CN110809620A - Fire drop time control method, fire drop time control guidance display device, coke oven operation method, and fire drop time control device - Google Patents
Fire drop time control method, fire drop time control guidance display device, coke oven operation method, and fire drop time control device Download PDFInfo
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- C—CHEMISTRY; METALLURGY
- C10—PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
- C10B—DESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
- C10B21/00—Heating of coke ovens with combustible gases
- C10B21/10—Regulating and controlling the combustion
Abstract
A fire fall time control method according to the present invention is a fire fall time control method for controlling fire fall time of each coking chamber in a coke oven in which a combustion chamber and a coking chamber are alternately connected to form an oven group, the fire fall time control method including: a step of obtaining a relational expression in which the flame fall time of each carbonization chamber is set as a target variable and information on the furnace temperature of each carbonization chamber is set as an explanatory variable; predicting a next fire drop time based on the relational expression and a recent temperature change tendency of the furnace temperature in a predetermined period; a step of calculating a temperature operation amount for each carbonization chamber so that the predicted next fire drop time becomes a predetermined target fire drop time; and a step of converting the temperature operation amount of each of the carbonization chambers into the temperature operation amount of each of the combustion chambers.
Description
Technical Field
The present invention relates to a fire fall time control method, a fire fall time control guidance display device, a coke oven operation method, and a fire fall time control device for a coke oven in which a combustion chamber and a coking chamber are alternately connected to form an oven group.
Background
In a coke oven in which a plurality of combustion chambers and coking chambers are alternately connected to form an oven group, coal charged into the coking chambers is dry distilled by heat from the adjacent combustion chambers, thereby producing coke. In the coke oven, in order to reduce unnecessary consumption of the heat of retort, it is necessary to reduce the difference in the fire fall time of the coking chamber. The reason is that, in order to operate the coke oven so as not to generate coke that has not been dry-distilled, the operation schedule is determined based on the coking chamber having the longest fire drop time, and thus, excessive heat is consumed.
For example, the techniques of patent documents 1 and 2 are known as a method for solving such problems. The techniques disclosed in patent documents 1 and 2 construct a regression equation of the furnace temperature and the flame off time for each coking chamber, calculate a target value of the temperature for each combustion chamber so that the flame off time reaches the target value, and guide the operator with the amount of operation of the gas cock for achieving the target value of the temperature.
Patent document 1: japanese laid-open patent publication No. 2012-153882
Patent document 2: japanese patent laid-open No. 2014-74163
However, in the techniques disclosed in patent documents 1 and 2, the future change of the flame off time, which depends on the dynamics of the coking chamber, is not considered when determining the target temperature value for each combustion chamber. The coke oven has a characteristic that a time constant of response to an operation such as an oven temperature operation is long because a heat capacity of an oven body is large. Therefore, in order to control the furnace temperature of the carbonization chamber, it is desirable to rationalize the operation such as the furnace temperature operation based on the future flame fall time prediction. For example, even if the current fire fall time is not longer than the target value, the future fire fall time is expected to gradually approach the target value when the furnace temperature in the carbonization chamber tends to increase due to the cumulative effect of the operation such as the past furnace temperature operation. In such a case, if an action such as an oven temperature operation is taken with reference to only the latest fire fall time, an excessive action may occur.
Disclosure of Invention
The present invention has been made in view of the above-described problems, and an object thereof is to provide a fire drop time control method, a fire drop time control guidance display device, a coke oven operation method, and a fire drop time control device, which are capable of determining a reasonable temperature operation amount for each coking chamber in consideration of future changes in fire drop time.
In order to solve the above-described problems and achieve the object, a fire fall time control method according to the present invention is a fire fall time control method for controlling a fire fall time of each coking chamber in a coke oven of a furnace group constituted by alternately connecting combustion chambers and coking chambers, the fire fall time control method including: a step of obtaining a relational expression in which the flame fall time of each of the carbonization chambers is used as a target variable and information on the furnace temperature of each of the carbonization chambers is used as an explanatory variable; predicting a next fire drop time based on the relational expression and a recent temperature change tendency of the furnace temperature in a predetermined period; a step of obtaining a temperature operation amount for each of the coking chambers so that a predicted next fire drop time becomes a preset target fire drop time; and a step of converting the temperature operation amount of each of the coking chambers into a temperature operation amount of each of the combustion chambers.
