CN1566911A - Method for monitoring temperature of rotary kiln barrel through infrared scanning - Google Patents
Method for monitoring temperature of rotary kiln barrel through infrared scanning Download PDFInfo
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- CN1566911A CN1566911A CN 03146201 CN03146201A CN1566911A CN 1566911 A CN1566911 A CN 1566911A CN 03146201 CN03146201 CN 03146201 CN 03146201 A CN03146201 A CN 03146201A CN 1566911 A CN1566911 A CN 1566911A
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 238000005070 sampling Methods 0.000 claims description 20
- 230000011664 signaling Effects 0.000 claims description 15
- 238000005259 measurement Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 230000005855 radiation Effects 0.000 abstract description 2
- 238000009529 body temperature measurement Methods 0.000 abstract 1
- 238000001931 thermography Methods 0.000 abstract 1
- 239000011248 coating agent Substances 0.000 description 7
- 238000000576 coating method Methods 0.000 description 7
- 238000012360 testing method Methods 0.000 description 5
- 238000007792 addition Methods 0.000 description 3
- 239000011449 brick Substances 0.000 description 3
- 239000000428 dust Substances 0.000 description 3
- 238000007363 ring formation reaction Methods 0.000 description 3
- 210000003050 axon Anatomy 0.000 description 2
- 230000036760 body temperature Effects 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 230000001771 impaired effect Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 206010000372 Accident at work Diseases 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000001354 calcination Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000013021 overheating Methods 0.000 description 1
- TWNQGVIAIRXVLR-UHFFFAOYSA-N oxo(oxoalumanyloxy)alumane Chemical compound O=[Al]O[Al]=O TWNQGVIAIRXVLR-UHFFFAOYSA-N 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000004861 thermometry Methods 0.000 description 1
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Abstract
The invention discloses a method for monitoring the temperature of a rotary kiln barrel by infrared scanning, which monitors the surface temperature of the rotary kiln barrel by an infrared radiation temperature measurement principle, and generates an axial temperature distribution map, a two-position chromaticity expansion map, a circumferential temperature distribution map and a three-dimensional thermography of the barrel by the surface temperature of the rotary kiln barrel and corresponding position signals. The method can realize real-time monitoring of the temperature of the rotary kiln barrel, greatly reduce labor intensity and production accidents, improve the running rate, yield and quality of the kiln, and reduce production cost and unplanned kiln shutdown time.
Description
Technical field the present invention relates to a kind of method of temperature monitoring, a kind of monitoring method of utilizing infrared thermometry principle monitoring rotary kiln body temperature degree of saying so more specifically.
Background technology is in aluminum oxide production process, and most important process procedure is the calcining of grog, and rotary kiln is the core of this link, and in actual production, the cylindrical shell of rotary kiln often is subjected to local overheating and damages.In case the cylindrical shell part is impaired, will parking, discharging, maintenance, feed again, light a fire, drive, produce and be subjected to influence greatly.Each maintenance economic loss is more than 100,000 yuan.
Therefore, constantly detecting the drum surface temperature, adjust nozzle wind direction and burning condition in real time according to actual temperature, is very necessary to avoid cylindrical shell impaired.
In the past, kiln body temperature degree detects and is: carry out segmentation, branch test with hand-held detector before being timed to rotary kiln.Its labour intensity is big, and test surfaces is thick, and it is late to pinpoint the problems.
Summary of the invention the purpose of this invention is to provide a kind of method of infrared scan monitoring Kiln Shell Temperature, and this method is by infrared radiation temperature principle monitoring kiln cylinder body surface temperature.Can realize the real-time monitoring to Kiln Shell Temperature, greatly reduce labour intensity and industrial accident, the running rate of raising kiln and output, quality reduce production costs and unplanned stopping the kiln time.
The objective of the invention is to be achieved by following technical proposals.
The method of a kind of infrared scan monitoring of the present invention Kiln Shell Temperature may further comprise the steps:
1, a kind of method of infrared scan monitoring Kiln Shell Temperature is characterized in that may further comprise the steps:
(1), obtains rotary kiln surface temperature data by the infrared eye that is installed in kiln tube top in the axial scan mode, by being installed in the corresponding position signalling of position signalling generating apparatus acquisition temperature data of kiln tube;
(2), by the microcomputer system that is installed together with infrared eye temperature data and corresponding position signalling are converted into digital form;
(3), the temperature data and the corresponding position signalling that will be converted into after the digital form is sent to computer system;
(4), computer system carries out pre-service to the temperature data that receives, method is: use mean value method in the same sampling period, continuous sampling is repeatedly averaged; In the different sampling periods, adjacent temperature spot signal is carried out the continuous several times sampling, to its weighted mean;
(5), the temperature data after the computer system comprehensive pretreatment and corresponding position signalling, draw the temperature monitoring result.
In the described step (4) of method of the present invention, can average for 3 times in same sampling period continuous sampling; In the different sampling periods, adjacent temperature spot signal is carried out continuous 7 samplings, to its weighted mean.
In the described step (5) of method of the present invention, the temperature monitoring result that computer system draws can show with the form of chart.Galleries comprises axial temperature distribution plan, two colourity stretch-out views, circumferentially temperature profile, three-dimensional temperature profile.
In the described step (5) of method of the present invention, can carry out dynamic compensation to axial temperature, method is: take determinacy dynamic compensation algorithm according to the variation of scanning distance, at first determine the maximum compensation temperature and the maximum anglec of rotation of scanning, calculate penalty coefficient according to maximum compensation temperature and the maximum anglec of rotation of scanning and infrared eye to the vertical height of kiln surface then, according to vertical height and the penalty coefficient of specified point and the compensation temperature that the scanning anglec of rotation calculate this point of infrared eye, record the temperature value addition with infrared eye then and obtain axial temperature at last to the kiln surface.The axial temperature distribution plan that computer system draws is adopted is exactly temperature after the compensation.
In the described step (5) of method of the present invention, can carry out kiln local anomaly temperature forecast, method is: the temperature samples when working according to kiln is extracted mathematical feature and is determined kiln local anomaly temperature, and concrete steps are as follows:
(1), characteristic temperature point constitutes when getting the kiln operate as normal proper vector is the master sample vector, the online proper vector that records is the actual measurement sample vector;
(2), basis of calculation sample vector and the Euclidean distance of surveying sample vector;
(3), determine that with prior good cluster result criterion standard relatively, draws kiln local anomaly temperature forecast result.
Kiln local anomaly temperature forecast result can generate kiln duty prog chart by computer system.
Method of the present invention compared with prior art has the following advantages:
1, according to the infrared measurement of temperature principle, utilize infrared eye and computer system in conjunction with measuring the stove surface temperature, reaction is fast, and thermometric is accurate.
2, take determinacy dynamic compensation algorithm for axial temperature according to the variation of scanning distance, can reduce the influence of dust and steam, improve measuring accuracy.
3, adopt the smothing filtering algorithm can overcome the influence of dust and steam to measuring accuracy.
Embodiment is further described the present invention below in conjunction with embodiment:
An embodiment implementation step of the method for infrared scan monitoring Kiln Shell Temperature of the present invention and the function of this step are as follows:
(1), obtains rotary kiln surface temperature data by the infrared eye that is installed in kiln tube top in the axial scan mode, by being installed in the corresponding position signalling of position signalling generating apparatus acquisition temperature data of kiln tube;
(2), by the microcomputer system that is installed together with infrared eye temperature data and corresponding position signalling are converted into digital form;
(3), the temperature data and the corresponding position signalling that will be converted into after the digital form is sent to computer system;
(4), computer system carries out pre-service to the temperature data that receives, method is: use mean value method in the same sampling period, continuous sampling is averaged for 3 times; In the different sampling periods, adjacent temperature spot signal is carried out continuous 7 samplings, to its weighted mean.
