CN112729565B - Temperature measurement method for increasing distance through infrared lens - Google Patents
Temperature measurement method for increasing distance through infrared lens Download PDFInfo
- Publication number
- CN112729565B CN112729565B CN202011562455.4A CN202011562455A CN112729565B CN 112729565 B CN112729565 B CN 112729565B CN 202011562455 A CN202011562455 A CN 202011562455A CN 112729565 B CN112729565 B CN 112729565B
- Authority
- CN
- China
- Prior art keywords
- temperature
- value
- area
- measurement
- pixel
- Prior art date
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000005259 measurement Methods 0.000 claims description 28
- 230000005855 radiation Effects 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 6
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- 239000003086 colorant Substances 0.000 claims description 2
- 230000008030 elimination Effects 0.000 claims description 2
- 238000003379 elimination reaction Methods 0.000 claims description 2
- 238000000926 separation method Methods 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 claims 1
- 238000013480 data collection Methods 0.000 claims 1
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
- G01J5/0803—Arrangements for time-dependent attenuation of radiation signals
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The invention discloses a temperature measurement method for increasing distance through an infrared lens, belonging to the field of temperature detection; the method relates to a technology for increasing temperature detection distance, and is used for solving the problem that most of the existing temperature detection instruments are used for short-distance detection and cannot perform detection at a safe distance; by using the scheme, the distance of temperature detection is increased, the data of the temperature detection can be guaranteed to be effective within the distance of 55CM, the detection speed is accelerated, the risk of personnel detection is reduced, the working cost of personnel is reduced, and the data of the detection can be guaranteed to be stable and effective; the temperature measurement method effectively solves the practical problem that a user is difficult to determine the temperature-measured area and the temperature measurement value because of the long distance in the practical use process of the current temperature measurement instrument, and can also solve the problem that some measured objects are difficult to meet the condition of safe distance or cannot be solved by the temperature measurement instrument because of the complex environmental condition.
Description
Technical Field
The invention belongs to the field of temperature detection; to techniques for increasing the detection distance of temperature; in particular to a temperature measuring method for increasing the distance by an infrared lens.
Background
The infrared thermometer is a high-precision non-contact temperature measuring instrument, which receives the infrared radiation energy of the measured object through an optical system and then converts the infrared radiation energy into an electric signal, and then the electric signal is processed by a microcomputer, and the measured temperature is directly displayed by a display. The basis of signal processing by a microcomputer in the infrared thermometer is the functional relation between the infrared radiation energy received by the instrument and the temperature of the measured object.
At present, common infrared thermometers in the market are uniformly designed according to the heat radiation rule of an ideal black body model, namely, a measured object is assumed to be an ideal black body, the specific expression mode of the ideal black body is a standard black body, and the standard black body is listed in a measuring instrument catalogue for forced verification in a current standard measuring method. However, the problems we face are: the object to be measured is a colorful object with various heat radiation conditions. Therefore, in the application process of the actual infrared thermometer, the relationship between the thermal radiation law of the ideal black body and the thermal radiation laws of various actual measured objects must be found out, and the real result can be obtained. However, the long-term conventional theory makes people to consider that the difference between the ideal black body and the actual measured object is only the difference of radiance, so when the relation between the thermal radiation laws of the ideal black body and the actual measured object is found, the radiance correction difficulty which is difficult to solve for a long time is encountered, and the actual temperature value is difficult to obtain.
Disclosure of Invention
The invention aims to provide a temperature measuring method for increasing distance through an infrared lens, which is used for solving the problem that most of the existing temperature detecting instruments are used for short-distance detection and cannot detect at a safe distance.
The purpose of the invention can be realized by the following technical scheme:
a method of measuring temperature with increased distance through an infrared lens, the method comprising the steps of:
the method comprises the following steps: an infrared lens is additionally arranged on one side surface of the temperature component;
step two: the temperature component collects measurement pictures and temperature information in the measurement area;
step three: the method comprises the following steps of dividing a measurement picture into a plurality of pixel units, selecting the pixel units with the temperature difference value exceeding the LMAX between the adjacent pixel units as target pixel unit points, sequentially connecting the target pixel unit points, and selecting the area with the largest connecting area as a temperature measuring area, wherein the method specifically comprises the following steps:
AA1 selecting adjacent pixel units as contrast groups; the comparison group is provided with N groups;
AA2, reading the temperature value corresponding to the pixel unit in the comparison group and subtracting the temperature values corresponding to the pixel unit in the comparison group to obtain a group simulation temperature value;
AA3, arranging the mimicry temperature values according to the numerical value, selecting the mimicry temperature value exceeding LMAX as a mark temperature, and selecting a comparison group corresponding to the mark temperature as a connection comparison group;
AA4, connecting all the connection comparison groups, and selecting the area with the largest area surrounded by the connection as a temperature measuring area;
step four: calculating an effective temperature average value in a temperature measuring area in a normal distribution mode;
step five: and transmitting the average temperature value to a database, and matching the average temperature value with a standard data value stored in the database to obtain a displayed temperature value.
