JP7393322B2 - Temperature measurement device, temperature measurement method and atmospheric measurement system - Google Patents

Description

The present invention relates to a temperature measurement device, a temperature measurement method, and an atmospheric measurement system.

Conventionally, a number of methods have been proposed as methods for measuring the temperature distribution of the atmosphere in space. A classical method is to directly arrange temperature sensors in a grid in a space. There are also methods of arranging metal or resin plates, linear or net-like members in a space, and measuring temperature changes with an infrared camera (for example, see Patent Document 1). A method of arranging thin wires coated with fluorescent paint that changes depending on the situation and photographing the fluorescence with a camera (for example, see Patent Document 2), and a method of generating ultrasonic waves in the air to determine the speed of sound ( For example, see Patent Document 3.) and the like have proposed a method of indirectly measuring temperature.

Japanese Patent Application Publication No. 2010-19624 Unexamined Japanese Patent Publication No. 2017-15590 Japanese Patent Application Publication No. 2003-130735 JP2020-52036A

However, in the method of arranging temperature sensors and measurement members made of metal or resin to detect temperature changes in a space, it is necessary to arrange these temperature sensors and measurement members in the space. , this arrangement requires a lot of effort. Further, if a temperature sensor, a measuring member, etc. are placed in the flow field, the air flow will be obstructed, and therefore there is a possibility that temperature distribution measurement will be performed that does not match the actual situation.

Furthermore, in the method in which ultrasonic waves are generated, the temperature is measured using changes in the sound speed of the ultrasonic waves, so there is no need to dispose a temperature sensor or the like. However, methods using ultrasonic waves can only perform point measurements and cannot detect temperature distribution.

Therefore, there has been a demand for a temperature measurement method that can detect the temperature of a space in an actual environment with a simple configuration and easily detect the temperature distribution.

The present invention was made by focusing on the above-mentioned conventional unsolved problems, and provides a temperature measuring device and a temperature measuring device that can simply and easily measure temperature in an actual environment and easily detect temperature distribution. The purpose is to provide measurement methods and atmospheric measurement systems.

According to one aspect of the present invention, the invention includes an infrared sensor, and includes first temperature data that is temperature data based on infrared rays in a first wavelength band that are absorbed by the atmosphere out of the output of the infrared sensor, and infrared rays that are absorbed by the atmosphere. second temperature data that is temperature data based on infrared rays in a second wavelength band whose amount is smaller than infrared rays in the first wavelength band; an arithmetic processing unit that calculates the temperature of the atmosphere in the measurement target space based on the data, the arithmetic processing unit includes first temperature data for calibration and second temperature data in the measurement target space acquired by the temperature data acquisition unit; a storage unit that stores an arithmetic expression representing the atmospheric temperature in the measurement target space that is preset based on the data; and first temperature data for temperature measurement in the measurement target space that is acquired by the temperature data acquisition unit. and a temperature calculation unit that calculates the temperature of the atmosphere in the measurement target space from the second temperature data and the calculation formula , and the calculation formula is expressed by the following formula.
TA=(D1-D2×(1-α1))/α1+γ
γ=(-β1+β2×(1-α1))/α1)
TA is the atmospheric temperature, D1 is the first temperature data, D2 is the second temperature data, α1 is the ratio of the atmospheric temperature included in the first temperature data D1, β1 is the bias value of the first temperature data D1, β2 is the bias value of the second temperature data D2.

According to another aspect of the present invention, there is provided a temperature measurement method for calculating the temperature of the atmosphere in a measurement target space, which includes an infrared sensor, and includes an infrared ray in a first wavelength band that is absorbed by the atmosphere among the output of the infrared sensor. and second temperature data that is temperature data based on infrared rays in a second wavelength band in which the amount of infrared rays absorbed by the atmosphere is less than that in the first wavelength band. , a step of acquiring first temperature data and second temperature data for calibration in the measurement target space by the temperature data acquisition unit, and a step of acquiring first temperature data for calibration using the temperature data acquisition unit. and a step of specifying an arithmetic expression for calculating the atmospheric temperature in the measurement target space based on the first temperature data and the second temperature data for temperature measurement in the measurement target space. a step of acquiring temperature data; a step of calculating the temperature of the atmosphere in the measurement target space based on the first temperature data and second temperature data for temperature measurement and the calculation formula; provides a temperature measurement method expressed by the following equation .
TA=(D1-D2×(1-α1))/α1+γ
γ=(-β1+β2×(1-α1))/α1)
TA is the atmospheric temperature, D1 is the first temperature data, D2 is the second temperature data, α1 is the ratio of the atmospheric temperature included in the first temperature data D1, β1 is the bias value of the first temperature data D1, β2 is the bias value of the second temperature data D2.

Furthermore, according to another aspect of the present invention, the temperature measuring device according to the above aspect calculates the atmospheric temperature in the measurement target space, the flow measuring device measures the atmospheric flow in the measurement target space, and the temperature measuring device calculates the temperature of the atmosphere in the measurement target space. A display processing unit that displays on a display device a temperature distribution image representing the temperature of the atmosphere at multiple points in the measurement target space and a flow measurement image representing the atmospheric flow in the measurement target space measured by the flow measurement device. An atmospheric measurement system is provided in which a display processing unit displays a temperature distribution image and a flow measurement image in a superimposed manner or side by side.

According to one aspect of the present invention, the temperature of the atmosphere in a space can be easily detected with a simple configuration and in an actual environment, and as a result, the temperature distribution can be easily detected.

1 is a schematic configuration diagram showing an example of a temperature measuring device according to a first embodiment of the present invention. FIG. 3 is an explanatory diagram for explaining a method of searching for parameters for calibration. 3 is a flowchart illustrating an example of a processing procedure of the image processing device. FIG. 7 is an explanatory diagram for explaining another method of searching for parameters for calibration. FIG. 7 is an explanatory diagram for explaining another calculation method of temperature distribution. It is a schematic block diagram which shows an example of the temperature measuring device based on 2nd embodiment of this invention. 1 is a schematic configuration diagram showing an example of a camera equipped with a filter wheel. This is an example of a characteristic showing the correspondence between the wavelength of infrared rays and the transmittance to the atmosphere. It is a schematic block diagram which shows an example of the temperature measuring device based on 3rd embodiment of this invention. This is an example of the measurement results of atmospheric temperature changes when only the atmosphere is heated. This is an example of an image in which atmospheric flow and atmospheric temperature distribution are displayed in a superimposed manner. It is a functional configuration diagram showing an example of an atmospheric measurement system according to a fourth embodiment of the present invention. FIG. 3 is a diagram for explaining a cutting window width and an analysis step. 3 is a flowchart illustrating an example of a processing procedure during temperature fluctuation distribution analysis. This is an example of temperature fluctuation distribution images arranged in time series. It is a flowchart which shows an example of the processing procedure in an atmospheric measurement system.

