impurity concentration iteration, and iteratively executing cross-layer Gaussian reference pre-joint adjustment based on the hierarchical impurity thermodynamic distribution until the N-level reference magnetic separation control parameters are finished, so that the target purity iron powder is produced.

Further, the dynamic parameter adjustment update channel includes:

the Gaussian adjustment action library construction node is used for interactively obtaining a plurality of groups of Gaussian adjustment actions of various iron powder impurities in a plurality of groups of impurity fluctuation scenes to construct a Gaussian adjustment action library.

And the parallel matching node is used for inputting the multi-element impurity fluctuation characteristic as a multi-element search condition into the Gaussian adjustment action library to match the multi-element Gaussian adjustment action of the multi-element impurity fluctuation scene in parallel.

And the union solving node is used for performing union solving on the multi-element Gaussian adjustment action and positioning the first real-time adjustment action.

And the parameter adjustment updating node is used for executing parameter adjustment updating of the first Gaussian setting standard by adopting the first real-time adjustment action.

And the data acquisition node is used for driving the LIBS probe to acquire instantaneous impurity concentration data when the first Gaussian set reference is dynamically updated and the first execution time reference end is reached, and synthesizing the first impurity distribution thermodynamic diagram.

Further, the cross-stage pre-correction channel comprises:

The thermodynamic characteristic detection network construction node is used for pre-constructing a thermodynamic characteristic detection network, wherein the thermodynamic characteristic detection network comprises M thermodynamic diagram characteristic identification channels.

And the feature parallel recognition node is used for carrying out feature parallel recognition through the M thermodynamic diagram feature recognition channels after loading the first impurity distribution thermodynamic diagram to the thermodynamic feature detection network, and outputting M real-time thermodynamic diagram quantized features.

And the cross-stage pre-correction node is used for performing cross-stage pre-correction on the second Gaussian set reference after performing pre-correction action matching according to the M real-time thermodynamic diagram quantification characteristics to obtain the second Gaussian joint adjustment parameter.

Further, the cross-stage pre-correction node includes:

the standard pre-correction actions set sub-nodes for locally setting M sets of standard pre-correction actions for the M sets of thermodynamic diagram quantification feature thresholds.

And the action extraction sub-node is used for extracting M standard pre-correction actions from the M groups of standard pre-correction actions by adopting the intersection relation of the M real-time thermodynamic diagram quantification characteristics at the M groups of thermodynamic diagram quantification characteristic thresholds.

And the conflict compensation sub-node is used for carrying out conflict compensation on the M standard pre-correction actions to obtain a first pre-correction action.

And the cross-stage pre-correction sub-node is used for performing cross-stage pre-correction on the second Gaussian setting reference by adopting the first pre-correction action to obtain the second Gaussian joint adjustment parameter.

Furthermore, the dynamic parameter adjusting updating channel is used for inputting a space mapping result of space coordinate mapping of the instantaneous impurity concentration data into a predefined impurity concentration-tone scale mapping table for gradient coloring synthesis to obtain the first impurity distribution thermodynamic diagram.

Further, the multi-modal iron powder component characteristics include particle size distribution curve, saturation magnetization distribution, coercivity distribution, and initial impurity profile.

Further, the control parameter mapping module includes:

And the first matching unit is used for obtaining a first multistage initialization magnetic separation control parameter by matching in the retention time spectrum mapping table according to the median particle size position and the median particle size distribution width ratio after analyzing the particle size distribution curve and positioning the median particle size position and the median particle size distribution width ratio.

And the second matching unit is used for matching the field strong response spectrum mapping table according to the calculated central tendency value of the saturation magnetization distribution and the high value area duty ratio of the coercivity distribution to obtain a second multistage initialization magnetic separation control parameter.

And the third matching unit is used for obtaining a third multistage initialization magnetic separation control parameter after extracting the impurity concentration group corresponding to the core impurity group from the initial impurity mass spectrum and matching the element removal response spectrum mapping table.

And the conflict parameter arbitration unit is used for carrying out conflict parameter arbitration on the first multi-stage initialization magnetic separation control parameter, the third multi-stage initialization magnetic separation control parameter and outputting the N-stage reference magnetic separation control parameter.

The present specification will be described in more detail by a method for multistage magnetic separation of high purity iron powder, and those skilled in the art will be aware of the apparatus for multistage magnetic separation of high purity iron powder according to this embodiment, and since it corresponds to the method disclosed in the examples, the description will be relatively simple, and the relevant points will be described in the method section.

In a second embodiment, based on the same inventive concept as the multi-stage magnetic separation apparatus for high-purity iron powder in the previous embodiment, as shown in fig. 2, an embodiment of the present application provides a multi-stage magnetic separation method for high-purity iron powder, the method comprising:

calling multi-mode iron powder component characteristics across devices;

The multi-modal iron powder component characteristics refer to different physical and chemical characteristics of an iron powder sample obtained through a plurality of testing devices, including a particle size distribution curve, a saturation magnetization distribution, a coercivity distribution and an initial impurity spectrum, for example, the particle size distribution curve of the iron powder is obtained through a particle size analyzer, the saturation magnetization distribution of the iron powder is obtained through a magnetization testing device, the coercivity distribution of the iron powder is obtained through a coercivity testing device, and cross-device calling means that data among different testing devices can be mutually shared and combined, so that the complete multi-angle multi-modal iron powder component characteristics are generated.

And carrying out multistage magnetic separation control parameter mapping according to the multi-mode iron powder component characteristics to generate N stages of reference magnetic separation control parameters, wherein each stage of reference magnetic separation control parameters consists of a Gaussian setting reference, a Gaussian adjustable interval and an execution time reference.

The multi-stage magnetic separation control parameter mapping is performed according to the characteristics of the multi-mode iron powder component, and aims to generate accurate control parameters for each magnetic separation stage so as to optimize the magnetic separation process, and the magnetic separation parameters of different particle size sections are determined according to the particle size distribution curve of the iron powder, for example, higher magnetic field intensity and shorter execution time are needed for finer particles so as to avoid over-purification of the particles due to overlarge magnetic field intensity, the iron powder particles with high magnetization intensity are influenced by stronger magnetic force for saturated magnetization distribution, the magnetic separation parameters of the particles are different, the corresponding magnetic field intensity and execution time are calculated according to the saturated magnetization distribution, the particles with larger coercivity are more difficult to remove, the magnetic separation parameters are needed to be adjusted according to the coercivity distribution, the initial impurity mass spectrum provides the concentration distribution condition of impurities, the removal target of the impurities is obtained through matching with the core impurity group, and the control parameters of each stage of magnetic separation are adjusted accordingly.

