CN114115144B - Automatic coal withdrawal control method and system for cement kiln decomposing furnace under RDF (RDF) condition - Google Patents
Automatic coal withdrawal control method and system for cement kiln decomposing furnace under RDF (RDF) condition Download PDFInfo
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- 239000003245 coal Substances 0.000 title claims abstract description 229
- 239000004568 cement Substances 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 230000006870 function Effects 0.000 claims abstract description 16
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 9
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 9
- 238000011217 control strategy Methods 0.000 claims abstract description 7
- 230000002194 synthesizing effect Effects 0.000 claims abstract description 7
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 40
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 40
- 239000011159 matrix material Substances 0.000 claims description 19
- 239000013598 vector Substances 0.000 claims description 16
- 230000009467 reduction Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 4
- 230000009466 transformation Effects 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 239000007789 gas Substances 0.000 description 33
- 238000004519 manufacturing process Methods 0.000 description 8
- 238000002485 combustion reaction Methods 0.000 description 7
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 6
- 229910052760 oxygen Inorganic materials 0.000 description 6
- 239000001301 oxygen Substances 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000011282 treatment Methods 0.000 description 4
- 239000000843 powder Substances 0.000 description 3
- 239000002817 coal dust Substances 0.000 description 2
- 238000000354 decomposition reaction Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 206010021143 Hypoxia Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000007791 liquid phase Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000009022 nonlinear effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
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- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses an automatic coal withdrawal control method for a cement kiln decomposing furnace under the RDF condition, which comprises the following steps: s1, constructing a three-dimensional fuzzy control system; s2, establishing a plurality of variable membership function models, dividing the value fields of the variables into a plurality of grades respectively, and describing the grades respectively by using corresponding domain fuzzy languages to obtain an assignment table; s3, establishing a first-level fuzzy inference rule and a second-level fuzzy control rule to obtain two fuzzy relation matrixes; s4, synthesizing the two-stage rules according to the fuzzy control synthesis rule to obtain a fuzzy calculation expression of the automatic coal withdrawal size of the tail coal, wherein the tail coal is excessively fed; s5, inputting the analog quantity acquired in real time into a three-dimensional fuzzy control system, carrying out fuzzy domain conversion, outputting a control strategy, and completing automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
Description
Technical Field
The invention relates to the field of cement kiln decomposing furnace control, in particular to an automatic coal withdrawal control method and system for a cement kiln decomposing furnace under the RDF condition.
Background
The tail temperature control of the decomposing furnace is a difficulty in the control of the cement production process for a long time, under a new situation, the decomposing furnace also bears social environment-friendly work such as garbage/sludge incineration, and the garbage is cooperatively treated, so that the stability of a temperature control system in the decomposing furnace is greatly impacted, wherein the most main negative influence is that a large amount of oxygen is required to be consumed in the garbage incineration process, so that the oxygen content in the decomposing furnace is insufficient, coal dust cannot be fully combusted, CO in the decomposing furnace is rapidly increased, and the tail temperature is continuously reduced; when the oxygen content in the decomposing furnace is improved once, CO in the decomposing furnace detonates instantaneously, the tail temperature rises sharply, and the large fluctuation of the tail temperature of the decomposing furnace greatly damages the thermodynamic equilibrium of the cement clinker production process.
In the cement clinker production process, the decomposing furnace production process is a process of decomposing raw materials, the feeding quantity of coal powder (namely tail coal) in the decomposing furnace is regulated to reach the temperature in the stable decomposing furnace, the feeding quantity of coal powder is too large, the decomposing furnace burns incompletely, coal powder enters a 5-stage cylinder (C5) of the preheater to form local high temperature, so that a blanking pipe is skinned and blocked, in addition, the decomposing furnace temperature is too high, the decomposing rate is too high, the liquid phase is advanced, clinker is over-sintered, and sticky bulk materials are generated; the coal feeding amount is too small, the decomposition heat is insufficient, the decomposition rate is low, the kiln heat load is increased, and the raw materials are produced. Since the decomposing furnace outlet temperature control system is affected by many variables, the process variables have instantaneous and nonlinear properties, and thus decomposing furnace outlet temperature control has long been a difficulty in cement production process control.
The RDF cement producing process includes the steps of conveying garbage to high temperature cement kiln decomposing furnace, high temperature treatment, and eliminating the energy of the burning process of organic matter to reach the aim of reducing energy and raising efficiency. However, under the RDF condition, the tail temperature control of the decomposing furnace is influenced by a plurality of uncertain factors from garbage, and the most outstanding negative influence is that a large amount of oxygen is consumed in the garbage combustion process, so that oxygen supply in the decomposing furnace is insufficient, coal dust cannot be fully combusted, the temperature in the decomposing furnace is reduced, if the tail temperature is increased by increasing the tail coal supply amount, the combustion environment is further deteriorated, and the vicious circle of continuous reduction of the tail temperature is caused, and at the moment, the coal is required to be timely removed, and the combustion environment in the decomposing furnace is adjusted so as to be restored to the normal oxygen-enriched combustion environment. Whether a decomposing furnace adopts a coal removing means or not adopts a single method according to the content of carbon monoxide in tail gas, so that a good control effect is difficult to achieve, at present, the method is carried out completely by subjective prediction and experience of operators, a scientific adjusting means is lacked, and the traditional tail temperature control mode can not meet the requirements of the cement production process under a new form.
Disclosure of Invention
The invention mainly aims to provide an automatic coal withdrawal control method and system for a cement kiln decomposing furnace under RDF conditions, which can restore the combustion environment in the decomposing furnace and further restore the normal tail temperature control process of the decomposing furnace.
The technical scheme adopted by the invention is as follows:
the automatic coal withdrawal control method for the cement kiln decomposing furnace under the RDF condition comprises the following steps:
s1, constructing a three-dimensional fuzzy control system, wherein the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy;
s2, building a plurality of variable membership function models, wherein the plurality of variables comprise tail coal feed, tail gas carbon monoxide and tail temperature of the decomposing furnace, respectively dividing the value ranges of the variables into a plurality of grades, respectively describing the grades by using corresponding discourse fuzzy languages to obtain a plurality of fuzzy variable assignment tables, and the plurality of fuzzy variables comprise tail coal feed amountCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
S3, establishing a first-stage fuzzy inference rule according to the excessive coal feeding of the tail coal to obtain a fuzzy relation matrix of the excessive coal feeding of the tail coal, the coal feeding amount of the tail coal and the carbon monoxide of the tail gas; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->Establishing a second-stage fuzzy control rule to obtain the automatic coal-withdrawal size of the tail coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
s4, synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
s5, the analog quantity acquired in real time comprises the tail coal feeding quantity and carbon monoxide in the tail gasThe content and tail temperature reduction degree value are input into a three-dimensional fuzzy control system to perform fuzzy domain transformation, and the excessive coal feeding of tail coal with fuzzy control quantity is obtained through calculation according to a fuzzy calculation expressionAnd the size of the tail coal is +.>And outputting to complete the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
In step S2, the value ranges of the variables are classified into a plurality of classes, and are described in corresponding discourse fuzzy languages respectively specifically as follows:
corresponding to tail coal feeding, dividing the tail coal feeding into 3 grades according to a coal feeding average value a-1.4a per hour, and describing the tail coal feeding by using a domain fuzzy language;
for the content of carbon monoxide and CO in the tail gas, dividing 3 grades according to 0-9000ppm, and describing by using a domain fuzzy language;
for the tail temperature decrease trend, 3 grades are marked according to-1.5-0, and description is carried out by using a domain fuzzy language.
The first-stage fuzzy inference rule is specifically as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Zhengdao (great size)；
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small.
The second-stage fuzzy control rule is specifically as follows:
1) If it isJust big and +.>Small negative, then->Negative middle;
2) If it isJust big and +.>In the negative, then->The negative is large;
3) If it isJust big and +.>Big negative, then->The negative is large;
4) If it isThe middle energizer and->Small negative, then->The negative is small;
5) If it isThe middle energizer and->In the negative, then->The negative is small;
6) If it isThe middle energizer and->Big negative, then->Negative middle;
7) If it isJust small and +.>Big negative, then->The negative is small.
By adopting the technical scheme, the tail coal with fuzzy vector is excessively large in coal feedingAnd tail temperature decrease trend->The values of (2) follow the following principle:
a membership degree maximum principle;
and when the membership value is the maximum value, the grade value with the minimum absolute value of the preferred grade is selected.
