AU2021106284A4 - Near-infrared temperature measurement method and system for tail of sintering trolley - Google Patents
Near-infrared temperature measurement method and system for tail of sintering trolley Download PDFInfo
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- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 33
- 238000005245 sintering Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000005855 radiation Effects 0.000 claims abstract description 39
- 238000009826 distribution Methods 0.000 claims abstract description 37
- 238000005259 measurement Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012937 correction Methods 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 abstract description 11
- 239000000843 powder Substances 0.000 abstract description 8
- 238000003333 near-infrared imaging Methods 0.000 abstract description 7
- 238000003384 imaging method Methods 0.000 abstract description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 4
- 230000005457 Black-body radiation Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- 238000003746 solid phase reaction Methods 0.000 description 2
- 101100322915 Caenorhabditis elegans akt-1 gene Proteins 0.000 description 1
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 1
- 238000005054 agglomeration Methods 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0044—Furnaces, ovens, kilns
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
- G01J5/08—Optical arrangements
- G01J5/0859—Sighting arrangements, e.g. cameras
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
OF THE DISCLOSURE
The present disclosure provides a near-infrared temperature measurement method and system
for a tail of a sintering trolley. The method includes the steps of: acquiring a temperature
distribution image of a section of a sintered ore bed by using a short-wave near-infrared
multi-spectral imager, where the temperature distribution image includes a first image and a second
image, the first image is a temperature distribution image with a wave band of 1.0 um, and the
second image is a temperature distribution image with a wave band of 0.8 um; calculating a relative
radiation value according to the first image and the second image; and calculating a temperature
according to the relative radiation value. According to the present disclosure, a short-wave
near-infrared multi-spectral imager is used for radiation temperature measurement at a section of a
tail of an ore bed. The short-wave near-infrared imaging spectrometer has both a high spatial
resolution and a high time resolution. For a target moving at a high speed, the short-wave
near-infrared imaging spectrometer can obtain both spatial information and spectral multi-band
information. By analyzing the spectral multi-band information, more accurate temperature
information can be obtained, thus realizing high-spatial-resolution real-time temperature
measurement of a surface ore bed of a moving sintering bed.
1/1
A temperature distribution images of a section of a sintered 101
ore bed is acquired by using a short-wave near-infrared
multi-spectral imager, where the temperature distribution
image includes a first image and a second image
102
A relative radiation value is calculated according to the first
image and the second image
103
A temperature is calculated according to the relative
radiation value
FIG. 1
Blanking
Transparent protection area
observation
window
Near-infrared Sinteredo re powder bed
imaging ED__<__
_ spectrometer 1 Conveying belt of sintering machine
o Feeding area of
L sintering machine
Blanking area
FIG. 2
Feeding
direction
Beam Shared
splitter lens
Wave ban
of 0.8 um Tail bed
Wave band
of 1.0 urn
FIG. 3
Description
1/1
A temperature distribution images of a section of a sintered 101 ore bed is acquired by using a short-wave near-infrared multi-spectral imager, where the temperature distribution image includes a first image and a second image 102 A relative radiation value is calculated according to the first image and the second image 103 A temperature is calculated according to the relative radiation value FIG. 1
Blanking Transparent protection area observation window Near-infrared Sinteredo re powder bed imaging ED__<__ _ spectrometer 1 Conveying belt of sintering machine o Feeding area of L sintering machine
Blanking area FIG. 2
Feeding direction Beam Shared splitter lens
Wave ban of 0.8 um Tail bed
Wave band of 1.0 urn
FIG. 3
[01] The present disclosure relates to the technical field of near-infrared temperature measurement for sintering, in particular to a near-infrared temperature measurement method and system for a tail of a sintering trolley.
[02] Iron ore sintering is one of the main methods for agglomeration of iron ores. A solid phase reaction occurs before ore powder and solidified ore powder are melted. The solid phase reaction is a reaction which generates a new compound through migration, diffusion and mutual combination caused by increase of kinetic energy of ions on particle surfaces when the ore powder is heated to a certain temperature below a melting point of the ore powder. Sintering requires a temperature above 1000°C. However, accurate and transient measurement cannot be achieved in such high-temperature environment. In addition, a sintering trolley is a moving system, which makes it troublesome and difficult to place a temperature measuring device on a sintering bed. As a result, the existing technology and equipment cannot quickly reflect a direct physical quantity, namely temperature, of production performance indexes on line with a low cost on the premise of maintaining a production capacity of an existing production line unchanged, smooth running and reform without shutdown. Therefore, the existing technology requires further improvement.
