TWI817819B - Method and computer program product for controlling hot blast stove - Google Patents

Abstract

A method and a computer program product for controlling a hot blast stove are provided. The method includes: inputting operating predetermined values of a hot blast stove operating parameter group in a first cycle operation and request values of a hot air request parameter group in a second cycle operation into a predictive model for computing to output a value of a predictive hot air temperature in the second cycle operation, the hot blast stove operating parameter group including an affecting efficiency parameter with which a value of a fuel efficiency parameter changes, a firstly adjective value corresponding to the value of the affecting efficiency parameter; adjusting the affecting efficiency parameter based on increasing the values of the fuel efficiency parameter to obtain secondly adjective values and inputting the secondly adjective values into the predictive model to output values of the predictive hot air temperature; choosing one as a suitable value from the firstly adjective value and the secondly adjective values; and controlling the hot blast stove to being in the second cycle operation according to the suitable value.

Description

Control method of hot blast stove and its computer program product

The present invention relates to a control method and a computer program product, and in particular, to a control method of a hot blast furnace and a computer program product thereof.

The function of the blast furnace hot blast furnace is to supply hot blast with stable temperature to the blast furnace. The regenerative blast furnace hot blast furnace is divided into a combustion period and an air supply period in each cycle: during the combustion period, the blast furnace burns fuel and accumulates heat in the regenerative bricks; during the air supply period, the cold blast belt entering the furnace is adjusted. The heat from the regenerative bricks is removed and mixed with the cold blast that has not entered the furnace to maintain a stable air temperature and output. In addition, the fuel used by the blast furnace hot blast stove accounts for a very high proportion of the fuel used by the blast furnace as a whole. Therefore, improving the fuel usage efficiency of the blast furnace hot blast stove has always been the goal of research in this field.

The purpose of the present invention is to provide a control method for a hot blast stove and its computer program product, which adjusts the efficiency parameters that influence the fuel utilization efficiency of the hot blast stove, and inputs the value of the adjusted efficiency parameter into a prediction model operation to output the following Based on the predicted hot air temperature for one cycle of operation, one that meets the next cycle operation requirements is selected based on the output of the prediction model to control the next cycle operation of the hot blast stove so that the hot blast stove can maximize energy saving effects.

One aspect of the present invention is to provide a control method for a hot blast stove, which includes: providing a set of operation preset values corresponding to the hot blast stove operating parameter group, wherein the set of operation preset values is the hot blast stove operating in the first cycle. The operation results; provide a set of demand values corresponding to the hot air demand parameter group that the hot air stove needs to generate hot air in the second cycle operation; input this set of operation preset values and this set of demand values into the prediction model for calculation to output the first The value of the predicted hot air temperature for the second cycle operation. The second cycle operation is a continuation of the first cycle operation. The hot blast stove operating parameter group is related to the temperature in the hot blast stove and the hot air output parameters, and includes parameters that affect efficiency and the fuel utilization of the hot blast stove. The value of efficiency changes with the value of the parameter that affects efficiency. The first adjustment value in this set of operation preset values is the value corresponding to the parameter that affects efficiency. The hot air demand parameter group includes the hot air demand temperature; a value to improve fuel utilization efficiency. To adjust the parameters that affect efficiency, obtain a plurality of second adjustment values corresponding to different fuel utilization efficiency values; input the second adjustment values into the prediction model operation to output the predicted hot air temperature values corresponding to these second adjustment values. ;Select one of the first adjustment value and the second adjustment value whose corresponding predicted hot air temperature value meets the hot air demand temperature and corresponds to the highest fuel utilization efficiency as the appropriate value; and control the hot air stove according to the appropriate value, to perform the second cycle operation.

According to an embodiment of the present invention, the efficiency parameters are obtained by simulating the physical model of the hot blast stove and based on the correlation between the hot blast stove operating parameter set and the fuel utilization efficiency when the hot blast stove is operating.

According to an embodiment of the present invention, each cycle of the hot blast stove includes a combustion period and an air supply period, and the parameter that affects efficiency is the flue gas emission end temperature, which is the temperature of the flue gas discharged by the hot blast stove at the end of the combustion period.

