KR101185300B1 - Method for estimating position bordered to furnace wall of softening zone - Google Patents

Abstract

The present invention relates to a method for estimating the soft position near the soft melting zone, the step (S1) of extracting the furnace pressure data along the furnace radial direction (θ) and the furnace height direction (h), and the standard corresponding to the extracted furnace pressure data Converting to a deviation value (S2), and converting the converted standard deviation value to 1 if the set value is greater than or equal to 1, and converting it to 0 if the set value is less than the set value (S3).
The present invention is capable of macroscopic estimation or precision estimation of the position near the softening zone, it is possible to monitor the operation status of the blast furnace and to predict the abnormality of the blast furnace operation. Therefore, it is possible to control the charge distribution, stabilize the gas flow, and also improve the life of the stave.

Description

Method for estimating position bordered to furnace wall of softening zone

The present invention relates to a method for estimating the soft position near the soft fusion zone, and more particularly, to a method for estimating the position near the soft fusion zone to visualize the near position of the soft fusion zone.

The blast furnace is an upright type of reactor made of refractory bricks. The furnace is charged with raw materials such as iron ore, coke and limestone from the top, and the iron ore is heated and reduced with CO gas generated by the combustion of coke by hot air. Is a kind of continuous reactor that produces molten pig iron.

SUMMARY OF THE INVENTION An object of the present invention is to provide a method for estimating the position of the soft fusion zone near the continuous fusion estimation of the position of the soft fusion zone in the blast furnace in order to be able to monitor the operation status of the blast furnace and predict the abnormality of the blast furnace operation.

According to a feature of the present invention for achieving the above object, the present invention comprises the steps of extracting the furnace pressure data along the furnace radial direction (θ) and the furnace height direction (h); Converting a standard deviation value corresponding to the extracted furnace pressure data;

When the converted standard deviation value is greater than or equal to the set value, and converting it to 0 if less than the set value, quantifying the furnace pressure.

The standard deviation value calculates a standard deviation of the extracted furnace pressure data and the proximity pressure data for each height direction of the extracted furnace pressure data, and converts the value into a standard deviation value corresponding to the extracted furnace pressure data.

The quantified furnace pressure value is visualized on a 2D graph, and the boundary position of the softening fusion zone by the radial direction (θ) of the furnace is selected for the case where the quantified furnace pressure value is 1.

The 2D graph is a graph in which the horizontal axis (X axis) represents the furnace radius of the blast furnace, and the vertical axis (Y axis) represents the furnace height of the blast furnace.

Extracting the furnace body temperature data is further performed to derive root visualization values for localization of the softening zone.

The near visualization values are

Equation

Calculated by

Where T _R is the near-visible value, K is the proportionality constant for the Steave thermal conductivity coefficient, ρ is the quantitative furnace pressure data, T ₁₀ is the furnace temperature value at the time of near-expression of the softening zone, T ₉ One minute before the measurement time data T _10, T ₈ is the measurement time of 2 minutes before the data of the T _10, ... , T ₁ is 9 minutes before the measurement time of T _10. )

Visualize the values calculated by the above equation in the 2D graph,

Select the area near softening fusion zone as the temperature deviation is over the set value.

The 2D graph is a graph in which the horizontal axis (X axis) represents the furnace radius of the blast furnace, and the vertical axis (Y axis) represents the furnace height of the blast furnace.

The present invention estimates the near position of softening fusion zone by quantifying and visualizing furnace body pressure data through data processing, or estimates the near position of softening fusion zone by quantifying and visualizing furnace body pressure data and furnace body temperature data.

In this case, macroscopic or precise estimation of the location near the softening zone is possible, so it is possible to monitor the operation status of the blast furnace and to predict the abnormality of the blast furnace operation, thereby controlling the load distribution and stabilizing the gas flow. .

In addition, it is possible to prevent the sag near the softening fusion band by controlling the charge distribution during the operation of high draw ratio, it is also effective to improve the life of the stave.

1 is a schematic diagram of a furnace situation.
2 is a process diagram showing a method for estimating the soft position near the soft fusion zone using the furnace pressure data as an embodiment of the present invention
Figure 3 is a view showing a state visualized in the 2D graph near the soft fusion zone of an embodiment of the present invention.
Figure 4 is a process diagram showing a method of estimating the soft position near the soft fusion using the furnace pressure data and the furnace body temperature data in another embodiment of the present invention.
5 is a view showing the appearance of the softening fusion zone near the position of another embodiment of the present invention in a 2D graph.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The soft fusion zone near position estimation method of the present invention includes a method of extracting and quantifying furnace body pressure data to visualize the soft zone near the soft fusion zone.

