CN112504507A - Wearable device - Google Patents
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Abstract
The application provides wearing equipment relates to wearing equipment technical field, and wherein, wearing equipment includes: the contact sensor is used for acquiring body surface temperature data of a target user; the non-contact infrared sensor is used for acquiring infrared heat radiation temperature data of a target user; the environment temperature sensor is used for acquiring environment temperature data of a target user; and the processor is used for calculating the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm to generate the user body temperature of the target user. Therefore, the temperature data acquired by the contact and non-contact modes are simultaneously adopted to measure the body temperature of the user, and the temperature measurement precision and efficiency are improved.
Description
Technical Field
The application relates to wearing equipment technical field especially relates to a wearing equipment.
Background
At present, the wearable equipment of intelligence owing to integrateed microsensor, control module and wireless communication module, can realize human motion, health and physiological information's detection, analysis, temporary storage and long-range wireless transmission, consequently received more and more people's concern and favor, for example intelligent bracelet, intelligent wrist-watch, earphone etc. is inseparable day-to-day with people's daily life, can increase temperature sensor on wearable equipment, realizes the measurement of user's body temperature.
Among the correlation technique, thereby obtain user's body temperature through the mode of heat-conduction with human body surface temperature conduction inside wearable equipment, however, temperature sensor must form the heat exchange with equipment shell or other external interface contact, and it is long to reach the time of thermal balance, and structural design is complicated, receives the assembly influence big.
Disclosure of Invention
The present application aims to solve at least to some extent one of the above mentioned technical problems.
Therefore, the first aim at of this application is to provide a wearing equipment, has solved among the prior art technical problem that temperature measurement mode is inefficiency and the precision is poor, carries out the measurement of user's body temperature through the temperature data that adopts contact and non-contact two kinds of modes to obtain simultaneously, improves temperature measurement precision and efficiency.
To achieve the above object, an embodiment of a first aspect of the present application provides a wearable device, including: the contact sensor is used for acquiring body surface temperature data of a target user; the non-contact infrared sensor is used for acquiring infrared heat radiation temperature data of the target user; the environment temperature sensor is used for acquiring environment temperature data of the target user; and the processor is used for calculating the body surface temperature data, the infrared heat radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm to generate the user body temperature of the target user.
In one embodiment of the present application, the wearable device further includes: an analog-to-digital conversion unit, wherein the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, and the processor are all connected to the analog-to-digital conversion unit,
the analog-to-digital conversion unit is specifically configured to:
performing analog-to-digital conversion on the electric signal of the body surface temperature of the target user acquired by the contact sensor to generate body surface temperature data;
performing analog-to-digital conversion processing on the electric signal of the infrared heat radiation power of the target user acquired by the non-contact infrared sensor to generate infrared heat radiation temperature data;
and performing analog-to-digital conversion on the electric signal of the environmental temperature of the target user acquired by the environmental temperature sensor to generate environmental temperature data.
In one embodiment of the present application, the processor includes:
the first acquisition unit is used for acquiring the data acquisition time of the wearable device to the target user;
the first generation unit is used for calculating the infrared thermal radiation temperature data and the environment temperature data according to a preset first temperature fitting model when the data acquisition time is greater than or equal to a preset first time and is less than or equal to a preset second time so as to generate the user body temperature of the target user;
and the second generating unit is used for calculating the body surface temperature data and the environment temperature data according to a preset second temperature fitting model when the data acquisition time is longer than the second time, and generating the user body temperature of the target user.
In one embodiment of the present application, the processor further includes:
the third generating unit is used for acquiring a plurality of infrared heat radiation temperature data of a plurality of sample users and generating a first temperature curve according to the plurality of infrared heat radiation temperature data;
a second obtaining unit, configured to obtain a stable value of infrared thermal radiation temperature data from the first temperature curve, and use an arrival time of the stable value of infrared thermal radiation temperature data as the first time;
the fourth generating unit is used for acquiring a plurality of sample body surface temperature data of a plurality of sample users and generating a second temperature curve according to the plurality of sample body surface temperature data;
a third obtaining unit, configured to obtain a stable value of the body surface temperature data from the second temperature curve, and use an arrival time of the stable value of the body surface temperature data as the second time, where the second time is greater than the first time;
the fourth acquisition unit is used for acquiring a plurality of pieces of environment temperature data of a plurality of sample users and generating a third temperature curve according to the plurality of pieces of environment temperature data;
a training unit for training the first temperature fitting model and the second temperature fitting model according to the first temperature curve, the second temperature curve, and the third temperature curve.
