CN105183935A - Evaluation method for flame burning condition and stability - Google Patents
Evaluation method for flame burning condition and stability Download PDFInfo
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- CN105183935A CN105183935A CN201510422423.7A CN201510422423A CN105183935A CN 105183935 A CN105183935 A CN 105183935A CN 201510422423 A CN201510422423 A CN 201510422423A CN 105183935 A CN105183935 A CN 105183935A
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Abstract
The invention provides an evaluation method for flame burning condition and stability, belonging to the technical field of energy and environment. According to the evaluation method, flame burning images are acquired, brightness feature matrixes Rij, Gij and Bij of three colors of red, green and blue are obtained; one color is selected as an evaluation color, and an evaluation standard optimum threshold Tk of an area, in which the flame is, is determined; each pixel in the brightness feature matrixes and the threshold Tk are compared so as to obtain the flame burning condition; and flame burning images of continuous working condition are acquired, an M value of each image is computed, and the flame burning condition is evaluated according to a mean value as shown in the description. The method provides quantification standards for the flame burning condition and stability and can give an accurate and objective evaluation, and can offer certain guidance for analysis and optimization of the flame burning process. The method is simple to operate, can obtain an accurate result, is fast, has high repeatability, and is less interfered.
Description
Technical field
The present invention relates to the evaluation method of a kind of flame combustion situation and stability, belong to energy and environment technical field.
Background technology
China is coal production maximum in the world and country of consumption, and thermal power generation unit carries the important task of China's electrical production always, therefore the load variations of unit and firing optimization change are frequently.Add the problems such as China's fired power generating unit burning coal complexity and equipment failure, often combustion flame situation off-target operating mode is caused, the flame of stable and uniform in burner hearth and strong burning fully can not be ensured, the decline of flameholding performance not only can cause boiler thermal output to reduce, and produce more pollutant and noise, may stove chamber fire-extinguishing be caused in extreme circumstances, even bring out furnace explosion.The good and bad overall effect of flameholding performance is to the economy of boiler, the feature of environmental protection and security, and this just makes the stability passing judgment on combustion system of crucial importance.It is for referencial use for real time execution that effective flame combustion stability passes judgment on the history operating mode that operations staff can be instructed to seek unit the most stable, improves the combination property of unit each side.
Summary of the invention
The object of this invention is to provide the evaluation method of a kind of flame combustion situation and stability, quantitative criteria is proposed to flame situation and stability and can accurately, objectively evaluate, certain guidance can be provided for the optimum of flame combustion process, the method is easy and simple to handle, result is accurate, speed is fast, repeatability is high, institute be disturbed little.
The evaluation method of flame combustion situation of the present invention and stability, body comprises the following steps:
(1) obtain the image of flame combustion, intercept evaluation region of wanting;
(2) the picture importing Matlab software after process is obtained the brightness matrix R about red, green, blue three kinds of colors
ij, G
ij, B
ij;
(3) in red, green, blue three look, choose a kind of color as evaluation look, use the method for iteration to determine the best threshold values T of the evaluation criterion of flame region
k;
(4) by each pixel and threshold values T in the brightness matrix of selected color
kcompare, work as R
ij, G
ijor B
ij
Be more than or equal to T
kshi Ze thinks that this pixel region exists flame, works as R
ij, G
ijor B
ijbe less than T
kshi Ze thinks that this pixel region is without flame, obtains flame combustion situation, i.e. M=P by flame region number of pixels and the ratio of the total number of pixels of institute's survey region
fire/ P
total;
(5) obtain the flame combustion image of continuous duty and calculate the M value of each picture, by its mean value
evaluate flame combustion situation, calculate it evaluates flame stability than variance V (M).
Brightness matrix R of the present invention
ij, G
ij, B
ijthe matrix be made up of the numerical value of 0-255, its numerical value increases with brightness and increases.
Best threshold values T of the present invention
kbe use the method for iteration to determine, process of iteration is based on the mode of the thought of approaching by threshold values iteration, and utilize program automatically to calculate best partition threshold, for redness, the computing method of other colors are identical with redness, specifically comprise the following steps:
(1) obtain the red component maximal value in image and minimum value, be designated as R respectively
maxand R
min, then Initial Hurdle is:
(2) according to threshold values T
0be target and background by Iamge Segmentation, obtain both red component mean value R respectively
1and R
2.
(3) select new threshold values to continue iteration, new threshold values is:
(4) if T
k=T
k+1, then gained is best threshold values; Otherwise continuation iterative computation.
The present invention by cut-away view as ensureing in every pictures that shown evaluation region position and size be.
Mean value described in step of the present invention (5)
, stability
, wherein D
mfor the variance of M.
The image of flame combustion of the present invention is obtained by the shooting of common CCD camera, and the camera lens front of camera adds one group of optical filter for preventing the color saturation of image of shooting too high.
Owing to have employed technique scheme, the present invention has following advantage:
(1) evaluation problem of its combustion position of quantification in flame combustion process and stability is solved by this evaluation method.
(2) accurately, objectively can be evaluated by this evaluation method, certain guidance can be provided for the optimum of flame combustion process.
(3) this evaluation method is easy and simple to handle, result is accurate, speed is fast, repeatability is high, institute is disturbed little.
Accompanying drawing explanation
Fig. 1 is the inventive method process flow diagram;
Fig. 2 is by flame combustion image and extracted red luma eigenmatrix.
Embodiment
Below in conjunction with drawings and Examples, the present invention is further elaborated, but protection scope of the present invention is not limited to described content.
Embodiment 1
The evaluation method of flame combustion situation described in the present embodiment and stability, for redness, specifically comprises the following steps:
Step 1) obtain the image of flame combustion;
Step 2) to Fig. 2 process, intercept evaluation region of wanting;
Step 3) the picture importing Matlab software after process is obtained the brightness matrix R about redness
ij;
Step 4) choose redness as evaluate color, use the method for iteration to determine to split the best threshold values T of flame region
k=215;
Step 5) by each pixel and threshold values T in the brightness matrix of selected color
kcompare, work as R
ij>=T
kshi Ze thinks that this pixel region exists flame, works as R
ij<T
kshi Ze thinks that this pixel region is without flame, and obtaining flame pixels number is P
fire=93829, total number of pixels is P
total=192500.Flame combustion situation is obtained, i.e. M=P by flame region number of pixels and the ratio of the total number of pixels of institute's survey region
fire/ P
total=0.487;
Step 6) for said method, obtain the flame combustion image of continuous duty and calculate the M value of each picture, by its mean value
=0.419 is used for evaluating flame combustion situation, calculates it is used for evaluating flame stability than variance V (M)=0.0278.
Step 4) the middle process of iteration calculating best threshold values, based on the mode of the thought of approaching by threshold values iteration, utilize program automatically to calculate best partition threshold, its main algorithm is as follows:
(1) obtain the red component maximal value in image and minimum value, be designated as R respectively
max=255 and R
min=126, then Initial Hurdle is:
(2) according to threshold values T
0be target and background by Iamge Segmentation, obtain both red component mean value R respectively
1and R
2.
(3) select new threshold values to continue iteration, new threshold values is:
(4) if T
k=T
k+1, then gained is best threshold values; Otherwise continuation iterative computation.
Embodiment 2
The evaluation method of flame combustion situation described in the present embodiment and stability, for green, specifically comprises the following steps:
Step 1) obtain the image of flame combustion;
Step 2) image is processed, intercept evaluation region of wanting;
Step 3) the picture importing Matlab software after process is obtained the brightness matrix G about green
ij;
Step 4) choose green as evaluate color, use the method for iteration to determine to split the best threshold values T of flame region
k=180;
Step 5) by each pixel and threshold values T in the brightness matrix of selected color
kcompare, work as G
ij>=T
kshi Ze thinks that this pixel region exists flame, works as G
ij<T
kshi Ze thinks that this pixel region is without flame, and obtaining flame pixels number is P
fire=95963, total number of pixels is P
total=192500.Flame combustion situation is obtained, i.e. M=P by flame region number of pixels and the ratio of the total number of pixels of institute's survey region
fire/ P
total=0.498;
Step 6) for said method, obtain the flame combustion image of continuous duty and calculate the M value of each picture, by its mean value
=0.428 is used for evaluating flame combustion situation, calculates it is used for evaluating flame stability than variance V (M)=0.0284.
Step 4) the middle process of iteration calculating best threshold values, based on the mode of the thought of approaching by threshold values iteration, utilize program automatically to calculate best partition threshold, its main algorithm is as follows:
(1) obtain the green component maximal value in image and minimum value, be designated as G respectively
max=255 and G
min=120, then Initial Hurdle is:
(2) according to threshold values T
0be target and background by Iamge Segmentation, obtain both green component mean value G respectively
1and G
2.
(3) select new threshold values to continue iteration, new threshold values is:
(4) if T
k=T
k+1, then gained is best threshold values; Otherwise continuation iterative computation.
Claims (4)
1. an evaluation method for flame combustion situation and stability, is characterized in that, specifically comprises the following steps:
(1) obtain the image of flame combustion, intercept evaluation region of wanting;
(2) the picture importing Matlab software after process is obtained the brightness matrix R about red, green, blue three kinds of colors
ij, G
ij, B
ij;
(3) in red, green, blue three look, choose a kind of color as evaluation look, use the method for iteration to determine the best threshold values T of the evaluation criterion of flame region
k;
(4) by each pixel and threshold values T in the brightness matrix of selected color
kcompare, work as R
ij, G
ijor B
ij
Be more than or equal to T
kshi Ze thinks that this pixel region exists flame, works as R
ij, G
ijor B
ijbe less than T
kshi Ze thinks that this pixel region is without flame, obtains flame combustion situation, i.e. M=P by flame region number of pixels and the ratio of the total number of pixels of institute's survey region
fire/ P
total;
(5) obtain the flame combustion image of continuous duty and calculate the M value of each picture, by its mean value
evaluate flame combustion situation, calculate it evaluates flame stability than variance V (M).
2. the evaluation method of flame combustion situation and stability according to claim 1, is characterized in that: brightness matrix R
ij, G
ij, B
ijthe matrix be made up of the numerical value of 0-255, its numerical value increases with brightness and increases.
3. the evaluation method of flame combustion situation and stability according to claim 1, is characterized in that: step (3) uses the method for iteration to determine the best threshold values T of the evaluation criterion of flame region
k, for redness, the computing method of other colors are identical with redness, specifically comprise the following steps:
(1) obtain the selected color component maximal value in image and minimum value, be designated as R respectively
maxand R
min, then Initial Hurdle is:
(2) according to threshold values T
0be target and background by Iamge Segmentation, obtain both red component mean value R respectively
1and R
2
(3) select new threshold values to continue iteration, new threshold values is:
(4) if T
k=T
k+1, then gained is best threshold values; Otherwise continuation iterative computation.
4. the evaluation method of flame combustion situation and stability according to claim 1, is characterized in that: the mean value described in step (5)
, stability
, wherein D
mfor the variance of M.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105912872A (en) * | 2016-04-27 | 2016-08-31 | 华北电力大学 | Measurement method of coal dust and in-furnace heat flow mixing effect on the basis of combustion image |
| CN106778816A (en) * | 2016-11-23 | 2017-05-31 | 华北电力大学 | Combustion stability method of discrimination based on burning mixed coefficint and fuzzy diagnosis |
| CN107270284A (en) * | 2017-06-19 | 2017-10-20 | 昆明理工大学 | A kind of eddy flow chaos burner and its application process |
| CN108154152A (en) * | 2017-12-15 | 2018-06-12 | 中国大唐集团科学技术研究院有限公司火力发电技术研究所 | A kind of flame temp measuring method |
| CN108334855A (en) * | 2018-02-24 | 2018-07-27 | 南瑞集团有限公司 | A kind of substation's flame identification algorithm using enhancing RGB component feature |
| CN110222633A (en) * | 2019-06-04 | 2019-09-10 | 北京工业大学 | City solid waste burning process combusts operating mode's switch method based on flame image color feature extracted |
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| CN101750152A (en) * | 2009-12-17 | 2010-06-23 | 昆明理工大学 | Method for representing and diagnosing combustion instability |
| CN101764922A (en) * | 2009-08-03 | 2010-06-30 | 北京智安邦科技有限公司 | Method and device for adaptive generation of luminance threshold |
| CN103077394A (en) * | 2012-12-31 | 2013-05-01 | 天津大学 | Method for automatically monitoring flame combustion stability |
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2015
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Patent Citations (4)
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| US6079396A (en) * | 1998-04-29 | 2000-06-27 | General Motors Corporation | Automotive cold start fuel volatility compensation |
| CN101764922A (en) * | 2009-08-03 | 2010-06-30 | 北京智安邦科技有限公司 | Method and device for adaptive generation of luminance threshold |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105912872A (en) * | 2016-04-27 | 2016-08-31 | 华北电力大学 | Measurement method of coal dust and in-furnace heat flow mixing effect on the basis of combustion image |
| CN105912872B (en) * | 2016-04-27 | 2018-06-22 | 华北电力大学 | Hot-fluid mixed effect measure in a kind of coal dust and stove based on burning image |
| CN106778816A (en) * | 2016-11-23 | 2017-05-31 | 华北电力大学 | Combustion stability method of discrimination based on burning mixed coefficint and fuzzy diagnosis |
| CN107270284A (en) * | 2017-06-19 | 2017-10-20 | 昆明理工大学 | A kind of eddy flow chaos burner and its application process |
| CN108154152A (en) * | 2017-12-15 | 2018-06-12 | 中国大唐集团科学技术研究院有限公司火力发电技术研究所 | A kind of flame temp measuring method |
| CN108154152B (en) * | 2017-12-15 | 2021-03-23 | 中国大唐集团科学技术研究院有限公司火力发电技术研究所 | Flame temperature measuring method |
| CN108334855A (en) * | 2018-02-24 | 2018-07-27 | 南瑞集团有限公司 | A kind of substation's flame identification algorithm using enhancing RGB component feature |
| CN110222633A (en) * | 2019-06-04 | 2019-09-10 | 北京工业大学 | City solid waste burning process combusts operating mode's switch method based on flame image color feature extracted |
| CN110222633B (en) * | 2019-06-04 | 2021-04-27 | 北京工业大学 | Method for identifying combustion condition of urban solid waste incineration process based on flame image color feature extraction |
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