Intelligent coal impurity removal method and system

Abstract

The invention is suitable for the field of intelligent impurity removal, and provides an intelligent coal impurity removal method and system.The intelligent coal impurity removal method comprises the steps that impurity concentration change data of impurities in a coal material in a first processing area corresponding to a conveying assembly is obtained; according to the impurity concentration change data and first conveying data of the conveying assembly to the coal material, whether the first processing area is separated or not is determined; under the condition that the first processing area is determined and separated, according to the impurity concentration change data of the coal in each sub-area and the relative position relation between each sub-area and a second processing area, determining the impurity concentration change data of the coal in each sub-area; and determining the time difference when the first concentration data of the coal impurities in each sub-region reaches a first threshold value, and executing a material adding strategy based on the relative position relationship. According to the technical scheme, the impurity removal efficiency can be improved, and the impurity removal requirement is relatively low.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent impurity removal, and in particular relates to an intelligent coal impurity removal method and system. Background Art

[0002] During the industrial utilization of coal (such as combustion, gasification, and coking), impurities in coal (such as sulfur, sodium, and chlorine) can cause serious environmental and equipment problems, mainly including: the hazards of sulfur (S), environmental pollution: sulfur dioxide is generated during combustion, leading to acid rain and air pollution, equipment corrosion: reacting with metals at high temperatures, accelerating the corrosion of boilers and pipelines, coking impact: excessive sulfur content will reduce the quality of coke and affect steel smelting, the hazards of sodium (Na) and chlorine (Cl), slagging and ash accumulation: sodium forms low-melting-point compounds during the combustion process, leading to boiler slagging, etc.

[0003] In related technologies, the removal of coal impurities (such as one or several impurities) mainly relies on physical, chemical and biological methods, which makes it difficult to balance the treatment efficiency and / or the impurity removal treatment has high requirements. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide an intelligent method and system for removing impurities from briquette coal, aiming to solve the problems raised in the above-mentioned background technology.

[0005] The embodiment of the present invention is implemented as follows: on the one hand, a method for removing impurities from intelligent coal briquettes, the method comprising the following steps:

[0006] Acquiring impurity concentration change data of impurities in the coal material in a first processing area corresponding to the conveying assembly, wherein the first processing area includes a plurality of sub-areas configured to be separable from each other;

[0007] determining whether to separate the first processing area according to the impurity concentration change data and the first coal material transmission data of the transmission component;

[0008] When the first processing area is determined and separated, the time difference at which the first concentration data of the coal impurities in each sub-area reaches a first threshold is determined based on the impurity concentration change data of the coal in each sub-area and the relative positional relationship between each sub-area and the second processing area, and a material increase strategy is executed based on the relative positional relationship to monitor whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold.

[0009] When the first concentration data of the sub-area reaches a first threshold, based on the relative position relationship, the corresponding sub-area is controlled to align with the second processing area and then open and the coal material is transferred to the second processing area for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

[0010] As a further embodiment of the present invention, obtaining the impurity concentration change data of the impurities in the coal material in the first processing area corresponding to the conveying component includes:

[0011] Dynamically acquiring impurity concentration monitoring data at a plurality of monitoring points within the first processing area, wherein the coal material having an identifier is provided in each of the sub-areas via the conveying assembly;

[0012] According to the impurity concentration monitoring data, impurity concentration change data of the impurities in each of the sub-regions with monitoring time is determined.

[0013] As a further embodiment of the present invention, determining whether to separate the first processing area according to the impurity concentration change data and the first coal material transmission data of the transmission component includes:

[0014] performing correlation analysis on the impurity concentration change data and the first transmitted data to determine whether to separate the first processing area, wherein the first transmitted data includes at least one of coal flow rate and particle size content;

[0015] If it is determined to separate the first processing area, the physical separation state of at least two sub-areas is adjusted accordingly.

[0016] As a further embodiment of the present invention, the determining whether to separate the first processing area includes:

[0017] If it is detected based on the impurity concentration change data that the difference in impurity concentration change data at the monitoring points in two adjacent sub-areas in the same period is greater than a first preset difference, determining whether the difference in particle size content between the two adjacent sub-areas reaches a second preset difference;

[0018] If the difference in particle size content between two adjacent sub-regions reaches a second preset difference, it is determined to perform a separation operation between the corresponding two adjacent sub-regions.

[0019] As a further embodiment of the present invention, when the first processing area is determined and separated, based on the impurity concentration change data of the coal material in each sub-area and the relative positional relationship between each sub-area and the second processing area, determining the time difference at which the first concentration data of the coal impurities in each sub-area reaches a first threshold, and executing a material increase strategy based on the relative positional relationship, wherein monitoring whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold includes:

[0020] Determine, based on the impurity concentration change data of the coal in each of the sub-regions, an estimated time duration for the first concentration data of each of the sub-regions to reach a first threshold value without adding new coal, and determine, based on the estimated time duration and the first relative position between the sub-regions, a set time duration for the separated sub-regions according to the equal gradient interval time duration;

[0021] The amount of coal to be added to each of the sub-areas is determined based on the set duration, estimated duration, and impurity concentration monitoring data of each of the sub-areas.

[0022] As a further solution of the present invention, determining the amount of coal to be added to each sub-region based on the set duration, estimated duration, and impurity concentration monitoring data of each sub-region includes:

[0023] Determining the amount of change in impurity content per unit time based on the impurity concentration change data of the coal impurities in each of the sub-regions;

[0024] The amount of coal to be added in each of the sub-areas is determined according to the set duration of each sub-area, the change in impurity content under the set duration, the first concentration threshold, the impurity concentration monitoring data and the current coal amount.

[0025] As a further solution of the present invention, determining the set duration of the separated sub-regions according to the estimated duration and the first relative position between the sub-regions according to the equal gradient interval duration includes:

[0026] The sub-region corresponding to the inverse ordinal number of the estimated duration is selected as the first sub-region, the equal gradient interval duration is determined according to the difference of the estimated duration, and the equal gradient interval duration is matched with the first relative position between each sub-region and the first sub-region to determine the set duration of the separated sub-region, wherein the farther away from the first sub-region, the longer the set time of the corresponding sub-region, and the inverse ordinal number of the duration indicates that the estimated duration is ranked in a preset inverse order from large to small.