The invention also provides an automatic coal withdrawal control system of the cement kiln decomposing furnace under the RDF condition, which comprises the following components:
the system construction module is used for constructing a three-dimensional fuzzy control system, the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy;
the membership function model building module is used for building a plurality of variable membership function models, wherein the variables comprise tail coal feeding, tail gas carbon monoxide and tail temperature of the decomposing furnace, the value ranges of the variables are respectively divided into a plurality of grades, and are respectively described by corresponding domain fuzzy languages to obtain a plurality of fuzzy variable assignment tables, and the fuzzy variables comprise tail coal feeding quantityCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
The fuzzy relation matrix establishing module is used for establishing a first-stage fuzzy inference rule according to the too high tail coal feeding rate to obtain a fuzzy relation matrix of the too high tail coal feeding rate, the tail coal feeding amount and the tail carbon monoxide; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->Establishing a second-stage fuzzy control rule to obtain the automatic coal-withdrawal size of the tail coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
the fuzzy calculation module is used for synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
the automatic coal-withdrawal control module is used for inputting the analog quantity acquired in real time, including the tail coal feeding quantity, the carbon monoxide content in the tail gas and the tail temperature reduction degree value, into the three-dimensional fuzzy control system, carrying out the transformation of fuzzy domain, and calculating according to the fuzzy calculation expression to obtain the fuzzy control quantity, namely the excessive tail coal feeding quantityAnd the size of the tail coal is +.>And outputting to complete the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
By adopting the technical scheme, the value fields of the variables are divided into a plurality of grades by the membership function model building module, and the description is specifically carried out by using corresponding discourse domain fuzzy languages respectively:
corresponding to tail coal feeding, dividing the tail coal feeding into 3 grades according to a coal feeding average value a-1.4a per hour, and describing the tail coal feeding by using a domain fuzzy language;
for the content of carbon monoxide and CO in the tail gas, dividing 3 grades according to 0-9000ppm, and describing by using a domain fuzzy language;
for the tail temperature decrease trend, 3 grades are marked according to-1.5-0, and description is carried out by using a domain fuzzy language.
The first-stage fuzzy inference rule is specifically as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Is big;
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small.
The second-stage fuzzy control rule is specifically as follows:
1) If it isJust big and +.>Small negative, then->Negative middle;
2) If it isJust big and +.>In the negative, then->The negative is large;
3) If it isJust big and +.>Big negative, then->The negative is large;
4) If it isThe middle energizer and->Small negative, then->The negative is small;
5) If it isThe middle energizer and->In the negative, then->The negative is small;
6) If it isThe middle energizer and->Big negative, then->Negative middle;
7) If it isJust small and +.>Big negative, then->The negative is small.
The invention also provides a computer storage medium which can be executed by a processor and is stored with a computer program, and the computer program executes the automatic coal withdrawal control method of the cement kiln decomposing furnace under the RDF condition according to the technical scheme.
The invention has the beneficial effects that: the invention adopts a fuzzy control method to carry out fuzzy analysis on the coal feeding amount of tail coal and the CO content in tail gas and combines the descending trend of tail temperature to make timely deduction on the possible oxygen deficiency condition in the decomposing furnace, and timely take coal removing measures to avoid the out-of-control condition of tail temperature caused by further deterioration of the combustion environment in the decomposing furnace.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method for controlling automatic coal withdrawal of a cement kiln decomposing furnace under RDF conditions in accordance with an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention establishes a membership function of tail coal feeding based on historical data, establishes a membership function of CO and tail temperature trend in tail gas by using a long-term empirical value, and realizes three-dimensional fuzzy operation by two-stage two-dimensional fuzzy operation on a three-dimensional fuzzy controller taking the tail coal feeding and the decreasing trend of CO content and temperature in tail gas as input. And establishing a corresponding fuzzy control rule. For the first-stage fuzzy operation, establishing a fuzzy relation matrix of the tail coal feeding amount and the CO content in the tail gas according to a control rule, and calculating to obtain a fuzzy vector of the current tail coal feeding degree; and for the second-stage fuzzy operation, obtaining fuzzy control output according to a first-stage operation result established by the control rule and a fuzzy relation matrix of the current tail temperature descending trend and a fuzzy operation synthesis rule, and finally obtaining the output quantity of the fuzzy controller, namely carrying out a coal withdrawal degree treatment strategy on tail coal feeding according to the fuzzy control value rule.
As shown in fig. 1, the automatic coal withdrawal control method for the cement kiln decomposing furnace under the RDF condition of the embodiment of the invention comprises the following steps:
s1, constructing a three-dimensional fuzzy control system, wherein the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy; wherein the tail temperature is the outlet temperature of the decomposing furnace.
S2, building a plurality of variable membership function models, wherein the plurality of variables comprise tail coal feed, tail gas carbon monoxide and tail temperature of the decomposing furnace, respectively dividing the value ranges of the variables into a plurality of grades, respectively describing the grades by using corresponding discourse fuzzy languages to obtain a plurality of fuzzy variable assignment tables, and the plurality of fuzzy variables comprise tail coal feed amountCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
S3, establishing a first-stage fuzzy inference rule according to the excessive coal feeding of the tail coal to obtain a fuzzy relation matrix of the excessive coal feeding of the tail coal, the coal feeding amount of the tail coal and the carbon monoxide of the tail gas; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->A second-level fuzzy control rule is established,obtaining the automatic coal-removing size of the tailing coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
s4, synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
s5, inputting the analog quantity acquired in real time, including the tail coal feeding quantity, the carbon monoxide content in the tail gas and the tail temperature reduction degree value, into a three-dimensional fuzzy control system, carrying out fuzzy domain conversion, and calculating according to a fuzzy calculation expression to obtain the excessive tail coal feeding quantityAnd the size of the tail coal is +.>And outputting to complete the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
Further, in step S2, the value ranges of the variables are classified into a plurality of levels, and the values are described by using corresponding discourse fuzzy languages respectively, which specifically includes:
corresponding to tail coal feeding, dividing the tail coal feeding into 3 grades according to a coal feeding average value a-1.4a per hour, and describing the tail coal feeding by using a domain fuzzy language;
for the content of carbon monoxide and CO in the tail gas, dividing 3 grades according to 0-9000ppm, and describing by using a domain fuzzy language;
for the tail temperature decrease trend, 3 grades are marked according to-1.5-0, and description is carried out by using a domain fuzzy language.
Further, the first-level fuzzy inference rule is specifically as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Is big;
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small.
The second-stage fuzzy control rule is specifically as follows:
1) If it isJust big and +.>Small negative, then->Negative middle;
2) If it isJust big and +.>In the negative, then->The negative is large;
3) If it isJust big and +.>Big negative, then->The negative is large;
4) If it isThe middle energizer and->Small negative, then->The negative is small;
5) If it isThe middle energizer and->In the negative, then->The negative is small;
6) If it isThe middle energizer and->Big negative, then->Negative middle;
7) If it isJust small and +.>Big negative, then->The negative is small.
Wherein the tail coal of the fuzzy vector is excessively large in coal feedingAnd tail temperature decrease trend->The values of (2) follow the following principle:
a membership degree maximum principle;
and when the membership value is the maximum value, the grade value with the minimum absolute value of the preferred grade is selected.
In another embodiment of the invention, the automatic coal withdrawal control method for the cement kiln decomposing furnace under the RDF condition comprises the following steps:
s1, establishing a variable membership function model:
for the coal feeding amount of the tail coal, the average value of an hour is a #Wherein p is i Is the sampling value of the period of the coal feeding amount of the tail coal (the sampling period is 1 second) and the 1.4 times of the average value of the hours (1.4), is divided into 3 grades, and the fuzzy language of the discourse domain is described as PS, PM and PB, and then the fuzzy language of the discourse domain is provided with
For CO content in exhaust gas, 3 grades are divided according to 0-9000ppm, and the discourse fuzzy language is described as PS, PM and PB, and then the CO content is expressed as
For the tail temperature trend to drop, the scale of the tail temperature trend is 3 grades according to the size of-1.5 to 0, and the discoloured language of the discourse is described as NS, NM and NB, then the tail temperature trend is classified as follows
Thereby obtaining fuzzy variableIs set in the table of assignment:
TABLE 1 tailing coal feed
TABLE 2 carbon monoxide content of tail gas
TABLE 3 Tail temperature decrease trend
TABLE 4 excessive coal feeding of tailing
S2, establishing a fuzzy control rule:
too high coal supply for tail coalThe first level fuzzy control rules can be summarized as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Is big;
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small;
obtaining excessive coal feeding and coal feeding amount of tail coal according to the fuzzy control ruleAnd tail gas CO->Is>
For automatic coal withdrawalBy determining the fuzzy conclusion of the current tailing coal feed +.>And the decreasing trend of tail temperature +.>The fuzzy control rule is established as follows:
7) If it isJust big and +.>Small negative, then->Negative middle;
8) If it isJust big and +.>In the negative, then->The negative is large;
9) If it isJust big and +.>Big negative, then->The negative is large;
10 If any)The middle energizer and->Small negative, then->The negative is small;
11 If any)The middle energizer and->In the negative, then->The negative is small;
12 If any)The middle energizer and->Big negative, then->Negative middle;
13 If any)Just small and +.>Big negative, then->The negative is small;
the automatic coal withdrawal size is obtained according to the reasoning rulesSize of coal feed compared with current tailing coal>And tail temperature decrease trend->The fuzzy relation matrix of (a) is:
s3, fuzzy control output is performed according to a fuzzy control synthesis rule, and the tail coal is too high in coal feedingCoal withdrawal size of tail coalThe method comprises the following steps of:
in the formula, T represents matrix transposition, and O represents fuzzy operation.