Embodiments of the present invention will be described below with reference to the drawings.

It should be noted that in the detailed description that follows, many specific specific configurations are set forth in order to provide a thorough understanding of embodiments of the present invention. However, it is clear that other embodiments may be practiced without being limited to these particular specific configurations. Furthermore, the following embodiments do not limit the claimed invention. Furthermore, not all combinations of features described in the embodiments are essential to the solution of the invention.
<Temperature calculation method>

First, a method of calculating temperature will be explained.

In the temperature calculation method according to the present embodiment, an infrared camera is used as an infrared sensor, the space is photographed by the infrared camera, and the infrared rays generated by the members forming the space, such as walls, are converted into two temperature data with different wavelength bands. The temperature of the space is detected using two types of temperature data in different wavelength bands.

For the sake of simplicity, a method of detecting the temperature of a space using two infrared cameras (temperature data acquisition units) 1A and 1B will be described here.

The two infrared cameras 1A and 1B have sensitivities to different wavelength bands. One infrared camera (first infrared camera) 1A is sensitive to a first wavelength band, which is a wavelength band in which the amount of infrared rays absorbed by the atmosphere is relatively large, and has sensitivity to bands other than this first wavelength band. Sensitivity is zero. The other infrared camera (second infrared camera) 1B is sensitive to a second wavelength band in which the amount of infrared rays absorbed by the atmosphere is relatively small, and has sensitivity to bands other than this second wavelength band. Sensitivity is zero. In other words, the first wavelength band and the second wavelength band are different wavelength bands, and the amount of infrared rays absorbed by the atmosphere in the first wavelength band to which the infrared camera 1B is sensitive is less than the amount of infrared radiation absorbed by the atmosphere in the second wavelength band.

Specifically, the infrared camera 1A has sensitivity, for example, in a mid-infrared wavelength band of 3 μm or more and 5 μm or less, and has zero sensitivity to wavelength bands other than 3 μm or more and 5 μm or less. The infrared camera 1B has sensitivity in a far-infrared wavelength band of, for example, 7 μm or more and 14 μm or less, and has zero sensitivity to wavelength bands other than 7 μm or more and 14 μm or less. In addition, the infrared camera 1A has sensitivity in the wavelength band of 1 μm or more and 5 μm or less, and has zero sensitivity for bands other than this wavelength band, and the other infrared camera 1B has sensitivity in the wavelength band of 7 μm or more and 13 μm or less. , the sensitivity to bands other than this wavelength band can be set to zero.

In addition, a combination of a first wavelength band in which the amount of infrared rays absorbed by the atmosphere, which is included in the infrared camera 1A, is relatively large, and a second wavelength band, in which the amount of infrared rays that is absorbed by the atmosphere, which is included in the infrared camera 1B, is relatively small. is not limited to the combination of wavelength bands of 3 μm or more and 5 μm or less and 7 μm or more and 14 μm or less, or the combination of wavelength bands of 1 μm or more and 5 μm or less and 7 μm or more and 13 μm or less. The first wavelength band and the second wavelength body are a wavelength band in which the amount of infrared rays absorbed by the atmosphere of the infrared camera 1A is relatively large, and a wavelength band in which the amount of infrared rays absorbed by the atmosphere of the infrared camera 1B is relatively large. Infrared rays can be used as long as they are in combination with small wavelength bands, but combinations of the aforementioned wavelength bands of 3 μm to 5 μm and 7 μm to 14 μm, as well as combinations of wavelength bands of 1 μm to 5 μm and 7 μm to 13 μm, can be used as infrared rays. As the camera 1A and the infrared camera 1B, a commercially available infrared camera with sensitivity in the mid-infrared wavelength band or a commercially available infrared camera with sensitivity in the far-infrared wavelength band can be used. It's easy to do.

These two infrared cameras 1A and 1B are arranged so that their fields of view are the same. It is assumed that these two infrared cameras 1A and 1B have been appropriately calibrated in temperature when measuring the same background (wall surface).

Here, in the following calculations, the average value of temperature data for each pixel measured by the infrared camera 1A is set as temperature data D1, and the average value of the temperature data for each pixel measured by the infrared camera 1B is set as temperature data D2. It will be explained as follows.
The temperature data (first temperature data) D1 measured by the infrared camera 1A is the sum of the temperature TW from the wall surface forming the space to be measured and the temperature from the atmosphere (hereinafter also referred to as atmospheric temperature) TA. This can be approximated by the following equation (1).

D1=TA×α1+TW×(1-α1)+β1……(1)

Similarly, the temperature data (second temperature data) D2 measured by the infrared camera 1B is the sum of the temperature TW from the wall surface forming the space to be measured and the atmospheric temperature TA, and is expressed by the following equation (2). It can be approximated.

D2=TA×α2+TW×(1-α2)+β2……(2)

Equations (1) and (2) can be expressed as the following equations (3) and (4).

D1×(1-α2)

=TA×α1×(1-α2)+TW×(1-α1)×(1-α2)

+β1×(1-α2) ...(3)

D2×(1-α1)

=TA×α2×(1-α1)+TW×(1-α2)×(1-α1)

+β2×(1-α1) ...(4)

The difference between equations (3) and (4) can be expressed by the following equation (5).

D1×(1-α2)-D2×(1-α1)

=TA×(α1×(1-α2)-α2×(1-α1))

+β1×(1-α2)-β2×(1-α1)……(5)

From equation (5), the following equation (6) representing TA can be derived.

T.A.

=(D1×(1-α2)-D2×(1-α1)-β1×(1-α2)

+β2×(1-α1))/(α1×(1-α2)-α2×(1-α1))

...(6)

From equation (6), it can be seen that the atmospheric temperature can be detected if the parameters α1, α2, β1, and β2 are separately obtained as calibration data.

Strictly speaking, the parameters α1, α2, β1, and β2 are functions of the distance to the background, that is, the wall surface. Therefore, in order to calculate the atmospheric temperature more accurately, calibration data may be acquired according to the distance to the background. In addition, in this measurement, it is important to select walls with substantially the same emissivity for the two infrared cameras 1A and 1B with different measurement wavelength bands.

In addition, in the infrared camera 1B which has a wavelength band in which absorption by the atmosphere is small as a measurement wavelength band, assuming that absorption by the atmosphere can be sufficiently ignored, α2=0 can be set. Therefore, the equation (6) becomes the following equation (7).

