CN117520763A - Method for quantitatively judging forward running state of self-adaptive blast furnace condition - Google Patents
Method for quantitatively judging forward running state of self-adaptive blast furnace condition Download PDFInfo
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- CN117520763A CN117520763A CN202311269691.0A CN202311269691A CN117520763A CN 117520763 A CN117520763 A CN 117520763A CN 202311269691 A CN202311269691 A CN 202311269691A CN 117520763 A CN117520763 A CN 117520763A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 58
- 239000003245 coal Substances 0.000 claims abstract description 40
- 229910052742 iron Inorganic materials 0.000 claims abstract description 29
- 239000000463 material Substances 0.000 claims abstract description 28
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims abstract description 16
- 238000002347 injection Methods 0.000 claims abstract description 16
- 239000007924 injection Substances 0.000 claims abstract description 16
- 229910052710 silicon Inorganic materials 0.000 claims abstract description 16
- 239000010703 silicon Substances 0.000 claims abstract description 16
- 229910052717 sulfur Inorganic materials 0.000 claims abstract description 16
- 239000011593 sulfur Substances 0.000 claims abstract description 16
- 238000010009 beating Methods 0.000 claims abstract description 10
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 3
- 239000000446 fuel Substances 0.000 abstract description 4
- 238000003723 Smelting Methods 0.000 abstract description 2
- 238000012821 model calculation Methods 0.000 abstract 1
- 230000008859 change Effects 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000002893 slag Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B5/00—Making pig-iron in the blast furnace
- C21B5/006—Automatically controlling the process
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21B—MANUFACTURE OF IRON OR STEEL
- C21B2300/00—Process aspects
- C21B2300/04—Modeling of the process, e.g. for control purposes; CII
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- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Mathematical Optimization (AREA)
- Evolutionary Biology (AREA)
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- Computational Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Manufacturing & Machinery (AREA)
- Materials Engineering (AREA)
- Evolutionary Computation (AREA)
- Organic Chemistry (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Artificial Intelligence (AREA)
- Algebra (AREA)
- Metallurgy (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Manufacture Of Iron (AREA)
Abstract
The invention particularly relates to a method for quantitatively judging the forward running state of a self-adaptive blast furnace, which belongs to the technical field of blast furnace smelting, and is characterized in that the forward running index model of the blast furnace is built by calculating the standard deviation of five key parameters of silicon and sulfur content, material beating interval time, hot air pressure and coal injection quantity in molten iron, and the forward running index of the blast furnace is calculated by a model calculation formula, so that the interference of human factors on the model is reduced, the model is more objective, can be continuously used without correction when the condition of raw fuel changes, and has self-adaptability.
Description
Technical Field
The invention relates to the technical field of blast furnace ironmaking, in particular to a method for quantitatively judging the forward running state of a self-adaptive blast furnace.
Background
The blast furnace smelting is a complex process of filling normal-temperature raw fuel from the top and discharging liquid slag iron from the bottom, and is a typical black box because the change process of furnace burden in the blast furnace is not visible, so that the indirect inference of the change in the blast furnace is particularly important only by means of monitoring means such as pressure, temperature, air quantity and the like at different positions at present. With the progress of technology, various monitoring is more and more, but how to screen out useful indexes from various detection indexes and use the indexes has no good method, so that different people often draw different conclusions on the running state of the same blast furnace, and great difficulty is brought to the operation of the blast furnace.
Although similar researches are carried out by different people, most of the methods determine a reasonable range for different parameters according to experience, and then calculate a numerical value according to actual conditions and empirical data, but because the blast furnace condition is a dynamic process which is changed continuously along with the change of the condition of the raw fuel, the method can keep the accuracy by continuously correcting along with the change of the external condition.
Disclosure of Invention
The invention aims to screen out key indexes which are convenient to calculate and can objectively reflect the forward running state of the blast furnace from a plurality of detection indexes of the blast furnace, and the forward running index of the current blast furnace is obtained by monitoring and calculating the fluctuation states of different key indexes, so that the forward running state of the current blast furnace is quantitatively judged. The method has the advantages that the reasonable range setting of each key parameter is avoided, the influence of the change of the external conditions on the blast furnace is reflected in the selected key parameters, so that the method is simple and practical, has strong self-adaptive capacity, and can provide guidance for the operation of the blast furnace.
