CN113188683B - Human body temperature non-inductive detection system for wearing with wireless transmission function - Google Patents
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Abstract
The invention provides a wearable human body temperature non-inductive detection system with a wireless transmission function, which comprises a first temperature sensor, a second temperature sensor, a main control module, a filtering module, a wireless communication module, a cloud storage module and an energy consumption management module, wherein the first temperature sensor is connected with the second temperature sensor through a wireless transmission line; the first temperature sensor and the second temperature sensor are used as temperature probes and are tightly attached to the skin and the subcutaneous tissue layer of the human body; the first temperature sensor and the skin and subcutaneous tissue layer of the human body form a first heat flow channel, and the second temperature sensor and the skin and subcutaneous tissue layer of the human body form a second heat flow channel; the top and periphery of the temperature sensor share the same thermal radiation with boundary conditions; the system provided by the invention has short initial time during temperature detection, and has strong ambient temperature fluctuation resistance by adopting the filtering module to actively cancel noise of different sensors for measuring skin in a certain area, thereby reducing the influence of ambient temperature fluctuation.
Description
Technical Field
The invention belongs to the technical field of temperature sensing detection, and particularly relates to a human body temperature non-sensing detection system with a wireless transmission function for wearing.
Background
At present, the population aging of China is getting more severe and the prevalence rate of chronic diseases is continuously increased, so that the disease prevention consciousness of the whole population is gradually enhanced, and researchers begin to actively explore a method for preventing diseases in advance and monitoring the health of human bodies in real time. With the development of the fields of integrated electronic technology, material science, wireless communication and the like, wearable sports health products similar to i Watch, millet bracelet and the like are continuously emerged. Many products are worn on a plurality of parts such as arms, ankles, ears and the like of a human body by using a flexible sensing technology, and the flexible sensor and the intelligent wearable technology for monitoring human body signals have great application value in the fields of health care, flexible electronics and the like, and are in intensive research. The traditional way of acquiring medical information increases the patient's burden of seeing a doctor. Flexible wearable devices are dedicated to the study of thin and soft flexible electronic components integrated with accessories, human skin and even internal organs of the human body for human body information detection, providing unique functionality in health care, clinical diagnostics and drug delivery.
Temperature is an important physical quantity in the skin, and human skin can sense the temperature of an object by means of heat conduction due to the presence of heat receptors and cold receptors in the skin, and can keep the body temperature constant within a proper external environment temperature range due to the presence of a complete secretory system and a heat-generating structure in the human body.
However, the human body temperature detection system for flexible wearable in the prior art only pays attention to the realization of the characteristic of flexible wearable, but the flexible sensor generally comprises a plurality of sensors for simultaneously detecting the temperature of the skin of a certain part of area, which easily causes the inconsistency of detection references of different sensors, and is affected by the fluctuation of different environmental temperatures of the skin of the area, so that the detection fluctuates along with the fluctuation of the environmental temperature, and the human body temperature non-sensitive detection system with short initial test time is urgently needed because the human body temperature non-sensitive detection system needs to adapt to the skin fitting degree and the body temperature of a detector after being worn and has long initial time.
Disclosure of Invention
Aiming at the defects, the invention provides the human body temperature non-inductive detection system for wearing, which has the advantages of short initial time, strong ambient temperature fluctuation resistance and strong wireless transmission function, and can carry out active noise cancellation on different sensors for measuring skin in a certain area by adopting the filtering module so as to further reduce the influence of ambient temperature fluctuation.
The invention provides the following technical scheme: a human body temperature non-inductive detection system with a wireless transmission function for wearing comprises a first temperature sensor, a second temperature sensor, a main control module, a filtering module, a wireless communication module, a cloud storage module and an energy consumption management module;
the first isThe temperature sensor and the second temperature sensor are used as temperature probes and are tightly attached to the skin and the subcutaneous tissue layer of a human body, the thickness of the first temperature sensor is larger than that of the second temperature sensor, and the thermal resistance value of the first temperature sensor is R1The thermal resistance value of the second temperature sensor is R2；
The first temperature sensor and the skin and the subcutaneous tissue layer of the human body form a first heat flow channel, the second temperature sensor and the skin and the subcutaneous tissue layer of the human body form a second heat flow channel, and the thickness of the skin and the subcutaneous tissue layer of the human body is l0A thermal resistance value of RSThe first temperature sensor detects that the temperature close to the skin side of the human body is T1The temperature far away from the skin side of the human body is T2The thickness of the first temperature sensor is l1(ii) a The second temperature sensor detects that the temperature close to the skin side of the human body is T3The temperature far away from the skin side of the human body is T4The thickness of the second temperature sensor is l2(ii) a The top and periphery of the temperature sensor share the same thermal radiation with boundary conditions;
the non-inductive detection by the human body temperature comprises the following steps:
s1: t obtained through detection of first heat flow channel1、T2Calculating to obtain the core temperature of the first temperature sensor
Through the second heat flow channel T3、T4Calculating to obtain the core temperature of the second temperature sensor
The temperature of the core body of the first temperature sensor is measured by the filtering module
And the second temperature sensor core temperature
Active noise elimination is carried out to reduce the influence of environment temperature fluctuation on the detected temperature, and the temperature of the first temperature sensor chip after the active noise elimination is obtained
And second temperature sensor chip temperature after active cancellation
S2: temperature of first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
Calculating the center temperature T of the detected skin areacore。
The first and second temperature sensors prevent direct cross-heat exchange that detects temperatures at different locations.
Further, the filtering module comprises a parameter adjustable digital filtering module, a least mean square adaptive filter and a low-pass filter.
Further, the filtering module is used for filtering the core temperature of the first temperature sensor
And the second temperature sensor core temperature
A process for performing active noise cancellation comprising the steps of:
s11: detected by the first temperature sensor
And detected by the second temperature sensor
Inputting an initial fluctuation input signal x (n) which is influenced by the ambient temperature into the adjustable digital filtering module and the least mean square adaptive filter;
s12: inputting a damaged temperature signal d (n) through the low-pass filter, and taking the damaged temperature signal d (n) as an adjusting value, wherein the input value is the least mean square adaptive filter for adjusting the initial fluctuation signal to obtain an output signal y (n) after active noise elimination:
wherein i is 1,2 …, n;
wherein w (i) is an adjustable weight coefficient of the least mean square adaptive filter:
w(i+1)＝w(i)-2μe(i)x(i)；
said e (i) ═ d (i) -y (i), when said e (i) is minimum, said least mean square adaptive filter is optimized;
s13: inputting the output signal y (n) after the active noise is eliminated into the adjustable digital filtering module, and updating each cycle through continuous iteration of the w (i) until the filtering module outputs the output signal with the active noise eliminated to be within an effective range, and stopping iteration and updating the cycle;
obtaining the temperature of the first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
Further, the skin area center temperature T detected in the step S2coreThe calculation formula of (a) is as follows:
and K is a calculation parameter of the central temperature of the detected skin area.
