CN110851497A - Method for detecting whether converter oxygen blowing is not ignited - Google Patents
Method for detecting whether converter oxygen blowing is not ignited Download PDFInfo
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- CN110851497A CN110851497A CN201911060556.9A CN201911060556A CN110851497A CN 110851497 A CN110851497 A CN 110851497A CN 201911060556 A CN201911060556 A CN 201911060556A CN 110851497 A CN110851497 A CN 110851497A
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- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 101
- 239000001301 oxygen Substances 0.000 title claims abstract description 101
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 title claims abstract description 100
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000007664 blowing Methods 0.000 title claims abstract description 16
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims abstract description 9
- 239000003546 flue gas Substances 0.000 claims abstract description 7
- 238000007619 statistical method Methods 0.000 claims abstract description 4
- 239000000428 dust Substances 0.000 claims description 5
- 239000007789 gas Substances 0.000 claims description 3
- 238000003723 Smelting Methods 0.000 abstract description 12
- 230000007613 environmental effect Effects 0.000 abstract description 7
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 8
- 238000010304 firing Methods 0.000 description 5
- 229910000831 Steel Inorganic materials 0.000 description 4
- 239000010959 steel Substances 0.000 description 4
- 239000002893 slag Substances 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 229910002091 carbon monoxide Inorganic materials 0.000 description 2
- 239000003034 coal gas Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000002955 isolation Methods 0.000 description 2
- 238000009628 steelmaking Methods 0.000 description 2
- 235000008733 Citrus aurantifolia Nutrition 0.000 description 1
- 235000011941 Tilia x europaea Nutrition 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000004200 deflagration Methods 0.000 description 1
- 238000010892 electric spark Methods 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000004571 lime Substances 0.000 description 1
- 230000003211 malignant effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
- C21C5/28—Manufacture of steel in the converter
- C21C5/30—Regulating or controlling the blowing
-
- C—CHEMISTRY; METALLURGY
- C21—METALLURGY OF IRON
- C21C—PROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
- C21C2300/00—Process aspects
- C21C2300/06—Modeling of the process, e.g. for control purposes; CII
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/25—Process efficiency
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Fuzzy Systems (AREA)
- Organic Chemistry (AREA)
- Metallurgy (AREA)
- Materials Engineering (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Carbon Steel Or Casting Steel Manufacturing (AREA)
Abstract
A method for detecting whether oxygen blown by a converter is not ignited belongs to the technical field of converter smelting. The technical scheme is as follows: storing the oxygen content in the collected flue gas into a database, wherein the data of the database becomes the basic data of trend fitting; fitting the basic data in the database to obtain a standard trend by adopting a big data statistical method; and comparing the change trend of the oxygen content data within 0-90 seconds after the oxygen lance of the converter starts to blow oxygen with the standard trend, and observing whether the deviation is larger than the required deviation range to judge whether the oxygen lance of the converter is blown with oxygen and is on fire. The invention has the beneficial effects that: the result is accurate, the occurrence of safety and environmental protection accidents caused by the fact that oxygen blowing of the converter does not catch fire is effectively avoided, the uncertain problem of manual judgment is solved, and the occurrence of safety and environmental protection accidents is avoided.
Description
Technical Field
The invention relates to a method for detecting whether oxygen blown by a converter is not ignited, and belongs to the technical field of converter smelting.
Background
The converter steelmaking slag-remaining smelting operation method is a basic smelting method adopted by domestic large-scale steel works, and has the advantages that: can improve the metal yield, promote early-stage slag melting, reduce the addition of lime and reduce the smelting cost. However, the amount of slag in the furnace increases due to the slag remaining in a plurality of furnaces, and a large amount of scrap (mainly crushed material) needs to be charged into the furnace in order to reduce iron loss. Because the various residues and the broken scrap steel form a layer of isolation layer on the surface of the molten steel in the furnace, the pressure of the oxygen in the semi-oxygen blow-open type air-blowing mode which is specific to dry dedusting is not enough to blow away the floating isolation layer, so that the oxygen can not contact the molten steel at the lower end, the oxidation reaction can not be generated, and the open blowing ignition is not successful or the ignition is not sufficient. When the furnace is not ignited or is not ignited sufficiently, a large amount of oxygen is accumulated in the furnace, once the furnace is ignited suddenly in the process, carbon monoxide in the furnace is increased rapidly, a large amount of mixed gas (meeting the deflagration condition) of the carbon monoxide and the oxygen enters the electrostatic dust collector, and the mixed gas deflagrates in the dust collector under the action of electric sparks, so that a malignant environment-friendly accident and an equipment accident are formed. At present, whether the converter is on fire or not is judged by steelmaking workers according to experience, but is influenced by aspects such as personal technical level limitation, site environment, firing state (whether full firing or partial firing) and the like, and the condition of partial non-firing or insufficient firing is still judged in time, so that environmental protection accidents and safety accidents are caused.
