CN116083677A - Method and system for controlling converter converting based on CO content curve - Google Patents

Abstract

The application discloses a method and a system for controlling converter converting based on a CO content curve, wherein the method comprises the steps of firstly establishing a historical converter database and collecting original data corresponding to a current converter entering condition; generating an actual CO content curve of the current heat according to the original data corresponding to the current heat entering condition; adding the current furnace entry conditions and the corresponding original data thereof into a historical furnace time database, and calculating to obtain a CO content fitting curve library and corresponding confidence intervals under various types of furnace entry conditions by adopting a big data regression analysis method; determining a CO content fitting curve which is the same type as the current furnace charging condition from the CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace time; in the converter blowing process under the current furnace-entering condition, the actual CO content curve and the target CO content curve at the current moment are compared in real time, and the carbon-oxygen reaction speed is controlled. The accuracy of converter converting control can be effectively improved through the method and the device.

Description

Method and system for controlling converter converting based on CO content curve

Technical Field

The application relates to the technical field of metallurgical converter control, in particular to a method and a system for converter converting control based on a CO content curve.

Background

Decarburization is a central problem in the steelmaking process, and is a main reaction throughout the steelmaking process, and the decarburization generates a large amount of CO gas, namely, a main component of converter flue gas. The upward floating CO gas is favorable for removing gas and impurities in steel, and in an oxygen converter, the non-uniformity of the CO gas is removed, so that the method is a reference basis for measuring the operation stability of splash, dry return and the like in the blowing process. Therefore, how to conduct operation guidance of converter blowing according to CO gas is an important technical problem.

The current method for guiding the converting operation of the converter according to the CO gas is generally as follows: and detecting smoke by a gas analyzer on a dust removal pipeline behind the primary dust removal fan, obtaining a smoke analysis result, and guiding converter converting operation according to the smoke analysis result.

However, in the current method for guiding the converter blowing operation according to the CO gas, as a gas analyzer is adopted, the converter flue gas is separated from the converter outlet by a certain distance from the flue and the dust removal pipeline to the gas analyzer, and the transmission of the converter flue gas needs a certain time, the obtained flue gas analysis result is delayed, and generally the flue gas analysis result is delayed by about 60-90 seconds compared with the actual time, so that the accuracy of the flue gas analysis result on the converter control is not high enough, and finally the efficiency of the converter blowing operation is not high enough.

Disclosure of Invention

The application provides a method and a system for converter converting control based on a CO content curve, which are used for solving the problem that the accuracy of converter control is not high enough in the method in the prior art.

In order to solve the technical problems, the embodiment of the application discloses the following technical scheme:

a method of converter converting control based on a CO content profile, the method being for a converter converting process of steelmaking, the method comprising:

establishing a historical furnace time database according to the furnace entry conditions of the historical furnace times;

according to the current furnace charging condition, collecting original data corresponding to the current furnace charging condition;

generating an actual CO content curve of the current heat according to the original data corresponding to the current heat entering condition;

adding the current furnace entry conditions and the corresponding original data thereof into a historical furnace time database, and calculating a CO content fitting curve library under various types of furnace entry conditions and corresponding confidence intervals by adopting a big data regression analysis method, wherein the CO content fitting curve library comprises CO content fitting curves corresponding to various types of furnace entry conditions, and confidence upper limits and confidence lower limits are arranged in the confidence intervals;

determining a CO content fitting curve which is the same type as the current furnace charging condition from the CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace time;

in the converter blowing process under the current charging condition, comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time;

if the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve, the current carbon-oxygen reaction speed is restrained;

if the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve, promoting the current carbon-oxygen reaction speed;

and if the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve, maintaining the current carbon-oxygen reaction speed.

Optionally, the types of the charging conditions include: molten iron conditions, scrap steel conditions, slag forming auxiliary materials conditions, target steel grade conditions and furnace charging molten iron ratio conditions.

Optionally, the molten iron condition includes: molten iron composition, molten iron temperature and molten iron weight; the scrap steel conditions include: the type of scrap steel, the weight of various types of scrap steel and the weight ratio of various types of scrap steel; the slagging auxiliary material conditions comprise: the type of the slag former, the addition amount of the slag former, the type of the coolant and the addition amount of the coolant; the target steel grade comprises: the name of the target steel grade and the slag forming PH value required by the target steel grade.

Optionally, the CO content fitting curve is drawn according to a furnace charging condition, a converting time, a converting period, a gun position control and a charging time, and the converting period includes: a front blowing period, a middle blowing period, a rear blowing period and a rear stirring period.

Optionally, the method for inhibiting the current carbon-oxygen reaction speed comprises the following steps: the position of the converting gun is lowered, or a cooling agent is added.

Optionally, the method for promoting the current carbon-oxygen reaction speed comprises the following steps: the position of the converting gun is improved, the oxygen flow is reduced, or a converter slag melting agent is added.

A system for converter converting control based on a CO content profile, the system comprising:

the history furnace time database building module is used for building a history furnace time database according to the furnace entry conditions of the history furnace time;

the data acquisition module is used for acquiring original data corresponding to the current furnace entry condition according to the current furnace entry condition;

the actual CO content curve generating module is used for generating an actual CO content curve of the current furnace time according to the original data corresponding to the current furnace entry condition;

the fitting curve generating module is used for adding the current furnace entry conditions and the corresponding original data thereof into the historical furnace time database, calculating a CO content fitting curve library under various types of furnace entry conditions and corresponding confidence intervals by adopting a big data regression analysis method, wherein the CO content fitting curve library comprises CO content fitting curves corresponding to various types of furnace entry conditions, the confidence intervals are provided with confidence upper limits and confidence lower limits, and the furnace entry conditions comprise: molten iron conditions, scrap steel conditions, slag forming auxiliary material conditions, target steel grade conditions and furnace charging molten iron ratio conditions;

the target CO content curve generating module is used for determining a CO content fitting curve which is the same as the current furnace charging condition from the CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace charging time;

the comparison module is used for comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time in the converter blowing process under the current furnace entering condition;

the control module is used for inhibiting the current carbon-oxygen reaction speed when the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve and promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve and maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

Optionally, the control module includes:

the suppression unit is used for suppressing the current carbon-oxygen reaction speed when the actual CO content at the current moment is greater than the confidence upper limit of the corresponding moment in the target CO content curve;

the promoting unit is used for promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve;

the maintaining unit is used for maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:

the method comprises the steps of firstly establishing a historical furnace time database, collecting original data of current furnace entering conditions, then adding current furnace entering conditions and the corresponding original data into the historical furnace time database, calculating a CO content fitting curve library and corresponding confidence intervals under various types of furnace entering conditions by adopting a big data regression analysis method, and simultaneously, generating an actual CO content curve of the current furnace according to the original data corresponding to the current furnace entering conditions. And determining a CO content fitting curve which is the same type as the current furnace entry condition from a CO content historical data fitting curve library, and defining the CO content fitting curve as a target CO content curve. And finally, determining whether to inhibit the carbon-oxygen reaction speed, promote the carbon-oxygen reaction speed or maintain the carbon-oxygen reaction speed according to the content comparison result of the actual CO content at the current moment and the corresponding moment in the target CO content curve, namely controlling the converting of the converter. According to the embodiment, through collecting the historical heat database and the original data under the current furnace entering condition, the data volume covered by the drawn CO content fitting curve library is large enough, so that effective guidance can be provided for subsequent converter operation, and the accuracy of converter converting control is improved. In addition, the CO content fitting curve library drawn in the embodiment is classified according to various furnace entry conditions, so that the data collected later can be classified and put into storage according to the furnace entry conditions, the CO content fitting curve drawing efficiency is improved, and the converter converting control efficiency is improved. In this embodiment, a confidence interval is set, so that the actual CO content at the current moment is compared with the confidence upper limit and the confidence lower limit, and further, the converter converting is controlled more accurately.

In addition, by the converter blowing control method in the embodiment, the current time confidence interval and the current time actual CO content can be compared in real time, compared with the prior art, no long-time hysteresis exists, and when deviation occurs, the converter blowing control method can be adjusted in time, so that the accuracy and timeliness of converter control can be greatly improved. Meanwhile, the converter blowing control is carried out by adopting the method of the CO content curve, enough historical data are accumulated, the trend of the CO content curve in the flue gas can be prejudged, the stability of the converter blowing control is improved, and the production efficiency is improved.

The application also provides a system for controlling converter converting based on a CO content curve, which mainly comprises: the device comprises a historical furnace time database building module, a data acquisition module, an actual CO content curve generating module, a fitting curve generating module, a target CO content curve generating module, a comparison module and a control module. The method comprises the steps that historical heat data and original data corresponding to current heat entering conditions can be obtained through a historical heat database building module and a data acquisition module, and then a fitting curve generating module is used for drawing a fitting curve library of the CO content under various heat entering conditions and corresponding confidence intervals. The actual CO content curve generating module and the target CO content curve generating module are used for respectively determining the actual CO content curve of the current furnace number and the target CO content curve of the current furnace number, and the confidence interval of the corresponding time in the actual CO content and the target CO content curve at the current time is compared by the comparison module, so that the carbon-oxygen reaction speed is controlled, and the converting operation of the converter is accurately controlled. Because the confidence interval of the corresponding time in the curve of the actual CO content and the target CO content at the current time is compared in real time in the embodiment, the control of the converter converting operation is very timely, and the accuracy and the reliability of the converter converting operation are further improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.

Fig. 1 is a schematic flow chart of a method for controlling converter converting based on a CO content curve according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a system for controlling converter blowing based on a CO content curve according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions in the present application, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.

For a better understanding of the present application, embodiments of the present application are explained in detail below with reference to the drawings.

Example 1

Referring to fig. 1, fig. 1 is a schematic flow chart of a method for controlling converter converting based on a CO content curve according to an embodiment of the present application. As can be seen from fig. 1, the method for controlling converter converting based on the CO content curve in this embodiment mainly includes the following steps:

s1: and establishing a historical furnace times database according to the furnace entry conditions of the historical furnace times.

The charging conditions in this embodiment include, but are not limited to, the following five types: molten iron conditions, scrap steel conditions, slag forming auxiliary materials conditions, target steel grade conditions and furnace charging molten iron ratio conditions.

Wherein, the molten iron conditions include: molten iron composition, molten iron temperature and molten iron weight; the scrap steel conditions include: the type of scrap steel, the weight of various types of scrap steel and the weight ratio of various types of scrap steel; the slag-making auxiliary material conditions include: the type of the slag former, the addition amount of the slag former, the type of the coolant and the addition amount of the coolant; the target steel grade comprises: the name of the target steel grade and the slag forming PH value required by the target steel grade.

S2: and acquiring original data corresponding to the current furnace entry condition according to the current furnace entry condition.

S3: and generating an actual CO content curve of the current heat according to the original data corresponding to the current heat entering condition.

S4: and adding the current furnace entry conditions and the corresponding original data thereof into a historical furnace time database, and calculating to obtain a CO content fitting curve library and corresponding confidence intervals under various types of furnace entry conditions by adopting a big data regression analysis method. The CO content fitting curve library comprises CO content fitting curves corresponding to various furnace entering conditions, and a confidence upper limit and a confidence lower limit are arranged in a confidence interval.

As can be seen from steps S2-S4, in this embodiment, raw data such as the furnace charging conditions of the historical furnace are collected, the current furnace charging conditions and the raw data corresponding to the current furnace charging conditions are added to the historical furnace charging database, classification is performed according to similar conditions, and the CO content curves corresponding to each type of furnace charging conditions are fitted, so that a CO content fitting curve under the conditions of the type is finally obtained. In the converter converting process, the CO content and the curve trend corresponding to any moment on a curve time axis can be fitted according to the CO content to be referenced, and the actual CO content of the furnace number can be pre-judged and adjusted, so that the converter converting stability is improved.

In this embodiment, the CO content fitting curve is drawn according to a furnace charging condition, a converting time, a gun position control and a charging time, wherein the converting time includes: a front blowing period, a middle blowing period, a rear blowing period and a rear stirring period. That is, the CO content fitting curve in this embodiment can be provided in combination with different factors, so as to guide converter converting.

S5: and determining a CO content fitting curve which is the same as the current furnace charging condition from a CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace charging time.

With continued reference to fig. 1, after determining the actual CO content curve and the target CO content curve of the current heat, step S6 is performed: in the converter blowing process under the current charging condition, comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time.

I.e. comparing the actual CO content curve of the current heat in real time with the target CO content curve.

Carbon-oxygen indirect reaction in converter blowing process: [C] the + (FeO) = { CO } + [ Fe ] is an endothermic reaction, and the reaction rate is affected by the combination of the carbon content of the molten pool, the (TFe) content in the slag and the temperature. For operational reasons, the molten pool is suddenly cooled, such as adding slag forming materials with lower temperature, and the like, so that the carbon-oxygen reaction which is proceeding vigorously is inhibited; the oxygen fed generates a large amount (FeO) and accumulates; when the bath temperature rises again to a certain degree (generally above 1470 ℃), the (FeO) is accumulated to be more than 20%, the carbon-oxygen reaction is carried out again at a more violent speed, a large amount of CO gas with huge energy is instantaneously discharged from the furnace mouth, and a certain amount of molten steel and slag are carried in at the same time, so that larger splash is formed. In the case where the slag oxidizing property is too high and the bath temperature is raised after suddenly cooling, explosive splashing may occur; on the contrary, when the reaction speed of carbon and oxygen is too fast and the consumption of (FeO) is low, the generated CO gas is less, the foaming degree of slag is low, and the phenomenon of 'back drying' can occur, so that the normal reaction speed and efficiency of carbon and oxygen are also influenced, and the stability of the converting operation of the converter is influenced. According to the embodiment, the deviation in the converter converting process can be timely adjusted by comparing the actual CO content curve of the current heat with the target CO content curve in real time, the CO content trend in the actual CO content curve and the target CO content curve is used for pre-judging and timely adjusting the converting operation, the abnormal phenomena of splashing and back drying in the converting operation are strictly controlled, the uniform temperature rise of converting and the efficient operation of carbon-oxygen reaction are guaranteed, so that the stable operation of the converter converting operation is improved, and the production efficiency is improved.

The result of comparing the actual CO content curve of the current heat with the target CO content curve in real time comprises the following three conditions of S7-S9:

s7: and if the actual CO content at the current moment is greater than the confidence upper limit of the corresponding moment in the target CO content curve, inhibiting the current carbon-oxygen reaction speed.

A method of inhibiting the current rate of carbon oxygen reaction comprising: the position of the converting gun is lowered, or a cooling agent is added.

S8: if the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve, the current carbon-oxygen reaction speed is promoted.

A method of promoting a current carbon oxygen reaction rate comprising: the position of the converting gun is improved, the oxygen flow is reduced, or a converter slag melting agent is added.

S9: and if the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve, maintaining the current carbon-oxygen reaction speed.

By adopting the method in the embodiment, the CO content fitting curve of the current heat and the confidence interval thereof provided by the CO content fitting curve library can be referred to as follows.

Current hot metal conditions of heat 1: the mass ratio of each element is C4.33%, si 0.54%, mn 0.35%, P0.112%, S0.032%, T:1267 ℃; scrap steel conditions: heavy duty, board head board edge: and (3) material mixing: briquetting=1: 1:2:2.5; the alkalinity of the target steel grade is required to be R-3.0; the molten iron ratio is 6.0; the addition amounts of the slag forming materials of light burned lime, light burned dolomite and the coolant of ton steel are 30kg, 6kg and 10kg respectively.

Current hot metal conditions of heat 2: the mass ratio of each element is 4.41 percent of C, 0.46 percent of Si, 0.45 percent of Mn, 0.132 percent of P, 0.026 percent of S and T:1318 ℃; scrap steel conditions: heavy duty, board head board edge: and (3) material mixing: briquetting=1: 1.2:2:2.2; the alkalinity of the target steel grade is required to be R-3.1; the molten iron ratio is 5.9; the addition amounts of slag-forming materials of light burned lime, light burned dolomite and coolant are 328kg, 5kg and 9kg respectively.

Example two

Fig. 2 is a schematic structural diagram of a system for controlling converter blowing based on a CO content curve according to an embodiment of the present application. As can be seen from fig. 2, the system for controlling converter blowing based on the CO content curve in this embodiment mainly includes: the device comprises a historical furnace time database building module, a data acquisition module, an actual CO content curve generating module, a fitting curve generating module, a target CO content curve generating module, a comparison module and a control module.

The history heat database building module is used for building a history heat database according to the heat entering conditions of the history heat; the data acquisition module is used for acquiring original data corresponding to the current furnace entry condition according to the current furnace entry condition; the actual CO content curve generating module is used for generating an actual CO content curve of the current furnace time according to the original data corresponding to the current furnace entry condition; the fitting curve generating module is used for adding the current furnace entry conditions and the corresponding original data thereof into the historical furnace time database, calculating a CO content fitting curve library under various types of furnace entry conditions and corresponding confidence intervals by adopting a big data regression analysis method, wherein the CO content fitting curve library comprises CO content fitting curves corresponding to various types of furnace entry conditions, the confidence intervals are provided with confidence upper limits and confidence lower limits, and the furnace entry conditions comprise: molten iron conditions, scrap steel conditions, slag forming auxiliary material conditions, target steel grade conditions and furnace charging molten iron ratio conditions; the target CO content curve generating module is used for determining a CO content fitting curve which is the same as the current furnace charging condition from the CO content history data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace charging time; the comparison module is used for comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time in the converter blowing process under the current furnace entering condition; the control module is used for inhibiting the current carbon-oxygen reaction speed when the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve and promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve and maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

The control module comprises: a suppression unit, a promotion unit, and a maintenance unit. The suppression unit is used for suppressing the current carbon-oxygen reaction speed when the actual CO content at the current moment is greater than the confidence upper limit of the corresponding moment in the target CO content curve; the promoting unit is used for promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve; the maintaining unit is used for maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

The working principle and working method of the system for controlling converter blowing based on the CO content curve in this embodiment are already described in detail in the embodiment shown in fig. 1, and are not described here again.

The foregoing is merely a specific embodiment of the application to enable one skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (8)

1. A method for converter converting control based on a CO content profile, the method being for a converter converting process for steelmaking, the method comprising:

establishing a historical furnace time database according to the furnace entry conditions of the historical furnace times;

according to the current furnace charging condition, collecting original data corresponding to the current furnace charging condition;

generating an actual CO content curve of the current heat according to the original data corresponding to the current heat entering condition;

adding the current furnace entry conditions and the corresponding original data thereof into a historical furnace time database, and calculating a CO content fitting curve library under various types of furnace entry conditions and corresponding confidence intervals by adopting a big data regression analysis method, wherein the CO content fitting curve library comprises CO content fitting curves corresponding to various types of furnace entry conditions, and confidence upper limits and confidence lower limits are arranged in the confidence intervals;

determining a CO content fitting curve which is the same type as the current furnace charging condition from the CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace time;

in the converter blowing process under the current charging condition, comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time;

if the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve, the current carbon-oxygen reaction speed is restrained;

if the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve, promoting the current carbon-oxygen reaction speed;

and if the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve, maintaining the current carbon-oxygen reaction speed.

2. The method for converter converting control based on a CO content curve according to claim 1, wherein the type of the charging condition comprises: molten iron conditions, scrap steel conditions, slag forming auxiliary materials conditions, target steel grade conditions and furnace charging molten iron ratio conditions.

3. The method for converter blowing control based on a CO content curve according to claim 2, wherein the molten iron conditions include: molten iron composition, molten iron temperature and molten iron weight; the scrap steel conditions include: the type of scrap steel, the weight of various types of scrap steel and the weight ratio of various types of scrap steel; the slagging auxiliary material conditions comprise: the type of the slag former, the addition amount of the slag former, the type of the coolant and the addition amount of the coolant; the target steel grade comprises: the name of the target steel grade and the slag forming PH value required by the target steel grade.

4. The method for controlling converter blowing according to claim 1, wherein the CO content fitting curve is drawn according to a furnace charging condition, a blowing time, a blowing period, a gun position control and a charging time, and the blowing period comprises: a front blowing period, a middle blowing period, a rear blowing period and a rear stirring period.

5. The method for controlling converter blowing according to claim 1, wherein the method for suppressing the current carbon-oxygen reaction rate comprises: the position of the converting gun is lowered, or a cooling agent is added.

6. The method for converter blowing control based on a CO content profile according to claim 1, wherein the method for promoting the current carbon oxygen reaction rate comprises: the position of the converting gun is improved, the oxygen flow is reduced, or a converter slag melting agent is added.

7. A system for converter converting control based on a CO content profile, the system comprising:

the history furnace time database building module is used for building a history furnace time database according to the furnace entry conditions of the history furnace time;

the data acquisition module is used for acquiring original data corresponding to the current furnace entry condition according to the current furnace entry condition;

the actual CO content curve generating module is used for generating an actual CO content curve of the current furnace time according to the original data corresponding to the current furnace entry condition;

the fitting curve generating module is used for adding the current furnace entry conditions and the corresponding original data thereof into the historical furnace time database, calculating a CO content fitting curve library under various types of furnace entry conditions and corresponding confidence intervals by adopting a big data regression analysis method, wherein the CO content fitting curve library comprises CO content fitting curves corresponding to various types of furnace entry conditions, the confidence intervals are provided with confidence upper limits and confidence lower limits, and the furnace entry conditions comprise: molten iron conditions, scrap steel conditions, slag forming auxiliary material conditions, target steel grade conditions and furnace charging molten iron ratio conditions;

the target CO content curve generating module is used for determining a CO content fitting curve which is the same as the current furnace charging condition from the CO content historical data fitting curve library according to the current furnace charging condition, and defining the CO content fitting curve as a target CO content curve of the current furnace charging time;

the comparison module is used for comparing whether the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve in real time in the converter blowing process under the current furnace entering condition;

the control module is used for inhibiting the current carbon-oxygen reaction speed when the actual CO content at the current moment is larger than the confidence upper limit of the corresponding moment in the target CO content curve and promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve and maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

8. The system for converter converting control based on a CO content profile of claim 7, wherein the control module comprises:

the suppression unit is used for suppressing the current carbon-oxygen reaction speed when the actual CO content at the current moment is greater than the confidence upper limit of the corresponding moment in the target CO content curve;

the promoting unit is used for promoting the current carbon-oxygen reaction speed when the actual CO content at the current moment is smaller than the confidence lower limit of the corresponding moment in the target CO content curve;

the maintaining unit is used for maintaining the current carbon-oxygen reaction speed when the actual CO content at the current moment is in the CO content in the confidence interval of the corresponding moment in the target CO content curve.

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