In addition, the fire fall time control guidance display device according to the present invention is characterized by displaying a predicted value of the next fire fall time for each of the coking chambers and a temperature manipulated variable for each of the combustion chambers, which are calculated by the fire fall time control method according to the present invention.
Further, a method of operating a coke oven according to the present invention is a method of operating a coke oven in which combustion chambers and coking chambers are alternately connected to form an oven group, and includes a step of controlling a fire fall time of each coking chamber by using the method of controlling a fire fall time of the present invention.
Further, a fire fall time control device according to the present invention is a fire fall time control device for controlling a fire fall time of each coking chamber in a coke oven of an oven group configured by alternately connecting combustion chambers and coking chambers, the fire fall time control device including: a relational expression calculation unit that obtains a relational expression in which the flame fall time of each of the carbonization chambers is set as a target variable, and information on the furnace temperature of each of the carbonization chambers is set as an explanatory variable; next-time flame fall time prediction means for predicting a next flame fall time based on the relational expression and a recent temperature change tendency of the furnace temperature in a predetermined period; a temperature operation amount calculation unit that calculates a temperature operation amount for each of the carbonization chambers so that a predicted next fire drop time becomes a target fire drop time; and a temperature operation amount conversion unit that converts the temperature operation amount for each of the carbonization chambers into a temperature operation amount for each of the combustion chambers.
The fire drop time control method, the fire drop time control guidance display device, the coke oven operation method, and the fire drop time control device according to the present invention have an effect of determining a reasonable temperature operation amount for each coking chamber in consideration of the future change in fire drop time.
Drawings
FIG. 1 is a schematic view showing the overall configuration of a coke oven according to the present embodiment.
Fig. 2 is a flowchart of the fire drop time control according to the present embodiment.
Fig. 3 is a diagram showing a process of considering local regression.
Fig. 4 is a flowchart showing the flow of each process performed in the regression equation construction step.
Fig. 5 is a diagram showing a method of predicting the fire fall time based on the previous work result.
Fig. 6 is a graph showing an example of temperature measurement data in the latest predetermined period of each combustion chamber located on both adjacent sides of the coking chamber.
Fig. 7 is an explanatory diagram of prediction of the next fire fall time with the actual result value of the previous fire fall time as the base point.
Fig. 8 is a graph showing the accuracy of the predicted value of the next fire fall time calculated in the fire fall time prediction step.
Fig. 9 is a diagram showing an example of guidance information displayed on the guidance display device.
Fig. 10(a) is a histogram of the deviation of the actual fire drop time for each coking chamber in the comparative example. Fig. 10(b) is a histogram of the deviation of the actual fire drop time for each coking chamber in the example of the present invention.
Fig. 11(a) is a histogram of the furnace temperature of each carbonization chamber in the comparative example. Fig. 11(b) is a histogram of the furnace temperature of each carbonization chamber in the example of the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings, in which preferred embodiments of the present invention are illustrated in the drawings. The present invention is not limited to the present embodiment.
Fig. 1 is a schematic diagram showing the overall configuration of a coke oven 1 according to the present embodiment. The coke oven 1 shown in FIG. 1 is provided with N combustion chambers 2(2-1 to 2-N) and N-1 coking chambers 3(3-1 to 3- (N-1)), and these combustion chambers and coking chambers are alternately connected and arranged to constitute an oven group. In the coke oven 1, coal as a raw material is charged into each coking chamber 3, and fuel gas G is supplied to each combustion chamber 2, and the coking chambers 3 are heated by the heat generated from the combustion chambers on both sides, whereby the coal in each coking chamber 3 is carbonized to produce coke.
In the coke oven 1, each combustion chamber 2 is connected to the other end side of the N branched gas main pipes 4, one end of which is connected to a gas supply source, not shown, by piping, and the fuel gas G is supplied to each combustion chamber 2. A gas cock 5 for adjusting the flow rate of the fuel gas G supplied to the entire furnace group (the total flow rate of the fuel gas G supplied to each combustion chamber 2) is provided on one end side of the gas main pipe 4, and gas cocks 6(6-1 to 6-N) for finely adjusting the flow rate of the gas distributed by the branching on the other end side and supplying the gas to each combustion chamber 2 are provided on the other end side of each branching. The opening degree of the gas taps 5 and 6 (gas tap opening degree) is controlled by the controller 10.