Based on the mapping, N-level reference magnetic separation control parameters are generated, and the divided magnetic separation levels can comprise a pre-selection level, a fine selection level and a reverse selection level, wherein a Gaussian setting reference is a setting value of an initial condition and is used as a starting standard of magnetic separation operation, a Gaussian adjustable interval refers to a magnetic field intensity range which can be adjusted in each magnetic separation level and represents an adjusting space in a magnetic separation process, and a time reference is the time requirement of each magnetic separation operation, so that the magnetic separation process is completed within a specified time.

The parameter mapping method ensures that the magnetic separation process can be adjusted in a targeted manner in each stage, so that the finally obtained iron powder has higher purity.

The magnetic separation hardware system takes N execution time references as magnetic separation time limit, and when N-level magnetic separation treatment processes of the iron powder to be purified are executed according to N Gaussian setting references:

And a step a of executing single-layer magnetic separation parameter dynamic closed-loop control in N Gaussian adjustable intervals according to the analysis result of the synchronous laser-induced breakdown spectroscopy of the LIBS probe.

And b, performing joint debugging optimization of a cross-level Gaussian setting reference according to the impurity distribution thermodynamic diagram of the N execution time ends.

And performing iterative execution until the N-level iron powder magnetic separation is completed, and producing the target purity iron powder.

The execution time reference is the time requirement of each stage of magnetic separation operation, each stage of magnetic separation operation has a preset time length, the duration time of the magnetic separation process is controlled, and N execution time references of N stages of magnetic separation processes are used as magnetic separation time limits, so that the magnetic separation processing of each stage is ensured to be completed within a preset time. The gaussian setting standard is the setting value of the initial condition, usually based on gaussian distribution, in the magnetic separation process, the control strategy of each stage is determined by using N gaussian setting standards of the N-stage magnetic separation process, and the magnetic separation control of each stage is optimized according to the gaussian setting standard, so that the magnetic separation operation of each stage can be maximally adjusted according to the current iron powder characteristic. The N-level magnetic separation treatment process of the iron powder to be purified comprises the following steps:

LIBS (laser induced breakdown spectroscopy) is a technology commonly used for analyzing substance components, wherein a laser is utilized to excite the surface of a substance, plasma is excited, and element composition information is obtained through spectrum analysis, the method is particularly applied to analysis of the impurity concentration of a surface layer in real time in the process, the LIBS probe detects the impurity concentration in iron powder to be purified in real time, and a laser induced spectrum is generated, so that the distribution condition of different impurity elements in the iron powder is obtained.

The Gaussian adjustable interval refers to a magnetic field intensity range which can be adjusted in each magnetic separation level, represents an adjusting space in a magnetic separation process, and in the intervals, a magnetic separation hardware system dynamically adjusts according to LIBS analysis results, wherein single-level magnetic separation parameter dynamic closed-loop control refers to real-time adjustment of parameters of the current magnetic separation level according to impurity concentration data obtained by a LIBS probe, magnetic separation parameters such as magnetic field intensity, execution time and the like can be dynamically adjusted by monitoring the impurity concentration in real time and feeding back to a control system so as to optimize a magnetic separation effect, and the process can respond to the change of the impurity concentration in iron powder in real time by dynamic closed-loop control, accurately adjust the magnetic separation parameters, ensure that magnetic separation of each level achieves an optimal effect, avoid unnecessary excessive or insufficient magnetic separation, and improve the purity of the iron powder.

At the end of each magnetic separation stage, impurity distribution thermodynamic diagrams are generated, and the impurity distribution thermodynamic diagrams show the impurity distribution conditions at different execution time points, reflect the impurity removal effect after each stage of magnetic separation operation, and help identify which magnetic separation stages still need to be optimized.

The cross-level joint debugging optimization refers to optimizing and adjusting Gaussian setting references by combining an impurity distribution thermodynamic diagram of each level at the end of execution time of all magnetic separation levels, specifically, in the processing process of each magnetic separation level, the magnetic separation parameters of the next level are adjusted according to information feedback of the impurity distribution thermodynamic diagram, the optimization process involves adjusting the Gaussian setting references according to the information of the impurity distribution thermodynamic diagram so as to ensure that the magnetic separation of each level can effectively remove impurities, and the processing parameters of the subsequent level can be mutually coordinated with the operation of the previous level, so that the purity is further improved. The cross-level optimization ensures coordination among magnetic separation operations of various levels, so that the system can accurately adjust parameters at each stage, parameter conflict or mismatch among different levels is avoided, the magnetic separation process can be gradually optimized through real-time feedback of impurity distribution and adjustment setting reference, and the purity of the final iron powder is ensured to reach target requirements.

The magnetic separation process is continuously executed, parameters of the subsequent stages are adjusted according to the result of the previous stage, the iterative execution ensures that the magnetic separation of each stage can be optimized according to real-time feedback data, the output data of each stage can be fed back into the system, the magnetic separation parameters are further optimized, impurities can be removed to the greatest extent in the multistage magnetic separation process by continuously adjusting the magnetic separation parameters, and the purity of the final iron powder is higher and higher. And carrying out magnetic separation on the N-level iron powder, wherein the finally produced iron powder reaches the required purity standard, and the target purity iron powder is obtained.

Further, the method further comprises:

And starting a feeder to convey iron powder to be purified into the magnetic separation hardware system to execute pre-selection stage magnetic separation treatment after a first Gaussian setting reference of first stage reference magnetic separation control parameters is adopted, synchronously running an LIBS probe to perform laser-induced breakdown spectroscopy analysis on conveyed iron powder in the pre-selection stage magnetic separation treatment process to output a real-time surface layer impurity concentration sequence, and executing dynamic parameter adjustment updating of the first Gaussian setting reference by taking a first Gaussian adjustable interval as a constraint according to the multi-element impurity fluctuation characteristic of the real-time surface layer impurity concentration sequence until the first execution time reference is reached, and stopping to generate a first impurity distribution thermodynamic diagram.

