CN111198041A - Device and method for multi-dimensional non-contact high-precision detection of target temperature - Google Patents
Device and method for multi-dimensional non-contact high-precision detection of target temperature Download PDFInfo
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- CN111198041A CN111198041A CN202010147220.2A CN202010147220A CN111198041A CN 111198041 A CN111198041 A CN 111198041A CN 202010147220 A CN202010147220 A CN 202010147220A CN 111198041 A CN111198041 A CN 111198041A
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- 238000000034 method Methods 0.000 title claims description 19
- 238000001514 detection method Methods 0.000 title claims description 8
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 42
- 238000005259 measurement Methods 0.000 claims description 34
- 238000004861 thermometry Methods 0.000 claims description 5
- 238000003384 imaging method Methods 0.000 abstract description 2
- 238000001931 thermography Methods 0.000 abstract 1
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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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
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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
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Abstract
The invention discloses a device for detecting target temperature in a multi-dimensional non-contact type with high precision, which comprises at least two temperature sensors and a central control module, wherein the central control module is electrically connected with the at least two temperature sensors, and calculates and outputs a test result after collaborating and analyzing data measured by the temperature sensor modules; the invention adopts a plurality of temperature sensor modules to measure the temperature of a target together, and utilizes the imaging principle of an infrared image to convert parameters in the image into influencing factors influencing the temperature calculation principle, thereby automatically calibrating the temperature measurement result, automatically calibrating according to the condition of a sensing target without externally accessing a correction source, and directly utilizing a distance sensor to solve the problem of distance compensation in a thermal imaging temperature measurement product.
Description
Technical Field
The invention belongs to the field of temperature measurement, and particularly relates to a device and a method for multi-dimensional non-contact high-precision target temperature detection.
Background
Currently, many thermometers measure a target based on the results of the same temperature sensor, which results in unreliable results due to the differences and uncertainties in the values between different temperature sensors.
Disclosure of Invention
The invention aims to provide a device and a method for detecting target temperature in a multi-dimensional non-contact high-precision mode so as to solve the problem that the temperature measurement result is unreliable.
The invention discloses a method for detecting target temperature in a multi-dimensional non-contact high-precision manner, which comprises the following steps:
at least two temperature sensors detect the object and transmit measurement data;
and based on the measurement data of each temperature sensor, extracting the measurement data of at least one temperature sensor as basic data, calibrating the temperature measurement values of the other one or more temperature sensors, and outputting a final output target temperature value.
The invention discloses a method for detecting target temperature in a multidimensional non-contact high-precision manner, which is characterized by comprising the following steps of:
one or more temperature sensors detect the object and send test data;
detecting the distance between the temperature sensor and an object to be detected through one or more distance sensors to obtain distance parameters and distance parameters;
and calibrating the temperature measurement value of the temperature sensor by using the distance parameter based on the measurement data of each temperature sensor and each distance sensor, and outputting a final output target temperature value.
Further, based on the measurement data of each temperature sensor, a thermal infrared temperature measurement image corresponding to each temperature sensor is processed and obtained.
The measurement data includes:
a) the temperature of one or more thermal infrared thermometry image pixels;
b) a coordinate scale of clustered connected pixel regions above a set temperature;
c) a coordinate scale of clustered connected pixel regions below a set temperature;
d) a coordinate scale of clustered contiguous pixel regions within a temperature range;
e) the overall coordinate scale of all pixels above a certain set temperature;
f) the global coordinate scale of all pixels below a certain set temperature;
g) the global coordinate scale of all pixels within a certain temperature range.
Furthermore, the calibration method performs operation by importing the measurement data into a compensation calculation relationship, which includes, but is not limited to, a table model, a function formula, an array chart, and the like.
Furthermore, the measurement data input by the compensation calculation relationship includes a coordinate size of a thermal infrared thermometry image pixel area obtained by the temperature sensor, and a temperature measurement value, an average value of the temperature measurement values, a maximum value of the temperature measurement values, and a minimum value of the temperature measurement values measured by the temperature sensor.
Further, the measurement data input by the compensation calculation relation includes the temperature measurement values measured by the temperature sensor, the average value of the temperature measurement values, the maximum value of the temperature measurement values, the minimum value of the temperature measurement values, and the distance parameter measured by the distance sensor.
Further, the finally output target temperature value is the temperature of one target or the temperatures of a plurality of targets are output simultaneously.
The utility model provides a device of multidimension degree non-contact high accuracy detection target temperature, includes two or more than two temperature sensor and well accuse module, well accuse module and temperature sensor electric connection to carry out statistics and analysis to temperature sensor's measured data.
