CN107703743B - Automatic control method for alkalinity of sinter - Google Patents
Automatic control method for alkalinity of sinter Download PDFInfo
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- CN107703743B CN107703743B CN201710833251.1A CN201710833251A CN107703743B CN 107703743 B CN107703743 B CN 107703743B CN 201710833251 A CN201710833251 A CN 201710833251A CN 107703743 B CN107703743 B CN 107703743B
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000004364 calculation method Methods 0.000 claims abstract description 34
- 238000012937 correction Methods 0.000 claims abstract description 31
- 235000019738 Limestone Nutrition 0.000 claims abstract description 4
- 239000006028 limestone Substances 0.000 claims abstract description 4
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N silicon dioxide Inorganic materials O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 28
- 229910052681 coesite Inorganic materials 0.000 claims description 16
- 229910052906 cristobalite Inorganic materials 0.000 claims description 16
- 239000000377 silicon dioxide Substances 0.000 claims description 16
- 229910052682 stishovite Inorganic materials 0.000 claims description 16
- 229910052905 tridymite Inorganic materials 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 4
- XZWYZXLIPXDOLR-UHFFFAOYSA-N metformin Chemical compound CN(C)C(=N)NC(N)=N XZWYZXLIPXDOLR-UHFFFAOYSA-N 0.000 claims description 4
- 238000005245 sintering Methods 0.000 abstract description 11
- 230000000694 effects Effects 0.000 abstract description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 8
- 239000002994 raw material Substances 0.000 description 6
- 238000005457 optimization Methods 0.000 description 5
- 229910052742 iron Inorganic materials 0.000 description 4
- 238000002474 experimental method Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 238000004886 process control Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 235000012239 silicon dioxide Nutrition 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 238000009736 wetting Methods 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
- C22B1/00—Preliminary treatment of ores or scrap
- C22B1/14—Agglomerating; Briquetting; Binding; Granulating
- C22B1/16—Sintering; Agglomerating
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Abstract
The invention discloses an automatic control method for the alkalinity of sinter, which comprises the following steps: when the set alkalinity center line is known, the CaO content Ca calculated according to the batching modelComputingCalculating the flow time to obtain a calculated value of CaO of the predicted sinter; obtaining a correction coefficient J adopted value; obtaining a CaO value of the sinter; obtaining the SiO of the sinter2A numerical value; calculating a central line value which is required to control the CaO of the sinter; calculating a CaO central line which should be obtained by calculating a burdening model; with CaCalculating a median lineAnd CaComputingThe difference between the predicted SiO values of the sintered ore2 calculation ofObtaining a sintering ore alkalinity correction value; and calculating a batching model by changing the alkalinity correction value of the sintered ore, accurately adjusting the limestone proportion and finishing alkalinity adjustment. The method aims to provide an automatic control method for the alkalinity of the sinter, and can solve the problems that manual adjustment is not timely, the manual adjustment depends strongly on personal experience, the adjustment effect is unstable and the like.
Description
Technical Field
The invention belongs to the technical field of iron ore powder sintering, and particularly relates to a method for automatically controlling the alkalinity of a sintered ore.
Background
With the development of the metallurgical industry in China, the blast furnace is continuously developed to be large-scale, and the requirement of the large-scale blast furnace on the quality of the sintered ore is higher and higher. The basicity of the sintered ore (generally expressed by binary basicity in the industry, namely the ratio of the CaO content to the SiO2 content of the sintered ore) is used as an important index for judging the quality of the sintered ore, the primary product rate and the qualification rate of the sintered ore have great influence on the control and the operation of the basicity of blast furnace slag, and the more stable the basicity of the sintered ore, the better the quality of blast furnace molten iron. Therefore, the promotion of the stability rate of the alkalinity of the sinter is significant for improving the quality of the blast furnace molten iron.