Further, the calculation formula of K is as follows:
further, the first temperature sensor core temperature is calculated through T1 and T2 detected by the first heat flow channel in the step S1
The calculation method comprises the following steps:
1) constructing a polar coordinate three-dimensional heat conduction model at the first temperature sensor:
wherein rho is the element density and the unit is kg/m3) C is specific heat capacity, the unit is J/kg.K, tau is the time for generating internal heat generation by the polar coordinate three-dimensional heat conduction model at the first temperature sensor, and phi is the heat generation rate of the internal heat generation at the first temperature sensor under the polar coordinate three-dimensional heat conduction model; the T is1The temperature at the first temperature sensor under the polar coordinate three-dimensional heat conduction model is obtained; the a, the b and the c respectively represent the heat conducted in the directions of an x axis, a y axis and a z axis of the polar coordinate three-dimensional heat conduction model at the first temperature sensor;
2) the heat transfer time rate of the heat flow q through the material of the first temperature sensor is proportional to the negative temperature gradient and area according to the fourier heat conduction law:
wherein q is a heat flow acting on the first temperature sensor and has a unit of W/m2(ii) a The lambda is the heat conductivity coefficient and the unit is W/m.K;
3) constructing a model of no internal heat generation at the first temperature sensor under a steady state, and when the heat flow q in the step 2) is vertical heat flow l1Then, the temperature of the core body of the first temperature sensor is obtained
Wherein c is [0, l ]1]Denotes that the c-axis is the vertical heat flow l1The conduction direction of (c);
4) according to the heat flow q in the vertical direction obtained in the step 2) and the temperature of the core body of the first temperature sensor in the step 3)
Constructing a heat transfer rate psi calculation model:
wherein the content of the first and second substances,
wherein R is1Refers to thermal resistance, and Δ T is the temperature difference along the z-axis;
5) according to the temperature T detected by the heat flow 1 from the deep tissue to the surface of the skin and subcutaneous tissue layers after heat balance1And the temperature T detected by the heat flow 2 from the skin and subcutaneous tissue layers to the probe surface2With the same assumptions, the following computational model was constructed:
6) repeating said steps 1) -5), reacting said T1Is replaced with the T3Said T is2Is replaced with the T4Said R is1Is replaced with the R2Said l1Is replaced with the l2Said T is1Is replaced by T2The T is2Calculating the temperature of the second temperature sensor core under the polar coordinate three-dimensional heat conduction model
Further, said T1And said T2The thermal radiation that conforms to the top and periphery of the temperature sensor sharing the same boundary conditions is subject to boundary condition restrictions according to newton's law of cooling and stefan-boltzmann's law:
the T isairIs the temperature in air; the T is the T1Or said T2To said T1And said T2Carry out unified representation, eb(. o) is Stefan-Boltzmann, σ is the Stefan-Boltzmann constant, ε is the radiation coefficient of the black body in the Stefan-Boltzmann law, and h is the convective heat transfer coefficient of the substance in Newton's law of cooling.
The invention has the beneficial effects that:
1. the application provides a dress that possesses wireless transmission function passes through with people's body temperature noninductive detecting systemRespectively arranging a first temperature sensor and a second temperature sensor, and further respectively establishing a first heat flow channel for detecting the core body temperature of the skin of the area
And establishing a second thermal flow path to detect the core temperature of the skin in the region
Preventing direct transverse heat exchange when temperatures at different locations are detected, and then separately comparing the temperatures of the two detected cores
And
active noise elimination is carried out, the influence of the external environment temperature on the skin area is eliminated, and the detected central temperature T of the skin area in the subsequent stepcoreThe calculation of (1) further improves the accuracy, and the temperature T of the skin close to the part containing the two heat flow channels is calculated after the two heat flow channels are established to detect the respective core temperatures1、T3And a skin side temperature T2、T4The calculation parameter K of the central temperature of the detected skin area avoids inaccurate detected parameters after heat exchange of the two heat flow sensors, and further avoids the final detection of the T of the central temperature of the detected skin areacoreIs inaccurate.
2. The application provides a filtering module who possesses among wearing of wireless transmission function and use people's body temperature noninductive detecting system adopts the algorithm right first temperature sensor core temperature
And the second temperature sensor core temperature
Active noise elimination is carried out to respectively obtain
And
the damaged temperature signal d (n) is input through a low-pass filter in the filtering module to be used as an adjusting value, an output signal y (n) with active noise eliminated is further obtained, and after the output signal y (n) passes through the adjustable digital filtering module, the output signal y (n) is continuously fallen down and updated through an adjustable weight coefficient w (i) of the self-adaptive filter with the lowest mean square mean, so that the core temperature of the first temperature sensor, which is caused by the temperature of the external environment, is most accurately obtained and eliminated
Calculating and comparing the core temperature of the second temperature sensor
The noise influence further increases the T of the detected skin area center temperaturecoreAccuracy and precision.