The pre-selection level magnetic separation treatment is the first step in the magnetic separation process, the aim is to remove the impurities which are simpler and easy to separate in the iron powder, coarse particle impurities in the iron powder and components which can be effectively removed through simple magnetic separation are generally treated at the stage, the first level reference magnetic separation control parameters provide preliminary magnetic separation setting for the pre-selection level magnetic separation treatment process, the first Gaussian setting reference operation magnetic separation hardware system of the first level reference magnetic separation control parameters is adopted, in the magnetic separation hardware system, the feeder is responsible for conveying the iron powder to be purified into the magnetic separation hardware system, and the conveying capacity and the speed of the feeder are required to be adjusted according to the processing capacity of magnetic separation equipment and the characteristics of the iron powder, so that the iron powder can be ensured to uniformly enter the magnetic separation system.

In the process of pre-selection level magnetic separation treatment, an LIBS probe detects the concentration of impurities in iron powder to be purified in real time and generates a laser induction spectrum, so that the distribution condition of different impurity elements in the iron powder is obtained, synchronous operation means that the LIBS probe can continuously analyze the impurity concentration data of the surface layer of the iron powder while the pre-selection level magnetic separation treatment is performed, the process is performed synchronously with the magnetic separation process, the impurity change of each stage can be accurately captured, the real-time surface layer impurity concentration sequence is the data collected at each moment through the LIBS probe, the concentration change of impurities on the surface of the iron powder is represented, the data sequence provides the concentration change condition of different impurity elements in the surface layer of the iron powder, and the analysis of which impurities are removed and which still exist in the magnetic separation process is facilitated.

The multi-component impurity fluctuation characteristic refers to a time-dependent change mode of the concentration of different types of impurities in the surface layer of the iron powder, and as the iron powder contains various impurity elements, the fluctuation characteristic of the concentration of the impurities tends to be multi-component, and different impurities show different fluctuation characteristics in different time periods, for example, certain impurities can be removed quickly in a short time, and other impurities can be removed more slowly.

The adjustable Gaussian interval is the range of the magnetic field intensity which can be adjusted in the magnetic separation process, and in the step, the first adjustable Gaussian interval is used as an adjusting range for limiting the dynamic adjustment of magnetic separation parameters, and the constraint ensures that the magnetic separation parameters cannot deviate from the set range in the dynamic adjustment process, so that the excessive adjustment of the system is avoided. The first Gaussian adjustable interval is used as constraint, the first Gaussian setting reference is dynamically updated, the dynamic parameter adjustment is updated based on impurity concentration data, the magnetic separation process can be effectively removed according to different impurity types, the magnetic separation process is continuously optimized according to real-time data, the impurity removal efficiency is improved, the magnetic separation parameters are adjusted according to the current impurity concentration change at each time point, and the magnetic separation process of each stage can be ensured to adapt to different characteristics of impurities.

The first execution time reference is the maximum duration of the pre-selection stage magnetic separation, when the time in the pre-selection stage magnetic separation process reaches the first execution time reference, the adjustment process is stopped and the next stage of processing is ready to be carried out, at the end of the first execution time reference, a first impurity distribution thermodynamic diagram is generated according to the impurity removal condition in the magnetic separation process, the thermodynamic diagram is a visualization tool, the change condition of the impurity distribution in each stage in the magnetic separation process is displayed, the first impurity distribution thermodynamic diagram shows the distribution condition of the impurity concentration in a color gradation mode, the high concentration areas can be displayed in different colors, the analysis and the optimization of the magnetic separation processing are facilitated, and the first impurity distribution thermodynamic diagram is used for further analyzing which areas have poor impurity removal effect, so that corresponding adjustment is carried out in the subsequent magnetic separation processing.

Further, the method further comprises:

Performing cross-level pre-correction on a second Gaussian set reference according to the first impurity distribution thermodynamic diagram to obtain a second Gaussian joint debugging parameter, performing parameter adjustment updating of the second Gaussian joint debugging parameter according to surface layer impurity concentration data synchronously detected by the LIBS probe in the process of performing secondary magnetic separation processing by adopting the second Gaussian joint debugging parameter to operate the magnetic separation hardware system until the magnetic separation duration reaches a second execution time reference, outputting a second impurity distribution thermodynamic diagram, performing dynamic adjustment on the magnetic separation parameter in the single-level magnetic separation process based on surface layer impurity concentration iteration, performing cross-level Gaussian reference pre-joint debugging based on level impurity thermodynamic distribution iteration, and performing until the N-level reference magnetic separation control parameter is finished, thereby obtaining the target purity iron powder.

The cross-stage pre-correction is to adjust control parameters of the second-stage magnetic separation according to a first-stage magnetic separation result (namely a first impurity distribution thermodynamic diagram), the requirement of the second-stage magnetic separation treatment can be estimated by analyzing the characteristics of impurity distribution in the first thermodynamic diagram, and relevant control parameters such as magnetic field intensity, execution time and the like are adjusted, the second Gaussian setting standard is the control standard of the second-stage magnetic separation (such as a carefully selected stage), and the second Gaussian setting standard is optimized according to the data in the first thermodynamic diagram, so that residual impurities can be removed better in the second-stage magnetic separation treatment process. The second Gaussian joint debugging parameter is a magnetic separation control parameter obtained through cross-stage correction, so that the second-stage magnetic separation process can be adapted to the result of the first-stage magnetic separation.

After the second gaussian joint modulation parameters are obtained, the optimized parameters are adopted to operate a magnetic separation hardware system to carry out secondary magnetic separation treatment, and the process is carried out in a secondary magnetic separation level, so that the residual impurities are further removed. LIBS probes synchronously operate in the secondary magnetic separation process, and concentration data of impurities on the surface layer of the iron powder in the magnetic separation process are monitored in real time, and can reflect the impurity removal efficiency at the stage and the impurity components still have problems.

According to the surface layer impurity concentration data acquired in real time, parameter adjustment and updating of a second Gaussian joint adjustment parameter are carried out, which means that magnetic separation parameters such as magnetic field intensity, execution time and the like are adjusted in real time according to the current impurity removal condition so as to improve the magnetic separation effect, a second execution time reference is set secondary magnetic separation processing time, the secondary magnetic separation process is controlled according to the reference, when the secondary magnetic separation processing time reaches the second execution time reference, the secondary magnetic separation process is automatically stopped and ready to enter the next stage, and a second impurity distribution thermodynamic diagram is generated after the secondary magnetic separation processing is finished, wherein the thermodynamic diagram shows the impurity distribution condition of each region in the secondary magnetic separation processing process, and visual data are provided for subsequent analysis.