Further, the specific method for calculating the average effective temperature value in the temperature measurement area in the normal distribution mode is as follows:
q1 given by the formula U (T) AeB/TT is absolute zero under standard conditions, and a specific numerical value of the operation parameter A is obtained, wherein B is a preset proportionality coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
q3, substituting the temperature values corresponding to the pixel units in the thermometric area into the regression formula U (Tii) AeB/TiAnd obtaining the average temperature value U (Tii) of the measured object, wherein the temperature value corresponding to the pixel unit in the temperature measuring area is Ti.
Further, in the fifth step, the effective average temperature value is transmitted to the database and matched with the standard data value stored in the database to obtain the displayed temperature value specifically by firstly passing through a formula
The average value U (Tii) is processed by error elimination to obtain an error eliminated temperature value Tt
A correction factor; when the result is less than 0.01, the displayed temperature value is equal to Bix by comparison with the formula (Tt + δ) -Bix, where δ is the correction coefficient and Bix is the standard data value.
Further, in the second step, the collecting of the measurement picture and the temperature information in the measurement area by the temperature component is specifically as follows: the temperature component acquires a measurement picture and temperature in the measurement area through the image acquisition unit and the temperature detection unit, wherein the image acquisition unit is used for acquiring a color image of the object to be measured.
Further, the temperature detection unit is used for detecting an initial reference temperature value of the object to be detected;
the temperature component also comprises a data acquisition and analysis unit which is mutually communicated with the image acquisition unit and the temperature detection unit respectively;
and the data acquisition and analysis unit is used for respectively receiving the color image and the initial reference temperature value and calculating to obtain the temperature value of the pixel point at the central position of the color image.
Further, in the third step, the measurement picture is divided into a plurality of pixel units, the pixel units with the temperature difference value exceeding the LMAX between the adjacent pixel units are selected as target pixel unit points, the target pixel unit points are sequentially connected, and in the process of selecting the area with the largest connecting area as a temperature measurement area, the method for obtaining the temperature values of the pixel points specifically comprises the step of obtaining the temperature values of the pixel points at the center position of the color image and sequentially obtaining the temperature values of all the pixel points in the color image by utilizing a neural network simulation algorithm.
Furthermore, the data acquisition and analysis unit separates the color image according to three primary colors through a separation module, so as to obtain three monochromatic color pictures, and counts the gray distribution of the three monochromatic color pictures.
Further, the neural network simulation algorithm is specifically based on a formula
Obtaining the temperature value T of the pixel point at the central position, wherein kappa is the polar coordinate of the pixel point at the central position of the color image, Tkappa is the temperature value of the pixel point corresponding to the current polar coordinate, lambda is the wavelength during temperature measurement calculation, E is the spectral radiance, and CπThe current radiation parameter and phi are preset parameters;
in the passing of formula
And obtaining the temperature value Ti of any pixel point, wherein kappa i is any coordinate under the current polar coordinate.
Further, the database is an off-line database and is stored in the memory.
Compared with the prior art, the invention has the beneficial effects that:
by adopting the scheme, the distance of temperature detection is increased, the data of the temperature detection can be guaranteed to be effective within the distance of 55CM, the detection speed is accelerated, the risk of personnel detection is reduced, the working cost of personnel is reduced, and the data of the detection can be guaranteed to be more stable and effective;
the temperature measurement method effectively solves the practical problem that a user is difficult to determine the measured temperature area and the temperature measurement value because of long distance in the practical use process of the current temperature measurement instrument, and can also solve the problem that some measured objects are difficult to meet the condition of safe distance or cannot be solved by the temperature measurement instrument because of complex environmental conditions.
The instrument designed by the invention can realize the aim of designing the infrared thermometer aiming at the specific measurement conditions faced by a user in principle (the measurement conditions comprise the radiance of a measured object, background radiation, medium absorption, working wave band of the instrument and other factors which influence the receiving of the infrared radiation energy of the measured object by an optical system of the instrument).
Through experiments, by adopting the method, the filament temperature which is set for the measured object and has the farthest distance of 60CM and phi of 0.075mm is used for measurement, and the high-precision measurement result is obtained in a large enough range.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a functional block diagram of the present invention;
fig. 2 is a schematic view of a lens structure.