According to an embodiment of the present invention, the value of the flue gas emission end temperature adjusted each time is between 1 degree Celsius and 5 degrees Celsius.

According to an embodiment of the present invention, the control parameters change with the parameters that affect the efficiency, and the control parameters are related to the operational stability of the hot blast furnace. In the step of calculating the prediction model, the prediction model also outputs the first adjustment corresponding to the second cycle operation. The value of the control parameter of the value, in the step of inputting the second adjustment value into the prediction model operation, the prediction model also outputs the value of the control parameter corresponding to the second adjustment value in the second loop operation, from the first adjustment value and In the step of selecting the second adjustment value, the value of the control parameter corresponding to the selected appropriate value must also conform to the stable range that makes the operation of the hot blast furnace stable.

According to an embodiment of the present invention, each cycle of the hot blast furnace includes a combustion period and an air supply period, and the control parameter is the end opening of the cooling mixing valve, which is the opening of the mixing cooling valve of the hot blast furnace at the end of the air supply period.

According to an embodiment of the present invention, the limit value of the stability range boundary is adjusted according to the service life, damage frequency, or number of damage of the hot blast stove.

According to an embodiment of the present invention, in the step of predicting the model calculation, the fuel conditions of the second cycle operation are also input into the prediction model calculation.

According to an embodiment of the present invention, the prediction model is based on a complex set of historical values corresponding to the hot blast stove operating parameter group, a plurality of historical values corresponding to the fuel conditions, a complex set of historical values corresponding to the hot air demand parameter set, and the corresponding Predict the plurality of historical values corresponding to the hot air temperature and the plurality of historical values corresponding to the corresponding control parameters. Use machine learning algorithms or statistical methods to establish the hot air furnace operating parameter group, fuel conditions, hot air demand parameter group, and predict the hot air temperature. , the correspondence between control parameters.

Another aspect of the present invention is to provide a computer program product for controlling a hot blast stove. When the computer loads the computer program product and executes it, the control method of the hot blast stove as described above can be completed.

Embodiments of the present invention are discussed in detail below. It is to be appreciated, however, that the embodiments provide many applicable concepts that can be embodied in a wide variety of specific contexts. The embodiments discussed and disclosed are for illustration only and are not intended to limit the scope of the invention.

The terms used herein are for the purpose of describing specific embodiments only and are not intended to limit the scope of the patent application. Unless otherwise restricted, the singular form "a" or "the" may also be used to denote the plural form.

Referring to FIGS. 1 and 2 , FIG. 1 is a block diagram of a hot blast stove system 100 according to a method for controlling a hot blast stove according to an embodiment of the present invention. FIG. 2 is an example of a hot blast stove 200 . The hot blast furnace system 100 is used to supply hot blast with stable temperature to the blast furnace. The hot blast stove system 100 includes a hot blast stove 200 and a control module 300 .

The hot blast stove 200 includes a combustion chamber 210, a regenerator 220, and a furnace top 230 that communicates with the combustion chamber 210 and the regenerator 220. A plurality of heat storage bricks (not shown) are provided in the heat storage chamber 220 . Each cycle of the hot blast stove 200 includes a combustion period and an air supply period. During the combustion period (the flow direction of the gas is shown by the solid arrow), the fuel burns in the combustion chamber 210 and generates flue gas. The heat generated by the flue gas is transmitted along with the flue gas and accumulated in the regenerator bricks. Afterwards, the flue gas exits the regenerator. 220 is discharged out of the furnace. During the air supply period (the flow direction of the gas is shown by the dotted arrow), the cold blast entering the furnace from the regenerator 220 takes away heat through the regenerator bricks and heats up into hot air. The hot air is mixed with the cold blast that has not entered the furnace. The hot air temperature is maintained at a stable temperature and output to the blast furnace (not shown). The flow rate of the cold blast used to maintain a stable air temperature is controlled by adjusting the opening of the cooling mixing valve 240.