The traditional alkalinity control idea is to judge and adjust according to the difference value Δ R between the measured alkalinity and the target alkalinity: firstly, a batch of | delta R |, is more than or equal to 0.05 time, and the alkalinity value and the target value of the batch are taken as the basis for calculation, so as to carry out '1/2' adjustment; secondly, a batch of | delta R |, is more than or equal to 0.03 time, and the alkalinity value and the target value of the batch are taken as the basis for calculation, so that '1/3' adjustment is carried out; thirdly, three continuous batches of absolute value delta R are more than or equal to 0.02 time, and the alkalinity average value and the target value of the three batches are used as the basis for calculation to carry out '1/3' adjustment; fourthly, when four continuous batches of delta R are positive values or negative values, the average value of the alkalinity of the four batches and the target value are used as the basis for calculation, and the adjustment of 1/3 or 1/4 is carried out. Because the factors influencing the alkalinity of the sintered ore are more, such as the factors influenced by the change of the mixture ratio of raw materials, the fluctuation of components, the fluctuation of blanking and the like, the traditional detection method has the problems of untimely adjustment, strong dependence on personal experience, unstable adjustment effect and the like.
Disclosure of Invention
The invention aims to provide an automatic control method for the alkalinity of a sinter, which can solve the problems of untimely manual adjustment, strong dependence on personal experience, unstable adjustment effect and the like.
The automatic control method for the alkalinity of the sinter comprises the following steps:
step S1: when the set alkalinity center line is known, the CaO content Ca calculated according to the batching modelComputingCalculating the flow time to obtain a calculated value of CaO of the predicted sinter;
step S2: obtaining a correction coefficient J according to the sintering ore examination and test condition, judging the difference logical relation of the correction coefficient J to obtain a correction coefficient J adopted value, and using JAdmissionRepresents;
step S3: with CaComputingMultiplying by a correction factor JAdmissionObtaining the CaO value of the actually produced sinter, and using CaAccountingRepresents;
step S4: tracing sinter SiO2The numerical value is calculated by taking a 10-batch averaging method as tracking calculation to obtain the sintered ore SiO for alkalinity calculation2Numerical value, using sinter SiO2 calculation ofRepresents;
step S5: according to sinter SiO2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculating the central line value of CaO in sintered ore, using CaCenter lineRepresents;
step S6: according to CaCenter lineCalculating the corresponding relation of CaO with the batching model, calculating the CaO central line which should be obtained by the batching model, and using CaCalculating a median lineRepresents;
step S7: with CaCalculating a median lineAnd CaComputingThe difference between the predicted SiO values of the sintered ore2 calculation ofObtaining a corrected value of the basicity of the sinter, using RCorrection valueRepresents;
step S8: and calculating a batching model by changing the alkalinity correction value of the sintered ore, accurately adjusting the limestone proportion and finishing alkalinity adjustment.
In the automatic control method for the alkalinity of the sintered ore, in the step S2, the specific method for obtaining the correction coefficient J according to the testing condition of the sintered ore comprises the following steps: j is a sintered ore CaO detection value ÷ a sintered ore predicted CaO estimate value.
In the automatic control method for the basicity of the sintered ore of the present invention, in step S2, the specific method for determining the difference logical relationship of the correction coefficient J includes: repair theThe positive coefficient J is judged to have a difference value of 0.01, and when the difference value is within the range of 0.01, JAdmissionWhen J is equal to J, otherwise J is equal to JAdmission＝J±0.01。
In the automatic control method of the basicity of the sintered ore according to the present invention, in the step S5, the basicity is controlled according to the SiO of the sintered ore2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculation of CaCenter lineThe method comprises the following steps: caCenter line＝SiO2 calculation of×RCenter line。
In the automatic control method of the basicity of the sintered ore according to the present invention, in the step S6, Ca is used as a basisCenter lineCalculating Ca according to the corresponding relation of CaO calculated by the batching modelCalculating a median lineThe method comprises the following steps: caCalculating a median line＝CaCenter line÷JAdmission。
According to the invention, through a large number of experiments, an optimization algorithm is determined, the raw material composition fluctuation, the blanking fluctuation and the process control factors can be self-adapted, the sintering ratio can be accurately adjusted, the automatic adjustment of the alkalinity of the sintered ore is realized, and the control stability rate of the alkalinity of the sintered ore is improved.