TA=(D1-β1-(D2-β2)×(1-α1))/α1...(7)
<Modified example>

Note that here, in order to simplify the explanation, the temperature data D1 and D2 are acquired by two infrared cameras 1A and 1B with different measurement wavelength ranges, but the invention is not limited to this. For example, in one infrared camera, two or more optical filters are installed, one optical filter extracts the wavelength band with high absorption by the atmosphere, and the other optical filter extracts temperature data of the wavelength band with low absorption by the atmosphere. It is also possible to have a configuration that obtains . By switching the optical filter and switching between a wavelength band where atmospheric absorption is large and a wavelength band where atmospheric absorption is smaller, it is possible to acquire multiple types of temperature data in different wavelength bands. In this case, unlike the case where two infrared cameras are used, it is not necessary to match the field of view, so the temperature of the atmosphere in the space can be measured more easily.

In this way, the temperature data D1 measured by the infrared camera 1A and the temperature data D2 measured by the infrared camera 1B are the sum of the temperature TW from the wall surface forming the space to be measured and the atmospheric temperature TA, respectively. can be expressed as a linear function with two variables. Therefore, from the linear function having these two variables and the known temperature data D1 and D2, an arithmetic expression for calculating the atmospheric temperature TA, that is, Equation (6) can be derived.

As a result, by performing temperature measurement using the infrared cameras 1A and 1B in two infrared measurement bands and obtaining two temperature data D1 and D2, it is possible to combine these two temperature data D1 and D2 with the calculation formula (6). From this, the temperature TA of the atmosphere in the space can be obtained. Furthermore, in the infrared camera 1B, which has a measurement wavelength band that is less absorbed by the atmosphere, if the absorption by the atmosphere can be sufficiently ignored, the temperature data D1 and D2 obtained by temperature measurement and the calculation formula (7) can be used. From this, the temperature TA of the atmosphere in the space can be obtained.
The temperature data D1 and D2 used in the explanation of the above calculations are average values of the temperature data obtained from the infrared cameras 1A and 1B. Therefore, the atmospheric temperature TA obtained from equation (6) or equation (7) represents the average temperature of the area within the measurement target space that corresponds to the area within the field of view of the infrared cameras 1A and 1B.

Here, among the temperature data for each pixel obtained by the infrared cameras 1A and 1B, if the atmospheric temperature TA is calculated based on the temperature data of the pixel corresponding to one point X in the measurement target space, the measurement The atmospheric temperature TA at a certain point X in the target space can be obtained. Then, by calculating the atmospheric temperature TA using the temperature data for each pixel, it is possible to obtain the atmospheric temperature TA in the area corresponding to the field of view of the infrared cameras 1A and 1B in the measurement target space for each pixel. . Therefore, by displaying the obtained atmospheric temperature TA corresponding to each pixel in association with each pixel, it is possible to obtain the temperature distribution of the area within the measurement target space corresponding to the field of view of the infrared cameras 1A and 1B. .
[First embodiment]

Next, a temperature measuring device that measures atmospheric temperature using the above equation (7) will be explained.

First, a temperature measuring device according to a first embodiment will be explained.

FIG. 1 is a schematic configuration diagram showing an example of a temperature measuring device 10 according to the first embodiment.

As shown in FIG. 1, the temperature measuring device 10 includes two infrared cameras 1A and 1B having sensitivities in different wavelength bands, and an image processing device 2 consisting of a personal computer or the like. The image processing device 2 includes an input device and a display device (not shown), acquires temperature data consisting of image data from the infrared cameras 1A and 1B at a predetermined cycle set in advance, and stores it in the storage unit 2a. . Further, the image processing device (computation processing unit) 2 calculates the temperature of the space photographed by the infrared cameras 1A and 1B from two types of temperature data acquired by the infrared cameras 1A and 1B stored in the storage unit 2a, and displays the to be displayed.

The infrared camera 1A has sensitivity in a wavelength band where absorption by the atmosphere is relatively large, for example, in a mid-infrared band of 3 μm or more and 5 μm or less, and has zero sensitivity for bands other than 3 μm or more and 5 μm or less. As the infrared camera 1A, a cooled type (device InSb) infrared camera in the mid-infrared band can be used. The number of pixels of the infrared camera 1A is 640×512 pixels.

The infrared camera 1B is sensitive to a wavelength band that is longer than the wavelength band to which the infrared camera 1A is sensitive, and the absorption amount by the atmosphere is smaller than the absorption amount in the wavelength band to which the infrared camera 1A is sensitive, For example, it has sensitivity in the far infrared band of 7 μm or more and 14 μm or less. As the infrared camera 1B, a far-infrared band uncooled (element microbolometer) infrared camera can be used. The number of pixels of the infrared camera 1B is 640×480 pixels.

The temperature measuring device 10 uses two infrared cameras 1A and 1B to take pictures of a wall in a room, and aims to measure the temperature of the atmosphere in the space between the two infrared cameras 1A and 1B and the wall. The two infrared cameras 1A and 1B are arranged so that substantially the same area is included within the field of view of these two infrared cameras 1A and 1B. The infrared cameras 1A and 1B have the same angle of view from the wall surface, from the viewpoint of measuring the temperature of the atmosphere between the infrared cameras 1A and 1B and the wall surface using the temperature data of these infrared cameras 1A and 1B, respectively. It is preferable that the infrared cameras 1A and 1B be arranged at positions where the distances to the infrared cameras 1B are approximately the same.

Here, the photographing frame rate was 25 Hz, the photographing time was 30 seconds, and the average temperature value for 30 seconds was used as data.
<Procedure for temperature measurement>

In the temperature measuring device 10, first, calibration data is acquired.

Specifically, the indoor atmospheric temperature was changed from 17° C. to 30° C., and the wall surface was photographed using two infrared cameras 1A and 1B. Note that the distance from the infrared cameras 1A and 1B to the wall surface is 3.3 m. In addition, the temperature of the indoor air was measured with a thermocouple.

Here, the equation (7) can be transformed into a linear equation expressed by the following equation (8).

TA=(D1-β1-(D2-β2)×(1-α1))/α1

=(D1-D2×(1-α1)-β1+β2×(1-α1))/α1

=(D1-D2×(1-α1)/α1+(-β1+β2×(1-α1))/α1

=(D1-D2×(1-α1))/α1+γ

γ=(-β1+β2×(1-α1))/α1...(8)

That is, as shown in equation (8), the atmospheric temperature TA is the sum of (D1-D2×(1-α1))/α1 and the bias value γ.

That is, if α1 is appropriately set so that the relationship between (D1-D2×(1-α1))/α1 and TA has a slope of “1,” the bias value γ can be found from the intercept of this relationship. .

In this example, as shown in FIG. 2, when α1 is 0.15, the slope of the relationship between (D1-D2×(1-α1))/α1 and atmospheric temperature TA is "1". It became. Moreover, the intercept γ at this time was 4.37. In FIG. 2, the horizontal axis is (D1-D2×(1-α1))/α1 [°C], and the vertical axis is the atmospheric temperature TA [°C].

Therefore, from the equation (8), the atmospheric temperature TA can be determined by the following equation (9).

TA=(D1-D2×0.85)/0.15+4.37...(9)

With the atmospheric temperature, that is, the indoor temperature measured with a thermocouple, at 28° C., the inside of the room was photographed by infrared cameras 1A and 1B, and temperature data D1 and D2 were obtained. For each of the acquired temperature data D1 and D2, the average value of the temperature data of each pixel was determined, and the determined average values were used as the temperature data D1 and D2. Then, by applying the obtained temperature data D1 and D2 to equation (9) to calculate the temperature TA of the indoor air, the average temperature of the indoor air was 27.8°C. The difference from the measured indoor temperature of 28°C was 0.2°C.

Furthermore, while the temperature inside the room measured by the thermocouple was 18° C., the inside of the room was photographed by infrared cameras 1A and 1B, and temperature data D1 and D2 were obtained. The obtained temperature data D1 and D2 were applied to equation (9) to calculate the temperature TA of the indoor air, and the average temperature of the indoor air was 18.1°C. The difference from the measured indoor temperature of 18°C was 0.1°C.

From the above, it was confirmed that the temperature of the atmosphere in the space can be obtained with high accuracy from the equation (9).

FIG. 3 is a flowchart showing an example of a processing procedure in the image processing device 2. As shown in FIG.

The image processing device 2 first acquires temperature data for calibration (first temperature data and second temperature data for calibration) using infrared cameras 1A and 1B in a space where atmospheric temperature is to be measured, such as a room. (Step S1). Next, a predetermined calibration parameter in the equation (8) is searched based on the acquired temperature data (step S2). That is, α1 for which the relationship between (D1-D2×(1-α1)/α1) and TA has a slope of “1” and the bias value γ when α1 is found are searched.

Next, the calculation formula (9) for the atmospheric temperature TA is specified from the acquired calibration parameter α1 and bias value γ, and is stored in the storage unit 2a (step S3). Through the above processing (steps S1 to S3 preprocessing section), the preprocessing at the time of temperature measurement is completed.

Next, the process moves to step S4, in which temperature data for temperature measurement is acquired using the infrared cameras 1A and 1B in the space where the atmospheric temperature is to be measured, and is stored in the storage unit 2a. Note that it is desirable that the infrared cameras 1A and 1B be placed at the installation location when pre-processing for temperature measurement is performed.

Next, based on the temperature data for temperature measurement of the infrared cameras 1A and 1B stored in the storage unit 2a, the atmospheric temperature TA is calculated using the above equation (9) (step S5, temperature calculation unit), The obtained atmospheric temperature TA is displayed on the display device (step S6). For example, the temperature in the space where the atmospheric temperature is to be measured is displayed by displaying it in a different display color depending on the magnitude of the atmospheric temperature TA, or by displaying the temperature numerically. This allows the user to easily recognize the temperature in the space where the atmospheric temperature is to be measured.

At this time, for example, if the average value of the temperature data of each pixel is calculated for each temperature data of the infrared cameras 1A and 1B, and this is used as the temperature data D1 and D2 of the infrared cameras 1A and 1B, the temperature can be calculated. The average temperature of the area corresponding to the field of view in space can be obtained. Furthermore, by calculating the atmospheric temperature TA for each pixel-by-pixel temperature data, it is possible to obtain the temperature distribution of the area corresponding to the field of view in the measurement target space. In particular, when temperature distribution is obtained, it is easy to visually understand the temperature distribution in the measurement target space by displaying it in different colors depending on the temperature or by expressing the temperature numerically according to the temperature distribution. can be recognized.

At this time, the image is taken for a longer period of time, and the temperature distribution is calculated every 30 seconds using the average temperature value of the 30 seconds, and displayed in chronological order. It is possible to represent a change in temperature or a change in temperature distribution every second.

In this way, the temperature measuring device 10 according to the first embodiment can measure temperature with a simple configuration. In addition, since it is only necessary to install the infrared cameras 1A and 1B at predetermined positions, temperature measurement in an actual environment can be easily performed, that is, temperature distribution measurement can also be easily performed. In particular, when measuring the temperature distribution within the measurement target space, temperature data at multiple points can be acquired by simply installing the infrared cameras 1A, 1B at predetermined positions. Therefore, temperature data at a plurality of points within the measurement target space can be acquired by one photographing by the infrared cameras 1A and 1B, and the temperature distribution within the measurement target space can be easily acquired.
Furthermore, when measuring temperature using a conventional sensor such as a thermometer, it is necessary to place the sensor at a point in the measurement target space where the temperature is to be measured. On the other hand, in the temperature measuring device 10 according to the first embodiment, there is no need to arrange the infrared cameras 1A and 1B at the point where the temperature is to be measured. Therefore, sensors for measuring temperature, that is, infrared cameras 1A and 1B can be easily installed.
<Modification 1 of the first embodiment>

Performing calibration at an actual measurement site other than a laboratory, that is, determining parameters α1 and γ in equation (8), requires measurement while varying the temperature of the space, which is extremely difficult. difficult and impractical.

Here, the calibration parameters α1 and γ are actually functions of the distance from the infrared cameras 1A, 1B to the wall surface, as described above.

＜第１実施形態の変形例２＞ Therefore, in order to reduce the calibration work, as shown in Table 1, the calibration parameters α1 and γ are determined in advance according to the distance from the infrared cameras 1A, 1B, etc. to the wall surface in a laboratory, etc., and then When measuring the atmospheric temperature, among the calibration parameters α1 and γ determined in advance, the corresponding configuration parameter is determined according to the distance between the infrared cameras 1A, 1B and the wall surface at the time of temperature measurement. It may be configured to select and use the following.

<Modification 2 of the first embodiment>

In order to calculate the temperature TA of the space, α1 and the bias value γ are required as calibration parameters. Among these, the bias value γ involves α1, β1, and β2, and therefore has a high ratio of being an error factor.

