JPH0593215A - Apparatus for controlling distribution of charged materials into bell-less blast furnace - Google Patents

Abstract

(57) [Summary] [Purpose] Taking into consideration the operating conditions such as the strength and transition tendency of the gas flow in the furnace of the blast furnace, the charging wait and wind reduction, the action history of the distribution of charged materials, the amount of residual pig iron and the state of tapping Then, the action means and the action amount for optimizing the gas flow distribution are determined. [Structure] A means for fetching data from various sensors installed in the blast furnace into the process computer at a predetermined cycle, and noise-removed data based on operating experience and knowledge base obtained from model experiments , A method for inferring the strength and transition tendency of the gas flow regarding the peripheral flow and the local flow, and the result as the strength and the transition tendency of the gas flow based on the information about charging and wind reduction and the knowledge base on the gas flow. A means for combining and a turning chute (hereinafter T
It is referred to as S) and has a means for determining an action amount by applying it to an action determination matrix, and the action amount is transmitted to a programmable controller to automatically control the charge distribution.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention controls a gas flow in a radial direction and a circumferential direction of a bellless blast furnace by controlling a charge distribution in the furnace to stabilize the gas flow distribution and operation. Regarding the device.

[0002]

2. Description of the Related Art FIG. 22 is a view showing the distribution control of the charge and the condition inside the furnace, and Table 1 is a table showing the position and shape of the melting zone and the operating condition.

[0003]

[Table 1]

Generally, a large amount of reducing gas (hereinafter referred to as a gas) generated by the combustion of coke flows in the central part of the blast furnace, a central flow, a large amount of flowing gas in the furnace wall, a peripheral flow, and a large amount of local flow. Is called local flow. Usually, coke has a larger grain size than ore as a raw material to be charged into a blast furnace, and coke does not undergo reduction and pulverization, so coke has better air permeability. Further, in the zone where the ore melts (hereinafter referred to as the melting zone), the ventilation resistance of the ore layer is 200 to 300 times that of the coke layer, and the gas passes through the coke layer (the coke layer in the melting zone is hereinafter referred to as the slit). Flowing.

When a large amount of coke is charged in the center of the blast furnace, it becomes a central flow, the melting zone shape becomes Mt. Fuji shape, the number of slits increases, and the gas flow becomes stable. It is said that when a large amount of coke is charged into the furnace wall, it becomes a peripheral flow, which is useful for removing the deposits on the furnace wall. Furthermore, if a large amount of local flow occurs, it becomes a local flow, which causes a sudden abnormal reactor condition such as blow through or slip. Therefore, for stable operation, control the radial charge distribution in the furnace to stabilize the gas flow, detect the occurrence of local flow and control the circumferential charge distribution to grow the local flow. It is necessary to prevent

In the case of a bellless blast furnace, charging of raw materials is performed by opening and closing the flow control gate. Then, one opening / closing operation of the flow control gate is called a batch, and coke and ore are charged in several batches (for example, 2 batches of coke and 3 batches of ore). This is called 5 batch charging, and 5 batches are collectively called 1 charge. In normal operation, the charging interval is about 10 minutes.

FIG. 23 shows a furnace top hopper, a flow control gate and a T
It is a figure showing the installation situation of S. In the figure, 51,5
2 is a furnace top bunker, and the charging raw material 5 is in the furnace top bunker 51.
For example, coke is charged as 3, and ore is charged as the charging raw material 54 in the furnace top bunker 52. 55 is a flow rate control gate, and 56 is a seal valve. Reference numeral 57 is a TS, and 58 is a surface of the charging material. In order to control the landing position of the raw material that falls freely from TS57, TS57 of the bellless blast furnace has a vertical angle of 20 from the center toward the furnace wall.
The turning start point is divided into 24 points in the circumferential direction at -60 °. Then, the distribution control in the radial direction is performed by changing the turning angle of the TS 57 in charge units, and the distribution control in the circumferential direction is performed by changing the turning start point in batch units.

