CN-121997290-A - Method, medium and equipment for constructing infrared temperature measurement curve model

Abstract

The invention provides a method, medium and equipment for constructing an infrared temperature measurement curve model, and relates to the technical field of infrared temperature measurement; the method comprises the steps of taking the AD values of a detector focal plane temperature, a lowest temperature point, an intermediate temperature point and a highest temperature point radiation calibration source as input, taking the AD values of the radiation calibration sources of the rest temperature points in a plurality of radiation calibration sources as output, constructing a multiple linear regression model, obtaining the AD values of the detector focal plane temperature of the infrared thermal imaging equipment to be constructed, the acquired AD values of the lowest temperature point, the intermediate temperature point and the highest temperature point radiation calibration source, inputting the AD values into the multiple linear regression model to obtain the predicted AD values of the rest temperature point radiation calibration sources, and performing curve fitting based on the acquired AD values and the predicted AD values to obtain an infrared temperature measurement curve model. The method can improve the construction efficiency of the infrared temperature measurement curve model.

Inventors

• HUANG CHENG
• LUO JUNJIE
• PAN XIANG
• DENG SISI

Assignees

• 武汉高德智感科技有限公司

Dates

Publication Date

20260508

Application Date

20251226

Claims (10)

1. 1. The method for constructing the infrared temperature measurement curve model is characterized by comprising the following steps of: S100, acquiring focal plane temperatures of detectors of a plurality of infrared thermal imaging devices at a plurality of environmental temperatures and AD values of a plurality of radiation calibration sources acquired by the devices; S200, taking the focal plane temperature of a detector of the infrared thermal imaging equipment and AD values of the radiation calibration sources of the lowest temperature point, the middle temperature point and the highest temperature point in the plurality of radiation calibration sources as inputs, and taking AD values of the radiation calibration sources of the rest temperature points in the plurality of radiation calibration sources as outputs to construct a multiple linear regression model; S300, acquiring the focal plane temperature of a detector of the infrared thermal imaging equipment to be constructed at an ambient temperature, and AD values of the acquired radiation calibration sources of the lowest temperature point, the middle temperature point and the highest temperature point, inputting the multiple linear regression model to obtain predicted AD values of the radiation calibration sources of the rest temperature points, and performing curve fitting based on the acquired AD values and the predicted AD values to obtain the infrared temperature measurement curve model of the infrared thermal imaging equipment to be constructed.
2. 2. The method according to claim 1, wherein in the step S100, the number of infrared thermal imaging devices is not less than 10.
3. 3. The method for constructing an infrared thermometry model according to claim 1, wherein in step S100, the focal plane temperature of the detector of the infrared thermal imaging device and the acquired AD values of the plurality of radiometric calibration sources are obtained by placing a plurality of infrared thermal imaging devices at a plurality of ambient temperatures for a first period of time, then starting up for a second period of time, and acquiring after the devices are stabilized.
4. 4. The method for constructing an infrared thermometry curve model according to claim 3, wherein the plurality of ambient temperatures are within a range of 5 ℃ to 35 ℃.
5. 5. The method for constructing an infrared thermometry curve model according to claim 3, wherein the first time period is 1 hour or more.
6. 6. The method of constructing an infrared thermometry curve model according to claim 3, wherein the second time period is 1.5 hours or longer.
7. 7. The method according to claim 1, wherein in the step S200, the multiple linear regression model is calculated as follows: Wherein, the The AD values of the calibration sources are radiometric for the remaining temperature points of the plurality of radiometric calibration sources, For infrared thermal imaging device detector focal plane temperature, The AD value of the radiation-scaled source for the lowest temperature point of the plurality of radiation-scaled sources, The intermediate temperature point radiates the AD value of the calibration source, The AD value of the source is scaled for the highest temperature point radiation, Is a coefficient.
8. 8. The method of claim 7, wherein constructing a multiple linear regression model includes substituting the input and the output into the multiple linear regression model calculation formula to solve for the coefficients to determine a multiple linear regression model expression between the input and the output.
9. 9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method for constructing an infrared thermometry curve model according to any one of claims 1 to 8.
10. 10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for constructing an infrared thermometry curve model according to any one of claims 1-8 when the program is executed by the processor.

