CN113776080B - Hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis - Google Patents
Hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis Download PDFInfo
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- 238000010219 correlation analysis Methods 0.000 claims description 6
- 238000005314 correlation function Methods 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 4
- 238000003723 Smelting Methods 0.000 abstract description 4
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N1/00—Regulating fuel supply
- F23N1/02—Regulating fuel supply conjointly with air supply
- F23N1/022—Regulating fuel supply conjointly with air supply using electronic means
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N2223/00—Signal processing; Details thereof
- F23N2223/10—Correlation
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention relates to a hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis, and belongs to the technical field of blast furnace smelting processes. The technical scheme of the invention is as follows: searching a region with strong correlation between dome temperature and air-fuel ratio and weak correlation between dome temperature and factors such as pressure, selecting the air-fuel ratio with the best comprehensive satisfaction through a comprehensive evaluation system, and guiding the production of the next combustion period; and calculating time lags among the variables by using a cross-correlation coefficient method. The beneficial effects of the invention are as follows: the temperature change of the selected interval is ensured to be directly influenced by the air-fuel ratio and the influence is maximum, so that the correction result is ensured to be more reliable, the operation amount is reduced, and the time complexity is reduced; the air-fuel ratio with the best comprehensive satisfaction is selected to guide the production of the next combustion period through a comprehensive evaluation system, so that the production efficiency can be improved and the energy consumption can be reduced; and calculating time lags among variables by using a cross-correlation coefficient method, correcting data samples, ensuring more accurate data, and further improving the effectiveness of an air-fuel ratio correction result.
Description
Technical Field
The invention relates to a hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis, and belongs to the technical field of blast furnace smelting processes.
Background
The hot blast furnace is an important facility for blast furnace production, is used as an important link in the blast furnace smelting process, and has the effects of quickly storing heat through burning coal gas and combustion air, heating cold air blown by a blower into hot air after the heat storage is completed, and transmitting the hot air to the blast furnace, so that a proper high-temperature environment is provided for blast furnace smelting, and finally, the effects of improving the yield, reducing the cost and the like are achieved. In the working process of the hot blast stove, the flow control of combustion air and blast furnace gas is very important. Assuming that the given value of the gas quantity is fixed, if the gas quantity is insufficient, the problem of insufficient combustion and slow vault temperature lifting speed can occur; if the air quantity is too large, although the sufficient combustion can be ensured, a large amount of air can bring excessive cold air, and the temperature of the vault can be slowly increased, so that the heat storage process is seriously influenced. Therefore, in order to improve combustion efficiency and ensure rapid rise of furnace temperature, it is necessary to provide a proper air-to-gas flow ratio (air-fuel ratio for short) for the hot blast stove.
Meanwhile, due to the fact that the combustion process of the hot blast stove is complex, a certain time lag exists for most of parameters affecting the change of the temperature of the vault in the actual operation process. If the gas flow increases or decreases at a certain moment, the resulting change in dome temperature will occur after a certain period of time, it can be considered that the gas flow at the present moment corresponds to the dome temperature after a certain period of time, i.e. the dome temperature lags behind the gas flow by a certain period of time. Therefore, in order to ensure that a proper air-fuel ratio is found in a large amount of data, it is necessary to eliminate the influence of adverse factors such as time lag.
In the current research on optimization or correction of the air-fuel ratio of the hot blast stove, on one hand, other factors besides the air-fuel ratio are not considered, and the temperature of the arch top is influenced, namely, the air-fuel ratio cannot be guaranteed to be the dominant factor influencing the temperature of the arch top in the adjusting process, so that the reliability of air-fuel ratio optimization is not high, the combustion efficiency cannot be effectively improved after optimization, and the rapid rise of the temperature of the stove is guaranteed; on the other hand, the presence of the time lag seriously affects the air-fuel ratio optimizing process, and in the case of a sequence misalignment (time lag is not eliminated), the air-fuel ratio obtained by the optimizing process is the air-fuel ratio corresponding to the original sequence, and thus the improvement of the combustion efficiency and the furnace temperature is limited.
Disclosure of Invention
The invention aims to provide a hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis, which is used for searching a region with strong correlation between dome temperature and air-fuel ratio and weak correlation between the dome temperature and factors such as pressure, eliminating the influence of the factors such as pressure on the temperature, ensuring that the temperature change of the selected region is directly influenced by the air-fuel ratio and has the largest influence, further ensuring more reliable correction result, reducing the operand and reducing the time complexity; through a comprehensive evaluation system, a plurality of production targets are ensured to meet the requirements of actual working conditions, the air-fuel ratio with the best comprehensive satisfaction is selected, the air-fuel ratio in the next combustion period is set as the air-fuel ratio, and the production efficiency can be expected to be improved and the energy consumption can be reduced; in addition, in order to improve the air-fuel ratio optimization effect, the time lag among variables is calculated by using a cross-correlation coefficient method, data samples are corrected, the data is more accurate, the effectiveness of an air-fuel ratio correction result is further improved, and the problems in the background technology are effectively solved.