As shown in FIG. 1, the situation in the furnace is divided into a block A, a soft fusion zone B, a dropping zone C, a combustion zone D, and a roadbed E from the top.

The inner shape of the softening fusion zone is distributed in reverse V type, horizontal type, W type, etc. according to the heat flow rate of the charge and the rising gas in the furnace radial and height directions.

In the indirect and direct reduction of iron ore in the softening fusion zone, reduced iron or unreduced iron (FeO) reacts with the slag component and becomes semi-melted, and coke forms a slit layer between them. When the temperature reaches 1520 ~ 1620K (1247 ~ 1347 ℃), the metal iron and slag phase become liquid phase and start to drop.

When the soft fusion zone is distributed in reverse V from the top to the bottom of Bosch, the cross section of the coke slit layer which is very breathable is wide, so that the yellowing is stabilized, and the high line operation is possible due to the increase of the air flow rate. On the other hand, when the softening fusion zone is distributed downward, the airflow resistance (pressure loss) increases, resulting in abnormal operation such as a slip phenomenon in which the charge drops suddenly and a hanging phenomenon in which the drop is stagnant, resulting in a decrease in operation efficiency. .

Thus, the shape of the softening fusion zone greatly affects the breathability of the high-temperature reducing gas, and as a result, the location and shape of the softening fusion zone is very high in the blast furnace operation because it affects the temperature distribution in the furnace, reduction of iron ore, aging and productivity. It is important.

However, since the furnace is large in size and continuously operated, it is difficult to measure or visualize the shape of the soft melting zone.

Therefore, as shown in FIG. 3, the position of the furnace pressure data along the furnace radial direction θ and the furnace height direction h is extracted and quantified to estimate the near position of the softening zone.

The process is, as shown in Figure 2, the step (S1) for extracting the furnace pressure data along the furnace radial direction (θ) and the furnace height direction (h), and converts the standard deviation value corresponding to the extracted furnace pressure data And a step S3 of quantifying the furnace pressure to 1 if the converted standard deviation value is greater than or equal to the set value and 0 if less than the set value. Here, the step of quantifying (S3) is a step of binarizing the converted standard deviation value.

The root position F is a portion where the softening zone B and the furnace 1 meet (see FIG. 1).

If the near position F is low, it will be close to the air vent 3, and the trouble of a furnace equipment will arise. For example, the lifetime of the stave disposed on the inner surface of the blast furnace shell for cooling the furnace body 1 during the high drawer ratio operation is shortened due to the sag near the softening zone.

Accordingly, the preliminary management is possible by controlling the distribution of the charges and estimating the stable temperature of the high-temperature reducing gas by estimating the near position (F) of the softening fusion zone (B).

In the step S1 of extracting the furnace pressure data along the furnace radial direction θ, the furnace pressure data is extracted in the furnace radial direction θ 0 to 360 degrees and the furnace height direction h.

For example, furnace body radial direction (theta) is 0 degree | times, 18 degree | times, 36 degree | times, 54 degree | times, 72 degree | times,. , 360 degrees, the furnace height direction h shown in FIG. 3 h1, B1 (upper), B2, B3... The furnace pressure data can be extracted for S9.

B1, B1 (upper), B2, B3... S9 is a furnace pressure value measured by the pressure gauge 5 installed in the furnace body, and corresponds to a range in which the root portion of the softening zone is located. For reference, when two pressure gauges are installed in the B1 region, B1 (upper) is a furnace pressure value measured by a pressure gauge located above the B1 region.

The step (S2) of converting the extracted furnace body pressure data to the standard deviation value corresponding to the extracted furnace body pressure data calculates the standard deviation of the extracted furnace body pressure data and the proximity pressure data for each height direction of the extracted furnace body pressure data, and extracts the value to the furnace body pressure data. Convert to the corresponding standard deviation value.

In the case of this embodiment, the standard deviation is calculated from the extracted furnace pressure data and the six upper and lower pressure data of the extracted furnace pressure data, and the value is converted into a standard deviation value corresponding to the extracted furnace pressure data.

For example, referring to Table 1 and Table 2 below, the standard deviation values of the extracted furnace pressure data (O degree, B1) are (O degree, B1), (O degree, B1), (O degree, B1 (upper phase). Calculate the standard deviation from the pressure data of)), (O degree, B1 (upper)), (O degree, B1 (upper)), convert the value to the standard deviation value of (O degree, B1), and (O The standard deviation values of degrees (B1 (upper)) are (O degrees, B1 (upper)), (O degrees, B1 (upper)), (O degrees, B1 (upper)), (0 degrees, B2), ( The standard deviation is calculated from the pressure data of 0 degrees, B2) and (0 degrees, B2) and the value is converted into the standard deviation value of (O degrees, B1 (upper)).

In the quantification step (S3), the furnace pressure is quantified by expressing 1 when the converted standard deviation value is greater than or equal to the set value and 0 if less than the set value.

In the present embodiment, the set value is 50. The set value 50 sets the value of the slope change portion in the pressure loss operation data, and is a value that can change according to the capacity and size of the blast furnace.

If the quantified furnace pressure value is 1, it means that a pressure loss has occurred. If the quantified furnace pressure value is 0, it means that no pressure loss has occurred.

The temperature of the ore and coke rises to about 900 ° C near the softening zone (B), and the hot air blown from the tuyere (3) produces a fusion mixture of ore and coke on the furnace wall, which reduces the particle voids. Loss (ventilation resistance) occurs. Estimate the near position (F) of the softening zone (B) by the pressure loss.

The quantitative furnace pressure value is visualized in a 2D graph (2D graph) (S4), and when the quantified furnace pressure value is 1, the boundary value of the vicinity of the softened fusion zone by the radial direction (θ) of the furnace is selected (S5). ). The 2D graph of FIG. 3 is a graph in which the horizontal axis represents the furnace radius of the blast furnace, and the vertical axis represents the furnace height of the blast furnace.

When the boundary value for the furnace body radial direction θ is selected for the case of the quantified furnace body pressure value 1, it is possible to index the root position and the root thickness of the furnace body in the radial direction θ.

In another embodiment, after extracting and quantifying the furnace body pressure data to visualize the position F near the softening zone (B), the furnace body temperature data along the radial direction (θ) of the furnace body for precision of the position near the softening zone (F) is obtained. The extraction may be further performed.

Since the furnace pressure data quantified using the furnace pressure data only shows the approximate position of the softening zone, the approximation of the softening zone is derived from the furnace pressure data and the furnace temperature data.

The process corresponds to the steps of extracting the furnace pressure data and the furnace temperature data along the furnace radial direction θ and the furnace height direction h as shown in FIG. 4 (S11 and S21), and corresponding to the extracted furnace pressure data. Step S12 of converting the standard deviation value into a standard deviation value, and quantifying the furnace pressure to 1 if the standard deviation value from which the furnace pressure data is converted is greater than or equal to the set value, and to zero if the set value is less than the set value (S13); Computing the local visualization values from the data and the extracted furnace temperature data value (S31).

Near visualization values

Equation

Calculated by

Where T _R is the near-visible value, K is the proportionality constant for the Stave thermal conductivity coefficient, ρ is the quantitative furnace pressure data, T ₁₀ is the furnace body temperature value at the time of near-expression of the softening zone, T ₉ is One minute before the measurement time data T _10, T ₈ is the measurement time of 2 minutes before the data of the T _10, ... , T ₁ is It is 9 minutes before the measurement time of T ₁₀ .

The values calculated by the equations are visualized in the 2D graph (S32), and a region where the temperature deviation is minimized is selected as the position near the softening zone (S33).

T _R is intended to be a calculated value for time series dispersion, and when T _R values are calculated and configured for all TC (temperature) data of each location installed in the furnace body, they are 2D graphed. That is, the data for 10 minutes of the furnace TC (temperature) is calculated through the above-described equation and visualized in the 2D graph. Here, in the 2D graph of FIG. 5, the horizontal axis represents the furnace radius of the blast furnace, and the vertical axis represents the furnace height of the blast furnace.

The 2D graph thus obtained is narrower in scope than the 2D graph visualized by quantifying the body pressure data, and the position estimation is more accurate.

Hereinafter, the method of estimating the soft position near the soft fusion zone of the present invention will be described.

<Example 1>

Estimation of the location near softening fusion zone using furnace body pressure data

First, the furnace pressure data is extracted along the furnace radial direction θ and the furnace height direction h (see FIG. 3 (S1).)

Extraction of the body pressure data is obtained by collecting raw data of 0 degree, 90 degree, 180 degree and 270 degree in the radial direction (θ) of the body and then estimating the values therebetween using interpolation. Use the extraction method.

Table 1 shows some of the furnace pressure data extracted.

Furnace height ＼ furnace radius 0 degrees 18 degrees 36 degrees 54 degrees 72 degrees 90 degrees One B1 3430 3426 3422 3418 3414 3410 2 B1 3430 3426 3422 3418 3414 3410 3 B1 (upper) 3417 3414 3411 3409 3406 3403 4 B1 (upper) 3403 3402 3401 3399 3398 3397 5 B1 (upper) 3390 3390 3390 3390 3390 3390 6 B2 3358 3358 3359 3359 3360 3360 7 B2 3325 3326 3327 3328 3329 3330 8 B2 3293 3294 3296 3297 3299 3300 9 B2 3260 3262 3264 3266 3268 3270 10 B3 3150 3142 3134 3126 3118 3110 11 B3 3040 3022 3004 2986 2968 2950 12 B3 (top) 3027 3011 2996 2981 2965 2950 13 B3 (top) 3013 3001 2988 2975 2963 2950 14 B3 (top) 3000 2990 2980 2970 2960 2950 15 S1 2975 2966 2956 2947 2938 2928 : : : : : : : :

[Pressure unit is g / cm 2 and B1, B2... S1 is the pressure gauge position, divided by the height of the furnace.]

As shown in Table 1, when the blast furnace pressure data is extracted in the furnace radial direction θ and the furnace height direction h, the standard deviation corresponding to the extracted furnace pressure data is extracted as shown in Table 2. Convert to a value.

For example, for the first extracted body pressure data (0 degrees, B1), calculating the standard deviation of 6 proximity data 3430, 3430, 3417, 3403, 3390, 3358 yields 27.81761, which is the first extracted body pressure. This is the standard deviation value of the data.

In addition, in the case of the second extracted furnace pressure data (0 degrees, B1), the standard deviation of six proximity data 3430, 3417, 3403, 3390, 3358, and 3325 is calculated to yield 39.29147, which is the value of the second extracted furnace pressure data. This is the standard deviation value.

Here, the reason why there are several B1, B1 (upper phase), B2, B3, and B3 (upper phase) is to consider the time difference when extracting the furnace pressure data.

Furnace height ＼ furnace radius 0 degrees 18 degrees 36 degrees 54 degrees 72 degrees 90 degrees One B1 27.81761 25.97435 24.14856 22.34452 20.56798 18.82669 2 B1 39.29147 37.52333 35.77456 34.04817 32.34772 30.67753 3     B1 (upper) 48.31609 46.90416 45.50214 44.11097 42.73172 41.36558 4     B1 (upper) 55.99272 54.86954 53.74907 52.63149 51.51699 50.40576 5     B1 (upper) 84.95097 87.69645 90.51335 93.39522 96.33622 99.3311 6 B2 120.2082 127.7748 135.3942 143.058 150.7594 158.4929 7 B2 129.6603 138.4246 147.2163 156.0308 164.8645 173.7143 8 B2 123.3646 131.5697 139.815 148.0939 156.401 164.7321 9 B2 102.54 108.6188 114.8059 121.0847 127.4417 133.8656 10 B3 61.00774 61.91335 63.04228 64.3828 65.92198 67.64627 11 B3 33.49544 30.13285 26.86406 23.72786 20.78434 18.12763 12 B3 (top) 39.04413 36.58536 34.17862 31.83569 29.57176 27.40641 13 B3 (top) 43.8009 42.08281 40.37968 38.69348 37.02652 35.38152 14 B3 (top) 46.77072 45.5235 44.27628 43.02906 41.78184 40.53462 15 S1 46.77072 45.5235 44.27628 43.02906 41.78184 40.53462 : : : : : : : :

When the converted standard deviation value of Table 2 is 50 or more, it converts to 1 if it is less than 50, and to 0. (Binary operation) The quantified furnace pressure is shown in Table 3.

Furnace height ＼ furnace radius 0 degrees 18 degrees 36 degrees 54 degrees 72 degrees 90 degrees One B1 0 0 0 0 0 0 2 B1 0 0 0 0 0 0 3 B1 (upper) 0 0 0 0 0 0 4 B1 (upper) One One One One One One 5 B1 (upper) One One One One One One 6 B2 One One One One One One 7 B2 One One One One One One 8 B2 One One One One One One 9 B2 One One One One One One 10 B3 One One One One One One 11 B3 0 0 0 0 0 0 12 B3 (top) 0 0 0 0 0 0 13 B3 (top) 0 0 0 0 0 0 14 B3 (top) 0 0 0 0 0 0 15 S1 0 0 0 0 0 0 : : : : : : : :

The furnace pressure values quantified in Table 3 were visualized (imaged) in the 2D graph as shown in (S4) of FIG. The value was chosen.

When the quantified furnace pressure value is 1, it means that a pressure loss has occurred, and a pressure loss occurs while aeration resistance is generated near the softening zone.

As such, when the furnace pressure data is used, the first macroscopic softening zone near position can be derived, and the thickness of the softening zone near the soft spot can be estimated from the 2D graph.

<Other Embodiments>

Estimation of the soft position near softening fusion zone using the furnace pressure data and the furnace temperature data

Another embodiment may be provided for secondary refinement after first deriving the macroscopic position of the soft fusion zone first.

To this end, the furnace body temperature data is further extracted along the furnace body radial direction θ and the furnace height direction h (see (S11, S21) in FIG. 5).

The data were measured in units of 1 minute and some of the furnace temperature data measured at 6:50 are shown in Table 4. The furnace body temperature data (TC) value is measured by the temperature sensor of each location installed in the furnace body.

Measuring time Nobody height Furnace radius Furnace temperature (℃) 6:50 : : : 6:50 B1 18 degrees 28 6:50 B2 18 degrees 37 6:50 B3 18 degrees 30 6:50 S1 18 degrees 29 6:50 S2 18 degrees 30 6:50 S3 18 degrees 33 6:50 S4 18 degrees 31 6:50 S5 18 degrees 127 6:50 S6 18 degrees 168 6:50 S7 18 degrees 214 6:50 S8 18 degrees 166 6:50 S9 18 degrees 128 6:50 TA 18 degrees 77 6:50 B1 36 degrees 28 6:50 B2 36 degrees 68 6:50 B3 36 degrees 29 6:50 S1 36 degrees 30 6:50 S2 36 degrees 32 6:50 S3 36 degrees 33 6:50 S4 36 degrees 32 6:50 S5 36 degrees 125 6:50 S6 36 degrees 217 6:50 S7 36 degrees 158 6:50 S8 36 degrees 184 6:50 S9 36 degrees 130 6:50 TA 36 degrees 78 : : : :

As shown in Table 5, when the furnace body temperature data is extracted from the furnace body in the furnace radial direction θ and the furnace height direction h, the extracted furnace body temperature data is converted as shown in Table 5.

Transformation equation

Is calculated by.

Here, T ₁₀ is the furnace temperature at the soft representation zone near the present time (current time), T ₉ is One minute before the measurement time data T _10, T ₈ is the measurement time of 2 minutes before the data of the T _10, ... , T ₁ is It is 9 minutes before the measurement time of T ₁₀ .

(06:59 base _ present time) Furnace height ＼ furnace radius 18 degrees 36 degrees 54 degrees 72 degrees 90 degrees 108 degrees One B1 0.00 0.00 0.00 0.00 0.00 0.00 2 B2 1.37 4.48 2.11 5.72 1.55 0.00 3 B3 0.52 1.16 0.79 0.70 0.42 2.20 4 S1 0.53 0.52 0.52 0.42 0.52 0.42 5 S2 0.52 0.88 0.88 0.48 0.74 0.48 6 S3 0.85 0.48 0.52 0.00 0.00 0.00 7 S4 0.00 0.32 0.82 0.53 0.52 0.42 8 S5 0.70 0.48 1.56 5.48 1.23 4.47 9 S6 1.32 3.41 1.41 3.40 2.28 2.35 10 S7 0.99 2.37 0.48 1.08 1.25 3.35 11 S8 0.70 0.48 0.42 0.42 0.46 0.70 12 S9 0.53 0.46 0.48 0.48 0.37 0.42 13 TA 0.48 0.47 0.52 0.52 0.26 0.00 : : : : : : : :

에 대입하여 근부 가시화 값을 산출한다.The converted furnace temperature data values of Table 2 and the quantified furnace pressure data (ρ)

Substituting into calculates the local visualization value.

Here, since the converted furnace temperature data value is a pre-calculated value, multiplying the converted furnace temperature data value by K and ρ yields a localized visualization value. ρ values are shown in Table 3 and K is a proportionality constant for the Stove thermal conductivity coefficient.

Table 6 shows a partial visualization value of the furnace temperature data and the furnace pressure data using the above-mentioned T _R equation.

Furnace height ＼ furnace radius 18 degrees 36 degrees 54 degrees 72 degrees 90 degrees 108 degrees One B1 0.00 0.00 0.00 0.00 0.00 0.00 2 B1 0.00 0.00 0.00 0.00 0.00 0.00 3 B1 (upper) 0.00 0.00 0.00 0.00 0.00 0.00 4 B1 (upper) 0.00 0.00 0.00 0.00 0.00 0.00 5 B1 (upper) 0.34 1.12 0.53 1.43 0.39 0.00 6 B2 0.36 2.24 1.06 2.86 0.77 0.00 7 B2 1.03 3.36 1.58 4.29 1.16 0.00 8 B2 1.37 4.48 2.11 5.72 1.55 0.00 9 B2 1.20 3.82 1.85 4.71 1.32 0.44 10 B3 1.03 3.15 1.58 3.71 1.10 0.88 11 B3 0.86 2.49 1.32 2.71 0.87 1.32 12 B3 (top) 0.69 1.82 1.05 1.70 0.65 0.76 13 B3 (top) 0.52 1.16 0.79 0.70 0.42 2.20 14 B3 (top) 0.52 1.00 0.72 0.63 0.45 1.76 15 S1 0.52 0.84 0.65 0.56 0.47 1.31 16 : : : : : : :

Root visualization values calculated in Table 6 were visualized (imaged) on a 2D graph as shown in FIG.

As shown in FIG. 5, it is confirmed that the position near the soft fusion zone is more precise than that in FIG. 3.

Through this, it is confirmed that the macroscopic estimation or the precision estimation of the position near the softening zone is possible. The location of the soft fusion zone near location estimation is performed continuously during the blast furnace operation to enable the blast furnace operation analysis according to the change in the location of the soft fusion zone near.

The scope of the present invention is not limited to the embodiments described above, but may be defined by the scope of the claims, and those skilled in the art may make various modifications and alterations within the scope of the claims It is self-evident.

1: old man 3: balloon
5: pressure gauge A: block
B: Softening Fusion C
D: Burning squad E: Street squad
F: Near position

Claims (8)

Extracting the furnace pressure data along the furnace radial direction θ and the furnace height direction h;
Converting a standard deviation value corresponding to the extracted furnace pressure data;
And quantifying the furnace pressure by converting the converted standard deviation value to 1 when the standard deviation value is greater than or equal to the set value and 0 when the converted standard deviation value is less than or equal to the set value. The method according to claim 1,
The standard deviation value is
Calculating a standard deviation of the extracted furnace pressure data and the proximity pressure data for each height direction of the extracted furnace pressure data, and converting the value into a standard deviation value corresponding to the extracted furnace pressure data. Location estimation method. The method according to claim 1,
The quantified body pressure value is visualized in a 2D graph,
The method of estimating the position of the vicinity of the softening fusion zone according to the case where the quantified furnace pressure value is 1, selects the boundary position of the vicinity of the softening fusion zone according to the furnace radial direction (θ). The method according to claim 3,
The 2D graph is a graph in which the horizontal axis (X axis) represents the furnace radius of the blast furnace, and the vertical axis (Y axis) represents the furnace height of the blast furnace. The method according to claim 1 or 2,
And extracting furnace body temperature data to derive root visualization values for localization of the softening zone. The method according to claim 5,
The near visualization values are
Equation

A method of estimating the soft position near the soft fusion zone, characterized in that calculated by.
Where T _R is the near-visible value, K is the proportionality constant for the Steave thermal conductivity coefficient, ρ is the quantitative furnace pressure data, T ₁₀ is the furnace temperature value at the time of near-expression of the softening zone, T ₉ One minute before the measurement time data T _10, T ₈ is the measurement time of 2 minutes before the data of the T _10, ... , T ₁ is 9 minutes before the measurement time of T _10. ) The method of claim 6,
Visualize the values calculated by the above equation in the 2D graph,
A method of estimating the soft position of the soft melting zone, characterized in that the area where the temperature deviation is greater than or equal to the set value is selected as the soft position of the soft melting zone. The method of claim 7,
The 2D graph is a graph in which the horizontal axis (X axis) represents the furnace radius of the blast furnace, and the vertical axis (Y axis) represents the furnace height of the blast furnace.

Images