The hot blast stove operating parameter group of the hot blast stove 200 is the operation result of each cycle of the hot blast stove 200, which is the temperature and hot air output parameters in the relevant hot blast stove 200, such as the furnace top temperature at the end of the air supply period, the hot air at the end of the combustion period. The temperature of the furnace exhaust flue gas (i.e., the end temperature of the flue gas emission), the hot air temperature (i.e., the temperature of the hot air output to the blast furnace), the hot air flow rate (i.e., the flow rate of hot air that enters the furnace and is heated from the regenerator 220 to adjust it), etc. Among them, the hot blast stove operating parameter group includes efficiency parameters, which affect the fuel utilization efficiency of the hot blast stove 200. The fuel utilization efficiency is the ratio of "heat of hot air" to "heat input of fuel." In this example, by simulating the physical model of the hot blast stove 200, when the hot blast stove 200 is operating, according to the correlation between the hot blast stove operating parameter set and the fuel utilization efficiency, that is, the value of the fuel utilization efficiency changes with the value of the efficiency parameter. , so as to find out the parameters that affect the efficiency in the hot blast furnace operating parameter group. In this example, the parameter affecting efficiency is the flue gas emission end temperature. As shown in Figure 3, it is a simulation diagram of the relationship between flue gas emission temperature, combustion time, and fuel utilization efficiency. As the combustion time increases, the flue gas emission temperature becomes the flue gas emission end temperature. When the flue gas emission end temperature decreases from 354 degrees Celsius to 344 degrees Celsius, the fuel utilization efficiency increases by 0.6%; at the flue gas emission end temperature, When the temperature drops from 354 degrees Celsius to 337 degrees Celsius, the fuel utilization efficiency increases by 1%; when the flue gas emission end temperature drops from 354 degrees Celsius to 330 degrees Celsius, the fuel utilization efficiency increases by 1.5%; When the exhaust end temperature is lowered from 354 degrees Celsius to 322 degrees Celsius, the fuel efficiency value increases by 2%. Therefore, when the adjusted flue gas emission end temperature decreases, the fuel utilization efficiency increases.

Furthermore, when the parameters that affect the efficiency change, the control parameters that control the hot blast stove 200 also change accordingly. In this example, the control parameter is the opening of the cooling mixing valve 240 of the hot blast furnace 200 at the end of the air supply period (ie, the end opening of the cooling mixing valve). The opening of the cooling mixing valve 240 ranges from 0% to 100%. When the flue gas emission end temperature decreases (that is, the fuel utilization efficiency increases), the end opening of the mixed cooling valve also decreases. At the end of the air supply period, the end opening of the cooling mixing valve generally decreases. However, when the end opening of the cooling mixing valve is lower than a certain level, the opening of the cooling mixing valve and the bypass cold blast flow are highly nonlinear. , making it difficult to control the bypass cold blast flow, causing the operation of the hot blast stove 200 to be unstable. In addition, if the end opening of the mixed cooling valve is too low, it means that at the end of the air supply period, the heat stored in the heat storage bricks will be too little, and there is a risk that the air supply demand will not be met. Therefore, the value of the control parameter must also be within a stable range that makes the operation of the hot blast furnace 200 stable. The stable range is the limit value where the value of the control parameter must be greater than the boundary of the stable range. In addition, the limit value of the stable range is adjusted according to the service life, damage frequency, or number of damage of the hot blast stove 200 . For example, as the use period of the hot blast stove 200 increases, the limit value is adjusted accordingly. For example, when the hot blast stove 200 is used for one year, the limit value is set to 5%, and when the hot blast stove 200 is used for ten years, the limit value is raised to 10%. For another example, as the frequency of damage or the number of times of damage to the hot blast stove 200 increases, the limit value is increased accordingly. For example, when the hot blast stove 200 has been damaged 5 times, the limit value is set to 5%. When the hot blast stove 200 has been damaged 15 times, the limit value is increased to 10%.

Referring to FIG. 4 , the control module 300 is used to control the operation settings of the hot blast stove 200 and execute the control method of the hot blast stove. Control module 300 includes predictive model 310 . The prediction model 310 is based on a complex set of historical values corresponding to the hot blast furnace operating parameter set of the previous cycle operation (i.e., the first cycle operation), and the fuel for the next cycle operation (i.e., the second cycle operation) following the previous cycle operation. A plurality of historical values corresponding to the condition, a plurality of historical values corresponding to the hot air demand parameter group of the next cycle operation, and a plurality of historical values corresponding to the corresponding hot air temperature (i.e. predicted hot air temperature) of the next cycle operation. The plurality of historical values corresponding to the control parameters of the next cycle operation are used to establish the hot blast furnace operating parameter group of the previous cycle operation, the fuel conditions of the next cycle operation, and the operation parameters of the next cycle operation through machine learning algorithms or statistical methods. The corresponding relationship between the hot air demand parameter group, the hot air temperature of the next cycle operation, and the control parameters of the next cycle operation. The fuel condition is, for example, the calorific value of the fuel. The hot air demand parameter group is, for example, hot air demand temperature, hot air demand flow rate, etc.

Therefore, the established prediction model 310 can be calculated based on the input hot blast stove operating parameter set of the previous cycle operation of the hot blast stove, the fuel conditions of the next cycle operation, and the hot air demand parameter set to output the predicted hot air temperature of the next cycle operation. (i.e. predicting hot air temperature) and control parameters.

Referring to Figures 1, 4 and 5, Figure 5 is a schematic flowchart of a control method 500 for a hot blast stove according to an embodiment of the present invention. The time point at which the control method 500 of the hot blast stove is executed is when the previous cycle operation (the first cycle operation) has ended and the next cycle operation (the second cycle operation) has not yet started. By executing the control method of the hot blast stove 500 finds out the most suitable operation settings for controlling the hot blast furnace 200 during the next cycle operation (second cycle operation).

First, in step 510, a set of operation preset values corresponding to the hot blast stove operating parameter set is provided, where the provided set of operation preset values is the operation result of the hot blast stove 200 in the previous cycle operation (the first cycle operation). . That is, in step 510 , the control module 300 first acquires a set of operating preset values of the hot blast stove 200 in the previous cycle from the sensor disposed in the hot blast stove 200 . Among them, the value corresponding to the efficiency-affecting parameter in the hot blast furnace operating parameter group is the first adjustment value.

In step 520, the fuel conditions and a set of demand values respectively corresponding to the fuel conditions for the hot blast furnace 200 to operate in the next cycle and the hot air demand parameter set to generate hot air are provided. That is, in step 520, the operator can pre-input the value of the fuel condition of the fuel put into the hot blast stove 200 in the next cycle operation, and the demand value to be supplied to the blast furnace in the next cycle operation to the control module 300.

In step 530, the control module 300 inputs the above-mentioned operation preset value, fuel condition value and demand value into the prediction model 310 for calculation to output the hot air temperature value and control parameter value of the next cycle operation.

In step 540, the control module 300 adjusts the efficiency parameters to increase the value of fuel utilization efficiency, thereby obtaining a plurality of second adjustment values corresponding to different fuel utilization efficiency values. Each time the flue gas emission end temperature is adjusted, the value is between 1 degree Celsius and 5 degrees Celsius.

In step 550, the control module 300 re-inputs the second adjustment value obtained in step 540 and the values of the remaining parameters as provided in steps 510 and 520 (that is, the values of the remaining parameters that do not cover the first adjustment value). The prediction model 310 operates to output different second adjustment values respectively corresponding to the value of the hot air temperature and the value of the control parameter in the next cycle operation.

In step 560, the control module 300 determines whether there is a lower value in the hot air temperature value and the control parameter value of the next cycle operation corresponding to the first adjustment value and the second adjustment value respectively according to the result of step 550. The value of the hot air temperature in one cycle operation meets the requirements, and the value of the control parameter is within the stable range and is closest to the limit value (that is, the lowest value in the stable range). If the control module 300 determines that it is yes, then proceed to step 570; if the control module 300 determines that it is no, then return to step 540 to readjust the parameters that affect the efficiency.

In step 570, the control module 300 selects one of the first adjustment value and the second adjustment value as the appropriate value. The hot air temperature corresponding to the selected appropriate value for the next cycle operation meets the requirements and the corresponding control. The value of the parameter is closest to the limit value in the stable range. In this example, the value of the control parameter corresponding to the appropriate value is the lowest value in the stable range.