Therefore, in order to obtain a more accurate temperature, as shown in Figure 4, the temperature at one or more points in the room is actually measured using a thermometer 1a such as a thermocouple, and based on this, the calibration parameter γ is determined. The atmospheric temperature TA may be corrected using this calibration parameter. That is, for example, the temperature at multiple points in the room is actually measured using the thermometer 1a. This measured value corresponds to the atmospheric temperature TA. Furthermore, temperature data D1 and D2 at the installation location of the thermometer 1a are acquired from the infrared cameras 1A and 1B. Then, the relationship between the atmospheric temperature TA (actual measurement value) actually measured with the thermometer 1a, the temperature data D1 and D2 at the installation location of the thermometer 1a, and (D1-D2×(1-α1))/α1 and TA The unknown quantity γ may be calculated from α1 obtained from α1 and the equation (8) above.
<Variation 3 of the first embodiment>

When photographing the walls, etc. of the measurement target space with infrared cameras 1A and 1B to obtain the temperature of the space, at the actual measurement site, there may be irregularities in the shape of the wall, differences in emissivity of the wall, and differences between the two infrared cameras. Due to errors in the field of view of the cameras 1A and 1B, accurate atmospheric temperature measurement may not be possible, and noise may be superimposed.

On the other hand, it may not be necessary to evaluate the atmospheric temperature as spatially strictly as the number of pixels (640×512 pixels) of the infrared camera 1A. For example, it may be sufficient to know that the temperature in a certain region of the space to be measured has increased and the temperature in other regions has decreased.

Therefore, as shown in Fig. 5, an image (Fig. 5(a)) consisting of 640 x 512 pixels measured with an infrared camera 1A is divided into a total of 20 sections of 5 x 4, each having 128 x 128 pixels. (FIG. 5(b)), the average temperature for each section may be calculated. By doing so, the degree of measurement error can be reduced. Moreover, since it is sufficient to calculate the average temperature for each 5×4 section, the processing load on the image processing device 2 can be reduced.

In addition, when measuring the temperature of a part of the field of view, among the multiple divisions shown in Figure 5(b), temperature measurement is performed only for the division that includes the "partial area" that is the temperature measurement target. Just go. In this case, the average temperature of the section may be calculated, and the temperature may be measured for each pixel included in the section including the "partial area". The temperature distribution may be measured for a section including the following.
[Second embodiment]

Next, a temperature measuring device 10-1 according to a second embodiment of the present invention will be described.

FIG. 6 is a schematic configuration diagram showing an example of a temperature measuring device 10-1 according to the second embodiment.

The temperature measuring device 10-1 includes one infrared camera 1C, an image processing device 2 consisting of a personal computer, etc., and a storage section 2a. The infrared camera 1C has sensitivity in a wavelength band where absorption by the atmosphere is relatively large, for example, in a mid-infrared band of 3 μm or more and 5 μm or less. As the infrared camera 1C, a cooled type (device InSb) infrared camera in the mid-infrared band can be used. The number of pixels of the infrared camera 1C is 640×512 pixels. In addition, as shown in FIG. 7, the infrared camera 1C includes a filter having a plurality of optical filters 3a with different passbands (transmission wavelengths), from which the passbands (transmission wavelengths) of the infrared bandpass filter can be selected. A wheel 3 is provided.

Here, it is known from literature that the transmittance of infrared wavelengths to the atmosphere has the characteristics shown in FIG.

As shown in FIG. 8, in the mid-infrared band from 3 μm to 5 μm, the transmittance is low (large absorption) near 4.2 μm, and the transmittance is high (low absorption) near 3.7 μm. Therefore, the filter wheel 3 is provided with a bandpass filter of around 4.2 μm and a bandpass filter of around 3.7 μm as the optical filter 3a. Then, for example, the two optical filters 3a are switched every 5 seconds and measurements are taken alternately in two wavelength bands.

As a result, temperature data that is largely absorbed by the atmosphere and temperature data that is little absorbed by the atmosphere can be acquired almost simultaneously, and the temperature of the atmosphere can be acquired using the same procedure as in the first embodiment.

In addition, since the measurement can be completed with one infrared camera 1C, there is no need to adjust the field of view of the two infrared cameras, unlike when two infrared cameras are used, making temperature measurement easy. .
[Third embodiment]

Next, a temperature measuring device 10-2 according to a third embodiment of the present invention will be described.

FIG. 9 is a schematic configuration diagram showing an example of a temperature measuring device 10-2 according to the third embodiment.

The temperature measuring device 10-2 includes one infrared camera 1A and an image processing device 2 such as a personal computer. Like the infrared camera 1A in the first embodiment, the infrared camera 1A has sensitivity in a wavelength band where absorption by the atmosphere is relatively large, for example, in a mid-infrared band of 3 μm or more and 5 μm or less. As the infrared camera 1A, a cooled type (device InSb) infrared camera in the mid-infrared band can be used. The number of pixels of the infrared camera 1A is 640×512 pixels.

Here, assuming that the temperature of the atmosphere changes in an extremely short period of time caused by airflow, the temperature change of the atmosphere will not be transmitted to the wall surface, and only the temperature of the atmosphere will change.

Furthermore, when it is desired to examine the effect of temperature change in the atmosphere due to airflow, it is not necessary to measure the absolute temperature of the atmosphere; it is sufficient to know the amount of temperature change before and after the generation of the airflow.

In such a case, it is sufficient to measure the temperature using only the infrared camera 1A, which is sensitive to a wavelength band where absorption by the atmosphere is relatively large.

In other words, the atmospheric temperature before and after the temperature change is defined as TA(0) (before the change) and TA(1) (after the change), and an infrared camera whose measurement wavelength band is a band in which the absorption of infrared rays by the atmosphere is relatively large is used. The temperature data to be measured is D1 (0) (before change), D1 (1) (after change), and the temperature data measured by an infrared camera whose measurement wavelength band is a band in which the absorption of infrared rays by the atmosphere is relatively small. When D2(0) (before change) and D2(1) (after change), the above equation (8) can be expressed by the following equation (10).

TA(0)=(D1(0)-D2(0)×(1-α1))/α1+γ

TA(1)=(D1(1)-D2(1)×(1-α1))/α1+γ

γ=(-β1+β2×(1-α1))/α1...(10)

An infrared camera that has a measurement wavelength band of wavelengths where infrared absorption by the atmosphere is relatively small measures only the temperature of the wall. Therefore, when D2(0)=D2(1), the atmospheric temperature change ΔTA can be expressed by the following equation (11).

ΔTA=TA(1)-TA(0)=(D1(1)-D1(0))/α1

...(11)

Therefore, temperature changes in the atmosphere can be calculated using only the infrared camera 1A, which has a measurement wavelength band of wavelengths at which the absorption of infrared rays by the atmosphere is relatively large.

Therefore, by calculating the atmospheric temperature change ΔTA from equation (11) for each pixel temperature data based on the temperature data from the infrared camera 1A, the field of view of the infrared camera 1A in the measurement target space is calculated. The temperature change ΔTA of the area can be obtained.
FIG. 10 shows the measurement results of the temperature change in the atmosphere when only the atmosphere was heated by the dryer. As shown in FIG. 10, it can be seen that a region of the atmosphere where a temperature change has occurred due to the heat of the dryer and a region of the atmosphere where no temperature change has occurred are clearly distinguished.
[Fourth embodiment]

Next, a fourth embodiment of the present invention will be described.

