CN107247994A - A kind of fuzzy Modeling Method of pallet absorber desulfurization device desulfuration efficiency - Google Patents
A kind of fuzzy Modeling Method of pallet absorber desulfurization device desulfuration efficiency Download PDFInfo
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Abstract
The invention discloses a kind of fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency, comprise the following steps:SO in exhaust gas volumn, inlet flue gas is chosen first2Concentration, liquid-gas ratio and the pH value on absorption tower are used as output variable as the input variable of fuzzy model, the desulfuration efficiency of selection pallet tower;From triangular membership, the linguistic variable domain of each input/output variable and the fuzzy rule of system are determined, fuzzy relation matrix, ambiguity solution and the fuzzy model for setting up desulfuration efficiency is calculated;Secondly according to SO in exhaust gas volumn, inlet flue gas2The influence relation of concentration, liquid-gas ratio, the pH value on absorption tower to desulfuration efficiency, corrects fuzzy rule;The multi-group datas of accidental conditions is finally chosen as verification sample, the multi-group data of other periods as test sample, by sample quantization and desulfuration efficiency simulation data is carried out, by comparative analysis come presetting parameter;Computational accuracy of the present invention is high, software load is small, and the desulfuration efficiency of system can be carried out effectively to predict and regulate and control.
Description
Technical field
The present invention relates to desulphurization system control method, more particularly to a kind of mould of pallet tower wet desulphurization device desulfuration efficiency
Paste modeling method.
Background technology
Hot pallet tower sulfur removal technology sets up one or more percolation hole below the spraying layer on absorption tower or between spraying layer
Sheet tray, flue gas, which enters to be evenly distributed to through pallet rectification behind absorption tower, entirely to be absorbed on tower section, is strengthened mass transfer and is improved suction
Receive agent utilization rate, reduce liquid-gas ratio, desulfuration efficiency can reach more than 99%, at the same reduce circulation slurry pump flow and
Power consumption.Have the advantages that efficiency high, energy consumption are low, stable, it is convenient to transform.Pallet absorber desulfurization device application in the country's is more next at present
It is more, there is preferable application prospect in future.
The theory of the most research rested on to pallet apparatus of existing pallet tower desulphurization system research and desulfuration efficiency is ground
Study carefully, for example, strengthen flow of flue gas uniformity by changing pallet opening area and percent opening, run and carry out for desulphurization system
The research of on-line monitoring is less.In actual moving process, desulphurization system operating condition deteriorates often, once without finding in time
Problem, will be unfavorable for desulfuration efficiency qualified discharge, and huge economic losses are caused to full factory, therefore operating condition must be controlled in certain model
In enclosing.In order to ensure that the safe and continuous of monoblock is run, set up accurate wet process of FGD EFFICIENCY PREDICTION model to instruct
Desulfurizing system optimization operation is significant.The algorithm of desulfuration efficiency simulation model is complicated simultaneously, for practical engineering application
Complicated nonlinear system mathematical modeling is also relatively difficult.
The content of the invention
Goal of the invention:In order to effectively predict the desulfuration efficiency of pallet tower desulphurization system, in power plant's complexity change working condition
Under to desulfuration efficiency carry out in real time monitoring and to duty parameter carry out it is presetting to prevent service condition deteriorate, the invention provides one kind
The fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency.
Technical scheme:A kind of fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency of the present invention, bag
Include following steps:
(1) according to the practical operation situation of power plant's pallet tower wet flue gas desulfurizer, exhaust gas volumn V, inlet flue gas are chosen
Middle SO2Concentration N, liquid-gas ratio E, the pH value P on absorption tower choose the desulfuration efficiency U of pallet tower as the input variable of fuzzy model
For output variable;
(2) membership function of input variable and output variable is set as triangular membership, by exhaust gas volumn V, entrance cigarette
SO in gas2Concentration N, liquid-gas ratio E and desulfuration efficiency U linguistic variable domain are set to [- n1, n1], the pH value linguistic variable on absorption tower
Domain is set to [- n2, n2], wherein, n1And n2It is positive integer;Pass through long-term live tracking test and a large amount of experts of accumulation
Knowledge and desulfurization documents and materials, sum up the control rule base of Fuzzy Diagnostic System;Fuzzy push away is carried out using Mamdani algorithms
Reason, selection centroid method carries out ambiguity solution, sets up the fuzzy model of desulfuration efficiency;
(2a) exhaust gas volumn V, entrance SO2Concentration N, liquid-gas ratio E and desulfuration efficiency U respectively take respectively it is negative big, negative it is small, zero, it is just small,
Honest five fuzzy subsets, are expressed as NB, NS, ZE, PS, PB;The pH value P on the absorption tower take respectively it is small, in, big three obscure
Subset, is expressed as L, Z, H.