[0027] As a further solution of the present invention, when the first concentration data of the sub-area reaches a first threshold, based on the relative position relationship, the corresponding sub-area is controlled to align with the second processing area and then opened, and the coal is transferred to the second processing area for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

[0028] Locating the sub-region that first reaches the first threshold, and based on the located sub-region, transferring the coal in the sub-region to a second processing region for further impurity removal;

[0029] According to the isogradient interval duration corresponding to the sub-region and the first relative position between each sub-region and the second region, sequentially determining the transition time and transition path of each sub-region into the second processing region;

[0030] Based on the duration of the isogradient interval and the total amount of coal in the sub-area, the processing parameters of the second processing area are determined and executed.

[0031] As a further embodiment of the present invention, the present invention further comprises:

[0032] If the separation condition is not met, the coal in the first processing area is processed uniformly;

[0033] When the first concentration data of the sub-area that meets the preset quantity ratio reaches the first threshold, the uniformly processed coal material will be transferred from the first processing area to the second processing area according to the preset capacity ratio, and the impurities reaching the first processing area will be further uniformly processed before being transferred.

[0034] As a further embodiment of the present invention, in another aspect, an intelligent briquette impurity removal system comprises:

[0035] an acquisition module, configured to acquire impurity concentration change data of impurities in the coal material in a first processing area corresponding to the conveying assembly, wherein the first processing area includes a plurality of sub-areas configured to be separable from each other;

[0036] a separation processing determination module, configured to determine whether to separate the first processing area according to the impurity concentration change data and the first transmission data of the coal material by the transmission component;

[0037] a separation monitoring module for, when determining and separating the first processing area, determining, based on the impurity concentration change data of the coal material in each of the sub-areas and the relative positional relationship between each of the sub-areas and the second processing area, a time difference at which the first concentration data of the coal impurities in each of the sub-areas reaches a first threshold, executing a feed increase strategy based on the relative positional relationship, and monitoring whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold;

[0038] The enhanced processing module is used to control the corresponding sub-area to align with the second processing area based on the relative position relationship when the first concentration data of the sub-area reaches a first threshold, open it, and transfer the coal material to the second processing area for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

[0039] An embodiment of the present invention provides an intelligent coal impurity removal method and system, which obtains impurity concentration change data of impurities in coal material in a first processing area corresponding to a conveying component, and determines whether to separate the first processing area according to the impurity concentration change data and the first transmission data of the coal material by the conveying component; when the first processing area is determined and separated, the time difference of the first concentration data of the coal impurities in each sub-area reaching a first threshold is determined according to the impurity concentration change data of the coal material in each sub-area and the first relative position between each sub-area and the second processing area, and a material increase strategy is executed based on the relative position relationship, and the first concentration data of the coal impurities in a single sub-area is monitored. Whether the first threshold is reached. When the first concentration data of a certain sub-area reaches the first threshold, based on the relative position relationship, the corresponding sub-area is controlled to open and the coal material is transferred to the second processing area for continued impurity removal treatment. The continued impurity removal treatment includes reducing the first concentration data. The coal material can be removed from different processing areas. Through the cooperation of the first processing area and the second processing area, the impurity removal efficiency is improved, the impurity removal effect is improved, and the processing volume of the coal material is increased. The requirements for the second processing area are relatively low. Multiple sub-areas can share the second processing area in succession. On the basis of ensuring the impurity removal efficiency, the processing requirements are reduced to a certain extent, thereby ensuring the quality of coal combustion and reducing pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a main flow chart of an intelligent coal impurity removal method.

[0041] Figure 2 The present invention is a schematic diagram of the arrangement of the first processing area and the second processing area in an intelligent coal impurity removal method.

[0042] Figure 3 It is the main structure diagram of an intelligent coal impurity removal system. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0045] The present invention provides an intelligent coal impurity removal method and system, which solve the technical problems in the background technology.

[0046] like Figure 1 and Figure 2As shown, the intelligent coal impurity removal method includes:

[0047] S10: Acquiring impurity concentration change data of impurities in the coal material in a first processing area 1 corresponding to the conveying assembly, wherein the first processing area 1 includes a plurality of sub-areas 11 configured to be separable from each other;

[0048] Specifically, a sensor network is distributed across each sub-region 11 of the first processing region 1. Coal within each sub-region 11 is conveyed via a conveyor belt 3. Coal is generally distributed sequentially along the adjacent order of the sub-regions 11 when the coal is distributed within the sub-regions 11. The first processing region 1 includes sub-regions 11, with multiple sub-regions 11 adjacent to each other. Two adjacent sub-regions 11 are normally connected, but can be separated by partitions or the like if necessary. The sensor network can determine changes in impurity concentration within the sub-regions 11. The first processing region 1 is used for impurity removal. Exemplarily, the impurities include at least one of sulfur, sodium, and chlorine. In some cases, the impurity removal conditions for each sub-region 11 are nearly identical. Examples of processing in the first processing region 1 and the second processing region 2 will be described in the following steps.

[0049] S11: determining whether to separate the first processing area 1 according to the impurity concentration change data and the first transmission data of the coal material by the transmission component;

[0050] Specifically, if the impurity content of the coal in adjacent sub-areas 11 is greatly different after preliminary processing, it is very likely caused by other reasons, which may be caused by uneven particle size of the raw materials or differences in local reaction conditions. Further analysis is required in combination with the first transmitted data. If the particle size difference is still detected and the separation conditions are met, the first processing area 1 is separated. This separation indicates complete separation, which changes from the previous non-separation or semi-separation state to complete separation.

