阅读说明：本技术 一种无挡片红外测温方法及装置 (Barrier-free infrared temperature measurement method and device ) 是由 陆桂富 范少华 于 2019-10-18 设计创作，主要内容包括：本发明揭示了一种无挡片红外测温方法及装置,在红外热成像仪机芯无挡片的情况下,通过采集机芯在不同环境温度下热机稳定后的数据,计算出虚拟环境温度及虚拟目标灰度,进一步根据目标温度变化时对应的灰度变化获得预估目标温度,最后根据探测器温度变化情况并结合预估目标温度,进行温度修正,获得精确测量的目标温度。本发明能够准确、稳定的测量目标温度。(The invention discloses a barrier-free infrared temperature measurement method and a barrier-free infrared temperature measurement device, under the condition that a movement of an infrared thermal imager has no barrier, the virtual environment temperature and the virtual target gray scale are calculated by collecting data after the heat engine of the movement is stabilized at different environment temperatures, the estimated target temperature is further obtained according to the corresponding gray scale change when the target temperature changes, and finally, the temperature is corrected according to the change condition of the temperature of a detector and the estimated target temperature to obtain the accurately measured target temperature. The invention can accurately and stably measure the target temperature.)

1. A barrier-free infrared temperature measurement method is characterized by comprising the following steps:

s100, acquiring the temperature and target gray scale of a detector of an infrared thermal imager core after thermal engine stabilization at different environmental temperatures;

step S200, establishing a multiple linear regression model I for calculating a virtual environment temperature Ts according to the detector temperature and a multiple linear regression model II for calculating a virtual target gray level Gs according to the virtual environment temperature Ts according to the data acquired in the step S100, and further calculating the virtual environment temperature Ts and the virtual target gray level Gs at different detector temperatures;

step S300, setting at least three black bodies, setting different target temperatures for each black body, and collecting gray data of each target temperature at different detector temperatures after the fully cooled movement is started;

step S400, establishing a multiple linear regression model III for calculating the temperature difference delta T corresponding to the gray level difference delta G according to the detector temperature according to the data collected in the step S300, further calculating the temperature difference delta T corresponding to the gray level difference delta G under different detector temperatures, and estimating the target temperature Te as Ts plus delta T;

and step S500, correcting the estimated target temperature Te obtained in the step S400 according to the change rate of the detector temperature when the machine core is in a state from a cold machine to a hot machine, obtaining the temperature difference delta T 'needing to be corrected, and further obtaining the target temperature T-Te-delta T'.

2. The method of claim 1, wherein in step S200, the multiple linear regression model i is:

wherein T0-Tn is the ambient temperature, V0-Vn is the detector temperature corresponding to the ambient temperature T0-Tn, beta-N (0, sigma)²)。

3. The method of claim 1, wherein in step S200, the multiple linear regression model ii is:

wherein T0-Tn is the ambient temperature, G0-Gn is the target gray corresponding to the ambient temperature T0-Tn, V0-Vn is the detector temperature corresponding to the ambient temperature T0-Tn, beta-N (0, sigma)²)。

4. The method according to claim 1, wherein in step S300, three black bodies are set, and target temperatures of the three black bodies are set, respectivelyIs T_A、T_BAnd T_CWherein, T_B-T_A<10℃，T_C-T_B>80℃。

5. The method of claim 4, wherein in step S200, the multiple linear regression model III is:

wherein, V₀～V_nFor the detector temperature,. DELTA.G₀～△G_nFor the detector temperature V₀～V_nCorresponding gray scale difference, Δ T₀＝T_B-T_A，△T₁＝T_C-T_B。

6. The method according to claim 1, characterized in that in step S500, the temperature difference Δ T' to be corrected is obtained according to the following steps:

step S501, setting a blackbody with a target temperature Td;

step S502, calculating the difference between the target temperature Td and the estimated target temperature Te at different detector temperatures and the change rate of the detector temperature;

and step S503, establishing a multiple linear regression equation IV for calculating the temperature difference Delta T 'required to be corrected according to the change rate of the temperature of the detector and further calculating the temperature difference Delta T' required to be corrected at different temperatures of the detector according to the data obtained in the step S502.

7. The method of claim 6, wherein the multiple linear regression equation IV is:

wherein, Delta T₀′～△T_nIs the probe temperature V₀～V_nCorresponding temperature difference，VV₀～VV_nFor the detector temperature V₀～V_nCorresponding rate of change of detector temperature.