Up to now, the relationship between the turning angle of the TS and the distribution of the charge has been described, for example, in "Material and Process VOL. 71, MAR.
1985, NO. 4, Discussion 4 (Diversification of charge distribution control in bell-type and bell-less type blast furnaces.) However, the content is intermittently measured layer pressure distribution of coke and ore in the furnace with a sonde. The relationship between the TS action and the charge distribution is formulated based on the results obtained from the outdoor model test, and the amount of action is determined from the strength of the gas flow and the tendency of transition in the actual operation. A consistent system technology for controlling the gas flow distribution has not been established yet, and a technology for predicting blow-through or slip based on sensor information is disclosed in, for example, "JP-A-62-62 However, this is a system for the purpose of predicting blow through and slip, and is not a consistent system for optimizing the gas flow distribution in the blast furnace. Flat 2-18281
No. 5 publication ”, a method of controlling the movable armor, stock line (hereinafter referred to as SL) ore base, use ratio of fine-grain raw material, time-series discharge rate, etc. by inferring using a knowledge engineering method is proposed. However, there are problems that the criteria for selecting these actions and the criteria for determining the action amount are not specific, and the influence of the amount of residual iron in the reactor is not taken into consideration. Further, the control methods disclosed in "JP-A-62-270712" and "JP-A-2-182815" are intended for a bell-type blast furnace, and are not simply applicable to a bellless blast furnace. Absent.

[0009]

SUMMARY OF THE INVENTION The present invention has been made in view of such a situation, and the strength and transition tendency of the gas flow in the furnace of the blast furnace, charging waiting, reducing wind, charging distribution. Of the bellless blast furnace that enables automatic control by determining the action means and the action amount for optimizing the gas flow distribution by taking into consideration the action history of the system, the operating conditions such as the amount of remaining pig iron and the tapping situation. An object is to provide an object distribution control device.

[0010]

A charge distribution control device for a bellless blast furnace according to the present invention has a means for registering and correcting knowledge about blast furnace operation as a knowledge base, and a predetermined data from various sensors installed in the blast furnace. , The noise contained in the captured data, the noise-removed data based on the operating experience and the knowledge base obtained from the model experiments. Means for inferring the strength and transition tendency of the gas flow, and a means for synthesizing the result as the strength and transition tendency of the gas flow related to the central flow, peripheral flow, and local flow based on the information and knowledge base about charging and wind reduction. And a means for determining the action amount by applying the synthesis result to the TS action determination matrix, and the action amount for the distribution distribution of the charge action history and the blast pressure. Change, or taking into account the factors transient such as furnace residual iron content, and means for correcting anticipating future events such formulation changes, the action of the charge distribution after correction P
It is provided with a means for automatically controlling by transmitting to the LC, an action means for the corrected distribution of the charge, and a means for guiding the operator of the action amount.

[0011]

In the present invention, knowledge about the operation of the bellless blast furnace is registered and corrected as a knowledge base, and data from various sensors installed in the blast furnace is taken into the process computer at a predetermined cycle. Then, the noise included in the acquired data is removed, and the intensity of the gas flow and the transition tendency are inferred for each sensor based on the noise-removed data based on the operating experience and the knowledge base obtained from the model experiment. .. Based on the information and knowledge about charging, wind reduction, etc., the inference result is synthesized as the strength and transition tendency of the gas flow regarding the central flow, peripheral flow, and local flow, and the synthetic result is applied to the TS action decision matrix to take action. Determine the amount. Further, the action amount is corrected by considering transient factors such as changes in the charge distribution action history and blast pressure, the amount of residual iron in the furnace, and future events such as composition changes. Then, the action means and the action amount of the corrected charge distribution are transmitted to the PLC for automatic control. Further, the operator is instructed on the action means and the action amount of the corrected distribution of the charge.

[0012]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 is a conceptual diagram of a charge distribution control device for a bellless blast furnace according to an embodiment of the present invention. In the figure, reference numeral 10 is a blast furnace in which a fixed sonde (for measuring temperature and components) and a shaft thermometer are installed in the circumferential direction on the upper part of the furnace wall, and a horizontal sonde (radial gas temperature, component) is installed under it. There is. At the top of the furnace, a furnace sonde (radial gas temperature, composition), a furnace mouth TV (measured by the temperature distribution on the surface of the charge as a surface), a charge sonde (radial charge surface shape,
Various sensors such as coke and ore layer thickness distribution) and TS57
Is installed.

Reference numeral 20 is a process computer conventionally used for controlling the blast furnace. This computer 20
Is a means 21 for fetching data from various sensors installed in the blast furnace into the process computer at a predetermined cycle, a means 22 for removing noise included in the fetched data, a charging standby, a wind reduction 23, and a charging device 23. TS distribution history 2 of distribution
4. File means 26 for fetching and storing information such as composition change 25 at any time, means 27 for guiding an operator to an inference result and a process, means for transmitting the guidance result to the PLC 40 and automatically controlling the distribution of the charged materials. 28 and means 29 for transmitting data possessed by the process computer to the knowledge processing computer 30 and receiving the result of the knowledge processing are realized by the system program.