For example, in step 540, the value of the flue gas emission end temperature is adjusted to 2 degrees Celsius each time, the first adjustment value is 347 degrees Celsius, and the plurality of second adjustment values are 345 degrees Celsius, 343 degrees Celsius, and 343 degrees Celsius respectively. 341 degrees, 339 degrees Celsius, 337 degrees Celsius, 335 degrees Celsius. In steps 550, 560, and 570, the value of the hot air temperature for the next cycle operation corresponding to the flue gas emission end temperature of 337 degrees Celsius meets the requirements, and the value of the control parameter is at the lowest value in the stable range, and Although the value of the hot air temperature corresponding to the next cycle operation meets the requirements when the flue gas emission end temperature is 335 degrees Celsius, the value of the control parameter is beyond the stable range. Therefore, the appropriate value is that the flue gas emission end temperature is 337 degrees Celsius.

In step 580 , the control module 300 controls the hot blast stove 200 according to the operation default value and appropriate value corresponding to the hot blast stove operating parameter set to perform the second cycle operation. In this example, the control module 300 sets the operation guideline for the second cycle operation based on the difference between the first adjustment value and the appropriate value in the preset operation value. The operation guideline is, for example, the amount of fuel used.

Refer to Figure 6, which is an experimental diagram that actually verifies the flue gas emission end temperature and fuel utilization efficiency in multiple cycle operations. After actual verification, when the flue gas emission end temperature is reduced by about 10 degrees Celsius, the fuel utilization efficiency can be improved by about 1.3%, and the end opening range of the mixed cooling valve is reduced from 20~40% before adjustment to 13~29%. Scope. The end opening of the mixed cooling valve is not only within the stable range, approaching the limit value, but also the fluctuation range becomes smaller. Therefore, the hot blast stove 200 remains within a stable operating range, the heat storage of the regenerative bricks is sufficient, and the hot blast stove 200 can exert its maximum Energy saving effect.

It should be added that the control method 500 of the hot blast stove can be implemented by a computer program product containing a plurality of program instructions. Computer program products can be files transmitted over the Internet or stored in non-transitory computer-readable storage media. After these program instructions contained in the computer program product are loaded into the electronic computing device (such as the above-mentioned control module 300), the computer program executes the above-mentioned control method 500 of the hot blast stove. Among them, the non-transitory computer-readable storage media can be, for example, read-only memory (Read Only Memory; ROM), flash memory, floppy disk, hard disk, compact disk (Compact Disk; CD), digital versatile disc ( Digital Versatile Disc; DVD), flash drive, network-accessible database or other similar electronic products.

Although the disclosure has been disclosed above through embodiments, they are not intended to limit the disclosure. Anyone with ordinary knowledge in the technical field may make slight changes and modifications without departing from the spirit and scope of the disclosure. Therefore, The scope of protection of this disclosure shall be determined by the scope of the appended patent application.

100:Hot air stove system 200:Hot air stove 210: Combustion chamber 220:Regenerator 230:stove top 240: Mixed cooling valve 300:Control module 310: Predictive model 510: Steps 520: Steps 530: Steps 540:Step 550:Step 560:Step 570: Steps 580: Steps

For a more complete understanding of the embodiments and their advantages, reference is now made to the following description taken in conjunction with the accompanying drawings, in which: [Fig. 1] is a block diagram of a hot blast stove system based on a method for controlling a hot blast stove according to an embodiment of the present invention; [Figure 2] is a schematic diagram of a hot blast stove; [Figure 3] is a simulation diagram of the relationship between flue gas emission temperature, combustion time, and fuel utilization efficiency; [Figure 4] is a schematic diagram of the operation of the prediction model of [Figure 1]; [Fig. 5] is a schematic flow chart of a control method of a hot blast stove according to an embodiment of the present invention; and [Figure 6] is an experimental diagram that actually verifies the flue gas emission end temperature and fuel utilization efficiency in multiple cycle operations.