[0051] S12: When the first processing area 1 is determined and separated, based on the impurity concentration change data of the coal in each sub-area 11 and the relative positional relationship between each sub-area 11 and the second processing area 2, determining the time difference at which the first concentration data of the coal impurities in each sub-area 11 reaches a first threshold, and executing a coal addition strategy based on the relative positional relationship to monitor whether the first concentration data of the coal impurities in a single sub-area 11 reaches the first threshold. The coal addition strategy is used to add coal to the sub-area;

[0052] Specifically, predictions and calculations are made based on the impurity concentration change data, and combined with the relative position relationship, the coal material that reaches the first threshold value will be transferred to the second processing area 2 according to the distance from the first material transfer area. The farther away, the later the material will be transferred. In the increased time, coal material can be added to the corresponding sub-area 11 and transferred from the first processing area 1 to the second processing area 2. Different impurity removal schemes can be implemented in the two processing areas, and the same second processing area 2 can be shared to perform different types of impurity removal treatments. After separation, each sub-area 11 can be conveniently processed separately to reduce the concentration of a certain impurity in the sub-area 11 to the first threshold value. The first threshold value is also the lowest or near-lowest empirical concentration for process treatment in the first processing area 1.

[0053] S13: When the first concentration data of a certain sub-area 11 reaches a first threshold value, based on the relative position relationship, the corresponding sub-area 11 is controlled to open and the coal material is transferred to the second processing area 2 for continued impurity removal treatment, and the continued impurity removal treatment includes reducing the first concentration data.

[0054] Specifically, the number of second processing areas 2 is limited, and generally the processing method is relatively more refined and relatively more expensive (facilities and other conditions), or due to site limitations, the second processing area 2 is limited, etc. Based on the set time difference (plus buffer time if necessary), each time the coal in the sub-area 11 is transferred to the second area, in order to ensure that the coal of the next sub-area 11 is transferred in time, the impurity removal time of this sub-sub-area 11 is referenced as the interval time. Under the limitation that the impurity removal time is basically the same (the initial first concentration data are all the first threshold value, this condition is already the same), the main difference is only the total amount of coal, and the focus is on determining the amount of reactants put into the second area for impurity removal based on the total amount of coal, and / or Alternatively, physical reaction parameters (such as heating temperature and pressure) and other processing parameters can be used, which is conducive to simplifying the treatment process. In one example, the treatment processes of the first treatment area 1 and the second treatment area 2 can be at least two of the following: modified water washing-flotation combination and microwave selective heating-dry sorting, low-temperature plasma deep purification, etc. For example, for sodium treatment, a low-temperature pyrolysis method is used (control temperature 280-320°C, NaCl volatilization rate can reach 65-70%), and an ion replacement method: using NH4Cl solution (concentration 5-8%) for washing to replace Na (Na removal efficiency 78-82%); when it comes to the removal of more than two impurities, the main impurity can be removed according to the actual selection.

[0055] When this embodiment is applied, by obtaining the impurity concentration change data of the impurities in the coal material in the first processing area 1 corresponding to the transmission component, it is determined whether to separate the first processing area 1 according to the impurity concentration change data and the first transmission data of the coal material by the transmission component; in the case of determining and separating the first processing area 1, according to the impurity concentration change data of the coal material in each of the sub-areas 11 and the first relative position between each of the sub-areas 11 and the second processing area 2, the time difference when the first concentration data of the coal impurities in each of the sub-areas 11 reaches the first threshold is determined, and the material increase strategy is executed based on the relative position relationship, and the first concentration data of the coal impurities in a single sub-area 11 is monitored to see whether it reaches the first threshold. When the first concentration data of a certain sub-area 11 reaches the first threshold, Based on the relative position relationship, the corresponding sub-area 11 is controlled to open and the coal is transferred to the second processing area 2 for continued impurity removal treatment. The continued impurity removal treatment includes reducing the first concentration data. The coal can be removed from different processing areas. Through the cooperation of the first processing area 1 and the second processing area 2, the impurity removal efficiency is improved, the impurity removal effect is improved, and the processing volume of the coal is increased. The requirements for the second processing area 2 are relatively low. Multiple sub-areas 11 can share the second processing area 2 in succession. On the basis of ensuring the impurity removal efficiency, the processing requirements are reduced to a certain extent, thereby ensuring the quality of coal combustion and reducing pollution. The main improvement of the present invention is to realize impurity removal in combination with the processing of relevant data, reflecting the application of technologies such as sensor detection and intelligent detection to coal impurity removal.

[0056] An example of combining the first treatment area 1 and the second treatment area 2 for treatment is given below.

[0057] 1. Combined removal of sulfur (S)

[0058] Process example: physical coal preparation (heavy medium separation) + chemical oxidation desulfurization;

[0059] Physical step: Heavy medium separation removes pyritic sulfur (FeS2, which has a high density and can be separated by gravity); Chemical step: Organic sulfur is oxidized to soluble sulfate using an oxidant (such as H2O2 / O3) or alkaline solution (NaOH), which is then removed by washing. Advantages: Synergistic effect: The physical method removes inorganic sulfur (60-70%), while the chemical method targets organic sulfur (removal rate can reach over 80%), resulting in a total sulfur removal rate of >90%. Economical: Compared to a single chemical method, it uses less reagents and reduces costs. Environmentally friendly: It avoids SO2 generated by high-temperature pyrolysis, and the oxidation product sulfate can be recycled.

[0060] 2. Combined removal of sodium (Na) and chlorine (Cl)

[0061] Process example: Water washing (physical) + acid washing / ion exchange (chemical); Physical step: Water washing removes water-soluble NaCl, KCl, etc. (removing 50-70% of Cl and some Na); Chemical step: Soluble sodium bound to silicates is dissolved using dilute hydrochloric acid (HCl) or a chelating agent (such as EDTA), or Na ions are adsorbed by ion exchange resin. Advantages: Deep removal: Residual insoluble sodium / chloride after water washing is further removed by chemical methods (Cl removal rate >85%, Na >75%). Reduced wastewater load: The combined process allows for graded wastewater treatment, such as recovering high-concentration salts before treating low-concentration wastewater.

