KR101371704B1 - Optimal furnace temperature setting apparatus and optimal furnace temperature setting method - Google Patents

Abstract

The present invention relates to a device and a method for setting optimal temperature for a heating furnace. According to an embodiment of the present invention, the device for setting optimal temperature for furnace comprises: a modeling part for modeling the variation characteristics of predictive furnace temperatures in each zone relative to the set furnace temperature as a formula model by analyzing the history based on the current set furnace temperature, the measured furnace temperature of a heating furnace, and the temperature of materials; a variable determination part for variably determining the searching range of the set furnace temperature based on the history; and an optimal set temperature determination part for putting the set furnace temperature varied within the variably determined searching range in the formula model, calculating the predictive furnace temperature relative to each set furnace temperature using the formula model, and determining the set furnace temperature corresponding to the predictive furnace temperature closest to the target temperature of the materials among the calculated predicted furnace temperatures. [Reference numerals] (100) Modeling part; (110) Variable searching range determination part; (120) Optimal set temperature determination part

Description

OPTIMAL FURNACE TEMPERATURE SETTING APPARATUS AND OPTIMAL FURNACE TEMPERATURE SETTING METHOD}

The present invention relates to an optimum furnace setting device for a heating furnace and a method for setting the optimum furnace temperature thereof.

Furnace furnace setting optimization is the real-time determination of each optimum setting furnace in order to heat the various rolled materials charged to the furnace as close as possible to their respective target temperatures. The search range is fixed to a constant value to periodically find the optimal set temperature within that range. As a result, the optimum setting furnace resulting from the analysis of the optimization problem is often unreachable within the unit control time. This affects the target temperature of the material to reduce the accuracy of the prediction of the material temperature at the time of extraction, there is a problem that adversely affects the rolling.

There is a need in the art for an optimized furnace setting device for an improved furnace and an optimum furnace setting method thereof.

In order to solve the said subject, 1st aspect of this invention provides an optimum temperature setting apparatus. The optimum furnace setting device is a modeling unit for analyzing the historical performance based on the current set furnace, the measured furnace temperature and the material temperature of each unit in the furnace to model the fluctuation characteristics of the predicted furnace for the set furnace as a mathematical model, the past performance A search range variable determination unit that variably determines a search range of a set norm based on the variable range, and inputs the set norm into the formula model within the variable determined search range and calculates a predicted norm for each set norm using the formula model And an optimum setting furnace determining unit configured to determine, as an optimum setting furnace, a setting furnace corresponding to a prediction furnace closest to the target temperature of the material among the calculated prediction furnaces.

The second aspect of the present invention provides a method for setting an optimum temperature. The optimal furnace setting method is a process of modeling the fluctuation characteristics of the predicted furnace for the set furnace by a mathematical model by analyzing the past performance based on the current set furnace, the measured furnace temperature and the material temperature of each unit in the furnace, and A process of variably determining a search range of a set norm, a process of varying a set norm within a variable determined search range, inputting the formula to the formula model, and calculating a predicted norm for each set norm using the formula model; The method may include determining, as an optimum setting norm, a set furnace corresponding to the predicted furnace closest to the target temperature of the material among the calculated predicted furnaces.

In addition, the solution of the above-mentioned problems does not list all the features of the present invention. The various features of the present invention and the advantages and effects thereof will be more fully understood by reference to the following specific embodiments.

An improved furnace setting apparatus and an optimum furnace setting method of the improved heating furnace can be provided.

1 is a block diagram showing the configuration of an optimum furnace setting apparatus for a heating furnace according to an embodiment of the present invention; and
2 is a flowchart illustrating an optimum furnace setting method of an optimum furnace setting device for a heating furnace according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, the embodiments of the present invention can be modified into various other forms, and the scope of the present invention is not limited to the embodiments described below. Further, the embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art. The shape and size of elements in the drawings may be exaggerated for clarity.

The present invention relates to an optimum furnace setting device and a method for setting the optimum furnace of the furnace, in particular, modeling the fluctuation characteristics of the predicted furnace for the set furnace based on the past results as a mathematical model and the optimum of each unit based on the past results By changing the search range to find the set temperature in real time and applying it to the mathematical model, the optimum temperature setting device and the method of setting the optimal temperature for searching the optimal temperature only within the range that the heating furnace can reach under the operating conditions of the current furnace. It is about. Through this, the present invention can prevent the occurrence of the non-realizable temperature setting and improve the reliability of the optimum temperature setting program.