x i 、y j The values of the levels of the respective elements are indicated,representing the membership degree of the elements in the tailing coal feeding size vector under the corresponding element grade, +.>And the membership degree of the elements in the automatic coal-withdrawal size vector of the tail coal under the corresponding element grade is represented. According to the analog quantity collected in real time, the corresponding assignment table is compared, and the variable is completed: the conversion of the carbon monoxide and tail temperature drop degree value in the current tail coal feeding and tail gas from the basic domain to the fuzzy domain is carried out, the fuzzy vector of 1 multiplied by 3 is obtained by the formulas (15) and (16), and the current tail coal feeding of the first-stage fuzzy control is too large>And the automatic coal withdrawal degree of the tailing coal>The value follow the principle that: a membership degree maximum principle; and when the membership value is the maximum value, the grade value with the minimum absolute value of the preferred grade is selected. According toAnd (3) carrying out automatic coal withdrawal treatment on the tail coal.
The fuzzy control system is used as a sub-functional module of a cement kiln decomposing furnace temperature control system under the RDF condition, data acquisition is completed through a DCS (Distribued Control System distributed control system), fuzzy control operation is completed in the background, and a tail coal withdrawal strategy is provided.
In the third embodiment of the invention, at present, the real-time acquired tail coal feeding amount is 14.3 tons/hour (the average value of the tail coal feeding amount is 12.8), the carbon monoxide content in the tail gas is 5000ppm, the tail temperature descending trend is-0.8 ℃/s, and the current working conditions can be respectively obtained through membership function fuzzy variable assignment tables 1, 2 and 3: the fuzzy vectors corresponding to the current tail coal feeding, tail gas carbon monoxide content and tail temperature trend reduction are respectively as follows:
then
Calculated from equation (13):
according to the tail coal feeding fuzzy vector obtained by the first-stage fuzzy calculation, the tail temperature descending trend fuzzy vector is combined to obtain:
calculated from equation (14):
and (3) according to the principle of maximum membership, carrying out moderate coal withdrawal treatment on the tail coal feeding.
The automatic coal withdrawal control system of the cement kiln decomposing furnace under the RDF condition comprises:
the system construction module is used for constructing a three-dimensional fuzzy control system, the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy;
the membership function model building module is used for building a plurality of variable membership function models, wherein the variables comprise tail coal feeding, tail gas carbon monoxide and tail temperature of the decomposing furnace, the value ranges of the variables are respectively divided into a plurality of grades, and are respectively described by corresponding domain fuzzy languages to obtain a plurality of fuzzy variable assignment tables, and the fuzzy variables comprise tail coal feeding quantityCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
The fuzzy relation matrix building module is used for building a first-stage fuzzy inference rule according to the overhigh coal feeding of the tail coal to obtain the overhigh coal feeding of the tail coalA fuzzy relation matrix of the coal feeding amount of the high and tail coal and the carbon monoxide of the tail gas; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->Establishing a second-stage fuzzy control rule to obtain the automatic coal-withdrawal size of the tail coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
the fuzzy calculation module is used for synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
the automatic coal-withdrawal control module is used for inputting the analog quantity acquired in real time, including the tail coal feeding quantity, the carbon monoxide content in the tail gas and the tail temperature reduction degree value, into the three-dimensional fuzzy control system, carrying out the transformation of fuzzy domain, and calculating according to the fuzzy calculation expression to obtain the fuzzy control quantity, namely the excessive tail coal feeding quantityAnd the size of the tail coal is +.>And outputAnd (5) completing the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
The modules in the automatic coal withdrawal control system of the cement kiln decomposing furnace under the RDF condition in the embodiment of the invention are mainly used for realizing the steps in the embodiment of the method, and the same parts are not repeated here.
The present invention also provides a computer readable storage medium such as a flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application store, etc., on which a computer program is stored that when executed by a processor performs a corresponding function. The computer readable storage medium of the present embodiment is used for realizing the automatic coal withdrawal control method of the cement kiln decomposing furnace under the RDF condition of the method embodiment when being executed by the processor.
The invention is based on a DCS platform, combines cement manufacturing process theory and actual working experience, and controls a system to automatically carry out coal withdrawal treatment under the condition that the kiln tail decomposing furnace is too high in CO and the combustion environment is deteriorated under the RDF condition. The two-stage two-dimensional fuzzy controller is established to realize three-dimensional fuzzy control, and a fuzzy control rule is established for the current tail coal feeding amount, the CO content in tail gas, the tail temperature descending trend and the tail coal withdrawal degree of the tail coal, so that the three-dimensional fuzzy control is realized, and the thermodynamic equilibrium system in the cement kiln production process is stabilized.
It will be understood that modifications and variations will be apparent to those skilled in the art from the foregoing description, and it is intended that all such modifications and variations be included within the scope of the following claims.
Claims (10)
1. The automatic coal withdrawal control method for the cement kiln decomposing furnace under the RDF condition is characterized by comprising the following steps of:
s1, constructing a three-dimensional fuzzy control system, wherein the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy;
s2, building a plurality of variable membership function models, wherein the plurality of variables comprise tail coal feed, tail gas carbon monoxide and tail temperature of the decomposing furnace, respectively dividing the value ranges of the variables into a plurality of grades, respectively describing the grades by using corresponding discourse fuzzy languages to obtain a plurality of fuzzy variable assignment tables, and the plurality of fuzzy variables comprise tail coal feed amountCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
S3, establishing a first-stage fuzzy inference rule according to the excessive coal feeding of the tail coal to obtain a fuzzy relation matrix of the excessive coal feeding of the tail coal, the coal feeding amount of the tail coal and the carbon monoxide of the tail gas; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->Establishing a second-stage fuzzy control rule to obtain the automatic coal-withdrawal size of the tail coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
s4, synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
s5, inputting the analog quantity acquired in real time, including the tail coal feeding quantity, the carbon monoxide content in the tail gas and the tail temperature reduction degree value, into a three-dimensional fuzzy control system, carrying out fuzzy domain conversion, and calculating according to a fuzzy calculation expression to obtain the excessive tail coal feeding quantityAnd the size of the tail coal is +.>And outputting to complete the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
2. The automatic coal withdrawal control method for cement kiln decomposing furnace under RDF condition of claim 1, wherein in step S2, the value ranges of the variables are divided into a plurality of grades, and the description is specifically carried out by using corresponding discourse fuzzy languages:
corresponding to tail coal feeding, dividing the tail coal feeding into 3 grades according to a coal feeding average value a-1.4a per hour, and describing the tail coal feeding by using a domain fuzzy language;
for the content of carbon monoxide and CO in the tail gas, dividing 3 grades according to 0-9000ppm, and describing by using a domain fuzzy language;
for the tail temperature decrease trend, 3 grades are marked according to-1.5-0, and description is carried out by using a domain fuzzy language.
3. The method for automatically controlling coal withdrawal of a cement kiln decomposing furnace under the RDF condition according to claim 1, wherein the first-stage fuzzy inference rule is specifically as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Is big;
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small.
4. The method for automatically controlling coal withdrawal of a cement kiln decomposing furnace under the RDF condition according to claim 1, wherein the second-stage fuzzy control rule is specifically as follows:
1) If it isJust big and +.>Small negative, then->Negative middle;
2) If it isJust big and +.>In the negative, then->The negative is large;
3) If it isJust big and +.>Big negative, then->The negative is large;
4) If it isThe middle energizer and->Small negative, then->The negative is small;
5) If it isThe middle energizer and->In the negative, then->The negative is small;
6) If it isThe middle energizer and->Big negative, then->Negative middle;
7) If it isJust small and +.>Big negative, then->The negative is small.
5. The method for automatically controlling coal withdrawal of cement kiln decomposing furnace under RDF condition according to claim 3, wherein the fuzzy vector tail coal is excessively fedAnd tail temperature decrease trend->The values of (2) follow the following principle:
a membership degree maximum principle;
and when the membership value is the maximum value, the grade value with the minimum absolute value of the preferred grade is selected.
