CN103423763B - A kind of method revising radiation energy signal static deviation - Google Patents
A kind of method revising radiation energy signal static deviation Download PDFInfo
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Abstract
The present invention proposes a kind of method revising radiation energy signal static deviation, it belongs to heat power plant boiler combustion monitoring and control technology.First video frequency collection card is driven to complete the collection of flame image and extract each pixel RGB colouring information; R value size is utilized to judge detector coking state; Next utilizes relative coefficient to judge detector dust stratification state; Add up effective detector number and numbering, extract the radiant energy signal of effective detector and do ratio correction; Finally be averaged post filtering to the radiant energy signal of all effective detectors to export.Operation result shows, use the radiation energy signal static deviation that the revised radiant energy signal of method of the present invention can eliminate detector dust stratification, coking, null offset and the runnability such as collecting ash, coking changing factor are introduced, the radiant energy signal that a reliability is strong, accurate, stable is provided, the pulsating nature of effective reflection furnace flame, ensures the continuous use of radiant energy control system.
Description
Technical field
The present invention relates to heat power plant boiler combustion monitoring and control technology field, particularly relate to a kind of method revising radiation energy signal static deviation of required stove combustion energy level under accurately reflecting fossil-fired unit different load.
Background technology
At present, a kind of coal burning boiler of power station stove combustion Fire Radiation signal detecting method based on radiant image and technology are proposed in prior art, this technology use 4-20 props up high temperature resistant flame detector and is arranged on pulverized coal firing boiler, continuous shooting Flame Image, therefrom extract burning radiation energy signal and be used for fired power generating unit combustion control, achieve certain control effects, Zhou Huaichun, Lou is newborn, Yin Heling etc. " the station boiler fuel adjusting object modeling of employing radiant energy signal and control imitation research " (Proceedings of the CSEE, 2001, 21 (2): 85-88), Zhang Shishuai, Zhou Huaichun, Huang Yongli etc., " adopting the fired power generating unit load control system simulation study of radiant energy feedback signal " (Proceedings of the CSEE, 2001,21 (2): 85-88), Zhang Shishuai, Zhou Huaichun, Peng Min etc., " the power station coal unit Combustion System research based on furnace radiant energy signal " (Proceedings of the CSEE, 2002,22 (11): 156-160), Zhou Huaichun, " furnace flame Visual retrieval philosophy and technique " (Science Press, in May, 2005).The key of this control technology is the extraction of radiant energy signal, and Luo Zixue, Yang Chao, Zhou Huaichun etc. propose " the extraction mechanism of furnace radiant energy signal and application study thereof " (power engineering, 2005,25 (3): 374-377).
Some radiant energy computational methods are reported in correlative study.The Yu Daren of Harbin Institute of Technology etc. carry out spectrum analysis to radiant energy signal, complementary FRF (frequency response function) is utilized to revise (Yu Daren, Fan Yi, Xu Zhiqiang to radiant energy signal, " information fusion method of furnace radiant energy signal and heat signal ", Proceedings of the CSEE, 2003,23(4): 158-161,171); Zhejiang University Chang Ruili etc. utilizes the method for spectrum analysis to calculate radiation of burner hearth energy, and computational methods are comparatively complicated, practical application difficulty (Chang Ruili, Wang Fei, yellow groups of stars etc., radiant energy signal spectral distribution property experimental study in coal-powder boiler, generating equipment, 2006, No.2); The method that the large anchor of poplar etc. adopt blackbody furnace to demarcate can carry out theoretical analysis and test research to radiation of burner hearth, do not drop into engineer applied (Yang great Mao, Liu He, Li Sheng, " in stove the measure theory analysis of radiant energy and experimental study ", modern electric, 2006,23 (4)): 53-56); (Luo Zixue, Yang Chao, the Zhou Huaichun such as Luo Zixue, " the extraction mechanism of furnace radiant energy signal and application study thereof ", power engineering, 2005,25 (3): 374-377) have studied a kind of radiant energy signal extracting method based on image intensity value, by calculating the gray value of all pixels and normalization obtains the three-dimensional average gray value of burner hearth, this signal extraction is simple, fast, be applied in engineering reality, but this signal affects larger by picture quality.