The control unit 10 monitors and controls the states of the combustion chambers 2 and the coking chambers 3, manages the operation of the coke oven 1, adjusts the gas cock opening degree of the gas cock 5, controls the flow rate of the fuel gas G supplied to the entire oven group so that the average value of the fire fall time of the entire oven group (the average value of the actual fire fall time of each coking chamber 3) becomes the target fire fall time, and finely adjusts the gas cock opening degree of each gas cock 6 to control the flow rate of the fuel gas G supplied to each combustion chamber 2, thereby managing the operation of the coke oven 1 so that the elapsed time from the time when all the coals in each coking chamber 3 are coked to the time when the coals are charged, that is, the actual fire fall time is almost the same as the time during the coking chambers 3.
The control unit 10 is connected to a storage unit 20, and the storage unit 20 stores various programs and data necessary for monitoring and controlling the states of the combustion chambers 2 and the carbonization chambers 3. In addition, in the storage unit 20, for example, operation performance data such as an actual result flame off time at a plurality of previous operations, an actual result coking chamber temperature of each coking chamber 3, an actual result combustion chamber temperature of each combustion chamber 2, and an actual result gas cock opening degree of each gas cock 6 for supplying the fuel gas G to each combustion chamber 2, and a target flame off time are cumulatively stored. The storage unit 20 is implemented by various storage media such as a memory and a hard disk. In the present embodiment, the control unit 10, the storage unit 20, the input device 30, and the like constitute a fire and fall time control device, and the input device 30 receives an input operation from an operator and transmits information input to the control unit 10. The guide display device 40 shown in fig. 1 displays guide information output from the control unit 10.
Fig. 2 is a flowchart of the fire drop time control according to the present embodiment. In the fire fall time control according to the present embodiment, as shown in fig. 2, the fire fall time of each coking chamber 3 is controlled by performing the processes of the regression equation constructing step S1, the fire fall time predicting step S2, the coking chamber temperature manipulated variable calculating step S3, and the combustion chamber temperature manipulated variable converting step S4.
(regression equation construction step S1)
First, a regression equation constructing step S1 is described, in which a regression equation, which is a relational expression in which the flame fall time of the coking chamber 3 is set as a target variable and information on the furnace temperature of the coking chamber 3 is set as an explanatory variable, is constructed in the regression equation constructing step S1, although the flame fall time of the coking chamber 3 is affected by the moisture content or the coal charge amount of the coal charged into the coking chamber 3, the furnace temperature of the coking chamber 3, and the like, in this case, a regression equation in which the target variable is set as the flame fall time and the explanatory variable is set as the furnace temperature of the coking chamber 3 is constructed for each coking chamber 3, as disclosed in japanese patent application laid-open No. 2004-5189, a thinking manner of applying a local regression equation shown in fig. 3 is described, in which "○" is operation data, "a surface expressed by oblique lines" is a local regression equation, "an arrow" is a description of operation data, "a combustion equation" is a description of a local regression equation, "an arrow" is a description of the charge amount or the moisture of the coal, and other description variables such as linear values of the furnace temperature, and the process variables can be measured without the temperature change depending on the furnace temperature, and the process temperature, and the process variables of the gas can be measured.
Fig. 4 is a flowchart showing the flow of each process performed in the regression equation construction step S1. The regression equation construction step S1 is started at a timing indicating execution of the regression equation construction step S1 by the operator operating the input device 30 to thereby input the explanatory variables of the prediction target, and the regression equation construction step S1 proceeds to the processing of step S11.
In the processing of step S11, the control unit 10 normalizes the explanatory variables included in the work performance data and the explanatory variables (data of all the explanatory variables) to be predicted. If the original physical multiplier is maintained, the value of the explanatory variable differs depending on the unit. Therefore, by normalizing the explanatory variables, the similarity between the explanatory variables (between the operation conditions) can be defined by the same index. Thus, the process of step S11 is completed, and the regression equation construction step S1 advances to the process of step S12.
In the processing of step S12, the control unit 10 calculates a weight corresponding to the similarity of the explanatory variable (data) to be predicted for each job performance data (past data). Specifically, let x [ i ] be a vector that lists the normalized values of explanatory variables](i is 1 to N, where N is the number of pieces of work performance data) and x is a vector of an explanatory variable to be predicted, the control unit 10 uses the following expression (1) for each piece of work performance data x [ i [ -i ]]To calculate a weight A [ i ] corresponding to the degree of similarity of the explanatory variable x of the prediction object]. The parameter a in the following expression (1) is a weight parameter and is a parameter that is adjusted as occasion demands. In the present embodiment, the parameter a is set to 10-4A fixed value of (2).
[ numerical formula 1]
A[i]＝exp(﹣a×|x﹣x[i]|2)…(1)
Thus, the process of step S12 is completed, and the regression equation construction step S1 advances to the process of step S13.
In the processing of step S13, the control unit 10 calculates a weight corresponding to a time difference between the time of day of the data to be predicted and the time of day of acquisition of the work performance data (past data) for each piece of work performance data. Specifically, when the acquisition time date of the ith work performance data is defined as date [ i ] (i is 1 to N, and N is the number of work performance data) and the time date of the data to be predicted is defined as date, the control unit 10 calculates a weight B [ i ] corresponding to a time difference between the time date of the data to be predicted and the acquisition time date [ i ] of the work performance data for each work performance data x [ i ] by using the following expression (2). The parameter C in the following expression (2) is an adjustment parameter called a forgetting coefficient. In the present embodiment, the parameter C is a fixed value of 100[ days ].
[ numerical formula 2]
B[i]＝exp(﹣(date﹣date[i])/C)…(2)
Thus, the process of step S13 is completed, and the regression equation construction step S1 advances to the process of step S14.
In the process of step S14, the control unit 10 calculates the weight W [ i ] of each job performance data x [ i ] by substituting the weights a [ i ] and B [ i ] calculated in the process of step S12 and the process of step S13 into the following expression (3).
[ numerical formula 3]
W[i]＝A[i]×B[i]…(3)
Then, the control unit 10 multiplies the explanatory variable and the target variable (fire fall time) by the weight W [ i ] and performs multiple regression analysis on each of the work performance data x [ i ], thereby constructing a regression equation representing the relationship between the explanatory variable and the target variable. By this processing, a regression equation can be constructed in which the job performance data having a high similarity to the explanatory variable (job condition) and the latest job performance data are emphasized. Further, for example, a known technique disclosed in japanese patent application laid-open No. 2004-355189 and the like can be used as a calculation method of the regression equation, and a detailed description thereof will be omitted here.
Thus, the process of step S14 is completed, and a series of regression equation construction steps S1 ends.
Here, since the furnace temperature data, which is data for each combustion chamber, is associated with the flame drop data, which is data for each carbonization chamber, it is necessary to convert the temperature information into data for each carbonization chamber. Therefore, in the present embodiment, the temperatures of the combustion chambers 2 located on both sides of the coking chamber 3 adjacent to each other are averaged over 15 hours from the time of charging coal into the coking chamber 3 for each operation, and thereby the furnace temperature per coking chamber is defined.
(fire fall time predicting step S2)
Next, the fire drop time prediction step S2 for predicting the next fire drop time will be described. The coke oven 1 is affected by various external disturbances such as the kind of coal charged and the state of the adjacent coking chambers 3, which change from moment to moment. Therefore, a prediction of the fire drop time reflecting the influence of such external disturbances is required. Then, in the fire fall time prediction step S2, as shown in fig. 5, the influence coefficient coef on the fire fall time at the time of temperature operation obtained by local regression is multiplied by the future temperature change amount δ T with the previous fire fall time and the furnace temperature as base points to predict the change amount of the fire fall time, and the actual value of the previous fire fall time is added to the predicted change amount of the fire fall time to predict the next fire fall time. When this is expressed by a numerical expression, it is expressed by the following numerical expression (4). Note that "NCT (last time)" in the following expression (4) is an actual result value of the last fire drop time, and "NCT (predicted)" is a predicted value of the next fire drop time.
[ numerical formula 4]
NCT (predicted) ═ NCT (last) + future temperature change δ T × influence coefficient coef … (4)
As a method for obtaining the future temperature change amount δ T, as shown in FIG. 6, a regression equation is constructed from temperature measurement data in the latest predetermined period of each of the combustion chambers 2W and 2E located on both adjacent sides of the coking chamber 3, and the future temperature change amount δ T is obtained from the gradient [. degree.C./hr ]. times.20 [ hr ] of the regression equation. The gradient of the regression equation indicates a temperature change tendency of the furnace temperature, and fig. 6 indicates that the furnace temperature of the carbonization chamber 3 tends to increase. The above-mentioned 20[ hr ] is a time (one-time operation time) from the time of charging the coking chamber 3 with char in the preceding operation to the time of charging the coking chamber 3 in the following operation in the coke oven 1 according to the present embodiment.
As described above, in the fire drop time prediction step S2, as shown in fig. 7, when the next fire drop time is predicted, the next fire drop time can be predicted along with the change in the next fire drop time even when the next fire drop time changes due to disturbance, using the previous actual value of the fire drop time as the base point.
Fig. 8 is a graph showing the accuracy of the predicted value of the next fire drop time calculated in the fire drop time prediction step S2. In fig. 8, the abscissa indicates the actual result value of the previous fire drop time, and the ordinate indicates the predicted value of the next fire drop time. As can be seen from fig. 8, the Root Mean Square Error (RMSE) is 1.2[ hr ], and the next fire drop time can be predicted with high accuracy in the fire drop time prediction step S2.
(carbonization chamber temperature operation amount calculating step S3)
Next, the carbonization chamber temperature operation amount calculating step S3 for calculating the recommended temperature operation amount for each carbonization chamber 3 so that the recommended temperature operation amount reaches the target value of the next fire drop time in advance in the carbonization chamber temperature operation amount calculating step S3 will be described based on the predicted value of the next fire drop time. In the carbonization chamber temperature operation amount calculation step S3, the recommended temperature operation amount Δ T (recommended) is obtained by the following equation (5) with the target value of the next firing time set to NCT _ ref. Further, "a" in the following expression (5) is a relaxation coefficient for reducing overshoot, and is an arbitrary value satisfying 0 < a ≦ 1.
[ numerical formula 5]
Δ T (recommended) ═ NCT _ ref-NCT (predicted))/influence coefficient coef × a … (5)
(Combustion chamber temperature operation amount changeover step S4)
Next, a description will be given of a combustion chamber temperature operation amount changeover step S4 of changing the recommended temperature operation amount for each carbonization chamber 3 to the temperature operation amount for each combustion chamber 2 in the combustion chamber operation amount changeover step S4. The recommended temperature operation amount obtained by using the above equation (5) is an amount corresponding to the temperature of the coking chamber 3, but actually, the operator can operate the temperature of the combustion chamber 2. Therefore, in the combustion chamber temperature operation amount conversion step S4, the recommended temperature operation amount for each carbonization chamber 3 found in the carbonization chamber temperature operation amount calculation step S3 is converted into the temperature operation amount for each combustion chamber 2. Here, as shown in the following equation (6), the recommended temperature operation amounts (Δ T (recommended) _ (carbonization chamber X) and Δ T (recommended) _ (carbonization chamber X +1)) of the carbonization chamber X and the carbonization chamber X +1 located on both adjacent sides of a certain combustion chamber are averaged, and thereby the temperature operation amount Δ T (recommended) _ (FlueX) of the combustion chamber is obtained.
[ numerical formula 6]
Δ T (recommended) — (FlueX) ═ Δ T (recommended) _ (carbomorphism chamber X) + Δ T (recommended) _ (carbomorphism chamber X +1))/2 … (6)
Fig. 9 is a diagram showing an example of guidance information displayed on the guidance display device 40. As shown in fig. 9, the operator can easily determine how to adjust the gas cock opening degree of each gas cock 6 so that the next firing time of each coking chamber 3 reaches the target value, for example, by displaying the predicted value of the next firing time of each coking chamber 3, which is obtained in the firing time prediction step S2, the temperature operation amount of each combustion chamber 2, which is obtained in the combustion chamber temperature operation amount conversion step S4, and the like as guidance information on the guidance display device 40 and guiding the operator.
(examples)
As an example of the present invention to which the fire fall time control method according to the present invention is applied, the operation of the coke oven 1 is performed by adjusting the gas cock opening degree of each gas cock 6 using the predicted value of the next fire fall time and the guide value of the temperature operation amount of the combustion chamber 2 calculated in the regression equation constructing step S1 to the combustion chamber temperature operation amount converting step S4. As a comparative example, the fire fall time control method according to the present invention is not applied, and the operation of the coke oven 1 is performed by adjusting the gas cock opening degree of each gas cock 6 by, for example, a conventional method.