In this fourth embodiment, the flow of the atmosphere is displayed as well as the temperature distribution of the atmosphere.

That is, atmospheric temperature distribution measurements are often performed to evaluate the efficiency of air conditioning equipment such as air conditioners. Also, in many cases, changes in atmospheric temperature distribution are caused by natural convection or forced convection from air conditioning equipment. Here, the atmospheric flow can be measured by using infrared rays, which are absorbed by the atmosphere in a relatively large amount, as described in Patent Document 4.

Therefore, by using the fluid flow measurement method described in Patent Document 4, it is possible to obtain an image representing the atmospheric flow. Therefore, by superimposing an image of the atmospheric flow with an image of the atmospheric temperature distribution, the atmospheric flow and its temperature distribution can be easily recognized. Therefore, it is possible to visually and easily evaluate the efficiency of air conditioning equipment, and the time required for efficiency evaluation can be reduced.

As a method of displaying the atmospheric temperature distribution and atmospheric flow, for example, as shown in FIG. 11, a method of superimposing atmospheric isotherms on an atmospheric flow image can be considered.

Alternatively, the temperature distribution of the atmosphere and the flow of the atmosphere may be displayed side by side.

FIG. 12 is a functional configuration diagram illustrating an example of an atmospheric measurement system 20 that can measure both atmospheric temperature distribution and atmospheric flow. Similar to the temperature measurement device 10 in the first embodiment, the atmospheric measurement system 20 includes two infrared cameras 1A and 1B with different measurement wavelength bands as infrared sensors, an image processing device 2, and a storage unit 2a. Equipped with.

The atmospheric measurement system 20 acquires temperature data captured by, for example, two infrared cameras 1A and 1B of a space where the atmospheric temperature distribution is to be measured, and performs the same process as the image processing device 2 in the first embodiment. , a temperature measuring unit (temperature measuring device) 11 that calculates the atmospheric temperature TA and generates an atmospheric temperature distribution image of the space to be measured; a flow measuring unit (flow measuring device) 12 that measures the flow of the atmosphere; A selection unit 14 selects an image to be displayed on the display device 13 from among the temperature distribution image generated by the temperature measurement unit 11 and the flow measurement image representing the atmospheric flow measured by the flow measurement unit 12; It includes a display processing unit 15 that displays the selected image on the display device 13.

The flow measurement unit 12 measures the flow of the atmosphere based on the image data of the infrared camera 1A, which has a measurement target area that is a band in which the absorption of infrared rays by the atmosphere is relatively large. The selection unit 14 is configured with an input device such as a touch panel, and selects which image to display, the temperature distribution image acquired by the temperature measurement unit 11 and the flow measurement image measured by the flow measurement unit 12. Also select whether to display both images together.

The display processing unit 15 performs display processing to display the image selected by the selection unit 14 on the display device 13. That is, when one of the temperature distribution image and the flow measurement image is selected by the selection unit 14, the selected image is displayed on the display device 13, and when both the temperature distribution image and the flow measurement image are selected, these images are displayed. Display together. The display method may be set in the selection unit 14. For example, depending on the selection of the display method in the selection unit 14, two images may be displayed in a superimposed manner, or they may be displayed side by side horizontally or vertically. good.
<Processing procedure of flow measurement unit 12>

Next, an example of the processing procedure of the flow measuring section 12 will be explained. The flow measurement unit 12 performs processing similar to the processing in the fluid flow measurement device described in Patent Document 4, for example.

Specifically, in the flow measurement unit 12, through processing by the temperature measurement unit 11, temperature image data taken at a preset period by the infrared camera 1A is acquired for a preset predetermined period, and the acquired temperature is Image data is stored in the storage unit 2a in chronological order.

The flow measurement unit 12 performs fluid flow analysis based on the time-series temperature image data stored in the storage unit 2a and a database necessary for temperature fluctuation distribution analysis that is stored in advance in the storage unit 2a.

As shown in FIG. 13(a), the flow measurement unit 12 cuts out a part of the time-series temperature data in units of the cutting window width Δt1 for a certain period, and uses the cut out temperature data as partial temperature data. At this time, the time at which partial temperature data is extracted from the time-series temperature data is shifted by a fixed analysis step as shown in FIG. 13(b). As a result, a plurality of partial temperature data are cut out, which are made up of temperature data having period data corresponding to the width of the cutout window.

Note that in order to prevent omissions from occurring in the temperature fluctuations of the time-series temperature data to be analyzed, it is desirable that consecutive partial temperature data be cut out so that a portion of the temperature data overlaps with each other. The flow measurement unit 12 performs Fourier transform on each of the extracted partial temperature data.

As shown in FIG. 13(b), the extraction window width defines the period to be extracted as partial temperature data. For example, when extracting partial temperature data for a period of Δt1, Δt1 is the extraction window width. Become. In addition, as shown in FIG. 13(b), the analysis step represents the amount of deviation of the cutting window when extracting partial temperature data, and when the amount of deviation is Δt2, at the time of deviation by Δt2, Partial temperature data for a period of Δt1 is extracted.

The flow measurement unit 12 performs temperature fluctuation distribution analysis using a frequency analysis method for each of the extracted partial temperature data, and displays the analysis results in time series on a display device. In this embodiment, time-series temperature data is cut out by sequentially shifting a short-time window function, and Fourier transform is performed on the data, and this method is referred to as a short-time Fourier transform method. By using the short-time Fourier transform method, temperature fluctuations associated with time changes can be obtained.

Generally, the temperature of a fluid is not uniform and varies. In particular, we want to know the flow of gases, such as the flow of air from an air conditioner, the flow of exhaust gas from a vehicle's exhaust pipe, the flow of hot air from a dryer, etc. Gases with greatly different temperatures. is often cited as a detection target.

Here, if the amount of temperature fluctuation is small compared to the measured temperature range, the flow cannot be recognized from the temperature image data itself. For example, if the temperature range to be measured is 15°C to 25°C and the temperature fluctuation is 0.1°C, when displaying temperature image data, the amount of change with respect to the dynamic range is 1/100, so the temperature fluctuation component is It is buried in the background and cannot be expressed as a flow. In other words, even if temperature image data is displayed in chronological order, it is difficult to recognize temperature fluctuation components from the temperature image data.

Therefore, by calculating the temperature fluctuation component through analysis within a certain period of time and using this as an index, it is possible to narrow the displayed temperature range. It can be expressed as a flow. This is particularly effective when the background temperature range is wide, that is, when the dynamic range is wide.

