Ore separation control method and system combining magnetic separation and photoelectric separation

Abstract

The invention relates to the technical field of ore separation, in particular to a magnetic separation and photoelectric separation combined ore separation control method and system.The magnetic separation and photoelectric separation combined ore separation control method comprises the steps that according to the magnetic field induction characteristic of ore, strong magnetic ore materials in a first material buffer area are dynamically partitioned, and separation intervals in a specified magnetic field intensity interval are obtained; the method comprises the following steps: gathering ferromagnetic ore materials in a separation interval in a specified magnetic field intensity interval in an initial preset time period, and sending the gathered ferromagnetic ore materials into a pre-established and activated first magnetic field separation control process to carry out separation treatment on a ferromagnetic ore magnetic field to obtain a first separation result; and the weakly magnetic ore materials in the second material buffer area are gathered in the subsequent preset time period. According to the method, the strong magnetic ore can be treated more efficiently in the magnetic separation stage through dynamic partition and precise separation of the strong magnetic ore material, meanwhile, the weak magnetic ore is screened through the precise element concentration value in the spectral analysis stage, and the ore separation precision is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ore sorting, in particular to a method and system for ore sorting by combining magnetic separation and photoelectric separation. BACKGROUND

[0002] With the increase of global population and the acceleration of industrialization process, the demand for mineral resources is rising, especially the demand for high-grade ore has increased significantly. However, with the gradual depletion of mineral resources and the decrease of ore grade, the traditional single magnetic separation method cannot meet the requirements of efficient utilization of mineral resources. In this context, improving the precision and efficiency of ore sorting has become the key to solving the problem of resource shortage.

[0003] Currently, the traditional magnetic separation method usually relies only on the magnetic difference of ore for sorting, which is difficult to accurately distinguish between strong magnetic ore and weak magnetic ore. This leads to the inability to effectively extract valuable minerals from weak magnetic ore when processing weak magnetic ore, thereby affecting the recovery rate of ore. Moreover, due to the lack of precise spectral analysis in traditional methods, valuable minerals in weak magnetic ore cannot be fully recovered, resulting in a lot of waste. This not only wastes valuable mineral resources, but also increases the environmental burden.

[0004] In addition, the traditional magnetic separation method is low in efficiency when processing weak magnetic ore and needs to be processed multiple times, increasing production time and cost. Moreover, the traditional method often cannot adjust the sorting conditions in real time, leading to the inability to adapt to different types of ore, thereby reducing the efficiency of the sorting process. Furthermore, it usually relies on simple physical properties such as the magnetic strength and density of the ore, lacking high-precision technologies such as spectral analysis, resulting in large analysis errors. Especially when processing complex minerals, the measurement error of element concentration is large, affecting the final sorting effect of the ore. SUMMARY

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: a method for ore sorting by combining magnetic separation and photoelectric separation, comprising:

[0006] dynamically partitioning the strong magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore to obtain a sorting interval within a specified magnetic field strength interval;

[0007] aggregating the strong magnetic ore material in the sorting interval within the specified magnetic field strength interval within an initial preset period, and feeding the aggregated strong magnetic ore material into a pre-established and activated first magnetic field sorting control process to sort and process the strong magnetic ore magnetic field, obtaining a first sorting result;

[0008] aggregating the weak magnetic ore material in the second material buffer zone within a subsequent preset period;

[0009] When the weight of the gathered weakly magnetic ore material exceeds the specified weight threshold, the gathered weakly magnetic ore material is subjected to elemental spectrum analysis in a pre-established and activated second spectrum sorting control process, to obtain an elemental concentration value;

[0010] The weakly magnetic ore material is subjected to sorting processing according to the elemental concentration value, to obtain a second sorting result.

[0011] Preferably, the strong magnetic ore material in the first material buffer zone is dynamically partitioned according to the magnetic field induction characteristics of the ore, to obtain a sorting interval within a specified magnetic field strength interval, further comprising:

[0012] The complete ore material stream delivered is sequentially introduced into the material distribution sequence, and during the process of sequentially introducing the complete ore material stream into the material distribution sequence, the material locking interception function is used to lock the material taking operation of the material distribution sequence, wherein the complete ore material stream includes strong magnetic ore material and weak magnetic ore material;

[0013] After all the complete ore material is introduced into the material distribution sequence, the material locking is released to release the material taking operation of the material distribution sequence;

[0014] Based on the material taking operation, the complete ore material in the material distribution sequence is distributed into the first material buffer zone and the second material buffer zone, so that the strong magnetic ore magnetic field sorting processing is performed in the first material buffer zone, and the weak magnetic ore spectrum sorting processing is performed in the second material buffer zone.

[0015] Preferably, the strong magnetic ore material in the first material buffer zone is dynamically partitioned according to the magnetic field induction characteristics of the ore, to obtain a sorting interval within a specified magnetic field strength interval, comprising:

[0016] The strong magnetic ore material stored in the first material buffer zone is detected to obtain the magnetic field induction strength of the strong magnetic ore;

[0017] The ore material in the magnetic field induction strength interval is divided into a predetermined number of sorting intervals of specified magnetic field strength intervals, wherein the sorting interval of the specified magnetic field strength interval covers the magnetic field induction strength in the local interval, and the sorting interval of the specified magnetic field strength interval does not exist in the interval of the magnetic field induction strength. Strength interval.

[0018] Preferably, the strong magnetic ore material in the sorting interval within the specified magnetic field strength interval is gathered within an initial preset period, and the gathered strong magnetic ore material is sent to a pre-established and activated first magnetic field sorting control process for sorting processing of the strong magnetic ore magnetic field, to obtain a first sorting result, comprising:

[0019] in the sorting interval within the specified magnetic field intensity interval, the strong magnetic ore material is aggregated according to an initial preset time interval;

[0020] when the strong magnetic ore material aggregated in the sorting interval within the specified magnetic field intensity interval exceeds a first weight threshold, the strong magnetic ore material aggregated in the sorting interval within the specified magnetic field intensity interval is transported into a first magnetic field sorting control process established in advance, wherein the first magnetic field sorting control process comprises a plurality of magnetic field sorting control processes;

[0021] in the first magnetic field sorting control process, three-dimensional material grouping is performed according to the magnetic field induction intensity, particle size and mass distribution of the strong magnetic ore material respectively, to obtain a grouping category;

[0022] the grouping category is subjected to statistical processing of magnetic field adsorption efficiency to obtain an adsorption efficiency value;

[0023] the magnetic field sorting intensity is adjusted according to the adsorption efficiency value;

[0024] precise magnetic field separation is performed according to the adjusted magnetic field sorting intensity to obtain a first sorting result.

[0025] Preferably, when the weight of the weak magnetic ore material aggregated exceeds a specified weight threshold, element spectrum analysis is performed on the weak magnetic ore material aggregated in a second spectrum sorting control process established and activated in advance to obtain an element concentration value, and before this, the process further comprises: accumulating the weak magnetic ore material in a subsequent preset time interval, wherein the subsequent preset time interval is longer than the initial preset time interval.

[0026] when the weight of the weak magnetic ore material aggregated in the subsequent preset time interval exceeds a second weight threshold, the weak magnetic ore material is transported into the second spectrum sorting control process established in advance, and the second spectrum sorting control process is started to perform spectrum sorting processing on the weak magnetic ore material in the second material buffer area in the second spectrum sorting control process, wherein the second weight threshold is less than the first weight threshold.