[0062] As a preferred embodiment of the present invention, the step of obtaining the impurity concentration change data of the impurities in the coal material in the first processing area 1 corresponding to the conveying assembly includes:

[0063] Dynamically acquiring impurity concentration monitoring data of a plurality of monitoring points in the first processing area 1, wherein each of the sub-areas 11 is provided with the coal material having an identifier through the conveying assembly;

[0064] Specifically, a sensor network is distributed in each sub-area 11 of the first processing area 1, and the coal in each sub-area 11 is transported by a conveyor belt 3, and the coal transported to each sub-area 11 has a corresponding identifier, which can represent the source of the coal. When the sub-areas 11 are filled, the coal is generally filled in sequence along the adjacent order of the sub-areas 11.

[0065] According to the impurity concentration monitoring data, impurity concentration variation data of the impurities in each of the sub-regions 11 with monitoring time is determined.

[0066] Specifically, the impurity concentrations at multiple monitoring points in each sub-area 11 are recorded by timestamp; the sampling frequency is determined according to the setting, the sampling frequency corresponds to the corresponding sampling time, the impurity concentration change data is equal to the concentration difference between two samples, which corresponds to the corresponding monitoring time; the impurities include sulfur, sodium and chlorine, and the experiment can use X-ray fluorescence spectrometry (XRF) to measure the characteristic fluorescence spectrum to analyze the concentration of elements such as sulfur and chlorine; or neutron activation analysis (PGNAA / PINA) to determine the element content (such as sulfur and chlorine) by detecting characteristic gamma rays, and deploy an online coal quality analyzer (such as a near-infrared analyzer, an X-ray fluorescence analyzer, etc.) in each sub-area 11 to detect the content of at least one impurity among sulfur, sodium and chlorine.

[0067] The above method can detect the impurity content in the coal in the first processing area 1 (each sub-area 11 ) and the second processing area 2 .

[0068] As a preferred embodiment of the present invention, the determining whether to separate the first processing area 1 according to the impurity concentration change data and the first transmission data of the coal material by the transmission component includes:

[0069] performing correlation analysis on the impurity concentration change data and the first transmitted data to determine whether to dynamically separate the first processing area 1, wherein the first transmitted data includes at least one of coal flow rate and particle size content;

[0070] Specifically, if the impurity contents of adjacent sub-regions 11 differ greatly, it is very likely caused by other reasons and needs to be further analyzed in combination with the first transmitted data; for example, it may be uneven particle size, sensor failure, etc.

[0071] If it is determined to dynamically separate the first processing area 1 , the physical separation state of at least two sub-areas 11 is adjusted.

[0072] When it is determined that dynamic separation needs to be performed on the first processing area 1 (such as sub-area 11), the physical separation status of at least two adjacent sub-areas 11 (such as A and B) needs to be adjusted synchronously to ensure the effectiveness of process isolation. In practice, at least two sub-areas 11 are provided, that is, two, or more.

[0073] Exemplarily, the determining whether to dynamically separate the first processing area 1 includes:

[0074] If it is detected based on the impurity concentration change data that the difference in impurity concentration change data at the monitoring points in two adjacent sub-areas 11 during the same period is greater than a first preset difference, it is determined whether the difference in particle size content between the two adjacent sub-areas 11 reaches a second preset difference;

[0075] Specifically, if it is found based on the real-time monitoring data that the difference in the impurity concentration change data of two adjacent sub-areas 11 in the same period exceeds a first preset difference (such as ΔC>C e , where C e is the allowed concentration difference threshold), it is necessary to further determine whether the difference in coal particle size content between the two sub-areas 11 reaches a second preset difference (ΔD≥D e , D e Particle size content refers to the proportion of impurity particles of different sizes in the coal. When the difference in concentration of the same type of impurity exceeds the first preset difference, it indicates that the impurities in the two regions are unevenly distributed. This may be caused by uneven raw material particle size or differences in local reaction conditions. The former requires further verification, while the latter is ruled out.

[0076] If the difference between the particle size contents of two adjacent sub-regions 11 reaches a second preset difference, it is determined to perform a separation operation between the corresponding two adjacent sub-regions 11 .

[0077] Specifically, the separation operation includes: inserting partitions or adjusting airflow: deploying physical partitions between adjacent sub-areas 11 (A and B), or blocking cross-area mixing of raw materials by adjusting dampers / airflow distribution.

[0078] The above uses multi-parameter collaborative decision-making to accurately realize the judgment of separation logic, and after separation, targeted material addition and impurity removal can be carried out.

[0079] It should be noted that if other separation conditions are identified, separation can also be performed, such as when there is a significant uneven distribution of coal quantity or quality. Furthermore, if the difference in particle size content between two adjacent sub-areas 11 does not reach a second predetermined difference, it is highly likely due to a reaction condition failure or sensor failure, such as a temperature / airflow issue or sensor failure. In this case, manual intervention can be performed to adjust reaction conditions such as air volume or heating power, or to activate redundant sensors and schedule maintenance.

[0080] As a preferred embodiment of the present invention, when the first processing area 1 is determined and separated, the time difference at which the first concentration data of the coal impurities in each of the sub-areas 11 reaches a first threshold is determined based on the impurity concentration change data of the coal material in each of the sub-areas 11 and the first relative position between each of the sub-areas 11 and the second processing area 2, and the material increase strategy is executed based on the relative position relationship. Monitoring whether the first concentration data of the coal impurities in a single sub-area 11 reaches the first threshold includes:

[0081] Determine, based on the impurity concentration change data of the coal in each of the sub-regions 11, an estimated time duration for the first concentration data of each of the sub-regions 11 to reach a first threshold value without adding new coal, and determine, based on the estimated time duration and the first relative position between the sub-regions 11, a set time duration for separating the sub-regions 11 according to the equal gradient interval time duration;

[0082] Specifically, based on the impurity concentration change data, prediction and calculation are performed to obtain the estimated time for the first concentration data of each sub-region 11 to reach the first threshold value without adding new coal. The difference between the first concentration data and the first threshold value, and the content change per unit time can be used to obtain the estimated time. Generally, an empirical error coefficient is multiplied to obtain the estimated time.