The surface layer impurity concentration is concentration data of iron powder surface impurities obtained through real-time monitoring by a LIBS probe, and in the single-layer magnetic separation process, magnetic separation parameters are dynamically adjusted according to the surface layer impurity concentration, wherein the magnetic separation parameters comprise magnetic field intensity, execution time and the like, the dynamic adjustment is realized through real-time feedback, the maximum impurity removal of each layer of magnetic separation process is ensured, and the process efficiency is maintained.

The hierarchical impurity thermodynamic distribution is used for representing the distribution condition of impurities in different magnetic separation hierarchies, thermodynamic diagrams can intuitively show the effect of removing impurities in each magnetic separation stage, help judge which areas are poor in impurity removal effect, and cross-hierarchical Gaussian standard pre-joint adjustment is to iteratively adjust Gaussian standard and other magnetic separation control parameters according to hierarchical impurity thermodynamic distribution generated after each stage of magnetic separation treatment, which means that not only current-level magnetic separation parameters are adjusted, but also subsequent-stage magnetic separation parameters are adjusted according to the impurity distribution condition of the previous stage so as to ensure coordination among magnetic separation operations of each stage, and each parameter in the magnetic separation process is optimized step by step through iterative optimization, so that the impurity removal effect is maximized.

And continuously and iteratively executing N-level reference magnetic separation control parameters until the magnetic separation processing process of all levels is completed, and adjusting the magnetic separation of each stage according to the result of the previous stage, so that the effect and purity of each stage of magnetic separation are ensured to be gradually improved, and dynamically adjusting the magnetic separation parameters according to the result of each stage by iteratively executing all stages of magnetic separation processing, so that the target purity iron powder is finally obtained, and the overall effect of magnetic separation is improved.

Further, according to the multi-element impurity fluctuation characteristic of the real-time surface layer impurity concentration sequence, a first gaussian adjustable section is taken as a constraint, the dynamic parameter adjustment updating of the first gaussian setting reference is executed until the first execution time reference is reached, and a first impurity distribution thermodynamic diagram is generated, wherein the method comprises the following steps:

The method comprises the steps of interactively obtaining a plurality of groups of Gaussian adjustment actions of various iron powder impurities in a plurality of groups of impurity fluctuation scenes to construct a Gaussian adjustment action library, inputting the multi-element impurity fluctuation characteristics as multi-element retrieval conditions into the Gaussian adjustment action library to be matched with the multi-element Gaussian adjustment actions of the multi-element impurity fluctuation scenes in parallel, carrying out union solution on the multi-element Gaussian adjustment actions to locate a first real-time adjustment action, adopting the first real-time adjustment action to execute parameter adjustment updating of a first Gaussian setting reference, carrying out dynamic parameter adjustment updating on the first Gaussian setting reference, and driving an LIBS probe to carry out instantaneous impurity concentration data acquisition and synthesizing the first impurity distribution thermodynamic diagram when the first execution time reference end is reached.

The iron powder impurities refer to different types of impurity components in the iron powder, the impurities have different physical and chemical characteristics, for example, the impurities comprise elements such as silicon, phosphorus, aluminum and the like, the removal effect of the impurities can be influenced by parameter changes in the magnetic separation process, and the multiple groups of impurity fluctuation scenes refer to different modes of concentration change of the impurities in the magnetic separation process, wherein the fluctuation scenes reflect the removal characteristics of the impurities, for example, certain impurities can be removed rapidly, certain impurities can be removed slowly, and the removal of each impurity under different conditions is different, so that different adjustment strategies are needed. The Gaussian adjustment action library is used for generating a set of alternative magnetic separation adjustment actions by collecting fluctuation scenes of various impurities, the adjustment actions are based on Gaussian distribution, each Gaussian adjustment action represents a specific control action, such as increasing magnetic field intensity, prolonging magnetic separation time and the like, and the selective adjustment can be carried out under different fluctuation scenes through analysis of different impurity fluctuation scenes.

The multi-element impurity fluctuation characteristic refers to concentration fluctuation characteristics of various impurity elements in the magnetic separation process, the multi-element impurity fluctuation characteristic is input into a Gaussian adjustment action library as a search condition, the corresponding Gaussian adjustment action is inquired by a parallel matching mechanism while considering the fluctuation characteristics of the various impurities, the multi-element Gaussian adjustment action is a group of Gaussian distribution control parameter adjustment strategies generated for various impurity fluctuation scenes, and the actions comprise not only increasing or reducing magnetic field intensity, but also time adjustment, change of sorting intensity and the like, so that each impurity can be ensured to obtain an optimal removal effect according to the fluctuation characteristics.

After the multiple Gaussian adjustment actions are matched, the obtained adjustment actions are subjected to union solution, which means that a plurality of Gaussian adjustment actions are combined, an adjustment strategy which is most suitable for the current magnetic separation process is found, in the union solution process, the maximum value is taken as a reference offset, the minimum value is taken as a protection threshold for the magnetism rising action, the median value of an adjustable section is taken for the collision action, specifically, the magnetism rising action refers to the action of enhancing the magnetic field intensity, when the magnetic field intensity needs to be improved, the maximum value is taken as the offset, the effective magnetic force increase is ensured to remove impurities which are difficult to separate, the reference offset refers to the action of reducing the magnetic field intensity, when the removal efficiency of certain impurities is detected to be higher, or the strong magnetic field possibly causes overseparation, the minimum value is taken as the protection threshold, the collision action refers to the action of selecting the median value of two operations (such as magnetism rising and magnetism falling) which need to be mutually adjusted under the same scene, the action is taken as one of the median value of the adjustable section, and the action is taken as the offset value, and the action of ensuring that the system is insufficient or can not be adjusted in the process. And finally determining the first real-time adjustment action by solving a union of the plurality of adjustment actions.

The first Gaussian setting reference is a preliminary control reference of the primary magnetic separation process, the first real-time adjustment action is adopted to carry out parameter adjustment and update on the first Gaussian setting reference, parameter adjustment and update mean that the initial first Gaussian setting reference is adjusted so as to adapt to the current impurity concentration, the iron powder characteristic and the magnetic separation effect, and through the adjustment, the magnetic separation process becomes more flexible and efficient, accurate control can be carried out on the characteristics of different impurities, and better removal effect is ensured.

In the magnetic separation process, dynamic parameter adjustment and updating are continuously performed until a preset first execution time reference is reached, when the magnetic separation process reaches the tail end of the first execution time reference, a LIBS probe is started to drive the LIBS probe to acquire instantaneous impurity concentration data, and a first impurity distribution thermodynamic diagram is generated in a synthesized mode according to the instantaneous impurity concentration data and is used for displaying impurity distribution conditions of all positions of iron powder in the whole magnetic separation process.

Further, performing cross-stage pre-correction on a second Gaussian set reference according to the first impurity distribution thermodynamic diagram to obtain a second Gaussian joint debugging parameter, wherein the method comprises the following steps:

the method comprises the steps of pre-constructing a thermodynamic characteristic detection network, loading the first impurity distribution thermodynamic diagram into the thermodynamic characteristic detection network, carrying out characteristic parallel identification through the M thermodynamic diagram characteristic identification channels, outputting M real-time thermodynamic diagram quantification characteristics, carrying out pre-correction action matching according to the M real-time thermodynamic diagram quantification characteristics, and carrying out cross-stage pre-correction on the second Gaussian setting reference to obtain the second Gaussian joint adjustment parameter.

The thermodynamic characteristic detection network is constructed, the thermodynamic characteristic detection network consists of M thermodynamic characteristic identification channels which are specially used for analyzing and processing characteristics in the thermodynamic diagrams, the M thermodynamic characteristic identification channels are a plurality of channels for processing the thermodynamic diagrams in parallel in the network, each channel is responsible for extracting a certain type of characteristics in the thermodynamic diagrams, such as a concentration change trend, impurity distribution of a hot spot area and the like, the thermodynamic characteristic identification channels process the input thermodynamic diagrams in different modes to identify different characteristics, and the network can extract information in the thermodynamic diagrams more comprehensively and accurately through parallel processing of the channels.

Inputting a first impurity distribution thermodynamic diagram into a pre-constructed thermodynamic characteristic detection network, identifying different characteristics in parallel through M thermodynamic diagram characteristic identification channels, for example, identifying concentration hot spots, identifying areas with higher impurity concentration, helping to judge which areas cannot effectively remove impurities, analyzing impurity removal trend of different areas in the magnetic separation process, helping to judge which impurities are removed and which remain, analyzing removal efficiency, and helping to judge whether the magnetic separation operation needs further optimization or not. Parallel recognition means that these recognition tasks are performed simultaneously, rather than sequentially, by which various features in the thermodynamic diagram can be extracted in a shorter time.

And quantifying the result of each channel identification into a characteristic value to form M real-time thermodynamic diagram quantification characteristics, wherein the characteristics comprise impurity concentration, removal efficiency, the size of a hot spot area and the like, and judging the effect of the magnetic separation process according to the characteristics and determining whether the magnetic separation parameters need to be adjusted or further optimized.

The pre-correction action is to primarily adjust current magnetic separation parameters according to characteristic data analyzed in real time in the magnetic separation process, and can judge which magnetic separation parameters need to be adjusted in advance to optimize the effect of a subsequent magnetic separation stage by analyzing M thermodynamic diagram quantification characteristics, and the pre-correction action matching is to search in a preset correction action library according to the M thermodynamic diagram quantification characteristics, so as to select the correction action most suitable for the current magnetic separation stage.

The cross-stage pre-correction refers to adjusting the control parameters of the next magnetic separation level (namely, second-stage magnetic separation), while the adjustment of the current stage is based on the data of the current stage, the cross-stage correction influences the subsequent magnetic separation level, ensures the mutual coordination of control strategies among different stages, carries out cross-stage pre-correction on the second Gaussian setting reference according to M real-time thermodynamic diagram quantification characteristics and matched pre-correction actions, and ensures that the second-stage magnetic separation can fully utilize the effect of the first-stage magnetic separation and further optimizes on the basis, and the second Gaussian joint adjustment parameters are adjusted parameters obtained based on the cross-stage pre-correction and serve as the control reference of the second-stage magnetic separation process.

Further, after performing pre-correction action matching according to the M real-time thermodynamic diagram quantization features, performing cross-stage pre-correction on the second gaussian set reference to obtain the second gaussian joint modulation parameter, where the method includes:

The method comprises the steps of setting M groups of standard pre-correction actions of M groups of thermodynamic diagram quantification characteristic thresholds locally, extracting M standard pre-correction actions from the M groups of standard pre-correction actions by adopting the intersection relation of the M real-time thermodynamic diagram quantification characteristics on the M groups of thermodynamic diagram quantification characteristic thresholds, performing conflict compensation on the M standard pre-correction actions to obtain a first pre-correction action, and performing cross-stage pre-correction on the second Gaussian setting standard by adopting the first pre-correction action to obtain the second Gaussian joint debugging parameter.

The M sets of thermodynamic diagram quantitative feature thresholds refer to specific thresholds set by the system for classifying and determining impurity distributions in the thermodynamic diagram, which determine which regions or features need to be adjusted or optimized, which are typically set based on empirical data, experimental results, or optimization goals, e.g., a particular impurity concentration value may be considered an indication of insufficient removal, or a region is determined to need further optimization when the impurity concentration is above a set threshold. The M sets of standard pre-correction actions are quantified characteristic thresholds according to the set M sets of thermodynamic diagrams, and a series of correction actions are preset, the correction actions are classified based on different impurity concentrations and thermodynamic diagram characteristics, and corresponding magnetic separation adjustment strategies are provided, for example, if the impurity concentration of a certain area exceeds a set threshold, the standard pre-correction actions comprise increasing the magnetic field intensity, prolonging the magnetic separation time or adjusting other control parameters.

An intersection relationship refers to the overlapping portion of different real-time thermodynamic quantification features below the respective thermodynamic quantification feature thresholds, e.g., certain thermodynamic quantification features indicate that a particular region has too high an impurity concentration, and that an intersection occurs with a concentration feature threshold, in which case the region is considered to require special treatment. The M standard pre-correction actions are correction actions selected from the preset M groups of standard pre-correction actions according to intersection relations, and the most suitable correction actions are extracted from a preset action library through intersection analysis of quantitative features of different thermodynamic diagrams, so that accurate adjustment of different impurity features is ensured.