Description

Method, medium and equipment for constructing infrared temperature measurement curve model Technical Field The invention relates to the technical field of infrared temperature measurement, in particular to a method, a medium and equipment for constructing an infrared temperature measurement curve model. Background At present, the infrared thermal imaging equipment is widely applied to various fields such as medical treatment, construction, electric power, fire protection and the like, and plays an irreplaceable role in a scene requiring rapid identification of temperature difference due to the characteristics of non-contact temperature measurement, visual heat distribution, adaptation to complex environments and the like. However, the infrared thermal imaging device can perform temperature measurement, and is indistinguishable from the construction method of the infrared temperature measurement model. At present, most of methods for constructing an infrared temperature measurement model collect AD values of a plurality of different radiometric calibration sources for curve fitting, and in order to ensure accuracy of temperature measurement results, the number of the radiometric calibration sources is required. Theoretically, the greater the number of radiation calibration sources, the more accurate the curve fit and the more accurate the infrared thermal imaging device will be in making temperature measurements. In general, an infrared thermal imaging device needs to acquire AD values of at least 7 radiometric calibration sources at different ambient temperatures for curve fitting, and the number of radiometric calibration sources needed for different temperature measurement ranges is also different. In addition, because of certain difference between each equipment, each equipment needs to be collected independently, so that the production burden is greatly increased, and the actual production efficiency is reduced. Disclosure of Invention The invention aims to provide a method, medium and equipment for constructing an infrared temperature measurement curve model, and aims to construct the infrared temperature measurement curve model on the premise of reducing the number of radiation calibration sources, so that the data quantity of the calibration sources required to be acquired in the construction process is reduced, and the construction efficiency of the infrared temperature measurement curve model is improved. The specific technical scheme is as follows: An infrared temperature measurement curve model construction method comprises the following steps: S100, acquiring focal plane temperatures of detectors of a plurality of infrared thermal imaging devices at a plurality of environmental temperatures and AD values of a plurality of radiation calibration sources acquired by the devices; S200, taking the focal plane temperature of a detector of the infrared thermal imaging equipment and AD values of the radiation calibration sources of the lowest temperature point, the middle temperature point and the highest temperature point in the plurality of radiation calibration sources as inputs, and taking AD values of the radiation calibration sources of the rest temperature points in the plurality of radiation calibration sources as outputs to construct a multiple linear regression model; S300, acquiring the focal plane temperature of a detector of the infrared thermal imaging equipment to be constructed at an ambient temperature, and AD values of the acquired radiation calibration sources of the lowest temperature point, the middle temperature point and the highest temperature point, inputting the multiple linear regression model to obtain predicted AD values of the radiation calibration sources of the rest temperature points, and performing curve fitting based on the acquired AD values and the predicted AD values to obtain the infrared temperature measurement curve model of the infrared thermal imaging equipment to be constructed. Further, in the step S100, the number of infrared thermal imaging apparatuses is not less than 10. Further, in step S100, the focal plane temperature of the infrared thermal imaging device detector and the acquired AD values of the plurality of radiometric calibration sources are obtained by placing the plurality of infrared thermal imaging devices at a plurality of ambient temperatures for a first period of time, starting up for a second period of time, and acquiring after the devices are stabilized. Further, the plurality of ambient temperatures are within a range of 5 ℃ to 35 ℃. Further, the first period of time is 1 hour or longer. Further, the second period of time is 1.5 hours or longer. Further, in the step S200, the multiple linear regression model is calculated as follows: Wherein, the The AD values of the calibration sources are radiometric for the remaining temperature points of the plurality of radiometric calibration sources,For infrared thermal imaging device detector fo