CN117718319A - Environment-friendly slag treatment control method and device - Google Patents
Environment-friendly slag treatment control method and device Download PDFInfo
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Abstract
The invention provides an environment-friendly slag treatment control method and device, and relates to the technical field of slag treatment, wherein the method comprises the following steps: according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles; modeling and optimizing a flotation process, and automatically adjusting parameters of aeration quantity, liquid medicine flow and stirring speed of a flotation machine by predicting formation and breaking processes of flotation foam so as to remove nonferrous metals and rare metals; calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances; and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes. The invention improves the slag treatment efficiency and the quality of the recycled aggregate, and reduces the treatment cost and the influence on the environment.
Description
Technical Field
The invention relates to the technical field of slag treatment, in particular to an environment-friendly slag treatment control method and device.
Background
Slag is a solid waste produced in the industrial production process of metallurgy, electric power, chemical industry and the like. Since it contains a large amount of harmful substances and useful components, it is seriously harmful to the environment and human health if discharged directly without treatment.
At present, the treatment method for slag mainly comprises physical treatment, chemical treatment, comprehensive utilization and the like. The physical treatment method is mainly to pretreat the slag through crushing, sieving, magnetic separation and other processes so as to remove large blocks and harmful components in the slag; the chemical treatment method is to extract valuable metals from slag through flotation, leaching and other processes; the comprehensive utilization method is to reuse the processed slag, such as building materials, roadbed materials and the like.
However, existing slag treatment methods still have some problems and disadvantages. For example, the parameter settings of crushing and screening equipment in physical treatment processes are often dependent on the experience of the operator, making automation and intelligent control difficult; the control accuracy and efficiency of the flotation process in the chemical treatment method are limited by the accuracy of the model prediction and control algorithm; the granularity and the mass distribution of the recycled aggregate in the comprehensive utilization method are uneven, and the recycling effect and the range of the recycled aggregate are affected.
Disclosure of Invention
The invention aims to solve the technical problems of providing an environment-friendly slag treatment control method and device, which realize intelligent control and automatic management of slag treatment process, realize decomposition and solidification of harmful substances, obtain recycled aggregate with different granularities, improve slag treatment efficiency and quality of recycled aggregate, and reduce treatment cost and influence on environment by automatically adjusting crushing and screening parameters, adjusting magnetic field intensity and frequency of a magnetic separator in real time, optimizing flotation process parameters and other control measures.
In order to solve the technical problems, the technical scheme of the invention is as follows:
in a first aspect, an environmental friendly slag treatment control method, the method comprising:
the parameters of crushing and screening are automatically adjusted by analyzing the physical characteristics of the slag and the performance data of crushing equipment so as to crush and screen the slag to obtain slag particles with different granularities;
according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
modeling and optimizing a flotation process, and automatically adjusting parameters of aeration quantity, liquid medicine flow and stirring speed of a flotation machine by predicting formation and breaking processes of flotation foam so as to remove nonferrous metals and rare metals;
calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances;
and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
Further, by analyzing physical characteristics of slag and performance data of crushing equipment, parameters of crushing and screening are automatically adjusted, including:
obtaining physical property data from slag by Processing the slag physical characteristic data to obtain an output signal y n Wherein x is n Is the original input data, a 2 ，b 1 ，b 2 Is a coefficient of the filter, n is a time index, and represents the time of data acquisition;
extracting relevant characteristic parameters from physical characteristic data of slag and performance data of crushing equipment;
establishing a mathematical model according to the relation between the physical characteristics of the descriptive slag, the performance of crushing equipment and crushing and screening parameters;
and solving according to the mathematical model to obtain a final parameter value.
Further, according to the mathematical model, solving to obtain a final parameter value includes:
acquiring data of physical properties of slag;
establishing a mathematical model of the physical characteristics of the slag according to the data of the physical characteristics of the slag;
constructing an objective function according to a mathematical model of the physical characteristics of the slag and actual application requirements;
and calculating the fitness value of each particle according to the objective function and the constraint condition, wherein each particle retains the corresponding final position and the final position of the population.
Further, calculating the fitness value of each particle according to the objective function and the constraint condition includes:
by passing through Calculating a composite Fitness value Fitness of the particle, wherein f 2 (x)，…，f n (x) Representing individual objective functions in the mathematical model; w (w) 1 ，…，w n Weight coefficient g representing each objective function i (x) Representing constraint functions in a mathematical model, lambda i A penalty coefficient representing the constraint, x representing the position of the particle in the search space, n being the index.
Further, according to the magnetism and flow change of slag particles, adjust the magnetic field intensity and the frequency of magnet separator in real time, include:
monitoring magnetic properties of slag particles in real time and flow rate changes of the slag particles;
processing the magnetic characteristics and the flow rate change, and generating corresponding control signals;
according to the magnetic data of the monitored slag particles, the magnetic field intensity of the magnetic separator is adjusted in real time;
and adjusting the magnetic field frequency of the magnetic separator in real time according to the monitored flow data of the slag particles.
Further, the flotation process is modeled and optimized, and the parameters of the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine are automatically adjusted by predicting the formation and breaking process of flotation foam, and the method comprises the following steps:
acquiring historical data of a flotation process, and cleaning and preprocessing the historical data to obtain preprocessed data;
according to the preprocessing data, a data model is established by utilizing a neural network;
and according to the data model, automatically adjusting the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine.
Further, the slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances, and the method comprises the following steps:
drying the slag particles subjected to flotation treatment, and screening the dried slag particles;
preheating the calcining equipment, and setting calcining temperature and calcining time parameters according to the components and properties of the slag;
under the set calcination parameters, starting a high-temperature calcination process, keeping the equipment stably running in the calcination process, monitoring the temperature parameters in real time, and stopping heating and gradually cooling the equipment after the set calcination time is reached.
