CN111579076A - Infrared non-contact temperature measurement method and device with distance compensation - Google Patents
Infrared non-contact temperature measurement method and device with distance compensation Download PDFInfo
- Publication number
- CN111579076A CN111579076A CN202010237386.3A CN202010237386A CN111579076A CN 111579076 A CN111579076 A CN 111579076A CN 202010237386 A CN202010237386 A CN 202010237386A CN 111579076 A CN111579076 A CN 111579076A
- Authority
- CN
- China
- Prior art keywords
- temperature
- distance
- infrared
- sensor unit
- unit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 14
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000013528 artificial neural network Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 4
- 238000012549 training Methods 0.000 claims description 8
- 230000003287 optical effect Effects 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000005259 measurement Methods 0.000 abstract description 9
- 230000036760 body temperature Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The invention discloses an infrared non-contact temperature measurement method with distance compensation and a device thereof, comprising an electric control unit, an infrared temperature sensor unit, a distance measurement sensor unit, a communication unit and a power supply unit, wherein the infrared temperature sensor unit, the distance measurement sensor unit, the communication unit and the power supply unit are electrically connected to the electric control unit; the electric quantity value of the infrared temperature sensor unit and the distance value measured by the distance measuring sensor unit which are collected in the electric control unit are subjected to temperature calculation according to a temperature distance model; the temperature distance model is obtained by acquiring two groups of data to train the BP neural network, wherein the two groups of data are respectively a voltage value V at different distances when the temperature is T and a voltage value V at different temperatures when the temperature is L; the distance L and the voltage value V are taken as inputs and the temperature as an output.
Description
Technical Field
The invention relates to an infrared non-contact temperature measurement method with distance compensation and a device thereof, which are particularly applied to temperature measurement in public places where people flow, such as airports, stations and the like, and can also be applied to the field of industrial temperature measurement.
Background
The body temperature is one of the important signs of human health and is the result of normal metabolism of human body; under different ambient temperatures, the body maintains the relative stability of the ambient temperature in the body through heat production and heat dissipation, and maintains the adaptability to the ambient temperature. When a human body is in a healthy state, the body temperature is kept at about 37 ℃ (approximately 36.2 ℃ -37.3 ℃), and the body temperature is not greatly changed due to the change of the external temperature, but when some functions of the human body are changed or some parts are diseased, the body temperature is changed relatively to the constant body temperature. In clinical medicine, body temperature is one of the important physiological parameters, and the body temperature of a patient provides doctors with important information on their physiological status; therefore, the body temperature can be measured to not only confirm the occurrence of certain diseases, but also play a positive role in preventing and warning certain serious diseases or hidden health hidden troubles in the body.
In clinical medicine, doctors need to measure the body temperature of patients by using thermometers so as to determine the physiological state of the patients, but in public places or specific places, especially in scenes with a large number of people, if the thermometers in hospitals are still used for measurement, the monitoring and alarming functions are achieved, the consumed time, money, manpower and material resources are huge, and the prevention and alarming functions are difficult to achieve.
The electric quantity value of a thermocouple in a chip in the non-contact infrared temperature measuring device is related to the excited infrared energy, and the infrared energy is related to the temperature and the distance of a person. The same temperature will exhibit different electrical properties when the distance is varied. On the other hand, the consistency of the infrared temperature measurement component in the manufacturing process has certain deviation, and the temperature measurement precision is required to be higher, generally required to be 0.5 ℃ or even higher; this problem is difficult to solve with conventional calibration methods.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an infrared non-contact temperature measurement method with distance compensation and a device thereof.
The technical purpose of the invention is realized by the following technical scheme:
an infrared non-contact temperature measurement method with distance compensation and a device thereof comprise an electric control unit, an infrared temperature sensor unit, a distance measurement sensor unit, a communication unit and a power supply unit, wherein the infrared temperature sensor unit, the distance measurement sensor unit, the communication unit and the power supply unit are electrically connected to the electric control unit; and the electric quantity value of the infrared temperature sensor unit and the distance value measured by the distance measuring sensor unit which are collected in the electric control unit are subjected to temperature calculation according to a temperature distance model.
