CN101339072A - Flame status checking method - Google Patents
Flame status checking method Download PDFInfo
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- CN101339072A CN101339072A CNA2008101505879A CN200810150587A CN101339072A CN 101339072 A CN101339072 A CN 101339072A CN A2008101505879 A CNA2008101505879 A CN A2008101505879A CN 200810150587 A CN200810150587 A CN 200810150587A CN 101339072 A CN101339072 A CN 101339072A
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Abstract
The invention discloses a detection method of flame status, which is especially suitable for detecting and analyzing the status of internal flame in a boiler. The method comprises the following steps: the step of electrooptical signal conversion, the step of signal pretreatment, and the step of relevant time series signal analysis. In the detection method, the signals of flame intensity and the signals of flame flicker frequency are respectively amplified in the process of signal pretreatment, so as to effectively identify the signals of the flame intensity and the signals of the flame flicker frequency, and to eliminate the distortion of the signals of the flame flicker frequency; the combustion process is used for collecting the relevant analysis on the data signals, so as to calculate the relevancy coefficient of the signals of the flame intensity between adjacent intervals and the relevancy coefficient of the signals of the flame flicker frequency between adjacent intervals, and to effectively solve the ''peeping'' problem between different burning points and different layers of burners.
Description
Affiliated field
The present invention relates to a kind of flame status checking method, be specially adapted to the detection and the analysis of boiler internal combustion flame status, solve " stealing a glance at " difficult problem that exists in the boiler combustion flame status testing process.
Prior art
Flare up fire during the boiler fuel combustion comprises flame intensity and flame flicking frequency, and correspondingly the detection method of flame status comprises intensity threshold methods and frequency threshold method in the boiler.According to theoretical analysis and experimental verification, the flame flicking frequency is relevant with the kind of fuel, flame flicking frequency when detecting fuel combustion and corresponding flame intensity thereof, compare with rule of thumb selected in advance flame intensity threshold value and flame flicking frequency threshold, carry out the judgement of flame combustion situation in view of the above.
Because flame flicking frequency difference during different types of fuel combustion, flame intensity under every kind of flame flicking frequency is also different, thereby the flame status when accurately detecting fuel combustion is not easy very much, especially exist in the large-sized boiler system of a plurality of burners, owing to multilayer flame is arranged in burning, with in the layer a plurality of flare points being arranged again.When detected main burner was put out a fire, testing result still reflected the flame status of adjacent burner, and " stealing a glance at " phenomenon takes place, and caused the hidden danger of boiler safety protection system.
Simultaneously, the flame intensity size is by the direct current signal composition in flare up fire reflection, and AC signal reflects the flame flicking frequency, in the actual detected process, above-mentioned direct current signal with exchange live signal and often differ two orders of magnitude.
When adopting above-mentioned flame flicking frequency threshold and flame intensity threshold value to carry out the detection of identification that flame has or not and flame status, have following problem: (1) is difficult to the main flame of burner and background flame, and the flare up fire that derives from adjacent flare point is effectively distinguished, when the main burner fray-out of flame, because the interference of adjacent flare point or different layers burner flame signal, be easy to take place " stealing a glance at " phenomenon, cause false judgment, thereby cause the misoperation of control system the main burner flame status; (2) because the AC signal of the direct current signal of reflection flame intensity and reflection flame flicking frequency differs two orders of magnitude, the Signal Pre-Processing Method that does not add differentiation often makes and the AC signal distortion causes the judgement of flame flicking frequency inaccurate.
Summary of the invention
Goal of the invention
The objective of the invention is to solve the following problem that exists in the present flare up fire detection, realization is to the accurate judgement of flame status in the combustion process: (1) solves " stealing a glance at " difficult problem between different flare points and the different layers burner by the analysis to the combustion process data acquisition signal; (2) method that adopts AC signal and direct current signal to handle respectively, the distortion phenomenon of elimination flame flicking frequency.
Technical scheme
The combustion flame condition detection method that the present invention proposes comprises the steps:
Step 1: photosignal switch process: use photoelectric sensor to convert the combustion flame light signal to corresponding combustion flame analog signals I
0
Step 2: the Signal Pretreatment step comprises following substep:
2.1 to combustion flame analog signals I
0Carry out signal amplification, signal filtering processing, obtain handling back signal I
1
2.2 from signal I
1In isolate the AC signal I that represents the flame flicking frequency
aWith the direct current signal I that represents flame intensity
b
2.3 to representing the AC signal I of flame flicking frequency
aWith the direct current signal I that represents flame intensity
bCarry out the computing processing and amplifying respectively, obtain respective signal I after the computing processing and amplifying
AAnd I
B, make I
AAnd I
BValue in identical order of magnitude scope;
2.4 with I
BConvert digital signal to, the line data collection of going forward side by side: obtain time series flame intensity signal discrete value X
I, j, i=1,2, L, N express time sequence number, j=1,2, L, M represent j data in the i sequence data group;
2.5 with I
AConvert digital signal to, the line data collection of going forward side by side obtains uniformly-spaced continuous sampling value I
kGet I
kIn limited long-time in uniformly-spaced continuous sampling value I
k, k=1,2, L, l, l carry out the data number that frequency spectrum calculates, and carry out spectrum analysis and obtain time series flame flicking frequency signal Y
I, j
Step 3: time series signal correlation analysis step comprises following substep:
3.1 calculate flame intensity signal X respectively
I, jWith flame flicking frequency signal Y
I, jThe time series related coefficient;
Q
i，i+t＝f(X
i，X
i+t)，F
i，i+t＝f(Y
i，Y
i+t)
Wherein, Q
I, i+tAnd F
I, i+tRepresent flame intensity signal X respectively
I, jWith flame flicking frequency signal Y
I, jT the seasonal effect in time series related coefficient in interval, f represents relevance function; T=1,2, L, T represent sequence data group number at interval, the T value is determined according to the needs of flame-out time delay of boiler protection system;
3.2 the time series relative coefficient Q of continuous monitoring flame intensity signal
I, i+tChanging value Δ Q
t, and the time series related coefficient F of flame flicking frequency signal
I, i+tChanging value Δ F
t
ΔQ
t＝Q
i，i+t-Q
i，i+t-1，ΔF
t＝F
i，i+t-F
i，i+t-1
3.3 the time series related coefficient variation tendency according to two kinds of signals is judged flame status: if the related coefficient changing value Δ Q in the adjacent time interval
tWith Δ F
tLess than setting threshold, i.e. Δ Q
t＜Δ
QAnd Δ F
t＜Δ
F, and related coefficient Q
I, i+tAnd F
I, i+tGreater than setting threshold, i.e. Q
I, i+t＞Q
YAnd F
I, i+t＞F
Y, judge that then flame status is normal; Otherwise, judge that then flame status is unusual;
In the formula, Δ
Q-expression flame intensity signal correction index variation threshold value, Δ
F-expression flame flicking frequency signal related coefficient change threshold, related coefficient change threshold Δ
QAnd Δ
FRule of thumb and to the requirement of real-time guard system determine, between 0.25～0.10.Requirement to the real-time guard system is high more, Δ
QAnd Δ
FNumerical value should be more little.
Q
Y-expression flame intensity signal correction coefficient threshold value, F
Y-expression flame flicking frequency signal correlation coefficient threshold.Correlation coefficient threshold Q
YAnd F
YSecondary factors when determining flame status determines that value is suitable between 0.75～0.95 according to Theoretical Calculation and two kinds of signals.Usually serves as the principal element of judging flame status with the flame flicking frequency signal, make F
YValue is greater than Q
YValue.
Beneficial effect
The flame status checking method that the present invention proposes effect when judging the combustion position of boiler-burner is remarkable, has especially solved " stealing a glance at " problem between the adjacent burner.
In the Signal Pretreatment process of the present invention, because flame intensity signal and flame flicking frequency signal to burner carry out processing and amplifying respectively, can effectively identify the flame intensity signal and the flame flicking frequency signal that exist in the flare up fire, eliminate the distortion phenomenon of flame flicking frequency signal;
The present invention is by the correlation analysis to combustion process image data signal, calculate the relative coefficient of flame intensity signal in the adjacent time period, and the relative coefficient between the flame flicking frequency signal in the adjacent time period, efficiently solve " stealing a glance at " problem between different flare points and the different layers burner.
Embodiment:
The flame status checking method treatment scheme that present embodiment proposes comprises photosignal switch process, Signal Pretreatment step, time series signal correlation analysis step.In the present embodiment, the signal input step is converted to corresponding simulating amount signal by the visible light photoelectric sensor to the visible wavelength sensitivity with flare up fire; The Signal Pretreatment step is by hardware circuit and place the software program of single-chip microcomputer to finish; The signal correction analytical procedure is finished by the software program that places single-chip microcomputer.
The flame status checking method that present embodiment proposes specifically comprises the steps:
Step 1: photosignal switch process: photoelectric sensor converts the combustion flame light signal to corresponding combustion flame analog signals I
0
Step 1: the Signal Pretreatment step comprises following substep:
2.1 to combustion flame analog signals I
0Carry out signal amplification, signal filtering processing, obtain handling back signal I
1The voltage-controlled active power filtering amplifying circuit that filter amplification circuit is made up of operational amplifier is formed, and enlargement factor is 2.5 times, and the filtering cutoff frequency is 200Hz;
2.2 from signal I
1In isolate the AC signal I that represents the flame flicking frequency
aWith the direct current signal I that represents flame intensity
bFinish from signal I by the high-pass filtering circuit that operational amplifier is formed
1In isolate the AC signal I that represents the flame flicking frequency signal
a, the filtering circuit cutoff frequency is 5Hz, obtains representing the direct current signal I of flame intensity simultaneously
b
2.3 to representing the AC signal I of flame flicking frequency
aWith the direct current signal I that represents flame intensity
bCarry out the computing processing and amplifying respectively, obtain respective signal I after the computing processing and amplifying
AAnd I
B, make I
AAnd I
BValue in identical order of magnitude scope; The two-way operational amplifier amplifies flame intensity signal and flame flicking frequency signal respectively, and the flame intensity signal amplification factor is 0.5 times, and the AC signal amplification coefficient of representing the flame flicking frequency signal is 3.0;
2.4 with I
BConvert digital signal to, the line data collection of going forward side by side: obtain time series flame intensity signal discrete value X
I, jI=1,2, L, N express time sequence number, j=1,2, L, M represent j data in the i sequence data group.The AD converter precision is 12, and sample frequency is 1024Hz, and the data sampling number is 512 points;
2.5 with I
AConvert digital signal to, the line data collection of going forward side by side: obtain uniformly-spaced continuous sampling value I
kGet I
kIn limited long-time in uniformly-spaced continuous sampling value I
k, k=1,2, L, l, l carry out the data number that frequency spectrum calculates, and carry out spectrum analysis and obtain time series flame flicking frequency signal Y
I, jEqually, the AD converter precision is 12, and sample frequency is 1024Hz, and the data sampling number is 512 points.
Step 3: time series signal correlation analysis step comprises following substep:
3.1 calculate flame intensity signal X respectively
I, jWith flame flicking frequency signal Y
I, jThe time series related coefficient:
Q
i，i+t＝f(X
i，X
i+t)，F
i，i+t＝f(Y
i，Y
i+t)
Wherein, Q
I, i+tAnd F
I, i+tRepresent flame intensity signal and flame flicking frequency signal t seasonal effect in time series relative coefficient at interval respectively, f represents relevance function.T=1,2, L, T represent sequence data group number at interval, the T value is determined according to the needs of flame-out time delay of boiler protection system.In the present embodiment, be 3 seconds flame-out time delay, and sample frequency is 1024Hz, and the data sampling number is 512 points, and t value maximum demand calculates 6 numerical value, and promptly the T value is 6;
3.2 the time series relative coefficient Q of continuous monitoring flame intensity signal
I, i+tChanging value Δ Q
t, and the time series related coefficient F of flame flicking frequency signal
I, i+tChanging value Δ F
t
ΔQ
t＝Q
i，i+t-Q
i，i+t-1，ΔF
t＝F
i，i+t-F
i，i+t-1
3.3 the time series related coefficient variation tendency according to two kinds of signals is judged flame status:
If the related coefficient changing value Δ Q in the adjacent time interval
tWith Δ F
tLess than setting threshold, and related coefficient Q
I, i+tAnd F
I, i+tGreater than setting threshold, judge that then flame status is normal; Otherwise, judge that then flame status is unusual.
If i.e. Δ Q
t＜Δ
Q, Δ F
t＜Δ
F, and Q
I, i+t＞Q
Y, F
I, i+t＞F
Y, judge that then flame status is normal, otherwise be that flame status is unusual.At this, flame intensity signal correction index variation threshold value Δ
Q=0.20, flame flicking frequency signal related coefficient change threshold Δ
F=0.12, flame intensity signal correction coefficient threshold value Q
Y=0.80, flame flicking frequency signal correlation coefficient threshold F
Y=0.85.
Claims (3)
1. combustion flame condition detection method is characterized in that may further comprise the steps:
Step 1: photosignal switch process: use photoelectric sensor to convert the combustion flame light signal to corresponding combustion flame analog signals I
0
Step 2: the Signal Pretreatment step comprises following substep:
2.1 to combustion flame analog signals I
0Carry out signal amplification, signal filtering processing, obtain handling back signal I
1
2.2 from signal I
1In isolate the AC signal I that represents the flame flicking frequency
aWith the direct current signal I that represents flame intensity
b
2.3 to representing the AC signal I of flame flicking frequency
aWith the direct current signal I that represents flame intensity
bCarry out the computing processing and amplifying respectively, obtain respective signal I after the computing processing and amplifying
AAnd I
B, make I
AAnd I
BValue in identical order of magnitude scope;
2.4 with I
BConvert digital signal to, the line data collection of going forward side by side: obtain time series flame intensity signal discrete value X
I, j, i=1,2, L, N express time sequence number, j=1,2, L, M represent j data in the i sequence data group;
2.5 with I
AConvert digital signal to, the line data collection of going forward side by side obtains uniformly-spaced continuous sampling value I
kGet I
kIn limited long-time in uniformly-spaced continuous sampling value I
k, k=1,2, L, l, l carry out the data number that frequency spectrum calculates, and carry out spectrum analysis and obtain time series flame flicking frequency signal Y
I, j
Step 3: time series signal correlation analysis step comprises following substep:
3.1 calculate flame intensity signal X respectively
I, jWith flame flicking frequency signal Y
I, jThe time series related coefficient;
Q
i，i+t＝f(X
i，X
i+t)，F
i，i+t＝f(Y
i，Y
i+t)
Wherein, Q
I, i+tAnd F
I, i+tRepresent flame intensity signal X respectively
I, jWith flame flicking frequency signal Y
I, jT the seasonal effect in time series related coefficient in interval, f represents relevance function; T=1,2, L, T represent sequence data group number at interval, the T value is determined according to the needs of flame-out time delay of boiler protection system;
3.2 the time series relative coefficient Q of continuous monitoring flame intensity signal
I, i+tChanging value Δ Q
t, and the time series related coefficient F of flame flicking frequency signal
I, i+tChanging value Δ F
t
ΔQ
t＝Q
i，i+t-Q
i，i+t-1，ΔF
t＝F
i，i+t-F
i，i+t-1
3.3 the time series related coefficient variation tendency according to two kinds of signals is judged flame status: if the related coefficient changing value Δ Q in the adjacent time interval
tWith Δ F
tLess than setting threshold, i.e. Δ Q
t＜Δ
QAnd Δ F
t＜Δ
F, and related coefficient Q
I, i+tAnd F
I, i+tGreater than setting threshold, i.e. Q
I, i+t＞Q
YAnd F
I, i+t＞F
y, judge that then flame status is normal; Otherwise, judge that then flame status is unusual;
In the formula, Δ
Q-expression flame intensity signal correction index variation threshold value, Δ
F-expression flame flicking frequency signal related coefficient change threshold, Q
Y-expression flame intensity signal correction coefficient threshold value, F
Y-expression flame flicking frequency signal correlation coefficient threshold.
2. combustion flame condition detection method as claimed in claim 1 is characterized in that: in the substep 3.3 of described step 3, and Δ
QAnd Δ
FSpan is 0.25～0.10, Q
YAnd F
YSpan is 0.75～0.95.
3. combustion flame condition detection method as claimed in claim 1 is characterized in that: in the substep 3.3 of described step 3, and F
YValue is greater than Q
YValue.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101505879A CN101339072A (en) | 2008-08-12 | 2008-08-12 | Flame status checking method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008101505879A CN101339072A (en) | 2008-08-12 | 2008-08-12 | Flame status checking method |
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| Publication Number | Publication Date |
|---|---|
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Family
ID=40213198
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|---|---|---|---|
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708353A (en) * | 2010-12-27 | 2012-10-03 | 财团法人工业技术研究院 | Flame determination method, flame determination system, and flame determination device |
| CN103148509A (en) * | 2013-04-01 | 2013-06-12 | 合肥丰华燃烧技术有限公司 | Method for improving thermal efficiency of industrial furnace kiln by virtue of detecting flame condition and regulating oxygen enrichment flow |
| CN110578941A (en) * | 2018-06-08 | 2019-12-17 | 宁波方太厨具有限公司 | Automatic control system of range hood and control method thereof |
| CN111141504A (en) * | 2019-12-25 | 2020-05-12 | Oppo（重庆）智能科技有限公司 | Fire-break detection method and device and computer readable storage medium |
-
2008
- 2008-08-12 CN CNA2008101505879A patent/CN101339072A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708353A (en) * | 2010-12-27 | 2012-10-03 | 财团法人工业技术研究院 | Flame determination method, flame determination system, and flame determination device |
| CN102708353B (en) * | 2010-12-27 | 2015-01-07 | 财团法人工业技术研究院 | Flame determination method, flame determination system, and flame determination device |
| CN103148509A (en) * | 2013-04-01 | 2013-06-12 | 合肥丰华燃烧技术有限公司 | Method for improving thermal efficiency of industrial furnace kiln by virtue of detecting flame condition and regulating oxygen enrichment flow |
| CN110578941A (en) * | 2018-06-08 | 2019-12-17 | 宁波方太厨具有限公司 | Automatic control system of range hood and control method thereof |
| CN111141504A (en) * | 2019-12-25 | 2020-05-12 | Oppo（重庆）智能科技有限公司 | Fire-break detection method and device and computer readable storage medium |
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Open date: 20090107 |