In the figure: 1. an infrared lens.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
As shown in fig. 1-2, a method for measuring temperature by increasing distance through an infrared lens includes the following steps:
the method comprises the following steps: an infrared lens 1 is additionally arranged in a temperature component measuring area;
step two: the temperature component acquires a measurement picture and temperature information in the measurement area, and the temperature component acquires the measurement picture and temperature in the measurement area through the image acquisition unit and the temperature detection unit, wherein the image acquisition unit is used for acquiring a color image of an object to be measured;
the temperature component also comprises a data acquisition and analysis unit which respectively performs data transmission with the image acquisition unit and the temperature detection unit;
the data acquisition and analysis unit is used for respectively receiving the color image and the initial reference temperature value and calculating to obtain the temperature value of a pixel point at the central position of the color image;
the image acquisition unit comprises a camera end, the camera end comprises a plurality of cameras, the camera unit can be any type of camera and can be a color camera with the resolution of one million pixels (namely, the camera unit comprises one million color image sensors and corresponding wide-angle lenses), and the depth of field of the camera unit is 30-80 cm; the main camera and the auxiliary camera can be combined to form a camera end, the resolution ratio and the depth of field of the main camera and the auxiliary camera are different, so that the pictures at different distances in front of the cameras can be clearly imaged, the resolution ratio requirement of the camera with the longer depth of field is higher, the main camera is a black-and-white camera with two million pixels and the depth of field of 20-35 cm, the auxiliary camera is a color camera with five million pixels and the depth of field of 35-50 cm, when the measured object is close, the main camera acquires images, when the measured object is far, the auxiliary camera acquires images, the cameras with different types are selected according to the distance from the measured object to the lens, the images at different distances in front of the lens are clear, and the user can use the camera more conveniently.
Step three: the method comprises the following steps of dividing a measurement picture into a plurality of pixel units, selecting the pixel units with the temperature difference value exceeding the LMAX between the adjacent pixel units as target pixel unit points, sequentially connecting the target pixel unit points, and selecting the area with the largest connecting area as a temperature measuring area, wherein the method specifically comprises the following steps:
AA1 selecting adjacent pixel units as contrast groups; the comparison group is provided with N groups;
AA2, reading the temperature value corresponding to the pixel unit in the comparison group and subtracting the temperature values corresponding to the pixel unit in the comparison group to obtain a group simulation temperature value;
AA3, arranging the group mimicry temperature values according to the value, selecting the mimicry temperature value exceeding LMAX as a mark temperature, and selecting the corresponding comparison group corresponding to the mark temperature as a connection comparison group;
AA4, connecting all the connection comparison groups, and selecting the area with the largest area formed by connection as a temperature measuring area;
obtaining temperature values of all pixel points in the color image in sequence by utilizing a neural network simulation algorithm through obtaining the temperature values of the pixel points at the central position of the color image;
the neural network simulation algorithm is specifically represented by a formula
Obtaining a temperature value T of a pixel point at the central position, wherein kappa is the polar coordinate of the pixel point at the central position of the color image, Tkappa is the pixel point temperature value corresponding to the current polar coordinate, lambda is the wavelength in temperature measurement calculation, E is the spectral radiance, and CπThe current radiation parameter and phi are preset parameters;
in the passing of formula
Obtaining a temperature value Ti of any pixel point, wherein kappa i is any coordinate under the current polar coordinate;
step four: calculating the effective average temperature value in the temperature measuring area by normal distribution, specifically Q1, according to the formula U (T) AeB/TAnd T is the absolute zero under the standard condition to obtainCalculating a specific numerical value of the parameter A, wherein B is a preset proportionality coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
q3, substituting the temperature values corresponding to the pixel units in the temperature measuring area into the regression formula U (Tii) ═ AeB/TiThe average temperature value U (Tii) of the measured object is obtained, and the temperature value corresponding to the pixel unit in the temperature measuring area is Ti.