The infrared temperature sensor unit is a non-contact infrared temperature sensor, which consists of an optical circuit, an optical filter, a thermopile chip and an amplifying circuit and converts infrared energy into a voltage value of an electric signal.
The electric control unit comprises a microprocessor and a power supply management circuit and is used for receiving the uploaded data of the infrared temperature sensor unit and the distance measurement sensor unit, processing the uploaded data according to an optimization algorithm and being responsible for data communication with the communication unit.
The communication unit is connected with the electric control unit, is responsible for the data reporting function of temperature measurement, and can adjust the communication mode according to the requirement.
The mapping relation of the temperature distance model is
Indicating that the voltage value output when the real temperature T is measured is L
Wherein f is a three-input one-output BP neural network.
The temperature distance model is obtained by training a BP neural network by collecting two groups of data, wherein the two groups of data are respectively a voltage value V at different distances when the temperature is T and a voltage value V at different temperatures when the temperature is L; the distance L and the voltage value V are taken as inputs and the temperature as an output.
The training process of the BP neural network weight in the temperature distance model comprises the following steps:
step 1, when different distances L1 and L2.. Ln are collected and the blackbody temperature is measured as T, measuring a voltage value V measured by the device;
step 2, acquiring voltage values V measured by the device when the measured distance is L at different temperatures T1, T2 and T3.. Tn;
step 3, training the neural network by using the two sets of collected data and taking the distance L and the voltage value V as input and the temperature T as output;
and 4, when the error is smaller than the set error, taking the obtained BP neural network weight as the weight of the model.
In summary, compared with the prior art, the beneficial effects of the invention are as follows:
1. because the nonlinear relation of the neural network to the distance and the temperature is approximated, compared with the traditional piecewise interpolation, the method has higher precision;
2. the neural network is adopted to train and calibrate each device, the method is more convenient than the traditional calibration method, and the accuracy of the sensor is determined by the amount and the density of data, so that the accuracy improvement method is simpler.
Drawings
FIG. 1 is a schematic diagram of a frame of an infrared non-contact temperature measuring device in an embodiment;
FIG. 2 is a schematic diagram of distance temperature modeling in the example.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings.
An infrared non-contact temperature measurement method with distance compensation and a device thereof comprise an electric control unit, an infrared temperature sensor unit, a distance measurement sensor unit, a communication unit and a power supply unit, wherein the infrared temperature sensor unit, the distance measurement sensor unit, the communication unit and the power supply unit are electrically connected to the electric control unit; and the electric quantity value of the infrared temperature sensor unit and the distance value measured by the distance measuring sensor unit which are collected in the electric control unit are subjected to temperature calculation according to a temperature distance model.
The infrared temperature sensor unit is a non-contact infrared temperature sensor, which consists of an optical circuit, an optical filter, a thermopile chip and an amplifying circuit and converts infrared energy into a voltage value of an electric signal.
The electric control unit comprises a microprocessor and a power supply management circuit and is used for receiving the uploaded data of the infrared temperature sensor unit and the distance measurement sensor unit, processing the uploaded data according to an optimization algorithm and being responsible for data communication with the communication unit.
The communication unit is connected with the electric control unit and is responsible for the data reporting function of temperature measurement, the communication mode can be adjusted as required, and the power supply unit is responsible for the power supply of the equipment.
FIG. 2 is a schematic of temperature modeling data acquisition
The distance temperature model is established as an important technical means of the invention, and the model is established by using the neural network according to a large amount of sample data. Fig. 2 shows a method for collecting sample data, and a contact temperature sensor is installed on the basis of the device. At the same time, the data collected from the sensor and a plurality of data collected by the device form a group of training data of the neural network. The plurality of data are used as input data of the neural network through preprocessing, and the contact temperature sensor is used as an output training sample of the neural network. And completing the establishment of the model through training.
The above description is intended to be illustrative of the present invention and not to limit the scope of the invention, which is defined by the claims appended hereto.