Concrete formula is as follows:
T
1＝[Q
6·T(k-6)+Q
5T(k-5)+Q
4T(k-4)+Q
3T(k-3)+Q
2T(k-2)+Q
1T(k-1)+Q
0T(k)]/7
Wherein, Q
6, Q
5, Q
4, Q
3, Q
2, Q
1, Q
0Be weight coefficient, and Q
6+ Q
5+ Q
4+ Q
3+ Q
2+ Q
1+ Q
0=1, Q
6＜Q
5＜Q
4＜Q
3＜Q
2＜Q
1＜Q
0
The purpose of carrying out this step is in order to make monitoring result more accurate.Because in actual measurement, because the influence of dust and steam makes the temperature that at a time records be butted on actual temperature value, cause measuring inaccurate, for overcoming this phenomenon, will carry out pre-service to the temperature acquisition signal data.
(5), computer system generates two colourity stretch-out views of cylindrical shell, circumferential temperature profile, axial temperature distribution plan, three-dimensional temperature profile and kiln duty prog chart with pretreated temperature data and corresponding position signalling.
Wherein, " two-dimensional chromaticity stretch-out view " launched the kiln surface vertically, horizontal ordinate be the kiln axon to the section sequence number, ordinate is a circumferential position.In the two-dimensional chromaticity stretch-out view, can reflect each unit, kiln surface Temperature Distribution situation from low to high with change color.The two-dimensional chromaticity stretch-out view can intuitively show the temperature conditions of each unit, kiln surface, thereby reflect whether the degree of uniformity of kliner coating, kliner coating caking, ring formation occur, fall brick, important operation information such as hot spot, and can judge Position Approximate and the scope that caking, ring formation, accent brick, hot spot occur by this figure.
The axial temperature distribution plan with the kiln axon to a section face sequence number be horizontal ordinate, be ordinate with the temperature, show the temperature value of each circumferential section of kiln body in real time.The circumferential section of kiln body that can change generates the temperature curve of different sections.By the axial temperature distribution plan, the maximal value of each section face kiln surface temperature, minimum value and the difference between them as can be seen, thus reflect the degree of irregularity of kliner coating and the information such as position of kliner coating caking.
Circumferentially temperature profile is drawn with polar form, corresponding with a certain section face of kiln, each point temperature on the same section face is plotted a closed curve, information such as curve degree of irregularity, the kliner coating growth of knowing this section face position kliner coating and dropping situations thus.
In above-mentioned step (5), when generating the axial temperature distribution plan, take determinacy dynamic compensation algorithm according to the variation of scanning distance, according to the relation between scanning distance and the scanning angle, calculate compensation temperature, record the temperature value addition with infrared eye then and obtain axial temperature.Concrete computing formula is as follows:
If H is the vertical height of infrared eye to the kiln surface, L is the scanning distance of infrared eye, and α is a scanning angle, and when height H one timing, the pass between scanning distance L and the scanning angle α is:
Scanning distance L=H/cos α
Compensation temperature Δ T=T
0(L-H)
＝T
0(H/cosα-H)
＝T
0H(1-cosα)/cosα
Wherein:
Axial temperature T=T
1+ Δ T
Wherein: T
0----temperature compensation coefficient,
T
1---infrared temperature-test sensor records temperature value.
Δ T
Max, α
MaxBe respectively the maximum compensation temperature and the maximum anglec of rotation.
In above-mentioned step (5), the temperature samples when working according to kiln is extracted mathematical feature and is determined kiln local anomaly temperature, and concrete steps are as follows:
(1), characteristic temperature point constitutes when getting the kiln operate as normal proper vector is the master sample vector, the online proper vector that records is the actual measurement sample vector;
(2), basis of calculation sample vector and the Euclidean distance of surveying sample vector;
(3), determine that with prior good cluster result criterion standard relatively, draws kiln local anomaly temperature forecast result.
Concrete computation process is as follows:
The expression formula of Euclidean distance:
Difference between two samples is all relevant with dispersion Sn in dispersion Sj between class and the class.
