Environmentally friendly slag treatment control method and device

Abstract

The present invention provides an environmentally friendly slag treatment control method and device, relating to the field of slag treatment technology. The method comprises: adjusting the magnetic field strength and frequency of a magnetic separator in real time based on the magnetism and flow rate of the slag particles to remove ferromagnetic materials from the slag particles; modeling and optimizing the flotation process to automatically adjust the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters by predicting the formation and collapse of flotation foam to remove non-ferrous metals and rare metals; calcining the slag particles after flotation at high temperature to decompose and solidify harmful substances; and cooling, crushing, and screening the calcined slag particles to obtain recycled aggregate of varying particle sizes. This invention improves slag treatment efficiency and the quality of recycled aggregate, while reducing processing costs and environmental impact.

Description

Technical Field

[0001] The present invention relates to the technical field of slag treatment, and in particular to an environmentally friendly slag treatment control method and device. Background Art

[0002] Slag is a solid waste generated during industrial production processes such as metallurgy, electricity, and chemicals. Because it contains a large amount of harmful substances and useful components, direct discharge without treatment can cause serious harm to the environment and human health.

[0003] Currently, slag treatment methods mainly include physical treatment, chemical treatment, and comprehensive utilization. Physical treatment primarily involves pre-treating the slag through processes such as crushing, screening, and magnetic separation to remove large pieces and harmful components; chemical treatment involves extracting valuable metals from the slag through processes such as flotation and leaching; and comprehensive utilization involves reusing the treated slag, such as as a building material or roadbed material.

[0004] However, existing slag treatment methods still have some problems and shortcomings. For example, the parameter settings of crushing and screening equipment in physical treatment methods often rely on operator experience, making automated and intelligent control difficult to achieve. The control accuracy and efficiency of the flotation process in chemical treatment methods are limited by the accuracy of model prediction and control algorithms. In comprehensive utilization methods, the particle size and mass distribution of recycled aggregates are uneven, affecting the effectiveness and scope of their reuse. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide an environmentally friendly slag treatment control method and device. By automatically adjusting crushing and screening parameters, adjusting the magnetic field strength and frequency of the magnetic separator in real time, optimizing flotation process parameters and other control measures, intelligent control and automated management of the slag treatment process are achieved, the decomposition and solidification of harmful substances are achieved, and recycled aggregates of different particle sizes are obtained at the same time, thereby improving the slag treatment efficiency and the quality of the recycled aggregates, and reducing the treatment cost and the impact on the environment.

[0006] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0007] In a first aspect, an environmentally friendly slag treatment control method is provided, the method comprising:

[0008] By analyzing the physical properties of the slag and the performance data of the crushing equipment, the crushing and screening parameters are automatically adjusted to crush and screen the slag to obtain slag particles of different particle sizes;

[0009] According to the magnetism and flow rate changes of the slag particles, the magnetic field strength and frequency of the magnetic separator are adjusted in real time to remove ferromagnetic substances from the slag particles;

[0010] Modeling and optimizing the flotation process to automatically adjust the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters to remove non-ferrous and rare metals by predicting the formation and collapse of flotation foam.

[0011] The slag particles after flotation are calcined at high temperature to decompose and solidify the harmful substances;

[0012] The calcined slag particles are cooled, crushed and sieved to obtain recycled aggregates of different particle sizes.

[0013] Furthermore, by analyzing the physical properties of the slag and the performance data of the crushing equipment, the crushing and screening parameters are automatically adjusted, including:

[0014] Obtain physical property data from slag by Process the slag physical property data to obtain the output signal y n , where x n is the original input data, a2, b1, b2 are the coefficients of the filter, and n is the time index, indicating the moment of data acquisition;

[0015] Extract relevant characteristic parameters from the physical property data of slag and the performance data of crushing equipment;

[0016] Develop a mathematical model based on the relationship between the physical properties of the slag, the performance of the crushing equipment, and the crushing and screening parameters;

[0017] According to the mathematical model, the final parameter values ​​are obtained by solving.

[0018] Furthermore, according to the mathematical model, solving to obtain the final parameter value includes:

[0019] Obtain data on the physical properties of slag;

[0020] According to the data of slag physical properties, a mathematical model of slag physical properties is established;

[0021] Construct the objective function based on the mathematical model of slag physical properties and actual application requirements;

[0022] The fitness value of each particle is calculated based on the objective function and constraints, where each particle retains its corresponding final position and the final position of the group.

[0023] Furthermore, the fitness value of each particle is calculated based on the objective function and constraints, including:

[0024] pass Calculate the comprehensive fitness value of the particle, where f2(x),…,f n (x) represents each objective function in the mathematical model; w1,…,w n Represents the weight coefficient of each objective function, g i (x) represents the constraint function in the mathematical model, λ i represents the penalty coefficient of the constraint, x represents the position of the particle in the search space, and n is the index.

[0025] Furthermore, the magnetic field strength and frequency of the magnetic separator are adjusted in real time according to the magnetic properties and flow rate changes of the slag particles, including:

[0026] Real-time monitoring of the magnetic properties of slag particles and flow changes of slag particles;

[0027] Process the magnetic characteristics and flow changes and generate corresponding control signals;

[0028] According to the magnetic data of the monitored slag particles, the magnetic field strength of the magnetic separator is adjusted in real time;

[0029] The magnetic field frequency of the magnetic separator is adjusted in real time according to the monitored slag particle flow data.

[0030] Furthermore, the flotation process is modeled and optimized. By predicting the formation and collapse of flotation foam, the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters are automatically adjusted, including:

[0031] Acquire historical data of the flotation process, and clean and preprocess the historical data to obtain preprocessed data;

[0032] Based on the preprocessed data, a data model is established using a neural network;

[0033] According to the data model, the aeration volume, liquid flow rate and stirring speed of the flotation machine are automatically adjusted.