[03] To overcome the above shortcomings, the present disclosure provides a near-infrared temperature measurement method and system for a tail of a sintering trolley.
[04] To achieve the above purpose, the present disclosure provides the following solutions:
[05] A near-infrared temperature measurement method for a tail of a sintering trolley includes the steps of:
[06] acquiring a temperature distribution image of a section of a sintered ore bed by using a short-wave near-infrared multi-spectral imager, where the temperature distribution image includes a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of 0.8 um;
[07] calculating a relative radiation value according to the first image and the second image; and
[08] calculating a temperature according to the relative radiation value.
[09] Further, the near-infrared temperature measurement method further includes a step of correcting a temperature for the short-wave near-infrared multi-spectral imager.
[10] Further, a standard temperature blackbody is used for temperature correction for the short-wave near-infrared multi-spectral imager. S[11] Further, the temperature is calculated by a Planck radiation formula.
[12] Further, the short-wave near-infrared multi-spectral imager has a measurement wave band range of 0.4 um to 1.2 um, a temperature range of 600°C to 1300°C and a measurement speed of five seconds per image.
[13] The present disclosure further provides a near-infrared temperature measurement system for a tail of a sintering trolley, which includes:
[14] a temperature distribution image acquisition module used for acquiring a temperature distribution image of a section of a sintered ore bed by using a short-wave near-infrared multi-spectral imager, where the temperature distribution image includes a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of 0.8 um;
[15] a relative radiation value calculation module used for calculating a relative radiation value according to the first image and the second image; and
[16] a temperature calculation module used for calculating a temperature according to the relative radiation value.
[17] Further, the near-infrared temperature measurement system further includes:
[18] a temperature correction module used for correcting a temperature for the short-wave near-infrared multi-spectral imager.
[19] Based on specific embodiments provided in the present disclosure, the present disclosure discloses the following technical effects:
[20] a short-wave near-infrared multi-spectral imager is used for radiation temperature measurement at a section of a tail of an ore bed. The short-wave near-infrared imaging spectrometer has both a high spatial resolution and a high time resolution. For a target moving at a high speed, the short-wave near-infrared imaging spectrometer can obtain both spatial information and spectral multi-band information. By analyzing the spectral multi-band information, more accurate temperature information can be obtained, thus realizing high-spatial-resolution real-time temperature measurement of a surface ore bed of a moving sintering bed.
[21] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the accompanying drawings required for the embodiments are briefly described below. Apparently, the accompanying drawings described below are merely some embodiments of the present disclosure, and those of ordinary skill in the art may still obtain other accompanying drawings based on these accompanying drawings without creative efforts.
[22] FIG. 1 is a flow chart of a near-infrared temperature measurement method for a tail of a sintering trolley in an embodiment of the present disclosure;
[23] FIG. 2 is a schematic diagram showing installation of a short-wave near-infrared multi-spectral imager in an embodiment of the present disclosure; and
[24] FIG. 3 is a schematic diagram showing temperature measurement at a tail of a sintering trolley in an embodiment of the present disclosure.
[25] The technical solutions of the embodiments of the present disclosure are clearly and completely described below with reference to the accompanying drawings. Apparently, the described embodiments are merely a part rather than all of the embodiments of the present disclosure. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.
[26] The present disclosure aims to provide a near-infrared temperature measurement method and system for a tail of a sintering trolley. According to the present disclosure, a short-wave near-infrared multi-spectral imager is used for radiation temperature measurement at a section of a tail of an ore bed. The short-wave near-infrared imaging spectrometer has both a high spatial resolution and a high time resolution. For a target moving at a high speed, the short-wave near-infrared imaging spectrometer can obtain both spatial information and spectral multi-band information. By analyzing the spectral multi-band information, more accurate temperature information can be obtained, thus realizing high-spatial-resolution real-time temperature measurement of a surface ore bed of a moving sintering bed.
[27] A principle of near-infrared multi-spectral temperature measurement is as follows: an object with a temperature emits heat radiation outwards; due to different temperatures, different objects emit different energy and emit waves with different radiation wavelengths; for an object with a temperature within a range from 800°C to 1600°C, there is higher short-wave near-infrared radiation (with a wave band of 800 nm to 1200 nm); and a surface temperature of the object can be accurately measured by measuring the near-infrared radiation of the object by using a Planck radiation formula.
[28] To make the above purposes, features, and advantages of the present disclosure clearer and more comprehensible, the present disclosure will be further described in detail below with reference to the accompanying drawings and the specific implementations.
[29] As shown in FIG. 1, the near-infrared temperature measurement method for a tail of a sintering trolley includes the following steps of:
[30] Step 101, a temperature distribution image of a section of a sintered ore bed is acquired by using a short-wave near-infrared multi-spectral imager, where the temperature distribution image includes a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of 0.8 um.
[31] Multi-spectral images have the same view fields. However, the images are not aligned one by one due to installation errors. Therefore, positions of the images should be corrected in advance to make sure that image pixels of each spectral channel correspond to each other one by one.
[32] Step 102, a relative radiation value is calculated according to the first image and the second image.
[33] Step 103, a temperature is calculated according to the relative radiation value.
[34] As shown in FIG. 2, a short-wave near-infrared multi-spectral imager is used for radiation temperature measurement at a section of a tail of an ore bed. A short-wave near-infrared imaging spectrometer has the following indexes:
[35] measurable wave band range: 0.4 um to 1.2 um;
[36] detector: a short-wave near-infrared enhanced CMOS array detector;
[37] pixel quantity of the detector: 2,000,000 pixels;
[38] measuring spectral band A: a central wavelength is 1.00 um, and a bandwidth is 25 nm;
[39] measuring spectral band B: a center wavelength is 0.800 um, and a bandwidth is 25 nm;
[40] temperature range: 600°C to 1300°C;
[41] calibration: standard blackbody radiation calibration;
[42] measurement speed: five seconds per image; and
[43] measurement algorithm: a dual-wavelength radiation temperature measurement algorithm.
[44] In a sintered ore blanking area, the short-wave near-infrared multi-spectral imager acquires temperature distribution of the blanking area and a section of a sintered ore bed through a transparent observation window. Where, the transparent window is made from JGS3 quartz glass, which can transmit near-infrared light signals and realize heat insulation as well.
[45] The short-wave near-infrared multi-spectral imager adopts a dual-wavelength radiation temperature measurement algorithm to realize high temperature measurement. As shown in FIG. 3, an incident image is divided into two identical images by a 50:50 spectroscope, which irradiate photosensitive array detectors with different wave bands, where one has a wave band of 1.0 um band, and the other one has a wave band of 0.8 um. An interference filter is used for wave band filtration.
[46] The overall set of device realizes continuous and different layers of temperature distribution measurement of sintered ore powder beds. Due to a high measurement speed, temperature changes of sintered ore powder at different positions in an overall sintering process can be obtained through data analysis, thereby providing digital measurement support for parameter control of a sintering machine.
[47] Temperature measurement algorithm:
[48] Blackbody radiation with a temperature from 600°C to 1300°C is adopted, where a spectral radiation rising range of the blackbody radiation is from 1 um to 2 um; and the temperature can be measured by a ratio of two radiation values of 0.8 um and 1.0 um.
[49] According to the Planck formula: 8rchc 1 L(2, T) e(2,T) ehc/AkT 1
[50] A5 -hc.k U(1)
[51] where
[52] ) represents a wavelength;
[53] , (k, T) represents an emissivity of a gray body;
[54] h represents a Planck constant;
[55] k represents a Boltzmann constant; and
[56] c represents a speed of light.
[57] Spectral radiances of an object surface with a temperature of T are set as L(AI,T) and L(A2, T) under wavelengths 1 and k2; B= L(l,T)
[58] L(h2, T) (2)
[59] when the temperature is higher than 600°C, e hclAkT (3)
[60] the formula (1) is substituted into the formula (2), and the formula (3) is considered to obtain a formula as follows: -5
B ~ IT exp -C 2 + C2 2 (4)
[61] c , T) A2 1 T A2T hC
[62] where k, and represents a second radiation constant. InB - In -AT 51n" =2 I
[63] The formula (3) is regulated to obtain fl (A2,I T1 h T A2 Alj
InB -In ~iT) -5In A2 1 _ (A2,6 T)1A 1 1 1 {
[64] So T2 A1 (5)
[65] During measurement, since a measured sample is similar to a gray body, the emissivity C{zIr)is a constant, which can be considered as ,T)- (22,T) C(A1, T)
[66] Therefore, in formula (5), (2, 7) 1 ,
[67] in the formula (5), T can be calculated by measuring B.
[68] In the present disclosure, 11=0.8 um, X2=1.0 um.
[69] In order to improve a signal-to-noise ratio, firstly, an image is compressed to 1/4 of an original size; an image of a relative radiation value B is calculated by using image data of two channels; and a relationship between the relative radiation value and the temperature is described in formula 5.
[70] An instrument is subjected to temperature correction in advance by a standard temperature blackbody. The temperature is calculated according to the measured value B by using a corrected parameter coefficient.
[71] According to the above method, image data at different moments are extracted to obtain time-varying curves at different positions.
[72] The present disclosure further provides a near-infrared temperature measurement system for a tail of a sintering trolley, which includes:
[73] a temperature distribution image acquisition module used for acquiring a temperature distribution image of a section of a sintered ore bed by using a short-wave near-infrared multi-spectral imager, where the temperature distribution image includes a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of 0.8 um;
[74] a relative radiation value calculation module used for calculating a relative radiation value according to the first image and the second image; and
[75] a temperature calculation module used for calculating a temperature according to the relative radiation value.
[76] The near-infrared temperature measurement system further includes:
[77] a temperature correction module used for correcting a temperature for the short-wave near-infrared multi-spectral imager.
[78] Each embodiment of the present specification is described in a progressive manner and focuses on the difference from other embodiments, and the same and similar parts of the embodiments may refer to each other.
[79] Specific embodiments are used herein for illustrating the principles hand implementations of the present disclosure. The description of the above embodiments is merely used to help understand the method for the present disclosure and the core ideas of the method. In addition, those of ordinary skill in the art can make modifications in terms of specific implementations and application range in accordance with the ideas of the present disclosure. In conclusion, the content of the present specification shall not be construed as a limitation to the present disclosure.
Claims (5)
1. A near-infrared temperature measurement method for a tail of a sintering trolley comprises the steps of: acquiring a temperature distribution image of a section of a sintered ore bed by using a short-wave near-infrared multi-spectral imager, wherein the temperature distribution image comprises a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of0.8um; calculating a relative radiation value according to the first image and the second image; and calculating a temperature according to the relative radiation value.
2. The near-infrared temperature measurement method for a tail of a sintering trolley according to claim 1, further comprising a step of correcting a temperature for the short-wave near-infrared multi-spectral imager; wherein a standard temperature blackbody is used for temperature correction for the short-wave near-infrared multi-spectral imager; wherein the temperature is calculated by a Planck radiation formula.
3. The near-infrared temperature measurement method for a tail of a sintering trolley according to claim 1, wherein the short-wave near-infrared multi-spectral imager has a measurement wave band of 0.4 um to 1.2 um, a temperature range of 600°C to 1300°C, and a measurement speed of five seconds per image.
4. A near-infrared temperature measurement system for a tail of a sintering trolley comprises: a temperature distribution image acquisition module used for acquiring a temperature distribution image of a section of a sintered ore bed by using a short-wave near-infrared multi-spectral imager, wherein the temperature distribution image includes a first image and a second image, the first image is a temperature distribution image with a wave band of 1.0 um, and the second image is a temperature distribution image with a wave band of 0.8 um; a relative radiation value calculation module used for calculating a relative radiation value according to the first image and the second image; and a temperature calculation module used for calculating a temperature according to the relative radiation value.
5. The near-infrared temperature measurement system for a tail of a sintering trolley according to claim 4, further comprising: a temperature correction module used for correcting a temperature for the short-wave ) near-infrared multi-spectral imager.
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