[0027] Preferably, when the weight of the weak magnetic ore material aggregated exceeds a specified weight threshold, element spectrum analysis is performed on the weak magnetic ore material aggregated in a second spectrum sorting control process established and activated in advance to obtain an element concentration value, and before this, the process further comprises:

[0028] in the second spectrum sorting control process, the weak magnetic ore material aggregated is analyzed to obtain an element concentration value.

[0029] Preferably, the weak magnetic ore material aggregated is analyzed to obtain an element concentration value, and before this, the process further comprises:

[0030] acquire a mineral spectrum distribution diagram of the weak magnetic ore material;

[0031] preprocess the mineral spectrum distribution diagram to obtain a target spectrum distribution diagram;

[0032] According to the target spectrum distribution diagram, based on the weak magnetic ore element spectrum line standard library, the spectrum line of the target analysis element and the ore matrix element is calibrated to obtain the calibrated target analysis element characteristic spectrum line and ore matrix element characteristic spectrum line;

[0033] Select two different excitation state spectrum lines in the target analysis element characteristic spectrum line, and obtain the spectral intensity ratio of the two different excitation state spectrum lines;

[0034] Compare the weak magnetic ore element spectrum line standard library to obtain the energy level parameters corresponding to the two spectrum lines;

[0035] Determine the mineral phase temperature corresponding to the target analysis element based on the spectral intensity ratio and the energy level parameter;

[0036] According to the target analysis element characteristic spectrum line, the key characteristic wavelength of the target analysis element is extracted;

[0037] According to the key characteristic wavelength, the core characteristic spectrum line corresponding to the target analysis element is determined;

[0038] Match the core characteristic spectrum line with the mineral phase temperature corresponding to the target analysis element to obtain the target analysis characteristic; input the target analysis characteristic into the concentration analysis model to obtain the concentration value of the target analysis element.

[0039] Preferably, according to the target spectrum distribution diagram, based on the weak magnetic ore element spectrum line standard library, the spectrum line of the target analysis element and the ore matrix element is calibrated to obtain the calibrated target analysis element characteristic spectrum line and ore matrix element characteristic spectrum line, including:

[0040] Obtain the spectral data of the weak magnetic ore sample corresponding to the target spectrum distribution diagram, wherein the spectral data includes the spectral intensity and wavelength coordinate of each wavelength point in the spectral distribution diagram;

[0041] Determine a plurality of energy points according to the spectral data;

[0042] According to the spectral data of each energy point and the spectral data of the wavelength origin of the spectrum distribution diagram, the slope of the straight line composed of the energy point and the wavelength origin of the spectrum distribution diagram is calculated;

[0043] Sort each slope in ascending order, and determine the energy point corresponding to the slope of the preset proportion after sorting as the energy point not meeting the ore change trend;

[0044] Remove the energy points that do not conform to the ore change trend in the plurality of energy points to obtain each energy point conforming to the ore change trend;

[0045] Determine the ore spectrum in the target spectral distribution map according to the spectral data of each energy point;

[0046] Remove the ore spectrum in the target spectral distribution map to obtain the element characteristic peak spectrum of the weakly magnetic ore sample;

[0047] Based on the weakly magnetic ore element spectral line standard library, the spectral line of the target analysis element characteristic peak and the ore matrix element characteristic peak in the element characteristic peak spectrum is calibrated to obtain the calibrated target analysis element characteristic spectral line and the ore matrix element characteristic spectral line.

[0048] Preferably, the training method of the concentration analysis model comprises:

[0049] Obtain the sample spectral distribution map, sample mineral phase temperature and corresponding sample element concentration label of the weakly magnetic ore sample;

[0050] The sample target spectrum is obtained after the sample spectral distribution map is preprocessed, and the sample target analysis element characteristic spectral line is calibrated;

[0051] The sample target analysis element characteristic spectral line and the sample mineral phase temperature are used as input, and the sample element concentration label is used as output, and the initial analysis model is trained;

[0052] The parameters of the initial analysis model are adjusted by the gradient descent algorithm until the model prediction error is less than the preset error threshold, and the trained concentration analysis model is obtained.

[0053] A magnetic separation and photoelectric separation combined ore sorting control system, which is suitable for the above-mentioned magnetic separation and photoelectric separation combined ore sorting control method, comprising:

[0054] The material partition unit is used for dynamically partitioning the strong magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore to obtain a sorting interval in a specified magnetic field strength interval;

[0055] The first sorting unit is used for aggregating the strong magnetic ore material in the sorting interval in the specified magnetic field strength interval within an initial preset period of time, and sending the aggregated strong magnetic ore material to a pre-established and activated first magnetic field sorting control process for sorting processing of the strong magnetic ore magnetic field to obtain a first sorting result;

[0056] The material aggregation unit is used for aggregating the weak magnetic ore material in the second material buffer zone within a subsequent preset period of time;

[0057] a spectrum analysis unit, configured to perform element spectrum analysis on the weakly magnetic ore material collected under a pre-established and activated second spectrum separation control process when the weight of the collected weakly magnetic ore material exceeds a specified weight threshold, to obtain element concentration values;

[0058] a second separation unit, configured to perform separation processing on the weakly magnetic ore material according to the element concentration values, to obtain a second separation result.

[0059] Compared with the prior art, the present application has the following advantages:

[0060] (1) The present application can more efficiently process strongly magnetic ore in the magnetic separation stage through dynamic partitioning and accurate separation of strongly magnetic ore material, and can screen weakly magnetic ore through accurate element concentration values in the spectrum analysis stage, thereby improving the accuracy and efficiency of ore separation, and using different separation technologies for strongly magnetic ore and weakly magnetic ore, using a magnetic separation method to process strongly magnetic ore, and using spectrum analysis to analyze elements of weakly magnetic ore. This separation method can optimize resource utilization and improve the adaptability and effectiveness of ore separation according to the magnetic properties and spectral properties of the ore;

[0061] (2) The present application can more effectively identify and extract weakly magnetic ore containing valuable minerals through accurate spectrum analysis technology, thereby improving resource recovery rate and reducing waste generation. In the spectrum analysis process, spectral line calibration and energy level parameter matching can be used to reduce analysis errors and improve the measurement accuracy of element concentration of weakly magnetic ore, thereby enhancing the stability and reliability of the spectrum separation process. BRIEF DESCRIPTION OF DRAWINGS

[0062] Figure 1 is a step flow diagram of the overall method in an embodiment of the present application;

[0063] Figure 2 is a system architecture diagram of the overall system in an embodiment of the present application.

[0064] In the figure: 1, material partitioning unit; 2, first separation unit; 3, material collecting unit; 4, spectrum analysis unit; 5, second separation unit. DETAILED DESCRIPTION

[0065] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0066] Embodiment one, please refer toFigure 1 The application provides a technical solution: a mineral separation control method combining magnetic separation and photoelectric separation, comprising:

[0067] S1, dynamically partitioning the strong magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore to obtain a separation interval in a specified magnetic field strength interval;

[0068] S2, gathering the strong magnetic ore material in the separation interval in the specified magnetic field strength interval within an initial preset period, and feeding the gathered strong magnetic ore material into a pre-established and activated first magnetic field separation control process to perform separation processing on the strong magnetic ore magnetic field, to obtain a first separation result;

[0069] S3, gathering the weak magnetic ore material in the second material buffer zone within a subsequent preset period;

[0070] S4, when the weight of the gathered weak magnetic ore material exceeds a specified weight threshold, performing element spectrum analysis on the gathered weak magnetic ore material in a pre-established and activated second spectrum separation control process to obtain an element concentration value;

[0071] S5, performing separation processing on the weak magnetic ore material according to the element concentration value to obtain a second separation result.