[0034] Furthermore, the slag particles after flotation are subjected to high-temperature calcination to decompose and solidify the harmful substances, including:

[0035] drying the slag particles that have undergone flotation treatment, and screening the dried slag particles;

[0036] Preheat the calcining equipment and set the calcining temperature and calcining time parameters according to the composition and properties of the slag;

[0037] Under the set calcination parameters, the high-temperature calcination process is started. During the calcination process, the equipment is kept running stably and the temperature parameters are monitored in real time. When the set calcination time is reached, the heating is stopped and the equipment is gradually cooled.

[0038] In a second aspect, an environmentally friendly slag treatment control device comprises:

[0039] The acquisition module is used to automatically adjust the crushing and screening parameters by analyzing the physical properties of the slag and the performance data of the crushing equipment, so as to crush and screen the slag to obtain slag particles of different particle sizes; according to the magnetic properties of the slag particles and the flow rate changes, the magnetic field strength and frequency of the magnetic separator are adjusted in real time to remove ferromagnetic materials in the slag particles;

[0040] The processing module is used to model and optimize the flotation process. By predicting the formation and collapse of flotation foam, it automatically adjusts the flotation machine's inflation volume, liquid flow rate, and stirring speed parameters to remove non-ferrous metals and rare metals. The slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances. The calcined slag particles are then cooled, crushed, and screened to obtain recycled aggregates of different particle sizes.

[0041] According to a third aspect, a computing device includes:

[0042] one or more processors;

[0043] The storage device is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the above method.

[0044] In a fourth aspect, a computer-readable storage medium stores a program, which implements the above method when executed by a processor.

[0045] The above solution of the present invention includes at least the following beneficial effects:

[0046] The above-mentioned solution of the present invention realizes intelligent control and automated management of the slag treatment process through control measures such as automatic adjustment of crushing and screening parameters, real-time adjustment of the magnetic field strength and frequency of the magnetic separator, and optimization of flotation process parameters, thereby achieving decomposition and solidification of harmful substances, and obtaining recycled aggregates of different particle sizes, thereby improving the slag treatment efficiency and the quality of the recycled aggregates, and reducing treatment costs and environmental impacts. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of an environmentally friendly slag treatment control method provided by an embodiment of the present invention.

[0048] Figure 2 It is a schematic diagram of an environmentally friendly slag treatment control device provided by an embodiment of the present invention.

[0049] Figure 3 It is a schematic diagram of the treatment process of the environmentally friendly slag treatment device provided by an embodiment of the present invention.

[0050] Figure 4 It is a schematic diagram of the incoming power supply control circuit of the power cabinet of the environmentally friendly slag treatment device provided by an embodiment of the present invention.

[0051] Figure 5 It is a schematic diagram of a circuit breaker control loop of an incoming power supply control circuit of a power cabinet of an environmentally friendly slag treatment device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following describes exemplary embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0053] like Figure 1 As shown, an embodiment of the present invention provides an environmentally friendly slag treatment control method, the method comprising:

[0054] Step 11, by analyzing the physical properties of the slag and the performance data of the crushing equipment, automatically adjusting the crushing and screening parameters to crush and screen the slag to obtain slag particles of different particle sizes;

[0055] Step 12: adjusting the magnetic field strength and frequency of the magnetic separator in real time according to the magnetism and flow rate changes of the slag particles to remove ferromagnetic substances in the slag particles;

[0056] Step 13: Modeling and optimizing the flotation process. By predicting the formation and collapse of flotation bubbles, the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters are automatically adjusted to remove non-ferrous and rare metals.

[0057] Step 14, calcining the slag particles after flotation at high temperature to decompose and solidify the harmful substances;

[0058] Step 15: Cooling, crushing and screening the calcined slag particles to obtain recycled aggregates of different particle sizes.

[0059] In an embodiment of the present invention, by analyzing the physical properties of the slag and the performance data of the crushing equipment, the crushing and screening parameters are automatically adjusted, enabling more efficient crushing and screening of the slag to produce slag particles of varying sizes. This not only saves manpower but also improves processing efficiency. The magnetic field strength and frequency of the magnetic separator can be adjusted in real time based on the magnetism and flow rate of the slag particles, thereby more effectively removing ferromagnetic materials from the slag particles. This improves separation efficiency and enables more thorough removal of ferromagnetic materials. By modeling and optimizing the flotation process and automatically adjusting the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters, the formation and collapse of flotation foam can be more accurately predicted and controlled, leading to more efficient removal of non-ferrous and rare metals. This not only improves metal recovery but also reduces processing costs. High-temperature calcination decomposes and solidifies harmful substances, reducing their activity and toxicity, thereby reducing environmental pollution. The slag particles after flotation are subjected to high-temperature calcination, cooling, crushing, and screening to produce recycled aggregate of varying particle sizes, enabling resource utilization of the slag. The recycled aggregate can be used to manufacture building materials, roadbed materials, and other materials, thereby conserving natural resources and reducing production costs. Automated control of slag processing is achieved by automatically adjusting the parameters of crushing, screening, magnetic separation, and flotation, reducing operational complexity and the impact of human factors on treatment effectiveness. The method can be adjusted and optimized based on the physical properties and chemical composition of slag from different sources and types, offering strong adaptability and making it widely applicable to the treatment and utilization of various industrial slags.

[0060] In a preferred embodiment of the present invention, the crushing and screening parameters are automatically adjusted by analyzing the physical properties of the slag and the performance data of the crushing equipment, including:

[0061] Obtain physical property data from slag by Process the slag physical property data to obtain the output signal y n , where x n is the original input data, a2, b1, b2 are the coefficients of the filter, and n is the time index, indicating the moment of data acquisition;

[0062] Extract relevant characteristic parameters from the physical property data of slag and the performance data of crushing equipment;

[0063] Develop a mathematical model based on the relationship between the physical properties of the slag, the performance of the crushing equipment, and the crushing and screening parameters;

[0064] According to the mathematical model, the final parameter values ​​are obtained by solving.

