阅读说明：本技术 一种智能跟踪肢体位置并进行分区温度调节方法 (Method for intelligently tracking limb position and performing zonal temperature adjustment ) 是由 赵隆超 罗竟成 孙彩昕 董辉 于 2021-08-31 设计创作，主要内容包括：本发明公开了一种智能跟踪肢体位置并进行分区温度调节方法,包括：获取生命体上的若干温度监测点形成的生命体的温度值矩阵；将所述温度值矩阵输入肢体位置识别模型中,确定所述温度值矩阵对应的若干个肢体位置；将所述若干个肢体位置的分区温度分别与对应的预设分区温度进行比较,根据比较结果对肢体位置进行温度调节。温度检测误差低,使得温度调节更加准确,在对生命体的全身或者局部进行温度控制时,根据肢体位置的温度及对应的分区温度进行相应的调节控制,提高治疗效果。(The invention discloses a method for intelligently tracking the position of a limb and adjusting the temperature of the limb in a subarea manner, which comprises the following steps: acquiring a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body; inputting the temperature value matrix into a limb position identification model, and determining a plurality of limb positions corresponding to the temperature value matrix; and comparing the partition temperatures of the plurality of limb positions with corresponding preset partition temperatures respectively, and adjusting the temperature of the limb positions according to the comparison result. The temperature detection error is low, so that the temperature regulation is more accurate, and when the temperature of the whole body or part of a living body is controlled, the corresponding regulation control is carried out according to the temperature of the limb position and the corresponding zone temperature, and the treatment effect is improved.)

1. A method for intelligently tracking the position of limbs and performing zonal temperature regulation is characterized by comprising the following steps: acquiring a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body;

inputting the temperature value matrix into a limb position identification model, and determining a plurality of limb positions corresponding to the temperature value matrix;

and comparing the partition temperatures of the plurality of limb positions with corresponding preset partition temperatures respectively, and adjusting the temperature of the limb positions according to the comparison result.

2. The method for intelligently tracking limb positions and performing zonal thermoregulation as claimed in claim 1, wherein the limb position identification model comprises a life body diagram and temperature information of all limbs on the life body diagram.

3. The method for intelligently tracking limb positions and performing zoned thermoregulation as recited in claim 1, further comprising:

acquiring an acceleration value matrix of the living body formed by a plurality of acceleration monitoring points on the living body;

inputting the acceleration value matrix into a pre-trained limb action recognition model to determine the limb action of the living body;

and correcting preset partition temperatures of a plurality of limb positions according to the limb actions, and comparing the partition temperatures of the plurality of limb positions with the corresponding corrected preset partition temperatures respectively.

4. The method for intelligently tracking the position of a limb and performing zonal thermoregulation as recited in claim 1, further comprising, before inputting the matrix of temperature values into a limb position recognition model:

acquiring the environmental temperature of the position of a living body;

and determining a correction parameter for correcting the temperature value matrix according to the environment temperature to obtain a corrected temperature value matrix.

5. The method for intelligently tracking the position of limbs and adjusting the temperature in different zones as claimed in claim 1, wherein the temperature monitoring points are provided with non-contact temperature sensors.

6. The method for intelligently tracking the position of limbs and adjusting the temperature in different zones as claimed in claim 1, wherein the step of obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body comprises the following steps:

and acquiring a temperature value matrix based on a preset sampling period, and taking the latter temperature value matrix of the two adjacent temperature value matrices as final monitoring data when determining that the difference degree of the two adjacent temperature value matrices is smaller than the preset difference degree.

7. The method for intelligently tracking the position of limbs and adjusting the temperature in different zones according to claim 1, wherein the step of obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body comprises the following steps:

comparing the temperature value matrix with a preset temperature value matrix, judging whether the temperature value matrix is complete or not, and determining a first target area when the temperature value matrix is determined to be incomplete;

determining a first preset area in the preset temperature value matrix, wherein the first preset area comprises a second target area corresponding to the first target area, and calculating to obtain an incidence relation between data of the second target area and data of other areas except the second target area in the first preset area;

determining a second preset area in the temperature value matrix, wherein the second preset area comprises the first target area, and calculating to obtain target data corresponding to the first target area according to the incidence relation and data of other areas except the first target area in the second preset area;

supplementing the target data into the temperature value matrix.

8. The method for intelligently tracking limb positions and performing zoned thermoregulation as recited in claim 1, further comprising:

and calculating to obtain the average temperature according to the temperature value matrix, and sending an alarm prompt when the average temperature is determined to be greater than the preset average temperature.

9. The method for intelligently tracking the position of limbs and adjusting the temperature in different zones as claimed in claim 1, further comprising, before obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body:

scanning a living body to obtain three-dimensional point cloud data;

constructing a three-dimensional graph according to the three-dimensional point cloud data;

carrying out bilateral filtering smoothing treatment on the three-dimensional graph, determining edge points of the life body, and connecting the edge points to obtain the contour of the life body;

and determining the number of the temperature monitoring points according to the contour of the living body and the detection range of the temperature detection module.

10. The method for intelligently tracking the position of the limb and performing zonal thermoregulation as recited in claim 1, further comprising, after performing thermoregulation on the position of the limb based on the comparison result:

acquiring a first infrared image comprising a living body and a reference object; performing image segmentation processing on the first infrared image to obtain a living body image and a reference object image;

acquiring the air temperature and the air humidity of the environment where the living body is located;

determining a first temperature of a reference object according to the corresponding relation between the air temperature and the air humidity and the temperature of the reference object;

acquiring a temperature gray value of the reference object image, and determining a second temperature of the reference object;

establishing a correlation between a first temperature and a second temperature of the reference object;

acquiring a temperature gray value of a living body image, and determining a first temperature of the living body;

obtaining a second temperature of the living body according to the first temperature of the living body and the incidence relation;

and judging whether the second temperature of the living body is within a preset temperature range or not, and sending an alarm prompt when the second temperature of the living body is determined not to be within the preset temperature range.

Technical Field

The invention relates to the technical field of temperature regulation, in particular to a method for intelligently tracking the position of a limb and regulating the temperature in a subarea.

Background

Some patients require temperature control, either systemically or locally, such as frostbite treatment, hyperthermia, cryotherapy. The problem that temperature detection errors are high in the prior art and temperature adjustment is inaccurate occurs, and meanwhile when temperature control is performed on the whole body or part of a living body, corresponding adjustment control cannot be performed according to the temperature of the position of the limbs and the corresponding zone temperature, so that the treatment effect is poor.

Disclosure of Invention

The present invention is directed to solving, at least to some extent, one of the technical problems in the art described above. Therefore, the invention aims to provide a method for intelligently tracking the position of the limb and adjusting the temperature in the subareas, which has low temperature detection error and more accurate temperature adjustment, and can carry out corresponding adjustment control according to the temperature of the position of the limb and the corresponding subarea temperature when carrying out temperature control on the whole body or part of a living body, thereby improving the treatment effect.

In order to achieve the above object, an embodiment of the present invention provides a method for intelligently tracking a position of a limb and performing zonal temperature adjustment, including: acquiring a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body;

inputting the temperature value matrix into a limb position identification model, and determining a plurality of limb positions corresponding to the temperature value matrix;

and comparing the partition temperatures of the plurality of limb positions with corresponding preset partition temperatures respectively, and adjusting the temperature of the limb positions according to the comparison result.

According to some embodiments of the invention, the limb position identification model comprises a vital body map and temperature information of all limbs on the vital body map.

According to some embodiments of the invention, further comprising:

acquiring an acceleration value matrix of the living body formed by a plurality of acceleration monitoring points on the living body;

inputting the acceleration value matrix into a pre-trained limb action recognition model to determine the limb action of the living body;

and correcting preset partition temperatures of a plurality of limb positions according to the limb actions, and comparing the partition temperatures of the plurality of limb positions with the corresponding corrected preset partition temperatures respectively.

According to some embodiments of the invention, before inputting the matrix of temperature values into the limb position identification model, the method further comprises:

acquiring the environmental temperature of the position of a living body;

and determining a correction parameter for correcting the temperature value matrix according to the environment temperature to obtain a corrected temperature value matrix.

According to some embodiments of the invention, the temperature monitoring point is provided with a contactless temperature sensor.

According to some embodiments of the invention, obtaining a temperature value matrix of a living being formed of a plurality of temperature monitoring points on the living being comprises:

and acquiring a temperature value matrix based on a preset sampling period, and taking the latter temperature value matrix of the two adjacent temperature value matrices as final monitoring data when determining that the difference degree of the two adjacent temperature value matrices is smaller than the preset difference degree.

According to some embodiments of the invention, the obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body comprises:

comparing the temperature value matrix with a preset temperature value matrix, judging whether the temperature value matrix is complete or not, and determining a first target area when the temperature value matrix is determined to be incomplete;

determining a first preset area in the preset temperature value matrix, wherein the first preset area comprises a second target area corresponding to the first target area, and calculating to obtain an incidence relation between data of the second target area and data of other areas except the second target area in the first preset area;

determining a second preset area in the temperature value matrix, wherein the second preset area comprises the first target area, and calculating to obtain target data corresponding to the first target area according to the incidence relation and data of other areas except the first target area in the second preset area;

supplementing the target data into the temperature value matrix.

According to some embodiments of the invention, further comprising:

and calculating to obtain the average temperature according to the temperature value matrix, and sending an alarm prompt when the average temperature is determined to be greater than the preset average temperature.

According to some embodiments of the present invention, before obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body, the method further comprises:

scanning a living body to obtain three-dimensional point cloud data;

constructing a three-dimensional graph according to the three-dimensional point cloud data;

carrying out bilateral filtering smoothing treatment on the three-dimensional graph, determining edge points of the life body, and connecting the edge points to obtain the contour of the life body;

and determining the number of the temperature monitoring points according to the contour of the living body and the detection range of the temperature detection module.

According to some embodiments of the invention, after the temperature adjusting the limb position according to the comparison result, the method further comprises:

acquiring a first infrared image comprising a living body and a reference object; performing image segmentation processing on the first infrared image to obtain a living body image and a reference object image;

acquiring the air temperature and the air humidity of the environment where the living body is located;

determining a first temperature of a reference object according to the corresponding relation between the air temperature and the air humidity and the temperature of the reference object;

acquiring a temperature gray value of the reference object image, and determining a second temperature of the reference object;

establishing a correlation between a first temperature and a second temperature of the reference object;

acquiring a temperature gray value of a living body image, and determining a first temperature of the living body;

obtaining a second temperature of the living body according to the first temperature of the living body and the incidence relation;

and judging whether the second temperature of the living body is within a preset temperature range or not, and sending an alarm prompt when the second temperature of the living body is determined not to be within the preset temperature range.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a flow chart of a method for intelligently tracking limb position and performing zonal thermoregulation according to a first embodiment of the present invention;

FIG. 2 is a flow chart of a method for intelligently tracking limb position and performing zonal thermoregulation according to a second embodiment of the present invention;

fig. 3 is a flowchart of a method for intelligently tracking the position of a limb and performing zonal thermoregulation according to a third embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

As shown in fig. 1, an embodiment of the present invention provides a method for intelligently tracking a position of a limb and performing zonal thermoregulation, including steps S1-S3:

s1, obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body;

s2, inputting the temperature value matrix into a limb position identification model, and determining a plurality of limb positions corresponding to the temperature value matrix;

and S3, comparing the partition temperatures of the plurality of limb positions with the corresponding preset partition temperatures respectively, and adjusting the temperature of the limb positions according to the comparison result.

The working principle of the technical scheme is as follows: arranging a plurality of temperature monitoring points on a living body, and acquiring a temperature value matrix of the living body formed by the plurality of temperature monitoring points on the living body; the temperature information of each part of the body of the living body is obtained, the comprehensiveness of data is guaranteed, and the whole body can be conveniently and subsequently regulated and controlled. Inputting the temperature value matrix into a limb position identification model, and determining a plurality of limb positions corresponding to the temperature value matrix; the temperature of each part of the living body has some differences, and the limb position recognition model is obtained through training the collected sample data for multiple times, so that a plurality of corresponding limb positions can be conveniently obtained according to the temperature value matrix. The temperature value matrix includes temperature information between various parts of the living body. And comparing the partition temperatures of the plurality of limb positions with corresponding preset partition temperatures respectively, and adjusting the temperature of the limb positions according to the comparison result. Specifically, the temperature of the chest of the living body is 36.3 ℃, the preset temperature of the chest is 36.5 ℃, and the temperature of the chest needs to be raised. The preset partition temperature is determined when the living body is in a static state and in a standard environment.

The beneficial effects of the above technical scheme are that: the temperature detection error is low, so that the temperature regulation is more accurate, and when the temperature of the whole body or part of a living body is controlled, the corresponding regulation control is carried out according to the temperature of the limb position and the corresponding zone temperature, and the treatment effect is improved.

According to some embodiments of the invention, the limb position identification model comprises a vital body map and temperature information of all limbs on the vital body map.

As shown in fig. 2, according to some embodiments of the invention, further comprising:

s21, acquiring an acceleration value matrix of the living body formed by a plurality of acceleration monitoring points on the living body;

s22, inputting the acceleration value matrix into a pre-trained limb action recognition model to determine the limb action of the living body;

and S23, correcting the preset partition temperatures of a plurality of limb positions according to the limb actions, and comparing the partition temperatures of the plurality of limb positions with the corresponding corrected preset partition temperatures respectively.

The working principle and the beneficial effects of the technical scheme are as follows: acquiring an acceleration value matrix of the living body formed by a plurality of acceleration monitoring points on the living body; inputting the acceleration value matrix into a pre-trained limb action recognition model to determine the limb action of the living body; the acceleration of each part of the living body is obtained, and the motion posture information of each part in progress, namely the limb motion information of the living body is determined. And correcting preset partition temperatures of a plurality of limb positions according to the limb actions, and comparing the partition temperatures of the plurality of limb positions with the corresponding corrected preset partition temperatures respectively. When a living body acts on the limbs, the temperature of the limbs is increased in a subarea mode, therefore, the preset subarea temperature needs to be corrected, namely the temperature of a person under the action condition is obtained, when the subarea temperature is compared with the corresponding corrected preset subarea temperature, the temperature difference value needing to be adjusted is determined, the accuracy of temperature adjustment is convenient to guarantee, and the problem of inaccurate temperature adjustment caused by the action of the living body is avoided.

According to some embodiments of the invention, before inputting the matrix of temperature values into the limb position identification model, the method further comprises:

acquiring the environmental temperature of the position of a living body;

and determining a correction parameter for correcting the temperature value matrix according to the environment temperature to obtain a corrected temperature value matrix.

The working principle of the technical scheme is as follows: acquiring the environmental temperature of the position of a living body; and determining a correction parameter for correcting the temperature value matrix according to the environment temperature to obtain a corrected temperature value matrix.

The beneficial effects of the above technical scheme are that: the environment temperature has influence on a temperature value matrix acquired based on temperature monitoring points on the living body, correction parameters for correcting the temperature value matrix are determined according to the environment temperature, the accuracy of the acquired corrected temperature value matrix is guaranteed, the accuracy of an identification result output by the limb position identification model is improved, and the intelligent tracking of the limb position is realized.

According to some embodiments of the invention, the temperature monitoring point is provided with a contactless temperature sensor.

According to some embodiments of the invention, obtaining a temperature value matrix of a living being formed of a plurality of temperature monitoring points on the living being comprises:

and acquiring a temperature value matrix based on a preset sampling period, and taking the latter temperature value matrix of the two adjacent temperature value matrices as final monitoring data when determining that the difference degree of the two adjacent temperature value matrices is smaller than the preset difference degree.

The working principle of the technical scheme is as follows: and acquiring a temperature value matrix based on a preset sampling period, and taking the latter temperature value matrix of the two adjacent temperature value matrices as final monitoring data when determining that the difference degree of the two adjacent temperature value matrices is smaller than the preset difference degree.

The beneficial effects of the above technical scheme are that: the problem that the measured temperature value matrix is inaccurate after the living body just moves or just leaves a place with high or low ambient temperature is solved, multiple times of measurement are needed, when the difference degree of two adjacent measurements of a user is determined to be smaller than the preset difference degree, the temperature of the living body tends to be stable, and the measured temperature value matrix at the moment is used as final monitoring data. The accuracy of the acquired temperature value matrix is ensured.

According to some embodiments of the invention, the obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body comprises:

comparing the temperature value matrix with a preset temperature value matrix, judging whether the temperature value matrix is complete or not, and determining a first target area when the temperature value matrix is determined to be incomplete;

determining a first preset area in the preset temperature value matrix, wherein the first preset area comprises a second target area corresponding to the first target area, and calculating to obtain an incidence relation between data of the second target area and data of other areas except the second target area in the first preset area;

determining a second preset area in the temperature value matrix, wherein the second preset area comprises the first target area, and calculating to obtain target data corresponding to the first target area according to the incidence relation and data of other areas except the first target area in the second preset area;

supplementing the target data into the temperature value matrix.

The working principle of the technical scheme is as follows: the specific preset temperature value matrix comprises temperature information of 20 limb positions. Comparing the temperature value matrix with a preset temperature value matrix, judging whether the temperature value matrix is complete or not, and determining a first target area when the temperature value matrix is determined to be incomplete; that is, assuming that the measured temperature value matrix is 19 pieces of limb temperature information, the position of data missing is determined. Determining a first preset area in the preset temperature value matrix, wherein the first preset area comprises a second target area corresponding to the first target area, and calculating to obtain an incidence relation between data of the second target area and data of other areas except the second target area in the first preset area; namely, a corresponding first preset area is determined in a preset temperature value matrix, for example, the temperature information of 3 limb positions is included, wherein a second target area corresponding to the first target area is located at an intermediate position. Determining an incidence relation between the data of the second target area and the data of other areas except the second target area in the first preset area; determining a second preset area in the temperature value matrix, wherein the second preset area comprises the first target area, and calculating to obtain target data corresponding to the first target area according to the incidence relation and data of other areas except the first target area in the second preset area; supplementing the target data into the temperature value matrix.

The beneficial effects of the above technical scheme are that: when the temperature monitoring equipment of a certain temperature monitoring point is abnormal, because the temperature of adjacent parts of the life body has a certain incidence relation, the confirmed target data is deduced according to the incidence relation, and then the temperature value matrix is supplemented, the integrity of the temperature value matrix is ensured, and the integrity and the accuracy of the data are ensured.

According to some embodiments of the invention, further comprising:

and calculating to obtain the average temperature according to the temperature value matrix, and sending an alarm prompt when the average temperature is determined to be greater than the preset average temperature.

The working principle and the beneficial effects of the technical scheme are as follows: and calculating to obtain the average temperature according to the temperature value matrix, and sending an alarm prompt when the average temperature is determined to be greater than the preset average temperature. The body temperature of the living body is possibly abnormal, an alarm prompt is sent to observe in time, and corresponding treatment or other isolation measures are convenient to carry out in time.

According to some embodiments of the present invention, before obtaining a temperature value matrix of the living body formed by a plurality of temperature monitoring points on the living body, the method further comprises:

scanning a living body to obtain three-dimensional point cloud data;

constructing a three-dimensional graph according to the three-dimensional point cloud data;

carrying out bilateral filtering smoothing treatment on the three-dimensional graph, determining edge points of the life body, and connecting the edge points to obtain the contour of the life body;

and determining the number of the temperature monitoring points according to the contour of the living body and the detection range of the temperature detection module.

The working principle of the technical scheme is as follows: scanning a living body to obtain three-dimensional point cloud data; constructing a three-dimensional graph according to the three-dimensional point cloud data; carrying out bilateral filtering smoothing treatment on the three-dimensional graph, determining edge points of the life body, and connecting the edge points to obtain the contour of the life body; and determining the number of the temperature monitoring points according to the contour of the living body and the detection range of the temperature detection module.

The beneficial effects of the above technical scheme are that: the bilateral filtering smoothing processing method is based on the bilateral filtering smoothing processing method, so that the processing flow for confirming the edge points of the living body is simple, the calculation efficiency and the accuracy for determining the edge points are improved, the accuracy for determining the number of the temperature monitoring points is further improved, the living body can be conveniently subjected to comprehensive temperature monitoring and temperature regulation, and the comprehensiveness and the accuracy of temperature regulation and control are improved.

As shown in fig. 3, according to some embodiments of the present invention, after the temperature adjustment of the limb position according to the comparison result, the method further includes:

s4, acquiring a first infrared image comprising a living body and a reference object; performing image segmentation processing on the first infrared image to obtain a living body image and a reference object image;

s5, acquiring the air temperature and the air humidity of the environment where the living body is located;

s6, determining a first temperature of the reference object according to the corresponding relation between the air temperature and the air humidity and the temperature of the reference object;

s7, acquiring a temperature gray value of the reference object image, and determining a second temperature of the reference object;

s8, establishing a correlation relation between the first temperature and the second temperature of the reference object;

s9, acquiring a temperature gray value of the image of the living body, and determining a first temperature of the living body;

s10, obtaining a second temperature of the living body according to the first temperature of the living body and the incidence relation;

and S11, judging whether the second temperature of the living body is within a preset temperature range, and giving an alarm prompt when the second temperature of the living body is determined not to be within the preset temperature range.

The working principle of the technical scheme is as follows: after the temperature of the limb position is regulated according to the comparison result, the temperature regulation effect is detected, when the temperature regulation effect is abnormal, an alarm prompt is sent out in time, the previous temperature regulation is corrected in time, and the timeliness and the accuracy of the temperature regulation are guaranteed. When detecting the temperature regulation effect, the method specifically comprises the steps of acquiring a first infrared image comprising a living body and a reference object; performing image segmentation processing on the first infrared image to obtain a living body image and a reference object image; acquiring the air temperature and the air humidity of the environment where the living body is located; determining a first temperature of a reference object according to the corresponding relation between the air temperature and the air humidity and the temperature of the reference object; the influence of the air temperature and the air humidity on the first temperature of the detection reference object is avoided, the detection error is reduced, the accuracy of the first temperature of the obtained reference object is guaranteed, and the reference object is a non-living body. Acquiring a temperature gray value of the reference object image, and determining a second temperature of the reference object; and detecting the temperature of the reference object again based on the infrared detection equipment to obtain a temperature gray value, namely obtaining a second temperature of the reference object. Establishing a correlation between a first temperature and a second temperature of the reference object; acquiring a temperature gray value of a living body image, and determining a first temperature of the living body; obtaining a second temperature of the living body according to the first temperature of the living body and the incidence relation; the infrared detection device can generate drift, and the output quantity can change along with time when the input quantity of the sensor is not changed. This may lead to inaccuracy in the temperature detection of the living being after the temperature adjustment, and thus the second temperature of the living being is obtained based on the first temperature of the living being and the correlation; the accuracy of the temperature detection of the living body is ensured, and the detection precision is improved. And judging whether the second temperature of the living body is within a preset temperature range or not, and sending an alarm prompt when the second temperature of the living body is determined not to be within the preset temperature range.

The beneficial effects of the above technical scheme are that: when the temperature of the reference object is detected, the influence of the air temperature and the air humidity in the environment is avoided, the first temperature of the reference object is guaranteed, the accuracy of the incidence relation between the first temperature and the second temperature of the reference object is guaranteed, the second temperature of the life body is accurately detected, when the second temperature of the life body is determined to be not within the preset temperature range, the temperature adjusting effect is poor, abnormality exists, the temperature adjusting parameter is adjusted in time, the accuracy of temperature adjustment is guaranteed, and the user experience is improved.

In one embodiment, acquiring the temperature gray-scale value of the reference object image includes:

detecting thermal radiation of a reference object based on infrared detection equipment;

acquiring a power signal of thermal radiation of a reference object, converting the power signal into an electric signal, and calculating a temperature gray value of a reference object image:

wherein S is the temperature gray value of the reference object image; d is the aperture of the infrared detection equipment; lambda [ alpha ]₁Transmittance of infrared detection equipment; lambda [ alpha ]₂Is the permeability of the atmosphere; w is a gain coefficient of the infrared detection equipment; r (u) is the spectral responsivity of the infrared detection device; z (u) is the radiant emittance of the reference object; u. of₁The minimum value of the wavelength of the infrared detection equipment; u. of₂Is the maximum value of the wavelength of the infrared detection device.

The working principle and the beneficial effects of the technical scheme are as follows: detecting thermal radiation of a reference object based on infrared detection equipment; the power signal of the thermal radiation of the reference object is obtained and converted into an electric signal, and the temperature gray value of the image of the reference object is accurately calculated based on the formula, so that the accurate first temperature value of the reference object can be conveniently obtained.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.