The database stored in the storage unit 2a includes, for example, the window width, analysis step, analysis frequency, etc. when the measurement target is the atmosphere.

This database is newly registered or updated when temperature fluctuation distribution analysis is performed on the atmosphere to be measured.

When processing the atmosphere in a space, the flow measurement unit 12 reads out the window width, analysis step, and analysis frequency registered in the database, and performs temperature fluctuation distribution analysis based on these.

Specifically, the flow measurement unit 12 stores temperature image data of the fluid to be measured, which is captured by the infrared camera 1A at a preset frame rate, in the storage unit 2a in chronological order.

When performing a temperature fluctuation distribution analysis, as shown in the flowchart of FIG. 14, the temperature image data stored in the storage unit 2a is first read (step S11), and then the input device is used to select the atmosphere as the fluid to be measured. Once set, the flow measurement unit 12 reads out the window width, analysis step, and analysis frequency registered in the database of the storage unit 2a, and sets these as parameter values for temperature fluctuation distribution analysis (step S14). .

Then, the flow measurement unit 12 extracts partial temperature data from the time series temperature data using the extraction window width set in step S14 and the analysis step (step S16), and applies the short-time Fourier transform method to each of the extracted partial temperature data. Temperature fluctuation distribution analysis is performed using this method (step S17). Specifically, using sine wave signals and cosine wave signals of analysis frequencies set as parameter values for temperature fluctuation distribution analysis, Fourier transform consisting of sine transformation and cosine transformation is performed on the extracted partial temperature data signal. conduct.

At this time, if the parameter value is set again from the input device, the process of step S16 is performed again, and for example, when a confirmation operation is performed, the parameter value at this time is stored in the database as a parameter value for temperature fluctuation distribution analysis. do. Furthermore, regarding the results of temperature fluctuation distribution analysis by short-time Fourier transform for each partial temperature data, the amplitude is taken as a temperature fluctuation value, and the sign or negative of the temperature fluctuation is determined from the phase.

Note that here, the Fourier transform is performed using a sine wave signal and a cosine wave signal, but the transform process may be performed using only either one of the sine wave signal and the cosine wave signal.

Once temperature fluctuation distribution analysis has been performed for one pixel using the stored parameter values for temperature fluctuation distribution analysis, the same process is performed for the next pixel. Then, once the temperature fluctuation distribution analysis has been performed for all pixels, the temperature fluctuation distribution analysis is similarly performed for the next partial temperature data, and once the temperature fluctuation distribution analysis has been performed for all the partial temperature data, the process proceeds to step S18. Migrate and display the analysis results. Specifically, the results of temperature fluctuation distribution analysis are displayed in time series in units of partial temperature data.

For example, as shown in FIG. 15, the analysis result display processing in step S18 includes a temperature change value of each pixel obtained from partial temperature data at the same time point for each pixel in the temperature image taken by the infrared camera 1A. The fluctuation distribution image is displayed on a display device by changing the display format depending on the magnitude of the temperature fluctuation value. As shown in FIG. 15, by displaying temperature fluctuation distribution images obtained from each partial temperature data in chronological order, it is possible to display changes in the temperature fluctuation distribution. Note that FIG. 15 is a measurement target of airflow, and is a visualization of the flow of airflow on the ceiling.

Here, the presence of airflow means that temperature fluctuations will appear at one point. Therefore, by measuring the distribution of temperature fluctuations and displaying the distribution of temperature fluctuations in time series, it is possible to visualize the flow of the airflow to be measured. In other words, when there is a flow, convex temperature fluctuations and concave temperature fluctuations are repeated alternately per unit time. can be visualized. In other words, an atmospheric flow measurement image can be displayed.
<Operation of the fourth embodiment>

Next, the operation will be described with reference to a flowchart (FIG. 16) showing an example of a processing procedure in the atmospheric measurement system 20.

First, using the function of the selection unit 14, the user operates the image processing device 2 to set whether or not to display a flow measurement image. In addition, when displaying the flow measurement image, the display format is set, such as whether the flow measurement image and the temperature distribution image are displayed in a superimposed manner on the display device 13, or are displayed side by side vertically or horizontally.

In the image processing device 2, when the selection information by the user is read (step S21), the temperature distribution measurement process of the atmosphere is performed by the function of the temperature measurement unit 11 (step S22). Specifically, for example, in the same procedure as in the first embodiment, temperature data for calibration is acquired, a calculation formula for atmospheric temperature is determined, the temperature data is acquired, and the determined atmospheric temperature is calculated. For example, the atmospheric temperature TA is calculated for each pixel using a formula, and the atmospheric temperature distribution in the measurement target space is obtained and stored in the storage unit 2a.

Subsequently, in the process of step S21, if the display of the flow measurement image is instructed (step S23), the process moves to step S24, and the function of the flow measurement unit 12 performs atmospheric flow measurement processing. In addition, it is preferable that the temperature data used by the flow measurement part 12 be the temperature data stored in the storage part 2a by the atmospheric temperature distribution measurement process.

If the display of the flow measurement image is not instructed in the process of step S21, and if the atmospheric flow measurement process is completed in step S24, the process moves to step S25 and the display process is performed. At this time, if display of the flow measurement image is not instructed in step S21, an atmospheric temperature distribution image is displayed on the display device 13. In addition, if display of the flow measurement image is instructed, the atmospheric temperature distribution image and the flow measurement image corresponding to the same time are displayed in a superimposed manner or displayed side by side, according to the instructions. It is displayed on the device 13.

If switching of the display screen is instructed by the function of the selection unit 14 (step S26), the process returns to step S25 and the display screen is switched according to the instruction. Then, if the operation to end the display of the atmospheric temperature distribution image and the flow measurement image is not performed, the process returns from step S27 to step S25 and the display process of the specified image is continuously executed, and when the end operation is performed (step S27), the process ends.

In this way, the atmospheric measurement system 20 according to the fourth embodiment can display both the flow measurement image and the temperature distribution image, so by referring to both, it is possible to determine the temperature and temperature of the atmosphere. You can easily visually recognize what is flowing. Therefore, analysis using a temperature distribution image can be easily performed, and it is particularly suitable for evaluating the efficiency of air conditioning equipment such as an air conditioner.

Note that in the fourth embodiment, a case has been described in which the temperature measuring device 10 in the first embodiment is applied as the temperature measuring section 11, but the temperature measuring device 10-1 or the temperature measuring device 10-1 in the second embodiment is used as the temperature measuring section 11. It is also possible to apply the temperature measuring device 10-2 in the third embodiment.