[0065] In embodiments of the present invention, by analyzing the physical properties of slag, such as density, hardness, and viscosity, a more accurate understanding of the slag's composition and properties can be achieved. Simultaneously, combined with crushing equipment performance data, such as crushing force and screen aperture, the equipment can be ensured to operate optimally, resulting in ideal crushing and screening results. By processing the slag's physical property data and optimizing it using filters, noise and interference in the data can be reduced, resulting in a more accurate output signal, smoothing the crushing and screening process and improving overall processing efficiency. This system can adapt to slags of varying sources and properties. By analyzing the physical property data, changes in the slag's composition can be determined, allowing for timely adjustment of crushing and screening parameters to ensure optimal processing results. From data collection and processing to automatic parameter adjustment, the entire process is highly automated. This not only reduces labor costs but also reduces the likelihood of human error. Precise control of the crushing and screening processes ensures that the output slag particles meet specific particle size requirements, thereby improving the effectiveness of subsequent processing or utilization.

[0066] In another preferred embodiment of the present invention, relevant characteristic parameters are extracted from the physical property data of the slag and the performance data of the crushing equipment, including:

[0067] From the original data of slag physical properties and crushing equipment performance Calculate the weighted average particle size of the slag, where is the weighted average particle size, D i is a single particle size measurement, w i is the corresponding weight, and n is the number of measurements. The extracted features are transformed and the dimension of the features is reduced using principal component analysis to better reflect the complexity of the crushing process; The mutual dependence between features is measured, where MI(x,y) represents the mutual information between features x and y, p(x,y) is the joint probability distribution of x and y, and p(x) and p(y) are the marginal probability distributions of x and y, respectively. This enables a more comprehensive and in-depth analysis of the data, and thus more effectively extracts relevant feature parameters from the physical property data of the slag and the performance data of the crushing equipment.

[0068] In another preferred embodiment of the present invention, relevant characteristic parameters are extracted from the physical property data of the slag and the performance data of the crushing equipment, including:

[0069] Set the density ρ, particle size distribution D(x), hardness H and humidity W of the slag; establish the correlation function f(ρ, D(x), H, W) between the density ρ, particle size distribution D(x), hardness H and humidity W of the slag and the crushing difficulty;

[0070] Define the crushing capacity C, basic power consumption E0 and additional power consumption coefficient k of the crusher per unit processing capacity; establish the relationship between crushing efficiency η and crushing capacity C, basic power consumption E0 and additional power consumption coefficient k per unit processing capacity, where η = g(C, E0, k); the crushing process involves input particle size D in , output granularity D out , processing volume Q; establish the relationship between the efficiency of the crushing process and the above parameters, η process =h(D in , D out , Q); according to the input granularity D in , output granularity D out and processing volume Q, establish a comprehensive model, and calculate the total efficiency η of the entire crushing process based on the comprehensive model total ,

[0071] In a preferred embodiment of the present invention, solving the mathematical model to obtain the final parameter value includes:

[0072] Obtain data on the physical properties of slag;

[0073] According to the data of slag physical properties, a mathematical model of slag physical properties is established;

[0074] Construct the objective function based on the mathematical model of slag physical properties and actual application requirements;

[0075] The fitness value of each particle is calculated based on the objective function and constraints, where each particle retains its corresponding final position and the final position of the group.

[0076] In an embodiment of the present invention, the collected data is used to establish a mathematical model of the physical properties of the slag; according to actual application requirements, the target to be optimized is determined, and the objective function and constraints are used to calculate the fitness value of each particle. The particle represents a point in the parameter space, and the fitness value reflects the degree of excellence of this point with respect to the objective function; the particle swarm optimization algorithm updates the position of the particles through continuous iteration so that it gradually approaches the optimal solution. In each iteration, the position of each particle is updated according to the calculated fitness value, and the final position of the group is retained; through the particle swarm optimization algorithm, a parameter combination that optimizes the objective function can be found to achieve the optimization of the physical properties of the slag. The particle swarm optimization algorithm usually has a faster convergence speed and can find a result close to the optimal solution in a relatively short time. Since the particle swarm optimization algorithm has the characteristics of global search and local search, it can adapt to the optimization needs of different problems.

[0077] In another preferred embodiment of the present invention, a mathematical model of the physical properties of the slag is established based on the data of the physical properties of the slag, including:

[0078] Obtaining a physical property vector P of the slag, where P = [ρ, D, H, W], where ρ is density, D is particle size distribution, H is hardness, and W is moisture;

[0079] pass represents the distribution of particle size, where μD is the average particle size, σ D is the standard deviation; the physical properties of the slag change with the temperature T, through the temperature influence coefficient α T Adjust the physical parameters, where P T =α T (T)×P,P T is the adjusted physical parameter, α T is a function of the temperature influence coefficient.

