An Automatic Online Calibration Method and System for an Infrared Thermometer

Abstract

The present invention provides an automatic online calibration method and system for an infrared thermometer, belonging to the field of thermometer calibration, including: S1 setting a temperature calibration device, the temperature calibration device including a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in the area to be calibrated, obtaining real-time temperature data and real-time wind speed data; S2 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 moves 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 to generate a calibration curve, and performing calibration 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.

Description

Technical Field

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

[0002] A thermometer is a commonly used testing instrument in daily life. With the ban on mercury-containing thermometers, the application of non-contact thermometers (such as infrared thermometers, forehead thermometers, etc.) is becoming more and more widespread and has gradually become the main instrument for measuring body temperature. During the spread of epidemic diseases, infrared probes for measuring body temperature are equipped in key densely populated places such as immigration management, railway stations, and schools. When these devices are in use, when a pedestrian passes by these temperature measurement probes, the probe prompts whether the body temperature is normal or abnormal according to the measured data and provides the result for relevant personnel to refer to.

[0003] In order to ensure the authenticity and reliability of these data, it is necessary to regularly calibrate these temperature measurement sensors. Generally, the practice is to remove these sensors from the fixing frame and calibrate them locally 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 result is affected by various factors. For example, environmental temperature, wind speed, fine dust particles or droplets in the air may all cause inaccurate measurement data. For example, for the same normal person's body temperature, when the environmental temperatures are 5°C and 20°C respectively, the body temperature data obtained using the same infrared thermometer will be different. In addition, when using an infrared thermometer for measurement, the directly measured value is the brightness temperature of the human body, and it is also necessary to convert the measured brightness temperature into body temperature data according to a preset human emissivity or empirical algorithm. Therefore, the measurement result of an infrared thermometer is also related to the human emissivity.

[0005] However, since calibration is generally carried out in a constant temperature and humidity laboratory, even after calibration and use, inaccurate measurement data will be caused due to the difference between the use environment and the calibration environment. And currently, when using a standard black body for calibration, when the use environment is different from the calibration environment, it may lead to problems with the measurement data.

[0006] Therefore, finding a method that can both improve the calibration accuracy of an infrared thermometer and improve the calibration efficiency is a technical problem that those skilled in the art urgently need to solve. Summary of the Invention

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

[0008] The present invention provides an automatic online calibration method for an infrared thermometer, comprising the following steps:

[0009] S1. Set up a temperature calibration device, which includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in the area to be calibrated. Real-time temperature data and real-time wind speed data are obtained through the data measurement module;

[0010] S2. When the real-time temperature data and real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, move the temperature calibration device to a preset calibration position;

[0011] 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 simultaneously record the real-time temperature data and real-time wind speed data of the area to be calibrated;

[0012] S4. Analyze and process the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, 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;

[0013] 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.

[0014] According to the 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 moving module. The standard temperature source includes a temperature control module, a first temperature sensor, and a human body simulation module. Among them,

[0015] The power supply module is used to supply power to the temperature calibration device;

[0016] The moving module is used to control the positioning and movement of the temperature calibration device;

[0017] The temperature control module is used to control the temperature of the human body simulation module;

[0018] The first temperature sensor is used to measure and feedback the temperature of the human body simulation module;

[0019] The human body simulation module is located inside the heat preservation layer and is used to simulate the temperature characteristics of the human body.

[0020] According to the automatic online calibration method for an infrared thermometer provided by the present invention, the human body simulation module includes a heat sink and a bionic skin. Among them,

[0021] The heat sink is used to evenly distribute the heat of the temperature control module;

[0022] The first temperature sensor is used to measure the temperature of the soaking block;

[0023] The bionic skin covers the surface of the soaking block and is used to simulate the thermal characteristics of human skin.

[0024] According to an automatic online calibration method of an infrared thermometer provided by the present invention, 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 feedback the temperature of the heater so that the heater provides the set temperature.