[0083] For example, the current sulfur concentration (Ccurrent) is 1.2%; the target threshold (Cthreshold) is 0.8%; the real-time monitored sulfur decrease rate (ΔC / Δt) is -0.5% / hour (negative values ​​indicate decreasing concentration); and the estimated duration is calculated as: t = (1.2% - 0.8%) / 0.5% = 0.8 hours. Calculating the estimated duration based on the average rate of change over a short period of time requires ensuring reaction conditions, which is practically feasible. Historical reaction data (coal concentration, total amount, and other parameters) or manual experience can also provide a rough estimate of the duration and are valuable for reference.

[0084] The set duration is increased or remains unchanged based on the estimated duration. Generally, the closer to the second processing area 2, the less time is increased. In order to share the second processing area 2, the subsequent sub-area 11 needs to wait until the previous sub-area 11 is completed in removing impurities before it can transfer materials into the second processing area 2. Therefore, the coal material can be appropriately increased for processing within the increased time, and the impurity removal reaction conditions of the raw materials can be kept unchanged as much as possible.

[0085] The amount of coal to be added to each of the sub-areas 11 is determined based on the set duration, estimated duration, and impurity concentration monitoring data of each of the sub-areas 11 .

[0086] Specifically, a time increment between the set duration and the estimated duration is used to process the additional amount of coal. The impurity concentration monitoring data can reflect the change in impurity concentration under certain conditions. The impurity concentration data can reflect the change in impurity content over time (the impurity content in the coal is known), thereby determining the additional amount of coal. In some embodiments, the added coal has an impurity content comparable to that of the coal in the corresponding sub-region 11.

[0087] Optionally, the determining the amount of coal to be added to each sub-area 11 based on the set duration, estimated duration, and impurity concentration monitoring data of each sub-area 11 includes:

[0088] Determining the change in impurity content per unit time based on the impurity concentration change data of the coal impurities in each of the sub-areas 11;

[0089] Specifically, the change in impurity content per unit time is determined based on the impurity concentration change data of the coal impurities in each of the sub-regions.

[0090] The amount of coal to be added in each sub-area 11 is determined based on the set time of each sub-area 11, the change in impurity content per unit time, the first concentration threshold, impurity concentration monitoring data and the current coal amount.

[0091] Specifically, the above steps are used to calculate:

[0092] 1. Try to calculate the concentration after the reaction and compare:

[0093] C reaction =C now +ΔC unit ×T;

[0094] If C reaction ≤C target , target impurity concentration C target , which is less than or equal to the first concentration threshold, then ΔM=0 (no need to add further);

[0095] Otherwise, proceed to the next step;

[0096] 2. Calculate the amount to be added using the following formula:

[0097]

[0098] In the above two formulas, C reaction Indicates the calculation of impurity concentration; T indicates the set time;

[0099] Δ Cunit Indicates the change in impurity content per unit time;

[0100] Current coal material: quality is Q now , that is, the current amount of coal. The amount of coal in each sub-area 11 can be obtained by the transmission data of the transmission component 1 or by direct weighing in the sub-area 1;

[0101] The impurity concentration is C now， Obtained through impurity concentration monitoring data;

[0102] Add coal: quality is Q add , the impurity concentration is C add , in practice it can be equal to C now ; and generally also need to meet the granularity requirements within the corresponding sub-area 11.

[0103] Target impurity concentration C after adding reaction target , which is less than or equal to the first concentration threshold.

[0104] In another embodiment: through a supervised learning model (such as random forest, XGBoost, neural network) and training data: historical process data (input features + manually labeled additional amount Qadd), output: predicted additional amount, model training uses loss function: mean square error (MSE) or custom cost function (such as excessive addition penalty), optimization goal: maximize the additional amount, during calculation, first perform data preprocessing: standardize numerical features (such as T, ΔCunit), after training the model, input the feature vector of the current sub-region, and output the predicted additional amount Q add .

[0105] The amount of coal to be added to each of the sub-areas 11 can be calculated from the above. When the set duration is longer than the estimated duration, coal can be added to increase the amount of impurities removed.

[0106] As a preferred embodiment of the present invention, determining the set duration of the separated sub-regions 11 according to the estimated duration and the first relative position between the sub-regions 11 according to the equal gradient interval duration includes:

[0107] Select the sub-region 11 that meets the inverse order of the estimated duration as the first sub-region (such as Figure 2 G position), determine the isogradient interval duration based on the difference in the estimated durations, and match the isogradient interval durations to the first relative position between each sub-region 11 and the first sub-region to determine the set duration of the separated sub-region 11, wherein the farther away from the first sub-region, the longer the set time of the corresponding sub-region 11, and the reciprocal ordinal number of the duration indicates that the estimated durations are ranked in a preset reciprocal order from large to small. The set durations of sub-regions 11 that are older and farther away from the first sub-region can form an arithmetic progression.

[0108] Specifically, several sub-regions 11 with the reciprocal estimated duration are selected as the first sub-region, that is, the sub-region 11 corresponding to the shortest or shorter estimated duration is selected as the first sub-region, and the estimated duration is used as a sequence, and combined with the first relative position, the set duration is determined, that is, the farther away from the first sub-region, the longer the set time. For example, in the counterclockwise direction, regions ABC are farther and farther away from sub-region G 11 (the first sub-region), and the estimated durations of the three are 1.5T1, 3T1, and 3.6T1, respectively, with differences of 1.5T1 and 0.6T1, respectively. T1, take the middle integer between the two, determine the equal gradient interval time as T1, then the set time length of the ABC area can be determined as 2T1, 3T1, 4T1; there can also be other methods, the DEF area is farther and farther away from the sub-area 11 of the A position, and the estimated time lengths of the three are 3.5T1, 3T1 and 4.6T1 respectively, and the differences are -0.5T1 and 1.6T1 respectively. Take the middle integer between the two, determine the equal gradient interval time as T1, then the set time length of the DEF area can be determined as 4T1, 5T1, 6T1, and no more examples are given here.