[0072] It should be noted that the magnetic field induction characteristics of the ore are usually related to its mineral composition; the strengths of the magnetism of different minerals are different, and by setting a magnetic field induction device in the first material buffer zone, the magnetic ore material can be dynamically partitioned according to its magnetic strength; for example: assuming that there are iron ore and quartz ore in a mineral, the iron ore is strong magnetic ore, and the quartz ore is non-magnetic ore; by adjusting the strength of the magnetic field, the iron ore and the quartz ore can be separated; for example, in a 300-gauss interval, mainly iron ore, this part of the mineral is allocated to the separation interval of strong magnetic minerals;

[0073] Within the initial preset period, the strong magnetic ore material in the specified magnetic field strength interval is gathered, and magnetic separation processing is performed through the pre-set first magnetic field separation control process; the magnetic separation attracts or repels magnetic substances through the action of the magnetic field, and by controlling the separation process, the strong magnetic ore is further extracted from the mixed minerals; this step is dynamically adjusted according to the magnetic field strength and the characteristics of the ore; for example: assuming that the 300-gauss interval is determined to be the main iron ore area in the S1 step; next, by controlling the magnetic field, the iron ore in the 300-gauss interval is gathered together and fed into a magnetic separator for separation processing; the magnetic separator separates the strong magnetic ore from other impurity ores according to the characteristics of the strong magnetic ore;

[0074] In a subsequent preset period, the weakly magnetic ore material in the second material buffer zone is aggregated; the weakly magnetic ore (such as some nickel-containing ore) exhibits low magnetism in the magnetic field and is difficult to separate directly by magnetic separation; therefore, these ores need to be aggregated separately for subsequent processing by other methods; for example, after the first material buffer zone has processed the strongly magnetic ore, there may be some weakly magnetic ore (such as nickel ore) in the second material buffer zone, which cannot be separated by magnetic separation; therefore, these weakly magnetic ores need to be aggregated in a specific area to prepare for subsequent separation steps;

[0075] When the weight of the aggregated weakly magnetic ore material exceeds a specified threshold, a second spectral separation control process is activated to perform elemental spectral analysis on the ore; spectral analysis identifies the elemental composition of the ore by exciting the ore sample and analyzing its reflected or emitted spectrum; this process can accurately determine the elemental concentration in the ore, which can be used for separation; for example, after the nickel ore in the second material buffer zone is aggregated, laser-induced spectroscopy (LIBS) or X-ray fluorescence (XRF) technology is used to perform spectral analysis on these ores; the analysis result may show that the nickel concentration in these ores is 12%; based on this result, the system will decide whether to continue to the next separation step;

[0076] Based on the obtained elemental concentration value, the weakly magnetic ore material is separated and processed to obtain a second separation result; after elemental spectral analysis, the concentration value of each element in the ore can help determine the grade of the ore (such as nickel content, copper content, etc.); then, based on these data, a specific separation strategy can be designed, such as further extracting ore containing high concentrations of valuable metals, or discarding low-grade ore; for example, suppose after spectral analysis, it is found that the nickel content in the aggregated ore is higher than the specified grade threshold (such as 12%), the system will separate this part of the ore and send it to the next step of refining or further processing; if the nickel content is low, it may be discarded as waste.

[0077] In an optional embodiment, before the first material buffer zone of the strongly magnetic ore material is dynamically partitioned according to the magnetic field induction characteristics of the ore, the following steps are further included:

[0078] The complete ore material stream delivered is sequentially introduced into the material distribution sequence, and during the process of sequentially introducing the complete ore material stream delivered into the material distribution sequence, the material locking interception function is used to lock the material taking operation of the material distribution sequence, wherein the complete ore material stream includes strongly magnetic ore material and weakly magnetic ore material;

[0079] After all the complete ore material is introduced into the material distribution sequence, the material locking is released to release the material taking operation of the material distribution sequence;

[0080] Based on the material taking operation, the complete ore material in the material distribution sequence is distributed into the first material buffer zone and the second material buffer zone, so as to perform the strong magnetic ore magnetic field separation treatment in the first material buffer zone and the weak magnetic ore spectrum separation treatment in the second material buffer zone.

[0081] It should be noted that the complete ore material stream conveyed is introduced into the material distribution sequence in sequence, ensuring that the ore enters the distribution system in sequence, avoiding confusion; the key of this step is the management of the material stream; the complete ore material stream includes two different mineral types, strong magnetic ore and weak magnetic ore; when introducing the material distribution sequence, a certain mechanism is used to ensure that the material enters the system in the predetermined sequence, so that the subsequent distribution operation can be correctly performed; example: assuming that the ore is mined from the mine and sent to the distribution system on the conveyor belt; the ore may be mixed during the conveying process, containing both iron ore (strong magnetic ore) and quartz ore (weak magnetic ore); through the distribution system, the ore is introduced into the distribution sequence in sequence, preparing to enter the subsequent magnetic separation or spectrum analysis;

[0082] When the ore is introduced into the material distribution sequence, the material locking interception function is used to temporarily lock the material taking operation of the material distribution sequence, avoiding the distribution operation before all the ore is completely input; the locking mechanism is to ensure the sequence and integrity of the material distribution, avoiding the uncertainty of the distribution operation in the middle; by locking the material taking operation, the system ensures that all the material is introduced before starting the formal distribution of the ore; this control method can prevent part of the ore from being distributed in advance, ensuring the accuracy of the processing flow; example: assuming that when the ore enters the material distribution system from the conveyor belt, the material distribution sequence starts in the "locked" state; in this way, even if different types of ore (such as iron ore and quartz ore) are conveyed to the distribution system, they will not be processed immediately until all the ore enters the distribution sequence and the locking is released;

[0083] When all the ore material is introduced into the material distribution sequence in sequence, the material locking operation is released, allowing the system to start distributing the ore; the locking operation is a temporary protective measure to ensure the integrity of the material sequence; after all the ore material enters the distribution sequence, the system will automatically release the lock to start the distribution operation; example: assuming that all the ore (including iron ore and quartz ore) has entered the material distribution sequence in sequence; at this moment, the system releases the lock, allowing the ore to be distributed to the first material buffer zone (processing strong magnetic ore) and the second material buffer zone (processing weak magnetic ore) according to its properties;

[0084] Once the material lock is released, the system will distribute the ore to the appropriate buffer area according to the nature of the ore (for example, by material inductive characteristics to identify ferromagnetic and weak magnetic ore); ferromagnetic ore will enter the first material buffer area for magnetic field sorting processing, and weak magnetic ore will enter the second material buffer area for spectral analysis and sorting; example: assuming that the ore has passed through the system's locking and distribution operations, iron ore (ferromagnetic ore) is sent to the first material buffer area for magnetic separation processing, and quartz ore (weak magnetic ore) is sent to the second material buffer area for elemental spectral analysis; after these processes, the system can obtain the respective sorting results, and the ferromagnetic ore is further processed for extraction, while the weak magnetic ore is used for other processing processes.

[0085] In an optional embodiment, the ferromagnetic ore material in the first material buffer area is dynamically partitioned according to the magnetic field inductive characteristics of the ore, to obtain a sorting interval within a specified magnetic field strength interval, including:

[0086] Detecting the ferromagnetic ore material stored in the first material buffer area to obtain the magnetic field inductive strength of the ferromagnetic ore;

[0087] Dividing the ore material within the magnetic field inductive strength interval into a predetermined number of specified magnetic field strength interval sorting intervals, wherein the specified magnetic field strength interval sorting interval covers the magnetic field inductive strength within the local interval, and the specified magnetic field strength interval sorting interval does not exist within the interval of the magnetic field inductive strength.

[0088] It should be noted that the magnetic field inductive strength of the ferromagnetic ore stored in the first material buffer area is measured in order to classify the ore according to different inductive strengths; each ore will have different magnetic field inductive strengths according to its composition and characteristics (such as iron ore composition); through sensors or other devices, the magnetic field inductive strength of each ore is detected in real time to obtain the "magnetic field inductive data" of the ore; example: assuming that the first material buffer area stores a batch of iron ore, and the magnetic field inductive strength measuring device can detect the magnetic field inductive strength of each ore; for example, the magnetic inductive strength of one ore is 1000 Gauss (Gauss), and the magnetic inductive strength of another ore is 1500 Gauss; this data will be used for subsequent ore partitioning;

[0089] According to the measured magnetic field induction intensity of the ore, the ore is divided into different intervals for subsequent magnetic separation processing; this process requires setting multiple magnetic field strength intervals according to different ranges of magnetic field induction intensity, and classifying the ore according to these intervals; in strong magnetic ore, the magnetic field induction intensity of different ores is different, so multiple specified strength intervals need to be divided according to these differences, and the ore in each interval will be processed accordingly; there should be no overlap between these magnetic field strength intervals to ensure that each piece of ore can be accurately allocated to an interval; example: assuming that the magnetic field induction intensity of strong magnetic ore ranges from 500 to 2500 gauss; in order to facilitate separation, three magnetic field strength intervals are set: interval 1: 500 to 1000 gauss, interval 2: 1001 to 1500 gauss, interval 3: 1501 to 2500 gauss; the ore in each interval is classified according to its magnetic induction intensity and there is no overlapping part; for example, ore with a magnetic induction intensity of 900 gauss will enter interval 1, ore with a magnetic induction intensity of 1200 gauss will enter interval 2, and ore with a magnetic induction intensity of 2000 gauss will enter interval 3; in this way, each ore is allocated to a unique magnetic field strength interval;

[0090] To ensure that there is no overlap between different magnetic field strength intervals to avoid misclassification of ore and ensure the accuracy and efficiency of the separation operation; the range of each magnetic field strength interval is fixed and these intervals are not allowed to overlap; if the magnetic induction intensity of an ore is exactly at the junction of two intervals, it should be allocated to one interval and not to both; this is crucial for subsequent separation processes and can avoid repeated processing of the same ore; example: if the intervals set are: interval 1: 500 to 1000 gauss, interval 2: 1001 to 1500 gauss, interval 3: 1501 to 2500 gauss, then ore with a magnetic induction intensity of 1000 gauss is allocated to interval 1, and ore with a magnetic induction intensity of 1001 gauss is allocated to interval 2, ensuring that there is no overlapping part between intervals; in this way, each piece of ore will be accurately allocated to a unique interval according to its magnetic field induction intensity.

[0091] In an optional embodiment, the strong magnetic ore material in the separation interval of the specified magnetic field strength interval is aggregated within the initial preset period, and the aggregated strong magnetic ore material is sent to the first magnetic field separation control process established and activated in advance to separate the strong magnetic ore magnetic field and obtain the first separation result, including:

[0092] In the separation interval within the specified magnetic field strength interval, the strong magnetic ore material is aggregated according to the initial preset period;

[0093] When the strong magnetic ore material gathered in the sorting interval within the specified magnetic field intensity interval exceeds the first weight threshold, the strong magnetic ore material gathered in the sorting interval within the specified magnetic field intensity interval is transmitted to a pre-established first magnetic field sorting control process, wherein the first magnetic field sorting control process includes a plurality of magnetic field sorting control processes;

[0094] Within the first magnetic field sorting control process, three-dimensional material grouping is performed according to the magnetic field induction intensity, particle size and mass distribution of the strong magnetic ore material, respectively, to obtain a grouping category;

[0095] The magnetic field adsorption efficiency of the grouping category is statistically processed to obtain an adsorption efficiency value;

[0096] The magnetic field sorting intensity is adjusted according to the adsorption efficiency value;

[0097] Precise magnetic field separation is performed according to the adjusted magnetic field sorting intensity to obtain a first sorting result.

[0098] It should be noted that after the ore is sorted into a specified interval according to the magnetic field induction intensity, the material is gathered for further processing; the preliminary sorting will separate the ore according to the magnetic field induction intensity, and then the ore in each interval will be gathered according to the initial preset time period; for example, if the initial time period set by the system is 10 minutes, the ore material in the specified magnetic field intensity interval within 10 minutes will be gathered for the next step of processing; example: assuming that you have divided the ore into three magnetic field intensity intervals: interval 1 (500-1000 Gauss), interval 2 (1001-1500 Gauss), and interval 3 (1501-2500 Gauss); within each interval, the system will gather all ore with a magnetic field induction intensity within the interval within a predetermined time period (such as 10 minutes);

[0099] When the amount of ore gathered in the specified magnetic field intensity interval exceeds the set weight threshold, it is sent to the magnetic field sorting process for further sorting; by setting a first weight threshold, it is ensured that the magnetic field sorting control process will only be started after enough ore is gathered; this can avoid starting the sorting process too early and ensure efficient operation of the system; example: assuming that the first weight threshold set is 500 kg, i.e., when the cumulative weight of ore in a magnetic field intensity interval exceeds 500 kg, the ore will be sent to the sorting control process; if the ore in interval 1 is gathered to 550 kg within 10 minutes, the ore will be transferred to the first magnetic field sorting control process for processing;

[0100] More detailed classification of ore materials, three-dimensional grouping according to magnetic field induction intensity, particle size and mass distribution; three-dimensional material grouping is a more accurate classification method for ore; according to the three key parameters of each ore (magnetic field induction intensity, particle size and mass distribution), the ore is classified into different categories; for example, ore with high magnetic field induction intensity may be classified in combination with small particle ore and large particle ore for subsequent fine processing; example: assuming that the ore distribution in a certain interval is as follows: magnetic field induction intensity: 1000-1500 gauss, particle size: greater than 10 mm and less than 10 mm, mass distribution: distribution of different ore components, according to the three parameters, the system classifies these ores into multiple categories, such as: category 1: 1000-1500 gauss, particle size greater than 10 mm, high density, category 2: 1000-1500 gauss, particle size less than 10 mm, low density, category 3: 1000-1500 gauss, particle size greater than 10 mm, low density, statistical analysis of the adsorption efficiency of each category of ore under a certain magnetic field, to understand the response intensity of different ores under a magnetic field; the adsorption efficiency of each type of ore under a certain magnetic field is different, and the higher the adsorption efficiency value, the better the separation effect; by analyzing the adsorption efficiency of these ores, the magnetic properties of different ores can be further understood; example: for category 1 ore (1000-1500 gauss, particle size greater than 10 mm, high density), the magnetic adsorption efficiency value may be 80%, indicating that this type of ore can be effectively adsorbed under the current magnetic field conditions; for category 2 ore (particle size less than 10 mm, low density), the adsorption efficiency value may be 40%, indicating that this type of ore has poor adsorption effect under the same magnetic field;