The invention provides a method for quantitatively judging the forward running state of a self-adaptive blast furnace, which sequentially comprises the following steps:
(1) Determining key parameters involved in the calculation of the forward index, wherein the key parameters comprise five key parameters including silicon and sulfur content in molten iron, interval time of charging, hot air pressure and coal injection quantity;
(2) Extracting data, namely respectively extracting data records of the five key parameters in the step 1 for approximately 24 hours;
(3) Data processing, wherein the silicon and sulfur content in molten iron is processed according to each molten iron tank as one data, the material beating interval time is processed according to each batch of ores as one data, the hot air pressure is processed according to an average value calculated per minute, and the coal injection amount is processed according to an average value calculated per hour;
(4) Calculating fluctuation values, and respectively calculating standard deviations of the five groups of data processed in the step 3;
(5) Determining the standard values of the standard deviations of the five key parameters in the step 4 and the duty ratio of the standard deviations in the forward index of the blast furnace, and calculating the forward index of the blast furnace;
the calculation formula of the forward index of the blast furnace is as follows:
S＝δ si label R Si /δ si +δ s mark R s /δ s +δ Material label R Material /δ Material
+δ Wind pressure mark R Wind pressure /δ Wind pressure +δ Coal mark R Coal /δ Coal
Wherein S is the forward index of the blast furnace, delta Si label R is the standard value of the standard deviation of the silicon content of molten iron Si Is the silicon content ratio coefficient delta of molten iron Si Is the actual standard deviation delta of the silicon content of molten iron S Is the standard value of the standard deviation of the sulfur content of molten iron, R S Is the sulfur content ratio coefficient delta of the molten iron S Is the actual standard deviation of the sulfur content of molten iron, delta Material label R is the standard value of standard deviation of interval time of beating Material For the duty cycle of the interval time delta Material For the actual standard deviation of the interval time of the beating, delta Wind pressure mark Is the standard value of the standard deviation of the hot air pressure, R Wind pressure Is the ratio coefficient delta of hot air pressure Wind pressure Is the actual standard deviation of hot air pressure delta Coal mark R is the standard value of the standard deviation of the coal injection quantity Coal For the ratio coefficient delta of the coal injection quantity Coal Is the actual standard deviation of the coal injection quantity.
Preferably, delta Si label The value is 0.08-0.12, R Si The value is 18-22, delta S The value is 0.08-0.12, R S The value is 8-12, delta Material label The value is 0.08-0.12, R Material The value is 23-27, delta Wind pressure mark The value is 0.08-0.12, R Wind pressure The value is 23-27, delta Coal mark The value is 0.10, R Coal The value is 18-22.
Compared with the prior art, the invention has the beneficial effects that:
1. the influence of the change of the external condition and the original fuel condition on the forward running state of the blast furnace can be reflected by five key parameters selected by the invention;
2. the invention adopts the method for calculating the fluctuation of each parameter, avoids the interference of human factors to the greatest extent, and has more objectivity;
3. the invention calculates the fluctuation of the key parameters by adopting the standard deviation, so that the dispersion of the data can be reflected, and the influence of data distortion on a calculation result caused by accidental factors is effectively reduced;
4. when external conditions change, the device can be continuously used without revising the set parameters, and has a self-adaptive function;
5. the data volume that this patent needs is few, and simple calculation is convenient for popularize and copy, and the practicality is stronger.
Drawings
FIG. 1 is a flow chart of a method for quantitatively determining the forward running state of an adaptive blast furnace according to an embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
The embodiment provides a method for quantitatively judging the forward running state of a self-adaptive blast furnace, which sequentially comprises the following steps:
(1) Determining key parameters involved in the calculation of the forward index, wherein the key parameters comprise five key parameters including silicon and sulfur content in molten iron, interval time of charging, hot air pressure and coal injection quantity;
(2) Extracting data, namely respectively extracting data records of the five key parameters in the step 1 for approximately 24 hours;
(3) Data processing, wherein the silicon and sulfur content in molten iron is processed according to each molten iron tank as one data, the material beating interval time is processed according to each batch of ores as one data, the hot air pressure is processed according to an average value calculated per minute, and the coal injection amount is processed according to an average value calculated per hour;
(4) Calculating fluctuation values, and respectively calculating standard deviations of the five groups of data processed in the step 3;
(5) Determining the standard values of the standard deviations of the five key parameters in the step 4 and the duty ratio of the standard deviations in the forward index of the blast furnace, and calculating the forward index of the blast furnace;
the calculation formula of the forward index of the blast furnace is as follows:
S＝δ si label R Si /δ Si +δ S label R S /δ S +δ Material label R Material /δ Material
+δ Wind pressure mark R Wind pressure /δ Wind pressure +δ Coal mark R Coal /δ Coal
Wherein S is the forward index of the blast furnace, delta Si label R is the standard value of the standard deviation of the silicon content of molten iron Si Is the silicon content ratio coefficient delta of molten iron Si Is the actual standard deviation delta of the silicon content of molten iron s Is the standard value of the standard deviation of the sulfur content of molten iron, R s Is the sulfur content ratio coefficient delta of the molten iron S Is the actual standard deviation of the sulfur content of molten iron, delta Material label R is the standard value of standard deviation of interval time of beating Material For the duty cycle of the interval time delta Material For the actual standard deviation of the interval time of the beating, delta Wind pressure mark Is the standard value of the standard deviation of the hot air pressure, R Wind pressure Is the ratio coefficient delta of hot air pressure Wind pressure Is the actual standard deviation of hot air pressure delta Coal mark R is the standard value of the standard deviation of the coal injection quantity Coal For the ratio coefficient delta of the coal injection quantity Coal Is the actual standard deviation of the coal injection quantity.
Preferably, delta Si label The value is 0.08-0.12, R si The value is 18-22, delta s The value is 0.08-0.12, R s The value is 8-12, delta Material label The value is 0.08-0.12, R Material The value is 23-27, delta Wind pressure mark The value is 0.08-0.12, R Wind pressure The value is 23-27, delta Coal mark The value is 0.10, R Coal The value is 18-22.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. The method for quantitatively judging the forward running state of the self-adaptive blast furnace condition is characterized by comprising the following steps in sequence:
(1) Determining key parameters involved in the calculation of the forward index, wherein the key parameters comprise five key parameters including silicon and sulfur content in molten iron, interval time of charging, hot air pressure and coal injection quantity;
(2) Extracting data, namely respectively extracting data records of the five key parameters in the step 1 for approximately 24 hours;
(3) Data processing, wherein the silicon and sulfur content in molten iron is processed according to each molten iron tank as one data, the material beating interval time is processed according to each batch of ores as one data, the hot air pressure is processed according to an average value calculated per minute, and the coal injection amount is processed according to an average value calculated per hour;
(4) Calculating fluctuation values, and respectively calculating standard deviations of the five groups of data processed in the step 3;
(5) Determining the standard values of the standard deviations of the five key parameters in the step 4 and the duty ratio of the standard deviations in the forward index of the blast furnace, and calculating the forward index of the blast furnace;
the calculation formula of the forward index of the blast furnace is as follows:
S＝δ si label R Si /δ Si +δ S label R S /δ S +δ Material label R Material /δ Material +δ Wind pressure mark R Wind pressure /δ Wind pressure +δ Coal mark R Coal /δ Coal
Wherein S is the forward index of the blast furnace, delta Si label R is the standard value of the standard deviation of the silicon content of molten iron Si Is the silicon content ratio coefficient delta of molten iron Si Is the actual standard deviation delta of the silicon content of molten iron S Is the standard value of the standard deviation of the sulfur content of molten iron, R S Is the sulfur content ratio coefficient delta of the molten iron S Is the actual standard deviation of the sulfur content of molten iron, delta Material label R is the standard value of standard deviation of interval time of beating Material For the interval of beatingTime duty factor, delta Material For the actual standard deviation of the interval time of the beating, delta Wind pressure mark Is the standard value of the standard deviation of the hot air pressure, R Wind pressure Is the ratio coefficient delta of hot air pressure Wind pressure Is the actual standard deviation of hot air pressure delta Coal mark R is the standard value of the standard deviation of the coal injection quantity Coal For the ratio coefficient delta of the coal injection quantity Coal Is the actual standard deviation of the coal injection quantity.
2. The method for quantitatively determining the forward running state of the self-adaptive blast furnace according to claim 1, wherein delta is as follows Si label The value is 0.08-0.12, R Si The value is 18-22, delta S The value is 0.08-0.12, R s The value is 8-12, delta Material label The value is 0.08-0.12, R Material The value is 23-27, delta Wind pressure mark The value is 0.08-0.12, R Wind pressure The value is 23-27, delta Coal mark The value is 0.10, R Coal The value is 18-22.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311269691.0A CN117520763A (en) | 2023-09-28 | 2023-09-28 | Method for quantitatively judging forward running state of self-adaptive blast furnace condition |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311269691.0A CN117520763A (en) | 2023-09-28 | 2023-09-28 | Method for quantitatively judging forward running state of self-adaptive blast furnace condition |
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| CN117520763A true CN117520763A (en) | 2024-02-06 |
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| CN202311269691.0A Pending CN117520763A (en) | 2023-09-28 | 2023-09-28 | Method for quantitatively judging forward running state of self-adaptive blast furnace condition |
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- 2023-09-28 CN CN202311269691.0A patent/CN117520763A/en active Pending
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