In sum, radiant energy signal can quick and precisely reflect furnace cavity combustion position, strong with the relevance of unit.But jitter, pulsation is large, and poor reliability, is particularly using in ash coal kind boiler, and the dust stratification at detector camera lens place and coking will the accuracys of very big interference emission energy signal calculating.Detector in use, block, camera lens place dust stratification, eyeglass variable color etc. all can have an impact to the accurate acquisition of radiant energy signal, and such impact is referred to as static deviation by us here by coking.Static deviation cannot directly by image identifying out, and slowly, deviation progressively accumulates, and causes the complete distortion of data the most at last, causes the misoperation of controller, affects the stability of radiant energy signal control system in its change.
The basis that radiant energy signal is used for Combustion System is a kind of online measuring technique (Zhou Huaichun, furnace flame Visual retrieval philosophy and technique, Science Press, in May, 2005, pp.306-309) that it can be used as stove combustion process to release energy.The factor such as dust stratification and coking except foregoing detection device device camera lens place affects radiant energy signal and correctly reflects except the energy level that stove combustion process discharges, the performance change occurred after the longtime running of boiler own, such as, due to material change after boiler tube longtime running, the boiler heat-transfer hydraulic performance decline that the factor such as dust deposit in furnace and coking causes, radiant energy level in stove is made under unit same load level to increase, at this moment, under different load, in stove, ideal radiation energy level there occurs change, if in stove, ideal radiation energy signal level controls stove combustion under continuing to use the different load before boiler performance changes, too high estimation capacity of furnace level will be there is, send the false command reducing capacity of furnace supply (by fuel and wind).
Therefore, for ensure radiant energy signal detection and control system continuous, correctly use, must revise the static deviation of detector.Revise pulsation and the static deviation of radiant energy signal, need to solve following three problems: a reference value (quiescent value), setting up radiant energy signal; Two, the accurate judgement of detector dust stratification and coking state; Three, the individual difference that detector brings because installation site, aperture, shutter speed etc. are different is revised.
By the thought of PD controller, utilize the real power calculation radiant energy signal quiescent value of unit, introduce a relative coefficient judge link and a proportionality coefficient correction link to measuring the radiant energy signal that obtains, eliminate the static deviation of the introducings such as detector dust stratification, coking, null offset.
Summary of the invention
The object of the invention is to eliminate the radiation energy signal static deviation that detector glues the introducings of runnability changing factor such as detector factor, collecting ash, the cokings such as ash, coking, null offset, the radiant energy signal providing reliability strong, accurate, stable participates in unit coal-burning amount and Boiler pressure control, improves combustion economization.
In order to solve the problem, the technical solution adopted in the present invention is:
Revise a method for radiation energy signal static deviation, there are following steps:
S100. video frequency collection card is driven to complete the collection of flame image and extract each pixel RGB colouring information;
S200. utilize valid pixel in above-mentioned image to count out and judge detector coking state; Relative coefficient is utilized to judge detector dust stratification state; Add up effective detector number and numbering, extract the radiant energy signal of effective detector and do ratio correction;
S300. be averaged post filtering to the radiant energy signal of all effective detectors to export.
The step of the judgement detector coking state described in step S200 is: S201. selected detector image central region is as besel; S202. the inner effective pixel points number of described besel is added up; S203. described effective pixel points number and reservation threshold are made comparisons, what reach described reservation threshold is set to effective detector.After the place's coking of detector camera lens, image is blocked complete blackening, and each pixel R value reduces rapidly, and the threshold values by setting R value determines the state of detector coking.
The dust stratification of detector described in step S200 condition adjudgement according to the real relative coefficient sent out between power signal of radiant energy signal and unit, when the relative coefficient of described detector gained is as calculated less than reservation threshold this detector be set to invalid.Relative coefficient is the index of linear correlation degree between measurement two stochastic variables, when detector camera lens place's dust stratification, the radiant energy signal gathered can reduce gradually, present the variation tendency inconsistent with normal radiation energy signal, the relative coefficient be embodied between the real power signal of unit reduces.Calculate radiant energy signal and the real relative coefficient D sent out between power signal of unit of each detector, determined the state of detector dust stratification by the threshold values of setting D value.
