Automatic online calibration method and system for infrared thermometer

Abstract

The invention provides an automatic online calibration method and system for an infrared thermometer, and belongs to the field of thermometer calibration, and the method comprises the steps: S1, setting a temperature calibration device which comprises a standard temperature source and a data measurement module used for monitoring the temperature and wind speed of an area to be calibrated in real time, and obtaining real-time temperature data and real-time wind speed data; s2, when the real-time temperature data and the real-time wind speed data trigger an automatic calibration condition of the infrared thermometer, the temperature calibration device moves to a preset calibration position; s3, adjusting the output temperature of the standard temperature source, recording measurement data of all the infrared thermometers in the to-be-calibrated area at different output temperatures, and recording real-time temperature data and real-time wind speed data of the to-be-calibrated area; s4, analyzing and processing to generate a calibration curve, and calibrating according to the calibration curve; and S5, after all the infrared thermometers in the to-be-calibrated area are calibrated, the temperature calibration device leaves the preset calibration position and enters a standby state.

Description

Technical Field

[0001] The present invention relates to the technical field of thermometer calibration, and in particular to an automatic online calibration method and system for an infrared thermometer. Background Art

[0002] Thermometers are commonly used testing instruments in daily life. With the banning of mercury-containing thermometers, non-contact thermometers (such as infrared thermometers, forehead thermometers, etc.) are increasingly widely used and have gradually become the main instruments for measuring body temperature. During the epidemic period, key places with dense populations such as entry and exit management, railway stations, and schools are equipped with infrared probes for measuring body temperature. When these devices are in use, when pedestrians pass by these temperature measuring probes, the probes indicate whether the body temperature is normal or abnormal based on the measured data, and provide the results to relevant personnel for reference.

[0003] In order to ensure that these data are true and reliable, these temperature sensors need to be calibrated regularly. The general practice is to remove these sensors from the fixing bracket, calibrate them on-site using a standard black body, or send them to a calibration laboratory for calibration, and then install them for use after calibration.

[0004] When using an infrared thermometer to measure body temperature, the measurement results are affected by many factors, such as ambient temperature, wind speed, fine dust particles or droplets in the air, etc., which may cause inaccurate measurement data. For example, the body temperature of a normal person will be different when the ambient temperature is 5℃ and 20℃ respectively using the same infrared thermometer. In addition, the infrared thermometer directly measures the brightness temperature of the human body, and it is also necessary to convert the measured brightness temperature into body temperature data based on the preset human emissivity or empirical algorithm, so the measurement result of the infrared thermometer is also related to the human emissivity.

[0005] However, since calibration is generally performed in a constant temperature and humidity laboratory, even if it is used after calibration, the difference between the use environment and the calibration environment may cause inaccurate measurement data. In the case of some sudden special epidemics, the accuracy of thermometers installed in crowded places (such as stations and entry and exit points) is very critical for epidemic prevention and control and control of sources of infection. Inaccurate measurement data may lead to the ineffective control of the flow of sick people. Since the thermometers in these places need to work continuously, and because there are many imports and exports and a large number of thermometers, disassembling and calibrating the thermometers will not only affect epidemic prevention and control, but also cause a large workload. And when using a standard black body for calibration, if the use environment is different from the calibration environment, there may be problems with the measurement data.

[0006] Therefore, finding a method that can improve both the calibration accuracy and the calibration efficiency of infrared thermometers is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0007] The present invention provides an automatic online calibration method and system for an infrared thermometer, which are used to solve the defect in the prior art that the ambient temperature affects the measurement result of the infrared thermometer, realize unattended automatic calibration of the infrared thermometer, and improve the comprehensiveness and accuracy of the calibration.

[0008] The present invention provides an automatic online calibration method for an infrared thermometer, comprising the following steps: S1. Setting a temperature calibration device, wherein the temperature calibration device comprises a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, and obtaining real-time temperature data and real-time wind speed data through the data measurement module; S2. When the real-time temperature data and the real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, the temperature calibration device is moved to a preset calibration position; S3, adjusting the output temperature of the standard temperature source, recording the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, and recording the real-time temperature data and real-time wind speed data of the area to be calibrated; S4, analyzing and processing the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated, generating a calibration curve, and calibrating all infrared thermometers in the area to be calibrated according to the calibration curve; S5. When all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters the standby state.