[0101] Adjust the magnetic field strength according to the adsorption efficiency value of different ores to achieve the best magnetic separation effect; ores with higher adsorption efficiency values require stronger magnetic fields for separation; while ores with lower adsorption efficiency values may require weaker magnetic fields to avoid unnecessary loss due to excessive adsorption; example: if the adsorption efficiency value of category 1 ore is 80%, the magnetic field strength can be appropriately increased to ensure that these ores are maximally separated; while the adsorption efficiency value of category 2 ore is lower, only 40%, so the magnetic field strength can be appropriately reduced to avoid excessive adsorption and waste energy;

[0102] Under the adjusted magnetic field strength, the separation of ores is accurately carried out to obtain the final separation result; after adjusting the magnetic field strength, different categories of ores are effectively separated through fine magnetic field separation; the separation result includes the final allocation and processing result of each category of ore; example: after accurately adjusting the magnetic field strength, the system successfully separates: category 1 ore (high magnetic field adsorption efficiency) is successfully separated; category 2 ore (low magnetic field adsorption efficiency) is removed or processed in a different way.

[0103] In an optional embodiment, when the weight of the accumulated weakly magnetic ore material exceeds the specified weight threshold, before the pre-established and activated second spectral sorting control process is performed on the accumulated weakly magnetic ore material to obtain the elemental concentration values, it further includes: accumulating the weakly magnetic ore material in a subsequent preset period, wherein the subsequent preset period is longer than the initial preset period.

[0104] When the weight of the weakly magnetic ore material accumulated in the subsequent preset period exceeds the second weight threshold, the weakly magnetic ore material is transported to the pre-established second spectral sorting control process and the second spectral sorting control process is started to perform spectral sorting processing on the weakly magnetic ore material in the second material buffer area, wherein the second weight threshold is less than the first weight threshold.

[0105] It should be noted that the weakly magnetic ore material is first preliminarily accumulated to ensure that its quality meets the conditions for subsequent sorting; in the initial stage, the ore material is accumulated according to the set magnetic field strength and accumulated through a certain period of time; here, the subsequent accumulation period (such as 10 minutes) is longer than the initial period (such as 5 minutes) in order to more comprehensively accumulate the ore material; example: assuming that the initial period is set to 5 minutes, the weight of the ore material is accumulated to 100 kg in this time; then, the preset period is increased to 10 minutes, and the weakly magnetic ore material is accumulated again in this period, which may have 200 kg of ore entering the next process;

[0106] According to the weight of the ore, it is determined when to start the subsequent processing process; two weight thresholds are set: the first weight threshold: the quality of the preliminarily accumulated ore reaches the set threshold (for example, 500 kg), and the ore is started to be transported to the second spectral sorting control process; the second weight threshold: the set second weight threshold is less than the first threshold (for example, 300 kg), and when the weight of the subsequently accumulated ore exceeds the second threshold, the second spectral sorting control process is started; example: the preliminary stage may only accumulate 400 kg of ore, which is not enough to start the second process, but in the subsequent 10 minutes, 600 kg of ore is accumulated, which exceeds the second threshold, and enters the second spectral sorting stage;

[0107] The elements in the accumulated ore are analyzed by spectral technology to analyze the concentration of different elements in the ore and finely classify the ore. When the quality of the ore exceeds a second weight threshold (e.g., 300 kg), the system initiates a second spectral sorting control process to perform element spectral analysis on the ore to obtain the concentration values of different elements. Through this process, more detailed classification can be performed according to the composition of elements in the ore. Example: Suppose there are 600 kg of ore accumulated in the subsequent accumulation, and the following results are obtained through spectral analysis: Ore 1: High concentration of magnetic elements, suitable for further magnetic separation; Ore 2: Low concentration of magnetic elements, but contains a high concentration of a certain rare metal element, suitable for other types of sorting processing.

[0108] In the second spectral sorting control process, the ore is accurately sorted according to the spectral analysis results. Through spectral sorting, the ore will be further classified according to its element composition. For example, ore containing a high concentration of valuable elements may be preferentially selected, while ore containing impurities may be rejected. Example: In the second spectral sorting control process, suppose the following results are obtained: Ore 1 has an aluminum concentration of 15% and a zinc concentration of 5%, and is assigned to a production line that prioritizes aluminum extraction; Ore 2 has a manganese concentration of 8% and is assigned to a process that extracts manganese.

[0109] In an optional embodiment, when the weight of the accumulated weakly magnetic ore material exceeds a specified weight threshold, the accumulated weakly magnetic ore material is subjected to element spectral analysis in a pre-established and activated second spectral sorting control process to obtain element concentration values, including:

[0110] In the second spectral sorting control process, the accumulated weakly magnetic ore material is analyzed to obtain element concentration values.

[0111] In an optional embodiment, the accumulated weakly magnetic ore material is analyzed to obtain element concentration values, including:

[0112] Obtain the mineral spectral distribution map of the weakly magnetic ore material;

[0113] Preprocess the mineral spectral distribution map to obtain a target spectral distribution map;

[0114] Based on the target spectral distribution map, perform spectral line calibration on the target analysis elements and ore matrix elements based on a weakly magnetic ore element spectral line standard library to obtain calibrated target analysis element characteristic spectral lines and ore matrix element characteristic spectral lines;

[0115] Select two different excitation state spectral lines in the target analysis element characteristic spectral lines to obtain the spectral intensity ratio of the two different excitation state spectral lines;

[0116] Compare the weakly magnetic ore element spectral line standard library to obtain the energy level parameters corresponding to the two spectral lines.

[0117] Determine the mineral phase temperature corresponding to the target analysis element based on the spectral intensity ratio and energy level parameters;

[0118] According to the characteristic spectrum line of the target analysis element, extract the key characteristic wavelength of the target analysis element;

[0119] According to the key characteristic wavelength, determine the core characteristic spectrum line corresponding to the target analysis element;

[0120] Match the core characteristic spectrum line with the mineral phase temperature corresponding to the target analysis element to obtain the target analysis characteristic; input the target analysis characteristic into the concentration analysis model to obtain the concentration value of the target analysis element.

[0121] It should be noted that the ore is scanned by a spectrometer to obtain the spectral distribution of each element in the ore; this distribution reflects the overall spectral characteristics of the ore; example: assume that a weakly magnetic ore is scanned, and the spectral distribution graph shows the spectral intensity at different wavelengths, and the obvious peak value can be seen, representing the elements contained in the ore;

[0122] Preprocessing is to denoise, smooth, calibrate, etc. to the original spectrum to obtain the target spectral distribution, and remove unnecessary stray signals; example: assume that there are many clutter on the original spectrum, and the clutter is removed after preprocessing, making the target spectrum more clear and highlighting the characteristics of the target element in the ore; according to the preprocessed spectrum, use the weakly magnetic ore element spectrum line standard library to calibrate the spectrum line of the target analysis element and the ore matrix element; this can help accurately identify the characteristic spectrum line of the target element; example: assume that the target analysis element is zinc and the mineral matrix element is iron; through the standard library comparison, the characteristic spectrum lines of zinc and iron are determined;