6. An automatic coal withdrawal control system for a cement kiln decomposing furnace under RDF conditions is characterized by comprising:
the system construction module is used for constructing a three-dimensional fuzzy control system, the input of the system is the current tail coal feeding amount, the tail gas carbon monoxide content and the tail temperature descending trend degree, and the output of the system is a tail coal withdrawal control strategy;
a membership function model building module for building multiple variable membership functionsThe model comprises a plurality of variables including tail coal feeding, tail gas carbon monoxide and tail temperature of the decomposing furnace, the value ranges of the variables are respectively divided into a plurality of grades, and are respectively described by corresponding discourse fuzzy languages to obtain a plurality of fuzzy variable assignment tables, wherein the fuzzy variables comprise tail coal feeding quantityCarbon monoxide content of the exhaust gas>Tail temperature decrease trend->Excessive coal feeding of tailing>
The fuzzy relation matrix establishing module is used for establishing a first-stage fuzzy inference rule according to the too high tail coal feeding rate to obtain a fuzzy relation matrix of the too high tail coal feeding rate, the tail coal feeding amount and the tail carbon monoxide; according to the calculation of automatic coal withdrawal and the current fuzzy vector, the tail coal is excessively fedAnd tail temperature decrease trend->Establishing a second-stage fuzzy control rule to obtain the automatic coal-withdrawal size of the tail coal>Excessive coal feeding with tailing coal>Tail temperature decrease trend->Is a fuzzy relation matrix of the (a);
the fuzzy calculation module is used for synthesizing the two-stage rules according to the fuzzy control synthesis rules to obtain excessive tail coal feedingAutomatic coal-removing size of tailing>Is a fuzzy computational expression of (2);
the automatic coal-withdrawal control module is used for inputting the analog quantity acquired in real time, including the tail coal feeding quantity, the carbon monoxide content in the tail gas and the tail temperature reduction degree value, into the three-dimensional fuzzy control system, carrying out the transformation of fuzzy domain, and calculating according to the fuzzy calculation expression to obtain the fuzzy control quantity, namely the excessive tail coal feeding quantityAnd the size of the tail coal is +.>And outputting to complete the automatic coal withdrawal control of the cement kiln decomposing furnace under the RDF condition.
7. The automatic coal withdrawal control system for a cement kiln decomposing furnace under the RDF condition of claim 6, wherein the membership function model building module divides the value range of each variable into a plurality of grades, and describes the values with corresponding discourse fuzzy languages respectively specifically as follows:
corresponding to tail coal feeding, dividing the tail coal feeding into 3 grades according to a coal feeding average value a-1.4a per hour, and describing the tail coal feeding by using a domain fuzzy language;
for the content of carbon monoxide and CO in the tail gas, dividing 3 grades according to 0-9000ppm, and describing by using a domain fuzzy language;
for the tail temperature decrease trend, 3 grades are marked according to-1.5-0, and description is carried out by using a domain fuzzy language.
8. The automatic coal withdrawal control system for a cement kiln decomposing furnace under the RDF condition of claim 6, wherein the first-stage fuzzy inference rule is specifically as follows:
1) If it isJust big, then->Is big;
2) If it isJust big and +.>In the middle, then->Is big;
3) If it isJust big and +.>Just small, then->The middle part;
4) If it isThe middle energizer and->In the middle, then->The middle part;
5) If it isThe middle energizer and->Just small, then->Is small;
6) If it isJust small and +.>Just small, then->Is small.
9. The automatic coal withdrawal control system for a cement kiln decomposing furnace under RDF conditions according to claim 6, wherein the second-stage fuzzy control rule is specifically as follows:
1) If it isJust big and +.>Small negative, then->Negative middle;
2) If it isJust big and +.>In the negative, then->The negative is large;
3) If it isJust big and +.>Big negative, then->The negative is large;
4) If it isThe middle energizer and->Small negative, then->The negative is small;
5) If it isThe middle energizer and->In the negative, then->The negative is small;
6) If it isThe middle energizer and->Big negative, then->Negative middle;
7) If it isJust small and +.>Big negative, then->The negative is small.
10. A computer storage medium executable by a processor and having stored therein a computer program for executing the method for controlling automatic coal withdrawal of a cement kiln decomposing furnace under RDF conditions as claimed in any one of claims 1 to 5.
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