[0080] In another preferred embodiment of the present invention, a mathematical model of the physical properties of the slag is established based on the data of the physical properties of the slag, including:

[0081] The goal is to maximize the slag treatment efficiency E while minimizing the energy consumption (C energy ), processing cost (C process ), and according to the environmental impact (I env ), the objective function is Where S represents the system parameters; ω E , and are the weight coefficients of each component, among which the processing efficiency function Among them, η(S) is the equipment efficiency, which is related to the system parameter S; the environmental impact function Among them, CO2 represents carbon dioxide emissions, P pollutants Indicates the emission of other pollutants, δ C and δ P is the adjustment coefficient; minimize the energy consumption function C energy (P,S)=β T T(P,S)+β P f P (P,S)+β W W(S), processing cost function C process (P,S)=γ D D cost (S)+γ M M cost (P,S)+γ W W maintenance (S), where W(S) and Wmaintenance (S) represent the costs associated with work intensity and equipment maintenance, respectively, where α Q is the adjustment coefficient; Q(P,S) refers to the amount of slag processed per unit time under given slag physical properties P and system parameters S; T(P,S) refers to the time required to complete a specific amount of processing under given slag physical properties P and system parameters S; β T The energy consumption adjustment coefficient related to the processing time T represents the proportion of time cost in the total energy consumption; β P The energy consumption adjustment coefficient related to the physical properties of slag indicates the degree of influence of physical properties on energy consumption; f P (P,S) Energy consumption function of slag physical properties, representing the physical properties f P and the specific impact of system parameters S on energy consumption; β W represents the energy consumption adjustment coefficient related to work intensity; W(S) represents the energy consumption related to work intensity, reflecting the impact of system parameter S on energy consumption; γ D Indicates the adjustment coefficient of equipment depreciation cost; D cost (S) represents the equipment depreciation cost, which is related to the system parameter S; γ M Indicates the adjustment coefficient of raw material cost; M cost (P, S) represents the raw material cost, which is related to the slag physical properties P and system parameters S; γ W Indicates the adjustment coefficient of maintenance cost.

[0082] In a preferred embodiment of the present invention, the fitness value of each particle is calculated according to the objective function and the constraint conditions, including:

[0083] pass Calculate the comprehensive fitness value of the particle, where f2(x),…,f n (x) represents each objective function in the mathematical model; w1,…,w n Represents the weight coefficient of each objective function, g i (x) represents the constraint function in the mathematical model, λ i represents the penalty coefficient of the constraint, x represents the position of the particle in the search space, and n is the index.

[0084] In an embodiment of the present invention, the positions of the particles are adjusted to minimize or maximize the fitness value, thereby finding the optimal solution that meets the objectives and constraints. Through continuous iterative optimization, the performance of the particle swarm can be gradually improved to better meet the requirements of the problem.

[0085] In a preferred embodiment of the present invention, the magnetic field strength and frequency of the magnetic separator are adjusted in real time according to the magnetism and flow rate changes of the slag particles, including:

[0086] Real-time monitoring of the magnetic properties of slag particles and the flow rate changes of slag particles, specifically including real-time monitoring of the magnetic properties M and flow rate F of slag particles, where M(t) = ∫ Δt m(t)dt,F(t)=∫ Δt f(t)dt, where m(t) and f(t) represent the instantaneous measured values ​​of magnetic properties and flow rate at time t, respectively, and Δt represents the measurement time window;

[0087] The magnetic characteristics and flow rate changes are processed and corresponding control signals are generated, specifically including processing the magnetic characteristics and flow rate changes and generating control signals (C M and C F ),in, Among them, κ M and κ F is the conversion factor, which converts the rate of change of magnetic characteristics and flow rate into a control signal;

[0088] According to the magnetic data of the monitored slag particles, the magnetic field strength of the magnetic separator is adjusted in real time, specifically including: adjusting the magnetic field strength H of the magnetic separator in real time according to the magnetic data of the slag particles, wherein H(t)=H0+η H ×C M (t), where H0 is the basic magnetic field strength, η H is the adjustment coefficient, which is used to convert the control signal into magnetic field strength adjustment;

[0089] According to the flow data of the monitored slag particles, the magnetic field frequency of the magnetic separator is adjusted in real time, specifically including: adjusting the magnetic field frequency ω of the magnetic separator in real time according to the flow data of the slag particles, wherein ω(t)=ω0+η ω ×C F (t), where ω0 is the fundamental magnetic field frequency, η ω is the adjustment coefficient, which is used to convert the control signal into magnetic field frequency adjustment, where C M (t) and C F (t) represents the control signal based on the magnetic field and the flow rate change rate; H(t) and ω(t) represent the magnetic field strength and frequency at time s, respectively.

[0090] In an embodiment of the present invention, real-time monitoring and adjustment are performed to ensure that the operating parameters of the magnetic separator can respond quickly and accurately to changes in the slag; by adjusting according to the actual magnetic properties and flow rate of the slag particles, the separation efficiency of the magnetic separator can be maximized and resource waste can be reduced; the operating parameters can be automatically adjusted according to changes in the slag under different conditions, adapting to various production scenarios and improving the stability and reliability of the system.

[0091] In a preferred embodiment of the present invention, the flotation process is modeled and optimized, and the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters are automatically adjusted by predicting the formation and collapse of flotation foam, including:

[0092] Acquire historical data of the flotation process, and clean and preprocess the historical data to obtain preprocessed data;

[0093] Based on the preprocessed data, a data model is established using a neural network, specifically including determining the network architecture NN arch , define the loss function The preprocessed features (X features ) input network, predict adjustment parameters (Y pred );

[0094] According to the data model, the aeration volume, liquid flow rate and stirring speed of the flotation machine are automatically adjusted, specifically including: pred ), optimize the inflation volume (V air ), liquid flow rate (F reagent ) and stirring speed (S stir ); adjust the model input according to the results of real-time measurement to form a closed-loop control system; use evaluation indicators such as the difference in recovery rate before and after adjustment (ΔR recovery ) to evaluate the effect of the adjustment.

[0095] In an embodiment of the present invention, by predicting and adjusting parameters in real time, the flotation machine can maintain an optimal operating state under different operating conditions, thereby improving flotation efficiency. By precisely adjusting parameters such as the aeration volume, liquid flow rate, and stirring speed, energy consumption can be reduced, achieving a more economical flotation process. The automatic adjustment system can reduce dependence on operators, improve the level of process automation, and reduce operational risks.