In one embodiment of the present application, the processor includes:
a fifth acquiring unit, configured to acquire a first difference between the body surface temperature data and the infrared thermal radiation temperature data;
a sixth acquiring unit, configured to acquire a second difference between the body surface temperature data and the ambient temperature data;
a seventh acquiring unit configured to acquire a third difference between the infrared thermal radiation temperature data and the ambient temperature data;
an eighth obtaining unit, configured to obtain, according to a preset weight distribution function, a first weight corresponding to the first difference, a second weight corresponding to the second difference, and a third weight corresponding to the third difference;
the fifth generating unit is used for calculating the first weight, the body surface temperature data and the infrared heat radiation temperature data according to a preset temperature weight fitting algorithm to generate an initial body temperature;
and the sixth generating unit is configured to calculate the second weight, the third difference, the environmental temperature data and the initial body temperature according to a preset temperature compensation fitting algorithm, and generate the user body temperature of the target user.
In one embodiment of the present application, the wearable device further includes: a display unit, wherein the processor is connected with the display unit, wherein,
the display unit is used for displaying the body temperature of the user.
In one embodiment of the present application, the processor transmits the user body temperature to a target device associated with the target user.
In one embodiment of the present application, the wearable device further includes: a sound playing unit, wherein the processor is connected with the sound playing unit, wherein,
and the sound playing unit is used for broadcasting the body temperature of the user.
In one embodiment of the present application, the wearable device further includes: a power supply unit, wherein the power supply unit is respectively connected with the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, the processor, the analog-to-digital conversion unit, the display unit, the wireless transmission unit and the sound playing unit,
the power supply unit is used for respectively providing power for the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, the processor, the analog-to-digital conversion unit, the display unit, the wireless transmission unit and the sound playing unit.
In one embodiment of the present application, the wearable device further includes: the device comprises a device shell, a heat conduction pin and a heat conduction material; wherein,
the contact sensor is connected with the heat conduction material, the heat conduction material is connected with the heat conduction pin, and the heat conduction pin is arranged in the equipment shell and used for collecting the body surface temperature data of the target user.
The technical scheme provided by the application at least has the following beneficial technical effects:
the wearing equipment includes: the contact sensor is used for acquiring body surface temperature data of a target user; the non-contact infrared sensor is used for acquiring infrared heat radiation temperature data of a target user; the environment temperature sensor is used for acquiring environment temperature data of a target user; and the processor is used for calculating the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm to generate the user body temperature of the target user. Therefore, the temperature data acquired by the contact and non-contact modes are simultaneously adopted to measure the body temperature of the user, and the temperature measurement precision and efficiency are improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic structural diagram of a wearable device provided in an embodiment of the present application;
fig. 2 is a schematic structural diagram of another wearable device provided in the embodiment of the present application;
fig. 3 is a schematic structural diagram of another wearable device provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of another wearable device provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of still another wearable device provided in an embodiment of the present application;
fig. 6 a-6 b are schematic structural diagrams of a wearable device provided in an embodiment of the present application;
FIG. 7 is a schematic diagram of a temperature profile provided by an embodiment of the present application;
fig. 8 is a schematic structural diagram of still another wearable device provided in an embodiment of the present application;
fig. 9 is a schematic structural diagram of still another wearable device provided in an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
Wearing apparatuses according to embodiments of the present application are described below with reference to the drawings. Wherein, wearing equipment of this application embodiment etc. has various operating system's hardware equipment, and this wearing equipment can be intelligent bracelet, intelligent wrist-watch, intelligent glasses etc..
Fig. 1 is a schematic structural diagram of a wearable device provided in an embodiment of the present application. As shown in fig. 1, the wearable device includes: touch sensor 100, non-touch infrared sensor 200, ambient temperature sensor 300, and processor 400.
The touch sensor 100 is configured to collect body surface temperature data of a target user.
And the non-contact infrared sensor 200 is used for acquiring infrared heat radiation temperature data of a target user.
And an ambient temperature sensor 300 for collecting ambient temperature data of the target user.
In the embodiment of the present application, the temperature of the target user may be acquired by a temperature sensor, where the temperature sensor may be the contact sensor 100 or the non-contact sensor 200, for example, the contact sensor 100 may acquire the temperature of the target user in a manner that the body surface temperature of the target user is transferred to the contact sensor 100 inside the device through heat conduction; the non-contact infrared sensor 200 can acquire the temperature of the target user in such a manner that it absorbs infrared rays radiated from a human body without emitting any rays to the outside.
In the embodiment of the application, the method for acquiring the body surface temperature data and the infrared heat radiation temperature data of the target user can select different methods to set the sensor according to different application scenes, so that the body surface temperature data and the infrared heat radiation temperature data of the target user are acquired, and the environment temperature data of the target user are acquired.
As a possible implementation, as shown in fig. 2, the wearable device further includes: an analog-to-digital conversion unit 500, wherein the touch sensor 100, the non-touch infrared sensor 200, the ambient temperature sensor 300, and the processor 400 are connected to the analog-to-digital conversion unit 500.