1 is a block diagram showing the configuration of an optimum furnace temperature setting device for a heating furnace according to an embodiment of the present invention.

As illustrated, the optimum furnace setting apparatus of the heating furnace includes a modeling unit 100, a search range variable determination unit 110, and an optimal setting furnace determination unit 120.

Referring to FIG. 1, the modeling unit 100 may be configured based on a current setting temperature of each unit in a heating furnace including a plurality of units of a charging stand, a preheating stand, a heating stand, and a cracking stand and a temperature of a measured furnace and a rolled material. Analyze past performances and model the fluctuation characteristics of the forecasting furnace for the set furnace by mathematical model.

Here, the variation characteristic of the predicted furnace with respect to the set furnace is modeled by the equation model of Equation 1 below.

[Equation 1]

Here, T _PV (s) / T _SV (s) represents a transfer function in the Laplace domain (s-domain) which shows the fluctuation characteristics of the predicted furnace with respect to the set furnace. Here, K means proportional gain constant, θ means delay time, and τ means response speed coefficient.

In this case, when Equation 1 on the Laplace domain is inverse Laplace transformed into an equation on the time domain, Equation 2 is obtained.

&Quot; (2) "

Here, a, b, c, and d denote an approximation coefficient, t denotes time, and N denotes the number of materials present in the corresponding zone. T _SV refers to the one currently set noon and, T _PV is the noon controlled in accordance with the current setting noon made refers to a corresponding one measurement noon measured by the measuring device (i.e., thermocouple) installed in each stand and, w _{pos, i} means the weight according to the position of the i material in the band, w _{skind , i} means the weight according to the steel grade of the i material, T _{slab , i} means the temperature of the i material. Here, τ is extracted from a group of the same or similar conditions as the current set furnace and measured furnace and material temperature of each unit in the furnace among all groups of past records, and based on the past records of the extracted group, a linear function or a nonlinear It is determined by determining the approximation coefficient assuming the function form. K and θ can also be determined according to conventional procedures in the field of "Automatic Control and System Identification."

The search range variable determiner 110 variably determines a search range of the set on the basis of past performance. That is, the search range variable determination unit 110 extracts past performance under the same conditions as at least one current condition among steel grade, product specification, working time, and rolling process, and calculates the set temperature of the extracted past performance. After calculating the average value by analyzing, the value obtained by adding the standard deviation from the calculated average value is determined as the search upper limit value of the set norm, and the value obtained by subtracting the standard deviation from the calculated mean value is determined as the search lower limit value of the set norm. do.

The optimally set norm determiner 120 may vary the set nos within the variable determined search range and input them to a mathematical model, and calculate a prediction norm for each set norm using the mathematical model. In addition, the optimum setting norm determination unit 120 determines, as an optimum setting norm, a setting furnace corresponding to a prediction furnace closest to a target temperature of a material among the calculated prediction furnaces.

2 is a flowchart illustrating an optimum furnace setting method of an optimum furnace setting device for a heating furnace according to an embodiment of the present invention.

Referring to FIG. 2, in operation 201, the optimum furnace setting apparatus includes a current setting furnace and a measurement furnace and a rolled material of each unit in a heating furnace including a plurality of units of a charging stand, a preheating stand, a heating stand, and a cracking stand through a modeling unit. The historical performance is analyzed based on the temperature of and modeled by the mathematical model for the fluctuation characteristics of the predicted furnace for the set furnace. Here, the fluctuation characteristics of the predicted norm with respect to the set norm are modeled by the equation model of Equation 1 or Equation 2.

In operation 203, the optimum temperature setting apparatus variably determines the search range of the set temperature based on past performances through the variable search range determination unit. That is, the optimum temperature setting device extracts past performance under the same conditions as at least one current condition among steel grade, product specification, working time, and rolling process, and calculates an average value by statistically analyzing the set temperature of the extracted past performance. After that, a value obtained by adding a standard deviation to the calculated mean value is determined as the search upper limit value of the set norm, and a value obtained by subtracting the standard deviation from the calculated mean value is determined as the search lower limit value of the set norm.

In operation 205, the optimum temperature setting device may input a predetermined temperature into a mathematical model by varying the predetermined temperature within a variable search range through the optimal temperature setting determiner, and use the mathematical model to predict the predicted temperature for each predetermined temperature. Calculate.

In operation 207, the optimum temperature setting device determines, as the optimum setting temperature, the setting temperature of the prediction temperature that is closest to the target temperature of the material among the calculated prediction temperature values through the optimum setting temperature determination unit.

