CN102560143A - Flash smelting method and system for copper - Google Patents
Flash smelting method and system for copper Download PDFInfo
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Abstract
The invention discloses a flash smelting method and system for copper and relates to a copper matter production technology. The flash smelting method and system are used for realizing higher control accuracy in comparison with the prior art, effectively improving the operation rate of a flash furnace and the production stability, stabilizing the grade of copper matte and leading the standard derivation of the copper matte to be reduced as well as increasing the comprehensive recovery rate of smelting. According to the technical scheme of the invention, the flash smelting method comprises a feed-forward data processing step, a feedback data processing step and a technology parameter adjustment step, wherein in the feed-forward data processing step, an initial value of the technology parameter needed for charging amount is worked out according to a planned value of a target parameter; in the feedback data processing step, a measured value of the target parameter of the flash furnace is collector, the measured value and the planned value are calculated and processed, and the compensation dosage of the technology parameter is worked out; in the technology parameter adjustment step, the initial value and the compensation dosage are combined, correction computation is carried out on the technology parameter to obtain a corrected value of the technology parameter; and a control system of the flash furnace implements a charging technology parameter according to the corrected value. The flash smelting method is mainly used for producing and purifying the copper matte, i.e. an intermediate product in copper refining.
Description
Technical field
The present invention relates to a kind of matte production technology.
Background technology
Flash stove melting technology is that dried furnace charge is sprayed in the flash furnace reaction tower through concentrate burner and oxygen-rich air; Utilize the oxidation reaction heat and the completion of heavy oil combustion formation high temperature of iron in the concentrate, sulphur to make the sulphur process, the matte that obtains separates in settling tank with slag.The reaction tower of flash stove is that flash smelting is carried out the high-temperature physics chemical reaction and accomplished the place of making the sulphur process basically, and gas has directly reflected the variation tendency of internal physical chemical reaction situation and tower wall hanging slag in the distribution of inner wall surface thereof temperature and the tower.It is a significant parameter of judging the flash stove condition of production.Owing in the tower gas, three kinds of media of solid, liquid are arranged; Be high temperature, extensive chemical corrosive environment; So the online detection means of short of reliable, the site operation personnel generally with the temperature and the artificial experience of the outside several points of furnace wall outer surface, judges roughly situation in the stove.
The melting of flash stove with links such as the reaction tower temperature of concentrate burner ability, gas blower ability, oxygenerator ability, gas treatment ability, boiler using waste slag ability and processing requirement, settling tank temperature, funnel uptake exhaust gas volumns as constraint condition; Set up flash stove working of a furnace model, can under the prerequisite that improves treatment capacity, effectively regulate the slag type of copper matte regulus grade, air blast oxygen-rich concentration, slag.
At present; The main mathematical model of copper flash all is based on the empirical model (also can be described as identification model) of actual production data, and through gathering a large amount of actual production data, maintenance data excavates principle; Data are analyzed, thereby disclosed the corresponding relation of IO.Wherein most representative is regression model and neural network model.
Because empirical model does not relate to the inner principle of process, so its modeling process ratio is easier to, its anastomose property and suitability depend on the size and the distribution situation of sample space.For flash smelting process, the sampled data that from actual production, obtain wide variation is very difficult, and often very unrealistic, and the result causes its range of application to be restricted.Cause main three general objective parameters (the iron silicon ratio Fe/SiO2 in matte grade, the slag, the matte temperature) control accuracy of flash stove production requirement control not reach the requirement of production control.
In existing patented technology; As number of patent application be 200810031808.0, to be called " a kind of intelligent integrated modelling approach of judging based on operating mode ", open date be the open application documents on January 28th, 2009 to name; Thereby it has put down in writing a kind of technical scheme of coordinating finally to be predicted the outcome through the output result to mechanism model and fuzzy neural network model; This technical scheme still relies on fuzzy neural network model; In view of above-mentioned analysis, because the restriction of the sample database of fuzzy neuron network model, so still there is the unfavorable problem of above-mentioned control accuracy in it.
