JP3085325B2 - Clinker cooler control device and control method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and a method for controlling a clinker cooler in a cement manufacturing apparatus, and more particularly to a method and apparatus for controlling a clinker cooler in which a pressure in an air chamber defined and arranged below a clinker cooler grate for cooling air is controlled. The present invention relates to a clinker cooler control device and method for controlling a great operating speed so as to reach a target value.

[0002]

2. Description of the Related Art A cement production process is roughly divided into a raw material system in which limestone, clay, iron oxide, silica sand, etc., which are raw materials, are mixed and crushed at a fixed ratio and particle size, and a calcination of the raw materials at a high temperature and immediately thereafter. It consists of a sintering system that forms a clinker by quenching with cooling air, and a finishing system that crushes the clinker to produce a final product, cement. Of these, the firing system significantly affects the quality of the product and consumes a large amount of energy. Therefore, from the viewpoint of energy saving, it is very important to appropriately control the temperature of each part of the firing system. I have.

[0003] This firing process will be described below with reference to FIG. The raw material prepared in the raw material system is first supplied to the preheater tower 2, where it is preheated. Then, in a rotary kiln, a so-called rotary kiln 1, burners 6
Is heated in an atmosphere of about 1450 ° C. and fired in a semi-molten state. The product fired in the rotary kiln 1 is called a clinker. This clinker is rapidly cooled by a cooling device, so-called clinker cooler 3, disposed downstream of the rotary kiln 1 and supplied to a finishing system. The clinker cooler 3 includes a series of moving grids (hereinafter referred to as “great”) 5 which can reciprocate back and forth at predetermined intervals (right and left in FIG. 12), and an air chamber 4 partitioned and installed below the great 5. And a cooling air supply device 7 such as a blower. The clinker supplied to the clinker cooler 3 is supplied by the cooling air supply device 7 while being sequentially moved toward the outlet (to the right in FIG. 12) on the great 5 by the operation of the great 5, and the great It is cooled while directly exchanging heat with the cooling air blown out from the gap. For example, the rotary kiln 1
The clinker fired in the inside is discharged to the clinker cooler 3 at about 1350 ° C., quenched to about 750 ° C. in the first stage, which is the closest to the rotary kiln 1, and finally cooled to about 150 ° C. And is discharged from the clinker cooler 3 and transferred to a finishing system.

[0004] On the other hand, a portion of the air which has become high temperature due to heat exchange with the clinker in the clinker cooler 3 is recovered by the firing system, and the rest is exhausted to the outside air. That is, the air that has exchanged heat in the vicinity of the rotary kiln 1 in the clinker cooler 3 passes through the heat recovery path 8 because of its high temperature, and enters the rotary kiln 1 as secondary air for combustion of the rotary kiln 1. Alternatively, the cooling air that has been recovered in the preheater tower 2 through the heat recovery path 9 as residual heat air of the raw material and that has exchanged heat in the vicinity of the outlet is removed by the dust collector 10 and exhausted. Therefore, from the viewpoint of energy saving, it is necessary to control the temperature of the cooling air collected in the rotary kiln 1 and the preheater tower 2 to be as high as possible. In order to directly affect the combustion state and temperature distribution in the rotary kiln 1, the secondary air must be controlled not only at a high temperature but also as constant as possible.

The various quantities of the cooling air, such as the temperature and flow rate, vary depending on changes in the clinker layer thickness, clinker particle size, clinker temperature and the like on the great 5, and largely depend on the change in the clinker layer thickness. It is known. The clinker layer thickness is determined by the amount of clinker discharged from the rotary kiln 1 and the driving speed of the grate in the clinker cooler 3. It is difficult to measure the clinker layer thickness directly during the operation of the process. However, as the clinker layer thickness increases, the pressure in the air chamber 4 disposed below the great 5 increases. It is known that there is. Therefore, a method of controlling the clinker layer thickness on the great 5 by controlling the operating speed of the great 5 so that the pressure in the air chamber 4 below the great is constant at a predetermined target value is adopted. I have. Further, clinker, in the first stage on the Great is cooled to 750 ° C before and after 1350 ° C, for cooling is greatest in this case discharged from the rotary kiln 1 as described above in the clinker cooler 3, It is particularly important to control the operating speed of the first-stage great. On the other hand, the amount of clinker discharged from the rotary kiln 1
When the driving power increases, the emission decreases, and when the driving power decreases, the emission increases. Therefore, in order to keep the thickness of the clinker layer on the grate constant, it is necessary to control the first-stage grate operation speed by predicting the amount of intake clinker discharged using the rotary kiln drive power as a control input.

