CN117824840A - Remote zooming infrared temperature measurement method - Google Patents
Remote zooming infrared temperature measurement method Download PDFInfo
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- CN117824840A CN117824840A CN202311579255.3A CN202311579255A CN117824840A CN 117824840 A CN117824840 A CN 117824840A CN 202311579255 A CN202311579255 A CN 202311579255A CN 117824840 A CN117824840 A CN 117824840A
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- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000003062 neural network model Methods 0.000 claims abstract description 9
- 238000001931 thermography Methods 0.000 claims abstract description 5
- 230000007613 environmental effect Effects 0.000 claims abstract description 4
- 238000004861 thermometry Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000005259 measurement Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000005855 radiation Effects 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention discloses a remote zooming infrared temperature measurement method, belongs to the technical field of infrared temperature measurement, and aims to solve the problems of poor accuracy and low precision in the existing monitoring of power equipment by adopting infrared temperature measurement. The invention comprises the following steps: an environmental detector is adopted to collect the atmospheric temperature and the atmospheric humidity; setting standard temperature of a blackbody, acquiring focal plane temperature values of the infrared camera at equal distance intervals along the central direction of the infrared camera, and recording the zoom number of the infrared camera when the standard source blackbody occupies 2/3 of a thermal imaging picture; and inputting the atmospheric temperature, the atmospheric humidity, the standard temperature, the focal plane temperature value and the variable-magnification number into a neural network model for nonlinear fitting, and outputting a temperature measurement result. The invention is used for remotely measuring the temperature of the power system.
Description
Technical Field
The invention relates to a remote zooming infrared temperature measurement method, and belongs to the technical field of infrared temperature measurement.
Background
With the development of unattended intelligent power systems, most of operation and maintenance of the power systems adopt an unattended mode. Because the power equipment can produce the energy loss when working at work or breaking down for self temperature rise, when the temperature is higher than normal value scope, there is the potential safety hazard in power equipment on the one hand, and then influences the stability of electric wire netting, on the other hand can reduce its life. Thus, monitoring of the electrical equipment may be achieved by monitoring the temperature.
The existing infrared temperature measurement method comprises a contact type temperature measurement method and a non-contact type temperature measurement method, and the contact type infrared temperature measurement method is simple, but has the problems of small measurement distance, small measurement range and low measurement precision.
Although the non-contact infrared temperature measurement method can solve the problems existing in the contact infrared temperature measurement method to a certain extent, the following problems still exist:
for example, patent CN114136451a discloses an infrared wide area temperature measurement system in a low temperature environment, patent CN111272290B discloses a temperature measurement infrared thermal imager calibration method and device based on a deep neural network, and the common problem of both is that blackbody temperature measurement is performed in a laboratory environment, and the influence of real environment temperature, humidity and wind speed is not considered;
for another example, patent CN113267258B discloses an infrared temperature measuring method, device, equipment, intelligent inspection robot and storage medium, which has the problems that only conventional factors such as real environment temperature, atmospheric humidity and the like are considered, and the temperature measuring precision is low;
for another example, patent CN114993477a discloses a high-precision handheld temperature measuring device with temperature calibration and a use method, which have the following problems: conventional factors such as real environment temperature, atmospheric humidity and the like are not considered;
patent CN115824425a discloses a remote temperature detection method and a thermometer, which have the following problems: the furthest temperature measurement distance is only 30 meters, and the precision error is larger.
Therefore, in practical application, the infrared temperature measurement is adopted to monitor and diagnose the power equipment, and because the infrared radiation signal is interfered by various factors such as field environment, the accuracy is often not guaranteed, and the accuracy error is also larger.
Disclosure of Invention
The invention aims to solve the problems of poor accuracy and low precision in the existing monitoring of power equipment by adopting infrared temperature measurement, and provides a remote zooming infrared temperature measurement method.
