KR100478090B1 - Apparatus for controlling amount of coal in coking chamber of coke oven - Google Patents

Abstract

The present invention relates to an apparatus for controlling the amount of coal in a COKE OVEN carbonization chamber. In particular, the collected coal briquettes previously set in a coke oven facility for producing coke, which is used as a reducing agent and a heat source in a blast furnace during a steelmaking process, The amount of coal charged in the carbonization chamber is controlled by determining the optimum amount of coal corresponding to the target charging level of the carbonization chamber where charging is performed by using the data of coal) quantity, charging coal moisture and the loading coal level. The present invention relates to a coal charge control device of a coke oven carbonization chamber for improving stability and productivity of coke.

The present invention detects the carbonization chamber number, the moisture of the coal, the charging level and the amount of charge to calculate the multiple regression constants for each carbonization chamber and to charge through the multiple regression analysis using the calculated multiple regression analysis constant for each carbonization chamber. The present invention relates to a charging amount control device that calculates the amount of charged coal (coal) of the carbonization chamber to be charged next in consideration of the target charging level of the carbonization chamber and the charging level at that time.

Description

Coal Oven Coal Charge Control System of Coke Oven Carbonization Chamber {APPARATUS FOR CONTROLLING AMOUNT OF COAL IN COKING CHAMBER OF COKE OVEN}

The present invention relates to an apparatus for controlling the amount of coal in a coke oven carbonization chamber, and more specifically, the amount of charged coal collected in a coke oven (OVEN) facility for manufacturing coke (COKE), which is used as a reducing agent and a heat source in a furnace of a steelmaking process. The present invention relates to an apparatus for controlling the amount of coal charged in a carbonization chamber by determining an optimal amount of coal corresponding to a target charging level of a carbonization chamber in which charging is made by using data of a charge coal moisture and a charge coal level.

In general, the coke plant is a plant that produces and supplies powdered coke and crushed coke, which are needed as a heat-reducing agent in the production of pig iron in blast furnaces. It consists of a plant and a chemical conversion system for treating coke oven gas. Among these plants, the coal charged in the coke oven plant is pyrolyzed by heat transfer from the heating wall to produce coke. The coke mobile device is a facility directly responsible for the production of coke and performs the operation by four mobile devices of an extruder, a charging car, a guide car and a fire truck under an operator's monitoring operation.

The overall configuration of a typical coke plant is shown in FIGS. 1 is a front view of a typical coke oven installation and a mobile device, FIG. 2 is a side view of FIG. 1, and FIG. 3 is a configuration diagram of a general coke oven. As shown in FIGS. 1 to 3, a coke oven 11 includes a main body and mobile devices moving around the coke oven 11. The mobile device receives coal from the coal storage plant 12 receiving coal, which is a raw material for charging the coke oven 11, and receives coal from the coal storage plant 12, and moves the upper side of the coke oven 11 from side to side in the carbonization chamber. A charging vehicle 13 for charging coal into the unit, an extruder 14 for reciprocating the front surface of the coke oven 11 and extruding the coke by advancing an extruder wrap (RAM) into an oven facility when the drying of coal is completed. A guide car 15 which reciprocates the rear of the oven and serves as a passage for sending the red coke extruded by the extruder to the fire truck, and receives a red coke extruded by the extruder and moves to a fire extinguishing tower to extinguish the red coke. (16). The coke oven can be broadly divided into a carbonization chamber 21 that charges coal to produce coke and a combustion chamber 20 that supplies heat required for carbonizing the coal, as shown in FIG. 3. One oven is constructed. In the upper part of the carbonization chamber, there is a charging inlet 22 which is an inlet for charging coal, and the gas generated in the carbonization chamber 21 is discharged through the rising pipe 23.

In the conventional coke manufacturing operation, as shown in FIGS. 1 to 3, when coal is charged into each carbonization chamber by the charging vehicle 13 moving from the top of the coke oven, the drying process of about 16-18 hours is performed according to the operation rate. When complete, extrusion is performed. This extrusion operation is carried out by the extruder 14 moving the front of the oven to advance the RAM into the carbonization chamber and to push dry coke to the guide car (15; GUIDE CAR) on the opposite side to receive the fire truck 16 The operation is performed in a circulating manner in which coal is charged again into the carbonization chamber 21 where the extrusion operation is completed.

Charging of the coal is carried out by a charging vehicle 13 traveling through the upper part of the oven 11, wherein the charging vehicle is carbonized from the coal storage 12 located in the middle of the oven 11 and then carbonized. It moves to the chamber 21 and charges a certain amount through the four charging holes 22 in the upper part of the carbonization chamber.

In charging operations, the carbonization chamber level (LEVEL) is a factor involved in reducing calories and improving coke productivity. However, a large amount of gas is generated from the coal during the drying process, it is difficult to escape through the riser (23). Therefore, it is important to maintain an appropriate level of charged coal because a certain space for the gas to be released should be secured.

 However, conventionally, since the amount of coal charged is determined by measuring the weight of the charged coal, the level of the charged coal charged in the carbonization chamber 21 is not known, and even if the same amount of coal is charged, the specifications of each carbonized chamber and Since the level difference is also large due to the moisture of the charged coal, the amount of charge is determined depending on the driver's experience, which causes a decrease in productivity at the time of underloading and adversely affects the coke property at the time of overloading.

The present invention establishes a system for controlling the charging level when charging the coal into the coke oven to solve the above problems, and measure the target charging level of each carbonization chamber by using the charging level, the loading amount and the charging coal moisture data. Therefore, the object of the present invention is to minimize the operator's intervention and improve the stability and productivity of the coke oven by devising an apparatus and a method for calculating a corresponding charge amount.

In order to achieve the above object, the present invention, in the coal charging amount control apparatus of the coke oven carbonization chamber of the iron-making process to produce the coke through the pyrolysis operation after charging the coal into the carbonization chamber,

Moisture detection means for detecting the moisture of the charged coal,

A charging level detecting means for detecting a charging level at a charging hole for the coal charged into the carbonization chamber;

A charge amount detecting means for detecting a charge amount of coal charged in the carbonization chamber,

A data storage means for receiving the detected moisture of the coal, the charging level of the charging port and the charging amount and storing it as data for each carbonization chamber,

Calculation means for calculating a multiple regression analysis constant applied to each carbonization chamber through the multiple regression analysis using the stored data;

Multiple regression analysis constant storage means for storing the multiple regression analysis constants applied to the respective carbonization chamber,

A charging amount calculating means for calculating the loading amount of each carbonization chamber charged next time using the stored multiple regression analysis constants, the target charging level of the charging hole, and the loading carbon content, and

It characterized in that it is provided with a charge amount adjustment means for adjusting the charge amount to be charged according to the calculated charge amount.

The present invention detects the moisture of the charged charcoal charged in each carbonization chamber, the charging level at the charging inlet, the charged amount of the charged carbonization chamber, and stores the data in each carbonization chamber and stores the data for each carbonization chamber, and then corresponds to each carbonization chamber using multiple regression analysis The multiple regression constant is calculated and stored. And a control device for calculating the amount of charged coal to be charged in each carbonization chamber through multiple regression analysis using the stored constant and the target charging level of the carbonization chamber to be operated next time and the water value of the charged coal to be charged next time.

Hereinafter, the present invention will be described in more detail with reference to the drawings.

Fig. 5 is a block diagram showing the configuration of a control device for the amount of charged carbon charged into a carbonization chamber according to the present invention. As shown in FIG. 5, the present invention provides a charging charcoal moisture detecting means 51 for detecting moisture in a charging coal to be charged into a carbonization chamber, and a charging level detecting means 52 for detecting a charging level at a carbonization chamber charging port during charging. ), A charge amount detecting means 53 for detecting the charge amount in the carbonization chamber, a carbon number detection means 54 for detecting the number of the carbonization chamber to be charged, and the detected detection value for a predetermined period of time to collect Data storage means (55) for storing and storing the data, arithmetic means (56) for calculating a constant corresponding to each carbonization chamber through a multiple regression analysis using the data, and the calculated multiple regression constants By using the multiple regression analysis constant storage means 57 for storing and the constant corresponding to each of the stored carbonization chambers, considering the target charging level signal S1 and the signal S2 of the charged carbon water to be charged, To calculate the amount of charge to be charged Charged tanryang provided with a computing means 58, and, the calculated charged coking chambers adjustment means 59 to control such that charging for the tanryang to.

Actions and effects on the device will be described below.

As shown in Fig. 5, the charged carbon moisture detecting means 51 detects the moisture of the charged coal (coal) to be charged into the carbonization chamber. The charged carbon moisture detection unit 51 is installed in the lower part of the coal storage tank 12, which is a place for temporarily storing the coal to be charged in the carbonization chamber as shown in Figure 1 and the moisture of the coal when the charging car mining coal It is a device for detecting. The charging car loaded with coal moves the upper part of the carbonization chamber to the left and right and charges the coal into the charging hole 22. The charging holes 23 generally have four entrances, and each charging hole 22 has charging level detecting means 52 for detecting the level (height) of the charged coal. When charging proceeds to the charging port 22, the charging amount detecting means 53 detects the charging amount in the carbonization chamber.

Each time the charging is repeated, the charging amount, the moisture, and the charging level for each carbonization chamber are detected and stored in the data storage means 55 together with the carbonization chamber number detecting unit 54. This is to store a plurality of data by the data corresponding to each carbonization chamber in each time the water of the charging coal, the charging level of the carbonization chamber, the charging amount. That is, the data storing means 55 stores the data of the number of charged carbons, the charging level, and the number of charged carbons in each carbonization chamber number in the order of detection. When the N + 1th data is detected, the data is first detected and stored. Discard the process of storing the N + 1 th data.

In the multiple regression analysis constant calculating means 56, the stored data is used to calculate the constant of the multiple regression analysis corresponding to each carbonization chamber. The multiple regression constants applied to each carbonization chamber are calculated using the average of multiple data stored repeatedly each time. The calculating means 56 periodically performs a multiple regression analysis to calculate a constant. The constant (a, b, c) is calculated by substituting the basic formula of the multiple regression analysis using the plurality of data.

[Equation 1]

T = a + b TM + c L

here,

a, b, c: multiple regression constant,

T: charged carbon (ton),

TM: charged coal moisture (%),

L is the charging level (mm).

Using the formula 1, the multiple regression constants a, b, and c are calculated for each carbonization chamber.

When the least square method of calculating the constant value of the multiple regression analysis is applied (process abbreviation), the constants a, b, and c may be expressed as in Equation 2 below.

[Formula 2]

here, , , Is,

remind , , Denotes an average value of a plurality of charged carbohydrate values detected by the charged carbon water detecting unit 51 for any one carbonization chamber, an average value of a plurality of charge level values detected by the charge level detecting means 52, and a charge amount detection. It is an average of a plurality of charge amount detection values detected by the means 53.

Thereafter, the multiple regression analysis constant storage means 57 stores the calculated multiple regression constant for each carbonization chamber. This stores the multiple regression analysis constants for each carbonization chamber corresponding to the corresponding carbonization chamber number.

When the charging signal S1 is generated, the carbonization chamber to be loaded next is determined, and the charging amount calculating means 58 calculates the amount of the charging coal to be charged in each carbonization chamber. The calculation for the charged coal is to calculate the amount of charged coal by using the multiple regression analysis of the formula (1). At this time, the charging amount calculation means 58 is calculated by substituting the multiple regression analysis constant for each carbonization chamber stored in the multiple regression analysis constant storage means 57 into Equation 1. Further, the target charging level value coming from the target charging level signal S2 of the carbonization chamber and the charging carbon moisture value from the signal S3 of the charged carbon water to be charged are inputted into Equation 1 to be charged into the corresponding carbonization chamber. Calculate the amount of ammunition.