The technical scheme of the invention is as follows: a hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis comprises the following steps:
(1) Searching data of correlation analysis with the air-fuel ratio, searching a region where the air-fuel ratio has strong correlation with the dome temperature and the air pressure and the gas pressure have weak correlation with the dome temperature;
(2) Analyzing all variables in the section searched in the step (1), obtaining an evaluation index according to expert experience, carrying out comprehensive evaluation, giving comprehensive satisfaction, selecting the average value of air-fuel ratios corresponding to the section with highest satisfaction as an air-fuel ratio correction value, and guiding the production of the next combustion period;
(3) Adding a time deviation to other variables based on the dome temperature;
(4) And determining the correlation coefficient of other variables and the vault temperature through a cross-correlation function method, and further determining the lag time.
In the step (1), the data for performing the correlation analysis with the air-fuel ratio includes: gas flow, gas conduit pressure, air flow, air conduit pressure, and dome temperature; when the interval search is performed, the time windows are selected to be equal in length and not too small or too small.
In the step (2), when the comprehensive evaluation is performed, the evaluation indexes obtained according to expert experience include: gas flow, dome temperature and dome temperature rate of change; the highest satisfaction interval, namely the vault temperature, reaches the expected target, and the total gas flow is as small as possible, or the higher vault temperature can be obtained when the total gas amount is similar, so that the proper air-fuel ratio correction value is obtained.
In the step (3), other variables include gas flow, gas pipeline pressure, air flow, air pipeline pressure and dome temperature; adding a time offset, i.e., spatially reconstructing the variable, shifts back by one or more sampling periods.
In the step (4), a time deviation corresponding to a point with the maximum correlation coefficient is defined as a lag time between the two variables.
The beneficial effects of the invention are as follows: searching a region with strong correlation between the dome temperature and the air-fuel ratio and weak correlation between the dome temperature and factors such as pressure, eliminating the influence of the factors such as pressure on the temperature, ensuring that the temperature change of the selected region is directly influenced by the air-fuel ratio and has the largest influence, further ensuring more reliable correction result, reducing the operand and reducing the time complexity; through a comprehensive evaluation system, a plurality of production targets are ensured to meet the requirements of actual working conditions, the air-fuel ratio with the best comprehensive satisfaction is selected, the air-fuel ratio in the next combustion period is set as the air-fuel ratio, and the production efficiency can be expected to be improved and the energy consumption can be reduced; in addition, in order to improve the air-fuel ratio optimization effect, the time lag among variables is calculated by using a cross-correlation coefficient method, data samples are corrected, the data are more accurate, and the effectiveness of an air-fuel ratio correction result is further improved.
Drawings
FIG. 1 is a graph of the correlation coefficient between dome temperature and variables of the present invention;
FIG. 2 is a graph of gas flow versus dome temperature;
FIG. 3 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments, and it is apparent that the described embodiments are a small part of the embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
A hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis comprises the following steps:
(1) Searching data of correlation analysis with the air-fuel ratio, searching a region where the air-fuel ratio has strong correlation with the dome temperature and the air pressure and the gas pressure have weak correlation with the dome temperature;
(2) Analyzing all variables in the section searched in the step (1), obtaining an evaluation index according to expert experience, carrying out comprehensive evaluation, giving comprehensive satisfaction, selecting the average value of air-fuel ratios corresponding to the section with highest satisfaction as an air-fuel ratio correction value, and guiding the production of the next combustion period;
(3) Adding a time deviation to other variables based on the dome temperature;
(4) And determining the correlation coefficient of other variables and the vault temperature through a cross-correlation function method, and further determining the lag time.
In the step (1), the data for performing the correlation analysis with the air-fuel ratio includes: gas flow, gas conduit pressure, air flow, air conduit pressure, and dome temperature; when the interval search is performed, the time windows are selected to be equal in length and not too small or too small.
In the step (2), when the comprehensive evaluation is performed, the evaluation indexes obtained according to expert experience include: gas flow, dome temperature and dome temperature rate of change; the highest satisfaction interval, namely the vault temperature, reaches the expected target, and the total gas flow is as small as possible, or the higher vault temperature can be obtained when the total gas amount is similar, so that the proper air-fuel ratio correction value is obtained.
In the step (3), other variables include gas flow, gas pipeline pressure, air flow, air pipeline pressure and dome temperature; adding a time offset, i.e., spatially reconstructing the variable, shifts back by one or more sampling periods.