The invention relates to a remote zooming infrared temperature measurement method, which comprises the following steps:
s1, acquiring the atmospheric temperature and the atmospheric humidity by adopting an environment detector;
s2, setting standard temperature of a blackbody, acquiring focal plane temperature values of the infrared camera at equal distance intervals along the central direction of the infrared camera, and recording the zoom number of the infrared camera when the standard source blackbody occupies 2/3 of a thermal imaging picture;
s3, inputting the atmospheric temperature, the atmospheric humidity, the standard temperature, the focal plane temperature value and the variable-magnification number into a neural network model for nonlinear fitting, and outputting a temperature measurement result.
Preferably, the neural network model includes: an input layer, a hidden layer and an output layer;
the input layer comprises an atmospheric temperature, an atmospheric humidity, a standard temperature, a focal plane temperature value and a variable magnification number;
the hidden layer carries out nonlinear fitting on the input layer;
the output layer is a temperature measurement result.
Preferably, the time period for collecting the atmospheric temperature and the atmospheric humidity by using the environment detector in S1 is as follows: 30 minutes.
Preferably, the standard temperature of the black body is set to 100 degrees in S2.
Preferably, the focal plane temperature values of the infrared cameras are acquired at equal distance intervals in S2, and the equal distance is set to 10 meters.
The invention has the advantages that:
according to the invention, the environmental detector is used for collecting factors such as the atmospheric temperature, the atmospheric humidity and the like, so that the problem of inaccurate infrared temperature measurement is avoided, the temperature measurement result contains interference of the external environment on the infrared temperature measurement, and the accuracy of the temperature measurement result is improved;
the ultra-long-distance infrared temperature measurement is realized through the infrared zoom temperature measurement, in the temperature measurement process, if the test distance is slightly changed, under the condition that other conditions are unchanged, the farther the distance is, the lower the detection temperature is, the influence of the absorption and scattering capacity of a propagation medium can be caused, the zoom temperature measurement can solve the problem of blurred pictures caused by the change of the distance between the equipment and the device, the high-temperature part can be accurately positioned, and the measurement precision is improved.
According to the invention, on the basis of conventional factors such as atmospheric temperature, atmospheric humidity and the like, the infrared zoom is added, so that the infrared ultra-long-distance temperature measurement is realized, the problem of low temperature measurement precision caused by long-distance and short-distance change of equipment to be measured is solved, only a single factor is not considered any more, the measurement accuracy is improved, and the temperature measurement range is increased.
Drawings
FIG. 1 is a schematic block diagram of a remote zoom infrared temperature measurement method according to the present invention;
FIG. 2 is a schematic illustration of a neural network model according to the present invention;
FIG. 3 is a schematic diagram showing the influence of variable-magnification temperature measurement on temperature measurement accuracy, wherein the abscissa represents distance, the ordinate represents temperature measurement predicted value, curve a represents temperature predicted value of an unreduced variable-magnification factor, and curve b represents temperature predicted value of an increased variable-magnification factor.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
Example 1:
the following describes the present embodiment with reference to fig. 1 and 2, and the remote zoom infrared temperature measurement method according to the present embodiment includes:
s1, acquiring the atmospheric temperature and the atmospheric humidity by adopting an environment detector;
s2, setting standard temperature of a blackbody, acquiring focal plane temperature values of the infrared camera at equal distance intervals along the central direction of the infrared camera, and recording the zoom number of the infrared camera when the standard source blackbody occupies 2/3 of a thermal imaging picture;
s3, inputting the atmospheric temperature, the atmospheric humidity, the standard temperature, the focal plane temperature value and the variable-magnification number into a neural network model for nonlinear fitting, and outputting a temperature measurement result.
Further, as shown in fig. 2, the neural network model includes: an input layer, a hidden layer and an output layer;
the input layer comprises an atmospheric temperature, an atmospheric humidity, a standard temperature, a focal plane temperature value and a variable magnification number;
the hidden layer carries out nonlinear fitting on the input layer;
the output layer is a temperature measurement result.