Summary of the invention
First technical problem to be solved by this invention is: a kind of production control method of copper flash smelting is provided, in order to realize the control accuracy higher than prior art.
Second technical problem to be solved by this invention is: a kind of copper flash smelting production optimization system is provided, in order to realize the control accuracy higher than prior art.
In order to solve first above-mentioned technical problem, the present invention proposes a kind of method of copper flash smelting, and it comprises:
Feedforward data processed steps: according to the planned value of target parameter; Calculate the initial value of the required experimental parameter of furnace charge amount of coming in and going out; Wherein, target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount;
Feedback data processed steps: collect the measured value of the target parameter of flash stove, above-mentioned measured value and planned value are carried out computing, calculate the compensation rate of experimental parameter;
The step of experimental parameter adjustment: above-mentioned initial value is combined with compensation rate, experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
Preferably:,, obtain the initial value of said silica sand according to material composition and mass conservation law according to the planned value of Fe/SiO2 and total furnace charge amount.Material composition mainly is copper, sulphur, iron, lead, zinc, calcium, magnesium, oxygen and silicon and reaction intermediate phase thereof,
Preferably: the initial value of the heavy oil amount that the total heat of foundation input flash stove and reaction heat sum are obtained input.
In order to solve second above-mentioned technical problem, the present invention proposes a kind of copper flash smelting system, comprising:
The feedforward data treatment unit; It is used for the planned value according to target parameter, calculates the initial value of the required experimental parameter of furnace charge amount of coming in and going out, wherein; Target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount;
It is characterized in that also comprising:
The feedback data treatment unit, the measured value that it is used to collect the target parameter of flash stove carries out computing with above-mentioned measured value and planned value, calculates the compensation rate of experimental parameter, and compensation rate is passed to the experimental parameter setting device;
The experimental parameter setting device; It receives the data from said feedforward data treatment unit and feedback data treatment unit; It is used for said initial value is combined with said compensation rate; Experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
Beneficial effect of the present invention:
Compare the forecasting techniques and the effect of the system of prior art, the present invention is based on material balance and thermal equilibrium, adopt the polyphase equilibrium method of calculation to find the solution the smelted product composition that respectively balances each other.
Copper flash smelting optimal control system model of the present invention adopts " feedforward compensation-feedback modifiers " mode, can reach high control precision to the following main three general objective parameters of flash stove production requirement control:
1, matte grade control accuracy
Bring up to target value ± 1.5% (mode of regulating the matte grade through the oxygen amount in the controlled oxidation reaction has been adopted in the melting of flash stove) by former target value ± 10%;
2, Fe/SiO2 compares control accuracy in the slag
Bring up to target value ± 0.05 (mode of regulating the Fe/SiO2 ratio of slag with silica sand has been adopted in the melting of flash stove) by former controlled target value ± 0.2;
3, matte temperature control precision
Bring up to 1215 ℃ ± 15 ℃ (melting of flash stove has been adopted to regulate combusting heavy oil amount or normal temperature air quantity/pure oxygen amount ratio, takes away heat of reaction with normal temperature wind, reaches the matte temperature controlling mode of regulating) by former 1215 ℃ ± 35 ℃;
Close combined process of the present invention and production practice; Industrial automation project in the past is the complete and system integration of robot emphatically often; Must submit to the basic demand of technology and ignored control, so often cause robot control system(RCS) just to rest on data gathering and the simple control aspect.The present invention is to rely on actual technical process, effectively to improve the stability of flash stove operating rate and production, to stablize the matte grade its standard deviation is reduced more than 50%, to improve and smelt comprehensive recovery more than 0.5%.
Description of drawings
Fig. 1 is the structured flowchart of system of the present invention.
Fig. 2 is a system model control block diagram of the present invention.