[0009] According to an automatic online calibration method for an infrared thermometer provided by the present invention, the temperature calibration device further includes a power supply module and a mobile module, the standard temperature source includes a temperature control module, a first temperature sensor and a human body simulation module, wherein: The power supply module is used to supply power to the temperature calibration device; The moving module is used to control the positioning and movement of the temperature calibration device; The temperature control module is used to control the temperature of the human body simulation module; A first temperature sensor, used to measure the temperature of the feedback human body simulation module; The human body simulation module is located in the thermal insulation layer and is used to simulate the temperature characteristics of the human body.

[0010] According to an automatic online calibration method for an infrared thermometer provided by the present invention, the human body simulation module includes a heat equalizing block and a bionic skin, wherein: The heat equalizing block is used to evenly distribute the heat of the temperature control module; The first temperature sensor is used to measure the temperature of the heat equalizing block; The bionic skin is covered on the surface of the heat equalizing block and is used to simulate the thermal properties of human skin.

[0011] According to an automatic online calibration method for an infrared thermometer provided by the present invention, the temperature control module includes a temperature controller, a heater and a temperature control sensor, the heater is used to provide a heat source, the thermostat is used to set and control the temperature of the heater, and the temperature control sensor is used to feed back the temperature of the heater so that the heater provides the set temperature.

[0012] According to an automatic online calibration method for an infrared thermometer provided by the present invention, step S2 specifically includes: Set the temperature calibration reference, wind speed calibration reference, temperature deviation threshold and wind speed deviation threshold; Determine a first deviation and a second deviation according to the real-time temperature data and the temperature calibration reference and the real-time wind speed data and the wind speed calibration reference; wherein the first deviation is the deviation between the temperature of the area to be calibrated and the temperature calibration reference, and the second deviation is the deviation between the wind speed of the area to be calibrated and the wind speed calibration reference; Compare the first deviation and the second deviation with the temperature deviation threshold and the wind speed deviation threshold respectively: If the first deviation reaches the temperature deviation threshold and / or the second deviation reaches the wind speed deviation threshold, the automatic calibration condition is triggered, the temperature calibration device is moved to the preset calibration position through the moving module, the first temperature sensor is located at the center of the bionic skin, and the next step is performed.

[0013] According to an automatic online calibration method for an infrared thermometer provided by the present invention, step S3 specifically includes: S31, setting several temperature control points; S32, using the temperature control point to set the output temperature of the temperature control module, using the first temperature sensor to monitor the temperature of the heat-absorbing block, controlling the temperature change of the first temperature sensor within a preset range within a preset time, and obtaining the measurement data of all infrared thermometers in the area to be calibrated; S33, monitoring the temperature of the heat-absorbing block through the first temperature sensor, and measuring the real-time temperature data and real-time wind speed data of the area to be calibrated through the data measurement module; S34. Repeat steps S32-S33 until the monitoring data of all first temperature sensors under all temperature control point conditions, the measurement data of all infrared thermometers in the area to be calibrated, and the real-time temperature data and real-time wind speed data of the area to be calibrated are recorded.

[0014] According to an automatic online calibration method for an infrared thermometer provided by the present invention, the temperature calibration device needs to be calibrated, and the calibration method is as follows: Step 1: setting the temperature of the temperature control module in the temperature calibration device, and installing a surface temperature sensor on the outside of the bionic skin, wherein the surface temperature sensor is used to measure the surface temperature of the bionic skin; Step 2: Set the ambient temperature of the location where the temperature calibration device is located, and keep the ambient temperature change within a preset range within a preset time; Step 3: Set the indoor air flow rate at the location of the temperature calibration device, keep the air flow rate change and the ambient temperature change within a preset range, and record the data of the first temperature sensor and the surface temperature sensor; Step 4: Change the indoor air flow rate at the location of the temperature calibration device, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air flow rates at the same ambient temperature, and record them as the first monitoring data; Step 5: Change the ambient temperature of the location of the temperature calibration device, repeat steps 3 to 4, and record the data of the first temperature sensor, the surface temperature sensor and the temperature of the temperature control module at different temperatures, which are recorded as second monitoring data; Step 6: Establish a first calibration equation using the first monitoring data and its corresponding ambient temperature and indoor air flow rate; calculate the surface temperature of the bionic skin based on the first calibration equation in combination with the indoor air flow rate, ambient temperature and the first temperature sensor data, and record it as the calibration temperature of the temperature calibration device; Step seven, using the second monitoring data and its corresponding ambient temperature and indoor air flow rate to establish a second calibration equation, based on the second calibration equation, combined with the indoor air flow rate, ambient temperature and the calibration temperature of the temperature calibration device, calculate the temperature setting point of the temperature control module, recorded as the temperature of the temperature control module in the temperature calibration device.