Still further, the time period for collecting the atmospheric temperature and the atmospheric humidity by using the environmental detector in S1 is as follows: 30 minutes.
Still further, the standard temperature of the black body is set to 100 degrees in S2.
Still further, the focal plane temperature values of the infrared cameras are acquired at equal distance intervals in S2, and the equal distance is set to 10 meters.
In this embodiment, as shown in fig. 1, a schematic block diagram of a remote zoom infrared temperature measurement method according to the present invention is shown. The atmospheric temperature and atmospheric humidity were recorded every 30 minutes. Setting the standard temperature of the black body as 100 ℃, recording the focal plane temperature value of the infrared camera every 10 meters along the center direction of the infrared camera, wherein the black body occupies 2/3 of a thermal imaging picture, and recording the variable multiple. As shown in fig. 2, the atmospheric temperature, the atmospheric humidity, the standard temperature, the focal plane temperature value and the variable-magnification number are used as inputs, and are input into a neural network model for training, and a nonlinear fitting result is obtained, namely an output temperature measurement result.
As shown in fig. 3, a graph of an experiment of the influence of the zoom factor on the temperature measurement accuracy is shown, and experimental data are shown in table 1:
TABLE 1
The distance is taken as an abscissa, the temperature measurement predicted value is taken as an ordinate, a curve of the temperature predicted value is obtained, the curve a represents the temperature predicted value of the factor without adding the variable number, the curve b represents the temperature predicted value of the factor with adding the variable number, the graph of fig. 3 is obtained, other factors are unchanged, the variable number is added under the same distance, more heat radiation can be absorbed, the influence of noise is reduced, and the temperature measurement model is more accurate.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the different dependent claims and the features described herein may be combined in ways other than as described in the original claims. It is also to be understood that features described in connection with separate embodiments may be used in other described embodiments.
Claims (5)
1. The infrared temperature measurement method of remote zoom is characterized by comprising the following steps:
s1, acquiring the atmospheric temperature and the atmospheric humidity by adopting an environment detector;
s2, setting standard temperature of a blackbody, acquiring focal plane temperature values of the infrared camera at equal distance intervals along the central direction of the infrared camera, and recording the zoom number of the infrared camera when the standard source blackbody occupies 2/3 of a thermal imaging picture;
s3, inputting the atmospheric temperature, the atmospheric humidity, the standard temperature, the focal plane temperature value and the variable-magnification number into a neural network model for nonlinear fitting, and outputting a temperature measurement result.
2. The remote zoom infrared thermometry method according to claim 1, wherein the neural network model comprises: an input layer, a hidden layer and an output layer;
the input layer comprises an atmospheric temperature, an atmospheric humidity, a standard temperature, a focal plane temperature value and a variable magnification number;
the hidden layer carries out nonlinear fitting on the input layer;
the output layer is a temperature measurement result.
3. The method for infrared temperature measurement with remote zoom according to claim 1, wherein S1 the time period for collecting the atmospheric temperature and the atmospheric humidity by using the environmental detector is as follows: 30 minutes.
4. The method of claim 1, wherein the standard temperature of the black body is set to 100 degrees.
5. The method for infrared temperature measurement by remote zoom according to claim 1, wherein S2 is to collect the focal plane temperature values of the infrared cameras at equal distance intervals, and the equal distance is set to 10 meters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311579255.3A CN117824840A (en) | 2023-11-23 | 2023-11-23 | Remote zooming infrared temperature measurement method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311579255.3A CN117824840A (en) | 2023-11-23 | 2023-11-23 | Remote zooming infrared temperature measurement method |
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| CN117824840A true CN117824840A (en) | 2024-04-05 |
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| CN202311579255.3A Pending CN117824840A (en) | 2023-11-23 | 2023-11-23 | Remote zooming infrared temperature measurement method |
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2023
- 2023-11-23 CN CN202311579255.3A patent/CN117824840A/en active Pending
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