[0025] According to an automatic online calibration method of an infrared thermometer provided by the present invention, step S2 specifically includes:

[0026] Set a temperature calibration reference, a wind speed calibration reference, a temperature deviation threshold, and a wind speed deviation threshold;

[0027] 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, determine a first deviation and a second deviation; 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;

[0028] Compare the first deviation and the second deviation with the temperature deviation threshold and the wind speed deviation threshold respectively:

[0029] If the first deviation reaches the temperature deviation threshold and / or the second deviation reaches the wind speed deviation threshold, trigger the automatic calibration condition. The temperature calibration device moves to a preset calibration position through the moving module, and the first temperature sensor is located at the center position of the bionic skin, and proceed to the next step.

[0030] According to an automatic online calibration method of an infrared thermometer provided by the present invention, step S3 specifically includes:

[0031] S31. Set a number of temperature control points;

[0032] S32. Use the temperature control points to set the output temperature of the temperature control module, monitor the temperature of the soaking block using the first temperature sensor, control the temperature change of the first temperature sensor within a preset range within a preset time, and obtain the measurement data of all infrared thermometers in the area to be calibrated;

[0033] S33. Monitor the temperature of the soaking block through the first temperature sensor, and measure the real-time temperature data and real-time wind speed data of the area to be calibrated through the data measurement module;

[0034] S34. Repeat steps S32 - S33 until the monitoring data of all the first temperature sensors, the measurement data of all the infrared thermometers in the area to be calibrated, the real - time temperature data and the real - time wind speed data of the area to be calibrated are recorded.

[0035] 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:

[0036] Step 1. Set the temperature of the temperature control module in the temperature calibration device, and install a surface temperature sensor on the outer side of the bionic skin. The surface temperature sensor is used to measure the surface temperature of the bionic skin.

[0037] Step 2. Set the ambient temperature at the location where the temperature calibration device is located, and keep the change in the ambient temperature within a preset range within a preset time.

[0038] Step 3. Set the indoor air velocity at the location where the temperature calibration device is located, and keep the change in the air velocity and the change in the ambient temperature within a preset range, and record the data of the first temperature sensor and the surface temperature sensor.

[0039] Step 4. Change the indoor air velocity at the location where the temperature calibration device is located, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air velocities under the same ambient temperature, which is recorded as the first monitoring data.

[0040] Step 5. Change the ambient temperature at the location where the temperature calibration device is located, 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 is recorded as the second monitoring data.

[0041] Step 6. Establish a first calibration equation using the first monitoring data and its corresponding ambient temperature and indoor air velocity. According to the first calibration equation, combine the indoor air velocity, the ambient temperature and the data of the first temperature sensor to calculate the surface temperature of the bionic skin, which is recorded as the calibration temperature of the temperature calibration device.

[0042] Step 7. Establish a second calibration equation using the second monitoring data and its corresponding ambient temperature and indoor air velocity. According to the second calibration equation, combine the indoor air velocity, the ambient temperature and the calibration temperature of the temperature calibration device to calculate the temperature setting point of the temperature control module, which is recorded as the temperature of the temperature control module in the temperature calibration device.

[0043] 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 includes:

[0044] A temperature calibration device, at least including a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in the area to be calibrated;

[0045] A data acquisition module for acquiring data from the standard temperature source and the data measurement module;

[0046] A calibration module configured to analyze the measurement data of all infrared thermometers in the area to be calibrated under different conditions and the data acquired by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the area to be calibrated according to the calibration curve.

[0047] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the automatic online calibration method as described in any one of the above.

[0048] 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, it implements the automatic online calibration method as described in any one of the above.