Domestic storage information (please note in order of storage institution, date and number) without Overseas storage information (please note in order of storage country, institution, date, and number) without

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Claims (10)

A control method for a hot blast stove, including: providing a set of operation preset values corresponding to a hot blast stove operating parameter group, wherein the set of operation preset values are the operation results of a hot blast stove in a first cycle operation; providing the hot blast stove A set of demand values corresponding to a hot air demand parameter set that the furnace needs to generate hot air in a second cycle operation; input the set of operation preset values and the set of demand values into a prediction model for calculation to output the second cycle One of the operations predicts the hot air temperature, wherein the second cycle operation is a continuation of the first cycle operation, the hot blast stove operating parameter set is related to a temperature in the hot blast stove and a hot blast output parameter, and includes an efficiency parameter, the A fuel utilization efficiency of the hot blast stove changes with the influencing efficiency parameter. A first adjustment value in the set of operating preset values corresponds to the influencing efficiency parameter. The hot blast demand parameter set includes a hot blast demand temperature; to improve The fuel utilization efficiency is used to adjust the influencing efficiency parameter, and a plurality of second adjustment values corresponding to different fuel utilization efficiency are obtained; the second adjustment values are input into the prediction model operation to output the second adjustment values respectively corresponding to The predicted hot air temperature; select one of the first adjustment value and the second adjustment value when the corresponding predicted hot air temperature meets the hot air demand temperature and corresponds to the highest fuel utilization efficiency as a suitable value; and controlling the hot blast stove according to the appropriate value to perform the second cycle operation. The control method of a hot blast stove as described in claim 1, wherein the efficiency parameter is simulated by a physical model of the hot blast stove, based on the correlation between the hot blast stove operating parameter set and the fuel utilization efficiency when the hot blast stove is operating. obtained. The control method of the hot blast stove as described in claim 1, wherein the hot blast stove includes a combustion period and an air supply period in each cycle, and the efficiency parameter is a flue gas emission end temperature, which is at the end of the combustion period. The temperature of the flue gas discharged from the hot blast furnace. The control method of the hot blast stove as described in claim 3, wherein the value of the flue gas emission end temperature adjusted each time is between 1 degree Celsius and 5 degrees Celsius. The control method of the hot blast stove as described in claim 1, wherein a control parameter changes with the influencing efficiency parameter, and the control parameter is related to the operational stability of the hot blast stove. In the step of calculating the prediction model, the prediction model The control parameter corresponding to the first adjustment value during the second loop operation is also output. In the step of inputting the second adjustment values into the prediction model operation, the prediction model also outputs the respective control parameters during the second loop operation. The control parameters corresponding to the second adjustment values, in the step of selecting from the first adjustment values and the second adjustment values, the control parameters corresponding to the selected appropriate values must also meet the requirements of making the hot blast stove A stable range within which operation is stable. The control method of the hot blast stove as described in claim 5, wherein each cycle of the hot blast stove includes a combustion period and an air supply period, and the control parameter is an end opening of a mixed cooling valve, which is at the end of the air supply period. The opening of a mixed cooling valve of the hot blast stove. The control method of the hot blast stove as described in claim 5, wherein a limit value of the stable range boundary is adjusted according to a service life, a damage frequency, or a number of damages of the hot blast stove. The control method of the hot blast stove as described in claim 5, wherein in the step of calculating the predictive model, a fuel condition of the second cycle operation is also input into the predictive model calculation. The control method of a hot blast stove as described in claim 8, wherein the prediction model is based on a plurality of historical values corresponding to the hot blast stove operating parameter set, a plurality of historical values corresponding to the fuel conditions and the hot blast demand parameter set. The corresponding plural group of historical values, the corresponding plural historical values corresponding to the predicted hot air temperature and the corresponding plural historical values corresponding to the control parameter are used to establish the hot blast furnace operating parameter group through a machine learning algorithm or statistical method. , the correspondence relationship between the fuel condition, the hot air demand parameter group, the predicted hot air temperature, and the control parameters. A computer program product that, when loaded into a computer and executed, can accomplish any of the tasks described in claims 1 to 9 Control method of hot blast furnace.

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