In a second aspect, an environmental friendly slag treatment control device includes:
the acquisition module is used for automatically adjusting parameters of crushing and screening by analyzing physical characteristics of the slag and performance data of crushing equipment so as to crush and screen the slag to obtain slag particles with different granularities; according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
the processing module is used for modeling and optimizing a flotation process, and automatically adjusting the inflation quantity, the liquid medicine flow and the stirring speed parameters of the flotation machine by predicting the formation and breaking process of flotation foam so as to remove nonferrous metals and rare metals; calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances; and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
In a third aspect, a computing device includes:
one or more processors;
and a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the above-described methods.
In a fourth aspect, a computer readable storage medium stores a program that when executed by a processor implements the above method.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, through the control measures of automatically adjusting crushing and screening parameters, adjusting the magnetic field intensity and frequency of the magnetic separator in real time, optimizing the flotation process parameters and the like, the intelligent control and automatic management of the slag treatment process are realized, the decomposition and solidification of harmful substances are realized, meanwhile, the recycled aggregate with different granularities is obtained, the slag treatment efficiency and the quality of the recycled aggregate are improved, and the treatment cost and the influence on the environment are reduced.
Drawings
Fig. 1 is a schematic flow chart of an environment-friendly slag treatment control method according to an embodiment of the invention.
Fig. 2 is a schematic view of an environment-friendly slag treatment control device according to an embodiment of the invention.
Fig. 3 is a schematic view of a treatment process of an environment-friendly slag treatment device according to an embodiment of the invention.
Fig. 4 is a schematic diagram of a power supply cabinet incoming line power supply control circuit of the environment-friendly slag treatment device according to the embodiment of the invention.
Fig. 5 is a schematic diagram of a circuit breaker control loop of a power cabinet incoming line power supply control circuit of an environment-friendly slag processing device according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described more closely below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, an embodiment of the present invention proposes an environment-friendly slag treatment control method, which includes:
step 11, automatically adjusting parameters of crushing and screening by analyzing physical characteristics of slag and performance data of crushing equipment so as to crush and screen the slag to obtain slag particles with different granularities;
Step 12, according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
step 13, modeling and optimizing a flotation process, and automatically adjusting parameters of aeration quantity, liquid medicine flow and stirring speed of a flotation machine by predicting formation and breaking processes of flotation foam so as to remove nonferrous metals and rare metals;
step 14, calcining the slag particles after flotation at high temperature to decompose and solidify harmful substances;
and 15, cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
In the embodiment of the invention, the parameters of crushing and screening are automatically adjusted by analyzing the physical characteristics of the slag and the performance data of the crushing equipment, so that the slag can be crushed and screened more effectively to obtain slag particles with different granularities. Not only can the labor be saved, but also the treatment efficiency can be improved; the magnetic field intensity and the frequency of the magnetic separator can be adjusted in real time according to the magnetic property and the flow change of the slag particles, so that ferromagnetic substances in the slag particles can be removed more effectively. This can improve the separation effect and make the removal of ferromagnetic substances more thorough. By modeling and optimizing the flotation process, the parameters of the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine are automatically adjusted, and the formation and breaking process of flotation foam can be more accurately predicted and controlled, so that nonferrous metals and rare metals can be more effectively removed. This can not only improve the recovery rate of the metal but also reduce the processing cost. The harmful substances are decomposed and cured through high-temperature calcination, so that the activity and toxicity of the harmful substances can be reduced, and the pollution to the environment is reduced; the slag particles after flotation are subjected to high-temperature calcination, cooling, crushing and screening to obtain the recycled aggregate with different granularities, so that the recycling of slag can be realized, and the recycled aggregate can be used for manufacturing building materials, roadbed materials and the like, thereby saving natural resources and reducing production cost. Through automatic adjustment of parameters of crushing, screening, magnetic separation and flotation, automatic control of slag treatment is realized, operation difficulty can be reduced, and influence of human factors on treatment effect can be reduced. The method can be adjusted and optimized according to the physical characteristics and chemical components of slag of different sources and types, has strong adaptability, and can be widely applied to treatment and utilization of various industrial slag.
In a preferred embodiment of the invention, the parameters of crushing and screening are automatically adjusted by analyzing the physical characteristics of the slag and the performance data of the crushing plant, including:
obtaining physical property data from slag by Processing the slag physical characteristic data to obtain an output signal y n Wherein x is n Is the original input data, a 2 ，b 1 ，b 2 Is a coefficient of the filter, n is a time index, and represents the time of data acquisition;
extracting relevant characteristic parameters from physical characteristic data of slag and performance data of crushing equipment;
establishing a mathematical model according to the relation between the physical characteristics of the descriptive slag, the performance of crushing equipment and crushing and screening parameters;
and solving according to the mathematical model to obtain a final parameter value.
In the embodiment of the invention, the composition and properties of the slag can be more accurately known by analyzing the physical characteristics of the slag, such as density, hardness, viscosity, and the like. Meanwhile, by combining the performance data of the crushing equipment, such as crushing force, screen mesh diameter and the like, the equipment can be ensured to run in an optimal state, so that ideal crushing and screening effects are obtained. Through processing the physical characteristic data of the slag and optimizing by using a filter, noise and interference in the data can be reduced, and a more accurate output signal is obtained, so that the crushing and screening processes are smoother, and the overall processing efficiency is improved. Can be suitable for slag with different sources and different properties. Through analysis of physical characteristic data, the composition change of slag can be judged, so that crushing and screening parameters can be timely adjusted, and the treatment effect is ensured. The whole process from data acquisition and processing to automatic parameter adjustment realizes high automation. This reduces not only the cost of labor, but also the possibility of human error. By precisely controlling the crushing and sieving process, the output slag particles can be ensured to meet specific granularity requirements, thereby improving the effect of subsequent treatment or utilization.
