CN114279575A - Method for acquiring environment temperature, human body temperature measurement method and device - Google Patents
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Abstract
The application discloses a method for acquiring environment temperature, a human body temperature measurement method and a device, wherein the method comprises the following steps: acquiring a plurality of target data obtained by shooting the environment where a human target is located, wherein each target data comprises image data and thermal imaging data which correspond to each other; obtaining a mean value of thermal imaging data of the human target from the plurality of target data; and obtaining the ambient temperature based on the mean value of the thermal imaging data of the human body target and the human body standard temperature. By means of the mode, the self-adaptive environment and human body temperature measurement effect can be guaranteed, meanwhile, the cost and complexity of equipment deployment are reduced, and the temperature measurement efficiency is improved.
Description
Technical Field
The present application relates to the field of human body temperature measurement technologies, and in particular, to a method for obtaining an ambient temperature, a human body temperature measurement method, and an apparatus.
Background
With the development of thermal imaging temperature measurement technology, thermal imaging cameras are widely used in various temperature measurement scenes, such as cable fire point detection, road bayonet human body temperature measurement, electronic equipment short circuit troubleshooting and the like. The thermal imaging temperature measurement technology is greatly influenced by environmental changes, and in an actual human body temperature measurement scene, if temperature correction is not carried out, the human body temperature calculation result can obviously deviate from a normal body temperature range. In the prior art, a black body device is reserved in a thermal imaging camera, the actual temperature of a black body and the thermal imaging data of the black body are referred to, the environment temperature is accurately obtained, and then the accurate temperature of a human body is calculated through the environment temperature and an atmosphere transmission model. The method of setting a black body in a thermal imaging camera is costly and complex to deploy.
Disclosure of Invention
The technical problem mainly solved by the application is to provide a method for obtaining an ambient temperature, a method for measuring a temperature of a human body and a device thereof, which can reduce the cost and complexity of equipment deployment and improve the temperature measurement efficiency while ensuring the realization of a self-adaptive environment and human body temperature measurement effect.
In order to solve the technical problem, the application adopts a technical scheme that: a method for acquiring ambient temperature is provided, which comprises the following steps: acquiring a plurality of target data obtained by shooting the environment where a human target is located, wherein each target data comprises image data and thermal imaging data which correspond to each other; obtaining a mean value of thermal imaging data of the human target from the plurality of target data; and obtaining the ambient temperature based on the mean value of the thermal imaging data of the human body target and the human body standard temperature.
In order to solve the above technical problem, another technical solution adopted by the present application is: a method for measuring the temperature of a human body is provided, which comprises the following steps: acquiring the ambient temperature by using the method for acquiring the ambient temperature in the technical scheme; acquiring real-time data obtained by shooting the environment, wherein the real-time data comprises real-time image data and real-time thermal imaging data which correspond to each other; and obtaining the temperature of each human body in the environment based on the environment temperature and the real-time data.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided an electronic device, comprising a memory and a processor coupled to each other, wherein the memory stores program instructions, and the processor is configured to execute the program instructions to implement the method for acquiring an ambient temperature and the method for measuring a temperature of a human body in the above technical solution.
In order to solve the above technical problem, another technical solution adopted by the present application is: a storage device is provided, which stores program instructions that can be executed by a processor, and the program instructions are used for implementing the method for acquiring an ambient temperature and the method for measuring a temperature of a human body in the above technical solution.
The beneficial effect of this application is: different from the prior art, the method and the device calculate the mean value of the thermal imaging data of the human body target in the environment where the human body target is located, then calculate the environment temperature based on the mean value of the thermal imaging data of the human body target and the human body standard temperature, and then calculate the temperature of each human body in the environment by utilizing the environment temperature. The self-adaptive environment and human body temperature measurement effect is guaranteed, meanwhile, the cost and complexity of equipment deployment are reduced, and the temperature measurement efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a method for obtaining ambient temperature according to the present application;
FIG. 2 is a schematic flow chart diagram illustrating one embodiment of step S102 in FIG. 1;
FIG. 3 is a schematic diagram of a frame structure of an embodiment of the apparatus for obtaining ambient temperature according to the present application;
FIG. 4 is a schematic structural diagram of an embodiment of an electronic device of the present application;
fig. 5 is a schematic structural diagram of an embodiment of a memory device according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a method for obtaining an ambient temperature according to the present application, the method including:
s101: the method comprises the steps of obtaining a plurality of target data obtained by shooting an environment where a human target is located, wherein each target data comprises image data and thermal imaging data which correspond to each other.