[0123] From the spectrum line of the target analysis element, select two different excitation state spectrum lines and calculate their spectral intensity ratio; this helps to improve the accuracy of analysis; example: assume that two excitation state spectrum lines of zinc are selected, located at wavelengths 1000nm and 1500nm, respectively, by measuring their spectral intensity, the ratio is obtained; compare the element spectrum line standard library to obtain the energy level parameters corresponding to the two excitation state spectrum lines to help subsequent analysis; example: through the standard library search, it is found that the two spectrum lines of zinc correspond to different energy levels (for example, 1000nm corresponds to energy level 1→2, 1500nm corresponds to energy level 2→3);

[0124] Based on the spectral intensity ratio and energy level parameters, the mineral phase temperature corresponding to the target analysis element is calculated. The temperature of the mineral will affect the intensity of its spectral line. Example: Assuming that through calculation, the temperature of zinc in the ore is 1200K; this temperature value helps to further analyze the concentration of the element. Based on the spectral line of the target element and the mineral phase temperature, the key characteristic wavelengths of the target analysis element are extracted, which are the most representative characteristics of the element; Example: For zinc, wavelengths 1000nm and 1500nm can be selected as the key characteristic wavelengths, as they best represent the element characteristics of zinc; According to the key characteristic wavelengths, the core characteristic spectral lines of the target element are determined, which are the most critical part of the element analysis; Example: For zinc, the spectral line at wavelength 1000nm may be the core characteristic spectral line, as it is most sensitive to changes in zinc concentration.

[0125] The core characteristic spectral line is matched with the mineral phase temperature to ensure that the analysis result reflected by the spectral line is consistent with the actual state of the ore; Example: If the ore temperature is 1200K, the spectral characteristics of zinc at this temperature should conform to the expected energy state and spectral line intensity; The characteristic information of the target element obtained through spectral analysis is input into the concentration analysis model, and the concentration of the target element in the ore is finally calculated; Example: Input the core characteristic spectral line of zinc and the mineral phase temperature and other data into the concentration analysis model, and the model outputs the concentration of zinc as 15% (i.e. the ore contains 15% zinc).

[0126] In an optional embodiment, according to the target spectral distribution map, based on the weakly magnetic ore element spectral line standard library, the spectral line of the target analysis element and the ore matrix element is calibrated to obtain the calibrated target analysis element characteristic spectral line and ore matrix element characteristic spectral line, including:

[0127] Obtain the spectral data of the weakly magnetic ore sample corresponding to the target spectral distribution map, including the spectral intensity and wavelength coordinates of each wavelength point in the spectral distribution map;

[0128] Determine a plurality of energy points according to the spectral data;

[0129] According to the spectral data of each energy point and the spectral data of the wavelength origin of the spectral distribution map, the slope of the straight line formed by the energy point and the wavelength origin of the spectral distribution map is calculated;

[0130] Sort each slope in ascending order, and determine the energy point corresponding to the slope of the preset proportion in the back of the sorting as the energy point not conforming to the ore change trend;

[0131] Remove the energy points not conforming to the ore change trend from the plurality of energy points to obtain the energy points conforming to the ore change trend;

[0132] Determine the ore spectrum in the target spectral distribution map according to the spectral data of each energy point;

[0133] Remove the ore spectrum in the target spectral distribution map to obtain the element characteristic peak spectrum of the weakly magnetic ore sample;

[0134] Based on the weakly magnetic ore element spectral line standard library, the spectral line of the target analysis element characteristic peak and the ore matrix element characteristic peak in the element characteristic peak spectrum is calibrated to obtain the calibrated target analysis element characteristic spectral line and ore matrix element characteristic spectral line.

[0135] It should be noted that the spectral data of the target ore sample at different wavelengths, including the spectral intensity and the corresponding wavelength coordinate of each wavelength, is obtained; this is the basis for spectral line analysis; for example: assuming that a weakly magnetic ore sample is scanned, the obtained spectral data contains spectral intensity at different wavelengths (for example, from 400 nm to 1000 nm); for example, at a wavelength of 500 nm, the spectral intensity is 120; at a wavelength of 600 nm, the spectral intensity is 200; according to the spectral data, a plurality of energy points are selected, which can be characteristic points in the spectral graph, representing the spectral line characteristics of ore elements; for example: assuming that several important wavelength points (such as 500 nm, 600 nm, 700 nm, etc.) in the spectral data are selected, which will be used for subsequent analysis and calculation;

[0136] By calculating the straight line slope between the spectral data of each energy point and the spectral data of the wavelength origin of the spectral distribution map, the trend of the energy point in the spectral graph is determined; for example: assuming that the wavelength 500 nm is taken as the origin, the spectral intensity data of other wavelength points (such as 600 nm and 700 nm) are compared; the ratio of the spectral intensity difference and the wavelength difference between each two wavelength points is calculated to obtain the slope; for example, from 500 nm to 600 nm, the spectral intensity increases from 120 to 200, and the calculated slope is (200-120) / (600-500)=0.8; sort all the calculated slopes in ascending order; then, select the energy point corresponding to the slope at the rear of the sorting (i.e. not in line with the expected change trend of the ore) and remove it; for example: assuming that several slope values are obtained: 0.8, 0.2, 0.5, 1.0; the point with a lower slope (for example, 0.2) may indicate that the change trend of the ore element is abnormal, which may be caused by noise or interference factors; therefore, the energy point corresponding to the slope 0.2 is removed;

[0137] By removing the energy points that do not conform to the trend of the ore, the energy points that conform to the trend of the ore are finally obtained, which represent the true spectral characteristics of the ore; example: in the previous step, the points with a slope of 0.2 are removed, and the remaining energy points (e.g. 500nm, 600nm, 700nm) will be retained as points that conform to the trend of the ore; according to the energy points that conform to the trend of the ore, the spectral characteristic spectrum of the ore in the target spectral distribution map is determined; this spectrum will reveal the overall spectral characteristics of the ore; example: according to the above-mentioned points of 500nm, 600nm and 700nm, the spectral spectrum of the ore is drawn, showing the spectral intensity characteristics of the ore at these wavelengths;

[0138] The ore spectrum is removed from the target spectral distribution map to obtain a spectrum containing only element characteristic peaks; this spectrum mainly reflects the characteristics of the target elements in the ore; example: assuming that the ore spectrum mainly contains the characteristic spectral lines of iron, zinc and other elements, by removing the spectral signals of these ore matrix elements, a spectrum is obtained that only reflects the characteristics of the target analysis elements (such as copper or lead); using the weakly magnetic ore element spectral line standard library, the target analysis elements and ore matrix element characteristic peaks in the element characteristic peak spectrum are calibrated to obtain calibrated spectral lines; this process helps to confirm the spectral line position of the target elements in the ore; example: assuming that the characteristic peak of copper is found in the element characteristic peak spectrum, and the position and intensity of the characteristic peak are confirmed by the standard library; for copper, the standard library shows that its characteristic spectral line is located at 900nm; therefore, the characteristic spectral line of copper is calibrated to 900nm;

[0139] After calibrating the spectral lines of the target analysis elements (such as copper, lead, etc.) and the ore matrix elements (such as iron, manganese, etc.), accurate spectral line information is obtained; these spectral lines provide the basis for subsequent element concentration analysis; example: assuming that after calibration, the characteristic spectral line of copper is 900nm, the characteristic spectral line of iron is 1000nm, and the characteristic spectral line of manganese is 1100nm; in this way, these calibrated spectral lines can be used for subsequent analysis.