The correction of ratio described in step S200 is according to the real correlation sent out between power signal and radiant energy signal of unit, adopt the real power signal of described unit to calculate the quiescent value of described radiant energy signal, described quiescent value obtains scale factor divided by nearest available energy data.For revising the individual difference that detector brings because installation site, aperture, shutter speed etc. are different, revising the static deviation that radiant energy signal is introduced because of camera lens dust deposition, ratio P correction is carried out to the radiant energy signal that each detector gathers.Adopt the real power signal of unit to calculate the quiescent value of radiant energy signal, the effective radiant energy data in (being generally 1 hour) for the previous period divided by current time, to obtain the P factor, revise the radiant energy signal that current time gathers.Adopting this modification method, is also the method that the correct judgement overcoming the runnability such as collecting ash, the coking changing factor pair ideal radiation energy level corresponding with load makes a difference.Even if due to material change after boiler tube longtime running, the boiler heat-transfer hydraulic performance decline that the factor such as dust deposit in furnace and coking causes, radiant energy level in stove is made under unit same load level to increase, at this moment, the real power signal of unit is adopted to calculate the quiescent value of radiant energy signal, the effective radiant energy data interior for the previous period divided by current time obtain the P factor, revise the radiant energy signal that current time gathers, radiant energy signal is revised constant when just energy guaranteed load is identical, too high estimation capacity of furnace level would not be there is, send the false command reducing capacity of furnace supply (by fuel and wind).
The invention has the beneficial effects as follows: the radiation energy signal static deviation that detector dust stratification, coking, null offset and the runnability such as collecting ash, coking changing factor are introduced can be eliminated, 0 radiant energy signal that a reliability is strong, accurate, stable is provided, the pulsating nature of effective reflection furnace flame, ensures the continuous use of radiant energy control system.
Accompanying drawing explanation
Fig. 1 is a kind of flow chart revising the method for radiation energy signal static deviation of the present invention;
Fig. 2 is the radiant energy signal figure that certain detector normally worked collects.
Fig. 3 is unit real the power signal figure corresponding with Fig. 2.
Fig. 4 is the radiant energy signal figure that the detector of certain coking state collects.
Fig. 5 is unit real the power signal figure corresponding with Fig. 4.
Fig. 6 is the radiant energy signal figure that the detector of certain dust stratification state collects.
Fig. 7 is unit real the power signal figure corresponding with Fig. 5.
Fig. 8 is for revising previous irradiation energy signal graph.
To be that before the correction corresponding with Fig. 8, unit is real send out power diagram to Fig. 9.
Figure 10 is for revising rear radiant energy signal figure.
To be that after the correction corresponding with Figure 10, unit is real send out power diagram to Figure 11.
Detailed description of the invention
With reference now to accompanying drawing, describe implementation process of the present invention, the radiation energy signal static deviation modification method of required stove combustion energy level under the invention provides a kind of accurate reflection fossil-fired unit different load, its flow process as shown in Figure 1, the steps include:
First drive SDK2000 video frequency collection card to complete the collection of flame image, extract each pixel RGB colouring information.Then utilize R value size to judge detector coking state, utilize relative coefficient to judge detector dust stratification state, invalid detector signal is rejected, adds up effective detector number and numbering, extract the radiant energy signal of effective detector and do ratio correction.Finally be averaged post filtering to the radiant energy signal of all effective detectors to export.As Figure 2-3, the radiant energy signal collected for certain detector normally worked and the real power signal graph of a relation of unit, abscissa is the time, and ordinate is respectively radiant energy data and sends out power data in fact.
1, the coking state of detector is judged
The principle that detector coking judges judges whether detector is subject to blocking of coking according to the R value size of monitor area in image.The process of detector installation region coking is by the middle of four circumferences, therefore the process that image is blocked also is blackening in the middle of the first blackening then in corner, based on the besel that this zonule selecting 10*10 in the middle part of every width detector image is each detector, the number of adding up the inner available point of this besel is designated as CountPixel, to the validity of pixel according to formula:
ForeachR(1,100)>R
TH(1)
Judge.As long as the inner available point number of besel is greater than threshold values C
tH(i.e. CountPixel>C
tH) time, then according to formula:
R
ar=∑R(1,CountPixel)/CountPixel，
G
ar=∑G(1,CountPixel)/CountPixel，
B
ar=∑B(1,CountPixel)/CountPixel(2)
And formula:
G=0.3*R
ar+0.59*G
ar+0.11*B
ar(3)
Calculate rgb value corresponding to this detector and radiant energy, otherwise this detector is set to invalid.The status signal Eflag of effective detector is set to 1, and the status signal Eflag of ineffective detection device is set to 0, adds up the number of all effective detectors with Enumber.