Fig. 10(a) is a histogram of the deviation of the actual fire drop time for each coking chamber 3 in the comparative example. Fig. 10(b) is a histogram of the deviation of the actual fire drop time for each coking chamber 3 in the example of the present invention. As shown in fig. 10(a), the average time of the actual fire drop time per coking chamber 3 in the comparative example was 16.0[ hr ], and the standard deviation (σ) was 1.45[ hr ]. In contrast, as shown in fig. 10(b), the average time of the actual fire drop time per carbonization chamber 3 in the example of the present invention was 16.9[ hr ], and the standard deviation (σ) was 1.24[ hr ]. As described above, by applying the fire drop time control method according to the present invention, it can be confirmed that the difference in actual fire drop time among the coking chambers 3 is reduced.
Fig. 11(a) is a histogram of the furnace temperature of each carbonization chamber 3 in the comparative example. Fig. 11(b) is a histogram of the furnace temperature of each carbonization chamber 3 in the example of the present invention. In the present invention examples and comparative examples, the operation rate of the coke oven 1 was constant.
As shown in fig. 11(a), the average furnace temperature of each carbonization chamber 3 in the comparative example was 1230[ ° c ]. In contrast, as shown in FIG. 11(b), the average furnace temperature of each carbonization chamber 3 in the example of the present invention was 1202[ ° C ]. As described above, it was confirmed that, by applying the fire drop time control method according to the present invention, the difference in actual fire drop time between the individual coking chambers 3 is reduced as described above with respect to the conventional example, and as a result, the furnace temperature of each coking chamber 3 is reduced under the condition that the operation rate of the coke furnace 1 is constant.
Industrial applicability
According to the present invention, it is possible to provide a fire fall time control method, a fire fall time control guidance and display device, a coke oven operation method, and a fire fall time control device, which can determine a reasonable temperature operation amount for each coking chamber in consideration of the future fire fall time transition.
Description of the reference numerals
A coke oven; a combustion chamber; a carbonization chamber; a gas main pipe; a gas cock; a gas cock; 10.. a control portion; a storage portion; an input device; guide a display device.
Claims (4)
1. A method for controlling the ignition fall time of each coking chamber in a coke oven in which a combustion chamber and a coking chamber are alternately connected to form an oven group,
the fire drop time control method is characterized by comprising:
a step of obtaining a relational expression in which the flame fall time of each of the carbonization chambers is used as a target variable, and information on the furnace temperature of each of the carbonization chambers is used as an explanatory variable;
predicting a next fire drop time based on the relational expression and a recent temperature change tendency of the furnace temperature in a predetermined period;
a step of calculating a temperature operation amount for each of the coking chambers so that a predicted next fire drop time becomes a preset target fire drop time; and
converting the temperature operation amount of each of the carbonization chambers into a temperature operation amount of each of the combustion chambers.
2. A fire drop time control and guide display device is characterized in that,
displaying a predicted value of a next fire fall time of each of the carbonization chambers and a temperature operation amount of each of the combustion chambers, which are calculated using the fire fall time control method according to claim 1.
3. A method of operating a coke oven in which a combustion chamber and a coking chamber are alternately connected to form an oven group,
the method for operating a coke oven is characterized in that,
comprising the step of controlling the fire fall time of each carbonization chamber using the fire fall time control method according to claim 1.
4. A fire fall time control device for controlling the fire fall time of each coking chamber in a coke oven in which a combustion chamber and a coking chamber are alternately connected to form an oven group,
the fire drop time control device is characterized by comprising:
a relational expression calculation unit that obtains a relational expression in which the flame fall time of each carbonization chamber is set as a target variable, and information on the furnace temperature of each carbonization chamber is set as an explanatory variable;
a next fire fall time prediction unit that predicts a next fire fall time based on the relational expression and a recent temperature change tendency of the furnace temperature in a predetermined period;
a temperature operation amount calculation unit that obtains a temperature operation amount for each of the carbonization chambers so that a predicted next fire drop time becomes a target fire drop time; and
a temperature operation amount conversion unit that converts the temperature operation amount of each of the carbonization chambers into a temperature operation amount of each of the combustion chambers.
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| JP2017-127556 | 2017-06-29 | ||
| JP2017127556 | 2017-06-29 | ||
| PCT/JP2018/018508 WO2019003670A1 (en) | 2017-06-29 | 2018-05-14 | Carbonization end time control method, carbonization end time control guidance display device, coke furnace operation method, and carbonization end time control device |
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| JP6673490B2 (en) | 2020-03-25 |
| KR20190131119A (en) | 2019-11-25 |
| CN110809620B (en) | 2021-08-27 |
| JPWO2019003670A1 (en) | 2019-06-27 |
| KR102292145B1 (en) | 2021-08-20 |
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