A device for detecting target temperature in a multi-dimensional non-contact type high-precision mode comprises one or more temperature sensors, one or more distance sensors and a central control module, wherein the central control module is electrically connected with the temperature sensors and the distance sensors and used for counting and analyzing measurement data of the temperature sensors and the distance sensors.
Has the advantages that:
the invention adopts a plurality of temperature sensors to measure the temperature of a target together, and the parameters in the image are converted into influencing factors influencing the temperature calculation principle through the imaging principle of the infrared image, thereby automatically calibrating the temperature measurement result.
The distance sensor is used for detecting the distance from the temperature sensor to an object to be detected, the measurement data are counted by the central control module on the basis of the data measured by the distance sensor and the temperature sensor, the measurement data are led into a compensation calculation relation, and a target temperature value is accurately and finally output.
Detailed Description
Examples of the present invention are further illustrated below.
The first embodiment is as follows:
a device for detecting target temperature in a multi-dimensional non-contact type high-precision mode comprises two or more temperature sensors and a central control module, wherein the central control module is electrically connected with the temperature sensors, detects an object through at least two temperature sensors and sends measurement data, and the central control module processes and obtains thermal infrared temperature measurement images corresponding to the temperature sensors on the basis of the measurement data of the temperature sensors; the central control module extracts the measurement data of at least one temperature sensor as basic data based on the measurement data of each temperature sensor, calibrates the temperature measurement values of the other one or more temperature sensors, and introduces the measurement data into a compensation calculation relation to finally output a target temperature value.
The measurement data of the temperature sensor includes:
a) the temperature of one or more thermal infrared thermometry pixels;
b) a coordinate scale of clustered connected pixel regions above a set temperature;
c) a coordinate scale of clustered connected pixel regions below a set temperature;
d) a coordinate scale of clustered contiguous pixel regions within a temperature range;
e) the overall coordinate scale of all pixels above a certain set temperature;
f) the global coordinate scale of all pixels below a certain set temperature;
g) the global coordinate scale of all pixels within a certain temperature range.
Wherein the overall coordinate scale of the pixels includes the length and width dimensions of the area and the number of pixels.
And importing data measured by the temperature sensor into a compensation calculation relation, wherein the imported data mainly comprises the coordinate size of an image pixel area obtained by the temperature sensor, a temperature measurement value measured by the temperature sensor, an average value of the temperature measurement values, a maximum value of the temperature measurement values and a minimum value of the temperature measurement values. The coordinate size of the pixel area obtained by one or more temperature sensors and the temperature measurement value, the average value of the temperature measurement values, the maximum value of the temperature measurement values and the minimum value of the temperature measurement values measured by one or more other temperature sensors to be calibrated are led into a compensation calculation relation, and the temperature final output target temperature value of each temperature sensor to be calibrated is obtained.
Example two:
a device for multi-dimensional non-contact high-precision detection of target temperature comprises one or more temperature sensors, one or more distance sensors and a central control module, wherein the central control module is electrically connected with the temperature sensors and the distance sensors, detects an object through the one or more temperature sensors, sends detection data to the central control module, detects the distance between the temperature sensors and the object to be detected through the one or more distance sensors, obtains distance parameters and sends the distance parameters to the central control module; and the central control module imports the measurement data into a compensation calculation relation based on the measurement data of each temperature sensor and each distance sensor and finally outputs a target temperature value.
The measurement data of the temperature sensor includes:
a) the temperature of one or more thermal infrared thermometry pixels;
b) a coordinate scale of clustered connected pixel regions above a set temperature;
c) a coordinate scale of clustered connected pixel regions below a set temperature;
d) a coordinate scale of clustered contiguous pixel regions within a temperature range;
e) the overall coordinate scale of all pixels above a certain set temperature;
f) the global coordinate scale of all pixels below a certain set temperature;
g) the global coordinate scale of all pixels within a certain temperature range.
Wherein the overall coordinate scale of the pixels includes the length and width dimensions of the area and the number of pixels.
The temperature measurement value measured by the temperature sensor, the average value of the temperature measurement values, the maximum value of the temperature measurement values, the minimum value of the temperature measurement values and the distance parameter measured by the distance sensor are led into a compensation calculation relation, and the final output target temperature value of the temperature measured by the temperature sensor is obtained.
EXAMPLE III
The introduced compensation calculation relation includes modes such as but not limited to table model, function formula, array chart and the like.
The target temperature value finally output by the temperature control device can be the temperature of one target or the temperatures of a plurality of targets simultaneously output.
The embodiments of the present invention have been described in detail, but the embodiments are merely examples, and the present invention is not limited to the above-described embodiments. Any equivalent modifications and substitutions to those skilled in the art are also within the scope of the present invention; accordingly, all equivalent changes and modifications within the scope of the present invention can be made without departing from the spirit and scope of the present invention.
Claims (10)
1. A method for detecting target temperature in a multi-dimensional non-contact high-precision mode is characterized by comprising the following steps:
at least two temperature sensors detect the object and transmit measurement data;
and based on the measurement data of each temperature sensor, extracting the measurement data of at least one temperature sensor as basic data, calibrating the temperature measurement values of the other one or more temperature sensors, and outputting a final output target temperature value.
2. The method for detecting the temperature of the target in a multi-dimensional non-contact high-precision manner is characterized by comprising the following steps of:
one or more temperature sensors detect the object and send test data;
detecting the distance between the temperature sensor and an object to be detected through one or more distance sensors, and outputting distance parameters;
and calibrating the temperature measurement value of the temperature sensor by using the distance parameter based on the measurement data of each temperature sensor and each distance sensor, and outputting a final output target temperature value.
3. The method according to claim 1 or 2, characterized in that: processing and obtaining a thermal infrared temperature measurement image corresponding to each temperature sensor based on the measurement data of each temperature sensor;
the measurement data includes:
a) the temperature of one or more thermal infrared thermometry pixels;
b) a coordinate scale of clustered connected pixel regions above a set temperature;
c) a coordinate scale of clustered connected pixel regions below a set temperature;
d) a coordinate scale of clustered contiguous pixel regions within a temperature range;
e) the overall coordinate scale of all pixels above a certain set temperature;
f) the global coordinate scale of all pixels below a certain set temperature;
g) the global coordinate scale of all pixels within a certain temperature range.
4. The method according to claim 1 or 2, characterized in that:
the calibration method operates by importing measurement data into a compensation calculation relationship.
5. The method of claim 5, wherein:
the compensation calculation relationship comprises one or more of a table model, a function formula and an array chart.
6. The method of claim 1, wherein: and inputting the measurement data into a compensation calculation relation for calibration, wherein the measurement data input in the compensation calculation relation comprises the coordinate size of a thermal infrared temperature measurement image pixel area obtained by the temperature sensor, and a temperature measurement value measured by the temperature sensor, an average value of the temperature measurement values, a maximum value of the temperature measurement values and a minimum value of the temperature measurement values.
7. The method of claim 2, wherein: and inputting the measurement data into a compensation calculation relation for calibration, wherein the measurement data input in the compensation calculation relation comprises the temperature measurement value measured by the temperature sensor, the average value of the temperature measurement values, the maximum value of the temperature measurement values, the minimum value of the temperature measurement values and the distance parameter measured by the distance sensor.
8. The method according to claim 1 or 2, characterized in that: the finally output target temperature value is the temperature of one target or the temperatures of a plurality of targets are output simultaneously.
9. A device for multi-dimensional non-contact high-precision detection of a target temperature, characterized by performing the method of claim 1: the device comprises two or more temperature sensors and a central control module, wherein the central control module is electrically connected with the temperature sensors and used for counting and analyzing the measurement data of the temperature sensors.
10. A device for multi-dimensional non-contact high-precision detection of a target temperature, characterized by performing the method of claim 2: the device comprises one or more temperature sensors, one or more distance sensors and a central control module, wherein the central control module is electrically connected with the temperature sensors and the distance sensors and used for counting and analyzing the measurement data of the temperature sensors and the distance sensors.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010147220.2A CN111198041A (en) | 2020-03-05 | 2020-03-05 | Device and method for multi-dimensional non-contact high-precision detection of target temperature |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784678A (en) * | 2020-07-03 | 2020-10-16 | 中煤航测遥感集团有限公司 | Temperature acquisition method, device and equipment based on thermal infrared image and storage medium |
| CN112146763A (en) * | 2020-09-23 | 2020-12-29 | 华航高科(北京)技术有限公司 | Temperature measurement method and system based on automatic identification |
| CN114046884A (en) * | 2021-10-28 | 2022-02-15 | 金陵科技学院 | Automatic temperature compensation system of human body infrared temperature measurement gun |
-
2020
- 2020-03-05 CN CN202010147220.2A patent/CN111198041A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784678A (en) * | 2020-07-03 | 2020-10-16 | 中煤航测遥感集团有限公司 | Temperature acquisition method, device and equipment based on thermal infrared image and storage medium |
| CN112146763A (en) * | 2020-09-23 | 2020-12-29 | 华航高科(北京)技术有限公司 | Temperature measurement method and system based on automatic identification |
| CN112146763B (en) * | 2020-09-23 | 2021-09-14 | 华航高科(北京)技术有限公司 | Temperature measurement method and system based on automatic identification |
| CN114046884A (en) * | 2021-10-28 | 2022-02-15 | 金陵科技学院 | Automatic temperature compensation system of human body infrared temperature measurement gun |
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Application publication date: 20200526 |