Embodiment
The present invention proposes a kind of method of copper flash smelting, and it comprises:
Feedforward data processed steps: according to the planned value of target parameter; Calculate the initial value of the required experimental parameter of furnace charge amount of coming in and going out; Wherein, target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount;
Feedback data processed steps: collect the measured value of the target parameter of flash stove, above-mentioned measured value and planned value are carried out computing, calculate the compensation rate of experimental parameter;
The step of experimental parameter adjustment: above-mentioned initial value is combined with compensation rate, experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
Referring to shown in Figure 1, the present invention proposes a kind of copper flash smelting system, comprising:
The feedforward data treatment unit; It is used for the planned value according to target parameter, calculates the initial value of the required experimental parameter of furnace charge amount of coming in and going out, wherein; Target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount; Going into furnace charge can be: copper ore concentrates, slag concentrate, indefinite material, silicic acid ore deposit, converter cigarette ash, converter boiler smoke, dry cigarette ash, boiler smoke, the electricity cigarette ash that gathers dust, and its major ingredient is elements such as copper, sulphur, iron, lead, zinc, calcium, magnesium, oxygen and silicon;
The feedback data treatment unit, the measured value that it is used to collect the target parameter of flash stove carries out computing with above-mentioned measured value and planned value, calculates the compensation rate of experimental parameter, and compensation rate is passed to the experimental parameter setting device;
The experimental parameter setting device; It receives the data from said feedforward data treatment unit and feedback data treatment unit; It is used for said initial value is combined with said compensation rate; Experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
Fig. 2 is a system model control block diagram of the present invention.
This mathematics Model Calculation all is the equation with many unknowns group of forming according to from the data of producing and planning; Material balance and heat calculation according to the actual production technology controlling and process; Obtain the controlling valu of iron silicon ratio in matte grade, matte temperature, the slag through equation solution; And the correction of oxygen enrichment wind, heavy oil, batching, and adopt the DCS system (dispersing control system) of fusion process to connect and carry out.
For the computingmachine of realizing this mathematics model to the copper flash smelting controlled on-line, keep fusion process and carry out according to schedule, system's main technologic parameters steering logic is as shown in Figure 2.
Associated adjustment amount set(ting)value: V1, V2, V3 are set at silica sand amount, heavy oil amount and wind oxygen amount respectively.
The compensation rate of associated adjustment amount: Δ V1, Δ V2, Δ V3 are set at the compensation rate of silica sand amount, the compensation rate of heavy oil amount and the compensation rate of wind oxygen amount respectively.
Block diagram is mainly explained as follows:
Feed forward models: be used for the variation of copper flash external conditions is handled; In fact; Feed forward models is exactly the calculating that does not add the actual correction amount at this moment; Its task is according to given parameter, index, as goes into stove material composition, concentrate input amount, plan iron silicon ratio, plan matte grade, plan matte temperature etc., calculates processing parameters such as reaction tower silica sand amount, heavy oil amount, wind oxygen amount.
Feedback model: according to the deviation of target component in the copper flash (slag iron silicon ratio, matte grade, matte temperature) with planned value; Take all factors into consideration the mutual coupling relation between each variable; Adopt corresponding adjustment algorithm; The modified value of compute adjustment parameters finally makes target component be stabilized in the permissible variation scope.
The copper flash smelting of Fig. 2 of the present invention is kept weighing apparatus mathematical model optimizing system main thought and is comprised (material balance, thermal equilibrium):
According to Fe/SiO2 target value in the slag, and drop into the composition total amount according to copper flash and accomplish back output total amount material with reaction and keep the weighing apparatus law, obtain the silica sand proportioning when preparing burden.
According to the actual Fe/SiO2 composition inspection of output slag, the quartzy proportioning correction when preparing burden.
According to the target matte grade of producing, and accomplish back output total amount according to the copper flash smelting reaction and keep weighing apparatus, obtain reaction tower technology wind, the technology oxygen amount of input with input technology wind, technology oxygen total amount.
