CN110006535A - A kind of temp measuring method based on infrared thermal imaging technique - Google Patents
- ️Fri Jul 12 2019
CN110006535A - A kind of temp measuring method based on infrared thermal imaging technique - Google Patents
A kind of temp measuring method based on infrared thermal imaging technique Download PDFInfo
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Publication number
- CN110006535A CN110006535A CN201910300051.9A CN201910300051A CN110006535A CN 110006535 A CN110006535 A CN 110006535A CN 201910300051 A CN201910300051 A CN 201910300051A CN 110006535 A CN110006535 A CN 110006535A Authority
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- China Prior art keywords
- model
- thermal imaging
- infrared thermal
- gray value
- temperature Prior art date
- 2019-04-15 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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- 238000000034 method Methods 0.000 claims abstract description 43
- 238000001931 thermography Methods 0.000 claims abstract description 33
- 230000005457 Black-body radiation Effects 0.000 claims abstract description 7
- 241001269238 Data Species 0.000 claims abstract description 5
- 238000012795 verification Methods 0.000 claims abstract description 4
- 238000012937 correction Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 description 2
- 238000004861 thermometry Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 description 1
- 230000000007 visual 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
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The present invention provides a kind of temp measuring methods based on infrared thermal imaging technique, include the following steps: step 1: measuring black body radiation with infrared thermal imaging machine core, obtain gray value data；Step 2: establishing temperature measuring model, read in gray value data, obtain model parameter with fitting tool；Step 3: a large amount of gray value datas under different temperatures being substituted into the temperature measuring model in step 2, verify the accuracy and precision of model；Step 4: according to verification result, model being optimized；Step 5: the model of step 4 being exported, optimal temperature measuring model is obtained.Temp measuring method of the present invention based on infrared thermal imaging technique is adapted to the variation of various environment temperatures, and infrared imagery technique is not influenced by weather such as dense fog, hazes, substantially increases the adaptability and accuracy of thermometric.
Description
Technical field
The invention belongs to infrared thermal imaging thermometry fields, more particularly, to a kind of survey based on infrared thermal imaging technique Warm method.
Background technique
Infrared thermal imaging technique is issued by the measured target that infrared sensor reception is located at certain distance infrared Radiation, then it is transformed by signal processing system a kind of technology of the video thermal image of target, it converts the heat distribution of object It for visual image, and is come out on a monitor with gray level or pseudo-color processing, to obtain the Temperature Distribution field of measured target. Infrared thermal imaging thermometry is contactless temperature-measuring, because its destroy with fast response time, not the temperature field of measurand with And can on-line checking certain measured targets for being difficult to contact or forbid contact the features such as, which is widely applied.And it is red The temp measuring method of outer thermal imaging is temporarily also blank.
Summary of the invention
In view of this, the present invention is directed to propose a kind of temp measuring method based on infrared thermal imaging technique, to provide a kind of sound Answer that speed is fast, measurement accuracy is high, the temp measuring method of the extensive infrared thermal imaging technique of measured target.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of temp measuring method based on infrared thermal imaging technique, includes the following steps:
Step 1: measuring black body radiation with infrared thermal imaging machine core, obtain gray value data；
Step 2: establishing temperature measuring model, read in gray value data, obtain model parameter with fitting tool；
Step 3: a large amount of gray value datas under different temperatures being substituted into the temperature measuring model in step 2, verify the standard of model True property and precision；
Step 4: according to verification result, model being optimized；
Step 5: the model of step 4 being exported, optimal temperature measuring model is obtained.
Further, the step 1 obtains the specific steps of gray value data are as follows:
Step 1.1: infrared thermal imaging machine core being calibrated, Nonuniformity Correction is carried out；
Step 1.2: changing blackbody temperature, obtain the gray value data under different temperatures；
Step 1.3: giving up the biggish point of grey value difference after statistics；
Step 1.4: obtaining new gray value data.
Further, the step 2 establishes temperature measuring model step and includes:
Step 2.1: determining the influence factor of infrared thermal imaging thermometric；
Step 2.2: establishing model equation, equation is cubic polynomial Ti=f (xi)
Wherein, TiFor temperature, xiIt is TiGray value when temperature；
Step 2.3: being fitted by fitting tool, obtain fitting parameter；
Step 2.4: output model equation.
Further, fitting tool is matlab Fitting Toolbox.
Further, the accuracy of verifying model includes: with precision in the step 3
Step 3.1: the gray value under the different temperatures measured being substituted into the model equation in step 2.4, obtains the gray scale Temperature under value；
Step 3.2: a large amount of temperature value is counted, obtains wherein mean value, maxima and minima, and with practical temperature Angle value is compared；
Step 3.3: above steps may be repeated multiple times, obtains measurement accuracy range.
Further, the specific steps of the step 4 include:
Step 4.1: rejecting the bad point in detector, temperature drift compensation is carried out to it and blind element compensates；
Step 4.2: step 1, step 2, step 3 are repeated, to obtain better temperature measuring model.
Compared with the existing technology, the temp measuring method of the present invention based on infrared thermal imaging technique has the advantage that
(1) temp measuring method of the present invention based on infrared thermal imaging technique calibrates infrared thermal imaging machine core, carries out Blind element compensation, temperature drift compensation, Nonuniformity Correction；Then the black body radiation under different temperatures is measured, by fitting tool and is intended Close equation, determine optimal thermometric model of fit, this method is adapted to the variation of environment temperature, and infrared imagery technique not by The influence of the weather such as dense fog, haze substantially increases the adaptability and accuracy of thermometric.
Detailed description of the invention
The attached drawing for constituting a part of the invention is used to provide further understanding of the present invention, schematic reality of the invention It applies example and its explanation is used to explain the present invention, do not constitute improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the temp measuring method based on infrared thermal imaging technique described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase Mutually combination.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower", The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair Limitation of the invention.In addition, term " first ", " second " etc. are used for description purposes only, it is not understood to indicate or imply phase To importance or implicitly indicate the quantity of indicated technical characteristic.The feature for defining " first ", " second " etc. as a result, can To explicitly or implicitly include one or more of the features.In the description of the present invention, unless otherwise indicated, " multiple " It is meant that two or more.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood by concrete condition Concrete meaning in the present invention.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
A kind of temp measuring method based on infrared thermal imaging technique, as shown in Figure 1, including the following steps:
Step 1: measuring black body radiation with infrared thermal imaging machine core, obtain gray value data；
Step 2: establishing temperature measuring model, read in gray value data, obtain model parameter with fitting tool；
Step 3: a large amount of gray value datas under different temperatures being substituted into the temperature measuring model in step 2, verify the standard of model True property and precision；
Step 4: according to verification result, model being optimized；
Step 5: the model of step 4 being exported, optimal temperature measuring model is obtained.
The step 1 obtains gray value data step
Step 1.1: nonuniformity correction is carried out to infrared machine core；
Step 1.2: changing blackbody temperature, obtain the gray value data under different temperatures；
Step 1.3: giving up the biggish point of grey value difference after statistics；
Step 1.4: obtaining new gray value data.
The step 2 establishes temperature measuring model step
Step 2.1: determining the influence factor of infrared thermal imaging thermometric；
Step 2.2: establishing model equation, equation is cubic polynomial Ti=f (xi)
Wherein, TiFor temperature, xiIt is TiGray value when temperature；
Step 2.3: by fitting, obtaining parameter；
Step 2.4: output model equation.
The accuracy of verifying model includes: with precision in the step 3
Step 3.1: the gray value under the different temperatures measured being substituted into the model equation in step 2.4, obtains the gray scale Temperature under value；
Step 3.2: a large amount of temperature value is counted, obtains wherein mean value, maxima and minima, and with practical temperature Angle value is compared；
Step 3.3: above steps may be repeated multiple times, obtains measurement accuracy range.
The step of step 4 includes:
Step 4.1: rejecting the bad point in detector, temperature drift compensation is carried out to it and blind element compensates；
Step 4.2: step 1, step 2, step 3 are repeated, to obtain better temperature measuring model.
A kind of concrete operating principle of the temp measuring method based on infrared thermal imaging technique:
The invention essentially consists in black body radiation measurement, nonuniformity correction, data fitting.
Firstly, calibrating infrared thermal imaging machine core, blind element compensation, temperature drift compensation, Nonuniformity Correction are carried out；Then it measures Black body radiation counts the voltage signal exported by detector, which is analog signal, turns via ADC chip Multistation digital signal i.e. image grayscale pixel value is generated after changing.
Then image grayscale pixel value is read in, is fitted using fitting tool, fit equation is binary cubic equation, is led to Least square method is crossed, determines fitting parameter.Fitting tool is matlab Fitting Toolbox.
After obtaining fitting parameter and determining fit equation, a large amount of gray value datas measured under different temperatures are substituted into and are fitted In equation, corresponding temperature is calculated, numerical statistic is carried out to a large amount of temperature data, is obtained with the maximum in an array Value, minimum value, mean value, and compared with actual temperature, calculate the accuracy rating of temperature.
According to above-mentioned step acquired results, detector and model of fit are optimized, it is larger to reject temperature error Point, obtain better model of fit.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of temp measuring method based on infrared thermal imaging technique, characterized by the following steps:
Step 1: measuring black body radiation with infrared thermal imaging machine core, obtain gray value data；
Step 2: establishing temperature measuring model, read in gray value data, obtain model parameter with fitting tool；
Step 3: a large amount of gray value datas under different temperatures being substituted into the temperature measuring model in step 2, verify the accuracy of model With precision；
Step 4: according to verification result, model being optimized；
Step 5: the model of step 4 being exported, optimal temperature measuring model is obtained.
2. a kind of temp measuring method based on infrared thermal imaging technique according to claim 1, it is characterised in that: the step 1 obtains the specific steps of gray value data are as follows:
Step 1.1: infrared thermal imaging machine core being calibrated, Nonuniformity Correction is carried out；
Step 1.2: changing blackbody temperature, obtain the gray value data under different temperatures；
Step 1.3: giving up the biggish point of grey value difference after statistics；
Step 1.4: obtaining new gray value data.
3. a kind of temp measuring method based on infrared thermal imaging technique according to claim 1, it is characterised in that: the step 2, which establish temperature measuring model step, includes:
Step 2.1: determining the influence factor of infrared thermal imaging thermometric；
Step 2.2: establishing model equation, equation is cubic polynomial Ti=f (xi)
Wherein, TiFor temperature, xiIt is TiGray value when temperature；
Step 2.3: being fitted by fitting tool, obtain fitting parameter；
Step 2.4: output model equation.
4. a kind of temp measuring method based on infrared thermal imaging technique according to claim 3, it is characterised in that: fitting tool For matlab Fitting Toolbox.
5. a kind of temp measuring method based on infrared thermal imaging technique according to claim 3, it is characterised in that: the step The accuracy of verifying model includes: with precision in 3
Step 3.1: the gray value under the different temperatures measured being substituted into the model equation in step 2.4, is obtained under the gray value Temperature；
Step 3.2: a large amount of temperature value being counted, wherein mean value, maxima and minima, and and actual temperature value are obtained It is compared；
Step 3.3: above steps may be repeated multiple times, obtains measurement accuracy range.
6. a kind of temp measuring method based on infrared thermal imaging technique according to claim 1, it is characterised in that: the step 4 specific steps include:
Step 4.1: rejecting the bad point in detector, temperature drift compensation is carried out to it and blind element compensates；
Step 4.2: step 1, step 2, step 3 are repeated, to obtain better temperature measuring model.
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| CN110672214A (en) * | 2019-10-28 | 2020-01-10 | 中科和光（天津）应用激光技术研究所有限公司 | Method for acquiring temperature drift compensation parameter of uncooled infrared thermal imaging |
| CN111207833A (en) * | 2020-01-15 | 2020-05-29 | 中科和光（天津）应用激光技术研究所有限公司 | Temperature measurement method based on image data normalization technology |
| CN111486961A (en) * | 2020-04-15 | 2020-08-04 | 贵州安防工程技术研究中心有限公司 | Efficient forehead temperature estimation method based on wide-spectrum human forehead imaging and distance sensing |
| CN111678605A (en) * | 2020-06-17 | 2020-09-18 | 北京中云微迅信息技术有限公司 | Infrared temperature measurement compensation method based on thermopile electricity |
| CN112013966A (en) * | 2020-08-24 | 2020-12-01 | 电子科技大学 | Power equipment infrared image processing method based on measured temperature |
| CN112665726A (en) * | 2020-11-25 | 2021-04-16 | 广州紫川电子科技有限公司 | Fitting method, device and medium for human body temperature measurement curve |
| CN113358226A (en) * | 2020-03-02 | 2021-09-07 | 杭州海康威视数字技术股份有限公司 | Temperature measuring method, electronic equipment and storage medium |
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| CN111207833A (en) * | 2020-01-15 | 2020-05-29 | 中科和光（天津）应用激光技术研究所有限公司 | Temperature measurement method based on image data normalization technology |
| CN113358226A (en) * | 2020-03-02 | 2021-09-07 | 杭州海康威视数字技术股份有限公司 | Temperature measuring method, electronic equipment and storage medium |
| CN113358226B (en) * | 2020-03-02 | 2022-12-02 | 杭州海康威视数字技术股份有限公司 | Temperature measuring method, electronic equipment and storage medium |
| CN111486961A (en) * | 2020-04-15 | 2020-08-04 | 贵州安防工程技术研究中心有限公司 | Efficient forehead temperature estimation method based on wide-spectrum human forehead imaging and distance sensing |
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| CN112013966A (en) * | 2020-08-24 | 2020-12-01 | 电子科技大学 | Power equipment infrared image processing method based on measured temperature |
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| CN112665726A (en) * | 2020-11-25 | 2021-04-16 | 广州紫川电子科技有限公司 | Fitting method, device and medium for human body temperature measurement curve |
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Application publication date: 20190712 |