Promptly
According to expertise, the various abnormality of kiln (hot spot whether occurs, lump, fall important informations such as brick, ring formation as kliner coating) can reflect by surveying vector, promptly directly have influence on the size of Euclidean distance, if can be online calculate Euclidean distance δ
E(X
b, X
c), according to determining good cluster result criterion standard in advance, just can obtain fuzzy forecast result.Can adopt based on the C-mean algorithm on the error sum of squares criterion basis:
If Ni is the number of samples among the i cluster Ti, mi is the average of these samples
Promptly
Each sample y and the average m among the Ti
iBetween error sum of squares after to all class additions be
Je is the error sum of squares clustering criteria, and it has been measured with C cluster centre m
1, m
2..., mc represents C sample subclass T1, T2 ..., the total square-error that is produced during Tc.Making the minimum cluster of Je is optimal result under the error sum of squares criterion.In order to obtain these results.The method that the present invention adopts is at first to select sample point.Behind the selected sample point,, represent J coordinate of I sample after the standardization with Yij with data normalization.
Order:
MA＝maxSUM(i)
MI＝minSUM(i)
If desire is divided into the C class with sample, then each i is calculated:
The C mean algorithm can be summarized as follows:
(1), select N sample is divided into the initial division of C cluster, calculate the average m of each cluster
1, m
2M
cAnd Je.
(2), select a selected sample Y, Y ∈ T
i
(3), if Ni=1 then changes (2), otherwise continues;
(4), calculate
(6), for all j, if ρ
k≤ ρ
j, then Y is moved on to the Tk from Ti.
(7), recomputate m
iAnd m
kValue, and revise Je;
(8), if continuously folded band N time, Je does not change then and stops, otherwise forwards (2) to through above-mentioned folded band calculating, finally obtains the residing classification of test sample book, sends corresponding advance notice.The forecast form of stove duty is adopted the mode of phase-plane diagram, get the Euclidean distance δ between temperature test proper vector and the temperature samples proper vector
E(X
b, X
c) be horizontal ordinate, Euclidean distance δ
E(X
b, X
c) rate of change
(X
b, X
c) be ordinate, generate kiln duty prog chart.
Claims (10)
1, a kind of method of infrared scan monitoring Kiln Shell Temperature is characterized in that may further comprise the steps:
(1), obtains rotary kiln surface temperature data by the infrared eye that is installed in kiln tube top in the axial scan mode, by being installed in the corresponding position signalling of position signalling generating apparatus acquisition temperature data of kiln tube;
(2), by the microcomputer system that is installed together with infrared eye temperature data and corresponding position signalling are converted into digital form;
(3), the temperature data and the corresponding position signalling that will be converted into after the digital form is sent to computer system;
(4), computer system carries out pre-service to the temperature data that receives, method is: use mean value method in the same sampling period, continuous sampling is repeatedly averaged; In the different sampling periods, adjacent temperature spot signal is carried out the continuous several times sampling, to its weighted mean;
(5), the temperature data after the computer system comprehensive pretreatment and corresponding position signalling, draw the temperature monitoring result.
2, the method for infrared scan monitoring Kiln Shell Temperature according to claim 1 is characterized in that, in the described step (4), averages for 3 times in same sampling period continuous sampling; In the different sampling periods, adjacent temperature spot signal is carried out continuous 7 samplings, to its weighted mean.
3, the method for infrared scan monitoring Kiln Shell Temperature according to claim 1 and 2 is characterized in that in the described step (5), the temperature monitoring result that computer system draws shows with the form of chart.
4, the method for infrared scan monitoring Kiln Shell Temperature according to claim 3 is characterized in that in the described step (5), the temperature monitoring result's that computer system draws chart comprises the axial temperature distribution plan of cylindrical shell.
5, the method for infrared scan monitoring Kiln Shell Temperature according to claim 3 is characterized in that in the described step (5), the temperature monitoring result's that computer system draws chart comprises two colourity stretch-out views of cylindrical shell.
6, the method for infrared scan monitoring Kiln Shell Temperature according to claim 4 is characterized in that in the described step (5), the temperature monitoring result's that computer system draws chart also comprises the circumferential temperature profile and the three-dimensional temperature profile of cylindrical shell.