[0109] The above can ensure that the estimated duration is processed to obtain the set duration. The set duration is generally also used as the impurity removal time. If it is greater than the estimated duration, the difference between the two can be used to increase the coal material; the material is transferred according to the distance to the second processing area 2. The farther the distance, the later the transfer time. The coal material can be increased in the increased time. From the first processing area 1 to the second processing area 2, different impurity removal schemes can be implemented in the two processing areas, and in the case of a common second processing area 2, a better processing scheme can be obtained.

[0110] As a preferred embodiment of the present invention, when the first concentration data of a certain sub-area 11 reaches a first threshold, based on the relative position relationship, the corresponding sub-area 11 is controlled to open and the coal is transferred to the second processing area 2 for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

[0111] Locating the sub-region 11 that first reaches the first threshold, and based on the located sub-region 11, transferring the coal material therein to the second processing region 2 for further impurity removal processing;

[0112] Specifically, the sub-area 11 that first reaches the first threshold is determined by the detection equipment in the sub-area 11, and thus "positioning" is performed. The located sub-area 11 can be determined by the reporting information of the detection equipment. The coal material in the sub-area is first transferred to the first processing area 1 for further impurity removal treatment to further reduce the first concentration data. The processing flow of the second processing area 2 is generally different from the processing method of the first processing area 1, and the above description can be referred to.

[0113] According to the isogradient interval duration corresponding to the sub-region 11 and the first relative position between each sub-region 11 and the second region, sequentially determining the transition time and transition path of each sub-region 11 to the second processing region 2;

[0114] Specifically, the transfer of coal can be carried out by gravity unloading and / or mechanical conveying (scraper conveyor, pneumatic conveying, screw conveyor conveying), etc., and the time length is set as the corresponding processing time length of the sub-area 11. Then, according to the equal gradient interval time length, the sub-areas 11 are controlled in order (such as Figure 2By rotating each sub-region 11 so that it is opposite the second processing region 2 (clockwise or counterclockwise), the transfer path is determined. The transfer time is determined by referring to the set duration, which is generally equal to the equal gradient interval after the previous rotation plus a buffer time. This buffer time is the time it takes for the valve to open or the time it takes for the coal to be transferred in. For example, for set durations of 2T1, 3T1, and 4T1, the sub-regions 11 are A, B, and C, respectively, when viewed counterclockwise. The sub-regions 11 form a sector structure of a disk. At the time of transfer, they rotate clockwise to the position corresponding to the second processing region 2 and then transfer the coal.

[0115] Based on the duration of the isogradient interval and the total amount of coal in the sub-area 11 , the processing parameters of the second processing area 2 are determined and executed.

[0116] Specifically, the isogradient interval duration and the total amount are used as references for processing parameters. Each time the coal in the sub-region 11 is transferred to the second region, in order to ensure the timely transfer of the next sub-region 11, the impurity removal time after the sub-region 11 is transferred to the second processing region 2 is at most the interval of the isogradient interval duration. Under the limitation that the impurity removal time is basically the same (buffering time such as material transfer is not considered), there is only a difference in the total amount of coal (the amount of coal impurities is all near the first concentration threshold). The amount of reactants put into the second region for impurity removal is determined based on the total amount of coal (methods that avoid the influence of particle size on the reaction can be selected, such as magnetic separation, chemical or biological desulfurization, electrostatic separation, etc., so that the treatment process is simpler. In fact, if it is separated, the impact is smaller), and / or, physical reaction parameters (such as heating temperature and pressure) and other processing parameters can be used. The reactants can be determined based on actual impurity removal experience. The following is a detailed description:

[0117] 1. Determination of the amount of reactants added: According to the stoichiometric relationship between the impurity content in the coal and the reactants, the total amount should be adjusted proportionally, referring to the formula: m reactant = k*C impurity * m coal, k: stoichiometric coefficient (such as CaO / S = 1.2-1.5 during desulfurization); C impurity: impurity concentration in coal (such as sulfur content %); m coal: total amount of coal. For example, if the total amount of coal A is 10 tons and the sulfur content is 2%, the required CaO amount = 1.3×2%×10t=260kg; if the total amount of coal B is 20 tons (the sulfur content is the same), the CaO amount = 1.3×2%×20t=520kg.

[0118] Dynamic feedback control can be established. If online detection (such as XRF) shows fluctuations in impurity concentration, the dosage can be corrected according to real-time data.

[0119] 2. Adjustment of physical parameters

[0120] Heating temperature / time, thermal dechlorination: when the total amount of coal increases, the temperature needs to be increased or the residence time needs to be extended (if the time is fixed, the temperature is increased), according to the empirical formula: T = T0 + α*Δm, T0: reference temperature (such as 300℃); Δm represents the percentage of the coal amount exceeding the reference; α represents the coefficient (such as 0.5℃ / 10% increment), and T0 is the reference temperature; and for heavy medium separation: when the coal amount increases, the medium circulation flow rate is increased (maintaining the same separation density); in practice, a quantitative relationship model of coal amount-parameters can be established, and the coal amount can be substituted (concentration, time, reaction conditions, etc. as adjustment parameters) to obtain parameters. When the coal amount doubles, the reaction efficiency may decrease nonlinearly (such as uneven heat transfer), and a certain 10-15% safety margin needs to be reserved.

[0121] In extreme cases, the processing area or processing quantity of the second processing area 2 can be increased to meet the processing time of the sub-area 11, so that the waiting time for the next processing sub-area 11 can be controlled.

[0122] The above can improve the impurity removal efficiency by cooperating with the first processing area 1 and the second processing area 2 when the second processing area 2 is limited. The requirements for the second processing area 2 are relatively low, and multiple sub-areas 11 can share the second processing area 2 in succession.

[0123] As a preferred embodiment of the present invention, it also includes:

[0124] If the separation condition is not met, the coal materials in the first processing area 1 are processed uniformly;

[0125] Specifically, when the separation condition is not met, it means that the difference between the same type of impurity concentration monitoring data of the monitoring points in the two adjacent sub-areas 11 is small. Under the same conditions, the difference in impurities in the coal materials between each sub-area 11 is small. At this time, unified processing can be performed in the first processing area 1, which basically does not affect the processing efficiency until the first concentration data reaches the first threshold.

[0126] When the first concentration data of the sub-area 11 that meets the preset quantity ratio reaches the first threshold, the uniformly processed coal material will be transferred from the first processing area 1 to the second processing area 2 according to the preset capacity ratio, and the impurities reaching the first processing area 1 will be further uniformly processed before being transferred.

[0127] Specifically, when the first concentration data of most of the sub-areas 11 reaches the first threshold, it means that the first-stage impurity removal has been basically completed in the first treatment area 1, and the impurities are transferred to the second treatment area 2. Additional impurity treatment can also be carried out in the first treatment area 1, such as reducing the main process load: removing some easy-to-treat impurities (such as soluble salts and large-particle gangue) in advance to avoid overloading the main treatment equipment; oxidant spraying, spraying dilute hydrogen peroxide solution on organic sulfur, oxidizing part of the organic sulfur into soluble sulfate, assisting subsequent desulfurization, etc., and then transferring to the second treatment area 2 for treatment according to the preset capacity ratio; the preset capacity ratio can be 100% or a part, which can be set according to actual needs (including other preset parameters, which can be set according to actual needs). When part of the capacity is transferred, the same process can be carried out simultaneously in the first treatment area 1 and the second treatment area 2; further processing of impurities includes other impurities other than the impurities processed in the first treatment area 1 and the second treatment area 2 under separation conditions, or further processing of these impurities, such as microwave oxidation (processing residual organic sulfur / chlorine), CaO addition (fixing residual chlorine before combustion), etc.

[0128] By further unified treatment of pre-impurities, the burden of the coal sorting process can be realized, which is especially suitable for scenarios with high-impurity coal or strict requirements on product purity. In addition, before being transferred to the first processing area 1, the impurities can be treated indiscriminately, which improves the processing efficiency and simplifies the processing process.

[0129] like Figure 3 As shown, as another preferred embodiment of the present invention, on the other hand, an intelligent briquette impurity removal system, applying the intelligent briquette impurity removal method as described in the above embodiment, comprises:

[0130] An acquisition module 100 is configured to acquire data on a change in impurity concentration of impurities in the coal material in a first processing area 1 corresponding to the conveying assembly, wherein the first processing area 1 includes a plurality of sub-areas 11 configured to be separable from each other;

[0131] a separation processing determination module 200, configured to determine whether to separate the first processing area 1 according to the impurity concentration change data and the first coal material transmission data of the transmission component;

[0132] The separation monitoring module 300 is configured to, when the first processing area 1 is determined and separated, determine the time difference at which the first concentration data of the coal impurities in each of the sub-areas 11 reaches a first threshold value based on the impurity concentration change data of the coal material in each of the sub-areas 11 and the relative positional relationship between each of the sub-areas 11 and the second processing area 2, and execute a feed increase strategy based on the relative positional relationship to monitor whether the first concentration data of the coal impurities in a single sub-area 11 reaches the first threshold value;

[0133] The enhanced processing module 400 is used to control the corresponding sub-area 11 to align with the second processing area 2 based on the relative position relationship when the first concentration data of the sub-area 11 reaches a first threshold, open it, and transfer the coal material into the second processing area 2 for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

[0134] It should be noted that, referring to the specific implementation description of an intelligent coal impurity removal method in the aforementioned embodiment, this system completely corresponds to the implementation method of the method and will not be described again here.

[0135] The above embodiment of the present invention provides an intelligent coal impurity removal method, and based on the intelligent coal impurity removal method, provides an intelligent coal impurity removal system, by obtaining the impurity concentration change data of impurities in the coal material in the first processing area 1 corresponding to the conveying component, and determining whether to separate the first processing area 1 according to the impurity concentration change data and the first transmission data of the coal material by the conveying component; in the case of determining and separating the first processing area 1, according to the impurity concentration change data of the coal material in each of the sub-areas 11 and the first relative position between each of the sub-areas 11 and the second processing area 2, determining the time difference when the first concentration data of the coal impurities in each of the sub-areas 11 reaches the first threshold value, and executing the material increase strategy based on the relative position relationship, monitoring the individual sub-areas 11. Whether the first concentration data of coal impurities in area 11 reaches the first threshold value, when the first concentration data of a certain sub-area 11 reaches the first threshold value, based on the relative position relationship, the corresponding sub-area 11 is controlled to open and the coal material is transferred to the second processing area 2 for continued impurity removal treatment. The continued impurity removal treatment includes reducing the first concentration data. The coal material can be removed from different processing areas. Through the cooperation of the first processing area 1 and the second processing area 2, the impurity removal efficiency is improved, the impurity removal effect is improved, and the processing volume of the coal material is increased. The requirements for the second processing area 2 are relatively low. Multiple sub-areas 11 can share the second processing area 2 in succession. On the basis of ensuring the impurity removal efficiency, the processing requirements are reduced to a certain extent, thereby ensuring the quality of coal combustion and reducing pollution.

[0136] In order to enable the above-mentioned method and system to be loaded and run smoothly, in addition to the various modules mentioned above, the system may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0137] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the system, connecting various components using various interfaces and lines.

[0138] The above-mentioned memory can be used to store intelligent impurity removal and system programs and / or modules. The above-mentioned processor realizes the above-mentioned various functions by running or executing the intelligent impurity removal programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as an information collection template display function, a product information release function, etc.). The data storage area can store data created according to the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that different product providers need to release, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0139] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0140] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for removing impurities from intelligent coal briquette, characterized in that: include: Acquiring impurity concentration change data of impurities in the coal material in a first processing area corresponding to the conveying assembly, wherein the first processing area includes a plurality of sub-areas configured to be separable from each other; determining whether to separate the first processing area according to the impurity concentration change data and the first coal material transmission data of the transmission component; In the case where the first processing area is determined and separated, based on the impurity concentration change data of the coal in each sub-area and the relative positional relationship between each sub-area and the second processing area, the time difference at which the first concentration data of the coal impurities in each sub-area reaches a first threshold is determined, and a material addition strategy is executed based on the relative positional relationship to monitor whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold. The material addition strategy is used to add coal to the sub-area; When the first concentration data of the sub-area reaches a first threshold, based on the relative position relationship, the corresponding sub-area is controlled to align with the second processing area and then open and the coal material is transferred to the second processing area for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

2. The intelligent coal impurity removal method according to claim 1, characterized in that: The obtaining of the impurity concentration change data of the impurities in the coal material in the first processing area corresponding to the conveying component includes: Dynamically acquiring impurity concentration monitoring data at a plurality of monitoring points within the first processing area, wherein the coal material having an identifier is provided in each of the sub-areas via the conveying assembly; According to the impurity concentration monitoring data, impurity concentration change data of the impurities in each of the sub-regions with monitoring time is determined.