8. The method according to claim 1, wherein the ambient temperature ranges from-20 ℃ to 60 ℃ in step S100.

9. A barrier-free infrared temperature measuring device is characterized by comprising

The high-low temperature environment data acquisition module is used for acquiring the temperature and the target gray level of a detector of the infrared thermal imager core after the thermal engine is stabilized at different environment temperatures;

the first data processing module is used for establishing a multiple linear regression model I for calculating the virtual environment temperature Ts according to the detector temperature and a multiple linear regression model II for calculating the virtual target gray level Gs at different detector temperatures according to the virtual environment temperature Ts according to the data acquired by the high and low temperature environment data acquisition module, and further calculating the virtual environment temperature Ts and the virtual target gray level Gs at different detector temperatures;

the gain acquisition module is used for setting at least three black bodies, setting different target temperatures for each black body, and acquiring gray data of each target temperature at different detector temperatures after the fully cooled machine core is started;

the second data processing module is used for establishing a multiple linear regression model III for calculating the temperature difference delta T corresponding to the gray level difference delta G according to the detector temperature according to the data acquired by the gain acquisition module, further calculating the temperature difference delta T corresponding to the gray level difference delta G at different detector temperatures and estimating the target temperature Te as Ts plus delta T;

and the temperature correction module is used for correcting the estimated target temperature Te according to the change rate of the temperature of the detector when the machine core is in a state from the cold machine to the heat machine, so as to obtain the temperature difference Delta T 'required to be corrected, and further obtain the target temperature T ═ Te-Delta T'.

10. The apparatus of claim 9, wherein the gain acquisition module sets three blacksA body, and setting target temperatures of three black bodies as T_A、T_BAnd T_CWherein, T_B-T_A<10℃，T_C-T_B>80℃。

Technical Field

The invention relates to the technical field of infrared image processing, in particular to a barrier-free infrared temperature measurement method and device.

Background

With the development of electronic technology, infrared imaging and infrared temperature measurement are more and more widely applied to a plurality of fields of production and life of people. The infrared temperature measurement technology plays an important role in the aspects of product quality control and monitoring, online fault diagnosis and safety protection of equipment, energy conservation and the like in the production process.

The barrier-free thermal imager has the continuous observation advantage in the aspect of image observation, thereby being more and more popular. However, the barrier-free thermal imager removes the barrier, and the barrier is an important structure in the traditional thermal imager, so that the barrier-free thermal imager can eliminate the temperature drift of the infrared detector and has direct influence on temperature measurement.

At present, a thermal imager without a baffle is influenced by the temperature of equipment and an optical structure, and is often low in temperature measurement precision, large in temperature measurement precision fluctuation and poor in stability.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides a barrier-free infrared temperature measurement method and device with high precision and high stability.

In order to achieve the purpose, the invention provides the following technical scheme: a barrier-free infrared temperature measurement method comprises the following steps:

s100, acquiring the temperature and target gray scale of a detector of a core after the core is thermally stabilized at different environmental temperatures;

step S200, establishing a multiple linear regression model I for calculating the virtual environment temperature Ts according to the detector temperature and a multiple linear regression model II for calculating the virtual target gray level Gs at different detector temperatures according to the virtual environment temperature Ts according to the data acquired in the step S100, and further calculating the virtual environment temperature Ts and the virtual target gray level Gs at different detector temperatures;

step S300, setting at least three black bodies, setting different target temperatures for each black body, and collecting gray data of each target temperature at different detector temperatures after the fully cooled movement is started;

step S400, establishing a multiple linear regression model III for calculating the temperature difference delta T corresponding to the gray level difference delta G according to the detector temperature according to the data collected in the step S300, further calculating the temperature difference delta T corresponding to the gray level difference delta G under different detector temperatures, and estimating the target temperature Te as Ts plus delta T;

and step S500, correcting the estimated target temperature Te obtained in the step S400 according to the change rate of the detector temperature when the machine core is in a state from a cold machine to a hot machine, obtaining the temperature difference delta T 'needing to be corrected, and further obtaining the target temperature T-Te-delta T'.

Preferably, in step S200, the multiple linear regression model i is:

wherein T0-Tn is a ringThe ambient temperature, V0-Vn is the detector temperature corresponding to the ambient temperature T0-Tn, beta-N (0, sigma)²)。

Preferably, in step S200, the multiple linear regression model ii is:

wherein T0-Tn is the ambient temperature, G0-Gn is the target gray corresponding to the ambient temperature T0-Tn, V0-Vn is the detector temperature corresponding to the ambient temperature T0-Tn, beta-N (0, sigma)²)。

Preferably, in step S300, three black bodies are set, and target temperatures of the three black bodies are set to T, respectively_A、T_BAnd T_CWherein, T_B-T_A<10℃，T_C-T_B>80℃。

Preferably, in step S200, the multiple linear regression model iii is:

wherein, V₀～V_nFor the detector temperature,. DELTA.G₀～△G_nFor the detector temperature V₀～V_nCorresponding gray scale difference, Δ T₀＝T_B-T_A，△T₁＝T_C-T_B。

Preferably, in step S500, the temperature difference Δ T' to be corrected is obtained according to the following steps:

step S501, setting a blackbody with a target temperature Td;

step S502, calculating the difference between the target temperature Td and the estimated target temperature Te at different detector temperatures and the change rate of the detector temperature;

step S503, establishing a multiple linear regression equation IV for calculating the temperature difference Delta T 'required to be corrected according to the change rate of the detector temperature according to the data obtained in step S502, and further calculating the temperature difference Delta T' required to be corrected according to the change rate of the detector temperature.