[0096] In a preferred embodiment of the present invention, the slag particles after flotation are subjected to high temperature calcination to decompose and solidify the harmful substances, including:

[0097] drying the slag particles that have undergone flotation treatment, and screening the dried slag particles;

[0098] Preheat the calcining equipment and set the calcining temperature and calcining time parameters according to the composition and properties of the slag;

[0099] Under the set calcination parameters, the high-temperature calcination process is started. During the calcination process, the equipment is kept running stably and the temperature parameters are monitored in real time. When the set calcination time is reached, the heating is stopped and the equipment is gradually cooled.

[0100] In an embodiment of the present invention, a drying process is performed to ensure that the slag particles are in a suitable calcination state. The dried slag particles are screened to remove unnecessary impurities and improve the calcination effect. The calcination equipment is preheated according to the specific slag composition and properties to ensure that the equipment is at a suitable operating temperature. The calcination temperature and calcination time parameters are set according to the composition and properties of the slag to achieve effective decomposition and solidification. Under the set calcination parameters, a high-temperature calcination process is started. During the calcination process, the equipment is kept running stably to ensure that the slag particles are fully processed in a high-temperature environment. The temperature parameters are monitored in real time to ensure that the calcination process is carried out within a safe range. When the set calcination time is reached, the heating process is stopped to ensure that the slag particles are fully calcined. The equipment is gradually cooled so that the processed slag particles can be safely unloaded. High-temperature calcination can decompose and solidify harmful substances in the slag, reducing the risk of environmental pollution. The calcination process helps to improve the resource utilization of the slag and convert it into useful products. Real-time monitoring and automatic adjustment of parameters help to maintain the stability and consistency of the calcination process and improve production efficiency.

[0101] like Figure 2 As shown, an embodiment of the present invention further provides an environmentally friendly slag treatment control device 20, comprising:

[0102] The acquisition module 21 is used to automatically adjust the crushing and screening parameters by analyzing the physical properties of the slag and the performance data of the crushing equipment, so as to crush and screen the slag to obtain slag particles of different particle sizes; and to adjust the magnetic field strength and frequency of the magnetic separator in real time according to the magnetic properties and flow rate changes of the slag particles to remove ferromagnetic substances in the slag particles;

[0103] The processing module 22 is used to model and optimize the flotation process. By predicting the formation and collapse of flotation bubbles, the flotation machine's inflation volume, liquid flow rate, and stirring speed parameters are automatically adjusted to remove non-ferrous metals and rare metals. The slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances. The calcined slag particles are cooled, crushed, and screened to obtain recycled aggregates of different particle sizes.

[0104] Optionally, by analyzing the physical characteristics of the slag and the performance data of the crushing equipment, the crushing and screening parameters can be automatically adjusted, including:

[0105] Obtain physical property data from slag by Process the slag physical property data to obtain the output signal y n , where x n is the original input data, a2, b1, b2 are the coefficients of the filter, and n is the time index, indicating the moment of data acquisition;

[0106] Extract relevant characteristic parameters from the physical property data of slag and the performance data of crushing equipment;

[0107] Develop a mathematical model based on the relationship between the physical properties of the slag, the performance of the crushing equipment, and the crushing and screening parameters;

[0108] According to the mathematical model, the final parameter values ​​are obtained by solving.

[0109] Optionally, solving the mathematical model to obtain final parameter values ​​includes:

[0110] Obtain data on the physical properties of slag;

[0111] According to the data of slag physical properties, a mathematical model of slag physical properties is established;

[0112] Construct the objective function based on the mathematical model of slag physical properties and actual application requirements;

[0113] The fitness value of each particle is calculated based on the objective function and constraints, where each particle retains its corresponding final position and the final position of the group.

[0114] Optionally, calculate the fitness value of each particle based on the objective function and constraints, including:

[0115] pass Calculate the comprehensive fitness value of the particle, where f2(x),…,f n (x) represents each objective function in the mathematical model; w1,…,w n Represents the weight coefficient of each objective function, g i (x) represents the constraint function in the mathematical model, λ i represents the penalty coefficient of the constraint, x represents the position of the particle in the search space, and n is the index.

[0116] Optionally, the magnetic field strength and frequency of the magnetic separator can be adjusted in real time according to the magnetic properties of the slag particles and the flow rate changes, including:

[0117] Real-time monitoring of the magnetic properties of slag particles and flow changes of slag particles;

[0118] Process the magnetic characteristics and flow changes and generate corresponding control signals;

[0119] According to the magnetic data of the monitored slag particles, the magnetic field strength of the magnetic separator is adjusted in real time;

[0120] The magnetic field frequency of the magnetic separator is adjusted in real time according to the monitored slag particle flow data.

[0121] Optionally, the flotation process can be modeled and optimized to automatically adjust the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters by predicting the formation and collapse of flotation bubbles, including:

[0122] Acquire historical data of the flotation process, and clean and preprocess the historical data to obtain preprocessed data;

[0123] Based on the preprocessed data, a data model is established using a neural network;

[0124] According to the data model, the aeration volume, liquid flow rate and stirring speed of the flotation machine are automatically adjusted.

[0125] Optionally, the slag particles after flotation are subjected to high temperature calcination to decompose and solidify the harmful substances, including:

[0126] drying the slag particles that have undergone flotation treatment, and screening the dried slag particles;

[0127] Preheat the calcining equipment and set the calcining temperature and calcining time parameters according to the composition and properties of the slag;

[0128] Under the set calcination parameters, the high-temperature calcination process is started. During the calcination process, the equipment is kept running stably and the temperature parameters are monitored in real time. When the set calcination time is reached, the heating is stopped and the equipment is gradually cooled.

[0129] like Figure 3 As shown in the figure, when used in specific applications, the slag from municipal solid waste incineration power plants is mainly composed of an inhomogeneous mixture of stones, sand, glass, ceramics, ash and a small amount of unburned garbage. After crushing and sorting, the slag has stable chemical properties, good durability and high strength.