7, the method of infrared scan monitoring Kiln Shell Temperature according to claim 1 and 2, it is characterized in that, in the described step (5), axial temperature is carried out dynamic compensation, method is: take determinacy dynamic compensation algorithm according to the variation of scanning distance, at first determine the maximum compensation temperature and the maximum anglec of rotation of scanning, calculate penalty coefficient according to maximum compensation temperature and the maximum anglec of rotation of scanning and infrared eye to the vertical height of kiln surface then, according to vertical height and the penalty coefficient of specified point and the compensation temperature that the scanning anglec of rotation calculate this point of infrared eye, record the temperature value addition with infrared eye then and obtain axial temperature at last to the kiln surface.
8, the method of infrared scan monitoring Kiln Shell Temperature according to claim 6, it is characterized in that, in the described step (5), axial temperature is carried out dynamic compensation, method is: take determinacy dynamic compensation algorithm according to the variation of scanning distance, at first determine the maximum compensation temperature and the maximum anglec of rotation of scanning, calculate penalty coefficient according to maximum compensation temperature and the maximum anglec of rotation of scanning and infrared eye to the vertical height of kiln surface then, according to vertical height and the penalty coefficient of specified point and the compensation temperature that the scanning anglec of rotation calculate this point of infrared eye, record the temperature value addition with infrared eye then and obtain axial temperature at last to the kiln surface.
9, the method for infrared scan monitoring Kiln Shell Temperature according to claim 1 and 2, it is characterized in that, in the described step (5), carry out kiln local anomaly temperature forecast, method is: the temperature samples when working according to kiln is extracted mathematical feature and is determined kiln local anomaly temperature, and concrete steps are as follows:
(1), characteristic temperature point constitutes when getting the kiln operate as normal proper vector is the master sample vector, the online proper vector that records is the actual measurement sample vector;
(2), basis of calculation sample vector and the Euclidean distance of surveying sample vector;
(3), determine that with prior good cluster result criterion standard relatively, draws kiln local anomaly temperature forecast result.
10, the method for infrared scan monitoring Kiln Shell Temperature according to claim 8, it is characterized in that, in the described step (5), the temperature monitoring result's that computer system draws chart also comprises the kiln duty prog chart of cylindrical shell, when generating kiln duty prog chart, temperature samples when working according to kiln is extracted mathematical feature and is determined kiln local anomaly temperature
Concrete steps are as follows:
(1), characteristic temperature point constitutes when getting the kiln operate as normal proper vector is the master sample vector, the online proper vector that records is the actual measurement sample vector;
(2), basis of calculation sample vector and the Euclidean distance of surveying sample vector;
(3), determine that with prior good cluster result criterion standard relatively, draws kiln local anomaly temperature forecast result.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB031462014A CN100353152C (en) | 2003-07-04 | 2003-07-04 | Method for monitoring temperature of rotary kiln barrel through infrared scanning |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB031462014A CN100353152C (en) | 2003-07-04 | 2003-07-04 | Method for monitoring temperature of rotary kiln barrel through infrared scanning |
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| Publication Number | Publication Date |
|---|---|
| CN1566911A true CN1566911A (en) | 2005-01-19 |
| CN100353152C CN100353152C (en) | 2007-12-05 |
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|---|---|---|---|
| CNB031462014A Expired - Fee Related CN100353152C (en) | 2003-07-04 | 2003-07-04 | Method for monitoring temperature of rotary kiln barrel through infrared scanning |
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| CN101078651B (en) * | 2007-05-15 | 2010-09-08 | 热映光电股份有限公司 | Temperature vector meter |
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| CN105092045A (en) * | 2015-04-30 | 2015-11-25 | 无锡市崇安区科技创业服务中心 | Monitoring and early warning system for the temperature of the surface of a rotary kiln body |
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Family Cites Families (2)
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| CN1074041A (en) * | 1991-12-29 | 1993-07-07 | 北方工业大学 | The method of diagnose erosion of rotary kiln wall |
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