During magnetic separation, some conflicts may occur in the M standard pre-correction actions, for example, removal of some impurities may require an increase in magnetic field strength, while other impurities may be overreacted due to an excessively strong magnetic field, resulting in a decrease in removal efficiency, in which case there is a conflict between the operation of increasing the magnetic field strength and the operation of decreasing the magnetic field strength. The purpose of the conflict compensation is to resolve these conflicts and to ensure that the magnetic separation process does not suffer from efficiency degradation due to inconsistencies between the different corrective actions by merging or adjusting the operating strategies.

By analyzing the characteristics and effects of M standard pre-correction actions, the conflict among correction actions is judged, for example, if one action requires magnetism rising and the other action requires magnetism falling, an optimal adjustment mode is selected according to specific factors such as impurity concentration and removal efficiency, in the process, the conflict actions are combined or adjusted, the final adjustment action is ensured to remove impurities, other processing effects are not lost, and the final generated first pre-correction action is an integrated and conflict-free optimization strategy.

The first pre-correction action is applied to carry out cross-stage pre-correction on the second Gaussian setting reference, in this way, the second-stage magnetic separation can be fully optimized on the basis of the first-stage magnetic separation, the magnetic separation treatment of each stage can be mutually matched to achieve the final optimization effect, the second Gaussian joint adjustment parameter is an adjustment parameter obtained by applying the first pre-correction action, the second Gaussian joint adjustment parameter is used as a control reference of the second-stage magnetic separation, and the magnetic separation process can be further optimized and impurity removed on the basis of the first-stage magnetic separation.

Further, a spatial mapping result of spatial coordinate mapping is input to the instantaneous impurity concentration data, and gradient coloring synthesis is performed on the spatial mapping result by inputting a predefined impurity concentration-tone scale mapping table, so that the first impurity distribution thermodynamic diagram is obtained.

The instantaneous impurity concentration data are concentration data of impurities on the surface layer of the iron powder, which are acquired in real time through the LIBS probe, reflect the impurity distribution condition of the surface of the iron powder at the current moment, and the space coordinate mapping is to map the instantaneous impurity concentration data into a space coordinate.

The impurity concentration-tone mapping table is a predefined table, and the impurity concentration is mapped to the tone (i.e., color), and different impurity concentration values are mapped to different colors in the tone, so as to more intuitively represent the distribution of impurities, for example, higher impurity concentration is mapped to red, and lower impurity concentration is mapped to green or blue. Gradient coloring synthesis refers to combining a space coordinate mapping result with an impurity concentration-tone mapping table to generate a thermodynamic diagram with gradient color, wherein the gradient color reflects the change of the impurity concentration, so that the method is convenient for quickly identifying which areas on the surface of the iron powder have higher impurity concentration and which areas have better removing effect, for example, high-concentration areas (i.e. places without removing more impurities) of the thermodynamic diagram are dark red, and low-concentration areas (i.e. places with better removing impurities) are light green or blue, and the space information of impurity distribution is intuitively presented in the gradient color mode. Through the steps, a first impurity distribution thermodynamic diagram is finally obtained, is a visual graph, shows the spatial distribution condition of the impurity concentration on the surface of the iron powder, and provides a basis for subsequent magnetic separation adjustment.

The multi-mode iron powder component characteristics comprise a particle size distribution curve, a saturation magnetization distribution, a coercivity distribution and an initial impurity mass spectrum, wherein the particle size distribution curve is a graph of particle size distribution in the iron powder and reflects the proportion of particles with different particle sizes in the iron powder, the particle size distribution is usually measured through screening or laser diffraction and the like, the particle size distribution is very important to a magnetic separation process, because particles with different sizes have different responses to a magnetic field, larger particles are easier to be magnetically separated, smaller particles require a stronger magnetic field or longer treatment time, the saturation magnetization refers to the maximum magnetization which can be achieved by the iron powder under the action of an external magnetic field, the characteristics are related to factors such as chemical components, crystal structures and the like of the iron powder, the coercivity is still kept by the magnetic materials, the coercivity distribution shows the difficulty of restoring magnetism in the iron powder during the magnetic separation process, the iron powder is difficult to be magnetically separated, and therefore, the coercivity of the iron powder has high particles which are required to be adjusted during the magnetic separation process, the coercivity is required to be removed by the magnetic separation process, and the coercivity is required to be used for judging which initial impurity concentration of all impurities (such as the initial impurity profile, the initial impurity mass spectrum) in the iron powder is required to be removed in the initial impurity mass spectrum). Through the characteristics of the components of the multi-mode iron powder, the behaviors and removal difficulties of different iron powder particles can be more effectively identified, and parameters such as magnetic field strength, execution time and the like are adjusted accordingly, so that the impurity removal efficiency and the purity of the finally produced iron powder are improved.

Further, performing multistage magnetic separation control parameter mapping according to the multi-mode iron powder component characteristics to generate N-stage reference magnetic separation control parameters, wherein the method comprises the following steps:

The method comprises the steps of analyzing a particle size distribution curve, positioning a median particle size position and a median particle size distribution width ratio, obtaining a first multi-stage initialization magnetic separation control parameter according to the median particle size position and the median particle size distribution width ratio by matching in a residence time spectrum mapping table, obtaining a second multi-stage initialization magnetic separation control parameter according to a concentrated trend value of the saturation magnetization distribution and a high value area ratio of the coercive force distribution by calculating, obtaining a third multi-stage initialization magnetic separation control parameter by matching in a field strong response spectrum mapping table, extracting an impurity concentration group corresponding to a core impurity group from an initial impurity mass spectrum, obtaining a third multi-stage initialization magnetic separation control parameter by matching in an element removal response spectrum mapping table, performing conflict parameter arbitration on the first multi-stage initialization magnetic separation control parameter, the third multi-stage initialization magnetic separation control parameter and the third multi-stage initialization magnetic separation control parameter, and outputting the N-stage basic magnetic separation control parameter.