[0015] The present invention also provides an automatic online calibration system for an infrared thermometer, which adopts the automatic online calibration method as described above, and comprises: The temperature calibration device includes at least a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated; A data acquisition module, used for collecting data from a standard temperature source and a data measurement module; The calibration module is configured to analyze the measurement data of all infrared thermometers in the calibration area under different conditions and the data collected by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the calibration area according to the calibration curve.

[0016] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any one of the above-mentioned automatic online calibration methods is implemented.

[0017] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the automatic online calibration method as described above is implemented.

[0018] The automatic online calibration method of the infrared thermometer provided by the present invention monitors the temperature and wind speed of the area to be calibrated in real time through the data measurement module of the temperature calibration device and automatically determines whether to calibrate, thereby realizing unattended automatic calibration of the infrared thermometer, and automatically moves from the charging position to the preset calibration position through the mobile module, and calibrates using multiple temperature control points, thereby improving the comprehensiveness and accuracy of the infrared thermometer calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 It is a flow chart of the automatic online calibration method provided by the present invention; Figure 2 It is a block diagram of a temperature calibration device of the automatic online calibration method provided by the present invention; Figure 3 It is a structural schematic diagram of a temperature calibration device of an automatic online calibration method provided by the present invention; Figure 4 It is a schematic diagram of the position of the temperature calibration device of the automatic online calibration method provided by the present invention; Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention.

[0021] Reference numerals: 1: Shell; 2: Second temperature sensor; 3: Wind speed sensor; 4: Insulation layer; 5: Temperature control sensor; 6: First temperature sensor; 7: Heater; 8: Bionic skin; 9: Heat equalizing block; 10: Data acquisition module; 11: Mobile unit; 12: Wheels; 13: Charging electrode; 14: Charging management component; 15: Voltage output module; 16: Voltage regulation module; 17: Temperature controller. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] like Figure 1 and Figure 2 As shown, the present invention provides an automatic online calibration method for an infrared thermometer, comprising the following steps: S1. Setting a temperature calibration device, wherein the temperature calibration device comprises a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, and obtaining real-time temperature data and real-time wind speed data through the data measurement module.

[0024] It can be understood that the data measurement module monitors the temperature and wind speed of the area to be calibrated in real time, which facilitates the temperature calibration device to adjust the calibration parameters in time, making the calibration results more in line with the actual use environment and improving the measurement accuracy of the infrared thermometer under different environmental conditions.

[0025] In one embodiment of the present application, the temperature calibration device is located at a preset position before use, and the temperature calibration device can be charged at the preset position.

[0026] like Figure 3 As shown, specifically, the temperature calibration device further includes a power supply module and a moving module, and the standard temperature source includes a temperature control module, a first temperature sensor and a human body simulation module, wherein: The power supply module is used to supply power to the temperature calibration device; The moving module is used to control the positioning and movement of the temperature calibration device; The temperature control module is used to control the temperature of the human body simulation module; A first temperature sensor 6, used to measure the temperature of the feedback human body simulation module; The human body simulation module is located in the thermal insulation layer 4 and is used to simulate the temperature characteristics of the human body.

[0027] In an embodiment of the present application, the standard temperature source further includes a data acquisition module 10 for acquiring data from the first temperature sensor 6 and the data measurement module.

[0028] In one embodiment of the present invention, the power supply module includes a charging electrode 13, a battery, a charging management component 14, a voltage output module 15 and a voltage regulation module 16, wherein the charging electrode 13 provides input voltage information to the charging management component 14, and the charging management component 14 can automatically correct the charging current and voltage according to the state of the battery.