The fuzzy condition statement of (2b) fuzzy rule is " if A and B then C ", each rule can set up one
Individual fuzzy relation Ri, using CRI synthetic methods, the fuzzy relationship matrix r calculation formula for obtaining the model is as follows:
C=(A × B) ο R
μR(x, yz)=m ax [μA(x)∩μB(y)∩μc(z)]
If the input e of known system0Correspondence fuzzy variable E*, can obtain fuzzy output variable U*:
U*=E* ο R
(3) the export on-line monitoring hour data from power plant's pallet tower desulfurization database, excludes desulfurization stoppage in transit and instrument event
The abnormal data that causes of barrier reason, probes into pallet tower desulphurization system SO in exhaust gas volumn V, inlet flue gas2Concentration N, liquid-gas ratio E,
Influence relations of the pH value P on absorption tower to desulfuration efficiency U.
(4) multi-group data of accidental conditions is chosen as verification sample, and the multi-group data of other periods is used as test
Sample, using fuzzy model described in step (2), by after sample quantization by writing degree of membership calculation procedure, respectively to verification
Sample carries out model measurement verification, and corrects fuzzy rule base again, obtains the fuzzy rule of 125 desulphurization systems;Using repairing
Model after changing carries out desulfuration efficiency simulation data to test sample, by comparative analysis come presetting parameter.
Beneficial effect:The present invention compared with prior art, with following significant advantage:The present invention can change in power plant's complexity
Under working condition, effectively prediction and monitoring in real time are carried out to the desulfuration efficiency of pallet tower desulphurization system, calculating speed is fast, precision
Height, the presetting of duty parameter can be carried out in time, contribute to the operation of pallet tower desulfurizing system optimization and energy-saving.
Brief description of the drawings
Fig. 1 is fuzzy Modeling Method flow chart of the invention;
Fig. 2 is pallet tower wet desulphurization device desulfuration efficiency Fuzzy Model Structure figure of the invention;
Fig. 3 is compared figure for the verification sample desulfuration efficiency simulation data of the present invention with actual value;
Fig. 4 is compared figure for the test sample desulfuration efficiency simulation data of the present invention with actual value.
Embodiment
Technical scheme is described in further detail with reference to embodiment and accompanying drawing.
By taking the improved pallet tower desulphurization system of certain steam power plant as an example, as Fig. 1 shows, a kind of pallet tower wet method of the invention takes off
The fuzzy Modeling Method of sulphur device desulfuration efficiency, specifically includes following steps:
(1) power plant's pallet tower wet desulfurization system operational factor is acquired, chooses SO in exhaust gas volumn V, inlet flue gas2
Concentration N, liquid-gas ratio E, the pH value P on absorption tower are as the input variable of fuzzy model, and the desulfuration efficiency U of pallet tower is output change
Amount, as shown in Figure 2;
Fuzzy processing is carried out to the data that power plant gathers, Fuzzy processing is carried out using factor pair operational factor is quantified,
It is [x by continuous domainL, xH] be quantified as integer set {-n,-n+1 ..., -1,0,1 ..., n-1, n }, then quantizing factor k:
Wherein xLAnd xHThe respectively maximum and minimum value of continuous domain, n is setting integer, and the present invention takes n=2 and n respectively
=4;
Element x in continuous domain is converted to the element X in discrete domain by following formula again:
In formula,<>Represent and rounding-off method rounding operation is used to X, X is the value after real data quantifies, and is used as input number
According to using.