[0130] The slag disposal method of the present invention is a wet separation process consisting of two stages:

[0131] In the first stage, the slag is separated from the raw slag by a feeding roller screen, removing larger lumps and unburned waste. The unburned waste is then collected and transported to the power plant for further incineration. Lumps include lumps of iron metal, stainless steel kettles, agglomerated slag, stones, and waste bricks. Unburned waste, stainless steel kettles, and large lumps of iron metal are manually collected and sorted. The remaining scrap is separated into smaller pieces by a primary electromagnetic iron remover and then conveyed to a crusher for crushing. Agglomerated slag, stones, and waste bricks are then conveyed to the crusher for crushing and further sorting.

[0132] The second stage: the slag and scrap iron after the primary selection are crushed by crushers and then enter the upper suction magnetic separator for secondary iron removal. The separated iron is collected and stored through roller cage screens, and an appropriate amount of water is injected during crushing to suppress dust. The slag after the secondary iron removal is sequentially separated into light matter (mainly sand) and heavy matter (mainly copper-zinc mixture) by flotation by a two-stage jig. The light matter (mainly sand) is followed by water and sequentially passed through fine sand roller cage screening to select fine sand, screw conveyor and raw material roller cage screening to select fine garbage, and coarse sand roller cage screening to select sand and slag head. The fine sand is separated from the water through a sand settling hopper and dewatering screen. The fine garbage is collected and transported to the power plant for incineration. The medium sand is separated from the metal aluminum through a double-layer eddy current separator and then separated from the glass through a glass color sorter. The sand is transported to a designated area for drying by a belt conveyor. The slag head is separated from the metal aluminum through a single-layer eddy current separator and then separated from the glass through a glass color sorter and then transported to the feeding roller cage screen by a belt conveyor for cyclic sorting. Heavy material (primarily a mixture of copper and zinc) is floated by a jig. A portion (coarser) remains in the tank, where it is manually scooped up and dried. The remaining portion (fine) flows through the screen in the tank to a shaker for sorting, then is collected and dried. Water enters the water circulation system. A small amount of fine sand and sludge that enters the water circulation system is precipitated in a sludge thickening tank and then dehydrated and separated by a filter press. The finished sand can be used to make unfired concrete bricks or sold directly as a building material.

[0133] Developed based on the slag disposal production process, the central control system utilizes Siemens SCADA system WinCC software combined with the Siemens S7-1500 series PLC system. It offers security, reliability, intelligent diagnosis, smart control, data traceability and management, and remote diagnosis and maintenance. The system visualizes the entire production process on a computer screen as an industrial process. Designed with simplicity, user-friendliness, and ease of observation in mind, it ensures easy identification of equipment status and includes voice prompts for fault information.

[0134] The control system utilizes Siemens' latest S7-1500 series system, offering stable operation and fast response. It can communicate with distributed I / O stations using Siemens' proprietary S7 protocol, ensuring rapid, reliable, and stable response. It also features network disconnect protection to ensure safe production. Intelligent control features interlock between devices based on production processes to prevent secondary failures, material blockages, and other issues caused by equipment failures. The system also offers a zone-by-zone emergency stop and restart feature. For example, if equipment in the feed area requires an emergency stop due to a specific reason, a quick press of the zone emergency stop button will cause the entire feed area to stop completely. Once the issue is resolved, pressing the zone emergency stop button again will automatically restart the feed area, eliminating the need for manual restart of each device individually and ensuring that all subsequent work sections remain unaffected. Intelligent fault notifications: When a fault occurs, not only will the device icon on the screen turn red and detailed information is displayed in the alarm window, but there will also be a voice announcement function. The fault information is also recorded in a database for analysis. As shown in the figure, when an alarm occurs, the voice prompt will continuously announce "B1 circuit breaker tripped" until the operator confirms the alarm. The alarm information includes the device name, number, message text (fault name), and fault point (location). Through the location, the operator can quickly know the specific location and handle it quickly.

[0135] The device information card displays all fault conditions, parameter settings, and maintenance schedules for the device, as shown in the figure. Each box after the status in the figure corresponds to a fault. When a fault exists, the box turns red, and the fault name is displayed when the mouse is moved over the box. The "Shield" checkbox below can be used to shield the fault, allowing for emergency production.

[0136] like Figure 4 and Figure 5As shown, the main power supply line 1 is the main power supply source of the power cabinet, which plays the role of introducing power from the power grid into the power cabinet; the circuit breaker 2 is a switching element used to control and protect the circuit. It connects and disconnects the power supply by opening or closing the circuit. It is connected to the main power supply line and can cut off or restore the power supply; the measurement circuit 3 is set on the main power supply line and is used to monitor power parameters such as current, voltage and frequency, so as to understand the operating status of the power supply in real time, which is helpful for implementing power load management and fault diagnosis; the power indicator 4 is used to display the status of the power supply in the form of an indicator light. It is connected to the main power supply line and can reflect the connection or disconnection of the power supply in real time. The open state is convenient for operators to observe and judge; the circuit breaker control circuit 5 is a circuit system for remote control of the circuit breaker, which is connected to the power supply indicator. The open and closed state of the circuit breaker 2 can be controlled by remote operation to realize the disconnection or connection of the power supply, making the power supply more convenient and flexible to control; through the control and protection of the circuit breaker 2, the monitoring and data acquisition of the measurement circuit 3, and the coordinated effect of the power supply indicator and the circuit breaker control circuit, the stable and safe power supply can be ensured, and the power supply status information can be accurately obtained, which is convenient for operation and maintenance; it can improve the reliability and management efficiency of the power supply system, and at the same time protect electrical equipment from the influence of power problems.

[0137] like Figure 4 and Figure 5 As shown, the main power supply line 1 is connected to the power line A1, the power line B1 and the power line C1 through the three power lines A, B and C, and then connected through the circuit breaker 2; the three-phase power supply is realized by connecting the main power supply line 1 and the three power lines A, B and C, which can meet the demand for three-phase power and provide a stable power supply; the power lines A, B and C are connected to the power lines A1, B1 and C1 respectively, which can distribute the load on the three phases and achieve load balancing; this can avoid excessive load on one phase, balance the current load of the power supply system, and improve the power supply quality and stability; the circuit breaker 2 is connected to the power lines A1, B1 and C 1, it plays a role in protecting and controlling the power supply. Once the power line is overloaded, short-circuited or other faults occur, the circuit breaker 2 can quickly cut off the power supply to prevent the equipment or system from being damaged by the power problem. The circuit breaker 2 can realize independent operation and control of the power supply by connecting to the power line A, power line B and power line C respectively. In maintenance, overhaul or emergency situations, the power supply of a certain phase can be targeted to cut off or restore to ensure the safety of operators. The main power supply line is connected to the power line A1, power line B1 and power line C1 respectively through the three power lines A, power line B and power line C, and connected to the circuit breaker, which can realize three-phase power supply and load balancing, ensuring safe, stable and flexible operation of the power supply.

[0138] like Figure 4 and Figure 5 As shown, indicator light A, indicator light B and indicator light C are components of the power indication 4, forming a loop with the power meter PW and the power supply; indicator light A is connected to one port of the power meter PW, and when the power line A is connected, indicator light A will light up, indicating that the power line A has been connected normally; indicator light B is connected to another port of the power meter PW, and when the power line B is connected to the power, indicator light B will light up, indicating that the power line B is connected normally; indicator light C is connected to the third port of the power meter PW, and when the power line C is connected to the power, indicator light C will light up, indicating that the power voltage of the power line C is normal; the on and off of the indicator lights can indicate the power status of the power lines A, B and C; if indicator light A, indicator light B and indicator light C are all on, it means that the power connection is normal and the operation is stable; if any indicator light is not on, it means that the corresponding power connection or voltage is abnormal and needs to be checked and repaired; through these indicator lights, the user can intuitively understand the power supply status and ensure the normal operation of the circuit

[0139] like Figure 4 and Figure 5 As shown, the function of the circuit breaker control circuit 5 is to control the on-off state of the circuit and protect the safe operation of the circuit and equipment; the power line QF1 is connected to the fuse FU1. When an overload or short circuit occurs in the circuit, the fuse FU1 will automatically disconnect the circuit to prevent excessive current from damaging the circuit or equipment, thereby ensuring the safety of the power line A and the equipment connected thereto; the power line QF3 is connected to the fuse FU2. Similarly, when an overload or short circuit occurs in the circuit, the fuse FU2 will automatically disconnect the circuit to prevent excessive current from damaging the circuit or equipment, thereby ensuring the safety of the power line B and the equipment connected thereto; the neutral line N is used to provide a loop for the circuit to ensure the normal flow of current; when the circuit is disconnected, the neutral line N will also be automatically disconnected to ensure that the circuit is completely powered off, thereby ensuring personal safety; the circuit breaker control circuit is simple and convenient to install and use, and can quickly detect and restore the on-off state of the circuit, improve the reliability and stability of the circuit, and reduce the occurrence of faults and damage.

[0140] like Figure 4 and Figure 5As shown, the circuit breaker control circuit 5 includes an intelligent controller 51, an undervoltage trip 52, a trip 53, a closing 54, an energy storage 55, and a closing indicator 56. The intelligent controller 51 can detect and monitor the switch status of the circuit breaker in real time, including the open and closed states, which helps the operator understand the working status of the circuit breaker. Through the circuit breaker control circuit, the circuit breaker can be remotely operated, that is, the circuit breaker can be remotely switched on and off, and the circuit can be remotely switched on and off, maintenance operations can be performed, or troubleshooting can be performed. The circuit breaker control circuit can monitor fault conditions in the circuit, such as overcurrent, overload, short circuit, etc. Once a fault is detected, the control circuit automatically triggers the circuit breaker to cut off the fault current to protect the circuit and related equipment from damage. The circuit breaker control circuit monitors the current and voltage in the circuit, which helps to understand the circuit usage, load status, and power supply stability, and make corresponding circuit breaker control decisions based on the monitoring results. A switch SB1 is provided between the trip 53 and the power line QF1; a switch SB2 is provided between the closing 54 and the power line QF2; and an indicator light N is connected to the closing indicator 56.

[0141] like Figure 4 and Figure 5 As shown, switches SB1 and SB2 act as switches; when switch SB1 is turned on, the disconnector 53 is disconnected from the power line QF1, isolating the power line QF1 from other devices, preventing the power line QF1 from affecting other devices, and facilitating the repair or replacement of the power line QF1; when switch SB1 is turned off, the disconnector 53 is reconnected to the power line QF1, and the power line QF1 is restored to the power supply state; when switch SB2 is turned on, the closing switch 54 is disconnected from the power line QF2, isolating the power line QF2 from other devices; when switch SB2 is turned off, the closing switch 54 is reconnected to the power line QF2, and the power line QF2 is restored to the power supply state; by setting switches SB1 and SB2, the power supply status of the power lines QF1 and QF2 can be flexibly controlled, and the opening and closing operations of the power lines can be realized, which can ensure the safe operation of the power lines and improve the reliability and stability of the power system.

[0142] It should be noted that this device is a device corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0143] An embodiment of the present invention further provides a computing device comprising: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the above-described method. All implementations in the above-described method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0144] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, causes the computer to execute the above-described method. All implementations in the above-described method embodiment are applicable to this embodiment and can achieve the same technical effects.

[0145] Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of the present invention.

[0146] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0147] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0148] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0149] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0150] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0151] In addition, it should be noted that, in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined, and these decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but do not necessarily need to be performed in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it will be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0152] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the purpose of the present invention can also be achieved simply by providing a program product containing program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined, and these decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but do not necessarily need to be performed in chronological order. Certain steps can be performed in parallel or independently of each other.

[0153] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. An environmentally friendly slag treatment control method, characterized in that: The method comprises: By analyzing the physical properties of the slag and the performance data of the crushing equipment, the crushing and screening parameters are automatically adjusted to crush and screen the slag to obtain slag particles of different particle sizes; According to the magnetism and flow rate changes of the slag particles, the magnetic field strength and frequency of the magnetic separator are adjusted in real time to remove ferromagnetic substances in the slag particles, including: Real-time monitoring of the magnetic properties of slag particles and the flow changes of slag particles, including real-time monitoring of the magnetic properties of slag particles M and traffic F ,in, ,in, and Respectively indicate at time The magnetic properties and instantaneous measurement of flow rate, represents the measurement time window; The magnetic characteristics and flow rate changes are processed and corresponding control signals are generated, specifically including processing the magnetic characteristics and flow rate changes and generating control signals ( C M and C F ),in, ,in, and is the conversion factor, which converts the rate of change of magnetic characteristics and flow rate into a control signal; According to the magnetic data of the monitored slag particles, the magnetic field strength of the magnetic separator is adjusted in real time, specifically including: according to the magnetic data of the slag particles, the magnetic field strength of the magnetic separator is adjusted in real time H ,in, ,in, is the basic magnetic field strength, is the adjustment coefficient, which is used to convert the control signal into magnetic field strength adjustment; According to the flow data of the monitored slag particles, the magnetic field frequency of the magnetic separator is adjusted in real time, specifically including: according to the flow data of the slag particles, the magnetic field frequency of the magnetic separator is adjusted in real time ω ,in, ,in, is the fundamental magnetic field frequency, is the adjustment coefficient used to convert the control signal into magnetic field frequency adjustment, where and Indicates the control signal based on magnetic field and flow rate change rate; and Respectively indicate time Magnetic field strength and frequency; Modeling and optimizing the flotation process to automatically adjust the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters to remove non-ferrous and rare metals by predicting the formation and collapse of flotation foam. The slag particles after flotation are calcined at high temperature to decompose and solidify the harmful substances; The calcined slag particles are cooled, crushed and sieved to obtain recycled aggregates of different particle sizes.

2. The environmentally friendly slag treatment control method according to claim 1, characterized in that: By analyzing the physical characteristics of the slag and the performance data of the crushing equipment, the crushing and screening parameters are automatically adjusted, including: Obtain physical property data from slag by Process the slag physical property data to obtain the output signal ,in, is the original input data, , , are the coefficients of the filter, n is a time index, indicating the moment of data collection; Extract relevant characteristic parameters from the physical property data of slag and the performance data of crushing equipment; Develop a mathematical model based on the relationship between the physical properties of the slag, the performance of the crushing equipment, and the crushing and screening parameters; According to the mathematical model, the final parameter values ​​are obtained by solving.

3. The environmentally friendly slag treatment control method according to claim 2, characterized in that: According to the mathematical model, solving to obtain the final parameter values ​​includes: Obtain data on the physical properties of slag; According to the data of slag physical properties, a mathematical model of slag physical properties is established; Construct the objective function based on the mathematical model of slag physical properties and actual application requirements; The fitness value of each particle is calculated based on the objective function and constraints, where each particle retains its corresponding final position and the final position of the group.

4. The environmentally friendly slag treatment control method according to claim 3, characterized in that: The fitness value of each particle is calculated based on the objective function and constraints, including: pass Calculate the comprehensive fitness value of the particle ,in, Represents each objective function in the mathematical model; Represents the weight coefficient of each objective function, represents the constraint function in the mathematical model, represents the penalty coefficient of the constraint condition, x represents the position of the particle in the search space, n is the index.

5. The environmentally friendly slag treatment control method according to claim 4, characterized in that: Model and optimize the flotation process. By predicting the formation and collapse of flotation foam, the flotation machine's aeration volume, liquid flow rate, and stirring speed parameters can be automatically adjusted, including: Acquire historical data of the flotation process, and clean and preprocess the historical data to obtain preprocessed data; Based on the preprocessed data, a data model is established using a neural network; According to the data model, the aeration volume, liquid flow rate and stirring speed of the flotation machine are automatically adjusted.

6. The environmentally friendly slag treatment control method according to claim 5, characterized in that: The slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances, including: drying the slag particles that have undergone flotation treatment, and screening the dried slag particles; Preheat the calcining equipment and set the calcining temperature and calcining time parameters according to the composition and properties of the slag; Under the set calcination parameters, the high-temperature calcination process is started. During the calcination process, the equipment is kept running stably and the temperature parameters are monitored in real time. When the set calcination time is reached, the heating is stopped and the equipment is gradually cooled.

7. An environmentally friendly slag treatment control device, characterized in that: The device is used to implement the method according to any one of claims 1 to 6, comprising: The acquisition module is used to automatically adjust the crushing and screening parameters by analyzing the physical properties of the slag and the performance data of the crushing equipment, so as to crush and screen the slag to obtain slag particles of different particle sizes; according to the magnetic properties of the slag particles and the flow rate changes, the magnetic field strength and frequency of the magnetic separator are adjusted in real time to remove ferromagnetic materials in the slag particles; The processing module is used to model and optimize the flotation process. By predicting the formation and collapse of flotation foam, it automatically adjusts the flotation machine's inflation volume, liquid flow rate, and stirring speed parameters to remove non-ferrous metals and rare metals. The slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances. The calcined slag particles are then cooled, crushed, and screened to obtain recycled aggregates of different particle sizes.

8. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a program, which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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