The body surface temperature of a target user is collected through the contact sensor 100, the analog-to-digital conversion unit 500 performs analog-to-digital conversion on an electric signal of the body surface temperature to generate body surface temperature data, the infrared thermal radiation power of the target user is collected through the non-contact infrared sensor 200, the analog-to-digital conversion unit 500 performs analog-to-digital conversion on the electric signal of the infrared thermal radiation power to generate infrared thermal radiation temperature data, the environment temperature of the target user is collected through the environment temperature sensor 300, and the analog-to-digital conversion unit 500 performs analog-to-digital conversion on the electric signal of the environment temperature to.
In order to further improve the accuracy of generating the body temperature of the user of the target user, it is preferable to acquire the ambient temperature in the vicinity of the skin of the target user.
And the processor 400 is configured to calculate the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm, and generate a user body of the target user.
In the embodiment of the application, the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data can be calculated according to a preset temperature fitting algorithm, and the user body temperature of the target user can be generated in various ways, specifically, the setting is selected according to a scene, for example, as follows:
a first example, as shown in fig. 3, is a processor 400 comprising: a first acquisition unit 401, a first generation unit 402, and a second generation unit 403.
The first obtaining unit 401 is configured to obtain data collecting time of the wearable device for a target user, the first generating unit 402 is configured to calculate infrared thermal radiation temperature data and environment temperature data according to a preset first temperature fitting model when the data collecting time is greater than or equal to the preset first time and is less than or equal to the preset second time, and generate a user body temperature of the target user, and the second generating unit 403 is configured to calculate body surface temperature data and environment temperature data according to a preset second temperature fitting model when the data collecting time is greater than the second time, and generate the user body temperature of the target user.
In an embodiment of the present application, based on fig. 3, as shown in fig. 4, the processor 400 further includes: a third generation unit 404, a second acquisition unit 405, a fourth generation unit 406, a third acquisition unit 407, a fourth acquisition unit 408, and a training unit 409.
A third generating unit 404 for acquiring a plurality of infrared thermal radiation temperature data of a plurality of sample users and generating a first temperature curve according to the plurality of infrared thermal radiation temperature data, a second acquiring unit 405 for acquiring a stable value of infrared thermal radiation temperature data from the first temperature curve and taking an arrival time with the stable value of infrared thermal radiation temperature data as a first time, a fourth generating unit 406 for acquiring a plurality of sample body surface temperature data of the plurality of sample users and generating a second temperature curve according to the plurality of sample body surface temperature data, a third acquiring unit 407 for acquiring a stable value of body surface temperature data from the second temperature curve and taking an arrival time with the stable value of body surface temperature data as a second time, wherein the second time is greater than the first time; a fourth obtaining unit 408, configured to obtain multiple pieces of environment temperature data of multiple sample users, and generate a third temperature curve according to the multiple pieces of environment temperature data; and a training unit 409 for training the first temperature fitting model and the second temperature fitting model according to the first temperature curve, the second temperature curve, and the third temperature curve.
A second example, as shown in fig. 5, is a processor 400 comprising: a fifth acquiring unit 410, a sixth acquiring unit 411, a seventh acquiring unit 412, an eighth acquiring unit 413, a fifth generating unit 414, and a sixth generating unit 415.
A fifth obtaining unit 410 for obtaining a first difference between the body surface temperature data and the infrared thermal radiation temperature data, a sixth obtaining unit 411 for obtaining a second difference between the body surface temperature data and the ambient temperature data, a seventh obtaining unit 412 for obtaining a third difference between the infrared thermal radiation temperature data and the ambient temperature data, an eighth obtaining unit 413 for obtaining a first weight corresponding to the first difference, a second weight corresponding to the second difference, and a third weight corresponding to the third difference according to a preset weight distribution function, a fifth generating unit 414 for calculating the first weight according to a preset temperature weight fitting algorithm, and the body surface temperature data and the infrared thermal radiation temperature data, to generate an initial body temperature, a sixth generating unit 415 for calculating the second weight according to a preset temperature compensation fitting algorithm, and calculating the third difference, the environmental temperature data and the initial body temperature to generate the user body temperature of the target user.
In this embodiment of the application, touch sensor 100, non-contact infrared sensor 200 and ambient temperature sensor 300 to and after detecting that wearing equipment is the wearing state, inside human body surface temperature can pass to equipment through heat-conduction's mode, the inside touch sensor 100 of equipment can be with the target user's that gathers body surface temperature, carry out analog-to-digital conversion processing to the signal of telecommunication of body surface temperature through analog/digital conversion unit 500 and generate body surface temperature data and send for treater 400.