(2) membership function for setting operational factor (input variable) and desulfuration efficiency (output variable) is subordinate to letter as triangle
Number, by SO in exhaust gas volumn V, inlet flue gas2Concentration N, liquid-gas ratio E and desulfuration efficiency U linguistic variable domain are set to [- 4,4], suction
The linguistic variable domain for receiving the pH value P of tower is set to [- 2,2];Model measurement and verification are included by long-term live tracking test
(result and actual power plant's data comparison are changed), and a large amount of expertises and desulfurization documents and materials are accumulated, sum up bag
Include the Fuzzy Diagnostic System control rule base of 125 fuzzy rules;
Fuzzy reasoning is carried out using Mamdani algorithms, using centroid (gravity model appoach) ambiguity solution, desulfuration efficiency is set up
Fuzzy model;
(2a) exhaust gas volumn V, entrance SO2Concentration N, liquid-gas ratio E and desulfuration efficiency U take negative big (NB), negative small (NS), zero respectively
(ZE), just small (PS), honest (PB) five fuzzy subsets;The pH value P on absorption tower take respectively small (L), in (Z), big (H) three moulds
Paste subset;
" if A and B then C ", each rule can set up one to the fuzzy condition statement of (2b) fuzzy rule
Fuzzy relation Ri, using CRI synthetic methods, the fuzzy relationship matrix r calculation formula for obtaining the model is as follows:
C=(A × B) ο R
μR(x, y, z)=m ax [μA(x)∩μB(y)∩μc(z)]
If the input e of known system0Correspondence fuzzy variable E*, can obtain fuzzy output variable U*:
U*=E* ο R
(3) abnormal data that desulfurization stoppage in transit and instrument fault reason are caused is excluded, probes into flue gas in pallet tower desulphurization system
SO in amount, inlet flue gas2The influence relation of concentration, liquid-gas ratio, the pH value on absorption tower to desulfuration efficiency:Pallet tower desulphurization system
Exhaust gas volumn, entrance SO2The influence relation of concentration, liquid-gas ratio, absorption tower pH to the desulfuration efficiency of the system is specially:In other ginsengs
In the case that number is constant, when exhaust gas volumn and entrance so2 concentration increase within the specific limits, desulfuration efficiency early stage, which increases, more to be delayed
Slowly, it is held essentially constant, the later stage gradually increases.But when both exceed certain limit, desulfuration efficiency will be begun to decline.Liquid-gas ratio
During increase, desulfuration efficiency also increases, and when liquid-gas ratio increases to 14 or so, desulfuration efficiency is not further added by;Slurries pH controls exist
Desulfuration efficiency is best when between 5.0-6.0;Fuzzy rule base is corrected accordingly.
(4) pallet tower desulfurization Monitoring Data carries out emulation testing as test samples and test sample;
(4a) chooses 395 groups of data in accidental conditions and, as verification sample, utilizes the fuzzy mould set up in step (2)
Type, the continuous domain of sample is quantified, degree of membership calculation procedure is write, and carries out desulfuration efficiency simulation data to verification sample, again
Fuzzy rule base is corrected, the accuracy of model is further improved, obtains 125 fuzzy rules, as shown in table 1;After Fig. 3 is amendment
Verification sample desulfuration efficiency simulation data compared figure with actual value;
Table 1
(4b), with the fuzzy model set up, 336 groups of test specimens to other periods carry out desulfuration efficiency simulation data, led to
Cross analog result analysis and carry out presetting operational factor, Fig. 4 is that test sample desulfuration efficiency simulation data is compared figure with actual value.As a result table
Bright error is smaller, and predictablity rate is high.
As described above, although the present invention has been stated and illustrated with reference to specific preferred embodiment, it must not be explained
For to the limitation of itself of the invention., can be right under the premise of the spirit and scope of the present invention that appended claims are defined are not departed from
Various changes can be made in the form and details for it.