Preferably, the multiple linear regression equation iv is:

wherein, Delta T₀′～△T_nIs the probe temperature V₀～V_nCorresponding temperature difference, VV₀～VV_nFor the detector temperature V₀～V_nCorresponding rate of change of detector temperature.

Preferably, in step S100, the ambient temperature ranges from-20 ℃ to 60 ℃.

The invention also discloses a non-baffle infrared temperature measuring device, which comprises

The high-low temperature environment data acquisition module is used for acquiring the temperature and the target gray level of the detector after the heat engine of the machine core is stabilized at different environment temperatures;

the first data processing module is used for establishing a multiple linear regression model I for calculating the virtual environment temperature Ts according to the detector temperature and a multiple linear regression model II for calculating the virtual target gray level Gs at different detector temperatures according to the virtual environment temperature Ts according to the data acquired by the high and low temperature environment data acquisition module, and further calculating the virtual environment temperature Ts and the virtual target gray level Gs at different detector temperatures;

the gain acquisition module is used for setting at least three black bodies, setting different target temperatures for each black body, and acquiring gray data of each target temperature at different detector temperatures after the fully cooled machine core is started;

the second data processing module is used for establishing a multiple linear regression model III for calculating the temperature difference delta T corresponding to the gray level difference delta G according to the detector temperature according to the data acquired by the gain acquisition module, further calculating the temperature difference delta T corresponding to the gray level difference delta G at different detector temperatures and estimating the target temperature Te as Ts plus delta T;

and the temperature correction module is used for correcting the estimated target temperature Te obtained in the step S400 according to the change rate of the detector temperature when the machine core is in a state from the cold machine to the hot machine, so as to obtain the temperature difference delta T 'required to be corrected, and further obtain the target temperature T-Te-delta T'.

Preferably, the gain acquisition module is provided with three black bodies, and the target temperatures of the three black bodies are respectively set to be T_A、T_BAnd T_CWherein, T_B-T_A<10℃，T_C-T_B>80℃。

The invention has the beneficial effects that:

(1) the invention can calculate the virtual environment temperature and the virtual target gray scale by collecting the data of the core after the heat engine is stabilized under different environment temperatures under the condition without a baffle plate, further obtain the estimated target temperature according to the corresponding gray scale change when the target temperature changes, and finally correct the temperature according to the temperature change condition of the detector and the estimated target temperature to obtain the target temperature which is accurately measured;

(2) the invention can also adjust the temperature difference to be corrected in real time, thereby realizing the function of accurate temperature measurement.

Drawings

FIG. 1 is a schematic flow chart of the method of the present invention;

fig. 2 is a block diagram of the apparatus of the present invention.

Detailed Description

The technical solution of the embodiment of the present invention will be clearly and completely described below with reference to the accompanying drawings of the present invention.

According to the barrier-free infrared temperature measurement method disclosed by the invention, under the condition that an infrared core does not have a mechanical barrier, the virtual environment temperature and the virtual target gray scale are calculated by collecting data after the core is thermally stabilized at different environment temperatures, the estimated target temperature is further obtained according to the corresponding gray scale change when the target temperature changes, and finally, temperature correction is carried out according to the temperature change condition of a detector and the estimated target temperature to obtain the accurate target temperature.

As shown in FIG. 1, the infrared temperature measurement method without a baffle plate disclosed by the invention comprises the following steps:

s100, acquiring the temperature and target gray scale of a detector of a core after the core is thermally stabilized at different environmental temperatures;

step S200, establishing a multiple linear regression model I for calculating a virtual environment temperature Ts according to the detector temperature and a multiple linear regression model II for calculating a virtual target gray level Gs according to the virtual environment temperature Ts according to the data acquired in the step S100, and further calculating the virtual environment temperature Ts and the virtual target gray level Gs at different detector temperatures;

specifically, when the method is implemented, the infrared thermal imager core is placed in a high-low temperature box for data acquisition, namely, the environmental temperature of the high-low temperature box is set to be T0, such as-20 ℃, and the detector temperature V0 and the temperature-dependent target gray level G0 are acquired when the environmental temperature is T0 after the core thermal engine is stabilized; secondly, setting the environmental temperature of the high-low temperature box to be T1, such as-15 ℃ or-10 ℃, acquiring the detector temperature V1 and the temperature-dependent target gray scale G1 when the environmental temperature is T1 after the heat engine of the engine is stable, wherein the temperature-dependent target temperature means that the target temperature is the same as the environmental temperature; and by analogy, gradually increasing the ambient temperature of the high-low temperature box, gradually increasing the ambient temperature to Tn, and simultaneously acquiring the temperature of the detector and the target gray level after the heat engine of the machine core is stabilized in different environments, thereby obtaining the data shown in the following table.

Watch 1

Detector temperature (Vtemp)	Temperature dependent target temperature (Gray)	Ambient temperature T	Target temperature Temp
				V0	G0	T0	T0
V1	G1	T1	T1
				V2	G2	T2	T2
…	…	…	…
				Vn	Gn	Tn	Tn