The invention will be further explained with reference to the drawings.
Drawings
FIG. 1 is a flow chart of a method for automatically controlling the basicity of sintered ore according to an embodiment of the present invention;
FIG. 2 is a flowchart of a routine for predicting the estimated CaO value of a sintered ore according to an embodiment of the present invention;
fig. 3 is an experimental result of the key algorithm correction coefficient J adoption value optimization algorithm in the embodiment of the present invention.
Detailed Description
As shown in fig. 1 and fig. 2, the automatic control method for the alkalinity of the sintered ore of the present invention is executed by a primary control system composed of a PLC and the like, and comprises the following steps:
step S1: when the set alkalinity center line is known, the CaO content Ca calculated according to the batching modelComputingCalculating the flow time to obtain a calculated value of CaO of the predicted sinter;
step S2: obtaining a correction coefficient J according to the detection and test condition of the sinter, andthe correction coefficient J is used for carrying out difference logical relationship judgment to obtain a correction coefficient J adopted value, and J is usedAdmissionRepresents;
step S3: with CaComputingMultiplying by a correction factor JAdmissionObtaining the CaO value of the actually produced sinter, and using CaAccountingRepresents;
step S4: tracing sinter SiO2The numerical value is calculated by taking a 10-batch averaging method as tracking calculation to obtain the sintered ore SiO for alkalinity calculation2Numerical value, using sinter SiO2 calculation ofRepresents;
step S5: according to sinter SiO2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculating the central line value of CaO in sintered ore, using CaCenter lineRepresents;
step S6: according to CaCenter lineCalculating the corresponding relation of CaO with the batching model, calculating the CaO central line which should be obtained by the batching model, and using CaCalculating a median lineRepresents;
step S7: with CaCalculating a median lineAnd CaComputingThe difference between the predicted SiO values of the sintered ore2 calculation ofObtaining a corrected value of the basicity of the sinter, using RCorrection valueRepresents;
step S8: and calculating a batching model by changing the alkalinity correction value of the sintered ore, accurately adjusting the limestone proportion and finishing alkalinity adjustment.
According to the alkalinity correction condition, chemical components of the sintered ore are determined, the proportion meeting the requirements is calculated according to the chemical contents of the iron-containing raw material, the flux and the fuel, then the raw materials are prepared according to the proportion, after mixing, wetting and granulating, the materials are distributed on a sintering machine, ignited and sintered, and finally the sintered ore finished product is obtained through cooling and screening.
In the automatic control method for the alkalinity of the sintered ore, in the step S2, the specific method for obtaining the correction coefficient J according to the testing condition of the sintered ore comprises the following steps: j is a sintered ore CaO detection value ÷ a sintered ore predicted CaO estimate value.
In the automatic control method for the alkalinity of the sintered ore, in step S2, the correction coefficient J is subjected to differenceThe specific method for judging the logical relationship comprises the following steps: the difference value of 0.01 is judged for the correction coefficient J, and when the difference value is within the range of 0.01, JAdmissionWhen J is equal to J, otherwise J is equal to JAdmission＝J±0.01。
As shown in fig. 3, it is an experimental result of the key algorithm correction coefficient J adopted value optimization algorithm in the embodiment of the present invention.
In the automatic control method of the basicity of the sintered ore according to the present invention, in the step S5, the basicity is controlled according to the SiO of the sintered ore2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculation of CaCenter lineThe method comprises the following steps: caCenter line＝SiO2 calculation of×RCenter line。
In the automatic control method of the basicity of the sintered ore according to the present invention, in the step S6, Ca is used as a basisCenter lineCalculating Ca according to the corresponding relation of CaO calculated by the batching modelCalculating a median lineThe method comprises the following steps: caCalculating a median line＝CaCenter line÷JAdmission。
As shown in FIG. 1, in the step S4, the SiO content of the sintered ore is tracked2The value X is AVERAGE, and the 10-batch averaging method is used as tracking calculation to obtain the sintered ore SiO for alkalinity calculation2Numerical value, using sinter SiO2 calculation ofIs represented by SiO2 calculation ofI.e. equal to the above-mentioned value X, the following table is the key algorithm sinter SiO2And calculating an optimization algorithm experiment result.