Further, in the fourth embodiment, the flow measurement unit 12 analyzes the temperature fluctuation distribution using the short-time Fourier transform method using the temperature data stored in the storage unit 2a in time series through the atmospheric temperature measurement process. Although the measurement image is displayed, it is not limited to this. As described in Patent Document 4, a method of acquiring flow measurement images using a short-time Fourier transform method and a method of acquiring flow measurement images using a bandpass filter method of acquiring temperature fluctuation distribution in real time. The configuration may be such that the flow measurement image can be acquired using either method, or the flow measurement image may be configured to be acquired using only the bandpass filter method. As long as the atmospheric flow measurement image can be displayed, there are no restrictions on the method of obtaining the temperature fluctuation distribution.

Note that in each of the above embodiments, an infrared camera is used as the infrared sensor, but an infrared light receiving element may be used as the infrared sensor. In this case, infrared light receiving elements having sensitivity characteristics equivalent to those of the infrared cameras 1A and 1B may be used as the infrared light receiving elements corresponding to the infrared cameras 1A and 1B, respectively. In this case as well, since it is not necessary to arrange the infrared light receiving element at the measurement point within the measurement target space, the infrared light receiving element can be easily installed. In particular, in order to detect the temperature distribution within the measurement target space, an infrared light receiving element must be placed at each measurement point. Since it is not necessary to arrange an infrared light receiving element at a certain point, even when a plurality of infrared light receiving elements are arranged, they can be easily arranged.

It should be noted that the scope of the present invention is not limited to the exemplary embodiments shown and described, but also includes all embodiments that provide equivalent effects to the object of the present invention. Moreover, the scope of the invention may be defined by any desired combinations of the specific features of each and every disclosed feature.

1A, 1B, 1C Infrared camera 2 Image processing device 2a Storage section 3 Filter wheel 3a Optical filter 10, 10-1, 10-2 Temperature measurement device 11 Temperature measurement section 12 Flow measurement section 13 Display device 14 Selection section 15 Display processing section 20 Atmospheric measurement system

Claims (9)

first temperature data that is temperature data based on infrared rays in a first wavelength band that are absorbed by the atmosphere out of the output of the infrared sensor, and the amount of infrared rays that is absorbed by the atmosphere; a temperature data acquisition unit that acquires second temperature data that is temperature data based on infrared rays in a second wavelength band that is less than infrared rays in the wavelength band;
a calculation processing unit that calculates the temperature of the atmosphere in the measurement target space based on the first temperature data and the second temperature data,
The arithmetic processing unit is configured to calculate atmospheric pressure in the measurement target space, which is preset based on the first temperature data and the second temperature data for calibration in the measurement target space, which are acquired by the temperature data acquisition unit. a memory unit that stores an arithmetic expression representing temperature;
a temperature calculation unit that calculates the temperature of the atmosphere in the measurement target space from the first temperature data and second temperature data for temperature measurement in the measurement target space acquired by the temperature data acquisition unit and the calculation formula; and,
Equipped with
A temperature measuring device characterized in that the arithmetic expression is expressed by the following expression .
TA=(D1-D2×(1-α1))/α1+γ
γ=(-β1+β2×(1-α1))/α1)
TA is the atmospheric temperature, D1 is the first temperature data, D2 is the second temperature data, α1 is the ratio of the atmospheric temperature included in the first temperature data D1, β1 is the bias value of the first temperature data D1, β2 is the bias value of the second temperature data D2. The arithmetic processing unit is
Based on the first temperature data and the second temperature data for calibration at a plurality of points in time, and a linear equation representing the relationship between the first temperature data for calibration and the second temperature data, The temperature measuring device according to claim 1, further comprising a preprocessing unit that searches for a parameter value that specifies an expression and specifies the arithmetic expression. The temperature data acquisition unit includes:
a first infrared camera sensitive to the first wavelength band;
3. The temperature measuring device according to claim 1, further comprising a second infrared camera having sensitivity in the second wavelength band as the infrared sensor. 4. The temperature measuring device according to claim 3 , wherein the first infrared camera has sensitivity in a wavelength band of 3 μm or more and 5 μm or less. 5. The temperature measuring device according to claim 3 , wherein the second infrared camera is sensitive to a wavelength range of 7 μm or more and 14 μm or less. The temperature data acquisition unit includes:
one infrared camera as the infrared sensor;
an optical filter attached to the infrared camera and having at least two different transmission wavelengths;
The transmission wavelength is in the first wavelength band or the second wavelength band,
The optical filter is switched, and temperature data transmitted through the first wavelength band is acquired as the first temperature data, and temperature data transmitted through the second wavelength band is acquired as the second temperature data. The temperature measuring device according to claim 1 or claim 2 . A temperature measurement method for calculating the atmospheric temperature in a measurement target space,
first temperature data that is temperature data based on infrared rays in a first wavelength band that are absorbed by the atmosphere out of the output of the infrared sensor, and the amount of infrared rays that is absorbed by the atmosphere; a temperature data acquisition unit that acquires second temperature data that is temperature data based on infrared rays in a second wavelength band that is less than infrared rays in the wavelength band;
acquiring, by the temperature data acquisition unit, the first temperature data and the second temperature data for calibration in the measurement target space;
identifying an arithmetic expression for calculating the temperature of the atmosphere in the measurement target space based on the acquired first temperature data and second temperature data for calibration;
acquiring, by the temperature data acquisition unit, the first temperature data and the second temperature data for temperature measurement in the measurement target space;
a step of calculating the temperature of the atmosphere in the measurement target space based on the first temperature data and the second temperature data for temperature measurement and the calculation formula ,
A temperature measuring method characterized in that the arithmetic expression is expressed by the following expression .
TA=(D1-D2×(1-α1))/α1+γ
γ=(-β1+β2×(1-α1))/α1)
TA is the atmospheric temperature, D1 is the first temperature data, D2 is the second temperature data, α1 is the ratio of the atmospheric temperature included in the first temperature data D1, β1 is the bias value of the first temperature data D1, β2 is the bias value of the second temperature data D2. The temperature measuring device according to any one of claims 1 to 6 , which calculates the temperature of the atmosphere in the measurement target space;
a flow measurement device that measures atmospheric flow in the measurement target space;
A temperature distribution image representing the temperature of the atmosphere at a plurality of points in the measurement target space calculated by the temperature measurement device, and a flow measurement image representing the flow of the atmosphere in the measurement target space measured by the flow measurement device. A display processing unit that displays on a display device,
The atmospheric measurement system is characterized in that the display processing unit displays the temperature distribution image and the flow measurement image in a superimposed manner or side by side. comprising a selection unit for selecting which image to display between the temperature distribution image and the flow measurement image;
8. The display processing section displays either or both of the temperature distribution image and the flow measurement image on the display device according to the selection made by the selection section. Atmospheric measurement system described in.

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