Thereafter, the optimum temperature setting device ends the algorithm according to the present invention.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be obvious to those of ordinary skill in the art.

100: modeling unit
110: search range variable determiner
120: optimum setting determination unit

Claims (6)

Modeling unit for modeling the fluctuation characteristics of the predicted furnace for the set furnace by analyzing the past performance based on the current set furnace and measured furnace temperature and material temperature of each unit in the furnace,
A search range variable determiner that variably determines a search range of the set-on based on past performance,
A variable setting furnace is input within the determined search range and input into the equation model, and a prediction furnace for each setting furnace is calculated using the equation model, and the prediction is closest to the target temperature of the material among the predicted furnaces. An optimum temperature setting device including an optimum setting temperature determining unit that determines the setting temperature corresponding to the temperature setting as the optimum setting temperature.
The method of claim 1,
The fluctuation characteristic of the predicted furnace with respect to the set furnace is an optimum furnace setting device, characterized in that it is modeled by the equation model of the following equation (3).
&Quot; (3) "

Here, T _PV (t) / T _SV (t) represents a transfer function in the time domain that represents the fluctuation characteristics of the predicted furnace for the set furnace, K denotes a proportional gain constant, and t denotes time. is the delay time and τ is the response speed coefficient. a, b, c, and d represent approximate coefficients, and N represents the number of materials present in the table. T _SV stands for the current set furnace temperature of the corresponding zone, T _PV stands for the measured furnace temperature of the corresponding zone measured by thermocouple with the control of temperature according to the current set furnace temperature, and w _{pos , i} is the position of the i-th material in the zone. W _{skind , i} means the weight according to the steel grade of the i-th material, T _{slab , i} means the temperature of the i-th material. Here, τ is extracted by extracting a group having the same or similar conditions as the current set temperature and measured furnace temperature and material temperature of each unit among all the groups of past records, and determining an approximation coefficient based on the past results of the extracted group. , Determined.
The method of claim 1, wherein the search range variable determiner,
Extract past performance under the same conditions as at least one of steel grade, product specification, working time and rolling process,
Statistical analysis of the extracted noon set the historical results, calculate the average value,
A value obtained by adding a standard deviation to the calculated average value is determined as an upper limit search value of the set furnace,
And a value obtained by subtracting the standard deviation from the calculated average value as a search lower limit value of the set temperature.
The process of modeling the fluctuation characteristics of the predicted furnace for the set furnace by using a mathematical model by analyzing past performances based on the current set furnace and measured furnace temperature and material temperature of each unit in the furnace,
A process of variably determining the search range of the set horn based on past performance,
Varying a set norm within a variable search range and inputting the set norm into the formula model, and calculating a predicted norm for each set norm using the formula model;
The method of claim 10, further comprising determining the set temperature corresponding to the predicted temperature closest to the target temperature of the material among the predicted temperature values as the optimal set temperature.
5. The method of claim 4,
The fluctuation characteristic of the predicted furnace with respect to the set furnace is an optimum furnace setting method, characterized in that it is modeled by the equation model of the following equation (4).
&Quot; (4) "

Here, T _PV (t) / T _SV (t) represents a transfer function in the time domain that represents the fluctuation characteristics of the predicted furnace for the set furnace, K denotes a proportional gain constant, and t denotes time. is the delay time and τ is the response speed coefficient. a, b, c, and d represent approximate coefficients, and N represents the number of materials present in the table. T _SV stands for the current set furnace temperature of the corresponding zone, T _PV stands for the measured furnace temperature of the corresponding zone measured by thermocouple with the control of temperature according to the current set furnace temperature, and w _{pos , i} is the position of the i-th material in the zone. W _{skind , i} means the weight according to the steel grade of the i-th material, T _{slab , i} means the temperature of the i-th material. Here, τ is extracted by extracting a group having the same or similar conditions as the current set temperature and measured furnace temperature and material temperature of each unit among all the groups of past records, and determining an approximation coefficient based on the past results of the extracted group. , Determined.
The method of claim 4, wherein the step of variably determining the search range of the set norm,
Extracting past performance under the same conditions as at least one of steel grade, product specification, milling time, and rolling process;
Calculating a mean value by statistically analyzing the extracted noon set historical results;
Determining a value obtained by adding a standard deviation from the calculated average value as a search upper limit value of the set norm;
And determining a value obtained by subtracting a standard deviation from the calculated average value as a search lower limit value of the set temperature.

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