In the step (4), a time deviation corresponding to a point with the maximum correlation coefficient is defined as a lag time between the two variables.
In practical application, to obtain the air-fuel ratio optimized value, the comprehensive satisfaction of the data interval needs to be calculated, which comprises the following steps:
(1) Searching for a region where the air-fuel ratio has strong correlation with the dome temperature and the air pressure, gas pressure and other variables have weak correlation with the dome temperature
The correlation coefficient between each variable and the dome temperature is calculated (as in fig. 1), the correlation coefficient being a number between [ -1,1], the greater the absolute value the stronger the correlation, and if negative, the negative correlation. The correlation coefficient formula is:
after obtaining the correlation coefficient, starting to search the interval, wherein the search rule is as follows: the interval needs to meet that the correlation coefficient of the dome temperature and the air-fuel ratio is more than 0.6 (strong correlation), and the correlation coefficient of the dome temperature and the gas main pressure and the air main pressure is less than 0.4 (weak correlation). And selecting a time window for 3-5 minutes, traversing all data, searching the data segments meeting the conditions, and recording until all the data segments meeting the conditions are found.
(2) Analyzing all variables of the interval searched in the step (1), obtaining an evaluation index according to expert experience, carrying out comprehensive evaluation to give comprehensive satisfaction, selecting the average value of air-fuel ratios corresponding to the interval with highest satisfaction as a correction value, and guiding the production of the next combustion period
And establishing a comprehensive evaluation system, and performing comprehensive satisfaction evaluation on the historical data of the real production process. And (3) selecting the gas flow, the vault temperature and the vault temperature change rate according to the evaluation index, wherein the section searched in the step (1) is long in time, and the vault temperature change rate is larger as the total gas flow is smaller in the long time and the vault temperature is higher as the vault temperature is higher in combination with the actual working condition. By establishing a comprehensive satisfaction evaluation system, reasonably distributing weights of three evaluation indexes, calculating the comprehensive satisfaction of each section of data, selecting the data section with the highest satisfaction, and calculating the air-fuel ratio average value as the air-fuel ratio correction value of the next combustion period.
The weight distribution process of the three evaluation indexes is as follows:
firstly, extracting data corresponding to evaluation indexes to form a matrix R to be evaluated x ,
Next, for the evaluation matrix R x The indexes of the data are subjected to dimension removal processing, and the influences of positive and negative directions and unit dimension of the data are removed.
For the forward index (the larger the data corresponding to the index is, the better, such as the dome temperature and the dome temperature change rate), the processing mode is as follows:
for negative indicators (the smaller the data corresponding to the indicators are, the better, such as gas flow), the processing mode is as follows:
for moderate index (the data corresponding to the index should be in an ideal interval), the processing mode is as follows:
when x is ij <L 1j In the time-course of which the first and second contact surfaces,
when L 1j <x ij <L 2j When y is ij ＝1
When x is ij >L 2j In the time-course of which the first and second contact surfaces,
wherein, [ L ] 1j ,L 2j ]Is an ideal interval of moderate index, and the interval is determined according to the actual condition of the site and the production experience.
Next, in order to exclude the case that the numerical value in the index is zero, standardized translation needs to be performed on the matrix after the dimensionality removal treatment, and the translation rule is as follows: y is ij ＝y ij +1, to give a new R x A matrix.
Then, calculating the specific gravity p of each index in the corresponding sample ij ,
Calculating the information utility value d contained in the j index according to the obtained specific gravity
Finally, calculating the weight w of the jth index j Obtaining a sample comprehensive score s according to the weight i
And (3) selecting a section with the highest sum of the sample comprehensive scores from the sections obtained in the step (1), and calculating an air-fuel ratio average value as an air-fuel ratio correction value of the next combustion cycle.
In addition, in order to improve the air-fuel ratio optimization effect, a lag time is required to be calculated, and each characteristic sequence is aligned, and the method comprises the following steps:
(1) Adding a time deviation to other variables based on the dome temperature;
in order to ensure the normalization of the data, before adding time deviation, the abnormal value and the missing value in the field data are removed and filled by adopting a Laida criterion and a time sequence linear interpolation method. The implementation process of the Laida criterion and the time sequence linear interpolation is as follows:
selecting a sample data sequence x= { X 1 ,x 2 ,x 3 …x n Mean value of }, is
Deviation of
The standard deviation s is calculated as +.>
If a certain sample data x i Deviation v of (2) i (1 is less than or equal to i is less than or equal to n) and satisfies |v| > 3 sigma, if the abnormal data is considered, the abnormal data is required to be removed; filling the missing data by adopting a time sequence linear interpolation method, namely, the missing data
Thereby ensuring the integrity of the data.
Then, time deviations are added to other variables, including variables that can be acquired by the hot blast stove, such as gas flow, gas pipeline pressure, air flow, air pipeline pressure, dome temperature, etc., and are shifted backwards by a certain time step relative to the dome temperature.
(2) And determining the correlation coefficient of other variables and the vault temperature through a cross-correlation function method, and further determining the lag time.
The cross-correlation coefficient calculation formula is:
and respectively calculating hysteresis correlation curves (shown in figure 2) between the vault temperature and the gas flow, the air-fuel ratio, the gas main pipe pressure and the air main pipe pressure, and correcting historical sampling data according to the time corresponding to the maximum value of the cross correlation coefficient as the hysteresis time between two variables.
Claims (4)
1. A hot-blast stove air-fuel ratio correction method based on comprehensive satisfaction and time lag analysis is characterized by comprising the following steps:
(1) Searching data of correlation analysis with the air-fuel ratio, searching a region where the air-fuel ratio has strong correlation with the dome temperature and the air pressure and the gas pressure have weak correlation with the dome temperature;
(2) Analyzing all variables in the section searched in the step (1), obtaining an evaluation index according to expert experience, carrying out comprehensive evaluation, giving comprehensive satisfaction, selecting the average value of air-fuel ratios corresponding to the section with highest satisfaction as an air-fuel ratio correction value, and guiding the production of the next combustion period;
(3) Adding a time deviation to other variables based on the dome temperature; the added time deviation is used for carrying out space reconstruction on the variable, and shifting backwards by one or more sampling periods;
(4) Determining correlation coefficients of other variables and vault temperature through a cross-correlation function method, and further determining lag time; the time deviation corresponding to the point where the correlation coefficient is the largest is defined as the lag time between the two variables.
2. The method for correcting the air-fuel ratio of the hot blast stove based on the comprehensive satisfaction and time lag analysis according to claim 1, wherein the method comprises the following steps: in the step (1), the data for performing the correlation analysis with the air-fuel ratio includes: gas flow, gas conduit pressure, air flow, air conduit pressure, and dome temperature; when the interval search is performed, the time windows are selected to be equal in length and not too small or too small.
3. The method for correcting the air-fuel ratio of the hot blast stove based on the comprehensive satisfaction and time lag analysis according to claim 1, wherein the method comprises the following steps: in the step (2), when the comprehensive evaluation is performed, the evaluation indexes obtained according to expert experience include: gas flow, dome temperature and dome temperature rate of change; the highest satisfaction interval, namely the vault temperature, reaches the expected target, and the total gas flow is as small as possible, or the higher vault temperature can be obtained when the total gas amount is similar, so that the proper air-fuel ratio correction value is obtained.
4. The method for correcting the air-fuel ratio of the hot blast stove based on the comprehensive satisfaction and time lag analysis according to claim 1, wherein the method comprises the following steps: in the step (3), other variables include gas flow rate, gas pipe pressure, air flow rate, air pipe pressure and dome temperature.
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| JPS5976806A (en) * | 1982-10-23 | 1984-05-02 | Nippon Steel Corp | Operating method of blast furnace |
| KR20000014615A (en) * | 1998-08-21 | 2000-03-15 | 이구택 | Monitoring method for hot-blast valve of air heating furnace |
| KR100832995B1 (en) * | 2002-06-24 | 2008-05-27 | 주식회사 포스코 | Apparatus for controlling temperature of the hot wind for a blast furnace |
| CN100349081C (en) * | 2005-12-09 | 2007-11-14 | 河北理工大学 | Harmonization control method for blast furnace hot blast stove system |
| CN101408314B (en) * | 2008-03-19 | 2010-06-23 | 首钢总公司 | Automatic control system of blast furnace hot blast stove combustion process |
| CN101749731A (en) * | 2009-12-31 | 2010-06-23 | 中冶南方工程技术有限公司 | Automatic optimal combustion intelligent control system for hot blast stove |
| KR20110120444A (en) * | 2010-04-29 | 2011-11-04 | 현대제철 주식회사 | Apparatus controlling combustion of hotstove equipment and method thereof |
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| CN106011353B (en) * | 2016-07-26 | 2019-01-22 | 北京和隆软件有限公司 | A kind of blast funnace hot blast stove air-fuel ratio self-optimization method |
| CN110716597A (en) * | 2019-10-31 | 2020-01-21 | 中冶赛迪重庆信息技术有限公司 | Method, system and equipment for controlling vault temperature in combustion process of hot blast stove |
| CN112239797A (en) * | 2020-10-21 | 2021-01-19 | 宝钢湛江钢铁有限公司 | Large blast furnace top combustion type hot blast furnace vault temperature control technology |
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