CN112729565A - Temperature measurement method for increasing distance through infrared lens - Google Patents
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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 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.
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, infrared thermometers at home and abroad are designed according to the heat radiation rule of an ideal black body model uniformly, 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 of forced verification in measuring methods of various countries in the world. However, we face the problems of: 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 traditional 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 searched, the radiance correction which is difficult to solve for a long time is encountered, and the actual temperature value is difficult to obtain; most of the current instruments for temperature detection are short-distance detection.
Disclosure of Invention
The invention aims to provide a temperature measurement method for increasing distance through an infrared lens, which 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.
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 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 mimicry temperature values according to the value, selecting the mimicry temperature value exceeding TMAX as the mark temperature, and selecting the corresponding comparison group corresponding to the mark temperature as the 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, obtaining a specific numerical value of the operation parameter A through a formula U (T) AeB/T, wherein T is absolute zero under a standard condition, and B is a preset proportionality coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
and Q3, substituting the temperature values corresponding to the pixel units in the temperature measuring area into a regression formula U (Tii) ═ AeB/Ti to obtain the average temperature value U (Tii) of the measured object, wherein the temperature values corresponding to the pixel units in the temperature measuring area are 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; by the formula (Tt + delta) -Bix, comparing, and when the result is less than 0.01, determining Bix as the display temperature value, wherein delta is a correction coefficient, and Bix is a standard data value.
Further, in the second step, the step of collecting 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 the area with the largest connecting area is selected as a temperature measuring area.
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 imageTk 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, 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 offline 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.
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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 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 mimicry temperature value exceeding TMAX 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 surrounded by the 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 specificallyEquation of 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 an effective temperature average value in a temperature measuring area in a normal distribution mode, specifically Q1, namely obtaining a specific numerical value of an operation parameter A by a formula U (T) of AeB/T, wherein T is absolute zero under a standard condition, and B is a preset proportional coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
and Q3, substituting the temperature values corresponding to the pixel units in the temperature measuring area into a regression formula U (Tii) ═ AeB/Ti to obtain the average temperature value U (Tii) of the measured object, wherein the temperature values corresponding to the pixel units in the temperature measuring area are 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 the data by a formula (Tt + delta) -Bix, wherein when the result is less than 0.01, Bix is a display temperature value, delta is a correction coefficient, and Bix is a 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 (9)
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: 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 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, 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 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 mimicry temperature values according to the value, selecting the mimicry temperature value exceeding TMAX as the mark temperature, and selecting the corresponding comparison group corresponding to the mark temperature as the 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.
2. The temperature measurement method for increasing the distance through the infrared lens according to claim 1, wherein the specific method for calculating the average effective temperature value in the temperature measurement area in a normal distribution manner is as follows:
q1, obtaining a specific numerical value of the operation parameter A through a formula U (T) AeB/T, wherein T is absolute zero under a standard condition, and B is a preset proportionality coefficient;
q2, carrying out narrow-band or wide-band working band calibration;
and Q3, substituting the temperature values corresponding to the pixel units in the temperature measuring area into a regression formula U (Tii) ═ AeB/Ti to obtain the average temperature value U (Tii) of the measured object, wherein the temperature values corresponding to the pixel units in the temperature measuring area are Ti.
3. The method as claimed in claim 1, wherein 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 by a formula
The average value U (Tii) is processed by error elimination to obtain an error eliminated temperature value Tt
A correction factor; comparing the data with a formula (Tt + delta) -Bix, wherein the result is less than 0.01, the value Bix is a display temperature value, delta is a correction coefficient, and Bix is a standard data value.
4. 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.
5. The method as claimed in claim 4, 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.
6. 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 L MAX between adjacent pixel units are selected as target pixel unit points, the target pixel unit points are sequentially connected, and the area with the largest connection area is selected as the temperature measurement area.
7. The method as claimed in claim 5, 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.
8. The method as claimed in claim 6, wherein the neural network simulation algorithm is 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, 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.
9. The method as claimed in claim 1, wherein the database is an off-line database stored in a memory.
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| CN111920391A (en) * | 2020-06-23 | 2020-11-13 | 联想(北京)有限公司 | Temperature measuring method and equipment |
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| 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 |
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