[0049] The automatic online calibration method for infrared thermometers provided by the present invention uses the data measurement module of the temperature calibration device to real-time monitor the temperature and wind speed in the area to be calibrated and automatically determine whether to perform calibration, realizing unattended automatic calibration of infrared thermometers. And it automatically moves from the charging position to the preset calibration position through the moving module, and uses multiple temperature control points for calibration, improving the comprehensiveness and accuracy of infrared thermometer calibration. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 is a flowchart of the automatic online calibration method provided by the present invention;

[0052] Figure 2 is a block diagram of the temperature calibration device of the automatic online calibration method provided by the present invention;

[0053] Figure 3 is a structural diagram of the temperature calibration device of the automatic online calibration method provided by the present invention;

[0054] Figure 4 is a position diagram of the temperature calibration device of the automatic online calibration method provided by the present invention;

[0055] Figure 5 It is a schematic structural diagram of the electronic device provided by the present invention.

[0056] Reference numerals:

[0057] 1: housing; 2: second temperature sensor; 3: wind speed sensor; 4: heat insulation layer; 5: temperature control sensor; 6: first temperature sensor; 7: heater; 8: bionic skin; 9: heat spreader; 10: data acquisition module; 11: mobile unit; 12: wheel; 13: charging electrode; 14: charging management component; 15: voltage output module; 16: voltage regulation module; 17: thermostat. Detailed implementation manners

[0058] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] As Figure 1 and Figure 2 shown, the present invention provides an automatic online calibration method for an infrared thermometer, including the following steps:

[0060] S1. Set up 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 in the area to be calibrated, and real-time temperature data and real-time wind speed data are obtained through the data measurement module.

[0061] It can be understood that by real-time monitoring of the temperature and wind speed in the area to be calibrated through the data measurement module, it is convenient for the temperature calibration device to adjust the calibration parameters in a timely manner, so that the calibration result is more in line with the actual use environment, and the measurement accuracy of the infrared thermometer under different environmental conditions is improved.

[0062] In an 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.

[0063] As Figure 3 shown, specifically, 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,

[0064] The power supply module is used to supply power to the temperature calibration device;

[0065] The mobile module is used to control the positioning and movement of the temperature calibration device;

[0066] The temperature control module is used to control the temperature of the human body simulation module;

[0067] The first temperature sensor 6 is used to measure and feedback the temperature of the human body simulation module;

[0068] The human body simulation module is located in the heat preservation layer 4 and is used to simulate the temperature characteristics of the human body.

[0069] In an embodiment of the present application, the standard temperature source further includes a data acquisition module 10, which is used to acquire the data of the first temperature sensor 6 and the data measurement module.

[0070] In an embodiment of the present invention, the power supply module includes a charging electrode 13, a storage battery, a charging management component 14, a voltage output module 15 and a voltage regulation module 16. Among them, 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 storage battery.

[0071] In an embodiment of the present invention, the moving module includes a moving unit 11 and wheels 12, wherein,

[0072] The moving 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;

[0073] The wheels 12 are located outside one end of the housing 1 close to the ground and are connected to the moving unit 11.

[0074] It can be understood that the moving unit 11 is used to automatically position the temperature calibration device and control the wheels 12 to move according to the positioning result.

[0075] In an embodiment of the present invention, the moving unit 11 adopts the positioning function in the prior art, and the present invention does not make specific limitations thereto.

[0076] In an embodiment of the present invention, the moving unit adopts a lidar positioning system, which obtains environmental feature information through 360-degree omnidirectional scanning and uses the 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 moving unit first builds an environmental map through lidar scanning, then plans the optimal movement path according to the preset calibration position, continuously updates the position of the temperature calibration device itself through real-time scanning data during the movement of the wheels, and dynamically adjusts the movement trajectory according to the environmental changes to ensure accurate arrival at the preset calibration position.

[0077] In an embodiment of the present invention, the human body simulation module includes a heat sink 9 and a bionic skin 8, wherein,

[0078] The soaking block 9 is used to evenly distribute the heat of the temperature control module;

[0079] The first temperature sensor 6 is used to measure the temperature of the soaking block;

[0080] The bionic skin 8 covers the surface of the soaking block 9 and is used to simulate the thermal characteristics of the human skin.

[0081] Among them, the first temperature sensor 6 is located in the heat insulation layer 4, at the center of the soaking block 9, and is arranged inside the bionic skin 8.

[0082] In an embodiment of the present application, the data measurement module includes a second temperature sensor 2 and a wind speed sensor 3. Among them,

[0083] 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;

[0084] 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 of the area to be calibrated.

[0085] In an embodiment of the present invention, the temperature control module includes a thermostat 17, a temperature control sensor 5 and a heater 7. The heater 7 is used to provide a heat source. The thermostat 17 is used to set and control the temperature of the heater 7. The temperature control sensor 5 is used to feedback the temperature of the heater, so that the heater 7 provides the set temperature.

[0086] It can be understood that the voltage output by the charging management component 14 is respectively converted into the voltages required by the thermostat 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 thermostat 17. After receiving the instruction from the data acquisition module 10, the thermostat 17 controls the working state of the heater 7, controls the temperature of the soaking block 9 through the heater 7. The temperature control sensor 5 is used as the temperature feedback sensor of the temperature control module to feedback the temperature of the soaking block 9, and the thermostat 17 is used to adjust the temperature of the soaking block 9. Among them, the thermostat 17 receives the control instruction signal from the data acquisition module 10 and outputs the corresponding control signal to adjust the working state of the heater 7, so as to realize the precise control of the temperature of the soaking block 9.

[0087] S2. When the real-time temperature data and the real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, move the temperature calibration device to the preset calibration position.

[0088] In an embodiment of the present invention, step S2 specifically includes:

[0089] Set the temperature calibration reference, the wind speed calibration reference, the temperature deviation threshold and the wind speed deviation threshold;

[0090] Determine a first deviation and a second deviation based on real-time temperature data and a temperature calibration reference, and real-time wind speed data and a wind speed calibration reference; wherein, the first deviation is the deviation between the temperature in the area to be calibrated and the temperature calibration reference, and the second deviation is the deviation between the wind speed in the area to be calibrated and the wind speed calibration reference;

[0091] Compare the first deviation and the second deviation with a temperature deviation threshold and a wind speed deviation threshold respectively:

[0092] If the first deviation reaches the temperature deviation threshold and / or the second deviation reaches the wind speed deviation threshold, trigger an automatic calibration condition, and the temperature calibration device moves to a preset calibration position through a moving module. The first temperature sensor is located at the center of the bionic skin, and proceed to the next step.

[0093] In the embodiments 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 usage requirements, and the present invention does not make specific limitations on this.

[0094] In the embodiments 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 specific limitations on this.

[0095] In an embodiment of the present invention, the preset calibration position can be set according to the actual usage scenario, and the present invention does not make specific limitations on this.

[0096] As Figure 4 shown, in an 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 in the area to be calibrated in real time.

[0097] 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 simultaneously record the real-time temperature data and real-time wind speed data in the area to be calibrated.

[0098] It can be understood that by adjusting the temperature of the heat sink through the temperature control module, since the first temperature sensor is used to measure the temperature of the heat sink, the output temperature of the standard temperature source is the measured temperature of the first temperature sensor.

[0099] Specifically, step S3 specifically includes:

[0100] S31. Set a number of temperature control points;

[0101] S32. Set the output temperature of the temperature control module using the temperature control points, monitor the temperature of the soaking block with the first temperature sensor, control the temperature change of the first temperature sensor within a preset range within a preset time, and obtain the measurement data of all infrared thermometers in the area to be calibrated.

[0102] S33. Monitor the temperature of the soaking block through the first temperature sensor, and measure the real-time temperature data and real-time wind speed data of the area to be calibrated through the data measurement module.

[0103] S34. Repeat steps S32 - S33 until all the monitoring data of all first temperature sensors under all temperature control points, the measurement data of all infrared thermometers in the area to be calibrated, the real-time temperature data and real-time wind speed data of the area to be calibrated are recorded.

[0104] It can be understood that the temperature control points should cover the entire expected usage range of the infrared thermometer.

[0105] In an embodiment of the present invention, a three-point calibration method can be used, that is, select three temperature control points of 35°C, 37.5°C, and 42°C to calibrate the infrared thermometer.

[0106] In an embodiment of the present invention, a five-point calibration method can be used, that is, select five temperature control points of 35°C, 36.5°C, 37.5°C, 39°C, and 41°C to calibrate the infrared thermometer.

[0107] S4. Analyze and process the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, 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.

[0108] Among them, the calibration curve is the corresponding relationship between the standard temperature and the measured value established based on the environmental temperature, wind speed, data of the first temperature sensor, and the measurement data of the infrared thermometer to be calibrated, and is obtained by mathematical fitting.

[0109] In an embodiment of the present invention, the upper computer is used to record data and analyze and process the data.

[0110] 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.

[0111] 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 moving module to standby and charge, waiting for the next trigger of the automatic calibration condition.

[0112] In an embodiment of the present invention, the temperature calibration device needs to be calibrated, and the calibration method is as follows:

[0113] Step 1: Set the temperature of the temperature control module in the temperature calibration device, and install a surface temperature sensor on the outer side of the bionic skin. The surface temperature sensor is used to measure the surface temperature of the bionic skin.

[0114] Step 2: Set the ambient temperature of the location where the temperature calibration device is located, and keep the change in ambient temperature within a preset range within a preset time.

[0115] Step 3: Set the indoor air flow rate at the location where the temperature calibration device is located, and keep the changes in air flow rate and ambient temperature within a preset range, and record the data of the first temperature sensor and the surface temperature sensor.

[0116] Step 4: Change the indoor air flow rate at the location where the temperature calibration device is located, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air flow rates under the same ambient temperature, which is recorded as the first monitoring data.

[0117] Step 5: Change the ambient temperature of the location where the temperature calibration device is located, 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 is recorded as the second monitoring data.

[0118] Step 6: Use the first monitoring data and its corresponding ambient temperature and indoor air flow rate to establish a first calibration equation. According to the first calibration equation, combined with the indoor air flow rate, ambient temperature, and data of the first temperature sensor, calculate the surface temperature of the bionic skin, which is recorded as the calibration temperature of the temperature calibration device.

[0119] Step 7: Use the second monitoring data and its corresponding ambient temperature and indoor air flow rate to establish a second calibration equation. According to the second calibration equation, combined with the indoor air flow rate, ambient temperature, and calibration temperature of the temperature calibration device, calculate the temperature setting point of the temperature control module, which is recorded as the temperature of the temperature control module in the temperature calibration device.

[0120] 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. Calibration is performed before the temperature calibration device is used. When calibrating the temperature calibration device, place the temperature calibration device in a constant temperature space, and use a test device to calibrate the temperature calibration device. The surface temperature sensor of the test device is installed on the outer side of the bionic skin to measure the temperature data of the bionic skin in the central area. Among them, the temperature of the temperature control module is the temperature of the temperature control sensor in the temperature control module.

[0121] The present invention realizes the precise calibration of the temperature calibration device and the calculation of the temperature of the temperature control module by establishing a calibration equation (i.e., a temperature correlation formula) under different environmental temperatures and air flow rates, which not only improves the reliability and stability of the temperature calibration device, but also improves the repeatability and stability of the temperature of the temperature calibration device.

[0122] The present invention realizes unattended automatic calibration by using the temperature calibration device to monitor the temperature and wind speed of the area to be calibrated in real time and automatically judge whether to perform calibration, and can automatically move from the charging position to the preset calibration position, and uses multiple temperature control points for calibration to improve the comprehensiveness and accuracy of calibration.

[0123] A specific embodiment is used for illustration, that is, using the temperature calibration device to calibrate 3 infrared thermometers:

[0124] Place the temperature calibration device at the preset charging position, and use the data measurement module to continuously monitor the temperature and wind speed of the area to be calibrated. The initial environmental temperature is 25°C and the wind speed is 0.2 m / s;

[0125] Set the temperature calibration reference to 25°C, the wind speed calibration reference to 0.2 m / s, set the temperature deviation threshold to ±2°C, and the wind speed deviation threshold to ±0.3 m / s;

[0126] Suppose that after 30 minutes, the environmental 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;

[0127] Since the temperature deviation exceeds the temperature deviation threshold, the automatic calibration condition is triggered;

[0128] The moving unit controls the wheels to achieve precise movement, so that the temperature calibration device automatically moves to the preset calibration position in front of the first infrared thermometer;

[0129] The temperature control module sets 3 temperature control points according to the environmental conditions: 35°C, 37°C, 39°C;

[0130] Under the conditions of each temperature control point:

[0131] 1) The temperature control module controls the heater to adjust the temperature of the heat sink;

[0132] 2) Use the first temperature sensor to monitor the temperature of the heat sink, and the temperature control sensor keeps the temperature fluctuation of the heat sink within ±0.1°C within 10 minutes;

[0133] 3) The first temperature sensor measures the temperature of the heat sink in the temperature calibration device. The data acquisition module collects the data of the first temperature sensor, the environmental temperature and the environmental wind speed and transmits them to the upper computer. At the same time, the upper computer records the readings of the infrared thermometer to be calibrated;

[0134] The temperature calibration device moves in front of the second and third infrared thermometers in sequence, repeating the above process;

[0135] According to the readings of each infrared thermometer, the temperature of the heat sink in the temperature calibration device, the ambient temperature, the ambient wind speed, and the first calibration equation of the temperature calibration device, the calibrated temperature of the temperature calibration device is obtained;

[0136] The host computer generates a calibration curve based on the readings of each infrared thermometer and the calibrated temperature of the temperature calibration device, and uses the calibration curve to calibrate the temperature of the infrared thermometer;

[0137] When the calibration of all infrared thermometers is completed, the temperature calibration device automatically returns to the preset charging position through the moving module, enters the standby charging state, continues to monitor the ambient temperature and wind speed in real time, and waits for the next trigger of the automatic calibration condition.

[0138] The automatic online calibration device provided by the present invention will be described below. The automatic online calibration device described below can be mutually corresponding and referred to the automatic online calibration method described above.

[0139] The present invention provides an automatic online calibration system for an infrared thermometer, adopting the automatic online calibration method as described above, including:

[0140] A temperature calibration device, at least including a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in the area to be calibrated;

[0141] A data acquisition module for acquiring the data of the standard temperature source and the data measurement module;

[0142] A calibration module configured to analyze the measurement data of all infrared thermometers in the area to be calibrated under different conditions and the data acquired by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the area to be calibrated according to the calibration curve.

[0143] Figure 5 An example of a schematic physical structure diagram of an electronic device is shown in Figure 5As shown in the figure, the electronic device may include: a processor 510, a communications interface 520, a memory 530, and a communication bus 540. Among them, the processor 510, the communications interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call the logical instructions in the memory 530 to execute an automatic online calibration method, which includes: setting a temperature calibration device, where the temperature calibration device includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in 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 simultaneously 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 to generate 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 the standby state.

[0144] In addition, when the logical instructions in the above-mentioned memory 530 are implemented in the form of software function units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0145] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program 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 each of the above methods. The method includes: setting up a temperature calibration device, which includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in 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 simultaneously 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 the standby state.

[0146] On another aspect, 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, it realizes the automatic online calibration method provided by each of the above methods. The method includes: setting up a temperature calibration device, which includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in 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 simultaneously 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 the standby state.

[0147] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0148] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing 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.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate 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, It includes the following steps: S1. Set up a temperature calibration device, which includes a standard temperature source and a data measurement module for real-time monitoring of the temperature and wind speed in the area to be calibrated. Obtain real-time temperature data and real-time wind speed data through the data measurement module; S2. When the real-time temperature data and real-time wind speed data trigger the automatic calibration condition of the infrared thermometer, move the temperature calibration device to a preset calibration position; 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 at the same time record the real-time temperature data and real-time wind speed data of the area to be calibrated; S4. Analyze and process the measurement data of all infrared thermometers in the area to be calibrated at different output temperatures, 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; 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; The temperature calibration device further includes a power supply module and a moving module. The standard temperature source includes a temperature control module, a first temperature sensor, and a human body simulation module. Among them, 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; The first temperature sensor is used to measure and feedback the temperature of the human body simulation module; The human body simulation module is located in the heat preservation layer and is used to simulate the temperature characteristics of the human body; The human body simulation module includes a heat sink and a bionic skin. Among them, The heat sink 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 sink; The bionic skin covers the surface of the heat sink and is used to simulate the thermal characteristics of the human skin; The temperature calibration device needs to be calibrated. The calibration method is as follows: Step 1. Set the temperature of the temperature control module in the temperature calibration device, and install a surface temperature sensor outside the bionic skin. The surface temperature sensor is used to measure the surface temperature of the bionic skin; Step 2. Set the ambient temperature at the location where the temperature calibration device is located, and keep the change in ambient temperature within a preset range within a preset time; Step 3. Set the indoor air flow rate at the location where the temperature calibration device is located, and keep the change in air flow rate and the change in ambient temperature 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 where the temperature calibration device is located, and record the data of the first temperature sensor and the surface temperature sensor at different indoor air flow rates under the same ambient temperature, which is recorded as the first monitoring data; Step 5. Change the ambient temperature at the location where the temperature calibration device is located, 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 is recorded as the second monitoring data; Step 6: Establish a first calibration equation using the first monitoring data and its corresponding ambient temperature and indoor air velocity. According to the first calibration equation, combine the indoor air velocity, ambient temperature, and the first temperature sensor data to calculate the surface temperature of the bionic skin, denoted as the calibration temperature of the temperature calibration device. Step 7: Establish a second calibration equation using the second monitoring data and its corresponding ambient temperature and indoor air velocity. According to the second calibration equation, combine the indoor air velocity, ambient temperature, and the calibration temperature of the temperature calibration device to calculate the temperature setpoint of the temperature control module, denoted as the temperature of the temperature control module in the temperature calibration device.

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. The temperature control sensor is used to feedback 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, wherein, Step S2 specifically includes: Set a temperature calibration reference, a wind speed calibration reference, a temperature deviation threshold, and a wind speed deviation threshold. Determine a first deviation and a second deviation based on the real-time temperature data and the temperature calibration reference and the real-time wind speed data and the wind speed calibration reference. Among them, 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, trigger the automatic calibration condition, and the temperature calibration device moves to the 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: Set a number of temperature control points. S32: Use the temperature control points to set the output temperature of the temperature control module. Use the first temperature sensor to monitor the temperature of the heat sink. Control the temperature change of the first temperature sensor within a preset range within a preset time, and obtain the measurement data of all infrared thermometers in the area to be calibrated. S33: Monitor the temperature of the heat sink through the first temperature sensor, and measure 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 all the monitoring data of all first temperature sensors, the measurement data of all infrared thermometers in the area to be calibrated, the real-time temperature data, and the real-time wind speed data of the area to be calibrated are recorded under all temperature control point conditions.

5. An automatic online calibration system for an infrared thermometer, characterized in that, Adopt the automatic online calibration method as described in any one of claims 1 - 4, including: A temperature calibration device, at least including 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 for acquiring the data of the standard temperature source and the data measurement module. A calibration module configured to analyze the measurement data of all infrared thermometers in the area to be calibrated under different conditions and the data acquired by the data acquisition module, generate a calibration curve, and calibrate all infrared thermometers in the area to be calibrated according to the calibration curve.

6. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the automatic online calibration method as described in any one of claims 1 to 4 when executing the program.

7. 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, it implements the automatic online calibration method according to any one of claims 1 to 4.

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