Conventionally, cascade control and model control have been performed. In the cascade control, a control target is treated as one output for one input.
In order to maintain the pressure in the air chamber below the first-stage great at a predetermined target value, when there is a deviation from this target value,
This is a control method for operating the first-stage great operation speed. The control method is relatively easy to design and adjust the control system,
Although it is applied in various fields, the stability of the control system is low with respect to process state changes because one input is treated as one output, and the cement manufacturing process, especially the system is complex, and many control variables Not suitable for interconnected firing systems. On the other hand, model control has a high control system stability because the control target is treated as multiple outputs for multiple inputs.
It is difficult to design an ideal system with an optimal response, that is, a model system, it takes time to adjust the gain, and the process dynamics change due to aging of the plant and changes in raw materials. It has the disadvantage of being weak.

[0007]

SUMMARY OF THE INVENTION In view of the above problems, an object of the present invention is to provide a high stability with respect to a change in process state and to be able to cope with a change in dynamic characteristics. It is an object of the present invention to provide a clinker cooler control method and a control device that facilitate gain adjustment.

[0008]

SUMMARY OF THE INVENTION In order to achieve the above-mentioned object, according to the present invention, a plurality of reciprocatingly movable clinker receiving grate (moving grid) are provided in a plurality of stages, and a plurality of grates are provided under the plurality of stages. In a clinker cooler control device for a cement manufacturing apparatus having a plurality of air chambers correspondingly partitioned on a side, a kiln drive power detection unit for detecting a drive power of a rotary kiln; Operating speed detecting means for detecting the operating speed of the first stage located closest to the first stage, and detecting the pressure (first chamber pressure) of the air chamber below the first stage in the air chamber. First chamber pressure detecting means for performing the operation, a kiln driving power change amount calculating means for calculating a temporal change amount of the kiln driving power detected by the kiln driving power detecting means, and the first chamber pressure calculating means; First chamber pressure change amount calculating means for calculating a temporal change amount of the first chamber pressure detected by the force detecting means; and a first chamber pressure detected by the first chamber pressure detecting means and a predetermined target A first chamber pressure deviation calculating means for calculating a difference from the value, and a great operating speed for determining whether or not the great operating speed detected by the great operating speed detecting means is within a predetermined speed range. Determining means for determining a change in kiln drive power, a first chamber pressure change, and a first chamber pressure change, when the great operation speed determination means determines that the great operation speed is within a predetermined range.
Great operating speed determining means for calculating a control amount of the operating speed of the Great so that the first chamber pressure becomes a predetermined target value by fuzzy inference based on the chamber pressure deviation, and the Great operating speed determining means And a great control means for controlling the operating speed of the great based on the control command.

According to the second aspect of the present invention, the reciprocatingly movable clinker receiving grate (moving grid) provided in a plurality of stages and the lower part of the plurality of stages of the grate are divided correspondingly. A method for controlling a clinker cooler of a cement manufacturing apparatus having a plurality of air chambers, the method comprising: a driving power of a rotary kiln; an operating speed of a first stage grate of the clinker cooler disposed closest to an outlet end of the rotary kiln; The pressure of the air chamber below the first stage (first chamber pressure)
And a calculation for obtaining a temporal change amount of the detected kiln driving power and a calculation for obtaining a difference between the detected temporal change amount of the first chamber pressure and a predetermined target pressure value. Executing, and determining whether the detected great operation speed is within a predetermined speed range set in advance, and determining whether the great operation speed is within a predetermined speed range. When it is determined that the operating speed of the great is within the predetermined range, the temporal change amount of the calculated kiln drive power, the temporal change amount of the first chamber pressure, and the temporal change amount of the first chamber pressure are determined. By fuzzy inference based on the deviation amount from the target pressure value, the control amount of the operating speed of the great is calculated and determined so that the first chamber pressure becomes the predetermined target value, and the determined operating speed of the great operating speed is determined. Control command And Zui, method of controlling a clinker cooler which is characterized by controlling the operating speed of the Great is provided.

[0010]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS First, a basic configuration of a clinker cooler control device according to the present invention will be described with reference to FIG. The kiln drive power detecting means 101 detects the kiln drive power NP of the rotary kiln at regular intervals, for example, every minute, and the kiln drive power change amount calculating means 104 calculates the past and present values of the detected drive power NP. , The amount of change in the kiln driving power DNP is calculated. As described above, a plurality of air chambers for cooling air are arranged below the great. The clinker cooler control device according to the present invention includes the first chamber pressure detecting means 103 in an air chamber (hereinafter, referred to as a first chamber) disposed below the first stage of the plurality of air chambers. The first chamber pressure P is detected by the first chamber pressure detecting means 103. Next, the first chamber pressure change amount calculating means 105 calculates the first chamber pressure change amount DP from the difference between the detected past value and the present value of the pressure. The first chamber pressure deviation DDP is obtained from the difference between the current value of the detected pressure P and a predetermined target value PSET.
Is calculated. Similarly, the operating speed CG of the first-stage great is detected by the great operating speed detecting means 102. Next, the great operation speed determining means 107 determines whether or not the CG is within a range between a predetermined upper limit CGU and a lower limit CGL. Next, based on the judgment result of the great operation speed judging means 107, the control method selecting means 108 performs control by fuzzy inference or artificial intelligence (AI).
Control or not is selected. That is, when the first-stage great operating speed CG is within a predetermined range, the great operating speed determining means 110 is selected by the control method selecting means 108, and the kiln driving power change amount DNP, the first chamber pressure change The control amount DC of the operating speed of the first stage great based on fuzzy inference from the values of the amount DP and the first chamber pressure deviation DDP
G is calculated, and if the great operation speed CG is out of the predetermined range, the control method selection means 108 causes the great operation speed determination means 109 to output the first chamber pressure change amount DP and the first chamber pressure deviation DDP. The control amount DCG of the operating speed of the first-stage great based on the AI control is calculated from the respective values of. Based on the control amount DCG determined in this way, a suitable drive power is supplied from the great operation speed control device 111 to the great drive means 112 such as a motor.

The hardware configuration of the clinker cooler control device according to the present invention will be described with reference to FIG. In FIG. 2, a rotary kiln 21 is rotatably rotated about a rotation axis inclined at a predetermined angle with respect to a horizontal plane, and has both ends held at a lower outlet side, and is rotationally driven by a driving device 22 such as a motor. The driving power of the rotary kiln 21 is based on the weight of raw materials and clinker in the rotary kiln 21,
Kiln drive power detecting means 23 provided in a switchboard or the like for supplying power to the motor 22 although varying with the number of revolutions
Is detected by Clinker cooler 2 as in the prior art
4, a plurality of greats are arranged, and are driven back and forth (left and right in FIG. 2) by a driving means 26 such as a motor. Rotary kiln 2 among the plurality of greats
The operating speed of the first stage grate 25 disposed near 1 is detected as the rotation speed of the motor 26 by a detecting means 27 such as a rotary encoder provided in a motor 26 for driving the first stage grate 25. . On the lower side of the clinker cooler 24, a plurality of air chambers for cooling air are arranged. The first stage great 25
, The air pressure (static pressure) in the first chamber 28 is detected by the first chamber pressure detecting means 29. The control device 210 includes an input interface 202, an output interface 203, a CPU
204, a memory 205 and the like. Each of the detection means 23, 27, and 29 is connected to the input interface 212, and the kiln drive power NP, the great operation speed CG, and the first chamber pressure P are read into the control device 210. Great operation speed control means 211 is connected to the output interface 203, and the number of revolutions of the motor 26 as the great drive means is controlled in accordance with the calculation result of the control device 210.

FIGS. 3, 4, and 5 show flowcharts of a great operation speed control routine stored in the memory 205 and executed by the CPU 204. Step 3
01, first, a filter coefficient W (i) used for leveling data read in a data reading step described later, and PSE which is a target value of the first chamber pressure.
T, criterion DDPSET1 for determining first chamber pressure deviation DDP,
The initial value of DDPSET2 is set, and i = 0, j
= 0. Here, the filter coefficient W is a value appropriately determined so as to satisfy [Equation 1]. Further, i and j are parameters representing time, and in this embodiment, as an example, i = 1 to 15 and j = 1 to 6 will be described.

(Equation 1) In step 302, 1 is added to i. In step 303, the first chamber pressure P (i) is read via the input interface 202. In step 304, i is determined. If i is not 15 (No in step 304), the flow returns before step 302 to sequentially read the first chamber pressure P (i) until i = 15. When i = 15 (Yes in Step 304), Step 305
Resets i to 0 and adds 1 to j. The first chamber pressure P (i) read in step 303 is leveled using an equation represented by [Equation 2], and the first chamber average pressure P (i) is obtained.
Calculate RS (j).

(Equation 2) In step 307, the kiln driving power NP (j)
The great operation speed CG (j) is read. Step 3
In step 08, j is determined. If j is not equal to 6 (NO in step 308), the process returns to step 302 and the above steps are repeated until j = 6.

When j = 6 (Yes in step 308)
In step 401, the first chamber pressure change amount is calculated by the following equation using PRS (6) as the current value of the first chamber pressure and PRS (5) as the past value, and DP = PRS (6) -PRS (5) ) First chamber pressure PRS (6) and first chamber pressure target value PSET
From the following equation, the first chamber pressure deviation DDP is calculated by the following equation, and DDP = PRS (6) -PSET NP (6) is the current value of the kiln driving power, and NP (5) is the past value, and the kiln power change amount DNP is calculated by the following equation. Is calculated. DNP = NP (5) -NP (6) Each of the above-described routines using i and j as parameters is determined so that an appropriate control cycle can be obtained according to the dynamic characteristics of the plant. For example, when a routine using i as a parameter is executed every four seconds, a routine using j as a parameter is executed every minute. PRS (j), NP (j): j = 1 to 4 not used here can be used for other purposes, for example, process monitoring. Conversely, if there is no such request, it is needless to say that these data need not be read. Further, in this embodiment, these data are stored in steps 402 to 40.
In step 4, old data is sequentially replaced with new data by setting i as a parameter (this parameter i is irrelevant to the parameter i used in the routine of steps 302 to 304 described above), and five data are always held. I have. That is, when i = i + 1 is executed in step 402, i = 1 in step 305 because i = 0, and then in step 403, PR
S (5) = PRS (6), NP (5) = NP (6), and the above steps are repeated until i = 5 in step 404. When i = 5 (Y in step 404)
(In the case of es) In step 405, i = 0 is reset to j = 5. The reason for setting j = 5 will be described later.

In the firing process, a so-called coating in which a clinker in a semi-molten state adheres to the inner wall surface of the rotary kiln 21 often occurs. When this coating occurs, the state of the process greatly changes from a steady state, such as a decrease in the amount of clinker generated as compared with the supply amount of the raw material, or when the coating falls, the clinker having a large particle diameter rapidly increases. . In such a case, it is known that the operating speed of the Great greatly deviates from the normal operating speed, and that the control by the expert's experience and the can is more effective than by the normal control method. In this case, control by so-called artificial intelligence (hereinafter, referred to as AI), which reflects the experience and can of a skilled person in automatic control, is required. In such a case, it is empirically known that the great operation speed is out of the range of the normal operation speed. Therefore, in the present invention, it is determined in step 406 whether or not the current value CG (6) of the great operation speed is within a predetermined range, and when the current value CG (6) is equal to or higher than a predetermined upper limit CGU or lower than a predetermined lower limit CGL, or as described later. When the flag to perform is not Fc = 0 (No in step 406)
Determines the abnormal state and controls the great operation speed by the AI control method in step 407. Step 40
In step 8, CG (6) is determined again, and if it is within a predetermined range (Yes in step 408), the flag Fc is set to 0 in step 410, and if it is outside the range (No in step 408). Step 40 if
At 9, the flag Fc is set to 1. This flag Fc
When determining whether the vehicle is in a normal state or an abnormal state in step 406, not only the current value of the great operation speed but also the previous great operation speed is taken into account, and the process is stably controlled. It is intended to be.

At step 406, the present value CG (6) of the great operation speed is within a predetermined range, and the flag Fc =
When it is 0, that is, when the current value and the previous value of the great are within a predetermined range (No in step 406)
In step 501 (see FIG. 5), it is determined whether or not the first chamber pressure deviation DDP is within a predetermined first range. When the absolute value of the first chamber pressure deviation DDP is smaller than the predetermined first pressure DDPSET1, that is, when the deviation of the first chamber pressure from the predetermined target value is small (step 50).
In the case of “1” and “Yes”), the feedback is performed before the step 302 at the same great operation speed without changing the great operation speed (see FIG. 3). When the first chamber pressure deviation DDP is outside the predetermined first range in step 501, that is, when the first chamber pressure deviates from the predetermined target value to the extent that the great operation speed needs to be changed (step 501). And N
In the case of o), it is further determined in step 502 whether the first chamber pressure deviation DDP is within a predetermined second range.
In step 502, when the absolute value of the first chamber pressure deviation DDP is equal to or lower than the second predetermined pressure DDPSET2, that is, it is necessary to change the great operation speed, but the first chamber pressure deviates so much from the predetermined target value. If it is determined that there is no (Yes in step 502),
In step 503, the great operation speed is controlled by fuzzy inference using control rules 1, 2, and 3, which will be described later, and feedback is performed before step 302 (see FIG. 3). On the other hand, the absolute value of the first chamber pressure deviation DDP is equal to the DDPS.
When it is larger than ET2, that is, when the first chamber pressure deviation is outside the predetermined second range (No in Step 503), the great operation speed is controlled by fuzzy inference using the control rule 2 in Step 504. Then, the process returns before step 302 (see FIG. 3). Step 3
Since j = 5 in step 405 in the second and subsequent routines after returning before step 02, step 3
The judgment of 08 is always Yes. That is, PRS, N
Reading of each data of P and CG is executed only once.

Next, fuzzy inference and its control rules will be described with reference to FIGS. First, the first chamber pressure change amount DP will be considered as an example (see FIG. 6).
When the first chamber pressure change amount DP increases to the minus side, it indicates that the clinker layer thickness on the great decreases with time, and when it increases to the plus side, the great clinker layer thickness increases with time. Is qualitatively known from experience. Therefore, when the DP is very large on the minus side, the great operation speed CG may be greatly increased, and when the DP is very large on the plus side, the great operation speed CG may be greatly reduced.
However, it is unclear how much the great operation speed CG should be increased or decreased quantitatively. So D
A membership function is used to quantitatively express to some extent that P is large on the minus side or large on the plus side.

FIG. 6 shows an example of a membership function given to the first chamber pressure change amount DP. The horizontal axis represents DP.
The vertical axis represents the membership value (0 to 1). The numbers 1 to 7 shown in FIG. 6 are called fuzzy labels and have the following meanings. 1 ... the first chamber pressure change amount DP is extremely large on the minus side 2 ... the first chamber pressure change amount DP is medium on the minus side 3 ... The first chamber pressure change amount DP is a little large on the minus side 4 ... The first chamber pressure change amount DP is almost non-existent. 5 ... The first chamber pressure change amount DP is slightly large on the plus side. 6 ... The first chamber pressure change amount DP is moderately large on the plus side. 7 ... The first chamber pressure change amount. DP is very large on the plus side For example, DP = −30 mmAq is perceived as being moderately large in the first chamber pressure change amount on the minus side, and corresponds to that the great operation speed CG should be lowered to the middle. However, DP = 15 mmAq is perceived as a sensation that the first chamber pressure change amount DP is slightly large on the plus side, and corresponds to the fact that the great operation speed CG needs to be slightly increased. When the value of DP deviates slightly from -30 mmAq,
The membership value decreases from 1, which means that the degree to which the first chamber pressure change amount DP is moderately large on the minus side is less sensed.

FIG. 7 shows an example of a membership function of the first chamber pressure deviation DDP. For example, DDP = -40 mm.
Aq indicates that the ratio that the first chamber pressure deviation DDP is perceived as being moderately large on the negative side is 1. FIG. 8 shows an example of a membership function of the kiln drive power change amount DNP. For example, DNP = −
When the power is 36 kW, the ratio that the kiln driving power change amount DNP is perceived as being moderately large on the minus side is one. FIG. 9 shows a membership function of the great operation speed with respect to the control amount DCG. For example, setting DCG = ─1.0 spm (stroke per minute) can be perceived sensuously when it is slowed down to the negative side in the middle.

As shown in FIG. 10, when the first chamber pressure change amount DP straddles two membership functions, for example, when DP = −20 mmAq, the first chamber pressure change amount DP Is about 0.3 when the first chamber pressure change amount DP is slightly large on the minus side, and the ratio that the sensory sense is about 0.7 when the first chamber pressure change amount DP is slightly large on the minus side. It is shown that. These are projected onto a membership function for determining a great operation speed control amount, a control region (shaded region in FIG. 12) is determined, and an optimum control amount is obtained from this control region. At this time, the optimal control amount is obtained as the center of gravity DCG of the control region determined as is well known in fuzzy control theory. There are various methods for obtaining the center of gravity, and for example, the center of gravity is obtained by the following equation. DCG = ∫xF (x) dx / ∫F (x) dx where F (x) is a function representing the outline of the hatched area. The control rule based on fuzzy inference is a rule representing the correspondence between the input data and the output data described above.
Is the first chamber pressure change amount DP and the great speed control amount DCG
The control rule 2 is a rule of the first chamber pressure deviation DDP and the control amount DCG of the great speed, and the control rule 3 is a kiln power deviation DDP and the control amount DC of the great speed.
This is the rule of G.

Next, referring to FIG.
Will be described with reference to control rules 1, 2, and 3. First chamber pressure change amount DP and first chamber pressure deviation DD calculated in steps 402, 403, and 404
P, the degree of change in kiln drive power DNP is evaluated by the respective membership functions (FIG. 10A,
(See (b) and (c)), this evaluation is projected on the membership function of the great operation speed change amount DCG, and the change area of the DCG is determined for each evaluation. Next, the respective control areas are superimposed (a hatched area in FIG. 11D), and an optimum control amount is obtained therefrom as a center of gravity of the hatched area.

In step 504, the fuzzy control is similarly performed using only the control rule 2. Here, when it is determined in step 502 that the first chamber pressure deviation is out of the second predetermined range, that is, it is determined that the first chamber pressure is not abnormal but largely deviates from the target value. The control rules 1 and 3 are not used when the first chamber pressure change amount DP
Rather than controlling while predicting the process state in consideration of the change amount DNP of the kiln driving power, the value of the first chamber pressure is made closer to the target value based only on the current value and the target value of the first chamber pressure. This is because the highest priority is appropriate.

[0022]

The control by the fuzzy inference essentially controls a wide range of non-linearity variables, so that good control can be performed on a change in a process state or a change in a dynamic characteristic of a plant. is there. In addition, the frequency of gain adjustment may be reduced in designing the control system. By applying the control by the fuzzy inference having such characteristics to the control device and the control method of the clinker cooler, the clinker cooler can be stably controlled, and the temperature of the secondary air rises as compared with the related art, and the clinker cooler increases. It became possible to lower the clinker temperature at the outlet. As an example, the following table shows a comparison between the control result according to the present invention and the control result according to the conventional technique (cascade control). Cascade control Fuzzy control First chamber pressure mmAq 704.5 710.8 First stage operating speed spm 21.1 19.2 Secondary air temperature ゜ C 874.3 910.5 Clinker temperature at clinker cooler outlet 出口 C 166. 5 137.5 Kiln drive power kW 827.1 780.0 Burning temperature ゜ C 1448.4 1477.2 Kiln capacity ton / hr 318.8 319.4 As understood from the above table, fuzzy control was adopted. In the clinker cooler control method and device according to the present invention,
Under almost the same operating conditions as in the prior art, the temperature of the secondary air rises by 36.2 ° C., the temperature of the clinker decreases by 29 ° C. at the exit of the clinker cooler, and the clinker cooler has a good heat exchange. Is cooled. In particular, the fact that the secondary air is rising can be evaluated as greatly contributing to energy saving of the cement production plant.

[Brief description of the drawings]

FIG. 1 is a block diagram of a clinker cooler control device according to the present invention.

FIG. 2 is a hardware configuration diagram of a clinker cooler control device according to the present invention.

FIG. 3 is a clinker cooler control flowchart according to the present invention.

FIG. 4 is a clinker cooler control flowchart according to the present invention.

FIG. 5 is a clinker cooler control flowchart according to the present invention.

FIG. 6 is a diagram showing a membership function.

FIG. 7 is a diagram showing a membership function.

FIG. 8 is a diagram showing a membership function.

FIG. 9 is a diagram showing a membership function.

FIG. 10 is a function diagram showing a procedure for determining a control amount of a first-stage great operation speed by fuzzy inference.

FIG. 11 is a function diagram illustrating a procedure for determining a control amount of a first-stage great operation speed by fuzzy inference.

FIG. 12 is a schematic view of a firing system in a cement manufacturing apparatus.

[Explanation of symbols]

 101: Kiln driving power detecting means 102: Great operating speed detecting means 103: First chamber pressure detecting means 104: Kiln driving power change calculating means 105: First chamber pressure changing calculating means 106: First chamber pressure deviation calculating means 107: Great operating speed determining means 110: Great operating speed determining means 111: Great operating speed controlling means

Claims (2)

(57) [Claims] 1. A reciprocating clinker receiving grate (moving grid) provided in a plurality of stages and a plurality of air chambers respectively defined below the plurality of stages of the grate. A clinker cooler control device for a cement manufacturing apparatus, comprising: a kiln driving power detection means (101) for detecting a driving power of a rotary kiln; and an operating speed of a first stage grate located closest to the kiln among the grates. Operating speed detecting means (102) for detecting the pressure, and first chamber pressure detecting means (the first chamber pressure) for detecting the pressure (first chamber pressure) of the air chamber below the first stage of the air chamber. 103); a kiln driving power change amount calculating means (104) for calculating a temporal change amount of the kiln driving power detected by the kiln driving power detecting means (101); A first chamber pressure change amount calculating means (105) for calculating a temporal change amount of the first chamber pressure detected by the force detecting means (103); and a first chamber pressure detecting means (103) detecting the first chamber pressure change amount. A first chamber pressure deviation calculating means (106) for calculating a difference between the first chamber pressure and a predetermined target value, and a great operating speed detected by the great operating speed detecting means (102) is a predetermined speed. A great operation speed judging means (107) for judging whether or not the operating speed is within the range; and a case where the great operating speed judging means (107) judges that the operating speed of the great is within a predetermined range. Based on the calculated change amount of the kiln driving power, the change amount of the first chamber pressure, and the first chamber pressure deviation, a fuzzy inference is used to determine the operating speed of the great so that the first chamber pressure becomes a predetermined target value. Calculate control amount Operating speed determining means (110) for controlling the operating speed of the great based on a control command from the operating speed determining means (110). Clinker cooler control device. 2. A reciprocatingly movable clinker receiving grate (moving grid) provided in a plurality of stages, and a plurality of air chambers respectively defined below the plurality of stages of the grate. The method for controlling a clinker cooler of a cement manufacturing apparatus, comprising: a driving power of a rotary kiln; an operation speed of a first stage grate of the clinker cooler disposed closest to an outlet end of the rotary kiln; Each of the air chamber pressures (first chamber pressure) is detected, an arithmetic operation for obtaining the detected temporal change amount of the kiln driving power is executed, and the detected temporal change amount of the first chamber pressure and a predetermined amount are determined. Performing a calculation for obtaining a difference from a target pressure value; determining whether the detected great operation speed is within a predetermined speed range set in advance; When it is determined in the determining step whether or not the speed is within the speed range, the operating speed of the great is within the predetermined range, the temporal change amount of the calculated kiln drive power and the first chamber The control amount of the operating speed of the great is controlled by fuzzy inference based on the temporal change amount of the pressure and the deviation amount of the first chamber pressure from the target pressure value so that the first chamber pressure becomes the predetermined target value. A clinker cooler control method, comprising: calculating, determining, and controlling a great operation speed based on the determined great operation speed control command.