That is, in Formula 1 (T = a + b TM + c L), the constants a, b, and c corresponding to each carbonization chamber are substituted, and TM is substituted with the moisture of the charging coal to be charged in the corresponding carbonization chamber to be charged. Further, in L, the target charge level of the corresponding carbonization chamber to be charged in the future is calculated to calculate the amount of charge T to be charged in the corresponding carbonization chamber. The calculated charging amount T is a value considering the charging moisture to be charged, and is a charging amount corresponding to a charging level target value of each carbonization chamber.

For example, the calculation of the charge amount T (i) for the i th carbonization chamber to be charged in the future includes the multiple regression constants a (i) and b (i of the i th carbonization chamber stored in the multiple regression constant storage means 57. ), c (i), the target charging level value L (S2) of the charged coal to be charged into the i-th carbonization chamber to be worked on, and the moisture detection value TM (S3) of the i-th carbonization chamber to be operated, Calculated by assignment. Therefore, the calculation of the charged amount of carbon T (i) for the i-th carbonization chamber may be represented by Equation 3 below.

[Equation 3]

T (i) = a (i) + b (i) TM + c (i) L

here,

T (i): Charged amount of the i-th carbonization chamber to be charged (ton),

a (i), b (i), c (i): the multiple regression analysis constants of the i-th carbonized chamber,

TM: Moisture (%) of the coal to be charged in the future,

L: The target charging level (mm) to be charged in the future.

Since the constants a, b, and c are stored for each carbonization chamber, when the number of the carbonization chamber to be operated is input, the constants a, b, and c are applied to the corresponding carbonization chamber.

As described above, the charging amount calculating means 59 receives the signals of the target charging level S and the charging carbon water S2, and adjusts them in the charging amount adjusting means 59 so as to be charged according to the charging amount calculated by the multiple regression analysis. . The charged amount of carbon adjusted by the charging amount amount adjusting means 59 is charged with respect to the number of carbonization chambers to be charged.

6 is a flow chart showing the control flow of the carbonization chamber coal loading control apparatus according to the present invention.

The number of each carbonization chamber which performs charging operation in the production of coke by charging coal into the carbonization chamber of the coke oven facility, the water of the charging coal (coal) charged in each carbonization chamber, the charging in each carbonization chamber entrance The level and the amount of charge in each carbonization chamber are detected (S601). In the step (S601) it is detected as described above during each operation in each carbonization chamber, each time the moisture, charging level and the charge amount corresponding to each carbonization chamber is detected. In step S602, the value detected as described above is converted into data and stored (for example, in a database). In step S602, the data deletes the first existing data and stores the newly detected value. That is, when N data are stored, when the N + 1th data is detected, the existing data stored first is deleted and N data is stored again. Subsequently, in step S603, multiple regression constants a, b, and c are calculated through multiple regression analysis by applying the data for each carbonization chamber stored in step S602. The multiple regression analysis uses the basic formula (T = a + b TM + c L) of Equation 1 described above. Multiple regression constants a, b, and c in step S603 are calculated for each carbonization chamber, respectively. In step S604, the multiple regression constants a, b, and c calculated in step S603 are stored. The storage is also stored for each carbonization chamber.

At this time, when a charging signal for instructing the next charging operation is generated (S605), a carbonization chamber number for executing the next charging operation is determined (S606). When the number of carbonization chambers to be charged is determined as described above, the amount of charged carbon to be charged into the corresponding carbonization chamber is calculated through multiple regression analysis using the multiple regression analysis constant applied to the corresponding carbonization chamber stored in the operation S604 in step S607. do. Calculation of the amount of charged coal in the step S607 is calculated in consideration of the target charging level of the carbonization chamber and the moisture of the charged coal.

The driver mode state is checked (S608), and in the auto mode, charging is performed at the charging amount calculated in the step S607 (S609). If not, the charging is performed at the charging amount set by the driver. (S610).

Hereinafter, the application example of the charge quantity calculation by the control apparatus of this invention is demonstrated.

One of the carbonization chambers selected from the various carbonization chambers of the coke oven was calculated by applying the above multiple regression analysis equations from the charged coal amount, the charged coal moisture, and the charge level data.