3. The intelligent coal impurity removal method according to claim 2, characterized in that: The determining whether to separate the first processing area according to the impurity concentration change data and the first coal material transmission data of the transmission component includes: performing correlation analysis on the impurity concentration change data and the first transmitted data to determine whether to separate the first processing area, wherein the first transmitted data includes at least one of coal flow rate and particle size content; If it is determined to separate the first processing area, the physical separation state of at least two sub-areas is adjusted accordingly.

4. The intelligent coal impurity removal method according to claim 3, characterized in that: The determining whether to separate the first processing area includes: If it is detected based on the impurity concentration change data that the difference in impurity concentration change data at the monitoring points in two adjacent sub-areas in the same period is greater than a first preset difference, determining whether the difference in particle size content between the two adjacent sub-areas reaches a second preset difference; If the difference in particle size content between two adjacent sub-regions reaches a second preset difference, it is determined to perform a separation operation between the corresponding two adjacent sub-regions.

5. The intelligent coal impurity removal method according to claim 2, characterized in that: In the case where the first processing area is determined and separated, determining, based on the impurity concentration change data of the coal material in each of the sub-areas and the relative positional relationship between each of the sub-areas and the second processing area, a time difference at which the first concentration data of the coal impurities in each of the sub-areas reaches a first threshold, and executing a material increase strategy based on the relative positional relationship, monitoring whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold includes: Determine, based on the impurity concentration change data of the coal in each of the sub-regions, an estimated time duration for the first concentration data of each of the sub-regions to reach a first threshold value without adding new coal, and determine, based on the estimated time duration and the first relative position between the sub-regions, a set time duration for the separated sub-regions according to the equal gradient interval time duration; The amount of coal to be added to each of the sub-areas is determined based on the set duration, estimated duration, and impurity concentration monitoring data of each of the sub-areas.

6. The intelligent coal impurity removal method according to claim 5, characterized in that: Determining the set duration of the separated sub-regions according to the estimated duration and the first relative position between the sub-regions according to the equal gradient interval duration includes: The sub-region corresponding to the inverse ordinal number of the estimated duration is selected as the first sub-region, the equal gradient interval duration is determined according to the difference of the estimated duration, and the equal gradient interval duration is matched with the first relative position between each sub-region and the first sub-region to determine the set duration of the separated sub-region, wherein the farther away from the first sub-region, the longer the set time of the corresponding sub-region, and the inverse ordinal number of the duration indicates that the estimated duration is ranked in a preset inverse order from large to small.

7. The intelligent coal impurity removal method according to claim 5, characterized in that: The determining of the amount of coal to be added to each sub-region based on the set duration, estimated duration, and impurity concentration monitoring data of each sub-region includes: Determining the amount of change in impurity content per unit time based on the impurity concentration change data of the coal impurities in each of the sub-regions; The amount of coal to be added in each of the sub-areas is determined according to the set time of each sub-area, the change in impurity content per unit time, the first concentration threshold, impurity concentration monitoring data and the current coal amount.

8. The intelligent coal impurity removal method according to claim 6, characterized in that: When the first concentration data of the sub-area reaches a first threshold, based on the relative position relationship, controlling the corresponding sub-area to align with the second processing area, opening the sub-area, and transferring the coal into the second processing area for continued impurity removal processing, wherein the continued impurity removal processing includes reducing the first concentration data. Locating the sub-region that first reaches the first threshold, and based on the located sub-region, transferring the coal in the sub-region to a second processing region for further impurity removal; According to the isogradient interval duration corresponding to the sub-region and the first relative position between each sub-region and the second region, sequentially determining the transition time and transition path of each sub-region into the second processing region; Based on the duration of the isogradient interval and the total amount of coal in the sub-area, the processing parameters of the second processing area are determined and executed.

9. The intelligent coal impurity removal method according to claim 3, characterized in that: Also includes: If the separation condition is not met, the coal in the first processing area is processed uniformly; When the first concentration data of the sub-area that meets the preset quantity ratio reaches the first threshold, the uniformly processed coal material will be transferred from the first processing area to the second processing area according to the preset capacity ratio, and the impurities reaching the first processing area will be further uniformly processed before being transferred.

10. An intelligent coal impurity removal system, characterized in that: The method for removing impurities from the intelligent briquette according to any one of claims 1 to 9 comprises: an acquisition module, configured to acquire impurity concentration change data of impurities in the coal material in a first processing area corresponding to the conveying assembly, wherein the first processing area includes a plurality of sub-areas configured to be separable from each other; a separation processing determination module, configured to determine whether to separate the first processing area according to the impurity concentration change data and the first transmission data of the coal material by the transmission component; a separation monitoring module for, when determining and separating the first processing area, determining, based on the impurity concentration change data of the coal in each sub-area and the relative positional relationship between each sub-area and the second processing area, a time difference at which the first concentration data of the coal impurities in each sub-area reaches a first threshold, and executing a material addition strategy based on the relative positional relationship to monitor whether the first concentration data of the coal impurities in a single sub-area reaches the first threshold, wherein the material addition strategy is for adding coal to the sub-area; The enhanced processing module is used to control the corresponding sub-area to align with the second processing area based on the relative position relationship when the first concentration data of the sub-area reaches a first threshold, open it, and transfer the coal material to the second processing area for continued impurity removal processing, and the continued impurity removal processing includes reducing the first concentration data.

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