Claims (6)
1. a kind of fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency, it is characterised in that comprise the following steps:
(1) according to the practical operation situation of power plant's pallet tower wet desulphurization device, SO in exhaust gas volumn V, inlet flue gas is chosen2Concentration
N, liquid-gas ratio E, the pH value P on absorption tower choose the desulfuration efficiency U of pallet tower as output change as the input variable of fuzzy model
Amount;
(2) membership function of input variable and output variable is set as triangular membership, by exhaust gas volumn V, inlet flue gas
SO2Concentration N, liquid-gas ratio E and desulfuration efficiency U linguistic variable domain are set to [- n1, n1], the pH value P on absorption tower linguistic variable
Domain is set to [- n2, n2], n1And n2It is positive integer;Determine the fuzzy rule of pallet tower desulphurization system;Calculate fuzzy relation square
Battle array;Ambiguity solution and the fuzzy model for setting up desulfuration efficiency;
(3) the export on-line monitoring hour data from power plant's pallet tower desulfurization database, according to flue gas in pallet tower desulphurization system
Measure SO in V, inlet flue gas2The influence relation of concentration N, liquid-gas ratio E, the pH value P on absorption tower to desulfuration efficiency, corrects above-mentioned fuzzy
Rule;
(4) choose accidental conditions multi-group data as verification sample, the multi-group data of other periods as test sample,
Using fuzzy model described in step (2), by writing degree of membership calculation procedure, verification sample will be entered respectively after sample quantization
Row model measurement is verified, and corrects fuzzy rule base again, obtains the fuzzy rule of 125 desulphurization systems;Using amended
Model carries out desulfuration efficiency simulation data to test sample, by comparative analysis come presetting parameter.
2. the fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency according to claim 1, it is characterised in that:
Exhaust gas volumn V, entrance SO in the step (2)2Concentration N, liquid-gas ratio E and desulfuration efficiency U respectively take respectively it is negative big, negative it is small, zero, just
Small, honest five fuzzy subsets, are expressed as NB, NS, ZE, PS, PB;The pH value P on the absorption tower take respectively it is small, in, it is big three
Fuzzy subset, is expressed as L, Z, H.
3. the fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency according to claim 1, it is characterised in that:
The fuzzy condition statement of fuzzy rule is " if A and B then C ", using CRI synthetic methods, are somebody's turn to do in the step (2)
The fuzzy relationship matrix r of model:
μR(x, y, z)=max [μA(x)∩μB(y)∩μC(z)]
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<mo>=</mo>
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</mrow>
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If the input e of known system0Correspondence fuzzy variable A* and B*, then obtain fuzzy output variable U*:
4. the fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency according to claim 1, it is characterised in that:
In step (2), fuzzy reasoning is carried out using Mamdani algorithms.
5. the fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency according to claim 1, it is characterised in that:
In step (2), ambiguity solution is carried out using gravity model appoach.
6. the fuzzy Modeling Method of pallet tower wet desulphurization device desulfuration efficiency according to claim 1, it is characterised in that:
In step (3), the slurries pH of the pallet tower desulphurization system is controlled in 5.0-6.0.
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Cited By (3)
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CN113505497A (en) * | 2021-08-18 | 2021-10-15 | 山东建筑大学 | Method and system for monitoring slurry quality of wet flue gas desulfurization absorption tower |
CN114911169A (en) * | 2022-06-13 | 2022-08-16 | 大唐环境产业集团股份有限公司 | Method, system, equipment and medium for optimizing desulfurization synergistic device |
CN115970476A (en) * | 2023-01-16 | 2023-04-18 | 西安热工研究院有限公司 | Automatic slurry supply control method for desulfurization island based on DCS control system |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
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CN113505497A (en) * | 2021-08-18 | 2021-10-15 | 山东建筑大学 | Method and system for monitoring slurry quality of wet flue gas desulfurization absorption tower |
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CN114911169A (en) * | 2022-06-13 | 2022-08-16 | 大唐环境产业集团股份有限公司 | Method, system, equipment and medium for optimizing desulfurization synergistic device |
CN115970476A (en) * | 2023-01-16 | 2023-04-18 | 西安热工研究院有限公司 | Automatic slurry supply control method for desulfurization island based on DCS control system |
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