Disclosure of Invention
The invention aims to provide a method for detecting whether converter oxygen blowing is not on fire, which judges whether the converter oxygen blowing is not on fire through big data and fitting trend, has accurate result, effectively avoids safety and environmental protection accidents caused by the fact that the converter oxygen blowing is not on fire, solves the uncertain problem of manual judgment, and avoids safety and environmental protection accidents.
The technical scheme of the invention is as follows:
a method for detecting whether oxygen blown by a converter is not ignited comprises the steps of installing a coal gas analyzer on a flue at the upper part of an electrostatic dust collector of the converter, and analyzing the oxygen content in flue gas in real time; storing the oxygen content in the collected flue gas into a database, wherein the data of the database becomes the basic data of trend fitting; fitting the basic data in the database to obtain a standard trend by adopting a big data statistical method; and comparing the change trend of the oxygen content data within 0-90 seconds after the oxygen lance of the converter starts to blow oxygen with the standard trend, and observing whether the deviation is larger than the required deviation range to judge whether the oxygen lance of the converter is blown with oxygen and is on fire.
And (3) acquiring real-time oxygen content data within 90 seconds from the moment that an oxygen blowing signal of the converter is sent 0-90 seconds after the oxygen lance starts blowing oxygen, comparing the real-time oxygen content data with the fitted oxygen content trend in the normal ignition state, judging that the oxygen lance is normally ignited if the oxygen lance does not exceed the deviation range, judging that the oxygen lance is not ignited if the oxygen lance exceeds the deviation range, and outputting an alarm.
Through observation and statistics, the converter oxygen lance is blown from the lower lance to the normal ignition completion, the ignition combustion process occurs between 0 and 90 seconds after the blow, and the oxygen content change trend in the time period is very regular and typical, so that the time period of judging whether the converter oxygen lance is on fire or not is within 0 to 90 seconds after the blow.
Through the self-learning function, the acquired data enables the basic data amount to be increased so as to improve the accuracy of the fitting curve on one hand, and reflects the change of the oxygen content trend caused by the change of the process or equipment characteristics in converter smelting on the other hand, so that the accuracy of judging whether the converter is on fire or not is improved along with the change of the judgment standard.
The trend fitting adopts a big data statistical average value, data of each furnace is stored in a database, data volume is continuously accumulated along with smelting of the converter, the sample data volume for trend fitting is increased, the fitted standard trend is closer to reality, and the fitted standard trend is more and more accurate.
The calculation of the deviation adopts big data statistics, the data of each furnace is stored in a database, the data volume is continuously accumulated along with the smelting of the converter, the sample data volume for the deviation calculation is increased, and the calculated deviation is more reasonable.
And drawing an upper limit curve and a lower limit curve according to the upper deviation and the lower deviation, wherein the upper limit curve and the lower limit curve are determined according to an average value curve (a fitted labeled trend curve) and a deviation value:
upper limit curve = mean + deviation value
Lower limit curve = mean-deviation value
And the judgment result is that the oxygen content data at a certain moment is compared with an upper limit curve and a lower limit curve:
and (4) ignition = the upper limit curve is larger than or equal to the oxygen content real-time value is larger than or equal to the lower limit curve, otherwise, the fire is judged to be not ignited.
The invention has the beneficial effects that: whether the converter oxygen blowing is not on fire is judged through big data and fitting trend, the result is accurate, the occurrence of safety and environmental protection accidents caused by the fact that the converter oxygen blowing is not on fire is effectively avoided, the uncertain problem of manual judgment is solved, and the occurrence of safety and environmental protection accidents is avoided.
Drawings
FIG. 1 is a schematic view of an embodiment of the present invention;
FIG. 2 is a schematic diagram of an embodiment of the present invention for determining ignition;
FIG. 3 is a schematic diagram of determining misfire in accordance with an embodiment of the present invention;
in the figure: the method comprises the following steps of a database 1, oxygen analyzer data 2, trend fitting 3, deviation calculation 4, upper and lower limit curve calculation 5, furnace oxygen content trend 6, judgment result 7, upper limit curve 8, lower limit curve 9, oxygen content curve 10 in normal ignition and curve 11 in non-ignition.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings.
A method for detecting whether oxygen blown by a converter is not ignited comprises the steps of installing a coal gas analyzer on a flue at the upper part of an electrostatic dust collector of the converter, and analyzing the oxygen content in flue gas in real time; storing the oxygen content in the collected flue gas into a database, wherein the data of the database becomes the basic data of trend fitting; fitting the basic data in the database to obtain a standard trend by adopting a big data statistical method; and comparing the change trend of the oxygen content data within 0-90 seconds after the oxygen lance of the converter starts to blow oxygen with the standard trend, and observing whether the deviation is larger than the required deviation range to judge whether the oxygen lance of the converter is blown with oxygen and is on fire.
And (3) collecting real-time oxygen content data within 90 seconds from the beginning of the oxygen blowing signal of the converter 0-90 seconds after the oxygen lance starts blowing oxygen, comparing the real-time oxygen content data with the fitted oxygen content trend in the normal ignition state, judging that the oxygen lance is normally ignited if the oxygen lance does not exceed the deviation range, judging that the oxygen lance is not ignited if the oxygen lance exceeds the deviation range, and outputting an alarm.