[Equation 4]

T = -57.3 + 2.26 TM + 0.0141 L

Where T is the amount of charged coal to be charged, TM is the moisture of the charged coal to be charged, and L is the target charge level of the carbonization chamber to be charged.

In addition, if the charged car is 8.0% and the target charge level is 4400mm, when the coal mining operation is carried out in the coal storage tank, the charged carbon of the next carbonization chamber is calculated as 22.8 tons.

As in the application example, when the charging signal is generated, the charging amount of the corresponding carbonization chamber according to the work schedule may be calculated by applying the target charging level and the moisture data of the charging coal.

Therefore, the carbonization chamber coal charge control device of the present invention is the amount of charged coal, charged coal water, charged coal level collected in the coke oven (OVEN) equipment for producing coke (COKE) that is used as a reducing agent and a heat source in the blast furnace during the steelmaking process. By using the data to accurately determine the optimal amount of charcoal that corresponds to the target charging level of the carbonization chamber where charging is carried out, it is possible to improve the efficient operation of the carbonization chamber, improve the stability of the coke oven and the productivity of the coke, and reduce operator intervention. Discomfort on the image can be minimized.

1 is a front view of a typical coke oven equipment and a mobile device.

Figure 2 is a side view of a typical coke oven equipment and mobile equipment.

3 is a configuration diagram of a general coke oven equipment.

4 is a configuration diagram of a carbonization chamber in a coke oven installation.

5 is a block diagram showing the configuration of a control device for the amount of charged carbon charged in a carbonization chamber according to the present invention.

6 is a flowchart showing the flow of coal charge control according to the present invention.

   Explanation of symbols on the main parts of the drawings

11: COKE OVEN 12: COAL BIN

13: charging car 14: extruder

15: GUIDE CAR 16: fire truck

20: combustion chamber 21: carbonization chamber

22: charging hole 23: the riser

51: moisture detection means 52: charging level detection unit

53: charge amount detection unit 54: carbonization chamber position detection unit

Claims (4)

In the coal charging amount control device of the coke oven carbonization chamber of the steelmaking process to produce the coke through the pyrolysis operation after charging the coal into the carbonization chamber, Water detection means for detecting water in the coal; Charging level detecting means for detecting a charging level at a charging inlet for the coal charged into the carbonization chamber; A charge amount detecting means for detecting a charge amount of coal charged into the carbonization chamber; Data storage means for receiving the detected moisture of the coal, the charging level of the charging port and the charging amount and storing the detected coal-specific data; Calculating means for calculating a multiple regression analysis constant applied to each carbonization chamber through the multiple regression analysis using the stored data; Multiple regression analysis constant storage means for storing the multiple regression analysis constants applied to the respective carbonization chambers; A charging amount calculation means for calculating the loading amount of each carbonization chamber charged next time using the stored multiple regression analysis constants, the target charging level of the charging hole, and the loading carbon content; And Charge amount control means for adjusting the charge amount to be charged according to the calculated charge amount Coal charging amount control device of the coke oven carbonization chamber, characterized in that provided with The method of claim 1, The calculating means calculates the multiple regression constant corresponding to each carbonization chamber through a multiple regression analysis using an average value of charged carbon moisture, an amount of charge, and a charging level of each carbonization chamber collected repeatedly for a certain period of time. Coal charge control device of coke oven carbonization chamber The method of claim 1, The charging carbon amount calculating means is a coal charging amount control device for the coke oven carbonization chamber, characterized in that for calculating the loading carbon corresponding to the target charging level of the corresponding carbonization chamber in the coal charging process of the next carbonization chamber using multiple regression analysis. The method according to any one of claims 1 to 3, The multiple regression analysis using the following equation (1), T = a + b TM + c L .......... (1) here, Wherein a, b, c is a multiple regression analysis constant corresponding to each carbonization chamber, T is the charge amount, TM is charged coal moisture, L is the charge level control apparatus of the coke oven carbonization chamber, characterized in that the charge level