According to reaction tower total heat input+reaction heat=total quantity of heat given up, obtain input heavy oil amount, to reach the control of matte temperature.
The main core calculations that this mathematical model relates to is following:
1. the MB1 material balance is calculated: be used for slag Fe/SiO2 control, ask the silica sand amount according to dosage and composition.
2. the MB2 material balance is calculated: known silica sand amount, the inventory of packing into and composition are asked output matte, the quantity of slag, for thermal equilibrium HB (following HB1 and HB2) provides basic data.
3. the MB3 material balance is calculated: according to the thing amount composition of packing into, reaction tower wind, oily actually operating value, ask one hour and produce matte amount and matte grade.
4. the MB4 material balance is calculated: input slag analytical value, use the MB3 little MV of N in the past, and ask output matte amount, the quantity of slag.
5. HB1 heat calculation: ask each several part heavy oil amount or air quantity, oxygen amount according to the material balance calculation result data.
6. HB2 heat calculation:, ask the each several part flue-gas temperature according to the actually operating data.
7. the L/C adjustment is calculated: under the normal situation of stove shape production, and the calculating of the relevant correction of adjustment.
8. reaction tower calculation of Heat Load:, obtain the actual thermal load of reaction tower according to heat calculation.
9. compound assumed calculation:, related compound in the reaction process is carried out quantitative Analysis according to metallurgical principles.
According to pattern layout of the present invention, the whole software system is divided into five layers by service logic: commercial support programs (base layer support layer), data supporting layer, application supporting layer, core business layer and UI Access Layer, and each layer specifically describes as follows:
1. base layer support layer
The base layer support layer is the shoring of foundation platform of total system, is made up of os, duplex software and DB;
2. data supporting layer
The data supporting layer is the data platform of total system, and data platform comprises fixed cycle data, indefinite period data, analysis data, constant, coefficient, warning, daily record and DCS data;
3. application supporting layer
Using supporting layer is that the core business layer is used supporting platform, mainly contains system call and constitutes, be responsible for core business layer module startup, stop etc.;
4. core business layer
The core business layer is the major portion of native system, accomplishes the core business function of total system, comprises real time print, with the DCS data communication; With the data communication of assay equipment, data pre-treatment, Fe/SiO2 controlled on-line in the slag; Matte grade, matte temperature, L/C adjusts calculating, the reaction tower calculation of Heat Load; Output matte fixed cycle calculates, and metal balance calculates, heat calculation and basic calculation model;
5. UI Access Layer
The UI Access Layer is the man-machine interface of native system, comprises operation interface and system management interface, and wherein operation interface comprises that operation screen, comprehensive inquiry and warning show in real time; System management interface comprises management of process etc.
Claims (4)
1. the method for a copper flash smelting, it comprises:
Feedforward data processed steps: according to the planned value of target parameter; Calculate the initial value of the required experimental parameter of furnace charge amount of coming in and going out; Wherein, target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount;
Feedback data processed steps: collect the measured value of the target parameter of flash stove, above-mentioned measured value and planned value are carried out computing, calculate the compensation rate of experimental parameter;
The step of experimental parameter adjustment: above-mentioned initial value is combined with compensation rate, experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
2. the method for copper flash smelting according to claim 1 is characterized in that: according to the planned value of Fe/SiO2 and total furnace charge amount, according to material composition and mass conservation law, obtain the initial value of said silica sand.
3. the method for copper flash smelting according to claim 1 is characterized in that: the initial value of the heavy oil amount that the total heat of foundation input flash stove and reaction heat sum are obtained input.
