WO2022007348A1 - 温度检测方法、装置、介质及电子设备 - Google Patents

温度检测方法、装置、介质及电子设备 Download PDF

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Publication number
WO2022007348A1
WO2022007348A1 PCT/CN2020/139177 CN2020139177W WO2022007348A1 WO 2022007348 A1 WO2022007348 A1 WO 2022007348A1 CN 2020139177 W CN2020139177 W CN 2020139177W WO 2022007348 A1 WO2022007348 A1 WO 2022007348A1
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Prior art keywords
temperature
time
real
upper limit
trend
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PCT/CN2020/139177
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English (en)
French (fr)
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汪辉
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浙江宇视科技有限公司
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Priority to US18/004,388 priority Critical patent/US20230277066A1/en
Priority to EP20944316.7A priority patent/EP4177583A1/en
Publication of WO2022007348A1 publication Critical patent/WO2022007348A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K3/00—Thermometers giving results other than momentary value of temperature
    • G01K3/08—Thermometers giving results other than momentary value of temperature giving differences of values; giving differentiated values
    • G01K3/10—Thermometers giving results other than momentary value of temperature giving differences of values; giving differentiated values in respect of time, e.g. reacting only to a quick change of temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221—Determining signal validity, reliability or quality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7282—Event detection, e.g. detecting unique waveforms indicative of a medical condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • G01K13/20—Clinical contact thermometers for use with humans or animals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
    • A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
    • A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0008—Temperature signals
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
    • G01J5/0025—Living bodies
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/02—Constructional details
    • G01J5/026—Control of working procedures of a pyrometer, other than calibration; Bandwidth calculation; Gain control

Definitions

  • the present application relates to the technical field of temperature detection, for example, to a temperature detection method, device, medium and electronic equipment.
  • Non-contact human body temperature measurement method using a forehead thermometer to measure human body temperature.
  • a forehead thermometer In outdoor scenes, because the body surface temperature of the human body fluctuates greatly due to the influence of the environment, it takes a certain period of time to restore the normal body surface temperature, which leads to the temperature measurement results obtained by the forehead thermometer often unable to truly reflect the human body. temperature. Due to the limitations of some scenarios, such as the entrances and exits of stations, shopping malls, and office buildings, it is not possible to test each person for a long enough time, and the accuracy of the temperature test results cannot be guaranteed.
  • the present application provides a temperature detection method, device, medium and electronic equipment, which can calculate the thermal equilibrium temperature value by performing temperature trend detection, and determine the human body temperature detection result according to the relationship between the thermal equilibrium temperature value and the alarm temperature threshold, so as to To achieve the purpose of improving the accuracy of human body temperature detection.
  • a temperature detection method comprising:
  • the real-time temperature of the detected person determine whether the temperature change trend of the detected person is an upward trend or a downward trend according to the real-time temperature, and obtain a real-time temperature change speed according to the real-time temperature;
  • the upper limit of the speed change and the lower limit of the speed change respectively determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change;
  • thermoelectric device comprising:
  • the real-time temperature change speed acquisition module is configured to obtain the real-time temperature of the detected person, determine whether the temperature change trend of the detected person is an upward trend or a downward trend according to the real-time temperature, and obtain the real-time temperature change speed according to the real-time temperature ;
  • a limit determination module configured to determine the upper limit of the speed change and the lower limit of the speed change according to the real-time temperature change speed
  • the temperature difference value determination module is set to determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change respectively according to the upper limit of the speed change and the lower limit of the speed change;
  • a thermal balance temperature range determination module configured to determine the thermal balance temperature upper limit and the thermal balance temperature lower limit according to the temperature difference value corresponding to the real-time temperature and the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change, and according to the temperature change trend;
  • the detection result determination module is set to determine the temperature detection result of the detected person according to the relationship between the thermal equilibrium temperature upper limit value, the thermal equilibrium temperature lower limit value and the alarm temperature threshold.
  • a computer-readable storage medium is also provided, storing a computer program, and when the computer program is executed by a processor, the temperature detection method according to the embodiment of the present application is implemented.
  • An electronic device including a memory, a processor, and a computer program stored on the memory and running on the processor, where the processor implements the temperature detection method described in the embodiments of the present application when the processor executes the computer program .
  • FIG. 1 is a flowchart of a temperature detection method provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of a temperature trend detection window provided by an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a temperature trend detection window provided by an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of a temperature detection device provided by an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart depicts various steps as a sequential process, many of the steps may be performed in parallel, concurrently, or concurrently. Furthermore, the order of the various steps can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures.
  • the processes may correspond to methods, functions, procedures, subroutines, subroutines, and the like.
  • the body surface temperature and body temperature of the human body There is a correspondence between the body surface temperature and body temperature of the human body. Based on this correspondence, the corresponding body temperature can be calculated by measuring the body surface temperature. Forehead thermometers and ear thermometers sold on the market all work based on this principle.
  • the body surface temperature of the human body will change with the changes of the environmental temperature, air humidity, environmental wind, the coverage of the clothing on the body surface, and the movement state of the human body. Therefore, when the above factors change, there will be inaccurate temperature measurement. .
  • the body surface temperature of the human body when a person walks from a high temperature indoor to a relatively low temperature gate to measure the temperature, the body surface temperature of the human body will be relatively high, and when the human body goes from a low temperature outdoor to an indoor temperature measurement, the human body surface temperature will be relatively low. At this time, the body surface temperature of the human body is in a non-thermal equilibrium state. At this time, if the body surface temperature is measured, a relatively inaccurate temperature value will be obtained.
  • the body surface temperature of the human body is affected by internal heat production and body surface heat dissipation.
  • the ways of human body heat production include basal metabolism heat production, exercise heat production, human vasoconstriction and diastolic heat production, and human body tremor heat production.
  • the temperature measurement speed is also an important indicator, which will affect the actual use experience. For example, when the temperature measurement is clocked during the rush hour, the slower temperature measurement speed will lead to long queues. On the one hand, It will affect the speed of commuting. On the one hand, it will lead to a large number of people gathering and increase the risk of cross-infection.
  • the body temperature detection is to predict the body temperature by detecting the body surface temperature.
  • the following procedures describe the body surface temperature.
  • FIG. 1 is a flowchart of a temperature detection method provided by an embodiment of the present application. This embodiment can be applied to the case of body temperature detection. The method can be executed by the temperature detection device provided by the embodiment of the present application, and the device can be performed by software and/or It can be implemented by means of hardware and can be integrated into electronic devices with corresponding computing capabilities.
  • the temperature detection method includes:
  • the people being tested can be staff, students, and travelers.
  • the real-time temperature of the tested person can be obtained through a thermometer, etc.
  • the real-time temperature of the tested person can be one temperature value or multiple temperature values. For example, by controlling the body temperature gun to collect body temperature at a preset frequency, multiple body temperature values can be obtained. For example, if the temperature is collected every 0.2 seconds, then During the two second acquisition time, 10 real-time temperature values can be obtained.
  • the temperature change trend of the detected person can be determined according to the change rule of the temperature values of the multiple real-time temperatures.
  • the temperature change trend can include an upward trend, a downward trend and a flat trend. If the body temperature of the tested person is in a flat trend, it means that the measured real-time temperature is consistent with the actual thermal equilibrium temperature of the tested person, and the judgment can be made directly.
  • the real-time temperature change speed may be determined according to the slopes between multiple temperature values, for example, may be determined according to the average value of the slopes between two adjacent temperature values. For example, the slope formed by temperature value 1 and temperature value 2, the slope formed by temperature value 2 and temperature value 3, and so on, and then taking the average of all the obtained slopes, the real-time temperature change rate can be obtained.
  • the average slope is greater than 0, it is determined that the temperature change trend is an upward trend; if the average slope is less than 0, it is determined that the temperature change trend is a downward trend.
  • the preset period may be 0.2 seconds, 0.5 seconds, or a longer or shorter time.
  • the temperature sampling points can be displayed in the temperature trend detection window.
  • the temperature trend detection window can be set on the body temperature gun, and can also be set on a smart terminal that communicates with the body temperature gun, such as a smart mobile terminal, a computer, and a tablet computer.
  • FIG. 2 and FIG. 3 are schematic diagrams of a temperature trend detection window provided by an embodiment of the present application. As shown in Figure 2 and Figure 3, if the temperature gradually increases over time, the average slope is greater than 0, indicating that the temperature change trend of the detected person's body surface temperature is an upward trend, and the average slope is less than 0, then it is downtrend.
  • the method further includes:
  • the temperature decrease speed in the temperature trend detection window is calculated as the real-time temperature change speed.
  • the temperature increase rate or the temperature decrease rate in the temperature trend detection window can be calculated as the real-time temperature change rate.
  • the upper limit of the speed change and the lower limit of the speed change can be determined according to the real-time temperature change speed and the preset empirical coefficient.
  • the real-time temperature change rate includes a temperature increase rate and a temperature decrease rate.
  • the determining the upper limit of the speed change and the lower limit of the speed change according to the real-time temperature change speed including:
  • the upper limit of the speed change is determined according to the product of the temperature increase speed and a preset upper limit coefficient; and the lower limit of the speed change is determined according to the product of the temperature decrease speed and a preset lower limit coefficient.
  • determining the upper limit of the speed change and the lower limit of the speed change according to the real-time temperature change speed including:
  • KLow is an empirical coefficient less than 1
  • KHig is an empirical coefficient greater than 1.
  • the temperature change rate is controlled by the empirical coefficient, and the thermal equilibrium temperature can be calculated through the range value, which can ensure the effect of the final thermal equilibrium temperature being more accurate.
  • the temperature difference value may be the difference between the thermal equilibrium temperature and the real-time temperature.
  • the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change can be determined according to the upper limit of the speed change and the lower limit of the speed change.
  • the characteristic that the larger the temperature difference value is, the faster the speed change is can be used to construct a table of the mapping relationship between the magnitude of the speed change and the temperature difference value.
  • the corresponding temperature difference values can be determined from the table according to the obtained upper limit and lower limit of speed change.
  • the temperature difference value TempDiffCurLow and TempDiffCurHigh under the current speed can be obtained by looking up the table with the temperature speed lower limit SpeedTempLow and the temperature speed upper limit SpeedTempHig respectively by using the linear interpolation method.
  • S140 Determine the upper limit value of thermal equilibrium temperature and the lower limit value of thermal equilibrium temperature according to the temperature difference value corresponding to the real-time temperature and the upper limit of speed change and the temperature difference value corresponding to the lower limit of speed change, and according to the temperature change trend.
  • the thermal equilibrium temperature can be determined according to the temperature change trend, the currently measured real-time temperature, the temperature difference value corresponding to the previously determined upper limit of speed change and the temperature difference value corresponding to the lower limit of speed change.
  • the temperature difference value corresponding to the real-time temperature and the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change determine the upper limit of the thermal equilibrium temperature and the lower limit of the thermal equilibrium temperature.
  • Limits including:
  • the thermal equilibrium temperature upper limit is the sum of the temperature difference values corresponding to the real-time temperature and the speed change upper limit;
  • the thermal equilibrium temperature lower limit is the sum of the temperature difference values corresponding to the real-time temperature and the speed change lower limit
  • the thermal equilibrium temperature upper limit is the difference between the real-time temperature and the temperature difference value corresponding to the speed change lower limit
  • the thermal equilibrium temperature lower limit value is the difference between the real-time temperature and the temperature difference value corresponding to the speed change upper limit value.
  • TempHeatBalanceLow TempCur+TempDiffCurLow
  • TempHeatBalanceHig TempCur+TempDiffCurHig
  • TempHeatBalanceLow TempCur-TempDiffCurHig
  • TempHeatBalanceHig TempCur-TempDiffCurLow
  • the thermal equilibrium temperature upper limit value and the thermal equilibrium temperature lower limit value can be respectively obtained for different temperature change trends.
  • the body temperature threshold for human fever alarm is generally 37.3 degrees, but the corresponding body surface temperature is different under different ambient temperatures, it is necessary to establish a mapping relationship table between ambient temperature and alarm body surface temperature.
  • mapping relationship table between ambient temperature and alarm body surface temperature can be established through experiments.
  • the alarm temperature threshold ThrTempAlm under the current ambient temperature is obtained by looking up the table by means of linear interpolation. For example, if the ambient temperature is 20 degrees, the temperature threshold of the alarm body surface may be lower than 37.3 degrees, such as 37 degrees.
  • the goal of this solution is to detect the personnel whose thermal equilibrium temperature exceeds the alarm temperature threshold, that is, the detection of the personnel with the phenomenon of high fever. Therefore, in an upward trend, the lower limit of the thermal equilibrium temperature corresponding to the lower limit of the speed change can be determined, and if the alarm temperature threshold is exceeded, it is determined that the detected person is in a state of high fever. In the descending stage, the lower limit of the thermal equilibrium temperature corresponding to the upper limit of the speed change can be determined. If the lower limit of the thermal equilibrium temperature exceeds the alarm temperature threshold, it is determined that the detected person is in a state of high fever.
  • the temperature detection results of the detected personnel are determined, including:
  • the technical solution provided by the embodiment of the present application is to obtain the real-time temperature of the detected person; and determine whether the temperature change trend of the detected person is an upward trend or a downward trend, and obtain the real-time temperature change speed; according to the real-time temperature change speed , determine the upper limit of the speed change and the lower limit of the speed change; according to the upper limit of the speed change and the lower limit of the speed change, respectively determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change; The temperature difference value corresponding to the temperature difference value and the lower limit of the speed change, and according to the temperature change trend, determine the upper limit value of the heat balance temperature and the lower limit value of the heat balance temperature; according to the relationship between the upper limit value of the heat balance temperature and the lower limit value of the heat balance temperature and the alarm temperature threshold The temperature test result of the tested person.
  • the temperature trend detection can be performed to calculate the thermal equilibrium temperature value, and the human body temperature detection result can be determined according to the relationship between the thermal equilibrium temperature value and the alarm temperature threshold, so as to improve the accuracy of human body temperature detection. sexual purpose.
  • the method further includes:
  • the upper limit of the speed change and the lower limit of the speed change respectively determine the upper limit of the balance time and the lower limit of the balance time
  • the upper limit value of the equilibrium time and the lower limit of the equilibrium time are the parameters in the table of the mapping relationship between the magnitude of the speed change and the temperature difference value, that is, the time value when the temperature reaches equilibrium, and the time value when the temperature reaches equilibrium is judged to ensure the measurement. temperature speed.
  • mapping relationship between the size of the speed change and the temperature difference value can be as follows:
  • Table item 1 temperature difference 1, temperature change rate 1, temperature reaching equilibrium time 1;
  • Table item 2 temperature difference 2, temperature change rate 2, temperature reaching equilibrium time 2;
  • Table item N temperature difference N, temperature change speed N, temperature reaching equilibrium time N.
  • TempHeatBalanceLow TempCur-TempDiffCurHig
  • TempHeatBalanceHig TempCur-TempDiffCurLow
  • determine the temperature detection result of the tested person including:
  • the alarm temperature threshold is greater than the thermal equilibrium temperature lower limit value and smaller than the thermal equilibrium temperature upper limit value, determining the relationship between the equilibrium time from the real-time temperature rising to the alarm temperature threshold value and the acceptable measurement time threshold;
  • the alarm temperature threshold is greater than the thermal equilibrium temperature lower limit value and less than the thermal equilibrium temperature upper limit value, then determine the relationship between the equilibration time from the real-time temperature dropping to the alarm temperature threshold value and the acceptable measurement time threshold;
  • the acceptable measurement time threshold may be determined according to the detection environment. For example, in a train station, because there are very many passengers, it can often be set to be shorter, such as 10 seconds. If you are in an office, you can set it to be longer, such as 25 seconds, because there are fewer staff in and out.
  • the equilibration time corresponding to the rising state and the falling state has been previously determined, it is possible to compare the equilibration time with the measurement time threshold to determine whether to wait for the length of the equilibration time before performing body temperature detection on the subject.
  • the alarm temperature threshold value is greater than the lower limit value of thermal equilibrium temperature and less than the upper limit value of thermal equilibrium temperature, determine the relationship between the equilibrium time from the real-time temperature rising to the alarm temperature threshold value and the acceptable measurement time threshold;
  • Body temperature detection is deployed.
  • TimeAlarmHeatBalanceMax is less than or equal to the acceptable measurement time threshold ThrTimeWait, then keep the continuous temperature measurement state;
  • TimeAlarmHeatBalanceMax is greater than the acceptable measurement time threshold ThrTimeWait, it indicates that the temperature is unstable and will be measured later.
  • TimeAlarmHeatBalanceMax is less than or equal to the acceptable measurement time threshold ThrTimeWait, keep the continuous temperature measurement state
  • TimeAlarmHeatBalanceMax is greater than the acceptable measurement time threshold ThrTimeWait, it indicates that the temperature is unstable and will be measured later.
  • FIG. 4 is a schematic structural diagram of a temperature detection device provided by an embodiment of the present application. As shown in Figure 4, the temperature detection device includes:
  • the real-time temperature change speed obtaining module 410 is configured to obtain the real-time temperature of the detected person; and determine whether the temperature change trend of the detected person is an upward trend or a downward trend, and obtain the real-time temperature change speed;
  • the limit determination module 420 is configured to determine the upper limit of the speed change and the lower limit of the speed change according to the real-time temperature change speed;
  • the temperature difference value determination module 430 is configured to respectively determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change according to the upper limit of the speed change and the lower limit of the speed change;
  • the thermal balance temperature range determination module 440 is configured to determine the thermal balance temperature upper limit value and the thermal balance temperature lower limit value according to the temperature difference value corresponding to the real-time temperature and the speed change upper limit and the temperature difference value corresponding to the speed change lower limit, and according to the temperature change trend;
  • the detection result determination module 450 is configured to determine the temperature detection result of the detected person according to the relationship between the thermal equilibrium temperature upper limit value, the thermal equilibrium temperature lower limit value and the alarm temperature threshold.
  • the above product can execute the method provided by the embodiments of the present application, and has functional modules and effects corresponding to the execution method.
  • Embodiments of the present application further provide a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute a temperature detection method when executed by a computer processor, and the method includes:
  • the upper limit of the speed change and the lower limit of the speed change respectively determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change;
  • the temperature detection result of the detected person is determined.
  • Storage media are various types of memory devices or storage devices.
  • Storage media includes: installation media, such as portable Compact Disc Read Only Memory (CD-ROM), floppy disks, or tape devices; computer system memory or random access memory, such as dynamic random access memory (Dynamic Random Access Memory) Random Access Memory, DRAM), Double Data Rate Random Access Memory (DDR RAM), Static Random Access Memory (Static Random-Access Memory, SRAM), Extended Data Output Random Access Memory (Extended Data Rate Random Access Memory, DDR RAM) Data Output Random Access Memory, EDO RAM), Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (eg hard disk or optical storage); registers or other similar types of memory elements, etc.
  • installation media such as portable Compact Disc Read Only Memory (CD-ROM), floppy disks, or tape devices
  • computer system memory or random access memory such as dynamic random access memory (Dynamic Random Access Memory) Random Access Memory, DRAM), Double Data Rate Random Access Memory (DDR RAM), Static Random Access Memory (S
  • the storage medium may also include other types of memory or combinations thereof.
  • the storage medium may be located in the computer system in which the program is executed, or may be located in a different second computer system connected to the computer system through a network such as the Internet.
  • the second computer system may provide program instructions to the computer for execution.
  • the term "storage medium" may include two or more storage media that may reside in different locations (eg, in different computer systems connected by a network).
  • a storage medium may store program instructions (eg, implemented as a computer program) executable by one or more processors.
  • a storage medium containing computer-executable instructions provided by an embodiment of the present application the computer-executable instructions of which are not limited to the above-mentioned temperature detection operation, and can also execute related temperature detection methods provided by any embodiment of the present application. operate.
  • FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. 5 , this embodiment provides an electronic device 500, including: one or more processors 520; and a storage device 510 for storing one or more programs, when the one or more programs are stored The one or more processors 520 execute, so that the one or more processors 520 implement the temperature detection method provided by the embodiments of the present application, and the method includes:
  • the upper limit of the speed change and the lower limit of the speed change respectively determine the temperature difference value corresponding to the upper limit of the speed change and the temperature difference value corresponding to the lower limit of the speed change;
  • the temperature detection result of the detected person is determined.
  • the processor 520 also implements the technical solution of the temperature detection method provided by any embodiment of the present application.
  • the electronic device 500 shown in FIG. 5 is only an example, and should not impose any limitations on the functions and scope of use of the embodiments of the present application.
  • the electronic device 500 includes a processor 520 , a storage device 510 , an input device 530 and an output device 540 ; the number of processors 520 in the electronic device may be one or more, and one processor 520 is used in FIG. 5 .
  • the processor 520 , the storage device 510 , the input device 530 and the output device 540 in the electronic device may be connected by a bus or other means, and the connection by the bus 550 is taken as an example in FIG. 5 .
  • the storage device 510 may be used to store software programs, computer-executable programs, and module units, such as program instructions corresponding to the temperature detection method in the embodiments of the present application.
  • the storage device 510 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, storage device 510 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, storage device 510 may include memory located remotely from processor 520, which may be connected through a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the input device 530 may be used to receive input numbers, character information or voice information, and generate key signal input related to user settings and function control of the device.
  • the output device 540 may include a display screen, a speaker, and the like.
  • the electronic device provided by the embodiments of the present application can detect the temperature trend to calculate the thermal equilibrium temperature value, and determine the human body temperature detection result according to the relationship between the thermal equilibrium temperature value and the alarm temperature threshold, so as to improve the accuracy of human body temperature detection the goal of.
  • the temperature detection device, medium, and electronic device provided in the above embodiments can execute the temperature detection method provided by any embodiment of the present application, and have corresponding functional modules and effects for executing the method.
  • the temperature detection method provided in any embodiment of the present application.

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Abstract

一种温度检测方法、装置、介质及电子设备（500）。温度检测方法包括：获取被检测人员的实时温度，根据实时温度确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并根据实时温度获取实时温度变化速度（S110）；根据实时温度变化速度，确定速度变化上限和速度变化下限（S120）；根据速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值（S130）；根据实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值（S140）；根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果（S150）。

Description

温度检测方法、装置、介质及电子设备
本申请要求在2020年07月06日提交中国专利局、申请号为202010642012.X的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及温度检测技术领域，例如涉及一种温度检测方法、装置、介质及电子设备。
背景技术
随着科技水平的迅速发展，人们对人体安全的关注度越来越高。在一些场景中，对于人体进行非接触式测温非常重要。
非接触式人体测温方法，使用额温枪进行人体测温。而在室外场景下，由于人体的体表温度受环境影响波动较大，需要在一定时间才能够恢复正常体表温度，这就导致额温枪得到的温度测量结果往往不能够真实的反映出人体的温度。而由于一些场景的限制，如车站、商场以及写字楼的出入口，不能够对每个人采用足够长的时间进行测试，也就无法保证体温测试结果的准确性。
发明内容
本申请提供一种温度检测方法、装置、介质及电子设备，可以通过进行温度趋势检测，从而推算出热平衡温度值，根据热平衡温度值与报警温度阈值之间的关系，确定人体温度检测结果，以达到提高人体温度检测准确性的目的。
提供了一种温度检测方法，该方法包括：
获取被检测人员的实时温度，根据所述实时温度确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并根据所述实时温度获取实时温度变化速度；
根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；
根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定 被检测人员的温度检测结果。
还提供了一种温度检测装置，该装置包括：
实时温度变化速度获取模块，设置为获取被检测人员的实时温度，根据所述实时温度确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并根据所述实时温度获取实时温度变化速度；
限值确定模块，设置为根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
温差值确定模块，设置为根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；
热平衡温度范围确定模块，设置为根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
检测结果确定模块，设置为根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。
还提供了一种计算机可读存储介质，存储有计算机程序，该计算机程序被处理器执行时实现如本申请实施例所述的温度检测方法。
还提供了一种电子设备，包括存储器，处理器及存储在存储器上并可在处理器运行的计算机程序，所述处理器执行所述计算机程序时实现如本申请实施例所述的温度检测方法。
附图说明
图1是本申请实施例提供的温度检测方法的流程图；
图2是本申请实施例提供的温度趋势检测窗口的示意图；
图3是本申请实施例提供的温度趋势检测窗口的示意图；
图4是本申请实施例提供的温度检测装置的结构示意图；
图5是本申请实施例提供的一种电子设备的结构示意图。
具体实施方式
下面结合附图和实施例对本申请进行说明。此处所描述的实施例仅仅用于 解释本申请，而非对本申请的限定。为了便于描述，附图中仅示出了与本申请相关的部分而非全部结构。
一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将多个步骤描述成顺序的处理，但是其中的许多步骤可以被并行地、并发地或者同时实施。此外，多个步骤的顺序可以被重新安排。当其操作完成时所述处理可以被终止，但是还可以具有未包括在附图中的附加步骤。所述处理可以对应于方法、函数、规程、子例程、子程序等等。
人体的体表温度和体温之间存在一个对应关系，基于这个对应关系可以通过测量体表温度来计算对应的人体温度。市场上销售的额温枪、耳温枪都是基于这个原理工作的。
人体的体表温度会随着环境温度、空气湿度、环境风力、人体体表衣物覆盖状况以及人体运动状态等因素的变化而变化，因此在上述因素发生变化时，会存在测温不准的现象。
比如人员在从高温的室内走到相对低温的大门口测温时，人体的体表温度会相对较高，人体从低温的室外走到室内测温时，人体的体表温度会相对较低。此时人体的体表温度处于非热平衡状态，这时对体表测温，会得到相对不准的温度值。
人体的体表温度，受体内产热和体表散热的影响。人体产热的方式有基础代谢产热、运动产热、人体血管收缩和舒张的产热、以及人体战栗产热等，人体的散热方式有传导散热、对流散热、辐射散热和蒸发散热等。当影响上述产热和散热的因素出现时，都会导致人体体表温度的变化。当人体体内产热大于体表散热时，人体体表温度就会上升。当人体体内产热小于体表散热时，人体体表温度就会下降。当人体体内产热等于体表散热时，人体体表温度就会保持一个相对恒定的值，此时，体表温度才能相对准确的表征人体温度。
为了更好的测量人体温度，需要根据体表温度变化的趋势，实现不同的测温策略，来保证测量结果的准确性。
在实际测温应用中，测温速度也是一个重要的指标，这会影响实际使用的感受，比如在上下班高峰期间的测温打卡时，较慢的测温速度会导致排队过长，一方面会影响上下班速度，一方面会导致人员大量聚集，增加交叉感染的风险。
因此需要综合体温变化趋势和测温速度，得到一个两方面都能很好兼顾的测温方案。本方案中，体温检测都是通过检测体表温度来预测人体体温，下面流程描述的都是体表温度。
图1是本申请实施例提供的温度检测方法的流程图，本实施例可适用于体 温检测的情况，该方法可以由本申请实施例所提供的温度检测装置执行，该装置可以由软件和/或硬件的方式来实现，并可集成于具有相应运算能力的电子设备中。
如图1所示，所述温度检测方法包括：
S110、获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并获取实时温度变化速度。
被检测人员可以是工作人员，学生以及旅行人员等。可以通过体温枪等，获取被检测人员的实时温度。被检测人员的实时温度可以是一个温度值，还可以是多个温度值，例如，控制体温枪按照预设频率进行体温的采集，就可以获得多个体温值，例如每0.2秒采集一次，则在两秒钟的采集时间中，可以获得10个实时温度的值。
在采集到多个实时温度的温度值之后，可以根据多个实时温度的温度值的变化规律，确定被检测人员的温度变化趋势。温度变化趋势可以包括上升趋势、下降趋势和持平趋势。如果被检测人员体温处于持平的趋势，则说明测量得到的实时温度与被检测人员的实际热平衡温度一致，则可以直接进行判断。
实时温度变化速度，可以是根据多个温度值之间的斜率来确定的，例如可以是根据相邻两个温度值之间的斜率的平均值确定。如温度值1与温度值2构成的斜率，温度值2与温度值3构成的斜率，以此类推，然后将所有得到的斜率取平均值，即可以得到实时温度变化速度。
在本方案中，由于是对采集到的多个温度值进行分析，确定温度变化规律，所以也可能存在一种多个温度值不稳定的情况，如上升趋势和下降趋势交替出现。在这种情况下，可以进行提示，告知工作人员对被检测人员的温度进行重新检测，或者，检查设备连接和工作状况，排除设备带来的误差，和采集过程中人为操作实物造成的误差。
在本实施例中，可选的，获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，包括：
按照预设周期对被检测人员的实时温度进行采样；
通过预先设置的温度趋势检测窗口确定被检测人员的实时温度采样点的平均斜率；
若平均斜率大于0，则确定温度变化趋势为上升趋势；若平均斜率小于0，则确定温度变化趋势为下降趋势。
预设周期可以是0.2秒、0.5秒、或者更长或更短的时间。采样之后，可以 将温度采样点显示于温度趋势检测窗口中。其中，温度趋势检测窗口可以设置于体温枪上面，还可以设置于与体温枪进行通信连接的智能终端上，如智能移动终端、电脑以及平板电脑等。
图2和图3是本申请实施例提供的温度趋势检测窗口的示意图。如图2和图3所示，如果随着时间的推移，温度在逐渐增加，则平均斜率大于0，说明被检测人员的体表温度的温度变化趋势为上升趋势，平均斜率小于0，则为下降趋势。
在上述技术方案的基础上，可选的，所述方法还包括：
若温度变化趋势为上升趋势，则计算温度趋势检测窗口内的温度增加速度为实时温度变化速度；
若温度变化趋势为下降趋势，则计算温度趋势检测窗口内的温度降低速度为实时温度变化速度。
在上升趋势和下降趋势中，可以通过计算温度趋势检测窗口中的温度增加速度或者温度降低速度，作为实时温度变化速度。
例如，如果温度处于上升趋势，则计算温度趋势检测窗口内的平均温度增加速度SpeedTempInc。
如果温度处于下降趋势，则计算温度趋势检测窗口内的平均温度降低速度SpeedTempDec。
S120、根据所述实时温度变化速度，确定速度变化上限和速度变化下限。
可以根据实时温度变化速度与预先设置的经验系数，来确定速度变化上限和速度变化下限。
可选的，所述实时温度变化速度包括温度增加速度和温度降低速度。
所述根据所述实时温度变化速度，确定速度变化上限和速度变化下限，包括：
根据所述温度增加速度与预先设置的上限系数的乘积，确定所述速度变化上限；以及，根据所述温度降低速度与预先设置的下限系数的乘积，确定所述速度变化下限。
在本实施例中，可选的，根据所述实时温度变化速度，确定速度变化上限和速度变化下限，包括：
根据所述实时温度变化速度与预先设置的上限系数的乘积，确定速度变化上限；以及，根据所述实时温度变化速度与预先设置的下限系数的乘积，确定速度变化下限。
可以取温度变化速度SpeedTempInc或SpeedTempDec的绝对值SpeedTemp，计算得到温度变化速度下限SpeedTempLow和温度变化速度上限SpeedTempHig：
SpeedTempLow＝SpeedTemp*KLow；
SpeedTempHig＝SpeedTemp*KHig；
KLow为小于1的经验系数，KHig为大于1的经验系数。
通过经验系数来对温度变化速度进行控制，可以实现通过范围值计算热平衡温度，可以确保最终解析出的热平衡温度更加准确的效果。
S130、根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值。
温差值可以是热平衡温度与实时温度的差值。可以根据速度变化上限和速度变化下限，确定速度变化上限对应的温差值和速度变化下限对应的温差值。
本技术方案中，可以利用温差值越大，速度变化越快的特点，构建速度变化的大小与温差值的映射关系的表格。可以根据得到的速度变化上限和速度变化下限，从该表格中查找来确定各自对应的温差值。
可以分别用温度速度下限SpeedTempLow和温度速度上限SpeedTempHig采用线性插值方法查表得到当前速度下的温差值TempDiffCurLow和TempDiffCurHigh。
S140、根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值。
本方案中，可以根据温度变化趋势，和当前测得的实时温度，与前面确定的速度变化上限对应的温差值和速度变化下限对应的温差值，来确定热平衡温度。
可选的，所述根据所述实时温度与所述速度变化上限对应的温差值和所述速度变化下限对应的温差值，以及根据所述温度变化趋势，确定热平衡温度上限值和热平衡温度下限值，包括：
当所述温度变化趋势为所述上升趋势时，
所述热平衡温度上限值为所述实时温度与所述速度变化上限对应的温差值的和；
所述热平衡温度下限值为所述实时温度与所述速度变化下限对应的温差值的和；
当所述温度变化趋势为所述下降趋势时，
所述热平衡温度上限值为所述实时温度与所述速度变化下限对应的温差值的差；
所述热平衡温度下限值为所述实时温度与所述速度变化上限对应的温差值的差。
根据TempDiffCurLow、TempDiffCurHigh、和当前温度TempCur，计算得到热平衡下的温度值TempHeatBalanceLow和TempHeatBalanceHig。
如果温度处于上升趋势，则
TempHeatBalanceLow＝TempCur+TempDiffCurLow；
TempHeatBalanceHig＝TempCur+TempDiffCurHig；
如果温度处于下降趋势，则
TempHeatBalanceLow＝TempCur-TempDiffCurHig；
TempHeatBalanceHig＝TempCur-TempDiffCurLow；
通过上述运算，则可以针对不同的温度变化趋势，分别求出热平衡温度上限值和热平衡温度下限值。
S150、根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。
由于人体发烧报警的体温阈值一般是37.3度，但是对应的体表温度在不同环境温度下是不一样的，因此需要建立一个环境温度到报警体表温度的映射关系表。
环境温度到报警体表温度的映射关系表可以通过实验方式建立。
根据当前环境温度TempEnv通过线性插值的方式查表得到当前环境温度下的报警温度阈值ThrTempAlm。例如环境温度为20度，报警体表温度阈值可以是低于37.3度的，如37度。
此处可以分为两种情况，即上升趋势和下降趋势。
因为本方案的目标是对于热平衡温度超过报警温度阈值的人员的检测，即对存在高烧现象的人员的检测。因此，在上升趋势，可以判断速度变化下限对应的热平衡温度下限值，如果超过报警温度阈值，则确定被检测人员处于高烧的状态。在下降阶段，可以判断速度变化上限对应的热平衡温度下限值，如果热平衡温度下限值超过报警温度阈值，则确定被检测人员处于高烧的状态。
在本方案中，根据热平衡温度上限值和热平衡温度下限值与报警温度阈值 的关系，确定被检测人员的温度检测结果，包括：
当所述温度变化趋势为上升趋势时，
若报警温度阈值小于热平衡温度下限值时，则确定温度检测结果为高温异常；
若报警温度阈值大于热平衡温度上限值时，则确定温度检测结果为体温正常；
当所述温度变化趋势为下降趋势时，
若报警温度阈值小于热平衡温度下限值时，则确定温度检测结果为高温异常；
若报警温度阈值大于热平衡温度上限值时，则确定温度检测结果为体温正常。
通过这样的设置，可以根据报警温度阈值与热平衡温度限值之间的大小关系，来确定被检测人员是否处于高烧发热状态。
本申请实施例所提供的技术方案，获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并获取实时温度变化速度；根据所述实时温度变化速度，确定速度变化上限和速度变化下限；根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。通过采用本申请所提供的技术方案，可以通过进行温度趋势检测，从而推算出热平衡温度值，根据热平衡温度值与报警温度阈值之间的关系，确定人体温度检测结果，以达到提高人体温度检测准确性的目的。
在上述技术方案的基础上，可选的，在根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果之前，所述方法还包括：
根据所述速度变化上限和速度变化下限，分别确定平衡时间上限值和平衡时间下限值；
平衡时间上限值和平衡时间下限值是速度变化的大小与温差值的映射关系的表格中参数，即，温度达到平衡时的时间值，根据温度达到平衡时的时间值通过判断从而保证测温速度。
其中，速度变化的大小与温差值的映射关系表，表项可以如下：
表项1：温差1，温度变化速度1，温度达到平衡时间1；
表项2：温差2，温度变化速度2，温度达到平衡时间2；
……
表项N：温差N，温度变化速度N，温度达到平衡时间N。
分别用温度速度下限SpeedTempLow和温度速度上限SpeedTempHig采用线性插值方法查表得到当前速度下的温差值TempDiffCurLow、TempDiffCurHigh和平衡时间值TimeHeatBalanceLow、TimeHeatBalanceHig。
根据TempDiffCurLow、TempDiffCurHigh、当前温度TempCur，计算得到热平衡下的温度值TempHeatBalanceLow和TempHeatBalanceHig。
如果温度处于上升趋势，则
TempHeatBalanceLow(热平衡下的温度值)＝TempCur+TempDiffCurLow(当前速度下的温差值)；
TempHeatBalanceHig(热平衡下的温度值)＝TempCur+TempDiffCurHig(当前速度下的温差值)；
如果温度处于下降趋势，则
TempHeatBalanceLow＝TempCur-TempDiffCurHig；
TempHeatBalanceHig＝TempCur-TempDiffCurLow；
相应的，根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果，包括：
当所述温度变化趋势为上升趋势时，
若报警温度阈值大于热平衡温度下限值且小于热平衡温度上限值，则确定由所述实时温度上升至报警温度阈值的平衡时间与可接受测量时间阈值的关系；
若由所述实时温度上升至报警温度阈值的平衡时间小于或者等于可接受测量时间阈值，则持续测温；
若由所述实时温度上升至报警温度阈值的平衡时间大于可接受测量时间阈值，则发出温度不稳定的提示信息；
当所述温度变化趋势为下降趋势时，
若报警温度阈值大于热平衡温度下限值且小于热平衡温度上限值，则确定 由所述实时温度下降至报警温度阈值的平衡时间与可接受测量时间阈值的关系；
若由所述实时温度下降至报警温度阈值的时间小于或者等于可接受测量时间阈值，则持续测温；
若由所述实时温度下降至报警温度阈值的时间大于可接受测量时间阈值，则发出温度不稳定的提示信息。
可接受测量时间阈值可以是根据检测环境确定的，例如在火车站，由于乘客非常多，往往可以设置的短一些，例如10秒。如果在办公室，由于工作人员的进出情况较少，则可以设置的长一些，例如25秒。
又由于前面已经确定了上升状态和下降状态分别对应的平衡时间，则可以根据该平衡时间与测量时间阈值进行比较，确定是否等待平衡时间的时长再对该被检测人员进行体温检测。
如果为上升趋势时，并且报警温度阈值大于热平衡温度下限值且小于热平衡温度上限值，则确定由所述实时温度上升至报警温度阈值的平衡时间与可接受测量时间阈值的关系；
若由所述实时温度上升至报警温度阈值的平衡时间小于或者等于可接受测量时间阈值，则持续测温；
若由所述实时温度上升至报警温度阈值的平衡时间大于可接受测量时间阈值，则发出温度不稳定的提示信息；
通过这样的设置，可以针对不同情况的被检测人员进行不同的处理，以便提高体温检测的准确性和方案的可行性，充分的考虑到体温检测的时间效率，可以更好的为多种环境的体温检测进行部署。
体温处于上升趋势时：
如果温度已经大于温度报警阈值ThrTempAlm，则提示高温告警；
如果温度低于温度报警阈值ThrTempAlm，且判断：
如果报警温度阈值ThrTempAlm小于TempHeatBalanceLow，则直接输出高温报警；
如果报警温度阈值ThrTempAlm大于TempHeatBalanceHig，则直接输出正常测温结果；
如果报警温度阈值ThrTempAlm介于TempHeatBalanceLow和TempHeatBalanceHig之间，根据TempHeatBalanceHig时的温度达到平衡时间TimeHeatBalanceHig，按照匀减速公式计算到达报警温度阈值ThrTempAlm时的 最大时间TimeAlarmHeatBalanceMax，判断：
如果TimeAlarmHeatBalanceMax小于或等于可接受测量时间阈值ThrTimeWait，则，保持持续测温状态；
如果TimeAlarmHeatBalanceMax大于可接受测量时间阈值ThrTimeWait，则提示温度不稳定，稍后测量。
体温处于下降趋势时：
如果温度已经低于温度报警阈值ThrTempAlm，则直接输出正常测温结果；
如果温度大于温度报警阈值ThrTempAlm，且判断：
如果报警温度阈值ThrTempAlm小于TempHeatBalanceLow，则直接输出高温报警；
如果报警温度阈值ThrTempAlm大于TempHeatBalanceHig，则直接输出正常测温结果；
如果报警温度阈值ThrTempAlm介于TempHeatBalanceLow和TempHeatBalanceHig之间，根据TempHeatBalanceLow时的温度达到平衡时间TimeHeatBalanceLow，通过匀减速公式计算到达报警温度阈值ThrTempAlm时的时间TimeAlarmHeatBalanceMax，判断：
如果TimeAlarmHeatBalanceMax小于或等于可接受测量时间阈值ThrTimeWait，则保持持续测温状态；
如果TimeAlarmHeatBalanceMax大于可接受测量时间阈值ThrTimeWait，则提示温度不稳定，稍后测量。
图4是本申请实施例提供的温度检测装置的结构示意图。如图4所示，所述温度检测装置包括：
实时温度变化速度获取模块410，设置为获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并获取实时温度变化速度；
限值确定模块420，设置为根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
温差值确定模块430，设置为根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；
热平衡温度范围确定模块440，设置为根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平 衡温度上限值和热平衡温度下限值；
检测结果确定模块450，设置为根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。
上述产品可执行本申请实施例所提供的方法，具备执行方法相应的功能模块和效果。
本申请实施例还提供一种包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种温度检测方法，该方法包括：
获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并获取实时温度变化速度；
根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；
根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。
存储介质为多种类型的存储器设备或存储设备。“存储介质”包括：安装介质，例如便携式紧凑磁盘只读存储器(Compact Disc Read Only Memory，CD-ROM)、软盘或磁带装置；计算机系统存储器或随机存取存储器，诸如动态随机存取存储器(Dynamic Random Access Memory，DRAM)、双倍速率随机存取存储器(Double Data Rate Random Access Memory，DDR RAM)、静态随机存取存储器(Static Random-Access Memory，SRAM)、扩展数据输出随机存取存储器(Extended Data Output Random Access Memory，EDO RAM)，兰巴斯(Rambus)RAM等；非易失性存储器，诸如闪存、磁介质(例如硬盘或光存储)；寄存器或其它相似类型的存储器元件等。存储介质可以还包括其它类型的存储器或其组合。另外，存储介质可以位于程序在其中被执行的计算机系统中，或者可以位于不同的第二计算机系统中，第二计算机系统通过网络(诸如因特网)连接到计算机系统。第二计算机系统可以提供程序指令给计算机用于执行。术语“存储介质”可以包括可以驻留在不同位置中(例如在通过网络连接的不同计算机系统中)的两个或更多存储介质。存储介质可以存储可由一个或多个处理器执行的程序指令(例如实现为计算机程序)。
本申请实施例所提供的一种包含计算机可执行指令的存储介质，其计算机可执行指令不限于如上所述的温度检测操作，还可以执行本申请任意实施例所 提供的温度检测方法中的相关操作。
本申请实施例提供了一种电子设备，该电子设备中可集成本申请实施例提供的温度检测装置。图5是本申请实施例提供的一种电子设备的结构示意图。如图5所示，本实施例提供了一种电子设备500，包括：一个或多个处理器520；存储装置510，用于存储一个或多个程序，当所述一个或多个程序被所述一个或多个处理器520执行，使得所述一个或多个处理器520实现本申请实施例所提供的温度检测方法，该方法包括：
获取被检测人员的实时温度；并确定被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并获取实时温度变化速度；
根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
根据所述速度变化上限和速度变化下限，分别确定速度变化上限对应的温差值和速度变化下限对应的温差值；
根据所述实时温度与速度变化上限对应的温差值和速度变化下限对应的温差值，以及根据温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
根据热平衡温度上限值和热平衡温度下限值与报警温度阈值的关系，确定被检测人员的温度检测结果。
处理器520还实现本申请任意实施例所提供的温度检测方法的技术方案。
图5显示的电子设备500仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图5所示，该电子设备500包括处理器520、存储装置510、输入装置530和输出装置540；电子设备中处理器520的数量可以是一个或多个，图5中以一个处理器520为例；电子设备中的处理器520、存储装置510、输入装置530和输出装置540可以通过总线或其他方式连接，图5中以通过总线550连接为例。
存储装置510作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序以及模块单元，如本申请实施例中的温度检测方法对应的程序指令。
存储装置510可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端的使用所创建的数据等。此外，存储装置510可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中，存储装置510可包括相对于处理器520远程设置的存储器，这些远程存储器可以通过网络连接。上述网络的实例包括 但不限于互联网、企业内部网、局域网、移动通信网及其组合。
输入装置530可用于接收输入的数字、字符信息或语音信息，以及产生与设备的用户设置以及功能控制有关的键信号输入。输出装置540可包括显示屏、扬声器等设备。
本申请实施例提供的电子设备，可以通过进行温度趋势检测，从而推算出热平衡温度值，根据热平衡温度值与报警温度阈值之间的关系，确定人体温度检测结果，以达到提高人体温度检测准确性的目的。
上述实施例中提供的温度检测装置、介质及电子设备可执行本申请任意实施例所提供的温度检测方法，具备执行该方法相应的功能模块和效果。未在上述实施例中详尽描述的技术细节，可参见本申请任意实施例所提供的温度检测方法。

Claims (10)

  1. 一种温度检测方法，包括：
    获取被检测人员的实时温度，根据所述实时温度确定所述被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并根据所述实时温度获取实时温度变化速度；
    根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
    根据所述速度变化上限和所述速度变化下限，分别确定所述速度变化上限对应的温差值和所述速度变化下限对应的温差值；
    根据所述实时温度与所述速度变化上限对应的温差值和所述速度变化下限对应的温差值，以及根据所述温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
    根据所述热平衡温度上限值和所述热平衡温度下限值与报警温度阈值的关系，确定所述被检测人员的温度检测结果。
  2. 根据权利要求1所述的方法，其中，所述根据所述热平衡温度上限值和所述热平衡温度下限值与报警温度阈值的关系，确定所述被检测人员的温度检测结果，包括：
    在所述温度变化趋势为所述上升趋势的情况下，
    在所述报警温度阈值小于所述热平衡温度下限值的情况下，确定所述温度检测结果为高温异常；
    在所述报警温度阈值大于所述热平衡温度上限值的情况下，确定所述温度检测结果为体温正常；
    在所述温度变化趋势为所述下降趋势的情况下，
    在所述报警温度阈值小于所述热平衡温度下限值的情况下，确定所述温度检测结果为高温异常；
    在所述报警温度阈值大于所述热平衡温度上限值的情况下，确定所述温度检测结果为体温正常。
  3. 根据权利要求1所述的方法，其中，在所述根据所述热平衡温度上限值和所述热平衡温度下限值与报警温度阈值的关系，确定所述被检测人员的温度检测结果之前，所述方法还包括：
    根据所述速度变化上限和所述速度变化下限，分别确定平衡时间上限值和平衡时间下限值；
    所述根据所述热平衡温度上限值和所述热平衡温度下限值与报警温度阈值 的关系，确定所述被检测人员的温度检测结果，包括：
    在所述温度变化趋势为所述上升趋势的情况下，
    在所述报警温度阈值大于所述热平衡温度下限值且小于所述热平衡温度上限值的情况下，确定由所述实时温度上升至所述报警温度阈值的平衡时间与可接受测量时间阈值的关系；
    在由所述实时温度上升至所述报警温度阈值的平衡时间小于或者等于所述可接受测量时间阈值的情况下，持续测温；
    在由所述实时温度上升至所述报警温度阈值的平衡时间大于所述可接受测量时间阈值的情况下，发出温度不稳定的提示信息；
    在所述温度变化趋势为所述下降趋势的情况下，
    在所述报警温度阈值大于所述热平衡温度下限值且小于所述热平衡温度上限值，确定由所述实时温度下降至所述报警温度阈值的平衡时间与所述可接受测量时间阈值的关系；
    在所述由所述实时温度下降至所述报警温度阈值的时间小于或者等于所述可接受测量时间阈值的情况下，持续测温；
    在所述由所述实时温度下降至所述报警温度阈值的时间大于所述可接受测量时间阈值的情况下，发出温度不稳定的提示信息。
  4. 根据权利要求1所述的方法，其中，所述根据所述实时温度与所述速度变化上限对应的温差值和所述速度变化下限对应的温差值，以及根据所述温度变化趋势，确定热平衡温度上限值和热平衡温度下限值，包括：
    在所述温度变化趋势为所述上升趋势的情况下，
    所述热平衡温度上限值为所述实时温度与所述速度变化上限对应的温差值的和；
    所述热平衡温度下限值为所述实时温度与所述速度变化下限对应的温差值的和；
    在所述温度变化趋势为所述下降趋势的情况下，
    所述热平衡温度上限值为所述实时温度与所述速度变化下限对应的温差值的差；
    所述热平衡温度下限值为所述实时温度与所述速度变化上限对应的温差值的差。
  5. 根据权利要求1所述的方法，其中，所述实时温度变化速度包括温度增 加速度和温度降低速度；
    所述根据所述实时温度变化速度，确定速度变化上限和速度变化下限，包括：
    根据所述温度增加速度与预先设置的上限系数的乘积，确定所述速度变化上限；以及，根据所述温度降低速度与预先设置的下限系数的乘积，确定所述速度变化下限。
  6. 根据权利要求1所述的方法，其中，所述获取被检测人员的实时温度，根据所述实时温度确定所述被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，包括：
    按照预设周期对所述被检测人员的实时温度进行采样；
    通过预先设置的温度趋势检测窗口确定所述被检测人员的实时温度采样点的平均斜率；
    在所述平均斜率大于0的情况下，确定所述温度变化趋势为所述上升趋势；在所述平均斜率小于0的情况下，确定所述温度变化趋势为所述下降趋势。
  7. 根据权利要求6所述的方法，还包括：
    在所述温度变化趋势为所述上升趋势的情况下，计算所述温度趋势检测窗口内的温度增加速度为所述实时温度变化速度；
    在所述温度变化趋势为所述下降趋势的情况下，计算所述温度趋势检测窗口内的温度降低速度为所述实时温度变化速度。
  8. 一种温度检测装置，包括：
    实时温度变化速度获取模块，设置为获取被检测人员的实时温度，根据所述实时温度确定所述被检测人员处于的温度变化趋势为上升趋势或者为下降趋势，并根据所述实时温度获取实时温度变化速度；
    限值确定模块，设置为根据所述实时温度变化速度，确定速度变化上限和速度变化下限；
    温差值确定模块，设置为根据所述速度变化上限和所述速度变化下限，分别确定所述速度变化上限对应的温差值和所述速度变化下限对应的温差值；
    热平衡温度范围确定模块，设置为根据所述实时温度与所述速度变化上限对应的温差值和所述速度变化下限对应的温差值，以及根据所述温度变化趋势，确定热平衡温度上限值和热平衡温度下限值；
    检测结果确定模块，设置为根据所述热平衡温度上限值和所述热平衡温度 下限值与报警温度阈值的关系，确定所述被检测人员的温度检测结果。
  9. 一种计算机可读存储介质，存储有计算机程序，所述计算机程序被处理器执行时实现如权利要求1-7中任一项所述的温度检测方法。
  10. 一种电子设备，包括存储器，处理器及存储在所述存储器上并可在所述处理器运行的计算机程序，所述处理器执行所述计算机程序时实现如权利要求1-7中任一项所述的温度检测方法。
PCT/CN2020/139177 2020-07-06 2020-12-24 温度检测方法、装置、介质及电子设备 WO2022007348A1 (zh)

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