The particle size distribution curve is a statistical representation of the particle size of the iron powder and shows the distribution of particles of different particle sizes throughout the iron powder sample, typically the particle size distribution curve will show different particle size fractions of the particles and their corresponding number or mass distribution, the particle size distribution curve is analyzed to determine the particle size distribution of the particles in the iron powder, particularly the median particle size of the particles, and the median particle size position and median particle size distribution width ratio. The median particle diameter refers to a particle diameter value at the middle after the particle size distribution is ordered according to the size, the median particle diameter distribution width refers to the width of a particle size range, namely the difference between the maximum particle diameter and the minimum particle diameter, describes the broad extent of the particle size distribution, the median particle diameter position refers to a median point in the particle size distribution, divides a particle size distribution curve into two parts, so that half of particles are smaller, the other half of particles are larger, the particle size distribution width ratio indicates the broad extent of the particle size distribution, if the ratio is large, the particle size difference is large, and if the ratio is small, the particle size is uniform.

The residence time spectrum mapping table is a predefined table for calculating the residence time of the different particle sizes in the magnetic separation process according to the particle size distribution (especially the position of the median particle size and the width ratio of the median particle size distribution), wherein the residence time refers to the residence time of the particles in the magnetic separation system, the residence time of the larger particles is shorter, and the residence time of the smaller particles is longer. And finding out matched residence time parameters in a residence time spectrum mapping table according to the position of the median particle diameter and the width ratio of the median particle diameter distribution to obtain first multistage initialization magnetic separation control parameters for the subsequent magnetic separation process so as to properly treat particles with different particle sizes.

The saturation magnetization distribution refers to the magnetization distribution of iron powder particles under the action of an external magnetic field, and the concentration trend value (such as average value, peak value, etc.) refers to the concentration degree of the magnetization in the saturation magnetization distribution, wherein a higher concentration trend value indicates that most of the particles have stronger magnetism, and a lower concentration trend value indicates that the magnetism of the particles is weaker. Coercivity profile refers to the distribution of the magnetic strength maintained by the iron powder particles after removal of the external magnetic field, the high value area ratio representing the proportion of particles in the particles having a higher coercivity, which are generally more difficult to remove by magnetic separation, requiring a stronger magnetic field or longer processing time.

The field intensity response spectrum mapping table is a predefined table, and is used for adjusting the magnetic field intensity in the magnetic separation process according to the magnetic characteristics (such as saturation magnetization intensity and coercivity distribution) of the particles, the magnetic separation efficiency is directly affected by the selection of the magnetic field intensity, the most suitable magnetic field intensity control parameter is found in the field intensity response spectrum mapping table by analyzing the concentration trend value of the saturation magnetization intensity distribution and the high-value area duty ratio of the coercivity distribution, and the second multistage initialization magnetic separation control parameter is obtained and is used for optimizing the magnetic separation process to ensure that the magnetic field intensity is matched with the magnetic characteristics of the iron powder particles.

The initial impurity mass spectrum refers to concentration distribution conditions of various impurity elements in the iron powder before magnetic separation treatment, and impurity elements which are most challenging to the magnetic separation process, namely core impurity groups, are extracted from the initial impurity mass spectrum, wherein the impurity elements are components which need to be removed in a key way in the magnetic separation process, and the impurity concentration groups refer to concentration information of the core impurities and reflect the distribution conditions and concentration levels of the impurities in the iron powder.

The element removal response spectrum map is a predefined table that correlates impurity concentrations with magnetic separation control parameters (e.g., magnetic field strength, processing time, etc.), which helps the system calculate the required magnetic separation parameters from the concentration profile of different impurities to effectively remove a particular impurity. And according to the impurity concentration group extracted from the core impurity group, finding out matched magnetic separation parameters in the element removal response spectrum mapping table to obtain third multistage initialization magnetic separation control parameters, wherein the process provides targeted control parameters for the subsequent magnetic separation steps so as to optimally remove the core impurities.

In the magnetic separation process, different initialized magnetic separation control parameters may have mutual conflict, for example, some parameters suggest increasing magnetic field intensity, others suggest decreasing magnetic field intensity, conflict parameter arbitration is to find an optimal adjustment strategy by solving the conflicts, an arbitration method comprises selecting optimal parameters, compromising processing or adjusting parameters according to actual conditions, generally, the conflicts are solved by weighted average, priority ordering or other strategies, and after the conflicts are solved, N-level reference magnetic separation control parameters are generated according to arbitration results and are used as control references of the whole magnetic separation process.

In summary, the multistage magnetic separation method for high-purity iron powder provided by the embodiment of the application has the following technical effects:

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-stage magnetic separation device for high-purity iron powder, characterized in that the device comprises:

Component feature calling module, used to call multi-modal iron powder component features across devices;

a control parameter mapping module for performing multi-stage magnetic separation control parameter mapping based on the multi-modal iron powder component characteristics to generate N-stage reference magnetic separation control parameters, wherein each stage reference magnetic separation control parameter is composed of a Gaussian setting reference, a Gaussian adjustable interval, and an execution time reference;

The magnetic separation processing module is used for the magnetic separation hardware system to perform N-level magnetic separation processing of the iron powder to be purified based on N execution time bases as the magnetic separation time limit and N Gauss setting bases. The magnetic separation processing module includes:

A closed-loop control unit is used to perform dynamic closed-loop control of single-layer magnetic separation parameters within N Gaussian adjustable intervals based on the results of the synchronized laser-induced breakdown spectroscopy analysis of the LIBS probe;

The joint debugging optimization unit is used to perform cross-level Gaussian benchmark joint debugging optimization based on the impurity distribution heat map of N execution time ends;

The iterative execution unit is used for iterative execution until N-level iron powder magnetic separation is completed to produce iron powder with target purity.

2. The multi-stage magnetic separation device for high-purity iron powder according to claim 1, wherein the joint debugging and optimization unit further comprises:

a pre-selection magnetic separation processing channel for operating the magnetic separation hardware system using a first Gaussian setting reference of the first-level reference magnetic separation control parameter, and then starting a feeder to convey the iron powder to be purified into the magnetic separation hardware system for pre-selection magnetic separation processing;

The spectral analysis channel is used to synchronously run the LIBS probe to perform laser-induced breakdown spectroscopy analysis on the conveyed iron powder during the pre-selection magnetic separation process, and output a real-time surface impurity concentration sequence;

A dynamic parameter update channel is used to perform dynamic parameter update of the first Gaussian setting benchmark based on the multivariate impurity fluctuation characteristics of the real-time surface impurity concentration sequence, with the first Gaussian adjustable interval as a constraint, until the first execution time benchmark is reached, and generate a first impurity distribution heat map.