[0140] In an optional embodiment, the training method of the concentration analysis model comprises:

[0141] Obtain the sample spectral distribution map of the weakly magnetic ore sample, the sample mineral phase temperature, and the corresponding sample element concentration label;

[0142] After preprocessing the sample spectral distribution map, the sample target spectrum is obtained, and the sample target analysis element characteristic spectral line is calibrated;

[0143] The sample target analysis element characteristic spectral line and the sample mineral phase temperature are used as input, and the sample element concentration label is used as output to train the initial analysis model;

[0144] Adjust the parameters of the initial analytical model by a gradient descent algorithm until the model prediction error is less than a preset error threshold, to obtain a trained concentration analytical model.

[0145] It should be noted that the relevant data of the collected ore sample includes its spectral distribution graph (reflecting the spectral characteristics of the ore at different wavelengths), mineral phase temperature (physical conditions of the ore), and corresponding element concentration label (actual concentration of the target analysis element in each sample); for example: assuming there is a batch of weakly magnetic ore samples, their spectral data at different wavelengths (for example, wavelength range of 400nm to 1000nm) are obtained, and the mineral phase temperature of the sample (such as 600°C) and the concentration label of the target element (such as copper, zinc, etc.) (for example, copper concentration of 2.5%) are recorded;

[0146] The sample spectral distribution graph is preprocessed to remove noise, standardize data, etc., and finally the target spectral graph of the sample is obtained, which is used for subsequent model training; for example: assuming that the spectral data between 400nm and 1000nm are included in the spectral graph of a certain sample; in the preprocessing process, noise removal (such as through a smoothing filter) may be performed, standardization (to make the spectral intensity range [0, 1]), and irrelevant background signals are removed; these processed data constitute the target spectral graph;

[0147] In the preprocessed target spectral graph, the characteristic spectral lines of the target analysis elements are marked, which reflect the concentration information of the target elements in the sample; for example: assuming that through a standard library or experimental data, it is found that the copper element has a characteristic spectral line at 900nm and the zinc element has a characteristic spectral line at 1100nm; then, the positions of these characteristic spectral lines in the spectral graph are marked, and the spectral intensities at these positions are extracted as features;

[0148] The marked characteristic spectral lines of the target analysis elements (such as the spectral line positions and intensities of copper and zinc) and the mineral phase temperature of the sample are taken as input, and the element concentration label of the sample is taken as output, to construct an initial concentration analytical model; for example: assuming that the copper characteristic spectral line intensity of a certain sample is 150, the zinc characteristic spectral line intensity is 100, the mineral phase temperature is 600°C, and the actual copper concentration of the sample is 2.5%; these data are taken as input features (spectral line intensities of copper and zinc + temperature), and the actual copper concentration 2.5% is taken as output label to train the model;

[0149] The model parameters are adjusted using optimization methods such as gradient descent algorithm to make the model more accurate in predicting element concentrations; during the training process, the model will continuously adjust its parameters to minimize the error between the predicted and actual values until the error is less than the pre-set error threshold; example: assume the initial parameters of the analytical model are some random values, through training, the model tries to calculate the weighted sum of the spectral data and mineral phase temperature for each sample to predict the concentration of copper; assume the model initially predicts the copper concentration to be 3.0%, while the actual concentration is 2.5%, which means the error of the model is 0.5%; the model will adjust the parameters according to the gradient descent algorithm to reduce the error; when the error is reduced to below 0.05%, the model training is complete;

[0150] The trained concentration analysis model can predict the concentration of target elements based on new ore spectral data and mineral phase temperature; example: assume that the final concentration analysis model obtained after training can accurately predict the concentration of copper elements in ore based on the characteristic spectral line intensity of copper and zinc at different wavelengths and the mineral phase temperature; for example, input a new sample data (copper spectral line intensity is 180, zinc spectral line intensity is 120, and mineral phase temperature is 650°C), the model predicts the copper concentration to be 2.8%, which is very close to the actual concentration.

[0151] Embodiment two, please refer to Figure 2 The present application provides a technical solution: a magnetic separation and photoelectric separation combined ore sorting control system, which is suitable for the above-mentioned magnetic separation and photoelectric separation combined ore sorting control method, comprising:

[0152] The material partition unit 1 is used for dynamically partitioning the strong magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore, to obtain a sorting interval within a specified magnetic field strength interval;

[0153] The first sorting unit 2 is used for aggregating the strong magnetic ore material in the sorting interval within the specified magnetic field strength interval within the initial preset period, and sending the aggregated strong magnetic ore material to the pre-established and activated first magnetic field sorting control process for sorting processing of the strong magnetic ore magnetic field, to obtain the first sorting result;

[0154] The material aggregation unit 3 is used for aggregating the weak magnetic ore material in the second material buffer zone within the subsequent preset period;

[0155] The spectral analysis unit 4 is used for performing element spectral analysis on the aggregated weak magnetic ore material when the weight of the aggregated weak magnetic ore material exceeds a specified weight threshold, to obtain an element concentration value, under the pre-established and activated second spectral sorting control process;

[0156] The second sorting unit 5 is used for sorting processing of the weak magnetic ore material according to the element concentration value, to obtain the second sorting result.

[0157] The embodiments of the present application are described in detail above with reference to the accompanying drawings, but the present application is not limited to the embodiments. Various changes that one skilled in the art would make within the scope of the knowledge of the art without departing from the spirit of the present application are possible.

Claims

1. A method for controlling ore separation combining magnetic separation and photoelectric separation, characterized in that, include: Based on the magnetic field induction characteristics of the ore, the strongly magnetic ore material in the first material buffer zone is dynamically divided into sorting zones within a specified magnetic field strength range. Within an initial preset time period, strongly magnetic ore materials in the sorting interval within the specified magnetic field strength range are aggregated, and the aggregated strongly magnetic ore materials are sent into a pre-established and activated first magnetic field sorting control process to sort the strongly magnetic ore magnetic field and obtain the first sorting result. The weakly magnetic ore material in the second material buffer zone is aggregated during a subsequent preset time period; When the weight of the aggregated weakly magnetic ore material exceeds the specified weight threshold, the aggregated weakly magnetic ore material is subjected to elemental spectral analysis in a pre-established and activated second spectral sorting control process to obtain elemental concentration values. The weakly magnetic ore material is sorted according to the element concentration value to obtain a second sorting result.

2. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 1, characterized in that, Before dynamically partitioning the strongly magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore to obtain the sorting interval within the specified magnetic field strength range, the process also includes: The complete ore material flow is introduced into the material distribution sequence in sequence. During the process of introducing the complete ore material flow into the material distribution sequence in sequence, the material locking interception function is used to lock the material picking operation of the material distribution sequence. The complete ore material flow includes strongly magnetic ore material and weakly magnetic ore material. After all complete ore materials have been introduced into the material distribution sequence, the material lock is released to release the material dispensing operation of the material distribution sequence; Based on the material handling operation, the complete ore material in the material distribution sequence is distributed to the first material buffer and the second material buffer, so that strong magnetic ore magnetic field separation processing is performed in the first material buffer, and weak magnetic ore spectral separation processing is performed in the second material buffer.

3. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 2, characterized in that, Based on the magnetic field induction characteristics of the ore, the strongly magnetic ore material in the first material buffer zone is dynamically partitioned to obtain sorting intervals within a specified magnetic field strength range, including: The magnetic field strength of the strongly magnetic ore stored in the first material buffer zone is obtained by detecting the magnetic ore. The ore material within the magnetic field induction intensity range is divided into a predetermined number of sorting intervals with specified magnetic field induction intensity ranges. The sorting intervals with specified magnetic field induction intensity ranges cover the magnetic field induction intensity within a local interval, and there is no intensity overlap between the sorting intervals with specified magnetic field induction intensity ranges.

4. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 3, characterized in that, Within an initial preset time period, strongly magnetic ore materials within the designated magnetic field strength range are aggregated, and the aggregated strongly magnetic ore materials are sent to a pre-established and activated first magnetic field sorting control process for magnetic field sorting to obtain a first sorting result, including: Within a designated magnetic field strength range, strongly magnetic ore materials are aggregated according to an initial preset time period. When the amount of strongly magnetic ore material gathered in the sorting interval within the specified magnetic field strength range exceeds the first weight threshold, the strongly magnetic ore material gathered in the sorting interval within the specified magnetic field strength range is transferred to the pre-established first magnetic field sorting control process, wherein the first magnetic field sorting control process includes multiple magnetic field sorting control processes. Within the first magnetic field sorting control process, the three-dimensional materials are grouped according to the magnetic field induction intensity, particle size and mass distribution of the strongly magnetic ore materials to obtain the grouping categories. The magnetic field adsorption efficiency of the group categories is statistically processed to obtain the adsorption efficiency value; Adjust the magnetic field sorting intensity according to the adsorption efficiency value; Precise magnetic field separation is performed based on the adjusted magnetic field sorting intensity to obtain the first sorting result.

5. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 4, characterized in that, When the weight of the aggregated weakly magnetic ore material exceeds a specified weight threshold, before the second spectral sorting control process, which is pre-established and activated, performs elemental spectral analysis on the aggregated weakly magnetic ore material to obtain elemental concentration values, the process further includes: accumulating the weakly magnetic ore material in a subsequent preset time period, wherein the subsequent preset time period is longer than the initial preset time period. When the weight of the weakly magnetic ore material accumulated during the subsequent preset time period exceeds the second weight threshold, the weakly magnetic ore material is transported to the pre-established second spectral sorting control process and the second spectral sorting control process is started so that the weakly magnetic ore material in the second material buffer is subjected to spectral sorting processing in the second spectral sorting control process, wherein the second weight threshold is less than the first weight threshold.

6. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 5, characterized in that, When the weight of the aggregated weakly magnetic ore exceeds a specified weight threshold, the pre-established and activated second spectral sorting control process performs elemental spectral analysis on the aggregated weakly magnetic ore to obtain elemental concentration values, including: Within the second spectral sorting control process, the aggregated weakly magnetic ore material is analyzed to obtain elemental concentration values.

7. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 6, characterized in that, The aggregated weakly magnetic ore material was analyzed to obtain elemental concentration values, including: Obtain the mineral spectral distribution map of the weakly magnetic ore material; The mineral spectral distribution map is preprocessed to obtain the target spectral distribution map; Based on the target spectral distribution map, and using a standard library of weakly magnetic ore element spectral lines, the target analytical elements and ore matrix elements are spectrally calibrated to obtain the calibrated characteristic spectral lines of the target analytical elements and the characteristic spectral lines of the ore matrix elements. Select two different excited-state spectral lines from the characteristic spectral lines of the target element and obtain the ratio of the spectral intensities of the two different excited-state spectral lines; By comparing with the standard library of spectral lines of weakly magnetic mineral elements, the energy level parameters corresponding to the two spectral lines were obtained; The mineral phase temperature corresponding to the target analytical element is determined based on the spectral intensity ratio and energy level parameters. Based on the characteristic spectral lines of the target element, extract the key characteristic wavelengths of the target element; Based on the key characteristic wavelengths, determine the core characteristic spectral lines corresponding to the target analytical element; The core feature spectral lines are matched with the mineral phase temperature corresponding to the target analytical element to obtain the target analytical features; the target analytical features are input into the concentration analysis model to obtain the concentration value of the target analytical element.

8. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 7, characterized in that, Based on the target spectral distribution map, and using a standard library of weakly magnetic ore element spectral lines, the target analytical elements and ore matrix elements are spectrally calibrated to obtain the calibrated characteristic spectral lines of the target analytical elements and the characteristic spectral lines of the ore matrix elements, including: Obtain spectral data of a weakly magnetic ore sample corresponding to the target spectral distribution map, wherein the spectral data includes the spectral intensity and wavelength coordinates of each wavelength point in the spectral distribution map; Multiple energy points are determined based on the spectral data; Based on the spectral data of each energy point and the spectral data of the wavelength origin of the spectral distribution map, calculate the slope of the straight line formed by the energy point and the wavelength origin of the spectral distribution map. The inclination rates are sorted in ascending order, and the energy points corresponding to the inclination rates with the lowest preset ratios are determined to be energy points that do not conform to the ore change trend. Remove energy points that do not conform to the ore change trend from the plurality of energy points to obtain energy points that conform to the ore change trend; The ore spectrum in the target spectral distribution map is determined based on the spectral data of each energy point; The ore spectrum is removed from the target spectral distribution map to obtain the elemental characteristic peak spectrum of the weakly magnetic ore sample; Based on the standard library of weakly magnetic ore element spectral lines, the characteristic peaks of the target analytical element and the characteristic peaks of the ore matrix element in the characteristic peak spectrum are spectrally calibrated to obtain the calibrated characteristic spectral lines of the target analytical element and the characteristic spectral lines of the ore matrix element.

9. The ore sorting control method combining magnetic separation and photoelectric separation according to claim 8, characterized in that, The training method for the concentration analysis model includes: Obtain the spectral distribution map, mineral phase temperature, and corresponding elemental concentration labels of weakly magnetic ore samples; After preprocessing the sample spectral distribution map, the sample target spectral map is obtained, and the characteristic spectral lines of the sample target analytical elements are calibrated. The initial analytical model is trained by taking the spectral lines of the target elemental analysis of the sample and the mineral phase temperature of the sample as inputs and the elemental concentration labels of the sample as outputs. The parameters of the initial analytical model are adjusted using the gradient descent algorithm until the model prediction error is less than a preset error threshold, thus obtaining the trained concentration analytical model.

10. A combined magnetic and photoelectric separation ore sorting control system, applicable to the combined magnetic and photoelectric separation ore sorting control method according to any one of claims 1-9, characterized in that, include: The material partitioning unit is used to dynamically partition the strongly magnetic ore material in the first material buffer zone according to the magnetic field induction characteristics of the ore, so as to obtain the sorting interval within the specified magnetic field strength range. The first sorting unit is used to gather strongly magnetic ore materials in the sorting interval within the specified magnetic field strength range within an initial preset time period, and send the gathered strongly magnetic ore materials into the first magnetic field sorting control process that has been pre-established and activated to sort the magnetic field of the strongly magnetic ore and obtain the first sorting result. The material gathering unit is used to gather the weakly magnetic ore material in the second material buffer zone during a subsequent preset time period. The spectral analysis unit is used to perform elemental spectral analysis on the aggregated weakly magnetic ore material when the weight of the aggregated weakly magnetic ore material exceeds a specified weight threshold, in a pre-established and activated second spectral sorting control process, to obtain elemental concentration values. The second sorting unit is used to sort the weakly magnetic ore material according to the element concentration value to obtain the second sorting result.

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