In formula (1), Foreach represents and travels through 100 pixels, and R represents that traversal target is the R value of pixel, R
tHrepresent the effective threshold values of pixel R value, by the analysis to historical data and the consideration to the power of the assembling unit, get R here
tH=70.
In formula (3), G represents the radiant energy signal that detector gathers.R
ar, G
ar, B
arthe color value of representative image.Empirical tests, adopt the radiant energy signal of this formulae discovery can reflect combustion intensity in furnace cavity in real time, compare traditional radiant energy signal computational methods, the method calculates simple, and reliability is higher.
As illustrated in figures 4-5, then the radiant energy signal that the detector propping up coking state for certain collects and the real power signal graph of a relation of unit, abscissa is the time, and ordinate is respectively radiant energy data and a real power data.Be detector coking state shown in mark 101.The inner available point number of its besel is less than threshold values, and it is invalid that this detector is set to, and after detector coking, radiant energy signal reduces rapidly, and after coke button drops, radiant energy signal recovers normal.
2, the dust stratification state of detector is judged
The foundation that detector dust stratification judges judges whether detector is subject to blocking of dust according to radiant energy signal and the real relative coefficient D sent out between power signal of unit.When detector normally works, its radiant energy signal gathered and the real relative coefficient sent out between power signal of unit are generally greater than 0.75(and obtain according to historical data analysis), as shown in Figure 2; When detector camera lens dust stratification, its radiant energy signal gathered reduces gradually, and variation tendency and power signal start to occur difference, and both relative coefficients reduce gradually, and the relative coefficient D calculated when certain detector is less than threshold values D
tHtime, it is invalid that this detector is set to.
Relative coefficient calculate in access time length be 1 hour, namely to the current time point service data of first 1 hour according to formula:
ForeachEflag(1,T)=1CountHourGray++(4)
Screen.In formula (4), Eflag is the status signal of each detector, and when detector's status signal is effective, this data point is effective, and enter and revise data queue, effective status point number CountHourGray adds 1.T is the time scale revising queue, T is taken as 3600s here.After having screened, return total number CountHourGray of significant instant point in this 3600s, and record each significant instant point corresponding power signal P and radiant energy signal G.After having screened, according to formula:
P
ar=∑P(1,CountHourGray)/CountHourGray
G
ar=∑G(1,CountHourGray)/CountHourGray(5)
Calculate the power average value P in 1 hour
arwith radiant energy signal mean value G
ar.
The computing formula of relative coefficient is:
D=∑{(P-P
ar)*(G-G
ar)}/{[∑(P-P
ar)
2]
0.5*[∑(G-G
ar)
2]
0.5}(6)
, think there is strong correlation when the absolute value of coefficient correlation is generally more than 0.8, can think between 0.3 to 0.8 has weak correlation, and less than 0.3 thinks do not have correlation, therefore D
tHvalue 0.3.
As shown in fig. 6-7, the radiant energy signal that the detector for certain dust stratification state collects and the real power signal graph of a relation of unit, abscissa is the time, and ordinate is respectively radiant energy data and a real power data.Be detector dust stratification state shown in mark 102.After detector dust stratification, there is deviation in radiant energy signal and normal value, and the relative coefficient of detector gained is as calculated less than threshold values, and it is invalid that this detector is set to.
3, detector ratio correction
Because unit generation power signal and radiant energy signal have very strong correlation, utilize power signal to calculate the quiescent value of radiant energy signal, corresponding relation is: the radiant energy quiescent value of the corresponding 0-200 of generated output of 0-600.Dynamic radiation energy modifying factor P computing formula:
P=(P
ar/3.0)/G
ar(7)。
4, radiant energy signal exports
After completing the correction to each detector, the radiant energy signal of all effective detectors is averaged, uses formula:
G
out=∑G(1,Enumber)/Enumber(8)
Calculate.In formula (8), Enumber is the number of effective detector.G
outfor output radiation energy signal.
Because the pulsating nature of flame is very strong, radiant energy data fluctuations is very large, and do weights filtering to output radiation energy signal further, 8 data of getting before current state point 8s make weighted average, uses formula:
G
out,LP=∑G
out*W
out(1,T
g)/∑W
out(1,Tg)(9)
Calculate.In formula (9), G
out, LPfor output radiation energy signal after filtering, W
outfor each moment weights, T
gfor filtering time, be taken as 8s here, weighed combination is taken as { 1,2,3,4,5,6,7,8}.As Figure 8-9, for revising previous irradiation energy signal and the real contrast effect figure sending out power signal of unit; As shown in figs. 10-11, for revising rear radiant energy signal and the real contrast effect figure sending out power signal of unit.Abscissa is the time, and Fig. 8,10 ordinates are for revising front and back radiant energy data, and Fig. 9,11 ordinates are a power data real before and after correction.After revising, the static deviation that radiant energy signal exists is improved, and makeover process does not change the variability of radiant energy signal reflection stove combustion state.