In another preferred embodiment of the invention, the extraction of relevant characteristic parameters from the physical property data of the slag and the performance data of the crushing plant comprises:
from raw data of physical properties of slag and crushing plant performanceCalculating a weighted average particle size of the slag, wherein +.>Is the weighted average granularity, D i Is a single particle size measurement, w i Is the corresponding weight and n is the number of measurements. Converting the extracted features, and reducing the dimension of the features by using principal component analysis so as to better reflect the complexity of the crushing process; by-> The interdependence between the features is measured, wherein MI (x, y) represents the mutual information between the features x and y, p (x, y) is the joint probability distribution of x and y, and p (x) and p (y) are the edge probability distribution of x and y, so that the data can be analyzed more comprehensively and deeply, and relevant feature parameters can be extracted from the physical property data of slag and the performance data of crushing equipment more effectively.
In another preferred embodiment of the invention, the extraction of relevant characteristic parameters from the physical property data of the slag and the performance data of the crushing plant comprises:
setting the density rho, the granularity distribution D (x), the hardness H and the humidity W of slag; establishing a correlation function f (rho, D (x), H and W) of the density rho, the particle size distribution D (x), the hardness H and the humidity W of the slag and the crushing difficulty;
Definition of crushing capacity C and base electric energy consumption E of crusher 0 And an additional power consumption coefficient k per unit of throughput; constructing crushing efficiency eta, crushing capacity C and basic electric energy consumption E 0 And an additional power consumption coefficient k per unit of throughput, where η=g (C, E 0 K); the crushing process involves an input particle size D in Granularity D of output out A throughput Q; establishing the relation between the efficiency of the crushing process and the parameters, eta process ＝h(D in ，D out Q); according to the input granularity D in Granularity D of output out And the throughput Q, build a comprehensive model, and calculate the total efficiency eta of the whole crushing process according to the comprehensive model total ，
In a preferred embodiment of the invention, solving to obtain the final parameter value according to the mathematical model comprises:
acquiring data of physical properties of slag;
establishing a mathematical model of the physical characteristics of the slag according to the data of the physical characteristics of the slag;
constructing an objective function according to a mathematical model of the physical characteristics of the slag and actual application requirements;
and calculating the fitness value of each particle according to the objective function and the constraint condition, wherein each particle retains the corresponding final position and the final position of the population.
In the embodiment of the invention, the collected data is utilized to establish a mathematical model of the physical characteristics of slag; according to actual application requirements, determining a target to be optimized, and using an objective function and constraint conditions to calculate an fitness value of each particle, wherein the particle represents a point in a parameter space, and the fitness value reflects the degree of the point on the objective function; the particle swarm optimization algorithm gradually approaches to an optimal solution by continuously iterating and updating the positions of particles, and in each iteration, updating the positions of each particle according to the calculated fitness value and reserving the final positions of the groups; the particle swarm optimization algorithm can find out the parameter combination which optimizes the objective function, so as to realize the optimization of the physical characteristics of slag, and generally has higher convergence rate, and can find out the result close to the optimal solution in a relatively shorter time.
In another preferred embodiment of the present invention, establishing a mathematical model of the physical properties of the slag based on the data of the physical properties of the slag comprises:
obtaining a physical characteristic vector P of slag, wherein P= [ rho, D, H, W ], wherein rho is density, D is particle size distribution, H is hardness and W is humidity;
by passing throughRepresents the particle size distribution, where μD is the average value of the particle size, σ D Is the standard deviation; the physical properties of the slag vary with the temperature T by a temperature influence coefficient alpha T Adjusting physical parameters, wherein P T ＝α T (T)×P，P T Is the adjusted physical parameter alpha T Is a temperature influence coefficient function.
In another preferred embodiment of the present invention, establishing a mathematical model of the physical properties of the slag based on the data of the physical properties of the slag comprises:
the aim is to maximize the slag treatment efficiency E while minimizing the energy consumption (C energy ) Cost of processing (C process ) And according to the environmental influence (I env ) The objective function is Wherein S represents a system parameter; omega E ，/>And->The weight coefficients of the components are respectively, wherein the processing efficiency functionWhere η (S) is the device efficiency and is related to the system parameter S; environmental impact functionWherein CO 2 Represents carbon dioxide emission, P pollutants Indicating other pollutant emissions, delta C And delta P Is an adjustment coefficient; minimizing energy consumptionFunction 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), wherein W (S) and W maintenance (S) represents costs related to working strength and equipment maintenance, respectively, wherein α Q Is an adjustment coefficient; q (P, S) refers to the amount of slag processed per unit time given the physical properties P of the slag and the system parameters S; t (P, S) refers to the time required to complete a particular amount of treatment given the physical properties P of the slag and the system parameters S; beta T An energy consumption adjustment coefficient related to the processing time T, representing the specific gravity of the time cost in the total energy consumption; beta P An energy consumption adjustment coefficient related to the physical property of slag, representing the degree of influence of the physical property on energy consumption; f (f) P An energy consumption function of the physical properties of the (P, S) slag, representing the physical properties f P And the specific influence of the system parameter S on the energy consumption; beta W Representing an energy consumption adjustment coefficient associated with the operating intensity; w (S) represents the energy consumption related to the working intensity, reflecting the influence of the system parameter S on the energy consumption; gamma ray D An adjustment factor representing equipment depreciation cost; d (D) cost (S) represents equipment depreciation cost, and is related to system parameter S; gamma ray M An adjustment coefficient representing the cost of raw materials; m is M cost (P, S) represents raw material costs, associated with slag physical properties P and system parameters S; gamma ray W An adjustment coefficient representing maintenance costs.