Meanwhile, infrared thermal radiation power emitted by a human body is focused on the non-contact infrared temperature sensor 200, the infrared temperature sensor 100 performs analog-to-digital conversion on an electric signal of the infrared thermal radiation power through the analog-to-digital conversion unit 500 to generate infrared thermal radiation temperature data and sends the infrared thermal radiation temperature data to the processor 400, the ambient temperature sensor on the circuit board collects the ambient temperature of a target user, the electric signal of the ambient temperature performs analog-to-digital conversion through the analog-to-digital conversion unit 500 to generate infrared thermal radiation temperature data and sends the infrared thermal radiation temperature data to the processor 400, and the processor 400 can further process the received temperature data to obtain the body temperature of the target user.
In the embodiment of the present application, the temperature curve model collected by the three sensors includes, but is not limited to, the curve shown in fig. 4, T in fig. 4αFor a contact sensor temperature profile, elapsed time taStable after temperature, TaTo a stabilized temperature; t isβIs a temperature curve of the non-contact infrared sensor, and the elapsed time tbThe post-temperature is stable, and T is the post-stabilization temperature; t isγIs a temperature curve, T, of a non-contact infrared sensorcTo stabilize the post-stabilization temperature.
Further, the three electrical signals are converted into digital signals by the analog/digital conversion unit and then transmitted to the processor 400, the processor 400 calculates the user body temperature of the target user by an algorithm (including but not limited to a weighting algorithm and a temperature compensation algorithm), and the user body temperature of the target user can be displayed on the display unit or output to other equipment by the wireless transmission unit, so that the use requirements of different scenes and different users are further met.
In the embodiment of the present application, the temperature model used may include, but is not limited to, a thermal conduction model and a thermal radiation model, and a temperature fitting model may be established by collecting a large amount of data, and the temperature collected by the user body temperature and the three sensors, preferably, the temperature fitting model includes, but is not limited to, the following:
the fitting formula of the temperature fitting model is as follows:
wherein p is0，p1，k0，k1Is a constant related to the temperature fit model, and preferably p0＝1.13，p1＝0.065，k0＝0.38， k1＝0.76。
Wherein, tbThe value is 30-60 seconds, taTaking values of 10-15 minutes, preferably tbAround 30s, taApproximately 10 min.
Therefore, for example, as shown in the schematic structural diagram of fig. 6a, the data acquisition time of the wearable device for the target user is obtained, where the data acquisition time is greater than or equal to the preset first time tbAnd is less than or equal to the preset second time taAnd calculating the infrared thermal radiation temperature data and the environment temperature data according to a preset first temperature fitting model to generate the user body temperature of the target user, namely a first fitting formula of the formula (1).
Further, for example, the wearing device structure diagram shown in fig. 6b, the data acquisition time of the wearing device to the target user is obtained, where the data acquisition time is greater than the second time taAnd calculating the body surface temperature data and the environment temperature data according to a preset second temperature fitting model to generate the user body temperature of the target user, namely a second fitting formula of the formula (1).
It should be noted that the wearable device structure shown in fig. 6a and 6b can be used alone with a temperature sensor or in combination with other sensors such as an acceleration sensor, a gyroscope, an electronic compass, a heart rate sensor, an electrocardiograph sensor, a touch sensor, etc., to implement wearing detection or detection of human body motion, health and physiological information, etc., so as to further meet the user use requirements.
For example, the temperature T of the ambient temperature sensor 300 is utilized by the above fitting equationγThe data acquisition time t (t) can be rapidly calculated by temperature compensationb≤t≤ta) The user temperature T can be obtained more quickly, and the temperature deviation is less than +/-0.5 ℃; at the same time, at the data acquisition time t (t > t)a) Temperature T of internal-following contact sensorαTends to be stable, using the temperature T of the ambient temperature sensor 300γTemperature compensation is carried out, the calculated body temperature of the user can be more accurate, the temperature deviation is less than +/-0.2 ℃, and the measurement precision and efficiency are further improved.
The following table illustrates the data for two time ranges, and it can be seen from the following table that the temperature deviation between the body temperature obtained by fitting and the body temperature actually tested is within the required temperature deviation range.
It should be noted that the temperature fitting model is not limited to the above formula (1), and may also be implemented by establishing a plurality of functions according to the body temperatures of a plurality of users and the temperatures acquired by the three sensors, solving the functions to obtain a plurality of function parameters, and finally establishing a target function, i.e., a temperature fitting model, based on the plurality of function parameters, so as to realize that the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data are input to the target function to obtain the body temperature of the user of the target user.
It can be understood that a temperature fitting model needs to be obtained in advance, as shown in fig. 7, in this embodiment of the application, a plurality of infrared thermal radiation temperature data (infrared thermal radiation temperature data is generated by performing analog-to-digital conversion on an electrical signal of infrared thermal radiation power through an analog-to-digital conversion unit) collected by the non-contact infrared sensor 200 without using a sample user may be obtained, and a first temperature curve, such as T in fig. 7, is generated according to infrared thermal radiation temperature data corresponding to different collection timesβAnd from the first temperature profileObtaining a stable value of the infrared radiation temperature data, and using an arrival time of the stable value of the infrared radiation temperature data as a first time, such as T in fig. 7β。
In this embodiment, a plurality of sample body surface temperature data acquired by the touch sensor 100 without using a sample user (the electrical signal of the body surface temperature is analog-to-digital converted by the analog-to-digital conversion unit to generate body surface temperature data) may be obtained, and a second temperature curve may be generated according to the body surface temperature data corresponding to different acquisition times, for example, T in fig. 7αAnd obtaining the stable value of the body surface temperature data from the second temperature curve, and using the arrival time of the stable value of the body surface temperature data as the second time, such as t in FIG. 7a。
In this embodiment of the application, a plurality of sample environmental temperature data (environmental temperature data is generated by performing analog-to-digital conversion on an electrical signal of an environmental temperature through an analog-to-digital conversion unit) acquired by the environmental sensor 300 for a user without using a sample may be obtained, and a third temperature curve, such as T in fig. 7, may be generated according to the environmental temperature data corresponding to different acquisition timesγ。
In the embodiment of the present application, the fitting formula of the temperature fitting model is as follows:
wherein p is0，p1，k0，k1Is a constant related to the temperature fit model, and preferably p0＝1.13，p1＝0.065，k0＝0.38， k1＝0.76。
Wherein, tbThe value is 30-60 seconds, taTaking values of 10-15 minutes, preferably tbAround 30s, taApproximately 10 min.
From this, adopt contact and non-contact sensor to carry out body temperature measurement simultaneously, the thermal balance time of reducible contact scheme also reduces the influence that the non-contact scheme is easily received external environment temperature simultaneously, has improved measurement accuracy and efficiency, and it is convenient, simple, swift to gather the body temperature, and is fairly accurate moreover, especially adapted patient and all kinds of crowds' use of generating heat.
A fifth obtaining unit 410 for obtaining a first difference between the body surface temperature data and the infrared thermal radiation temperature data, a sixth obtaining unit 411 for obtaining a second difference between the body surface temperature data and the ambient temperature data, a seventh obtaining unit 412 for obtaining a third difference between the infrared thermal radiation temperature data and the ambient temperature data, an eighth obtaining unit 413 for obtaining a first weight corresponding to the first difference, a second weight corresponding to the second difference, and a third weight corresponding to the third difference according to a preset weight distribution function, a fifth generating unit 414 for calculating the first weight according to a preset temperature weight fitting algorithm, and the body surface temperature data and the infrared thermal radiation temperature data, to generate an initial body temperature, a sixth generating unit 415 for calculating the second weight according to a preset temperature compensation fitting algorithm, and calculating the third difference, the environmental temperature data and the initial body temperature to generate the user body temperature of the target user.
In the embodiment of the present application, the non-contact sensor 200 may acquire a first difference between the body surface temperature data and the infrared thermal radiation temperature data, that is, the temperature difference acquired by the contact sensor and the non-contact sensor is the first difference, and the contact temperature sensor is to contact with the device housing or other external interface to form a heat exchange, which has the disadvantages of long time for reaching a thermal equilibrium and slow temperature sensing speed, so that the temperature difference between the body surface temperature data and the environmental temperature data is the second difference, and the temperature difference between the infrared thermal radiation temperature data and the environmental temperature data is the third difference, that is, each difference of the detected temperatures of the sensors is acquired, and a weight distribution function may be preset to acquire the first weight corresponding to the first difference based on different application scenarios, a second weight corresponding to the second difference, and a third weight corresponding to the third difference.
Wherein, can set up the weight that different difference values correspond respectively according to the scene demand to the validity that different detection sensor detected is adjusted.
In the embodiment of the application, the first weight, the body surface temperature data and the infrared thermal radiation temperature data are calculated according to a preset temperature weight fitting algorithm to generate an initial body temperature, the second weight, the third difference value, the environment temperature data and the initial body temperature are calculated according to a preset temperature compensation fitting algorithm to generate a user body temperature of a target user, that is, the corresponding weight can be adjusted based on the temperature difference acquired without using a temperature sensor to adjust the initial body temperature of the user, and finally the second weight, the third difference value, the environment temperature data and the initial body temperature are calculated according to a preset temperature compensation fitting algorithm, that is, the user body temperature of the target user is obtained by utilizing the environment temperature for compensation, and the accuracy of obtaining the user temperature is further improved.
In this application embodiment, wearing equipment still includes: the device comprises a device shell, a heat conduction pin and a heat conduction material; the contact sensor is connected with the heat conduction pin through a heat conduction material, and the heat conduction pin is arranged in the equipment shell and used for collecting body surface temperature data of a target user.
In this embodiment, as shown in fig. 8, the wearable device further includes: a display unit 600, wherein the processor 400 is connected with the display unit 600, wherein the display unit 600 is used for displaying the body temperature of the user.
In this embodiment, as shown in fig. 8, the wearable device further includes: a wireless transmission unit 700, wherein the processor 400 is connected to the wireless transmission unit 700, wherein the wireless transmission unit 700 is configured to transmit the body temperature of the user to a target device associated with the target user.
In this embodiment, as shown in fig. 8, the wearable device further includes: wireless transmission unit 700, sound play unit 800, processor 400 are connected with sound play unit 800, and wherein, sound play unit is used for reporting user's body temperature.
Thereby, the user body temperature of the target user is displayed on the display unit 600 or output to other devices through the wireless transmission unit 700, and the user body temperature is reported through the sound playing unit 800. Further meeting the use requirements of different scenes and different users.
In this embodiment, as shown in fig. 9, the wearable device further includes: a power supply unit 900, wherein the power supply unit 900 is connected 800 with the touch sensor 100, the non-touch infrared sensor 200, the ambient temperature sensor 300, the processor 400, the analog-to-digital conversion unit 500, the display unit 600, the wireless transmission unit 700, and the sound playing unit, respectively, wherein,
and a power supply unit 900 for supplying power to the touch sensor 100, the non-touch infrared sensor 200, the ambient temperature sensor 300, the processor 400, the analog-to-digital conversion unit 500, the display unit 600, the wireless transmission unit 700, and the sound playing unit 800, respectively.
From this, adopt contact and non-contact sensor to carry out body temperature measurement simultaneously, the thermal balance time of reducible contact scheme also reduces the influence that the non-contact scheme is easily received external environment temperature simultaneously, has improved measurement accuracy and efficiency, and it is convenient, simple, swift to gather the body temperature, and is fairly accurate moreover, especially adapted patient and all kinds of crowds' use of generating heat.
In summary, the wearable device of the embodiment is used for acquiring the body surface temperature data of the target user through the contact sensor; the non-contact infrared sensor is used for acquiring infrared heat radiation temperature data of a target user; the environment temperature sensor is used for acquiring environment temperature data of a target user; and the processor is used for calculating the body surface temperature data, the infrared thermal radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm to generate the user body temperature of the target user. Therefore, the temperature data acquired by the contact and non-contact modes are simultaneously adopted to measure the body temperature of the user, and the temperature measurement precision and efficiency are improved.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., 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 application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A wearable device, comprising:
the contact sensor is used for acquiring body surface temperature data of a target user;
the non-contact infrared sensor is used for acquiring infrared heat radiation temperature data of the target user;
the environment temperature sensor is used for acquiring environment temperature data of the target user;
and the processor is used for calculating the body surface temperature data, the infrared heat radiation temperature data and the environment temperature data according to a preset temperature fitting algorithm to generate the user body temperature of the target user.
2. The wearable device of claim 1, further comprising: an analog-to-digital conversion unit, wherein the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, and the processor are all connected to the analog-to-digital conversion unit,
the analog-to-digital conversion unit is specifically configured to:
performing analog-to-digital conversion on the electric signal of the body surface temperature of the target user acquired by the contact sensor to generate body surface temperature data;
performing analog-to-digital conversion processing on the electric signal of the infrared heat radiation power of the target user acquired by the non-contact infrared sensor to generate infrared heat radiation temperature data;
and performing analog-to-digital conversion on the electric signal of the environmental temperature of the target user acquired by the environmental temperature sensor to generate environmental temperature data.
3. The wearable device of claim 1, wherein the processor comprises:
the first acquisition unit is used for acquiring the data acquisition time of the wearable device to the target user;
the first generation unit is used for calculating the infrared thermal radiation temperature data and the environment temperature data according to a preset first temperature fitting model when the data acquisition time is greater than or equal to a preset first time and is less than or equal to a preset second time so as to generate the user body temperature of the target user;
and the second generating unit is used for calculating the body surface temperature data and the environment temperature data according to a preset second temperature fitting model when the data acquisition time is longer than the second time, and generating the user body temperature of the target user.
4. The wearable device of claim 3, wherein the processor further comprises:
the third generating unit is used for acquiring a plurality of infrared heat radiation temperature data of a plurality of sample users and generating a first temperature curve according to the plurality of infrared heat radiation temperature data;
a second obtaining unit, configured to obtain a stable value of infrared thermal radiation temperature data from the first temperature curve, and use an arrival time of the stable value of infrared thermal radiation temperature data as the first time;
the fourth generating unit is used for acquiring a plurality of sample body surface temperature data of a plurality of sample users and generating a second temperature curve according to the plurality of sample body surface temperature data;
a third obtaining unit, configured to obtain a stable value of the body surface temperature data from the second temperature curve, and use an arrival time of the stable value of the body surface temperature data as the second time, where the second time is greater than the first time;
the fourth acquisition unit is used for acquiring a plurality of pieces of environment temperature data of a plurality of sample users and generating a third temperature curve according to the plurality of pieces of environment temperature data;
a training unit for training the first temperature fitting model and the second temperature fitting model according to the first temperature curve, the second temperature curve, and the third temperature curve.
5. The wearable device of claim 1, wherein the processor comprises:
a fifth acquiring unit, configured to acquire a first difference between the body surface temperature data and the infrared thermal radiation temperature data;
a sixth acquiring unit, configured to acquire a second difference between the body surface temperature data and the ambient temperature data;
a seventh acquiring unit configured to acquire a third difference between the infrared thermal radiation temperature data and the ambient temperature data;
an eighth obtaining unit, configured to obtain, according to a preset weight distribution function, a first weight corresponding to the first difference, a second weight corresponding to the second difference, and a third weight corresponding to the third difference;
the fifth generating unit is used for calculating the first weight, the body surface temperature data and the infrared heat radiation temperature data according to a preset temperature weight fitting algorithm to generate an initial body temperature;
and the sixth generating unit is configured to calculate the second weight, the third difference, the environmental temperature data and the initial body temperature according to a preset temperature compensation fitting algorithm, and generate the user body temperature of the target user.
6. The wearable device of claim 1, further comprising: a display unit, wherein the processor is connected with the display unit, wherein,
the display unit is used for displaying the body temperature of the user.
7. The wearable device of claim 1, further comprising: a wireless transmission unit, wherein the processor is coupled to the wireless transmission unit, wherein,
and the wireless transmission unit is used for transmitting the body temperature of the user to target equipment associated with the target user.
8. The wearable device of claim 1, further comprising: a sound playing unit, wherein the processor is connected with the sound playing unit, wherein,
and the sound playing unit is used for broadcasting the body temperature of the user.
9. The wearable device of any of claims 1-8, further comprising: a power supply unit, wherein the power supply unit is respectively connected with the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, the processor, the analog-to-digital conversion unit, the display unit, the wireless transmission unit and the sound playing unit,
the power supply unit is used for respectively providing power for the contact sensor, the non-contact infrared sensor, the ambient temperature sensor, the processor, the analog-to-digital conversion unit, the display unit, the wireless transmission unit and the sound playing unit.
10. The wearable device of claim 1, further comprising: the device comprises a device shell, a heat conduction pin and a heat conduction material; wherein,
the contact sensor is connected with the heat conduction material, the heat conduction material is connected with the heat conduction pin, and the heat conduction pin is arranged in the equipment shell and used for collecting the body surface temperature data of the target user.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113268917A (en) * | 2021-04-29 | 2021-08-17 | 杭州魔点科技有限公司 | Temperature measurement method, system, electronic device and storage medium |
Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3855863A (en) * | 1973-03-30 | 1974-12-24 | Ca Minister Nat Defence | Method and apparatus for determining wet bulb globe temperature |
| JP3590049B1 (en) * | 2003-12-03 | 2004-11-17 | 株式会社日立製作所 | Blood glucose measurement device |
| US20050094705A1 (en) * | 2003-11-05 | 2005-05-05 | Microlife Intellectual Property Gmbh | Infrared thermometer and method for determining temperature |
| WO2016093491A1 (en) * | 2014-12-08 | 2016-06-16 | (주)파트론 | Infrared temperature sensor and method for measuring temperature |
| CN106289563A (en) * | 2016-07-19 | 2017-01-04 | 广州视源电子科技股份有限公司 | Temperature detection method, system and device |
| CN106706165A (en) * | 2015-11-16 | 2017-05-24 | 中国移动通信集团公司 | Method and device for measuring temperature |
| CN206482560U (en) * | 2016-08-03 | 2017-09-12 | 广州视源电子科技股份有限公司 | Sign measuring equipment |
| KR20190061772A (en) * | 2017-11-28 | 2019-06-05 | 서울대학교산학협력단 | Sensor module for collecting biometric information of livestock and method for calibrating temperature using the sensor module |
| US20190175024A1 (en) * | 2016-06-12 | 2019-06-13 | Nokia Technologies Oy | Method and Apparatus for Estimating a Body Temperature |
| KR20190116954A (en) * | 2018-04-05 | 2019-10-15 | 김선호 | contactless animal thermometer and method for measure the temperature of animal |
| CN111077838A (en) * | 2020-01-14 | 2020-04-28 | 深圳市三五智能科技有限公司 | Wearable multifunctional body temperature monitoring system |
| CN111337162A (en) * | 2020-03-11 | 2020-06-26 | 饶家明 | Body temperature detection device based on mobile phone control |
| US20200205675A1 (en) * | 2018-12-28 | 2020-07-02 | National Cheng Kung University | System and method for enhancing accuracy of body surface temperature measurement |
| CN111442852A (en) * | 2020-04-24 | 2020-07-24 | 云南中烟工业有限责任公司 | Device and method for detecting surface temperature of heating element in cylindrical cavity |
| CN111458036A (en) * | 2020-06-04 | 2020-07-28 | 北京波谱华光科技有限公司 | Human body temperature measurement correction method and system based on multiple regression |
| CN111458042A (en) * | 2020-04-14 | 2020-07-28 | 清华大学 | Human body temperature measuring device, non-contact measuring method and temperature control method |
| CN111551281A (en) * | 2020-04-29 | 2020-08-18 | 易显智能科技有限责任公司 | Body temperature detection device and method |
| CN111579096A (en) * | 2020-05-07 | 2020-08-25 | 深圳市微电元科技有限公司 | Infrared temperature measurement sensor module, temperature measurement method and temperature measurement equipment |
| CN111751011A (en) * | 2020-04-04 | 2020-10-09 | 深圳市厚德智连科技有限公司 | Infrared body surface temperature measuring equipment and detection method |
| CN111887808A (en) * | 2020-07-14 | 2020-11-06 | 魏强 | Method and system for measuring strength and change of nutrient qi and defensive qi |
-
2020
- 2020-11-20 CN CN202011315050.0A patent/CN112504507B/en active Active
Patent Citations (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3855863A (en) * | 1973-03-30 | 1974-12-24 | Ca Minister Nat Defence | Method and apparatus for determining wet bulb globe temperature |
| US20050094705A1 (en) * | 2003-11-05 | 2005-05-05 | Microlife Intellectual Property Gmbh | Infrared thermometer and method for determining temperature |
| JP3590049B1 (en) * | 2003-12-03 | 2004-11-17 | 株式会社日立製作所 | Blood glucose measurement device |
| WO2016093491A1 (en) * | 2014-12-08 | 2016-06-16 | (주)파트론 | Infrared temperature sensor and method for measuring temperature |
| CN106706165A (en) * | 2015-11-16 | 2017-05-24 | 中国移动通信集团公司 | Method and device for measuring temperature |
| US20190175024A1 (en) * | 2016-06-12 | 2019-06-13 | Nokia Technologies Oy | Method and Apparatus for Estimating a Body Temperature |
| CN106289563A (en) * | 2016-07-19 | 2017-01-04 | 广州视源电子科技股份有限公司 | Temperature detection method, system and device |
| CN206482560U (en) * | 2016-08-03 | 2017-09-12 | 广州视源电子科技股份有限公司 | Sign measuring equipment |
| KR20190061772A (en) * | 2017-11-28 | 2019-06-05 | 서울대학교산학협력단 | Sensor module for collecting biometric information of livestock and method for calibrating temperature using the sensor module |
| KR20190116954A (en) * | 2018-04-05 | 2019-10-15 | 김선호 | contactless animal thermometer and method for measure the temperature of animal |
| US20200205675A1 (en) * | 2018-12-28 | 2020-07-02 | National Cheng Kung University | System and method for enhancing accuracy of body surface temperature measurement |
| CN111077838A (en) * | 2020-01-14 | 2020-04-28 | 深圳市三五智能科技有限公司 | Wearable multifunctional body temperature monitoring system |
| CN111337162A (en) * | 2020-03-11 | 2020-06-26 | 饶家明 | Body temperature detection device based on mobile phone control |
| CN111751011A (en) * | 2020-04-04 | 2020-10-09 | 深圳市厚德智连科技有限公司 | Infrared body surface temperature measuring equipment and detection method |
| CN111458042A (en) * | 2020-04-14 | 2020-07-28 | 清华大学 | Human body temperature measuring device, non-contact measuring method and temperature control method |
| CN111442852A (en) * | 2020-04-24 | 2020-07-24 | 云南中烟工业有限责任公司 | Device and method for detecting surface temperature of heating element in cylindrical cavity |
| CN111551281A (en) * | 2020-04-29 | 2020-08-18 | 易显智能科技有限责任公司 | Body temperature detection device and method |
| CN111579096A (en) * | 2020-05-07 | 2020-08-25 | 深圳市微电元科技有限公司 | Infrared temperature measurement sensor module, temperature measurement method and temperature measurement equipment |
| CN111458036A (en) * | 2020-06-04 | 2020-07-28 | 北京波谱华光科技有限公司 | Human body temperature measurement correction method and system based on multiple regression |
| CN111887808A (en) * | 2020-07-14 | 2020-11-06 | 魏强 | Method and system for measuring strength and change of nutrient qi and defensive qi |
Non-Patent Citations (2)
| Title |
|---|
| LING THY 等: "Elderly Infrared Body Temperature Telemonitoring System with XBee Wireless Protocol", 《2015 9TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST)》 * |
| 侯晓旭 等: "用于提高非接触体温测量精度的恒低温环境系统的设计与实现", 《中国生物医学工程学报》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113268917A (en) * | 2021-04-29 | 2021-08-17 | 杭州魔点科技有限公司 | Temperature measurement method, system, electronic device and storage medium |
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