3. The multi-stage magnetic separation device for high-purity iron powder according to claim 2, wherein the iterative execution unit further comprises:

a cross-level pre-correction channel, configured to perform cross-level pre-correction on a second Gaussian setting reference according to the first impurity distribution thermodynamic map to obtain a second Gaussian joint tuning parameter;

a parameter update channel for executing parameter update of the second Gaussian joint tuning parameters according to surface impurity concentration data synchronously detected by the LIBS probe during the secondary magnetic separation process of the magnetic separation hardware system using the second Gaussian joint tuning parameters, until the magnetic separation duration reaches a second execution time benchmark, and outputting a second impurity distribution heat map;

The Gaussian benchmark pre-tuning channel is used to iteratively perform dynamic adjustment of magnetic separation parameters in a single-layer magnetic separation process based on the surface impurity concentration, and iteratively perform cross-layer Gaussian benchmark pre-tuning based on the layer impurity thermal distribution until the N-level benchmark magnetic separation control parameters are executed and the target purity iron powder is produced.

4. The multi-stage magnetic separation device for high-purity iron powder according to claim 2, wherein the dynamic parameter adjustment update channel comprises:

The Gaussian adjustment action library construction node is used to interactively obtain multiple sets of Gaussian adjustment actions for various iron powder impurities under multiple sets of impurity fluctuation scenarios to build a Gaussian adjustment action library;

A parallel matching node, configured to input the multivariate impurity fluctuation characteristics as multivariate search conditions into the Gaussian adjustment action library to parallel match multivariate Gaussian adjustment actions for multivariate impurity fluctuation scenarios;

a union solving node, configured to perform a union solving on the multivariate Gaussian adjustment actions to locate a first real-time adjustment action;

a parameter update node, configured to perform parameter update of the first Gaussian setting benchmark using the first real-time adjustment action;

The data acquisition node is used to drive the LIBS probe to collect instantaneous impurity concentration data and synthesize the first impurity distribution thermodynamic map when the first Gaussian setting benchmark is dynamically adjusted and updated and the first execution time benchmark is reached.

5. The multi-stage magnetic separation device for high-purity iron powder according to claim 3, wherein the cross-stage pre-correction channel comprises:

A thermal feature detection network construction node, used to pre-construct a thermal feature detection network, wherein the thermal feature detection network includes M thermal map feature recognition channels;

a feature parallel recognition node, configured to load the first impurity distribution thermodynamic map into the thermodynamic feature detection network, perform feature parallel recognition via the M thermodynamic map feature recognition channels, and output M real-time thermodynamic map quantitative features;

The cross-level pre-correction node is used to perform cross-level pre-correction on the second Gaussian setting benchmark after pre-correction action matching according to the M real-time heat map quantitative features to obtain the second Gaussian joint adjustment parameters.

6. The multi-stage magnetic separation device for high-purity iron powder according to claim 5, wherein the cross-stage pre-correction node comprises:

The standard pre-correction action setting sub-node is used to locally set M groups of standard pre-correction actions for M groups of heat map quantitative feature thresholds;

an action extraction subnode, configured to extract M standard pre-correction actions from the M groups of standard pre-correction actions by using the intersection relationship between the M real-time heat map quantitative features and the M groups of heat map quantitative feature thresholds;

a conflict compensation subnode, configured to perform conflict compensation on the M standard pre-correction actions to obtain a first pre-correction action;

The cross-level pre-correction sub-node is used to perform cross-level pre-correction on the second Gaussian setting benchmark by using the first pre-correction action to obtain the second Gaussian joint tuning parameter.

7. A multi-stage magnetic separation device for high-purity iron powder as described in claim 4, characterized in that the dynamic parameter update channel is used to: input the spatial mapping result of spatial coordinate mapping of the instantaneous impurity concentration data into a predefined impurity concentration-color level mapping table for gradient coloring synthesis to obtain the first impurity distribution heat map.

8. The multi-stage magnetic separation device for high-purity iron powder according to claim 1, wherein the multimodal iron powder component characteristics include a particle size distribution curve, a saturation magnetization intensity distribution, a coercive force distribution, and an initial impurity spectrum.

9. The multi-stage magnetic separation device for high-purity iron powder according to claim 8, wherein the control parameter mapping module comprises:

a first matching unit for, after analyzing the particle size distribution curve and locating the median particle size position and the median particle size distribution width ratio, matching the residence time spectrum mapping table to obtain first multi-stage initialization magnetic separation control parameters according to the median particle size position and the median particle size distribution width ratio;

a second matching unit, configured to obtain a second multi-level initialization magnetic separation control parameter by matching the field intensity response spectrum mapping table according to the calculated central tendency value of the saturation magnetization distribution and the proportion of the high value region of the coercive force distribution;

a third matching unit, configured to extract an impurity concentration group corresponding to a core impurity group from the initial impurity spectrum, and then obtain a third multi-stage initialization magnetic separation control parameter by matching the impurity concentration group in an element removal response spectrum mapping table;

The conflict parameter arbitration unit is used to perform conflict parameter arbitration on the first multi-level initialization magnetic separation control parameter, the third multi-level initialization magnetic separation control parameter and the third multi-level initialization magnetic separation control parameter, and output the N-level reference magnetic separation control parameter.

10. A multi-stage magnetic separation method for high-purity iron powder, characterized in that it is implemented based on the multi-stage magnetic separation equipment for high-purity iron powder according to any one of claims 1 to 9, and the method comprises:

Call multimodal iron powder component characteristics across devices;

Performing multi-stage magnetic separation control parameter mapping according to the multi-modal iron powder component characteristics to generate N-stage reference magnetic separation control parameters, wherein each stage reference magnetic separation control parameter consists of a Gaussian setting reference, a Gaussian adjustable interval, and an execution time reference;

The magnetic separation hardware system uses N execution time benchmarks as the magnetic separation time limit. When executing N-level magnetic separation processes of the iron powder to be purified according to N Gauss setting benchmarks:

Step a: Based on the results of the synchronous laser-induced breakdown spectroscopy analysis of the LIBS probe, dynamic closed-loop control of the single-layer magnetic separation parameters is performed within N Gaussian adjustable intervals;

Step b: Based on the impurity distribution heat map at the end of N execution times, perform cross-level Gaussian benchmark joint optimization;

The process is iterated until N levels of iron powder magnetic separation are completed, producing iron powder of the target purity.