In a preferred embodiment of the present invention, calculating the fitness value of each particle according to the objective function and the constraint comprises:
by passing through Calculating a composite Fitness value Fitness of the particle, wherein f 2 (x)，…，f n (x) Representing individual objective functions in the mathematical model; w (w) 1 ，…，w n Weight coefficient g representing each objective function i (x) Representing constraint functions in a mathematical model, lambda i A penalty coefficient representing the constraint, x representing the position of the particle in the search space, n being the index.
In the embodiment of the invention, the position of the particles is adjusted to minimize or maximize the fitness value, so that an optimal solution meeting the target and constraint conditions is found, and the performance of the particle swarm can be gradually improved through continuous iterative optimization, so that the particle swarm better meets the requirements of the problem.
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 magnetic properties and flow rate changes of the slag particles, comprising:
the method for monitoring the magnetic property of the slag particles in real time and the flow change of the slag particles comprises the following steps of monitoring the magnetic property M and the flow F of the slag particles in real time, wherein M (t) = [ pi ] Δt m(t)dt,F(t)＝∫ Δt f (t) dt, where m (t) and f (t) represent the magnetic properties and the instantaneous measurement of the flow at time t, respectively, Δt representing the measurement time window;
processing the magnetic properties and the flow rate variation and generating a corresponding control signal, in particular comprising processing the magnetic properties and the flow rate variation, generating a control signal (C M And C F ) Wherein, the method comprises the steps of, wherein, wherein, kappa M And kappa (kappa) F Is a conversion coefficient, which converts the magnetic characteristics and the rate of change of the flow into control signals;
according to the magnetic data of the monitored slag particles, the magnetic field intensity of the magnetic separator is adjusted in real time, specifically, the magnetic field intensity H of the magnetic separator is adjusted in real time according to the magnetic data of the slag particles, wherein H (t) =H 0 +η H ×C M (t) wherein H 0 Is the basic magnetic field strength eta H Is an adjustment coefficient for converting a control signal into a magnetic field strengthAdjusting;
according to the monitored flow data of the slag particles, the magnetic field frequency of the magnetic separator is adjusted in real time, specifically, the magnetic field frequency omega of the magnetic separator is adjusted in real time according to the flow data of the slag particles, wherein omega (t) =omega 0 +η ω ×C F (t) wherein ω 0 Is the fundamental magnetic field frequency, eta ω Is an adjustment coefficient for converting a control signal into a magnetic field frequency adjustment, wherein C M (t) and C F (t) represents a control signal based on the magnetism and the rate of change of flow; h (t) and ω (t) represent the magnetic field strength and frequency, respectively, at time s.
In the embodiment of the invention, the working parameters of the magnetic separator can be ensured to respond to the change of slag rapidly and accurately through real-time monitoring and adjustment; the separation efficiency of the magnetic separator can be improved to the greatest extent and the resource waste is reduced by adjusting according to the actual magnetic property and flow of slag particles; the working parameters can be automatically adjusted according to the slag change under different conditions, the method is suitable for various production scenes, and the stability and the reliability of the system are improved.
In a preferred embodiment of the invention, the flotation process is modeled and optimized, and the aeration quantity, the liquor flow and the stirring speed parameters of the flotation machine are automatically adjusted by predicting the formation and breaking process of flotation froth, comprising:
acquiring historical data of a flotation process, and cleaning and preprocessing the historical data to obtain preprocessed data;
according to the preprocessing data, a data model is built by utilizing a neural network, which concretely comprises the steps of determining a network architecture NN arch Defining a loss functionFeatures to be preprocessed (X features ) Input network, prediction adjustment parameters (Y pred )；
According to the data model, the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine are automatically adjusted, and the method specifically comprises the following steps of based on the predicted output (Y pred ) Optimizing the charge (V air ) Flow rate of liquid medicine (F) reagent ) And stirring speed (S) stir ) The method comprises the steps of carrying out a first treatment on the surface of the Adjusting model input according to a real-time measurement result to form a closed-loop control system; using evaluation criteria, e.g. difference in recovery before and after adjustment (DeltaR recovery ) To evaluate the effect of the adjustment.
In the embodiment of the invention, the flotation machine can maintain the optimal operation state under different working conditions by predicting and adjusting the parameters in real time, the flotation efficiency is improved, the energy consumption can be reduced by accurately adjusting the parameters such as the aeration quantity, the liquid medicine flow, the stirring speed and the like, the more economical flotation process is realized, the dependence on operators can be reduced by an automatic adjusting system, the automation level of the process is improved, and the operation risk is reduced.
In a preferred embodiment of the present invention, the high temperature calcination of the slag particles after flotation to decompose and solidify the harmful substances comprises:
drying the slag particles subjected to flotation treatment, and screening the dried slag particles;
preheating the calcining equipment, and setting calcining temperature and calcining time parameters according to the components and properties of the slag;
Under the set calcination parameters, starting a high-temperature calcination process, keeping the equipment stably running in the calcination process, monitoring the temperature parameters in real time, and stopping heating and gradually cooling the equipment after the set calcination time is reached.