4. copper flash smelting system comprises:
The feedforward data treatment unit; It is used for the planned value according to target parameter, calculates the initial value of the required experimental parameter of furnace charge amount of coming in and going out, wherein; Target parameter comprises iron silicon ratio (Fe/SiO2), matte grade and matte temperature, and experimental parameter comprises silica sand amount, heavy oil amount and wind oxygen amount;
It is characterized in that also comprising:
The feedback data treatment unit, the measured value that it is used to collect the target parameter of flash stove carries out computing with above-mentioned measured value and planned value, calculates the compensation rate of experimental parameter, and compensation rate is passed to the experimental parameter setting device;
The experimental parameter setting device; It receives the data from said feedforward data treatment unit and feedback data treatment unit; It is used for said initial value is combined with said compensation rate; Experimental parameter is carried out corrected Calculation, obtain the modified value of experimental parameter, the system of flash stove is implemented the parameter of planting into furnaceman according to above-mentioned modified value.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105624425A (en) * | 2014-11-05 | 2016-06-01 | 中国科学院沈阳自动化研究所 | Intelligent control method of oxygen bottom blowing copper smelting process |
| CN105779785A (en) * | 2016-04-20 | 2016-07-20 | 江西铜业股份有限公司 | Method for realizing one-key stop of flash furnace |
| CN106156427A (en) * | 2016-07-06 | 2016-11-23 | 中南大学 | Flash refining lead process polyphase equilibrium computational methods |
| CN106232841A (en) * | 2014-10-10 | 2016-12-14 | 气体产品与化学公司 | Control the system and method for copper melting furnace |
| CN107764057A (en) * | 2017-10-18 | 2018-03-06 | 宁国市开源电力耐磨材料有限公司 | A kind of middle frequency furnace energy-conservation Melting control system and control method |
| CN108941496A (en) * | 2017-05-17 | 2018-12-07 | 上海梅山钢铁股份有限公司 | Steel-making continuous casting procedure quality real-time tracking and control system and method |
| CN111650904A (en) * | 2020-05-27 | 2020-09-11 | 紫金铜业有限公司 | Construction and application of digital-analog control system of purple gold flash furnace |
| CN112083694A (en) * | 2020-07-30 | 2020-12-15 | 中国恩菲工程技术有限公司 | Feedback control method and device for oxygen bottom blowing copper converting process and electronic equipment |
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| CN106232841A (en) * | 2014-10-10 | 2016-12-14 | 气体产品与化学公司 | Control the system and method for copper melting furnace |
| US9873926B2 (en) | 2014-10-10 | 2018-01-23 | Air Products And Chemicals, Inc. | System and method for control of a copper melting furnace |
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| CN105624425A (en) * | 2014-11-05 | 2016-06-01 | 中国科学院沈阳自动化研究所 | Intelligent control method of oxygen bottom blowing copper smelting process |
| CN105624425B (en) * | 2014-11-05 | 2017-09-22 | 中国科学院沈阳自动化研究所 | A kind of oxygen bottom blowing copper weld pool Intelligent Process Control method |
| CN105779785A (en) * | 2016-04-20 | 2016-07-20 | 江西铜业股份有限公司 | Method for realizing one-key stop of flash furnace |
| CN106156427A (en) * | 2016-07-06 | 2016-11-23 | 中南大学 | Flash refining lead process polyphase equilibrium computational methods |
| CN106156427B (en) * | 2016-07-06 | 2020-04-17 | 中南大学 | Multiphase balance calculation method in flash lead smelting process |
| CN108941496A (en) * | 2017-05-17 | 2018-12-07 | 上海梅山钢铁股份有限公司 | Steel-making continuous casting procedure quality real-time tracking and control system and method |
| CN107764057A (en) * | 2017-10-18 | 2018-03-06 | 宁国市开源电力耐磨材料有限公司 | A kind of middle frequency furnace energy-conservation Melting control system and control method |
| CN111650904A (en) * | 2020-05-27 | 2020-09-11 | 紫金铜业有限公司 | Construction and application of digital-analog control system of purple gold flash furnace |
| CN112083694A (en) * | 2020-07-30 | 2020-12-15 | 中国恩菲工程技术有限公司 | Feedback control method and device for oxygen bottom blowing copper converting process and electronic equipment |
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Application publication date: 20120711 |