According to the invention, through a large number of experiments, an optimization algorithm is determined, the raw material composition fluctuation, the blanking fluctuation and the process control factors can be self-adapted, the sintering ratio can be accurately adjusted, the automatic adjustment of the alkalinity of the sintered ore is realized, and the control stability rate of the alkalinity of the sintered ore is improved.
The invention provides an automatic control method for the alkalinity of a sintering ore from the viewpoints of fuzzy control and self-adaptive adjustment. The invention takes the fuzzy control idea as guidance, and based on the sintering process theory, the invention automatically adjusts and controls the alkalinity of the sintering ore according to the raw material components and the sintering ore components, thereby improving the alkalinity stability rate of the sintering ore.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements of the technical solution of the present invention by those skilled in the art should fall within the protection scope defined by the claims of the present invention without departing from the spirit of the present invention.
Claims (4)
1. An automatic control method for the alkalinity of sinter is characterized by comprising the following steps:
step S1: when the set alkalinity center line is known, the CaO content Ca calculated according to the batching modelComputingCalculating the flow time to obtain a calculated value of CaO of the predicted sinter;
step S2: obtaining a correction coefficient J according to a sintered ore CaO detection test value ÷ the predicted sintered ore CaO calculation value, carrying out difference logical relationship judgment on the correction coefficient J to obtain a correction coefficient J acceptance value, and using J toAdmissionRepresents;
step S3: with CaComputingMultiplying by a correction factor JAdmissionObtaining the CaO value of the actually produced sinter, and using CaAccountingRepresents;
step S4: tracing sinter SiO2The numerical value is calculated by taking a 10-batch averaging method as tracking calculation to obtain the sintered ore SiO for alkalinity calculation2Numerical value, using sinter SiO2 calculation ofRepresents;
step S5: according to sinter SiO2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculating the central line value of CaO in sintered ore, using CaCenter lineRepresents;
step S6: according to CaCenter lineCalculating the corresponding relation of CaO with the batching model, calculating the CaO central line which should be obtained by the batching model, and using CaCalculating a median lineRepresents;
step S7: with CaCalculating a median lineAnd CaComputingThe difference between the predicted SiO values of the sintered ore2 calculation ofObtaining a corrected value of the basicity of the sinter, using RCorrection valueTo represent；
Step S8: and calculating a batching model by changing the alkalinity correction value of the sintered ore, accurately adjusting the limestone proportion and finishing alkalinity adjustment.
2. The method according to claim 1, wherein in step S2, the difference logical relationship determination of the correction coefficient J is performed by: the difference value of 0.01 is judged for the correction coefficient J, and when the difference value is within the range of 0.01, JAdmissionWhen J is equal to J, otherwise J is equal to JAdmission＝J±0.01。
3. The automatic control method of basicity of sintered ore according to claim 2, wherein in step S5, it is performed according to SiO of sintered ore2 calculation ofAnd the line R of the basicity of the sinterCenter lineCalculation of CaCenter lineThe method comprises the following steps: caCenter line＝SiO2 calculation of×RCenter line。
4. The automatic control method of basicity of sintered ore according to claim 3, wherein in said step S6, Ca is used as a basisCenter lineCalculating Ca according to the corresponding relation of CaO calculated by the batching modelCalculating a median lineThe method comprises the following steps: caCalculating a median line＝CaCenter line÷JAdmission。
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| CN110724813B (en) * | 2018-06-29 | 2021-02-19 | 宝山钢铁股份有限公司 | Online adjusting system and method for alkalinity of sinter |
| CN110218862B (en) * | 2019-05-09 | 2020-11-20 | 山东钢铁股份有限公司 | Sintering flux addition adjusting method |
| CN112131527B (en) * | 2020-09-08 | 2024-04-12 | 大同冀东水泥有限责任公司 | Refined ore blending quality control method for limestone mine in cement plant |
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