In the embodiment, the invention mainly comprises a database 1, an oxygen analyzer data acquisition 2, a trend fitting 3, a deviation calculation 4, an upper limit curve and a lower limit curve calculation 5, a furnace oxygen content trend 6, a judgment result 7, an upper limit curve 8, a lower limit curve 9, an oxygen content curve 10 in normal ignition and a curve 11 in non-ignition.
Firstly, building the database 1, selecting a proper server, installing database software on the server, building a database file, designing a table structure meeting data storage, and building a data table.
And collecting and transmitting data 2 of the oxygen analyzer, wherein the data are stored in a database 1 as basic data of the trend fitting 3 on one hand, and are used as real-time data to compare the furnace oxygen content trend 6 with the calculated upper and lower limit curves 5 on the other hand.
If the furnace oxygen content trend 6 is equal to or higher than the lower limit curve 9 and equal to or lower than the upper limit curve 8 at each point, the judgment result 7 is "on fire", otherwise, the judgment result 7 is "off fire".
The trend fitting 3 adopts a big data statistical average value, the original data is the oxygen content data of each furnace before smelting, the data of each furnace is stored in the database 1, the data volume is continuously accumulated along with the smelting of the converter, the sample data volume for trend fitting is increased, and the fitted standard trend is closer to the reality.
The deviation calculation 4 in the method adopts big data statistics, the data of each furnace is stored in the database 1, the data volume is continuously accumulated along with the smelting of the converter, the sample data volume for the deviation calculation is increased, and the calculated deviation is more reasonable.
The method has a self-learning function, when the furnace oxygen content trend 6 is used for judging whether the furnace is on fire or not, the furnace oxygen content trend is stored into the database 1, and the data becomes the basic data of the trend fitting 3. The data increases the basic data quantity so as to improve the accuracy of the fitting curve, and reflects the change of the oxygen content trend caused by the change of the process or equipment property in the converter smelting so as to follow the change of the judgment standard and improve the accuracy of judging whether the furnace is on fire or not.
Claims (5)
1. A method for detecting whether oxygen blown by a converter is not ignited is characterized in that: a gas analyzer is arranged on a flue at the upper part of the electrostatic dust collector of the converter, and the oxygen content in the flue gas is analyzed in real time; storing the oxygen content in the collected flue gas into a database, wherein the data of the database becomes the basic data of trend fitting; fitting the basic data in the database to obtain a standard trend by adopting a big data statistical method; and comparing the change trend of the oxygen content data within 0-90 seconds after the oxygen lance of the converter starts to blow oxygen with the standard trend, and observing whether the deviation is larger than the required deviation range to judge whether the oxygen lance of the converter is blown with oxygen and is on fire.
2. The method for detecting whether oxygen blown into a converter fails to ignite according to claim 1, wherein: and (3) collecting real-time oxygen content data within 90 seconds from the beginning of the oxygen blowing signal of the converter 0-90 seconds after the oxygen lance starts blowing oxygen, comparing the real-time oxygen content data with the fitted oxygen content trend in the normal ignition state, judging that the oxygen lance is normally ignited if the oxygen lance does not exceed the deviation range, judging that the oxygen lance is not ignited if the oxygen lance exceeds the deviation range, and outputting an alarm.
3. The method for detecting whether oxygen blown into a converter fails to ignite according to claim 1 or 2, wherein: the trend fitting adopts a big data statistical average value, and data of each furnace is stored in a database; the deviation is calculated by big data statistics, and data of each furnace is stored in a database.
4. The method for detecting whether oxygen blown into a converter fails to ignite according to claim 1 or 2, wherein: and drawing an upper limit curve and a lower limit curve according to the upper deviation and the lower deviation of the oxygen content data, wherein the upper limit curve and the lower limit curve are determined according to an average value curve (a fitted labeled trend curve) and a deviation value:
upper limit curve = mean + deviation value
Lower limit curve = mean-deviation value.
5. The method for detecting whether oxygen blown into a converter fails to catch fire according to claim 3, wherein: and the judgment result is that the oxygen content data at a certain moment is compared with an upper limit curve and a lower limit curve:
and (4) ignition = the upper limit curve is larger than or equal to the oxygen content real-time value is larger than or equal to the lower limit curve, otherwise, the fire is judged to be not ignited.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911060556.9A CN110851497A (en) | 2019-11-01 | 2019-11-01 | Method for detecting whether converter oxygen blowing is not ignited |
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| CN201911060556.9A CN110851497A (en) | 2019-11-01 | 2019-11-01 | Method for detecting whether converter oxygen blowing is not ignited |
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| CN110851497A true CN110851497A (en) | 2020-02-28 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114672606A (en) * | 2022-03-07 | 2022-06-28 | 阳春新钢铁有限责任公司 | Method for converter to blow and strike fire according to CO volume concentration inclined guidance |
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