CN111442850B - Infrared temperature measurement camera calibration method - Google Patents
Infrared temperature measurement camera calibration method Download PDFInfo
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- CN111442850B CN111442850B CN202010475138.2A CN202010475138A CN111442850B CN 111442850 B CN111442850 B CN 111442850B CN 202010475138 A CN202010475138 A CN 202010475138A CN 111442850 B CN111442850 B CN 111442850B
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- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 17
- 238000001514 detection method Methods 0.000 claims abstract description 43
- 238000004861 thermometry Methods 0.000 claims description 9
- 238000005485 electric heating Methods 0.000 claims description 5
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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
- G01J5/52—Radiation pyrometry, e.g. infrared or optical thermometry using comparison with reference sources, e.g. disappearing-filament pyrometer
- G01J5/53—Reference sources, e.g. standard lamps; Black bodies
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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
- G01J5/80—Calibration
Abstract
The invention discloses a method for calibrating an infrared temperature measurement camera, which comprises the following steps: and detecting the distance between the relative point and the base point relative to the camera, comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain the error distance temperature, calculating the average error distance temperature according to the error distance temperature, and adding the average error distance temperature and the temperature of the camera in the detection area to obtain the accurate temperature of the detection area. The calibration method of the infrared temperature measurement camera comprises the steps of randomly selecting a point in the detection range of the camera, comparing the temperature tea parameter of the camera with the temperature parameter of a heat source, more accurately detecting the error range when the camera detects the point, facilitating later adjustment, randomly selecting a point relative point, comparing the two points, and adjusting the detection precision of the camera in the range according to the comparison result, so that the detection precision of the camera in the detection range is ensured.
Description
Technical Field
The invention relates to the field of infrared temperature measurement cameras, in particular to a calibration method of an infrared temperature measurement camera.
Background
The infrared temperature measurement camera is a device for detecting the temperature distribution around the device, but with the development of science and technology, the requirements of people on a horizontal adjusting device are higher and higher, so that the traditional horizontal adjusting device cannot meet the use requirements of people;
the existing calibration method for the infrared temperature measurement camera mainly comprises the steps that after the infrared temperature measurement camera measures the temperature of each object, the temperature measurement device is used manually to accurately measure the temperature of the object and compare the measured temperature with the temperature detected by the camera, so that the error between the temperature detected by the camera and the actual object temperature is detected, but the object temperature is greatly influenced by environmental factors, so that the detection result is easy to have an error, and meanwhile, the method only can detect the error of the camera at each specific distance and at each specific temperature, so that the detected temperature result has no universality.
Disclosure of Invention
The invention mainly aims to provide a calibration method of an infrared temperature measurement camera, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a method for calibrating an infrared temperature measurement camera comprises the following steps:
the method comprises the following steps: randomly selecting a point in the detection range of the camera as a basic point, and placing a heat source at the point;
step two: controlling the temperature rise of a heat source, and recording temperature parameters of a camera and the heat source;
step three: comparing the temperature parameter of the camera with the temperature parameter of the heat source to obtain an error range;
step four: calculating the average error temperature in the temperature range between the adjacent time nodes according to the error range obtained in the step three;
step five: adding the average error temperature obtained in the step four and the temperature of the camera within the error range to obtain the accurate temperature of the basic point;
step six: randomly selecting a point again to be used as a relative point, and repeating the steps from the second step to the fifth step to obtain the accurate temperature of the relative point;
step seven: detecting the distance between the relative point and the base point relative to the camera, and comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain an error distance temperature;
step eight: and calculating the average error distance temperature according to the error distance temperature in the step seven, and adding the average error distance temperature and the temperature of the camera in the detection area to obtain the accurate temperature of the detection area.
Preferably, in the first step, the heat source is an electric heating wire, and after the heat source is placed, the distance between the heat source and the camera is detected through a distance meter.
Preferably, in the second step, the temperature parameters include time nodes and the temperature at the time nodes, the operation is stopped when the temperature of the heat source is constant, a temperature change graph is drawn, the temperature of the heat source is detected by a thermometer, and the time interval between the time nodes is 0.5-3 s.