Reference numeral 30 denotes a knowledge processing computer, which registers and corrects knowledge about the operation of the bellless blast furnace as a knowledge base 31, and a central flow, a peripheral flow, based on the data received from the process computer 20 and the knowledge base 31. Means 32 for deducing the strength and transition tendency of the gas flow related to the local flow, and means 33 for synthesizing the result as the strength and the transition tendency of the gas flow based on the information on charging and wind reduction and the knowledge base, Determine the action method for the distribution of the charge based on the combined result and the operation status and operation policy at that time.
A means 34 for determining an action amount by applying it to the S action determination matrix, and taking this action amount into consideration of transient factors such as change of charge distribution action history and blast pressure, amount of residual iron in the furnace, and change of composition The system program realizes means 35 for preliminarily correcting future events and means 37 for receiving data necessary for inference from the process computer 20 and transmitting inference results to the process computer.

As described above, the apparatus is divided into the process computer 20 and the knowledge processing computer 30.
This is because there is a part to be processed by the conventional system technology and a part to be processed by the artificial intelligence application technology, and it is convenient for the system development to divide these parts, which is not essential to the present invention. Therefore, if one computer is logically divided and both means are realized, it can be realized by one computer.

Next, the operation will be described. (1) Pre-processing Various sensor data are taken in at a predetermined cycle by the fixed-cycle processing function of the process computer, stored in the file 211 and then noise included in the data is removed to obtain meaningful information as control information. Pre-processing is performed to extract. (1-1) Pre-processing method In the pre-processing, data processing is performed by exponential smoothing, linear regression, etc. in order to consider the type of sensor and the state of noise contained in the sensor data, and make the data effective for gas flow judgment. is doing. a. Exponential smoothing

[0017]

[Equation 1]

Sn: Value after exponential smoothing at time n
The unit of n and t is minute Sn-1: value after exponential smoothing at time n-1 Rn: value before exponential smoothing at time n t: determined for each sensor with time constant 1 ≦ t b. Primary regression

[0019]

[Equation 2]

Τ ≦ ti ≦ 0: the reference point is the inference execution time,
τ: time constant, n: number of valid data Xo: primary regression data And Sn or Xo is used to judge the strength of the gas flow or the tendency of transition. (2) Gas Flow Intensity Judgment The pre-processing result is sent to the knowledge computer 30, and the gas flow strength is judged based on the reference value which is learning-controlled for each sensor. Below is an example of how to determine the reference value and how to determine the strength of the gas flow. (2-1) How to determine the reference value The reference value is determined using the exponential smoothing method based on the daily average value,
We have made it possible to easily respond to changes over time in equipment and operations.

[0021]

[Equation 3]

The exponential smoothing constant α (0≤α≤1) is
The functions shown in FIG. 2 are expressed as functions such as the charging waiting time, the wind reduction time, and the number of TS actions, and the special operation factors are removed. α = α1 * α2 * α3 α1 = f (charge waiting time), α2 = f (wind reduction time) α3 = f (number of TS actions)

Here, the charging waiting time (the interval from charging to the next charging) is intended for the waiting time longer than the average charging waiting time,

[0024]

[Equation 4]

Charging waiting time = Σ (charging waiting time i-average charging waiting time) n: charging waiting time> number of chargings which was the average charging waiting time i: charging waiting time> average charging It is calculated as the i-th charging waiting time that has become the waiting time.

The wind reduction time (the time when the air flow rate is reduced from the target air flow rate) is empirically calculated by the following equation based on the time when the air flow is reduced and the air flow reduction amount.

[0027]

[Equation 5]

(2-2) Judgment of strength of gas flow Sensor information for measuring gas temperature and components in the radial direction such as horizontal sonde, furnace mouth sonde, and furnace TV can be used for judgment of central flow and peripheral flow. Also, a fixed sonde can be used to judge the surrounding flow. In addition, furnace TVs and fixed sondes can be used to determine local flow. FIG. 3 shows the relationship between gas flow intensity and gas temperature and components. Generally, when the gas flow is strong, the gas temperature is high and the gas utilization ratio (CO2 / CO) is high.
Will be lower.

(2-2-1) Determination of central flow and peripheral flow a. Horizontal probe (Fig. 4) The installation situation is shown in Fig. 4 (a). The horizontal sonde inserts the sonde into the interior of the furnace several times a day to measure the gas temperature and components in the furnace radial direction (gas flow rate will be added in the future). Generally, if the heat level in the furnace is high, the gas temperature is measured high, and conversely, if the heat level is low, the gas temperature is measured low, but the heat level has little influence on the gas temperature and the distribution of components. For this reason, it was decided to determine the gas flow by comparing the measured data with the patterns obtained from operational experience and the previously measured data. FIG. 4B is a comparative example of the measured data and the pattern obtained by the operation experience, and shows that the central flow is strong and the peripheral flow is weak. b. Furnace mouth sonde (Fig. 5) Installation status is shown in Fig. 5 (a), and measurement data is shown in Fig. 5 (b).
Shown in. The furnace mouth sonde is located east and west above the charging surface at the top of the furnace.
It is installed in the north-south direction and continuously measures gas temperature and gas components with multiple thermometers and analyzers. Here, in order to accurately determine the gas flow, the gas temperature in the peripheral part is higher than the central part by a certain value or more (component CO2 / C based on the operating experience).
When O is low, the lower (higher) sensor is judged to be abnormal, the data is removed, and then the average of north, south, east, and west is taken. And the gas temperature is compared with the furnace top gas temperature,
For gas components, the gas flow status is judged in the same way as the horizontal sonde. An example of processing relating to gas temperature is shown below.

FIG. 5 (c) shows the gas flow condition when the gas temperature intensity (X) is plotted on the horizontal axis. In this example, the central flow is strong and the peripheral flow is weak. Here, X = (Xi-t)-(Xib-Tb) Xi: average value of i furnace opening gas temperature, t: furnace top gas temperature Xib: reference value of furnace opening gas temperature, Tb: reference of furnace top gas temperature And the furnace mouth gas temperature is the average of north, south, east, and west. Since the furnace top gas temperature is measured at the place where the gas generated in the blast furnace gathers, it is more accurate than the value obtained by weighted averaging the furnace port gas temperature with the surface area of the furnace port.

C. Furnace TV (Fig. 6) The measured raw data is shown in Fig. 6 (a). Furnace TV continuously measures the surface temperature distribution of the charge as a thermal image at the top of the furnace. The charging surface temperature rises gradually after the charging is completed, and reaches the maximum before the next charging starts. Immediately after charging, the surface temperature of the charged material cannot be accurately captured due to dust generation. For this reason, data ((b) in FIG. 6) corresponding to the temperature measurement point of the furnace opening sonde is created based on the thermal image after 4 to 5 minutes after charging, and then the same method as the processing of the furnace opening sonde is performed. To determine the gas flow situation.

D. Fixed sonde temperature (Fig. 7) The installation status is shown in Fig. 7 (a), and the measured data is shown in Fig. 7 (b).
Shown in. A plurality of fixed sondes are installed circumferentially on the furnace wall above the shaft of the blast furnace (sometimes several steps further in the vertical direction) to measure the gas temperature and composition inside the charge.
Therefore, it can be used to judge the surrounding flow. Generally, when the sensor becomes defective or there is an adhered substance, the gas temperature and components become extremely low. Therefore, adjacent sensor data are compared with each other, and when the difference between the two is greater than or equal to a certain value, the lower sensor is determined to be abnormal, and the average value (Xt) of the remaining sensor data is calculated. Further, the peripheral flow intensity (X) is calculated based on the average value (Xt) and the reference value (Xo) to judge the gas flow state. X = Xt-Xo

E. Others Several shaft temperatures are installed in the furnace wall in the circumferential direction and in the vertical direction, and the temperature inside the furnace wall brick is measured, so it can be used to determine the surrounding flow in the same way as a fixed sonde. However, since the gas temperature is not directly measured, the accuracy of the gas flow information is lower than that of the fixed sonde. Moreover, the shape of the melting zone is sharp when the central flow (see FIG. 8).
(A)), the number of slits in the coke through which the reducing gas passes increases, the gas flow becomes stable, the ventilation resistance index and blast pressure are low, and heat loss and fluctuations in sensor data also decrease.
The gas utilization rate (CO2 / CO) also increases. On the contrary, in the peripheral flow, the shape of the melting zone becomes flat ((b) in FIG. 8), and the number of slits also decreases, so the gas flow becomes unstable,
The ventilation resistance index and blast pressure are high, heat loss and fluctuations in sensor data also increase, and the gas utilization rate (CO2 / CO) becomes low. Therefore, gas utilization rate, ventilation resistance index, blast pressure,
Regarding the heat loss, fluctuations in sensor data, etc., the gas flow status can be determined by comparing the current value with the reference value.

(2-2-2) Determination of local flow a. Furnace TV (Fig. 9) Furnace TV continuously measures the temperature distribution on the surface of the charge as a thermal image at the top of the furnace. FIG. 9A shows raw data measured by the furnace TV when the charging surface of the blast furnace is viewed from directly above. The charging surface temperature rises gradually after the charging is completed, and reaches the maximum before the next charging starts. In addition, the surface temperature of the charging material cannot be accurately captured due to dust generation immediately after charging. Therefore, based on the thermal image 4 to 5 minutes after charging, the TS is equally divided in the circumferential direction according to the number of positions at which TS can start to turn, and TS is calculated based on the weighted average value of the temperature of the peripheral portion. Data ((b) in FIG. 9) corresponding to the number of positions at which the turning can be started is created, and the gas flow in the circumferential direction is determined. For example, FIG. 9B shows that the gas flow on the north side is strong. Here, ΔXi = Xi−X i: the number of positions at which the TS can start to turn (i-th) Xi: the average value of the charging surface temperature corresponding to the i-th, X: the average value of the charging surface temperature, X is calculated as the average of Xi.

B. Fixed sonde temperature (Fig. 10) The installation status is shown in Fig. 10 (a), and the measured data is shown in Fig. 10 (b). A plurality of fixed sondes are installed in the furnace wall above the shaft of the blast furnace in the circumferential direction (sometimes several steps further in the vertical direction) to measure the gas temperature and composition inside the charge. For this reason, the measurement position and T
From the relationship with the swirl startable position of S, if the data is converted into data corresponding to the swirl startable position of TS by a linear regression equation or the like, it can be used for determining the gas flow corresponding to the swirl startable position of TS. For example, FIG. 10B shows that the gas flow on the north side is strong. Here, ΔXi = Xi−X Xi: average value of i-th fixed sonde temperature X: average value of fixed sonde temperature (X = ΣXi), and X is calculated as the average of Xi. It should be noted that the fixed sonde can also analyze the gas component, and if this value is used, it can be used to determine the local flow in the same manner as the temperature data.

C. Others Several shaft temperatures are installed in the circumferential direction of the furnace wall and in the vertical direction, and the temperature inside the brick of the furnace wall is continuously measured. Therefore, it can be used to determine local flow in the same way as the fixed sonde temperature. However, since the gas temperature is not measured directly, the accuracy of the information is lower than that of the fixed sonde.

(2-3) Judgment of transition tendency (FIG. 11) (2-3-1) Judgment of transition tendency of central flow and peripheral flow The transition tendency of the gas flow is the sensor information used for the determination of the gas flow intensity. The time series transition of can be used as it is. For example, in this apparatus, it is determined that the central flow is in the transition tendency when the information shown in FIG. 11A has an upward tendency and the information shown in FIG. 11B has a downward tendency. Further, when the information shown in (c) of FIG. 11 has a rising tendency and when the information shown in (d) of FIG. 11 has a falling tendency, it is determined that there is a tendency of transition of the peripheral flow.

(2-3-2) Judgment of Transition Trend of Local Flow (FIG. 12) For the transition tendency of gas flow, the time-series transition of sensor information used for determination of gas flow intensity can be used as it is. For example, when the temperature at a specific point tends to increase due to the surface temperature of the charging material or the temperature of the fixed sonde measured by the furnace TV, it indicates that the local flow is growing. FIG. 12 shows an example of determining the tendency of the gas flow transition depending on the fixed sonde temperature. From the figure, it can be seen that the gas flow is growing on the north side.

(3) Synthesis of intensity and transition tendency of gas flow (3-1) Synthesis of intensity and transition tendency of central flow and peripheral flow Sensor data are sensor installation status, operation status (charging,
It greatly changes due to wind reduction. In addition, there are some things that show almost the same tendency such as the temperature of the furnace port sonde and TV, and there are differences in accuracy, so it is necessary to systematically consider these factors when making the final judgment of the gas flow situation. There is. Here, a device with high accuracy is set as follows.

(3-1-1) Synthesis of Sensor Information Measured at Multiple Points in Radial Direction Sensor information measured at multiple points in the radial direction such as a horizontal sonde, furnace port sonde, furnace port TV is at the center (or furnace). The accuracy of the sensor information is improved by not only judging the gas flow only by the sensor on the wall) but also by synthesizing it considering the measurement position. For example, the central flow and the peripheral flow are calculated by the following equation.

[0041]

[Equation 6]

For example, when i = 5, a1 = 0.7, a2 =
0.3, a3 = a4 = a5 = 0.0, b1 = b2 = b3
= 0.0, b4 = 0.3, b5 = 0.7, the intensity and transition tendency of the gas flow are synthesized.

(3-1-2) Synthesis of Strength and Transition Trend of Central Flow and Peripheral Flow The intensity and transition tendency of the central flow and peripheral flow are separately synthesized. Table 2 shows the sensor data used for synthesis.

[0044]

[Table 2]

In Table 2, the larger the O mark (smaller Q), the stronger the strength and the tendency to change. The following is an example of central flow intensity synthesis.

[0046]

[Equation 7]

Here, ai is the degree of contribution of each sensor, and fi is the degree of certainty in consideration of charging, wind reduction, and the like. Figure 2 here
It is determined as the product of (a) and (b). n is the number of O marks,
m is the number of sensors. The strength of the peripheral flow, the central flow, and the trend of the peripheral flow are determined in the same way.

(3-2) Synthesis of Local Flow Intensity and Transition Trend Table 3 shows sensors used for local flow synthesis.

[0049]

[Table 3]

The sensor data largely changes depending on the installation condition and the operation condition (charge waiting, wind reduction, etc.). Also, furnace TV and fixed sonde temperature show almost the same tendency, but there is a difference in measurement accuracy. Therefore, when making a final decision on the gas flow, it is necessary to systematize these factors properly. Here, a device with high accuracy is set as follows.

(3-2-1) Synthesizing Method For the local flow, first, the sensor data is linearly regressed as shown in FIG. 13 to be converted into the data corresponding to the position where the TS can start to turn, and then is synthesized by the following equation.

[0052]

[Equation 8]

Here, aj is determined as the product of FIGS. 2 (a) and 2 (b).

(4) Standardization of Synthesis Result In this apparatus, since the control is performed as close as possible to the operating experience of the operator, the synthesis value in the item (3-1) is standardized to a level of 1 to 5. did. An example of standardization is shown in FIG. This equipment has a judgment reference value k based on the operation experience.
1, k2, k3, and k4 are decided, and the judgment is made in five stages from 1 to 5. Numerical values in FIG. 14A indicate the following states. 1: Very weak, 2: Weak, 3: Good, 4: Strong, 5: Very strong In addition, it is judged by expressing it with a function as shown in FIG. It is obvious that a finer judgment can be made if this is done, but a judgment method close to that of the operator is adopted here.

(5) Determination of charge distribution action means (5-1) Radial direction distribution action means As a method of controlling the charge distribution in the radial direction to control the central flow and the peripheral flow, TS swirl Angle pattern change, SL position change, ore base change, fine grain raw material usage change, time series discharge rate change, etc., but TS turning angle pattern change is common, and this method It is adopted. (5-2) Circumferential radial distribution action means As a method of controlling the local distribution by controlling the distribution of the charged material in the radial direction, the blowing condition of fuel and air in the lower part of the furnace is changed for each tuyere. Although a method of changing the tapping port for performing the tapping work may be considered, a method of changing the turning start position of the TS is generally used, and this apparatus adopts this method.

(6) Determination of charge distribution action amount (6-1) TS action pattern change (6-1-1) Central flow / peripheral flow action (a) Inference of TS pattern change amount FIG. An inference example of the TS pattern change amount will be shown. The TS pattern change amount is inferred using a strength judgment matrix and an inference tendency judgment matrix devised based on operational experience.
For example, when the central flow intensity is +2 and the peripheral flow intensity is +3, the intensity of the gas flow is w1 from the intensity determination matrix. In addition, the transition tendency of the gas flow when the transition tendency of the central flow is +2 and the transition tendency of the peripheral flow is +4
It becomes 1. If this result is applied to the TS action decision matrix, it becomes +2. This means that only +2 TS patterns Nos oriented to the central flow are selected from the current TS pattern. In this case as well, the result determined by the function shown in FIG.
It is obvious that finer control can be performed by determining the change amount of o. In this device, the result obtained by the model experiment on the distribution of the charged material is registered as the TS pattern No. from the peripheral flow toward the central flow. (FIG. 17).

(B) TS Action Amount Diagnosis When the TS action number is changed, the gas flow in that portion gradually changes as the charge drops. Then, it is usually about 12 before the influence of the change of the TS pattern No is spread.
It takes time. For this reason, it is necessary to add the operation history of the TS in order to determine the gas flow corresponding to the position of the TS in the actual operation. In addition, during tapping work, the air flow is reduced for several hours, so that the blowing pressure and other factors change temporarily and the gas flow is disturbed. It is also necessary to eliminate the factors associated with these transient factors. In this device, these elements are added as follows.

A. Operation History of TS FIG. 18 shows a correction example of the TS action in consideration of the operation history of the TS. The horizontal axis represents time and the vertical axis represents the change amount of the TS pattern NO. For example, in the item (6-1-1) (a), the instruction of +2 as the TS pattern change amount continues for 10 hours (see FIG. 18).
(A)), if the TS pattern No is changed by +2 at time 0 ((c) in FIG. 18), the effect gradually appears in the gas flow as the charge drops (in FIG. 18). (B)). Considering this point in actual operation, TS pattern N
Assuming a time (about 6 hours later) when the effect of changing o by +2 appears for only +1, the TS pattern No.
Change only 1. It should be noted that here too, if the change amount of the TS pattern No. can be made ambiguous, the control can be performed a little more finely, but in order to approach the operation of the operator, this device was used. This concept is the same for the action means described in (6-2) to (6-5).

B. Temporary factors such as blast pressure Since the wind is blown for several minutes during tapping work, the blast pressure and other factors change temporarily. Therefore, the actual action is taken only when the instruction to change the TS pattern No. continues twice or more in the same direction to eliminate the transient factor associated with the wind reduction. When the amount of residual iron is large, the gas flow is disturbed. Therefore, the residual pig iron amount is represented by a membership function as shown in FIG. 19, and the action amount is multiplied by the value to correct. This concept is the same for the action means described in (6-2) to (6-5).

C. Elements that cannot be judged only by the gas flow, such as composition changes, FIG. 20 (a) shows an example of preemption of elements that disturb the gas flow, such as composition changes. The horizontal axis represents time, and the vertical axis represents the change amount of the TS pattern NO. For example, if the proportion of yard sinter having a slightly smaller grain size is used instead of the direct sinter, the central flow becomes gradually weaker. Therefore, in this equipment, the TS pattern NO change amount (Y) is calculated based on the increase amount (X) of the usage ratio of the yard sinter.
From several hours before the time when the yard sinter is actually used until the sinter melts into hot metal (6-1-
1) (b) b. With respect to the value determined in the item (1), Y is selected as the pattern NO of the central flow direction. Here too, if the action amount is corrected by expressing it with a membership function as shown in FIG. 20B, finer control can be performed. The idea of anticipating future events such as composition changes (6-2)
The same applies to the action means described in (6-5).

D. Implementation of action (6-1-1) (b) The result of item c is the display device (CRT)
When the control mode is automatic, the signal is sent to the TS control device (PLC) to automatically control the stroke of the TS to control the distribution of the load in the radial direction. Connected. Further, in the manual mode, the operator changes the stroke setting of the TS control device by looking at the display, which is connected to the radial distribution control of the charged material. This concept is the same for the action means described in (6-2) to (6-5).

(6-1-2) Local flow action (a) Inference of TS pattern change amount The TS pattern change amount is determined by using the TS action decision matrix (FIG. 16) determined based on operational experience and model experiments. Reason. For example, if the strength of the gas flow at a point corresponding to a certain TS is +2 and the strength of the transition tendency is also +2, the value of the TS action determination matrix is +.
It becomes 2. This means that only +2 TS patterns Nos oriented to the central flow are selected from the current TS pattern. Here too, if the result determined by the function shown in FIG. 14B is rounded to determine the change amount of the TS pattern No, more detailed control can be performed. In this device, the results obtained by the model experiment regarding the distribution of the charged material are registered as the TS pattern from the peripheral flow toward the central flow, as in the case of the action of the central flow / peripheral flow. (FIG. 17).

(B) TS Action Amount Diagnosis When the TS pattern No is changed, the gas flow in that portion gradually changes as the charge drops. Then, it usually takes about 12 hours until the influence of the change of the TS pattern No is spread. Therefore, it is necessary to consider the operation history of the TS in order to determine the gas flow corresponding to the position of the TS in the actual operation. Further, since the wind is reduced for several hours during tapping work, the blowing pressure and the like temporarily change, and the gas flow is disturbed. In this device, the elements associated with these transient factors are removed in exactly the same way as during the action of the central and peripheral flows.

(7) Operation record FIG. 21 shows the transition of the operation index after the control by this apparatus is started. It can be seen that the realization of the control by this device has made the gas flow distribution in the radial direction and the circumferential direction appropriate, and the effect on the operation side is gradually expanded.

[0065]

INDUSTRIAL APPLICABILITY As described above, according to the present invention, the charge distribution control in the radial direction and the circumferential direction, the central flow / peripheral flow and the local flow are advanced for the purpose of standardization and transmission of operation technology and automation of operation. It is a systemization of various operational knowledge, and has the following effects. (1) High-level standardization and transmission of operation technology (2) Reduction of operator workload, automation of operation (3) Optimization of gas flow judgment by advanced processing of sensor information (high accuracy) (4) Real-time monitoring and control Realization of (5) (as a result of (1) to (4) above) Realization of control narrower than the conventional operator control (6) (as a result of (1) to (4) above) Operation effect shown in FIG. Confirmation of

[Brief description of drawings]

FIG. 1 is a conceptual diagram of a charge distribution control device for a bellless blast furnace according to an embodiment of the present invention.

FIG. 2 is a diagram showing a decision function of an exponential smoothing constant,
(A) is waiting time for loading, (b) is wind reduction time, (c) is TS
The number of actions.

FIG. 3 is a diagram showing an example of determination of gas flow intensity.

FIG. 4 is a diagram showing an installation example and a data example of a sensor of a horizontal probe used for determination of central flow / peripheral flow.

FIG. 5 is a diagram showing an installation example, a data example, and a processing data example of a sensor of a furnace port sonde used for determination of a central flow and a peripheral flow.

FIG. 6 is a diagram showing an example of raw data and an example of processed data of a furnace mouth TV used for determination of central flow / peripheral flow.

FIG. 7 is a diagram showing an installation example and measurement data example of a fixed sonde used for determination of central flow / peripheral flow.

FIG. 8 is a diagram showing an example of gas flow determination based on other information used for determination of central flow / peripheral flow.

FIG. 9 is a diagram showing an example of data of a furnace port television used for determining a local flow.

FIG. 10 is a diagram showing an installation example and data example of a fixed sonde used for local flow determination.

FIG. 11 is a diagram showing a sensor used for determining a transition tendency of a gas flow and a determination example.

FIG. 12 is a diagram showing a transition tendency of a local flow.

FIG. 13 is a diagram showing an example of temporary regression of fixed sonde temperature data.

FIG. 14 is a diagram showing an example of standardization of a synthesis result.

FIG. 15 is a diagram showing an example of TS action inference in the radial direction.

FIG. 16 is a diagram showing a TS action determination matrix in the circumferential direction.

FIG. 17 is a diagram showing a TS pattern NO registration status.

FIG. 18 is a diagram showing a correction example in which an operation history of TS is added.

FIG. 19 is a diagram illustrating an example of a correction function for the amount of residual pig iron.

FIG. 20 is a diagram showing a preemption example of a future event such as a combination change.

FIG. 21 is a diagram showing an operation result.

FIG. 22 is a diagram showing the distribution control of the charging material and the state inside the furnace.

FIG. 23 is a diagram showing the installation status of a furnace top bunker, a flow control gate, and a TS.

Front Page Continuation (72) Inventor Atsushi Takekoshi 1-2-2 Marunouchi, Chiyoda-ku, Tokyo Nihon Kokan Co., Ltd. (72) Inventor Masaaki Sakurai 1-2-1 Marunouchi, Chiyoda-ku, Tokyo Nihonkansen Stock Ltd. In-house (72) Inventor Shinichi Matsubara 1-2-1, Marunouchi, Chiyoda-ku, Tokyo Nihon Steel Tube Co., Ltd.

Claims (3)

[Claims] 1. A means for registering / correcting knowledge about operation of a bellless blast furnace as a knowledge base, a means for fetching data from various sensors installed in the blast furnace into a process computer at a predetermined cycle, and included in the fetched data. The noise removal data and the noise removal data based on operating experience and knowledge base obtained from model experiments are inferred as intensity and transition tendency of the gas flow for the central flow, peripheral flow, and local flow for each sensor. Means, means for synthesizing the result as intensity and transition tendency of the gas flow based on information about charging and wind reduction, and knowledge base on gas flow, and swirling chute (hereinafter referred to as TS) action Means for determining an action amount by applying it to a decision matrix, the action amount being programmable controller (hereinafter referred to as PLC). (1) to automatically control the distribution of the charged material, which is controlled by the bellless blast furnace. 2. The blast furnace charge distribution action history, changes in blast pressure, transient factors such as the amount of residual iron in the furnace, and future events such as composition changes are corrected in advance to correct the action amount. The charging distribution control device for a bellless blast furnace according to claim 1, further comprising: 3. The charge distribution control device for a bellless blast furnace according to claim 2, further comprising means for guiding an operator of an action amount of the charge distribution.