[0029] In one embodiment of the present invention, the mobile module includes a mobile unit 11 and wheels 12, wherein: The mobile unit 11 is located inside one end of the housing 1 close to the ground and is connected to the power supply module and the data acquisition module; The wheel 12 is located outside the housing 1 at one end close to the ground and is connected to the mobile unit 11 .

[0030] It can be understood that the mobile unit 11 is used to automatically position the temperature calibration device and control the wheels 12 to move according to the positioning result.

[0031] In the embodiment of the present invention, the mobile unit 11 adopts the positioning function in the prior art, which is not specifically limited in the present invention.

[0032] In one embodiment of the present invention, the mobile unit adopts a laser radar positioning system, which obtains environmental feature information through 360-degree omnidirectional scanning, and uses a SLAM (simultaneous localization and mapping) algorithm to achieve precise positioning and autonomous navigation. Specifically, when the temperature calibration device triggers the automatic calibration condition of the infrared thermometer, the mobile unit first establishes an environmental map through laser radar scanning, and then plans the optimal motion path according to the preset calibration position. During the movement of the wheels, the position of the temperature calibration device itself is continuously updated through real-time scanning data, and the motion trajectory is dynamically adjusted according to environmental changes to ensure that the preset calibration position is accurately reached.

[0033] In one embodiment of the present invention, the human body simulation module includes a heat absorbing block 9 and a bionic skin 8, wherein: The heat equalizing block 9 is used to evenly distribute the heat of the temperature control module; The first temperature sensor 6 is used to measure the temperature of the heat equalizing block; The bionic skin 8 is covered on the surface of the heat equalizing block 9 to simulate the thermal properties of human skin.

[0034] The first temperature sensor 6 is located in the thermal insulation layer 4 , at the center of the heat equalizing block 9 , and is arranged on the inner side of the bionic skin 8 .

[0035] In one embodiment of the present application, the data measurement module includes a second temperature sensor 2 and a wind speed sensor 3, wherein: The second temperature sensor 2 is located on the outer surface of the housing 1 of the temperature calibration device and is used to collect the temperature of the area to be calibrated; The wind speed sensor 3 is located on the outer surface of the housing 1 of the temperature calibration device and is used to monitor the wind speed in the area to be calibrated.

[0036] In one embodiment of the present invention, the temperature control module includes a temperature controller 17, a temperature control sensor 5 and a heater 7, wherein the heater 7 is used to provide a heat source, the temperature controller 17 is used to set and control the temperature of the heater 7, and the temperature control sensor 5 is used to feedback the temperature of the heater so that the heater 7 provides the set temperature.

[0037] It can be understood that the voltage output by the charging management component 14 is converted into the voltage of the specifications required by the temperature controller 17 and the data acquisition module 10 through the voltage output module 15. The data acquisition module 10 controls the voltage regulation module 16 to supply power to the temperature controller 17. After the temperature controller 17 receives the instruction from the data acquisition module 10, the temperature controller 17 controls the working state of the heater 7, and controls the temperature of the heat equalizing block 9 through the heater 7. The temperature control sensor 5 is used as a temperature feedback sensor of the temperature control module to feedback the temperature of the heat equalizing block 9, and the temperature of the heat equalizing block 9 is adjusted by the temperature controller 17. Among them, the temperature controller 17 receives the control command signal from the data acquisition module 10, and outputs the corresponding control signal to adjust the working state of the heater 7, thereby realizing the precise control of the temperature of the heat equalizing block 9.

[0038] S2. When the real-time temperature data and the real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, the temperature calibration device is moved to a preset calibration position.

[0039] In one embodiment of the present invention, step S2 specifically includes: Set the temperature calibration reference, wind speed calibration reference, temperature deviation threshold and wind speed deviation threshold; Determine a first deviation and a second deviation according to the real-time temperature data and the temperature calibration reference and the real-time wind speed data and the wind speed calibration reference; wherein the first deviation is the deviation between the temperature of the area to be calibrated and the temperature calibration reference, and the second deviation is the deviation between the wind speed of the area to be calibrated and the wind speed calibration reference; Compare the first deviation and the second deviation with the temperature deviation threshold and the wind speed deviation threshold respectively: If the first deviation reaches the temperature deviation threshold and / or the second deviation reaches the wind speed deviation threshold, the automatic calibration condition is triggered, the temperature calibration device is moved to the preset calibration position through the moving module, the first temperature sensor is located at the center of the bionic skin, and the next step is performed.

[0040] In the embodiment of the present invention, the temperature calibration reference, the wind speed calibration reference, the temperature deviation threshold and the wind speed deviation threshold are set according to actual use requirements, and the present invention does not impose any specific limitation on this.

[0041] In the embodiment of the present invention, the temperature deviation threshold and the wind speed deviation threshold can be set according to the actual usage scenario, and the present invention does not make any specific limitation to this.

[0042] In an embodiment of the present invention, the preset calibration position may be set according to the actual usage scenario, and the present invention does not impose any specific limitation on this.

[0043] like Figure 4 As shown, in one embodiment of the present invention, when the temperature calibration device does not trigger the automatic calibration condition, the temperature calibration device is in a standby charging state, and the data measurement module of the temperature calibration device monitors the temperature data and wind speed data of the area to be calibrated in real time.

[0044] S3. Adjust the output temperature of the standard temperature source, record the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, and record the real-time temperature data and real-time wind speed data of the area to be calibrated.

[0045] It can be understood that the temperature of the heat block is adjusted by the temperature control module. Since the first temperature sensor is used to measure the temperature of the heat block, the output temperature of the standard temperature source is the measured temperature of the first temperature sensor.

[0046] Specifically, step S3 specifically includes: S31, setting several temperature control points; S32, using the temperature control point to set the output temperature of the temperature control module, using the first temperature sensor to monitor the temperature of the heat-absorbing block, controlling the temperature change of the first temperature sensor within a preset range within a preset time, and obtaining the measurement data of all infrared thermometers in the area to be calibrated; S33, monitoring the temperature of the heat-absorbing block through the first temperature sensor, and measuring the real-time temperature data and real-time wind speed data of the area to be calibrated through the data measurement module; S34. Repeat steps S32-S33 until the monitoring data of all first temperature sensors under all temperature control point conditions, the measurement data of all infrared thermometers in the area to be calibrated, and the real-time temperature data and real-time wind speed data of the area to be calibrated are recorded.

[0047] It will be appreciated that the temperature control points should cover the entire intended use range of the infrared thermometer.

[0048] In one embodiment of the present invention, a three-point calibration method can be used, that is, three temperature control points of 35°C, 37.5°C and 42°C are selected to calibrate the infrared thermometer.

[0049] In one embodiment of the present invention, a five-point calibration method can be used, that is, five temperature control points of 35°C, 36.5°C, 37.5°C, 39°C and 41°C are selected to calibrate the infrared thermometer.

[0050] S4. Analyze and process the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated, generate a calibration curve, and calibrate all infrared thermometers in the area to be calibrated according to the calibration curve.

[0051] The calibration curve is a corresponding relationship between the standard temperature and the measured value established according to the ambient temperature, wind speed, data of the first temperature sensor and the measurement data of the infrared thermometer to be calibrated, and is obtained by fitting through a mathematical method.

[0052] In one embodiment of the present invention, a host computer is used to record data and analyze and process the data.

[0053] S5. When all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters the standby state.

[0054] It can be understood that when all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device returns to the preset charging position through the mobile module to wait for charging and wait for the next triggering of automatic calibration conditions.

[0055] In one embodiment of the present invention, the temperature calibration device needs to be calibrated, and the calibration method is as follows: Step 1: setting the temperature of the temperature control module in the temperature calibration device, and installing a surface temperature sensor on the outside of the bionic skin, wherein the surface temperature sensor is used to measure the surface temperature of the bionic skin; Step 2: Set the ambient temperature of the location where the temperature calibration device is located, and keep the ambient temperature change within a preset range within a preset time; Step 3: Set the indoor air flow rate at the location of the temperature calibration device, keep the air flow rate change and the ambient temperature change within a preset range, and record the data of the first temperature sensor and the surface temperature sensor; Step 4: Change the indoor air flow rate at the location of the temperature calibration device, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air flow rates at the same ambient temperature, and record them as the first monitoring data; Step 5: Change the ambient temperature of the location of the temperature calibration device, repeat steps 3 to 4, and record the data of the first temperature sensor, the surface temperature sensor and the temperature of the temperature control module at different temperatures, which are recorded as second monitoring data; Step 6: Establish a first calibration equation using the first monitoring data and its corresponding ambient temperature and indoor air flow rate; calculate the surface temperature of the bionic skin based on the first calibration equation in combination with the indoor air flow rate, ambient temperature and the first temperature sensor data, and record it as the calibration temperature of the temperature calibration device; Step seven, using the second monitoring data and its corresponding ambient temperature and indoor air flow rate to establish a second calibration equation, based on the second calibration equation, combined with the indoor air flow rate, ambient temperature and the calibration temperature of the temperature calibration device, calculate the temperature setting point of the temperature control module, recorded as the temperature of the temperature control module in the temperature calibration device.

[0056] It can be understood that the second calibration equation is used to determine the temperature setting value of the temperature control module after the calibration condition is triggered. The temperature calibration device is calibrated before use. When calibrating the temperature calibration device, the temperature calibration device is placed in a constant temperature space and calibrated using a test device. The surface temperature meter of the test device is installed on the outside of the bionic skin to measure the temperature data of the bionic skin in the center area. Among them, the temperature of the temperature control module is the temperature of the temperature control sensor in the temperature control module.

[0057] The present invention establishes a calibration equation (i.e., a temperature correlation equation) under different ambient temperatures and air flow rates to achieve accurate calibration of a temperature calibration device and calculation of the temperature of a temperature control module, thereby improving both the reliability and stability of the temperature calibration device and the repeatability and stability of the temperature of the temperature calibration device.

[0058] The present invention uses a temperature calibration device to monitor the temperature and wind speed of the area to be calibrated in real time and automatically determines whether to perform calibration, thereby realizing unattended automatic calibration. It can also automatically move from a charging position to a preset calibration position and use multiple temperature control points for calibration, thereby improving the comprehensiveness and accuracy of the calibration.

[0059] A specific example is used to illustrate that three infrared thermometers are calibrated using a temperature calibration device: Place the temperature calibration device at the preset charging position and use the data measurement module to continuously monitor the temperature and wind speed in the area to be calibrated. The initial ambient temperature is 25°C and the wind speed is 0.2 m / s. Set the temperature calibration reference to 25°C, the wind speed calibration reference to 0.2 m / s, the temperature deviation threshold to ±2°C, and the wind speed deviation threshold to ±0.3 m / s; Assume that after 30 minutes, the ambient temperature rises to 28°C and the wind speed increases to 0.5 m / s. At this time, the temperature deviation is 3°C and the wind speed deviation is 0.3 m / s. Since the temperature deviation exceeds the temperature deviation threshold, the automatic calibration condition is triggered; The moving unit controls the wheels to achieve precise movement, so that the temperature calibration device automatically moves to a preset calibration position in front of the first infrared thermometer; The temperature control module sets three temperature control points according to environmental conditions: 35°C, 37°C, and 39°C; At each temperature control point: 1) The temperature control module controls the heater to adjust the temperature of the heat equalizing block; 2) Use the first temperature sensor to monitor the temperature of the heat-absorbing block, and the temperature control sensor maintains the temperature fluctuation of the heat-absorbing block within ±0.1°C within 10 minutes; 3) The first temperature sensor measures the temperature of the heat equalization block in the temperature calibration device, and the data acquisition module collects the data of the first temperature sensor, the ambient temperature and the ambient wind speed and transmits them to the host computer. At the same time, the host computer records the reading of the infrared thermometer to be calibrated; The temperature calibration device is moved to the second infrared thermometer and the third infrared thermometer in turn, and the above process is repeated; The calibration temperature of the temperature calibration device is obtained according to the reading of each infrared thermometer, the temperature of the heat equalization block in the temperature calibration device, the ambient temperature and the ambient wind speed, and the first calibration equation of the temperature calibration device; The host computer generates a calibration curve according to the reading of each infrared thermometer and the calibration temperature of the temperature calibration device, and uses the calibration curve to perform temperature calibration on the infrared thermometer; After completing the calibration of all infrared thermometers, the temperature calibration device automatically returns to the preset charging position through the mobile module, enters the standby charging state, continues to monitor the ambient temperature and wind speed in real time, and waits for the next triggering of automatic calibration conditions.

[0060] The automatic online calibration device provided by the present invention is described below. The automatic online calibration device described below and the automatic online calibration method described above can be referred to each other.

[0061] The present invention provides an automatic online calibration system for an infrared thermometer, which adopts the automatic online calibration method as described above, and comprises: A temperature calibration device, comprising at least a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated; A data acquisition module, used for collecting data from a standard temperature source and a data measurement module; The calibration module is configured to analyze the measurement data of all infrared thermometers in the calibration area under different conditions and the data collected by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the calibration area according to the calibration curve.

[0062] Figure 5 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 5As shown, the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logic instructions in the memory 530 to execute the automatic online calibration method, which includes: setting a temperature calibration device, the temperature calibration device includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, and obtaining real-time temperature data and real-time wind speed data through the data measurement module; when the real-time temperature data and real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, the temperature calibration device is moved to a preset calibration position; the output temperature of the standard temperature source is adjusted, and the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures are recorded, and the real-time temperature data and real-time wind speed data of the area to be calibrated are recorded at the same time; the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated are analyzed and processed to generate a calibration curve, and all infrared thermometers in the area to be calibrated are calibrated according to the calibration curve; when all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters a standby state.

[0063] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0064] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the automatic online calibration method provided by the above methods, which includes: setting a temperature calibration device, wherein the temperature calibration device includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, and obtaining real-time temperature data and real-time wind speed data through the data measurement module; when the real-time temperature data and real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, moving the temperature calibration device to a preset calibration position; adjusting the output temperature of the standard temperature source, recording the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, and recording the real-time temperature data and real-time wind speed data of the area to be calibrated; analyzing and processing the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated, generating a calibration curve, and calibrating all infrared thermometers in the area to be calibrated according to the calibration curve; when all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters a standby state.

[0065] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the automatic online calibration method provided by the above-mentioned methods, the method comprising: setting a temperature calibration device, the temperature calibration device comprising a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, obtaining real-time temperature data and real-time wind speed data through the data measurement module; when the real-time temperature data and real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, moving the temperature calibration device to a preset calibration position; adjusting the output temperature of the standard temperature source, recording the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, and recording the real-time temperature data and real-time wind speed data of the area to be calibrated at the same time; analyzing and processing the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated, generating a calibration curve, and calibrating all infrared thermometers in the area to be calibrated according to the calibration curve; when all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters a standby state.

[0066] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic online calibration method for an infrared thermometer, characterized in that: The following steps are involved: S1. Setting a temperature calibration device, wherein the temperature calibration device comprises a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated, and obtaining real-time temperature data and real-time wind speed data through the data measurement module; S2. When the real-time temperature data and the real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, the temperature calibration device is moved to a preset calibration position; S3, adjusting the output temperature of the standard temperature source, recording the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, and recording the real-time temperature data and real-time wind speed data of the area to be calibrated; S4, analyzing and processing the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures and the real-time temperature data and real-time wind speed data of the area to be calibrated, generating a calibration curve, and calibrating all infrared thermometers in the area to be calibrated according to the calibration curve; S5. When all infrared thermometers in the area to be calibrated are calibrated, the temperature calibration device leaves the preset calibration position and enters a standby state; The temperature calibration device further includes a power supply module and a moving module, and the standard temperature source includes a temperature control module, a first temperature sensor and a human body simulation module, wherein: The power supply module is used to supply power to the temperature calibration device; The moving module is used to control the positioning and movement of the temperature calibration device; The temperature control module is used to control the temperature of the human body simulation module; A first temperature sensor, used to measure the temperature of the feedback human body simulation module; The human body simulation module is located in the thermal insulation layer and is used to simulate the temperature characteristics of the human body; The human body simulation module includes a heat-saturating block and a bionic skin, wherein: The heat equalizing block is used to evenly distribute the heat of the temperature control module; The first temperature sensor is used to measure the temperature of the heat equalizing block; The bionic skin is covered on the surface of the heat equalizing block and is used to simulate the thermal properties of human skin.

2. The automatic online calibration method of an infrared thermometer according to claim 1, characterized in that: The temperature control module includes a thermostat, a heater and a temperature control sensor. The heater is used to provide a heat source, the thermostat is used to set and control the temperature of the heater, and the temperature control sensor is used to feed back the temperature of the heater so that the heater provides the set temperature.

3. The automatic online calibration method of an infrared thermometer according to claim 2, characterized in that: Step S2 specifically includes: Set the temperature calibration reference, wind speed calibration reference, temperature deviation threshold and wind speed deviation threshold; Determine a first deviation and a second deviation according to the real-time temperature data and the temperature calibration reference and the real-time wind speed data and the wind speed calibration reference; wherein the first deviation is the deviation between the temperature of the area to be calibrated and the temperature calibration reference, and the second deviation is the deviation between the wind speed of the area to be calibrated and the wind speed calibration reference; Compare the first deviation and the second deviation with the temperature deviation threshold and the wind speed deviation threshold respectively: If the first deviation reaches the temperature deviation threshold and / or the second deviation reaches the wind speed deviation threshold, the automatic calibration condition is triggered, and the temperature calibration device moves to a preset calibration position through the moving module.

4. The automatic online calibration method of an infrared thermometer according to claim 2, characterized in that: Step S3 specifically includes: S31, setting several temperature control points; S32, using the temperature control point to set the output temperature of the temperature control module, using the first temperature sensor to monitor the temperature of the heat-absorbing block, controlling the temperature change of the first temperature sensor within a preset range within a preset time, and obtaining the measurement data of all infrared thermometers in the area to be calibrated; S33, monitoring the temperature of the heat-absorbing block through the first temperature sensor, and measuring the real-time temperature data and real-time wind speed data of the area to be calibrated through the data measurement module; S34. Repeat steps S32-S33 until the monitoring data of all first temperature sensors under all temperature control point conditions, the measurement data of all infrared thermometers in the area to be calibrated, and the real-time temperature data and real-time wind speed data of the area to be calibrated are recorded.

5. The automatic online calibration method of an infrared thermometer according to claim 2, characterized in that: The temperature calibration device needs to be calibrated, and the calibration method is as follows: Step 1: setting the temperature of the temperature control module in the temperature calibration device, and installing a surface temperature sensor on the outside of the bionic skin, wherein the surface temperature sensor is used to measure the surface temperature of the bionic skin; Step 2: Set the ambient temperature of the location where the temperature calibration device is located, and keep the ambient temperature change within a preset range within a preset time; Step 3: Set the indoor air flow rate at the location of the temperature calibration device, keep the air flow rate change and the ambient temperature change within a preset range, and record the data of the first temperature sensor and the surface temperature sensor; Step 4: Change the indoor air flow rate at the location of the temperature calibration device, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air flow rates at the same ambient temperature, and record them as the first monitoring data; Step 5: Change the ambient temperature of the location of the temperature calibration device, repeat steps 3 to 4, and record the data of the first temperature sensor, the surface temperature sensor and the temperature of the temperature control module at different temperatures, which are recorded as second monitoring data; Step 6: Establish a first calibration equation using the first monitoring data and its corresponding ambient temperature and indoor air flow rate; calculate the surface temperature of the bionic skin based on the first calibration equation in combination with the indoor air flow rate, ambient temperature and the first temperature sensor data, and record it as the calibration temperature of the temperature calibration device; Step seven, using the second monitoring data and its corresponding ambient temperature and indoor air flow rate to establish a second calibration equation, based on the second calibration equation, combined with the indoor air flow rate, ambient temperature and the calibration temperature of the temperature calibration device, calculate the temperature setting point of the temperature control module, recorded as the temperature of the temperature control module in the temperature calibration device.

6. An automatic online calibration system for an infrared thermometer, characterized in that: The automatic online calibration method according to any one of claims 1 to 5 is adopted, comprising: A temperature calibration device, comprising at least a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed of the area to be calibrated; A data acquisition module, used for collecting data from a standard temperature source and a data measurement module; The calibration module is configured to analyze the measurement data of all infrared thermometers in the calibration area under different conditions and the data collected by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the calibration area according to the calibration curve.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the automatic online calibration method according to any one of claims 1 to 5 is implemented.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the automatic online calibration method according to any one of claims 1 to 5 is implemented.

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