Preferably, in the third step, when the temperature parameters are compared, the difference between the temperature and the heat source temperature is detected by the camera at each time node.
Preferably, in the fourth step, the average error temperature is obtained by subtracting the sum of the camera temperatures between the adjacent time nodes from the sum of the heat source temperatures between the adjacent time nodes, and then dividing by the interval time between the adjacent time nodes.
Preferably, in the sixth step, when the relative point is selected, a circle which takes the camera as a center of a circle and takes the distance between the camera and the base point as a radius cannot be selected.
Preferably, in step eight, the average error distance temperature is obtained by subtracting the base point accurate temperature from the relative point accurate temperature at each time and dividing by the distance between the relative point and the base point.
Preferably, in the step eight, the detection area is an arc area in which a connecting line between the opposite point and the base point slides out in the detection range of the camera, taking the camera as a circle center, and the arc area is the detection area.
Compared with the prior art, the invention has the following beneficial effects:
firstly, by randomly selecting a point in the detection range of the camera and comparing the temperature tea parameter of the camera with the temperature parameter of the heat source, the error range of the camera when detecting the point can be more accurately detected, and later adjustment is facilitated;
secondly, calculating the average error temperature by calculating the temperature range between adjacent time nodes, and then adding the average error temperature and the temperature of the camera within the error range, thereby ensuring the detection precision of the camera within the range;
and thirdly, randomly selecting a point relative point, comparing the point relative point with the point relative point, and adjusting the detection precision of the camera in the range according to the comparison result, thereby ensuring the detection precision of the camera in the detection range.
Drawings
FIG. 1 is a flowchart of the overall structure of a calibration method for an infrared temperature measurement camera according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Comparative example
After the infrared temperature measurement camera measures the temperature of each object, the temperature measurement device is manually used for accurately measuring the temperature of the object, the measured temperature is compared with the temperature detected by the camera to obtain the error temperature between the measured temperature of the camera and the actual object temperature, and the measured temperature of the camera is adjusted upwards to obtain the corresponding error temperature.
Example 1
As shown in fig. 1, a method for calibrating an infrared thermometry camera includes the following steps:
the method comprises the following steps: randomly selecting a point in the detection range of the camera as a basic point, placing a heat source at the point, wherein the heat source is an electric heating wire, and detecting the distance between the heat source and the camera through a distance meter after the heat source is placed;
step two: controlling the temperature rise of a heat source, recording temperature parameters of a camera and the heat source, wherein the temperature parameters comprise a time node and the temperature at the time node, stopping when the temperature of the heat source is constant, drawing a temperature change graph, detecting the temperature of the heat source through a thermometer, and setting the time interval between the time nodes to be 1 s;
step three: comparing the temperature parameter of the camera with the temperature parameter of the heat source to obtain an error range, and detecting the difference value between the temperature and the temperature of the heat source by the camera at each time node during the temperature parameter comparison;
step four: calculating the average error temperature in the temperature range between the adjacent time nodes according to the error range obtained in the third step, wherein the average error temperature is obtained by subtracting the sum of the temperatures of the cameras between the adjacent time nodes from the sum of the temperatures of the heat sources between the adjacent time nodes and then dividing the sum by the interval time between the adjacent time nodes;
step five: adding the average error temperature obtained in the step four and the temperature of the camera within the error range to obtain the accurate temperature of the basic point;
step six: randomly selecting a point again to serve as a relative point, wherein when the relative point is selected, a circle which takes the camera as the center of a circle and the distance between the camera and the basic point as the radius cannot be selected, and repeating the second step to the fifth step to obtain the accurate temperature of the relative point;
step seven: detecting the distance between the relative point and the base point relative to the camera, and comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain an error distance temperature;
step eight: and calculating the average error distance temperature according to the error distance temperature in the step seven, wherein the average error distance temperature is obtained by subtracting the accurate temperature of the basic point from the accurate temperature of the relative point at each moment, dividing the obtained result by the distance between the relative point and the basic point, and adding the obtained result with the temperature of the camera in the detection area, and the detection area is an arc area in which the connecting line between the relative point and the basic point slides out in the detection range of the camera by taking the camera as the center of a circle, namely the detection.
Example 2
As shown in fig. 1, a method for calibrating an infrared thermometry camera includes the following steps:
the method comprises the following steps: randomly selecting a point in the detection range of the camera as a basic point, placing a heat source at the point, wherein the heat source is an electric heating wire, and detecting the distance between the heat source and the camera through a distance meter after the heat source is placed;
step two: controlling the temperature rise of a heat source, recording temperature parameters of a camera and the heat source, wherein the temperature parameters comprise a time node and the temperature at the time node, stopping when the temperature of the heat source is constant, drawing a temperature change graph, detecting the temperature of the heat source through a thermometer, and setting the time interval between the time nodes to be 1.5 s;
step three: comparing the temperature parameter of the camera with the temperature parameter of the heat source to obtain an error range, and detecting the difference value between the temperature and the temperature of the heat source by the camera at each time node during the temperature parameter comparison;
step four: calculating the average error temperature in the temperature range between the adjacent time nodes according to the error range obtained in the third step, wherein the average error temperature is obtained by subtracting the sum of the temperatures of the cameras between the adjacent time nodes from the sum of the temperatures of the heat sources between the adjacent time nodes and then dividing the sum by the interval time between the adjacent time nodes;
step five: adding the average error temperature obtained in the step four and the temperature of the camera within the error range to obtain the accurate temperature of the basic point;
step six: randomly selecting a point again to serve as a relative point, wherein when the relative point is selected, a circle which takes the camera as the center of a circle and the distance between the camera and the basic point as the radius cannot be selected, and repeating the second step to the fifth step to obtain the accurate temperature of the relative point;
step seven: detecting the distance between the relative point and the base point relative to the camera, and comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain an error distance temperature; step eight: and calculating the average error distance temperature according to the error distance temperature in the step seven, wherein the average error distance temperature is obtained by subtracting the accurate temperature of the basic point from the accurate temperature of the relative point at each moment, dividing the obtained result by the distance between the relative point and the basic point, and adding the obtained result with the temperature of the camera in the detection area, and the detection area is an arc area in which the connecting line between the relative point and the basic point slides out in the detection range of the camera by taking the camera as the center of a circle, namely the detection.
Example 3
As shown in fig. 1, a method for calibrating an infrared thermometry camera includes the following steps:
the method comprises the following steps: randomly selecting a point in the detection range of the camera as a basic point, placing a heat source at the point, wherein the heat source is an electric heating wire, and detecting the distance between the heat source and the camera through a distance meter after the heat source is placed;
step two: controlling the temperature rise of a heat source, recording temperature parameters of a camera and the heat source, wherein the temperature parameters comprise a time node and the temperature at the time node, stopping when the temperature of the heat source is constant, drawing a temperature change graph, detecting the temperature of the heat source through a thermometer, and setting the time interval between the time nodes to be 2 s;
step three: comparing the temperature parameter of the camera with the temperature parameter of the heat source to obtain an error range, and detecting the difference value between the temperature and the temperature of the heat source by the camera at each time node during the temperature parameter comparison;
step four: calculating the average error temperature in the temperature range between the adjacent time nodes according to the error range obtained in the third step, wherein the average error temperature is obtained by subtracting the sum of the temperatures of the cameras between the adjacent time nodes from the sum of the temperatures of the heat sources between the adjacent time nodes and then dividing the sum by the interval time between the adjacent time nodes;
step five: adding the average error temperature obtained in the step four and the temperature of the camera within the error range to obtain the accurate temperature of the basic point;
step six: randomly selecting a point again to serve as a relative point, wherein when the relative point is selected, a circle which takes the camera as the center of a circle and the distance between the camera and the basic point as the radius cannot be selected, and repeating the second step to the fifth step to obtain the accurate temperature of the relative point;
step seven: detecting the distance between the relative point and the base point relative to the camera, and comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain an error distance temperature; step eight: and calculating the average error distance temperature according to the error distance temperature in the step seven, wherein the average error distance temperature is obtained by subtracting the accurate temperature of the basic point from the accurate temperature of the relative point at each moment, dividing the obtained result by the distance between the relative point and the basic point, and adding the obtained result with the temperature of the camera in the detection area, and the detection area is an arc area in which the connecting line between the relative point and the basic point slides out in the detection range of the camera by taking the camera as the center of a circle, namely the detection.
In table 1, the comparative example and examples 1 to 3 are single variables, the positions of 1m heat sources are detected by cameras at the same positions at time intervals between different time nodes, the detection temperatures and times of the heat sources at 50 ℃, 60 ℃ and 70 ℃ are detected, and the temperatures detected by the cameras are as follows:
TABLE 1
As can be seen from the experimental data in Table 1, the calibration method of the infrared temperature measurement camera of the invention, comparing with the comparative example by observing example 1, can find that the detection temperature of the invention is closest to the temperature of the real heat source, the camera is calibrated by the existing calibration method, the detected temperature is higher than the actual heat source temperature, because the calibration method proposed by the comparative example only carries out calibration at a certain time and a certain temperature, the method has certain limitation on the calibration of the temperature, so that a detection range has larger error, among them, by the embodiments 1 to 3, it can be seen that by shortening the time interval, the accuracy of detection is also continuously increased, this is because the detected data increases, and the temperature detected by the camera plus the average error temperature also approaches the true temperature of the heat source, and it can be seen from table 1 that embodiment 2 is the most preferable choice.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A calibration method for an infrared temperature measurement camera is characterized by comprising the following steps:
the method comprises the following steps: randomly selecting a point in the detection range of the camera as a basic point, and placing a heat source at the point;
step two: controlling the temperature rise of a heat source, and recording temperature parameters of a camera and the heat source;
step three: comparing the temperature parameter of the camera with the temperature parameter of the heat source to obtain an error range;
step four: calculating the average error temperature in the temperature range between the adjacent time nodes according to the error range obtained in the step three;
step five: adding the average error temperature obtained in the step four and the temperature of the camera within the error range to obtain the accurate temperature of the basic point;
step six: randomly selecting a point again to be used as a relative point, and repeating the steps from the second step to the fifth step to obtain the accurate temperature of the relative point;
step seven: detecting the distance between the relative point and the base point relative to the camera, and comparing the distance, the accurate temperature of the base point and the accurate temperature of the relative point to obtain an error distance temperature;
step eight: and seventhly, calculating an average error distance temperature according to the error distance temperature in the step seven, and adding the average error distance temperature and the temperature of the camera in the detection area to obtain an accurate temperature of the detection area, wherein the average error distance temperature is obtained by subtracting the accurate temperature of the basic point from the accurate temperature of the relative point at each moment and dividing the obtained accurate temperature by the distance between the relative point and the basic point.
2. The method for calibrating an infrared thermometry camera according to claim 1, wherein: in the first step, the heating source is an electric heating wire, and after the heating source is placed, the distance between the heating source and the camera is detected through a distance meter.
3. The method for calibrating an infrared thermometry camera according to claim 1, wherein: and in the second step, the temperature parameters comprise time nodes and the temperature at the time nodes, the operation is stopped when the temperature of the heat source is constant, a temperature change graph is drawn, the temperature of the heat source is detected by a thermometer, and the time interval between the time nodes is 0.5-3 s.
4. The method for calibrating an infrared thermometry camera according to claim 3, wherein: in the third step, when the temperature parameters are compared, the difference value between the temperature and the heat source temperature is detected by the camera at each time node.
5. The method for calibrating an infrared thermometry camera according to claim 1, wherein: in step four, the average error temperature is obtained by subtracting the sum of the camera temperatures between the adjacent time nodes from the sum of the heat source temperatures between the adjacent time nodes, and then dividing by the interval time between the adjacent time nodes.
6. The method for calibrating an infrared thermometry camera according to claim 1, wherein: in the sixth step, when the relative point is selected, a circle which takes the camera as the center of a circle and the distance between the camera and the basic point as the radius cannot be selected.
7. The method for calibrating an infrared thermometry camera according to claim 1, wherein: and step eight, the detection area is an arc area in which the connecting line between the opposite point and the basic point slides out in the detection range of the camera by taking the camera as the center of a circle, and the arc area is the detection area.
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