Step five: transmitting the effective temperature average value to a database, and matching the effective temperature average value with a standard data value stored in the database to obtain a display temperature value, specifically, firstly, obtaining a display temperature value through a formula
Error processing is carried out on the temperature average value U (Tii) and an error-removed temperature value Tt is obtained, wherein
A correction factor; comparing by formula (Tt + delta) -Bix, when the result is less than 0.01, the temperature value is equal to Bix, where delta is the correction coefficient and Bix is the standard data value; the database is an off-line database and is stored in the memory;
the invention is implemented as follows: the method comprises the steps of adding an infrared lens to one end of a temperature component, measuring the temperature in an effective range (the effective range is 60CM furthest), collecting a measurement picture and temperature information in a measurement area through the temperature component, dividing the measurement picture into a plurality of pixel units, selecting the pixel units with the temperature difference value exceeding LMAX between the adjacent pixel units as target pixel unit points, sequentially connecting the target pixel unit points, selecting the area with the largest connection area as a temperature measurement area, calculating the effective average temperature value in the temperature measurement area, matching the average temperature value with a standard data value stored in a database, and finally outputting a display temperature value.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The specific meanings of the above terms in the present invention can be understood in specific cases by those skilled in the art; the preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A temperature measurement method for increasing distance through an infrared lens is characterized by comprising the following steps:
the method comprises the following steps: an infrared lens (1) is additionally arranged on one side surface of the temperature component;
step two: the temperature component collects measurement pictures and temperature information in the measurement area;
step three: dividing a measurement picture into a plurality of pixel units, selecting the pixel units with the temperature difference value exceeding L MAX between the adjacent pixel units as target pixel unit points, sequentially connecting the target pixel unit points, and selecting the area with the largest connecting area as a temperature measurement area;
step four: calculating an effective temperature average value in the temperature measuring area in a normal distribution mode, wherein the specific method for calculating the effective temperature average value in the temperature measuring area in the normal distribution mode comprises the following steps:
q1 given by the formula U (T) AeB/TT is absolute zero under standard conditions, and a specific numerical value of the operation parameter A is obtained, wherein B is a preset proportionality coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
q3, substituting the temperature values corresponding to the pixel units in the temperature measuring area into the regression formula U (Tii) ═ AeB/TiThe average temperature value U (Tii) of the measured object is obtained, and the temperature value corresponding to the pixel unit in the temperature measuring area is Ti
Step five: the step of transmitting the average temperature value to a database, and matching the average temperature value with a standard data value stored in the database to obtain a displayed temperature value specifically comprises the following steps:
first pass formula
The average value U (Tii) is processed by error elimination to obtain an error eliminated temperature value Tt
A correction factor;
when the result is less than 0.01, the displayed temperature value is equal to Bix by comparison with the formula (Tt + δ) -Bix, where δ is the correction coefficient and Bix is the standard data value.
2. The method according to claim 1, wherein the acquiring of the temperature measurement area further comprises:
AA1 selecting adjacent pixel units as contrast groups; the comparison group is provided with N groups;
AA2, reading the temperature values corresponding to the pixel units in the comparison group and adding the temperature values corresponding to the pixel units in the comparison group to obtain a group simulation temperature value;
AA3, arranging the group mimicry temperature values according to the value, selecting the group mimicry temperature value exceeding TMAX as a mark temperature, and selecting a corresponding comparison group corresponding to the mark temperature as a connection comparison group;
AA4, connecting all the connection comparison groups, and selecting the area with the largest area surrounded by the connection as a temperature measuring area.
3. The temperature measurement method for increasing the distance through the infrared lens according to claim 1, wherein in the second step, the collecting of the measurement picture and the temperature information in the measurement area by the temperature component specifically includes: the temperature component acquires a measurement picture and temperature in the measurement area through the image acquisition unit and the temperature detection unit, wherein the image acquisition unit is used for acquiring a color image of the object to be measured.
4. The method as claimed in claim 3, wherein the temperature detecting unit is configured to detect an initial reference temperature value of the dut;
the temperature component also comprises a data acquisition and analysis unit which is mutually communicated with the image acquisition unit and the temperature detection unit respectively;
and the data acquisition and analysis unit is used for respectively receiving the color image and the initial reference temperature value and calculating to obtain the temperature value of the pixel point at the central position of the color image.
5. The method according to claim 1, wherein in the third step, the measurement picture is divided into a plurality of pixel units, the pixel units with the temperature difference value exceeding lmax between adjacent pixel units are selected as target pixel unit points, the target pixel unit points are sequentially connected, and in the process of selecting the area with the largest connection area as the temperature measurement area, the method for obtaining the temperature values of the pixel points specifically comprises obtaining the temperature values of the pixel points at the center position of the color image and sequentially obtaining the temperature values of all the pixel points in the color image by using a neural network simulation algorithm.
6. The method as claimed in claim 4, wherein the data collection and analysis unit separates the color image according to three primary colors by the separation module to obtain three monochromatic color images, and counts the gray distribution of the three monochromatic color images.
7. The method as claimed in claim 5, wherein the neural network simulation algorithm is a formula
Obtaining a temperature value T of a pixel point at the central position, wherein kappa is the polar coordinate of the pixel point at the central position of the color image, Tkappa is the pixel point temperature value corresponding to the current polar coordinate, lambda is the wavelength in temperature measurement calculation, E is the spectral radiance, and CπThe current radiation parameter and phi are preset parameters;
in the passing of formula
And obtaining the temperature value Ti of any pixel point, wherein kappa i is any coordinate under the current polar coordinate.
8. The method as claimed in claim 1, wherein the database is an off-line database stored in a memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011562455.4A CN112729565B (en) | 2020-12-25 | 2020-12-25 | Temperature measurement method for increasing distance through infrared lens |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011562455.4A CN112729565B (en) | 2020-12-25 | 2020-12-25 | Temperature measurement method for increasing distance through infrared lens |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112729565A CN112729565A (en) | 2021-04-30 |
| CN112729565B true CN112729565B (en) | 2022-06-03 |
Family
ID=75616636
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011562455.4A Active CN112729565B (en) | 2020-12-25 | 2020-12-25 | Temperature measurement method for increasing distance through infrared lens |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112729565B (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109416284A (en) * | 2016-06-30 | 2019-03-01 | 罗伯特·博世有限公司 | Method and Infrared Measuring System for non-contact type temperature |
| CN111339951A (en) * | 2020-02-26 | 2020-06-26 | 北京迈格威科技有限公司 | Body temperature measuring method, device and system |
| CN111920391A (en) * | 2020-06-23 | 2020-11-13 | 联想(北京)有限公司 | Temperature measuring method and equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6690092B2 (en) * | 2016-07-27 | 2020-04-28 | 富士通株式会社 | Heat source detection device, heat source detection method, and heat source detection program |
| US20200146557A1 (en) * | 2018-11-09 | 2020-05-14 | Electrical and Mechanical Services Department, The Government of the Hong Kong Special Administrativ | Smart Body Temperature Screening System at Controlled Area |
| CN111426393B (en) * | 2020-04-07 | 2021-11-16 | 北京迈格威科技有限公司 | Temperature correction method, device and system |
-
2020
- 2020-12-25 CN CN202011562455.4A patent/CN112729565B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109416284A (en) * | 2016-06-30 | 2019-03-01 | 罗伯特·博世有限公司 | Method and Infrared Measuring System for non-contact type temperature |
| CN111339951A (en) * | 2020-02-26 | 2020-06-26 | 北京迈格威科技有限公司 | Body temperature measuring method, device and system |
| CN111920391A (en) * | 2020-06-23 | 2020-11-13 | 联想(北京)有限公司 | Temperature measuring method and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112729565A (en) | 2021-04-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021196360A1 (en) | Temperature measurement method and system | |
| CN102538983B (en) | CCD (Charge Coupled Device) temperature measuring device | |
| CN113358231B (en) | Infrared temperature measurement method, device and equipment | |
| CN107588854B (en) | High precision measuring temperature method based on built-in reference body | |
| CN104729718B (en) | A kind of processing system and method for infrared imaging system NETD | |
| CN110879080A (en) | High-precision intelligent measuring instrument and measuring method for high-temperature forge piece | |
| CN107907222B (en) | A kind of thermal infrared imaging electric power facility fault locator and detection method | |
| CN112434598A (en) | Non-contact body temperature measuring method and system | |
| CN112504463A (en) | Temperature measurement system and temperature measurement method thereof | |
| CN112067139A (en) | Thermal imaging temperature measuring device and thermal imaging temperature measuring method | |
| CN106441808A (en) | Thermal infrared hyperspectral imager blind pixel detection device and method | |
| CN109060731B (en) | Device and method for testing spectral transmittance of infrared optical system | |
| CN111854964A (en) | Method and device for measuring body temperature, temperature measuring tool and storage medium | |
| CN113218512A (en) | Infrared thermometer capable of accurately aiming | |
| CN111964790A (en) | Temperature calibration method and infrared temperature measuring device | |
| CN112729565B (en) | Temperature measurement method for increasing distance through infrared lens | |
| CN102589415A (en) | Metering type digital image plane equal thickness interferometer and method for measuring flatness of object surface by employing the same | |
| CN110160660A (en) | High-temperature component Multi spectral thermometry method and system based on light-field camera | |
| CN108163223B (en) | Portable aircraft infrared stealth performance evaluation device and method | |
| CN114235157A (en) | Thermal infrared imager with TOF sensor | |
| CN212207082U (en) | Front-end imaging unit and multispectral monitoring system | |
| CN110174351B (en) | Color measuring device and method | |
| RU2692970C2 (en) | Method of calibration of video sensors of the multispectral system of technical vision | |
| CN221037692U (en) | Thermal imaging vision system | |
| CN112665734B (en) | Temperature measurement method and device based on reference calibration |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |