CN111458031A - Non-contact remote measurement method for measuring and calculating body temperature - Google Patents
Non-contact remote measurement method for measuring and calculating body temperature Download PDFInfo
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- CN111458031A CN111458031A CN202010269192.1A CN202010269192A CN111458031A CN 111458031 A CN111458031 A CN 111458031A CN 202010269192 A CN202010269192 A CN 202010269192A CN 111458031 A CN111458031 A CN 111458031A
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- 230000036760 body temperature Effects 0.000 title claims abstract description 47
- 238000000691 measurement method Methods 0.000 title description 4
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000012937 correction Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims abstract description 14
- 210000001061 forehead Anatomy 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000013135 deep learning Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 230000002277 temperature effect Effects 0.000 claims 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 2
- 229910052753 mercury Inorganic materials 0.000 description 2
- 238000001931 thermography Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0003—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiant heat transfer of samples, e.g. emittance meter
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/20—Clinical contact thermometers for use with humans or animals
- G01K13/223—Infrared clinical thermometers, e.g. tympanic
Abstract
The invention discloses a method for measuring and calculating the body temperature of a human body in a non-contact remote manner, which comprises the following steps: step 1) the user obtains the real-time measured forehead body surface temperature of the human body through the temperature measuring module and inputs the forehead body surface temperature into an algorithm through the ServiceProcess module. And step 2) the ServiceProcesses module receives the body surface temperature and inputs the data into the TemperatureProcesses module. And step 3) the temperature processing module inputs the body surface temperature of the human body into the temperature calibration module, and the temperature calibration module calculates the body surface temperature data of the human body and returns an error correction value. And step 4) the temperature process module calls the EnvTemperatureCalibration module to obtain the current environment temperature correction value, the algorithm can be used in temperature measuring equipment, the human body temperature can be measured in various indoor and outdoor environments more accurately, a large amount of labor and financial cost is saved, and particularly, the human body temperature can be detected quickly and accurately in a non-contact manner during an epidemic situation.
Description
Technical Field
The invention relates to the field of non-contact remote measurement of human body temperature, in particular to a non-contact remote measurement and calculation method of human body temperature.
Background
Temperature measuring equipment in the market at present mainly comprises a mercury thermometer, a forehead temperature sensor, an ear thermometer, an infrared thermometer and infrared thermal imaging temperature measuring equipment, wherein the mercury thermometer measures temperature by utilizing the principle of expansion with heat and contraction with cold, and the forehead thermometer, the ear thermometer, the infrared thermometer and the infrared thermal imaging adopt an algorithm of converting body surface temperature into actual body temperature of a human body to measure the temperature in a non-contact way. However, the existing temperature measuring equipment basically adopts an algorithm for converting the body surface temperature into the actual body temperature, and the influence of the ambient temperature cannot be considered, so that the algorithm adopted by the existing temperature measuring equipment cannot effectively and accurately measure the body temperature under various outdoor ambient temperatures, and therefore, in order to solve the existing problems, the non-contact type remote body temperature measuring and calculating method based on the c + + language algorithm for indoor and outdoor non-contact type infrared accurate temperature measurement is provided.
Disclosure of Invention
The invention aims to provide a measuring and calculating method for measuring the body temperature of a human body in a non-contact remote manner, and the method is used for solving the problem that the influence of the environmental temperature cannot be considered by an algorithm for converting the body surface temperature into the actual body temperature adopted by the existing temperature measuring equipment in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a method for measuring and calculating body temperature in a non-contact remote manner, the method comprising:
step 1) the user obtains the real-time measured forehead body surface temperature of the human body through the temperature measuring module and inputs the forehead body surface temperature into an algorithm through the ServiceProcess module.
And step 2) the ServiceProcesses module receives the body surface temperature and inputs the data into the TemperatureProcesses module.
And step 3) the temperature processing module inputs the body surface temperature of the human body into the temperature calibration module, and the temperature calibration module calculates the body surface temperature data of the human body and returns an error correction value.
And step 4) the temperature process module calls an EnvTemperatureCalibration module to obtain the current environment temperature correction value.
And step 5) the TemperatureProcesses module inputs the error correction value and the environment temperature correction value of the human body surface temperature and body temperature operation into the TemperatureModel module, the module uses the algorithm model to carry out operation to obtain a final body temperature value, and the final body temperature value is returned to the user through the serviceProcesses module.
And step 6) the user acquires the current ambient temperature in real time through the ambient temperature measuring module and updates the current ambient temperature to the EnvTemperatureProcessExponse module through the ServiceProcessExponse module at regular time.
And 7) the EnvTemperatureProcesses module receives the environment temperature data updated by the user, starts to operate the data, updates the data into the EnvTemperatureCalibration module through the TemperatureProcesses module, and operates the EnvTemperatureCalibration module to obtain the correction value of the current environment temperature.
Preferably, in step 1, the ServiceProcess module is responsible for interaction between the algorithm and the external caller, and provides the result of body temperature conversion.
Preferably, in the step 2, the temperature process module calls nodes processed by each algorithm, and performs a comprehensive operation on the processing result of each node.
Preferably, in the step 3, the temperature calibration module processes a deviation factor of the body temperature operation, performs deep learning operation according to the measured human body temperature data to obtain a value to be corrected for the body temperature data, and updates the value to the algorithm model in real time.
Preferably, in the step 5, the temperature model module converts the body surface temperature into an algorithm model of the body temperature, and is responsible for the specific temperature conversion operation.
Preferably, in step 7, the envTemperatureCalibration module increases a deviation factor affected by the ambient temperature, acquires data from the ambient temperature data processing result, updates the data to the algorithm model, and calibrates the operation result.
Preferably, in step 7, the envtempturetureprocesser module processes the ambient temperature data.
The non-contact remote measurement method for measuring and calculating the body temperature of the human body has the advantages that: the algorithm can be used in temperature measuring equipment, the influence of the ambient temperature is added, so that the temperature measuring equipment can accurately measure the temperature indoors and outdoors, the use scenes of the temperature measuring equipment are greatly increased, the human body temperature can be measured in various indoor and outdoor environments more accurately, a large amount of manpower and financial cost are saved, and the human body temperature can be rapidly and accurately detected in a non-contact mode particularly during epidemic situations.
Drawings
Fig. 1 shows the overall design of the algorithm.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of 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 invention.
Referring to fig. 1, the present invention provides a technical solution: a method for measuring and calculating body temperature in a non-contact remote manner, the method comprising:
step 1) a user obtains the real-time measured forehead body surface temperature of the human body through a temperature measuring module and inputs the forehead body surface temperature into an algorithm through a ServiceProcess module, and the ServiceProcess module is responsible for interaction between the algorithm and an external caller and provides a body temperature conversion result.
And 2) after receiving the body surface temperature, the ServiceProcesses module inputs data into the TemperatureProcesses module, and the TemperatureProcesses module calls each node processed by the algorithm and performs comprehensive operation on the processing result of each node.
And step 3) the TemperatureProcessExample module inputs the body surface temperature into the TemperatureCalculation module, the TemperatureCalculation module calculates the body surface temperature data and returns an error correction value, the TemperatureCalculation module processes the deviation factor of the body temperature calculation, the deep learning calculation is carried out according to the measured body temperature data to obtain the value needing to correct the body temperature data, and the value is updated into the algorithm model in real time.
And step 4) the temperature process module calls an EnvTemperatureCalibration module to obtain the current environment temperature correction value.
And step 5) the TemperatureProcessExample module inputs the error correction value and the environment temperature correction value of the human body surface temperature and body temperature operation into the TemperatureModel module, the module uses the algorithm model to carry out operation to obtain a final body temperature value, and returns the final body temperature value to the user through the ServiceProcessExample module, and the TemperatureModel module converts the body surface temperature into the body temperature algorithm model and is responsible for the specific temperature conversion operation.
And step 6) the user acquires the current ambient temperature in real time through the ambient temperature measuring module and updates the current ambient temperature to the EnvTemperatureProcessExponse module through the ServiceProcessExponse module at regular time.
And 7) the EnvTemperatureProcesses module receives the environment temperature data updated by the user, starts to operate the data, updates the data into the EnvTemperatureCalibration module through the TemperatureProcesses module, operates the EnvTemperatureCalibration module to obtain the correction value of the current environment temperature, increases the deviation factor of the environment temperature influence by the EnvTemperatureCalibration module, obtains the data from the environment temperature data processing result, updates the data into the algorithm model, calibrates the operation result, and processes the environment temperature data by the EnvTemperatureProcesses module.
It will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in the embodiments described above without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.
Claims (7)
1. A method for measuring and calculating the body temperature of a human body in a non-contact remote manner is characterized by comprising the following steps:
step 1) the user obtains the real-time measured forehead body surface temperature of the human body through the temperature measuring module and inputs the forehead body surface temperature into an algorithm through the ServiceProcess module.
And step 2) the ServiceProcesses module receives the body surface temperature and inputs the data into the TemperatureProcesses module.
And step 3) the temperature processing module inputs the body surface temperature of the human body into the temperature calibration module, and the temperature calibration module calculates the body surface temperature data of the human body and returns an error correction value.
And step 4) the temperature process module calls an EnvTemperatureCalibration module to obtain the current environment temperature correction value.
And step 5) the TemperatureProcesses module inputs the error correction value and the environment temperature correction value of the human body surface temperature and body temperature operation into the TemperatureModel module, the module uses the algorithm model to carry out operation to obtain a final body temperature value, and the final body temperature value is returned to the user through the serviceProcesses module.
And step 6) the user acquires the current ambient temperature in real time through the ambient temperature measuring module and updates the current ambient temperature to the EnvTemperatureProcessExponse module through the ServiceProcessExponse module at regular time.
And 7) the EnvTemperatureProcesses module receives the environment temperature data updated by the user, starts to operate the data, updates the data into the EnvTemperatureCalibration module through the TemperatureProcesses module, and operates the EnvTemperatureCalibration module to obtain the correction value of the current environment temperature.
2. A method for measuring and calculating body temperature remotely in a non-contact manner as claimed in claim 1, wherein in step 1, the ServiceProcess module is responsible for the interaction between the algorithm and the external caller and provides the result of the body temperature conversion.
3. A non-contact remote measuring and calculating method of body temperature according to claim 1, wherein in said step 2, the temperature process module calls each node of the algorithm process and performs the comprehensive operation on the processed result of each node.
4. The method for measuring and calculating body temperature according to claim 1, wherein in step 3, the temperature calibration module processes the deviation factor of the body temperature calculation, performs deep learning calculation according to the measured body temperature data to obtain the value to be corrected, and updates the value to the algorithm model in real time.
5. The method as claimed in claim 1, wherein in step 5, the temperature model is an algorithm model for converting the body surface temperature into the body temperature, and the algorithm model is responsible for the calculation of the specific temperature conversion.
6. A method for measuring and calculating body temperature according to claim 1, wherein in step 7, the envTemperatureCalibration module increases the bias factor of the environmental temperature effect, obtains the data from the environmental temperature data processing result, updates the data to the algorithm model, and calibrates the operation result.
7. A method for measuring and calculating body temperature remotely in a non-contact manner as claimed in claim 1, wherein in step 7, the envtemperature process module processes the ambient temperature data.
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| CN202010269192.1A CN111458031A (en) | 2020-04-08 | 2020-04-08 | Non-contact remote measurement method for measuring and calculating body temperature |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112487692A (en) * | 2020-12-16 | 2021-03-12 | 中国科学院重庆绿色智能技术研究院 | Method for estimating body core temperature from forehead temperature and application thereof |
| CN114052669A (en) * | 2020-08-05 | 2022-02-18 | 广东小天才科技有限公司 | Body temperature detection method, ear-hanging earphone, intelligent wearable device and storage medium |
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Application publication date: 20200728 |