Claims (6)
1. The infrared non-contact temperature measuring method and the device with the distance compensation are characterized by comprising an electric control unit, an infrared temperature sensor unit, a distance measuring sensor unit, a communication unit and a power supply unit, wherein the infrared temperature sensor unit, the distance measuring sensor unit, the communication unit and the power supply unit are electrically connected to the electric control unit; the electric quantity value of the infrared temperature sensor unit and the distance value measured by the distance measuring sensor unit which are collected in the electric control unit are subjected to temperature calculation according to a temperature distance model;
the temperature distance model is obtained by acquiring two groups of data to train the BP neural network, wherein the two groups of data are respectively a voltage value V at different distances when the temperature is T and a voltage value V at different temperatures when the temperature is L; the distance L and the voltage value V are taken as inputs and the temperature as an output.
2. The infrared non-contact temperature measuring method and device with distance compensation of claim 1, wherein: the training process of the BP neural network weight in the temperature distance model comprises the following steps:
step 1, when different distances L1 and L2.. Ln are collected and the blackbody temperature is measured as T, measuring a voltage value V measured by the device;
step 2, acquiring voltage values V measured by the device when the measured distance is L at different temperatures T1, T2 and T3.. Tn;
step 3, training the neural network by using the two sets of collected data and taking the distance L and the voltage value V as input and the temperature T as output;
and 4, when the error is smaller than the set error, taking the obtained BP neural network weight as the weight of the model.
3. The infrared non-contact temperature measuring method and device with distance compensation of claim 1, wherein: the mapping relation of the temperature distance model is
Indicating that the voltage value output when the real temperature T is measured is L
Wherein f is a three-input one-output BP neural network.
4. The infrared non-contact temperature measuring method and device with distance compensation of claim 1, wherein: the infrared temperature sensor unit is a non-contact infrared temperature sensor, consists of an optical circuit, an optical filter, a thermopile chip and an amplifying circuit, and converts infrared energy into a voltage value of an electric signal.
5. The infrared non-contact temperature measuring method and device with distance compensation of claim 1, wherein: and the electric control unit comprises a microprocessor and a power supply management circuit and is used for receiving the uploaded data of the infrared temperature sensor unit and the distance measuring sensor unit, processing the uploaded data according to an optimization algorithm and being responsible for data communication with the communication unit.
6. The infrared non-contact temperature measuring method and device with distance compensation of claim 1, wherein: the communication unit is connected with the electric control unit, is responsible for the data reporting function of temperature measurement, and can adjust the communication mode according to the requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010237386.3A CN111579076A (en) | 2020-03-30 | 2020-03-30 | Infrared non-contact temperature measurement method and device with distance compensation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010237386.3A CN111579076A (en) | 2020-03-30 | 2020-03-30 | Infrared non-contact temperature measurement method and device with distance compensation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111579076A true CN111579076A (en) | 2020-08-25 |
Family
ID=72119205
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010237386.3A Pending CN111579076A (en) | 2020-03-30 | 2020-03-30 | Infrared non-contact temperature measurement method and device with distance compensation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111579076A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112254821A (en) * | 2020-10-16 | 2021-01-22 | 盈合(深圳)机器人与自动化科技有限公司 | Method and device for compensating body temperature detection precision through visual ranging |
| CN113340438A (en) * | 2021-07-08 | 2021-09-03 | 电子科技大学 | Method for calibrating distance error of hot end component of aero-engine in non-contact temperature field |
| CN113588098A (en) * | 2021-07-29 | 2021-11-02 | 济南博观智能科技有限公司 | Infrared thermopile array self temperature drift compensation method and related components |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105509899A (en) * | 2016-01-26 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Method and system for infrared image temperature measurement calibration |