Specifically, the implementation process of step S101 includes: the method comprises the steps of obtaining a plurality of continuous target data by shooting the environment where a human body target is located frame by a thermal imaging camera. Wherein each target data includes corresponding image data and thermal imaging data, and the plurality of image data are a plurality of frames of image data that are consecutive in time. The image data is a visible light picture in an RGB format, the image data comprises a certain number of human body targets, and the certain number can be any natural number such as 0, 1, 2 and the like; the thermal imaging data is a digital signal converted from infrared radiation of objects in the environment, and the thermal imaging values of the thermal imaging data are different according to different temperatures of different objects. Optionally, different thermal imaging camera models can be selected according to actual requirements, pixels of image data obtained by shooting of a medium-grade model are usually 200w, the resolution is 1920 x 1080, pixels of image data obtained by shooting of a high-grade model are usually 400w, and the resolution is 2560 x 1440; in the image data, each pixel outputs a reading of thermal imaging data.
S102: a mean of thermal imaging data of the human target is obtained from the plurality of target data.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating an embodiment of step S102 in fig. 1, the method includes:
s201: for each image data, a first region in which a human target is located is obtained from the image data.
Specifically, the implementation process of step S201 includes: and aiming at each image data obtained by shooting by the thermal imaging camera, carrying out human figure detection on the image data, marking human figure areas of all human body targets in the image data, and taking each human figure area as a first area. Wherein, in response to each image data containing a certain number of human body objects, each image data also contains a certain number of first regions, that is, when two human body objects appear in one image data, the image data contains two first regions, and if no human body object appears in one image data, the image data does not contain a first region. Optionally, the human shape detection may be performed by using a method of combining HOG feature extraction and SVM feature matching, or a human shape detection method based on deep learning may be used. This step extracts a human-shaped region in each image data for implementing step S202.
S202: based on the thermal imaging data corresponding to the image data, a mean value of the thermal imaging data of the first region in each image data is obtained.
Before the step S202 is implemented, the method includes: all regions other than the first region in the image data are taken as second regions, and a mean value of thermal imaging data of the second regions other than the first region is obtained based on the thermal imaging data corresponding to the image data. Specifically, the thermal imaging data reading value corresponding to each pixel in the second area can be obtained by combining the thermal imaging data, and the thermal imaging data reading value corresponding to each pixel in the second area is averaged to obtain the thermal imaging data average value of the second area. The second area is an area outside the human body target in the shooting range of the thermal imaging camera, namely the second area is considered to be an environment area, and the mean value of the thermal imaging data of the second area is the mean value of the environmental thermal imaging data. The mean thermal imaging data of the second region obtained in this step can be used to screen the thermal imaging data in the first region.
Further, the implementation process of step S202 includes: rejecting thermal imaging data in the first area, wherein the difference between the thermal imaging data mean value of the first area and the thermal imaging data mean value of the second area is lower than a threshold value; and obtaining the mean value of the thermal imaging data of the first region after the data are removed. Specifically, a reading value of the thermal imaging data corresponding to each pixel in the first area can be obtained by combining the thermal imaging data; and comparing the thermal imaging data reading value corresponding to each pixel in the first area with the thermal imaging data mean value of the second area, eliminating data with the difference lower than a threshold value, and averaging the residual thermal imaging data reading values in the first area to obtain the thermal imaging data mean value of the first area. Optionally, the threshold may be set to 5%, that is, the thermal imaging data in the first region that is different from the mean thermal imaging data of the second region by 5% is removed, or the threshold may be modified according to actual situations. By screening the thermal imaging data in the first region, the accuracy of the obtained thermal imaging data mean value of the first region is ensured.
For example, if one image data includes two human body targets, that is, the image data includes two first regions, first, a region other than the two first regions in the image data is used as a second region, thermal imaging data corresponding to the image data is combined, thermal imaging data in the second region is averaged to obtain a thermal imaging average value of the second region in the image data, then, the thermal imaging data in each first region is processed, thermal imaging data within each first region, which is within a difference of 5% from the thermal imaging data average value of the second region, is removed, and finally, residual thermal imaging data in each first region is averaged to obtain a thermal imaging data average value of the first region corresponding to each first region, where the thermal imaging data average values of the two first regions represent body temperature data of the two human body targets. If the human body target does not appear in one image data, the image data does not have the first area, and the mean value of the thermal imaging data of the first area cannot be obtained.
S203: a mean thermal imaging data value of the human target is obtained based on a mean thermal imaging data value of the first region of the quantity of target data.
Specifically, the implementation process of step S203 includes: based on all target data obtained by the thermal imaging camera, a certain amount of continuous target data is selected, the thermal imaging data mean value of all first areas in the selected target data is obtained, and the mean value is obtained to obtain the thermal imaging data mean value of the human body target. That is, the thermal imaging data is the mean value of the thermal imaging data of all human targets in the selected target data. Optionally, in this embodiment, 100 continuous target data are selected, the mean value of the thermal imaging data of all the first areas corresponding to each target data in the 100 target data is obtained, and the mean value of the thermal imaging data of all the first areas in the 100 target data is averaged to obtain the mean value of the thermal imaging data of the human body target. This step is performed by averaging thermal imaging data readings of a first region of a plurality of consecutive target data to obtain thermal imaging data representative of a temperature of a human body in a current environment.
S103: the ambient temperature is obtained based on the mean of the thermal imaging data of the human target and the human standard temperature.
The specific implementation process of step S103 includes: and obtaining the ambient temperature based on the mean value of the thermal imaging data of the human target, the human standard temperature and the atmospheric transmission model. Specifically, since the mean value of the thermal imaging data of the human body target obtained in step S203 is the mean value of the thermal imaging data of all the human body targets in the selected target data, when the number of the target human bodies is large, the mean value of the thermal imaging data of the human body target is approximately equal to the normal thermal imaging data of the human body, so that the data can represent the standard body temperature data of the human body, and the standard body temperature is 36.75 ℃, that is, the celsius temperature corresponding to the mean value of the thermal imaging data of the human body target is 36.75 ℃. For example, assuming that the mean value of the thermal imaging data of the human target obtained in step S203 is 400, the celsius temperature corresponding to the mean value of the thermal imaging data of the human target 400 is considered to be 36.75 ℃. The current ambient temperature can then be obtained by an atmospheric transmission model. The atmospheric transmission model can calculate and obtain the human body temperature through parameters such as the ambient temperature, the human body thermal imaging data, the atmospheric humidity, the atmospheric transmittance and the like, namely when fixed parameters such as the atmospheric humidity, the atmospheric transmittance and the like are known, the ambient temperature can be reversely deduced through the human body thermal imaging data and the human body temperature. Specifically, 36.75 ℃ is used as the human body temperature, the thermal imaging mean value of the human body target is used as the human body thermal imaging data, and the ambient temperature can be obtained through calculation by utilizing an atmospheric transmission model. The calculation function of the atmosphere transmission model as a mathematical model can be realized by various open source codes, and the details are not repeated herein.
Further, in this embodiment, the thermal imaging camera continues to capture target data frame by frame, and the method selects 100 nearest target data to calculate to obtain a real-time ambient temperature by using a sliding window calculation method, so that the thermal imaging camera has a strong anti-interference capability, and can provide an accurate ambient temperature even if an external environment changes suddenly.
In the above embodiment, the method for acquiring the ambient temperature provided by the present application obtains the mean value of the thermal imaging data of the human body targets by averaging the thermal imaging data of a plurality of human body targets in the environment; the method for acquiring the ambient temperature can acquire the accurate ambient temperature without additionally arranging a black body device in a lens of the thermal imaging camera, thereby reducing the cost and complexity of equipment deployment and improving the temperature measurement efficiency.
The application also provides a human body temperature measurement method, and the implementation process of the human body temperature measurement method comprises the following steps: the method for acquiring the environment temperature obtains the environment temperature, obtains real-time data obtained by environment shooting, wherein the real-time data comprise real-time image data and real-time thermal imaging data which correspond to each other, and obtains the temperature of each human body in the current environment based on the environment temperature and the real-time data. Specifically, after the ambient temperature is acquired by the method for acquiring the ambient temperature provided by the application, real-time data obtained by shooting the environment by a thermal imaging camera is acquired, the real-time data comprises real-time image data and real-time thermal imaging data, the real-time image data and the real-time thermal imaging data are processed by the method in the steps S201 and S202 to obtain thermal imaging data of each human body target in the real-time data, and the temperature of each human body is calculated and acquired through an atmosphere transmission model according to the thermal imaging data and the ambient temperature of each human body target.
Further, when the abnormal body temperature higher than the normal temperature of the human body is detected, the abnormal body temperature and the corresponding target human body are marked and alarm information is pushed, and the data cannot be used as a data source for calculating and acquiring the real-time environment temperature, so that the subsequent temperature measurement effect is prevented from being influenced.
Specifically, the time corresponding to the target data used for obtaining the ambient temperature is before the real-time corresponding to the real-time data, and a preset interval is provided between the latest time in the target data and the real-time corresponding to the real-time data. The temperature of the human body target in the real-time data after the latest moment of the target data is calculated by utilizing the environment temperature acquired by the plurality of target data, and the accurate temperature of the human body can be given. Alternatively, the preset interval may be 2, 4, etc. frames of real-time data. For example, when the preset interval is 2, the specific implementation process of the human body temperature measurement method provided by the application includes:
a: the method comprises the steps of obtaining a plurality of target data obtained by shooting the environment where a human body target is located, processing the first 100 target data in the plurality of target data to obtain the mean value of thermal imaging data of the human body target, and obtaining the environment temperature through an atmosphere transmission model by combining the mean value of the thermal imaging data of the human body target and the standard temperature of the human body.
B: after the ambient temperature is obtained, the real-time data obtained by shooting the environment by the thermal imaging camera is continuously obtained, and the real-time data (namely the 103 th frame data) with the latest time interval of two frames in the target data is calculated to obtain the temperature of each human body in the corresponding environment in the real-time data.
C: and continuously shooting the environment by the thermal imaging camera, selecting a next group of 100 most adjacent target data in a sliding window calculation mode to process so as to realize real-time updating of the environment temperature, and calculating the real-time data with the interval of two frames from the latest moment in the target data so as to obtain the temperature of each human body in the corresponding environment in the real-time data.
In the above embodiment, the human body temperature measurement method provided by the application obtains the ambient temperature by using the method for obtaining the ambient temperature provided by the application, and calculates the human body temperature based on the ambient temperature and the thermal imaging data of the human body target.
Referring to fig. 3, fig. 3 is a schematic diagram of a frame structure of an embodiment of an ambient temperature acquiring device according to the present application, where the ambient temperature acquiring device includes: a first obtaining module 10, a second obtaining module 20 and a third obtaining module 30. The first obtaining module 10 is configured to obtain a plurality of target data obtained by shooting an environment where a human target is located, where each target data includes image data and thermal imaging data corresponding to each other; a second obtaining module 20, configured to obtain a mean value of thermal imaging data of the human target from the multiple target data; and a third obtaining module 30, configured to obtain the ambient temperature based on the mean of the thermal imaging data of the human target and the human standard temperature.
Please refer to fig. 4, fig. 4 is a schematic structural diagram of an embodiment of an electronic device according to the present application, where the electronic device specifically includes: the memory 50 and the processor 40 are coupled to each other, the memory 50 stores program instructions, and the processor 40 is configured to execute the program instructions to implement any one of the above-mentioned methods for obtaining ambient temperature and the above-mentioned steps of the method for measuring human body temperature. Specifically, electronic devices include, but are not limited to: desktop computers, notebook computers, tablet computers, servers, etc., without limitation thereto. Further, the processor 40 may also be referred to as a CPU (central processing unit). The processor 40 may be an integrated circuit chip having signal processing capabilities. The Processor 40 may also be a general purpose Processor, a digital signal Processor (Di gita l Si gna l Processor, DSP), an application specific integrated circuit (App l cat I on Spec I f I C I integrated Ci, AS ic), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. In addition, the processor 40 may be commonly implemented by an integrated circuit chip.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of the storage device 60 of the present application, in which a program instruction 70 capable of being executed by a processor is stored, and the program instruction 70 is used to implement any of the above-mentioned methods for obtaining an ambient temperature and the above-mentioned steps of the method for measuring a temperature of a human body.
The above description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (10)
1. A method of obtaining ambient temperature, comprising:
acquiring a plurality of target data obtained by shooting the environment where a human target is located, wherein each target data comprises image data and thermal imaging data which correspond to each other;
obtaining a mean value of thermal imaging data of the human target from the plurality of target data;
and obtaining the ambient temperature based on the mean value of the thermal imaging data of the human body target and the human body standard temperature.
2. The method for obtaining the ambient temperature according to claim 1, comprising: the step of obtaining a mean value of thermal imaging data of the human target from the plurality of target data comprises:
for each image data, obtaining a first region where the human body target is located from the image data;
obtaining a mean value of thermal imaging data of the first region in each image data based on the thermal imaging data corresponding to the image data;
obtaining a mean thermal imaging data value of the human target based on a mean thermal imaging data value of the first region of a quantity of the target data.
3. The method of claim 2,
the step of obtaining a mean value of the thermal imaging data of the first region in each of the image data comprises: obtaining a mean of thermal imaging data for a second region other than the first region based on the thermal imaging data corresponding to the image data;
the step of obtaining a mean value of the thermal imaging data of the first region in each of the image data comprises: rejecting data in the first region which has a mean difference with the thermal imaging data of the second region lower than a threshold value; and obtaining the mean value of the thermal imaging data of the first area after data elimination.
4. The method of claim 3,
the threshold comprises 5%.
5. The method of claim 1, wherein the step of obtaining the ambient temperature based on the mean of the thermal imaging data of the human target and the human standard temperature comprises:
and obtaining the environment temperature based on the mean value of the thermal imaging data of the human target, the human standard temperature and an atmosphere transmission model.
6. The method of claim 1,
the human body standard temperature comprises 36.75 ℃; and/or a plurality of the image data are multi-frame image data which are continuous in time.
7. A human body temperature measurement method is characterized by comprising the following steps:
obtaining an ambient temperature using the method of any one of claims 1-6;
acquiring real-time data obtained by shooting the environment, wherein the real-time data comprises real-time image data and real-time thermal imaging data which correspond to each other;
and obtaining the temperature of each human body in the environment based on the environment temperature and the real-time data.
8. The method according to claim 7,
the time corresponding to the target data used for obtaining the environment temperature is before the real-time corresponding to the real-time data, and a preset interval is formed between the latest time in the target data and the real-time corresponding to the real-time data.
9. An electronic device, comprising a memory and a processor coupled to each other, wherein the memory stores program instructions, and the processor is configured to execute the program instructions to implement the method for obtaining ambient temperature according to any one of claims 1 to 6 and the method for measuring human body temperature according to claim 7 or 8.
10. A storage device storing program instructions executable by a processor to implement the method of obtaining ambient temperature of any one of claims 1 to 6 and the method of measuring body temperature of claim 7 or 8.
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