Claims (1)
1. revise a method for radiation energy signal static deviation, it is characterized in that, comprise the steps:
S100. the video frequency collection card of detector is driven to complete the collection of flame image and extract each pixel RGB colouring information;
S200. utilize valid pixel in above-mentioned image to count out and judge detector coking state, be specially: first selected above-mentioned detector image central region is as besel, secondly the inner effective pixel points number of the described besel of statistics, wherein effective pixel points refers to that R value is greater than the pixel of effective threshold values, then, described effective pixel points number and reservation threshold are made comparisons, the detector corresponding to image reaching described reservation threshold is set to effective detector;
S300. utilize the real relative coefficient sent out between power signal of radiant energy signal and unit to judge detector dust stratification state, when namely the relative coefficient of detector gained is as calculated less than reservation threshold, it is set to invalid, and wherein relative coefficient D computing formula is as follows:
D＝∑{(P-P
ar)*(G-G
ar)}/{[∑(P-P
ar)2]0.5*[∑(G-G
ar)2]0.5}
In formula, P is the real power signal of unit, and G is the radiant energy signal that detector gathers, P
arand G
arbe respectively unit real power average value and the radiant energy signal mean value in one hour;
S400. effective detector number and numbering is added up, extract the radiant energy signal of effective detector and do ratio correction, wherein scale factor is obtained divided by the effective radiant energy data in previous hour of current time by the real quiescent value sending out the described radiant energy signal that power signal calculates of described unit;
S500. be averaged post filtering to the radiant energy signal of all effective detectors to export.
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| CN104896506B (en) * | 2015-05-27 | 2017-04-19 | 清华大学 | Building method for combustion energy radiant energy signal in coal-fired thermal power generating unit boiler |
| CN106053309A (en) * | 2016-07-08 | 2016-10-26 | 上汽大众汽车有限公司 | PM 2.5 (particulate matter 2.5) sensor and automatic calibration method thereof |
| CN113776688B (en) * | 2021-08-20 | 2023-01-06 | 浙江大学 | Three-dimensional temperature measuring method of garbage incinerator based on acoustic and flame radiation images |
| CN116776266B (en) * | 2023-06-07 | 2024-03-22 | 郑州银丰电子科技有限公司 | Multi-target measurement and control based data processing system and method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5774176A (en) * | 1995-01-13 | 1998-06-30 | Applied Synergistics, Inc. | Unburned carbon and other combustibles monitor |
| CN101833838A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Large-range fire disaster analyzing and early warning system |
| CN102743830A (en) * | 2012-07-10 | 2012-10-24 | 西安交通大学 | Automatic electric switch cabinet fire extinguishing system and fire recognition method |
-
2013
- 2013-07-18 CN CN201310301791.7A patent/CN103423763B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5774176A (en) * | 1995-01-13 | 1998-06-30 | Applied Synergistics, Inc. | Unburned carbon and other combustibles monitor |
| CN101833838A (en) * | 2010-05-27 | 2010-09-15 | 王巍 | Large-range fire disaster analyzing and early warning system |
| CN102743830A (en) * | 2012-07-10 | 2012-10-24 | 西安交通大学 | Automatic electric switch cabinet fire extinguishing system and fire recognition method |
Non-Patent Citations (4)
| Title |
|---|
| "一种多层辐射能信号融合处理的新算法";杨超，周怀春;《动力工程》;20080229;第28卷(第1期);54-57,75 * |
| "一种煤粉燃烧火焰辐射成像新模型";娄春，韩曙东，刘浩，周怀春;《工程物理学报》;20020630;第23卷;93-96 * |
| "多层辐射能信号检测在燃烧诊断中的应用研究";杨超，周怀春，罗自学，张辉，万新福，关玉龙;《中国电力》;《中国电力》;20071130;第40卷(第11期);62-66 * |
| "结焦图像的处理与识别方法研究";牛连强，陈彦军，刘守仁，任义;《计算机工程与设计》;20050630;第26卷(第6期);1494-1499 * |
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