| CN106124062A (en) * | 2016-06-16 | 2016-11-16 | 哈尔滨工程大学 | A kind of infrared measurement of temperature automatic compensating method based on historical data |
| KR20170092024A (en) * | 2016-02-02 | 2017-08-10 | 주식회사 코아리버 | Temperature compensation thermometer and method using a distance measuring seneor |
| CN208206307U (en) * | 2017-10-23 | 2018-12-07 | 深圳市华能智创科技有限公司 | A kind of infrared temperature measurement apparatus |
| CN211527624U (en) * | 2020-03-30 | 2020-09-18 | 杭州麦乐克科技股份有限公司 | Infrared non-contact temperature measuring device with distance compensation |
-
2020
- 2020-03-30 CN CN202010237386.3A patent/CN111579076A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105509899A (en) * | 2016-01-26 | 2016-04-20 | 云南电网有限责任公司电力科学研究院 | Method and system for infrared image temperature measurement calibration |
| KR20170092024A (en) * | 2016-02-02 | 2017-08-10 | 주식회사 코아리버 | Temperature compensation thermometer and method using a distance measuring seneor |
| CN106124062A (en) * | 2016-06-16 | 2016-11-16 | 哈尔滨工程大学 | A kind of infrared measurement of temperature automatic compensating method based on historical data |
| CN208206307U (en) * | 2017-10-23 | 2018-12-07 | 深圳市华能智创科技有限公司 | A kind of infrared temperature measurement apparatus |
| CN211527624U (en) * | 2020-03-30 | 2020-09-18 | 杭州麦乐克科技股份有限公司 | Infrared non-contact temperature measuring device with distance compensation |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112254821A (en) * | 2020-10-16 | 2021-01-22 | 盈合(深圳)机器人与自动化科技有限公司 | Method and device for compensating body temperature detection precision through visual ranging |
| CN113340438A (en) * | 2021-07-08 | 2021-09-03 | 电子科技大学 | Method for calibrating distance error of hot end component of aero-engine in non-contact temperature field |
| CN113340438B (en) * | 2021-07-08 | 2022-05-03 | 电子科技大学 | A non-contact temperature field distance error calibration method for aero-engine hot end components |
| CN113588098A (en) * | 2021-07-29 | 2021-11-02 | 济南博观智能科技有限公司 | Infrared thermopile array self temperature drift compensation method and related components |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111579076A (en) | Infrared non-contact temperature measurement method and device with distance compensation | |
| CN204698531U (en) | A kind of clinical thermometer | |
| CN103479339B (en) | Infrared body temperature monitoring automatic calibration method and system | |
| CN205597903U (en) | Wearing formula body temperature sensing apparatus | |
| CN103932683A (en) | Temperature measurement device and temperature measurement method | |
| CN104523244B (en) | Wearable-type electronic device and control method based on human body metabolism | |
| CN110464564B (en) | Intelligent bed board system based on automatic detection and remote analysis | |
| CN112050950B (en) | Wearable device and human body temperature measuring method for same | |
| CN111854964A (en) | Method and device for measuring body temperature, temperature measuring tool and storage medium | |
| CN110161342A (en) | A kind of electric energy quality monitoring system and method | |
| CN211527624U (en) | Infrared non-contact temperature measuring device with distance compensation | |
| CN110857891A (en) | Intelligent body temperature monitoring device and method | |
| CN108050646A (en) | It is a kind of to detect the sleep nursing system and its method of work perspired | |
| CN107049274A (en) | Thermal environment self-employed labour safety monitoring assembly and evaluation method based on physiological parameter | |
| CN108460957A (en) | A kind of the elder's health group monitoring warning system and method | |
| CN113223681A (en) | Medical treatment wisdom garden environmental monitoring system based on thing networking | |
| CN115662631A (en) | AI intelligence discrimination-based nursing home management system | |
| Abdul-jabbar et al. | Real time pacemaker patient monitoring system based on internet of things | |
| Yang et al. | Monitoring and control of medical air disinfection parameters of nosocomial infection system based on internet of things | |
| CN110115565A (en) | Intelligent temperature sensor for wearable body temperature monitoring and monitoring method thereof | |
| CN112504491B (en) | Body temperature measuring method based on wearable equipment | |
| CN205458639U (en) | Healthy management system based on cloud calculates | |
| CN115206068B (en) | Crib hiss button with early warning function and application method thereof | |
| CN118177758A (en) | 5G intelligent armpit temperature and vital signs monitoring and early warning system | |
| CN107495931B (en) | Human body temperature field measurement device based on optical principle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |