CN116007777A - Electronic thermometer and body temperature measuring method - Google Patents

Abstract

The invention discloses an electronic thermometer and a body temperature measuring method, wherein the electronic thermometer comprises: the thermistor sensor is used for acquiring first body temperature data; the infrared temperature measurement sensor is used for acquiring second body temperature data; and the microprocessor is used for storing the first body temperature data and the second body temperature data according to the time corresponding relation and calculating a final temperature value according to the stored first body temperature data and the second body temperature data. According to the invention, the final temperature value is calculated by combining the body temperature data acquired by the thermistor sensor and the infrared temperature measuring sensor, so that a quick and accurate measuring effect is realized. The invention can be widely applied to the field of medical appliances.

Description

Electronic thermometer and body temperature measuring method

Technical Field

The invention relates to the field of medical instruments, in particular to an electronic thermometer and a body temperature measuring method.

Background

Human body temperature measurements fall into two categories depending on the form of the temperature probe: one type is a direct contact type, which uses a thermal balance method to obtain the body temperature, such as a thermistor sensor, etc., and this method is a standard method for measuring the body temperature at present, and has the disadvantage that a certain time is required for reaching the thermal balance, so that the measuring time is long. The other type is non-contact type, the body temperature is obtained by utilizing the heat radiation of the human body, such as an infrared sensor and the like, and the method has the characteristics of short measurement time and larger measurement error.

In order to be compatible with the two effects, the thermistor sensor and the infrared sensor are integrated in the electronic thermometer, different measuring modes are selected through the switch, for example, the thermistor sensor is adopted for measuring in order to accurately measure the body temperature value, and the infrared sensor is adopted for measuring in order to rapidly measure the body temperature value, but the scheme still cannot realize rapid and accurate body temperature measurement.

Disclosure of Invention

In order to solve at least one of the technical problems existing in the prior art to a certain extent, the invention aims to provide an electronic thermometer and a body temperature measuring method.

The technical scheme adopted by the invention is as follows:

an electronic thermometer, comprising:

the thermistor sensor is used for acquiring first body temperature data;

the infrared temperature measurement sensor is used for acquiring second body temperature data;

and the microprocessor is used for storing the first body temperature data and the second body temperature data according to the time corresponding relation and calculating a final temperature value according to the stored first body temperature data and the second body temperature data.

Further, the microprocessor calculates the final temperature value specifically by:

storing the first body temperature data and the second body temperature data according to a time stamp;

calculating a difference between a first temperature value measured by the thermistor sensor and a second temperature value measured by the infrared temperature measurement sensor at each time point;

according to at least one group of first body temperature values with the minimum difference value and the second body temperature values corresponding to the time of the first body temperature values, the first body temperature values and the second body temperature values are taken as characteristic points;

and calculating the final temperature value according to the obtained characteristic points.

Further, the microprocessor is further configured to detect whether the first temperature value is normal, specifically:

and calculating a heat transfer coefficient according to the first temperature value, calculating a differential value of the heat transfer coefficient at an adjacent time point, and judging that the first temperature value is abnormal if the differential value is larger than a preset value.

Further, the microprocessor is further configured to correct the abnormal data, specifically:

after judging that the first temperature value is abnormal, acquiring the second temperature value corresponding to the first temperature value time;

calculating the heat transfer coefficient according to the second temperature value, calculating a new temperature value according to the heat transfer coefficient, and updating the first temperature value with the new temperature value;

and calculating a difference value between the updated first temperature value and the second temperature value corresponding to time, and judging whether the updated first temperature value is used for calculating the final temperature value according to whether the difference value is larger than a preset difference value.

Further, the device comprises a shell and a circuit board arranged in the shell, wherein the shell comprises a main body part and a detection part;

the detection part comprises a temperature measuring cap and a temperature measuring window, the thermistor sensor is arranged in the temperature measuring cap, and the position of the infrared temperature measuring sensor is matched with the position of the temperature measuring window.

The invention adopts another technical scheme that:

a method of measuring body temperature comprising the steps of:

acquiring first body temperature data through a thermistor sensor;

acquiring second body temperature data through an infrared temperature sensor;

and storing the first body temperature data and the second body temperature data according to a time corresponding relation, and calculating a final temperature value according to the stored first body temperature data and the second body temperature data.

Further, the storing the first body temperature data and the second body temperature data according to the time correspondence relationship, and calculating a final temperature value according to the stored first body temperature data and the second body temperature data, includes:

storing the first body temperature data and the second body temperature data according to a time stamp;

calculating a difference between a first temperature value measured by the thermistor sensor and a second temperature value measured by the infrared temperature measurement sensor at each time point; the method comprises the steps of carrying out a first treatment on the surface of the

According to at least one group of first body temperature values with the minimum difference value and the second body temperature values corresponding to the time of the first body temperature values, the first body temperature values and the second body temperature values are taken as characteristic points;

and calculating the final temperature value according to the obtained characteristic points.

Further, the calculating the final temperature value according to the obtained feature points includes:

the temperature value corresponding to each feature point is calculated using the following formula:

T _i ＝D+B*Tb _{_ntci} +C*Tb _i

in Tb _{_ntci} Indicating the temperature value measured by the thermistor sensor, tb _i Representing a temperature value measured by an infrared temperature sensor; D. b, C are all preset coefficients;

and averaging the temperature values corresponding to the characteristic points to obtain the final temperature value.

Further, the calculating a final temperature value from the stored first and second body temperature data includes:

and calculating a heat transfer coefficient according to the first temperature value, calculating a differential value of the heat transfer coefficient at an adjacent time point, and judging that the first temperature value is abnormal if the differential value is larger than a preset value.

Further, the method further comprises the step of correcting the abnormal data:

after judging that the first temperature value is abnormal, acquiring the second temperature value corresponding to the first temperature value time;

calculating the heat transfer coefficient according to the second temperature value, calculating a new temperature value according to the heat transfer coefficient, and updating the first temperature value with the new temperature value;

and calculating a difference value between the updated first temperature value and the second temperature value corresponding to time, and judging whether the updated first temperature value is used for calculating the final temperature value according to whether the difference value is larger than a preset difference value.

The beneficial effects of the invention are as follows: according to the invention, the final temperature value is calculated by combining the body temperature data acquired by the thermistor sensor and the infrared temperature measuring sensor, so that a quick and accurate measuring effect is realized.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description is made with reference to the accompanying drawings of the embodiments of the present invention or the related technical solutions in the prior art, and it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments in the technical solutions of the present invention, and other drawings may be obtained according to these drawings without the need of inventive labor for those skilled in the art.

FIG. 1 is a schematic view of the whole structure of an electronic thermometer according to an embodiment of the present invention;

FIG. 2 is a schematic view showing a partial structure of a detecting section in the embodiment of the present invention;

fig. 3 is a flowchart illustrating steps of a method for measuring body temperature according to an embodiment of the present invention;

FIG. 4 is a graph of a fit for rapid temperature measurement using a thermistor sensor in an embodiment of the present invention;

fig. 5 is a schematic flow chart of a method for measuring body temperature according to an embodiment of the present invention.

Reference numerals: 1-measuring temperature of a steel cap; 2-a temperature measurement window; 3-a control panel; 4-a display screen; 5-a switch button; 6-thermistor sensor; 7-sponge; 8-an infrared temperature measurement sensor; 9-an infrared PCB small plate; 10-a shell.

Detailed Description

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention. The step numbers in the following embodiments are set for convenience of illustration only, and the order between the steps is not limited in any way, and the execution order of the steps in the embodiments may be adaptively adjusted according to the understanding of those skilled in the art.

In the description of the present invention, it should be understood that references to orientation descriptions such as upper, lower, front, rear, left, right, etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of description of the present invention and to simplify the description, and do not indicate or imply that the apparatus or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.

In the description of the present invention, a number means one or more, a number means two or more, and greater than, less than, exceeding, etc. are understood to not include the present number, and above, below, within, etc. are understood to include the present number. The description of the first and second is for the purpose of distinguishing between technical features only and should not be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated or implicitly indicating the precedence of the technical features indicated.

In the description of the present invention, unless explicitly defined otherwise, terms such as arrangement, installation, connection, etc. should be construed broadly and the specific meaning of the terms in the present invention can be reasonably determined by a person skilled in the art in combination with the specific contents of the technical scheme.

The traditional human armpit electronic thermometer is characterized in that a multi-purpose thermistor (NTC) is used as a temperature measuring sensor, the contact type temperature measurement is adopted, and the actual measurement time is 6-10 minutes. Considering that the rising interval of the body temperature accords with the thermal change trend, the specific relation between the temperature measurement data and the measured value before the test time of 30 seconds can be established, so that the rapid temperature measurement before 30 seconds is realized. The body temperature precision of the rapid predicted value is lower than that of the measured value by an actual measurement method.

The existing prediction algorithm adopts a function model fitting method to predict. The algorithm design flow is as follows: and determining the change trend of the body temperature data and the measured value at the prediction time according to a known function model by adopting the body temperature data and the real body temperature data measured at the certain prediction time. The parameters of the function model are calculated based on body temperature data measured in a certain prediction time, and the prediction value is selected from the following: the output value of the function model at a particular point in time. But in actual use, the accuracy of the predictions is affected by a number of factors. For example, the first is: the axillary hairs of adults are set based on fixed heat transfer parameters due to the standard human body heat transfer model, but the axillary hairs of different people can cause differences in heat transfer parameters. The second is: in the measuring process, shaking can occur when the device is placed under the armpit, particularly the armpit temperature measurement of an infant (child under 36 months) is easier to occur, so that the body temperature data of the predicted value and the heat transfer model of the measured value are changed. The above 2 factors greatly affect the clinical measurement accuracy of the predictive algorithm.

In order to solve the difference of the influencing factors and improve the accuracy of a prediction method in clinical measurement, the temperature measuring assembly provided by the invention is provided with an infrared temperature measuring sensor and a thermistor sensor, and a final temperature value is comprehensively calculated according to body temperature data acquired by 2 temperature measuring assemblies. In addition, as a further preferable embodiment, the measured value of the abnormal jitter thermistor sensor is identified by designing a specific algorithm, and then, according to the fact that the infrared temperature measuring sensor is not affected by jitter, the comprehensive characteristic algorithm is designed, and the infrared measured value and the measured value of the thermistor sensor are taken as input quantities, and preferably, a body temperature value closest to a human body is output. From the original characteristic quantity: NTC predictive value, introducing characteristic quantity: the infrared temperature measurement value, two characteristic quantities are mutually constrained and corrected, and a predicted value is output through a specific judgment algorithm designed in the interior.

As shown in fig. 1 and 2, the present embodiment provides an electronic thermometer including a housing 10 and a circuit board provided in the housing 10, the housing 10 including a main body portion and a detecting portion, the circuit board including a thermistor sensor 6, an infrared temperature sensor 8, and a microprocessor.

Referring to fig. 2, the detecting section includes a temperature measuring cap and a temperature measuring window 2, a thermistor sensor 6 is provided in the temperature measuring cap, and the position of an infrared temperature measuring sensor 8 is matched with the position of the temperature measuring window 2.

The thermistor sensor 6 is used for acquiring first body temperature data;

an infrared temperature measurement sensor 8 for acquiring second body temperature data;

and the microprocessor is used for storing the first body temperature data and the second body temperature data according to the time corresponding relation and calculating a final temperature value according to the stored first body temperature data and second body temperature data.

Further as an optional implementation manner, the circuit board further comprises an analog amplifying module and an A/D conversion module, and the body temperature data acquired by the sensor are sequentially transmitted to the microprocessor through the analog amplifying module and the A/D conversion module.

Referring to fig. 2, as a further alternative embodiment, the thermometric cap is a thermometric steel cap 1, and the thermometric steel cap 1 is filled with a sponge 7. The thermistor sensor 6 is arranged at the middle position of the temperature measuring steel cap 1 and is propped against the sponge 7 so that the thermistor sensor 6 is fully contacted with the temperature measuring steel cap 1. The temperature measuring window 2 is arranged below the temperature measuring steel cap 1, and the temperature measuring window 2 is clung to the infrared temperature measuring sensor 8. An infrared PCB small plate 9 is further arranged in the detection part, and the infrared PCB small plate 9 is connected with an infrared temperature measurement sensor 8.

Referring to fig. 2, as a further alternative embodiment, a control panel 3 is provided on the housing 10, and a display 4 and a switch button 5 for displaying a temperature value are provided on the control panel 3.

Based on the above-mentioned electronic thermometer, as shown in fig. 3, this embodiment further provides a body temperature measurement method, including the following steps:

s1, acquiring first body temperature data through a thermistor sensor;

s2, acquiring second body temperature data through an infrared temperature sensor;

and S3, storing the first body temperature data and the second body temperature data according to the time corresponding relation, and calculating a final temperature value according to the stored first body temperature data and second body temperature data.

Wherein, step S3 specifically includes steps S31-S34:

s31, storing first body temperature data and second body temperature data according to the time stamp;

s32, calculating a difference value between a first temperature value measured by the thermistor sensor and a second temperature value measured by the infrared temperature measuring sensor at each time point;

s33, taking at least one group of first body temperature values with the minimum difference value and a second body temperature value corresponding to the time of the first body temperature values as characteristic points;

s34, calculating a final temperature value according to the obtained characteristic points.

As an alternative embodiment, the first temperature value and the second temperature value in the feature point may be averaged as the final temperature value.

As another alternative embodiment, weights may be assigned to the first temperature value and the second temperature value in the feature points to find the final temperature value. For example, the temperature value corresponding to each feature point is calculated using the following formula:

T _i ＝D+B*Tb _{_ntci} +C*Tb _i

and then averaging the temperature values corresponding to the characteristic points to obtain a final temperature value.

Further as an optional embodiment, step S3 further includes a step of detecting abnormal data. Therefore, in the measurement process, a situation that jitter is wanted may occur, so that the measured data is abnormal, and if the abnormal data is directly applied to the calculation of the temperature value, the measurement accuracy is seriously affected, based on this, the embodiment provides the detection of the data abnormality, specifically:

and calculating a heat transfer coefficient according to the first temperature value, calculating a difference value of the heat transfer coefficient at adjacent time points, and judging that the first temperature value is abnormal if the difference value is larger than a preset value.

When a contact abnormality such as a chatter occurs, the heat transfer coefficient is directly affected, and if a large variation occurs in the heat transfer coefficient at a moment, it is determined that the abnormality occurs.

For the above-described abnormal situation, the present embodiment further proposes a step of correcting the abnormal data:

a1, after judging that the first temperature value is abnormal, acquiring a second temperature value corresponding to the first temperature value time;

a2, calculating a heat transfer coefficient according to the second temperature value, calculating a new temperature value according to the heat transfer coefficient, and updating the first temperature value with the new temperature value;

a3, calculating a difference value between the updated first temperature value and the second temperature value corresponding to the time, and judging whether the updated first temperature value is used for calculating a final temperature value according to whether the difference value is larger than a preset difference value.

The foregoing aspects are explained in detail below with reference to the drawings and detailed description.

1) NTC fast (predictive) temperature measurement implementation

The temperature sensor adopts the following formula (1) to technology the human body temperature:

from the above conversion, we obtain:

T＝T ₁ -(T ₁ -T ₂ )e ^-At

wherein T is the current temperature measured by the temperature sensor, T ₁ T is the temperature of human body ₂ For the initial temperature of the sensor, a is the heat transfer coefficient and t is time. The least square method (also called least squares method) is adopted to find the best function match of the data by minimizing the sum of squares of errors. Fitting curve, and obtaining human body temperature T by using the formula ₁ . In particular, program implementations may employ iterative approximation methods. As can be seen from fig. 4, the larger the contact area between the human body and the sensor, the larger the heat transfer coefficient a, and conversely, the smaller the heat transfer coefficient a. Therefore, when the human body shakes, the contact area is affected, and the heat transfer coefficient A is directly affected.

2) Infrared temperature measurement implementation

The infrared temperature measurement reaction is quick, the infrared temperature measurement reaction does not need to be contacted with a human body, the temperature can be measured only by receiving infrared radiation of the human body, and the reaction time is generally in the millisecond level or even in the microsecond level. In addition, the temperature measurement sensitivity is high, and the radiation energy of the object is proportional to the fourth power of the temperature, so that the small change of the temperature of the object can cause larger change of the radiation energy, and the infrared sensor can rapidly detect the radiation energy.

According to the infrared temperature measurement principle (formula (2)), the temperature is converted into a practical application formula (3), and the temperature of the armpit of the human body can be measured.

Wherein, formula (2) is:

wherein E is the radiation emittance (W/m ² ) The method comprises the steps of carrying out a first treatment on the surface of the Sigma is the Stefan Boltzmann constant, 5.67×10 ^-8 W/(m ² K ⁴ ) The method comprises the steps of carrying out a first treatment on the surface of the Epsilon is the emissivity of the object; t is the temperature of the object (in K); t (T) ₀ Is the ambient temperature (in K) around the object.

The formula (3) is:

wherein E is energy (W/m) ² )；T ₀ Is the temperature of the environment (in K); k (K) _S To be a specific constant in a specific structure, the coefficient K _S Derived by standard blackbody calibration. T is the measured temperature of the human armpit skin, and the unit is K; wherein T is _g For the surface temperature value, the relationship of converting the surface temperature into the body temperature is obtained according to a large amount of clinical data, and the relationship is converted into the body temperature according to T _g And T ₀ Calculating to a body temperature value: t (T) _b 。

3) Preferred implementation mode of comprehensive characteristics of infrared temperature measurement sensor and thermistor sensor

Referring to fig. 5, by designAnd an abnormality recognition algorithm for recognizing whether the temperature acquired by the thermistor sensor is abnormal or not. Specifically, the temperature measurement data of the first N seconds of the thermistor sensor are selected, and for N temperature values, the heat transfer coefficient A for the N temperature values is calculated according to the formula (1) ₁ ，A ₂ ，…A _N Then calculating the difference value of two adjacent heat transfer coefficients A to obtain delta A ₁ ，△A ₂ ，…△A _N-1 . Based on the standard NTC temperature measurement data and the abnormal jitter NTC temperature measurement data, a threshold value DeltaA_q of DeltaA is designed, and a temperature value with a difference value larger than DeltaA_q is determined as the abnormal jitter data. Wherein, when specifically calculating the heat transfer coefficient, a human body temperature value, such as 37 ℃, can be set.

The infrared temperature sensor reads the temperature measurement data at a high speed of 0.25 seconds/time, so the data is not affected by jitter. When the NTC measurement data is abnormal, for example, jitter occurs, the infrared high-speed reading temperature measurement data is used for correcting the heat transfer coefficient A of the NTC so as to obtain an accurate NTC temperature measurement value. When the NTC measurement data has no jitter (i.e. no abnormality), the measurement value is obtained by using the comprehensive optimization algorithm of the NTC temperature measurement value and the infrared temperature measurement value, and the accurate body temperature predicted value is obtained.

If jitter is present, the heat transfer coefficient A is modified by: reading real-time data of NTC measurement, and respectively calculating t by using a formula (1) ₀ ,t ₁ ...t _n Heat transfer coefficient a of (2) ₀ ,A ₁ ...A _n . The temperature value calculated by the infrared temperature measurement formula (3) at the same time is Tb ₁ ,Tb ₂ ...Tb _n Determining a new heat transfer coefficient A according to the infrared temperature measurement value and the formula (1) _{new_1} ,A _{new_2} ...A _{new_n} Calculating a new NTC corresponding measured value Tb according to the new heat transfer coefficient _{_ntc1} ,Tb _{_ntc2} ...Tb _{_ntcn} Thereby, correction of abnormal data is realized.

Difference judgment algorithm: according to the correction step, real-time temperature measurement values of NTC and infrared can be obtained, and the difference value of the NTC and the real-time temperature measurement values of the infrared at each time point is calculated: diff (diff) ₁ ,diff ₂ ...diff _n And to diff ₁ ,diff ₂ ...diff _n Summing, obtaining sum_diff. Based on the data of the clinical standard library, the threshold is designed: sum_diff_r. If the sum_diff is larger than the sum_diff_R, the method enters a comprehensive feature optimization algorithm, otherwise, the NTC and the infrared temperature measurement value are continuously output, the sum_diff is calculated, and when the sum_diff_R is larger than the sum_diff_R, the method enters the next step.

Comprehensive feature optimization algorithm: according to the difference between NTC and infrared temperature measurement temperature values at each time point: diff (diff) ₁ ,diff ₂ ...diff _n Preferably, 1 or more (2 and more) points in which the difference is smallest are feature points.

Temperature values of technical feature points according to the following formula:

ti is the body temperature value of the ith feature point, tb_ntci is the body temperature value obtained by the ith NTC sensor, and Tbi is the body temperature value obtained by the ith infrared temperature measuring sensor. D, B, C coefficients are data in a standard database, and can be obtained according to least square fitting.

In the present embodiment, 5 feature points are used, respectively: t1=f (Tb _{_ntc1} ,Tb ₁ )、T2＝f(Tb _{_ntc2} ,Tb ₂ )、T3＝f(Tb _{_ntc3} ,Tb ₃ )、T4＝f(Tb _{_ntc4} ,Tb ₄ )、T5＝f(Tb _{_ntc5} ,Tb ₅ )。

And then, according to the temperature values of the 5 characteristic points, averaging to obtain a final temperature value:

T _final the final output body temperature value.

In the experimental test, the electronic thermometer can measure the body temperature value of a human body at the armpit, the oral cavity or the rectum for 4 seconds at the highest speed, and the measurement time is far lower than that of the traditional thermometer (6-10 minutes). In general, the invention utilizes the characteristic of infrared temperature measurement and NTC temperature measurement, and obtains more accurate predicted value by a series of algorithms according to 2 temperature measurement data when the underarm is predicted, thereby realizing rapid and accurate body temperature measurement. The maximum time of comprehensive measurement can reach 4s, so that the armpit, oral cavity or rectum is extremely convenient to measure the body temperature. Clinical accuracy is better than other electronic thermometers.

In the foregoing description of the present specification, reference has been made to the terms "one embodiment/example", "another embodiment/example", "certain embodiments/examples", and the like, means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

While the preferred embodiment of the present invention has been described in detail, the present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be made by those skilled in the art without departing from the spirit of the present invention, and these equivalent modifications and substitutions are intended to be included in the scope of the present invention as defined in the appended claims.

Claims (10)

1. An electronic thermometer, comprising:

the thermistor sensor is used for acquiring first body temperature data;

the infrared temperature measurement sensor is used for acquiring second body temperature data;

and the microprocessor is used for storing the first body temperature data and the second body temperature data according to the time corresponding relation and calculating a final temperature value according to the stored first body temperature data and the second body temperature data.

2. An electronic thermometer according to claim 1, wherein said microprocessor calculates the final temperature value by:

storing the first body temperature data and the second body temperature data according to a time stamp;

calculating a difference between a first temperature value measured by the thermistor sensor and a second temperature value measured by the infrared temperature measurement sensor at each time point;

according to at least one group of first body temperature values with the minimum difference value and the second body temperature values corresponding to the time of the first body temperature values, the first body temperature values and the second body temperature values are taken as characteristic points;

and calculating the final temperature value according to the obtained characteristic points.

3. The electronic thermometer of claim 2 wherein said microprocessor is further configured to detect whether said first temperature value is normal, in particular:

and calculating a heat transfer coefficient according to the first temperature value, calculating a differential value of the heat transfer coefficient at an adjacent time point, and judging that the first temperature value is abnormal if the differential value is larger than a preset value.

4. An electronic thermometer according to claim 3 wherein said microprocessor is further adapted to correct abnormal data, in particular:

after judging that the first temperature value is abnormal, acquiring the second temperature value corresponding to the first temperature value time; calculating the heat transfer coefficient according to the second temperature value, calculating a new temperature value according to the heat transfer coefficient, and updating the first temperature value with the new temperature value;

and calculating a difference value between the updated first temperature value and the second temperature value corresponding to time, and judging whether the updated first temperature value is used for calculating the final temperature value according to whether the difference value is larger than a preset difference value.

5. An electronic thermometer according to any one of claims 1 to 4 comprising a housing and a circuit board disposed within said housing, said housing comprising a main body portion and a detection portion;

the detection part comprises a temperature measuring cap and a temperature measuring window, the thermistor sensor is arranged in the temperature measuring cap, and the position of the infrared temperature measuring sensor is matched with the position of the temperature measuring window.

6. A method of measuring body temperature, comprising the steps of:

acquiring first body temperature data through a thermistor sensor;

acquiring second body temperature data through an infrared temperature sensor;

and storing the first body temperature data and the second body temperature data according to a time corresponding relation, and calculating a final temperature value according to the stored first body temperature data and the second body temperature data.

7. The method according to claim 6, wherein storing the first body temperature data and the second body temperature data in a time correspondence relationship, and calculating a final temperature value based on the stored first body temperature data and second body temperature data, comprises:

storing the first body temperature data and the second body temperature data according to a time stamp;

calculating a difference between a first temperature value measured by the thermistor sensor and a second temperature value measured by the infrared temperature measurement sensor at each time point; the method comprises the steps of carrying out a first treatment on the surface of the

According to at least one group of first body temperature values with the minimum difference value and the second body temperature values corresponding to the time of the first body temperature values, the first body temperature values and the second body temperature values are taken as characteristic points;

and calculating the final temperature value according to the obtained characteristic points.

8. A method of measuring body temperature according to claim 7, wherein said calculating said final temperature value from the obtained plurality of feature points comprises:

the temperature value corresponding to each feature point is calculated using the following formula:

T _i ＝D+B*Tb _{_ntci} +C*Tb _i

in Tb _{_ntci} Indicating the temperature value measured by the thermistor sensor, tb _i Representing a temperature value measured by an infrared temperature sensor; D. b, C are all preset coefficients;

and averaging the temperature values corresponding to the characteristic points to obtain the final temperature value.

9. A method of measuring body temperature as set forth in claim 7 wherein said calculating a final temperature value from said stored first and second body temperature data comprises:

and calculating a heat transfer coefficient according to the first temperature value, calculating a differential value of the heat transfer coefficient at an adjacent time point, and judging that the first temperature value is abnormal if the differential value is larger than a preset value.

10. The method of claim 9, further comprising the step of correcting the anomaly data:

after judging that the first temperature value is abnormal, acquiring the second temperature value corresponding to the first temperature value time; calculating the heat transfer coefficient according to the second temperature value, calculating a new temperature value according to the heat transfer coefficient, and updating the first temperature value with the new temperature value;

and calculating a difference value between the updated first temperature value and the second temperature value corresponding to time, and judging whether the updated first temperature value is used for calculating the final temperature value according to whether the difference value is larger than a preset difference value.

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