In the embodiment of the invention, the drying treatment is carried out to ensure the proper calcination state of slag particles, the dried slag particles are screened to remove unnecessary impurities, the calcination effect is improved, specific slag components and properties are aimed at, the calcination equipment is preheated, the equipment is ensured to be at proper working temperature, the calcination temperature and calcination time parameters are set according to the components and properties of the slag, so as to realize effective decomposition and solidification, the high-temperature calcination process is started under the set calcination parameters, the stable operation of the equipment is maintained in the calcination process, the full treatment of the slag particles in a high-temperature environment is ensured, the temperature parameters are monitored in real time to ensure that the calcination process is carried out in a safe range, the heating process is stopped after the set calcination time is reached, the slag particles are ensured to be fully calcined, the equipment is gradually cooled so as to safely unload the processed slag particles, the high-temperature calcination can decompose and solidify harmful substances in the slag, the environmental pollution risk is reduced, the calcination process is helpful to improve the resource utilization rate of the slag, the real-time monitoring and automatic adjustment parameters are helpful to maintain the stability and consistency of the calcination process, and the production efficiency is improved.
As shown in fig. 2, an embodiment of the present invention further provides an environment-friendly slag treatment control device 20, including:
the obtaining module 21 is configured to automatically adjust parameters of crushing and screening by analyzing physical characteristics of the slag and performance data of the crushing device, so as to crush and screen the slag, thereby obtaining slag particles with different particle sizes; according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
the processing module 22 is used for modeling and optimizing a flotation process, and automatically adjusting the parameters of the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine by predicting the formation and the breaking process of flotation foam so as to remove nonferrous metals and rare metals; calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances; and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
Optionally, by analyzing physical characteristics of the slag and performance data of the crushing plant, parameters of crushing and screening are automatically adjusted, including:
obtaining physical property data from slag by Processing the slag physical characteristic data to obtain an output signal y n Wherein x is n Is the original input data, a 2 ，b 1 ，b 2 Is the coefficient of the filter, n is the time index,representing the time of data acquisition;
extracting relevant characteristic parameters from physical characteristic data of slag and performance data of crushing equipment;
establishing a mathematical model according to the relation between the physical characteristics of the descriptive slag, the performance of crushing equipment and crushing and screening parameters;
and solving according to the mathematical model to obtain a final parameter value.
Optionally, according to the mathematical model, solving to obtain a final parameter value includes:
acquiring data of physical properties of slag;
establishing a mathematical model of the physical characteristics of the slag according to the data of the physical characteristics of the slag;
constructing an objective function according to a mathematical model of the physical characteristics of the slag and actual application requirements;
and calculating the fitness value of each particle according to the objective function and the constraint condition, wherein each particle retains the corresponding final position and the final position of the population.
Optionally, calculating the fitness value of each particle according to the objective function and the constraint condition includes:
by passing through Calculating a composite Fitness value Fitness of the particle, wherein f 2 (x)，…，f n (x) Representing individual objective functions in the mathematical model; w (w) 1 ，…，w n Weight coefficient g representing each objective function i (x) Representing constraint functions in a mathematical model, lambda i A penalty coefficient representing the constraint, x representing the position of the particle in the search space, n being the index.
Optionally, according to magnetism and flow change of slag particles, adjust magnetic field intensity and frequency of magnet separator in real time, include:
monitoring magnetic properties of slag particles in real time and flow rate changes of the slag particles;
processing the magnetic characteristics and the flow rate change, and generating corresponding control signals;
according to the magnetic data of the monitored slag particles, the magnetic field intensity of the magnetic separator is adjusted in real time;
and adjusting the magnetic field frequency of the magnetic separator in real time according to the monitored flow data of the slag particles.
Optionally, modeling and optimizing the flotation process, and automatically adjusting the aeration amount, the liquor flow and the stirring speed parameters of the flotation machine by predicting the formation and breaking process of flotation froth, including:
acquiring historical data of a flotation process, and cleaning and preprocessing the historical data to obtain preprocessed data;
according to the preprocessing data, a data model is established by utilizing a neural network;
and according to the data model, automatically adjusting the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine.
Optionally, the slag particles after flotation are calcined at high temperature to decompose and solidify harmful substances, including:
drying the slag particles subjected to flotation treatment, and screening the dried slag particles;
preheating the calcining equipment, and setting calcining temperature and calcining time parameters according to the components and properties of the slag;
under the set calcination parameters, starting a high-temperature calcination process, keeping the equipment stably running in the calcination process, monitoring the temperature parameters in real time, and stopping heating and gradually cooling the equipment after the set calcination time is reached.
As shown in fig. 3, when the slag is applied in the specific application, the slag of the household garbage incineration power plant mainly comprises a heterogeneous mixture of stone, sand, glass, ceramics, ash and a small amount of unburnt garbage, and the slag after crushing and sorting treatment has stable chemical property, better durability and higher strength.
The slag disposal method of the invention is a wet separation process, and consists of two stages:
the first stage: the slag is used for separating blocks with larger diameters and unburned garbage from raw slag through a feeding roller cage screen, and the unburned garbage is collected and transported to a power plant for continuous incineration. The blocks comprise block iron metal, stainless steel kettles, caked slag, stones and waste bricks. The unburned garbage, stainless steel kettles and massive iron metal are collected and classified manually. The rest of the small-sized waste iron is separated by the primary electromagnetic iron remover and then enters the crusher for crushing by the conveyor belt, and the caked slag, stone and waste bricks enter the crusher for crushing by the conveyor belt and then are fed and separated again.
And a second stage: crushing the primarily selected slag and waste iron respectively by a crusher, then feeding the crushed slag and waste iron into an updraught magnetic separator for secondary iron removal, rolling, washing, collecting and storing the separated iron by a rolling cage sieve, and injecting proper amount of water during crushing to inhibit dust emission; the slag after secondary iron removal sequentially passes through a two-stage jigger to separate light substances (mainly sand) and heavy substances (mainly copper-zinc mixture), and the light substances (mainly sand) sequentially pass through a fine sand roller cage sieve to separate fine sand, a screw conveyor and a raw material roller cage sieve to separate fine garbage, and sand and slag heads in the coarse sand roller cage sieve separation; the fine sand is subjected to sand-water separation through a sand settling hopper, a dewatering screen and the like; the fine garbage is collected and then is transported to a power plant for returning to the furnace for burning; separating metal aluminum from the medium sand by a double-layer eddy current separator, separating glass by a glass color separator, conveying the sand to a designated area by a belt conveyor, and airing; the slag head separates metal aluminum through a single-layer eddy current separator, and then the metal aluminum is separated through a glass color separator, and the glass is conveyed to a feeding roller cage sieve through a belt conveyor for circular separation. The heavy materials (mainly copper-zinc mixture) are partially (coarser) left in the tank through the jigger flotation, collected and dried through manual shoveling, and the other part (finer) flows from the screen in the tank to the shaking table for separation, and then collected and dried. The water enters a water circulation system, a small amount of fine sediment and sediment which enter the water circulation system along with the water are precipitated by a sludge concentration tank, and are dehydrated and separated by a filter press. The sand finished product can be used for manufacturing baking-free concrete brick masonry, and can also be directly sold for use as building materials.
The central control system is developed according to the slag disposal production process flow, combines the WINCC software of the Siemens SCADA system with the Siemens S7-1500 new series PLC system, and has the functions of safety, reliability, intelligent diagnosis, intelligent control, data tracing and management, remote diagnosis, maintenance and the like. The whole production process is reproduced on a computer picture in the form of an industrial flow, so that the production process is simple and friendly, is easy to observe as a main element design, is extremely easy to distinguish each state of equipment, and has the functions of fault information voice prompt and the like.
The control system adopts the Siemens latest series S7-1500 system, has stable operation and high response speed, can adopt Siemens special S7 protocol with distributed IO stations, has quick response, reliability and stability, has a network disconnection protection function, and ensures production safety. And the intelligent control function is used for preventing secondary faults, blocking and other problems caused by equipment faults according to the production process, wherein the intelligent interlocking function is arranged among the equipment. The function of Cheng Qi after the area scram, for example, the equipment in the feeding area needs to scram for special reasons, the area scram is pressed down quickly, the feeding area is stopped completely, cheng Qi is pressed down again after the problem treatment is finished, the system starts the feeding area automatically again, no manual start of equipment is needed, and all subsequent working sections are not affected. When an intelligent fault prompt occurs, besides the fact that equipment patterns on a picture become red and detailed information on an alarm window is displayed, the intelligent fault prompt has a voice broadcasting function, and meanwhile fault information is recorded in a database for inquiry analysis. If the alarm information is shown in the figure, the voice prompt can continuously report the "B1 idle trip" until an operator confirms the alarm. The alarm information comprises a device name, a number, a message text (fault name) and a fault point (position), and an operator can quickly know the specific position and quickly process the specific position through the position.
The equipment information card is used for reflecting information such as all fault states, all parameter settings, maintenance time and the like of the equipment, and the like, as shown in the figure: each box in the diagram after the state corresponds to a fault, when the fault exists, the box turns red, and the fault name is displayed when the mouse moves to the box. The shielding and hooking button below can shield the fault and can be used for emergency production.
As shown in fig. 4 and 5, the main power inlet wire 1 is a main power supply source of the power cabinet and plays a role in introducing power from a power grid into the power cabinet; the breaker 2 is a switching element for controlling and protecting a circuit, and is connected and disconnected with a power supply by opening or closing the circuit, and is connected with a main power supply inlet wire, so that the power supply can be cut off or restored; the measuring loop 3 is arranged on the main power supply inlet and is used for monitoring power supply parameters such as current, voltage, frequency and the like, knowing the running state of the power supply in real time and being beneficial to implementing power supply load management and fault diagnosis; the power supply indication 4 is used for displaying the state of the power supply, is connected with the incoming line of the main power supply in a mode of an indication lamp, can reflect the on-off state of the power supply in real time, and is convenient for operators to observe and judge; the circuit breaker control loop 5 is a circuit system for remotely controlling the circuit breaker, is connected with a power supply instruction, can control the opening and closing state of the circuit breaker 2 through remote operation, and can realize the disconnection or connection of the power supply, thereby more conveniently and flexibly controlling the power supply; through the control and protection of the circuit breaker 2, the monitoring and data acquisition of the measuring loop 3 and the synergistic effect of the power indication and the circuit breaker control loop, the stability and safety of power supply can be ensured, the power state information can be accurately acquired, and the operation and maintenance are convenient; the reliability and the management efficiency of the power supply system can be improved, and meanwhile, the electric equipment is protected from the influence of the power supply problem
As shown in fig. 4 and 5, the main power supply line 1 is connected to the power supply line A1, the power supply line B1 and the power supply line C1 through three power supply lines a, B and C, respectively, and then is connected through the circuit breaker 2; the three-phase power supply is realized through the connection of the main power supply inlet wire 1 and the three power supply wires A, B and C, so that the requirements on the three-phase power supply can be met, and stable power supply is provided; the power line A, the power line B and the power line C are respectively connected to the power line A1, the power line B1 and the power line C1, so that loads can be distributed on three phases, and load balancing is realized; thus, the overload of a certain phase of load can be avoided, the current load of the power supply system is balanced, and the power supply quality and stability are improved; the circuit breaker 2 is connected to the power line A1, the power line B1 and the power line C1 to protect and control the power supply, once overload, short circuit or other fault conditions occur in the power line, the circuit breaker 2 can rapidly cut off the power supply to avoid damage to equipment or a system caused by power problems, the circuit breaker 2 can realize independent operation and control of the power supply through the connection with the power line A, the power line B and the power line C, and can pertinently cut off or recover the power supply of a certain phase under the conditions of maintenance, overhaul or emergency, so that the safety of operators is ensured; the main power inlet wire is respectively connected to the power line A1, the power line B1 and the power line C1 through the three power lines A, the power line B and the power line C and is connected with the circuit breaker, so that three-phase power supply and load balance can be realized, and the safety, stability and flexible operation of the power supply are ensured.
As shown in fig. 4 and 5, the indicator lamp a, the indicator lamp B and the indicator lamp C are components of the power indicator 4, and form a loop with the electric energy meter PW and the power supply; the indicator light A is connected with one port of the electric energy meter PW, and when the power line A is connected, the indicator light A can be lightened to indicate that the power line A is connected normally; the indicator light B is connected with the other port of the electric energy meter PW, and when the power line B is powered on, the indicator light B can be lightened to indicate that the power line B is normally powered on; the indicator light C is connected with a third port of the electric energy meter PW, and when the power line C is powered on, the indicator light C can be lightened to indicate that the power voltage of the power line C is normal; the on/off of the indicator light may indicate the power state of the power lines A, B and C; if the indicator lamp A, the indicator lamp B and the indicator lamp C are all lighted, the power supply is normally connected, and the work is stable; if any one indicator lamp is not on, the corresponding power supply connection or voltage is abnormal, and the power supply is required to be checked and repaired; through the indicator lamps, a user can intuitively know the power supply condition and ensure the normal operation of the circuit
As shown in fig. 4 and 5, the circuit breaker control circuit 5 is used for controlling the on-off state of the circuit, protecting the safe operation of the circuit and the equipment; the power line QF1 is connected to the fuse FU1, when overload or short circuit occurs in the circuit, the fuse FU1 automatically breaks the circuit, so that the circuit or equipment is prevented from being damaged by excessive current, and the safety of the power line A and the equipment connected with the power line A can be ensured; the power line QF3 is connected to the fuse FU2, and also when overload or short circuit occurs in the circuit, the fuse FU2 automatically breaks the circuit to prevent the circuit or equipment from being damaged by excessive current, so that the safety of the power line B and the equipment connected with the power line B can be ensured; the zero line N is used for providing a loop of a circuit and ensuring the normal flow of current; when the circuit is disconnected, the zero line N is also automatically disconnected, so that the complete power failure of the circuit is ensured, and the personal safety is ensured; the circuit breaker control circuit is simple and convenient to install and use, can rapidly detect and recover the on-off state of the circuit, improves the reliability and stability of the circuit, and reduces the occurrence of faults and damages
As shown in fig. 4 and 5, the circuit breaker control circuit 5 includes an intelligent controller 51, an under-voltage trip 52, a brake opening 53, a brake closing 54, an energy storage 55, and a brake closing indication 56; the intelligent controller 51 can detect and monitor the switch state of the circuit breaker in real time, including the open state and the close state, so that an operator can know the working condition of the circuit breaker; through the circuit breaker control loop, the remote operation of the circuit breaker, namely the remote switch circuit breaker, can be realized, and the circuit can be remotely controlled to perform maintenance operation or fault elimination; the circuit breaker control loop can monitor fault conditions in the circuit, such as overcurrent, overload, short circuit and the like, and once a fault is found, the control loop can automatically trigger the circuit breaker to cut off the fault current so as to protect the circuit and related equipment from damage; the circuit breaker control loop monitors the current and the voltage in the circuit, is beneficial to knowing the service condition, the load state and the power supply stability of the circuit, and makes corresponding circuit breaker control decisions according to the monitoring result. A switch SB1 is arranged between the opening 53 and the power line QF 1; a switch SB2 is arranged between the switch-on 54 and the power line QF 2; an indicator light N is connected to the closing indicator 56.
As shown in fig. 4 and 5, the switches SB1 and SB2 function as switches; when the switch SB1 is opened, the disconnecting switch 53 is disconnected with the power line QF1, so that the power line QF1 is isolated from other devices, the influence of the power line QF1 on other devices can be prevented, and the power line QF1 can be conveniently maintained or replaced; when the switch SB1 is turned off, the disconnecting link 53 is reconnected with the power line QF1, and the power line QF1 is restored to the power supply state; when the switch SB2 is opened, the switch 54 is disconnected from the power line QF2, and the power line QF2 is isolated from other devices; when the switch SB2 is closed, the switch-on 54 is reconnected with the power line QF2, and the power line QF2 is restored to the power supply state; by arranging the switches SB1 and SB2, the power supply state of the power lines QF1 and QF2 can be flexibly controlled, the opening and closing operation of the power lines is realized, the safe operation of the power lines can be ensured, and the reliability and the stability of a power system are improved.
It should be noted that the apparatus is an apparatus corresponding to the above method, and all implementation manners in the above method embodiment are applicable to this embodiment, so that the same technical effects can be achieved.
Embodiments of the present invention also provide a computing device comprising: a processor, a memory storing a computer program which, when executed by the processor, performs the method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform a method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware, and that the functions are performed in either hardware or software, depending on the specific application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
Furthermore, it is pointed out that in the device and method of the invention, it is obvious that the components or steps can be decomposed and/or recombined, which are to be regarded as equivalents of the invention. Also, the steps of performing the series of processes described above may naturally be performed in chronological order in the order of description, but are not necessarily performed in chronological order, and some steps may be performed in parallel or independently of each other. It will be appreciated by those of ordinary skill in the art that all or any of the steps or components of the methods and apparatus of the present invention may be implemented in hardware, firmware, software, or a combination thereof in any computing device (including processors, storage media, etc.) or network of computing devices, as would be apparent to one of ordinary skill in the art after reading this description of the invention.
The object of the invention can thus also be achieved by running a program or a set of programs on any computing device. The computing device may be a well-known general purpose device. The object of the invention can thus also be achieved by merely providing a program product containing program code for implementing said method or apparatus. That is, such a program product also constitutes the present invention, and a storage medium storing such a program product also constitutes the present invention. It is apparent that the storage medium may be any known storage medium or any storage medium developed in the future. It is also pointed out that in the device and method of the invention, it is obvious that the components or steps can be decomposed and/or recombined, which are to be regarded as equivalents of the invention. The steps of executing the series of processes may naturally be executed in chronological order in the order described, but are not necessarily executed in chronological order. Some steps may be performed in parallel or independently of each other.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (10)
1. An environment-friendly slag treatment control method, which is characterized by comprising the following steps:
the parameters of crushing and screening are automatically adjusted by analyzing the physical characteristics of the slag and the performance data of crushing equipment so as to crush and screen the slag to obtain slag particles with different granularities;
according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
modeling and optimizing a flotation process, and automatically adjusting parameters of aeration quantity, liquid medicine flow and stirring speed of a flotation machine by predicting formation and breaking processes of flotation foam so as to remove nonferrous metals and rare metals;
calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances;
and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
2. The environmental protection type slag processing control method of claim 1, wherein the automatic adjustment of the parameters of crushing and sieving by analyzing physical characteristics of slag and performance data of the crushing apparatus comprises:
obtaining physical property data from slag by Processing the slag physical characteristic data to obtain an output signal y n Wherein x is n Is the original input data, a 2 ，b 1 ，b 2 Is a coefficient of the filter, n is a time index, and represents the time of data acquisition;
extracting relevant characteristic parameters from physical characteristic data of slag and performance data of crushing equipment;
establishing a mathematical model according to the relation between the physical characteristics of the descriptive slag, the performance of crushing equipment and crushing and screening parameters;
and solving according to the mathematical model to obtain a final parameter value.
3. The environmental protection type slag processing control method of claim 2, wherein solving to obtain a final parameter value according to the mathematical model comprises:
acquiring data of physical properties of slag;
establishing a mathematical model of the physical characteristics of the slag according to the data of the physical characteristics of the slag;
constructing an objective function according to a mathematical model of the physical characteristics of the slag and actual application requirements;
And calculating the fitness value of each particle according to the objective function and the constraint condition, wherein each particle retains the corresponding final position and the final position of the population.
4. The environmental protection type slag treatment control method according to claim 3, wherein calculating the fitness value of each particle according to the objective function and the constraint condition comprises:
by passing through Calculating a composite Fitness value Fitness of the particle, wherein f 2 (x)，…，f n (x) Representing individual objective functions in the mathematical model; w (w) 1 ，…，w n Weight coefficient g representing each objective function i (x) Representing constraint functions in a mathematical model, lambda i A penalty coefficient representing the constraint, x representing the position of the particle in the search space, n being the index.
5. The environmental protection type slag processing control method of claim 4, wherein the adjusting the magnetic field intensity and frequency of the magnetic separator in real time according to the magnetic property and flow rate change of the slag particles comprises:
monitoring magnetic properties of slag particles in real time and flow rate changes of the slag particles;
processing the magnetic characteristics and the flow rate change, and generating corresponding control signals;
according to the magnetic data of the monitored slag particles, the magnetic field intensity of the magnetic separator is adjusted in real time;
And adjusting the magnetic field frequency of the magnetic separator in real time according to the monitored flow data of the slag particles.
6. The environmental protection type slag processing control method of claim 5, wherein the modeling and optimizing the flotation process, and automatically adjusting the aeration amount, the liquid medicine flow and the stirring speed parameters of the flotation machine by predicting the formation and breaking process of the flotation froth, comprises:
acquiring historical data of a flotation process, and cleaning and preprocessing the historical data to obtain preprocessed data;
according to the preprocessing data, a data model is established by utilizing a neural network;
and according to the data model, automatically adjusting the aeration quantity, the liquid medicine flow and the stirring speed of the flotation machine.
7. The environmental protection type slag processing control method of claim 6, wherein the high temperature calcination of the floated slag particles to decompose and solidify the harmful substances comprises:
drying the slag particles subjected to flotation treatment, and screening the dried slag particles;
preheating the calcining equipment, and setting calcining temperature and calcining time parameters according to the components and properties of the slag;
under the set calcination parameters, starting a high-temperature calcination process, keeping the equipment stably running in the calcination process, monitoring the temperature parameters in real time, and stopping heating and gradually cooling the equipment after the set calcination time is reached.
8. An environment-friendly slag treatment control device, characterized by comprising:
the acquisition module is used for automatically adjusting parameters of crushing and screening by analyzing physical characteristics of the slag and performance data of crushing equipment so as to crush and screen the slag to obtain slag particles with different granularities; according to the magnetism and flow change of the slag particles, the magnetic field intensity and frequency of the magnetic separator are adjusted in real time so as to remove ferromagnetic substances in the slag particles;
the processing module is used for modeling and optimizing a flotation process, and automatically adjusting the inflation quantity, the liquid medicine flow and the stirring speed parameters of the flotation machine by predicting the formation and breaking process of flotation foam so as to remove nonferrous metals and rare metals; calcining the slag particles subjected to flotation at high temperature to decompose and solidify harmful substances; and cooling, crushing and screening the calcined slag particles to obtain the recycled aggregate with different particle sizes.
9. A computing device, comprising:
one or more processors;
storage means for storing one or more programs which when executed by the one or more processors cause the one or more processors to implement the method of any of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a program which, when executed by a processor, implements the method according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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