3. The application provides a first temperature sensor and second temperature sensor among wearing with people's body temperature noninductive detecting system who possesses wireless transmission function through the temperature of the skin department of hugging closely that detects and the temperature of keeping away from the skin side, construct three-dimensional heat conduction model of polar coordinate, according to Fourier's heat conduction law, construct the model and the heat transfer rate calculation model that first temperature sensor department does not produce inside heat under the steady state, the distance that the temperature sensor is close to the skin side is the heat flow conduction route, calculate the vertical direction heat flow and the heat transfer rate of this temperature conduction ware, and then can calculate the core temperature of this sensor in this temperature sensor detection area that obtains this temperature sensor detection, carry out follow-up calculation again, can accurately calculate the core temperature detection of this temperature sensor position through this algorithm, reduced the instrument and opened the initial time that the sensor adaptation body temperature that obtains this regional human body temperature required initial of final detection and the area was suitable for the condition brought such as body temperature The situation of long time occurs.
4. By mixing T1And said T2The thermal radiation that conforms to the top and periphery of the temperature sensor sharing the same boundary conditions is boundary condition limited according to newton's law of cooling and stefan-boltzmann's law, taking into account the convective heat flow at the top of the skin and subcutaneous tissue layers and the radiation of the surface to the environment, further reducing the occurrence of the temperature sensor detecting far away from the skin side affected by the ambient temperature when the temperature sensor detects, by the convenient conditional limits of the two laws, because the skin is normally exposed to the environment.
Drawings
The invention will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings.
Wherein:
fig. 1 is a schematic view of a structural module of a wearable human body temperature non-inductive detection system with a wireless transmission function provided by the invention;
FIG. 2 is a schematic diagram of a first temperature sensor and a second temperature sensor in a system for detecting temperature on skin and subcutaneous tissue layers of a human body in accordance with the present invention;
fig. 3 is a structure and a flowchart of active noise cancellation performed by a filtering module in the wearable human body temperature non-inductive detection system with a wireless transmission function according to the present application.
Detailed description of the preferred embodiments
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the wearable human body temperature non-inductive detection system with a wireless transmission function provided by the invention comprises a first temperature sensor, a second temperature sensor, a main control module, a filtering module, a wireless communication module, a cloud storage module and an energy consumption management module;
as shown in fig. 2, the thickness of the first temperature sensor coincides with the thickness of the second temperature sensor; the first temperature sensor and the second temperature sensor are used as temperature probes and are tightly attached to the skin and the subcutaneous tissue layer of the human body, the thickness of the first temperature sensor is larger than that of the second temperature sensor, and the thermal resistance value of the first temperature sensor is R1The thermal resistance value of the second temperature sensor is R2；
The second temperature sensor and the skin and subcutaneous tissue layer of the human body form a second heat flow channel, and the thickness of the skin and the subcutaneous tissue layer of the human body is l0A thermal resistance value of RSThe first temperature sensor detects that the temperature close to the skin side of the human body is T1The temperature far away from the skin side of the human body is T2The thickness of the first temperature sensor is l1(ii) a The second temperature sensor detects that the temperature close to the skin side of the human body is T3The temperature far away from the skin side of the human body is T4The thickness of the second temperature sensor is l2(ii) a The top and periphery of the temperature sensor share the same thermal radiation with the boundary conditions;
the non-inductive detection by human body temperature comprises the following steps:
s1: t obtained through detection of first heat flow channel1、T2Calculating to obtain the core temperature of the first temperature sensor
Through the second heat flow channel T3、T4Calculating to obtain the core temperature of the second temperature sensor
Temperature of first temperature sensor core body through filtering module
And second temperature sensor core temperature
Active noise cancellation to reduce ambient temperature fluctuation versus detectedObtaining the temperature of the first temperature sensor chip after the active noise is eliminated
And second temperature sensor chip temperature after active cancellation
S2: temperature of first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
Calculating the center temperature T of the detected skin areacore。
The first temperature sensor and the second temperature sensor prevent direct cross-heat exchange that detects temperatures at different locations.
The filtering module comprises a parameter adjustable digital filtering module, a least mean square self-adaptive filter and a low-pass filter. S1 step, the filter module is used for filtering the core temperature of the first temperature sensor
And second temperature sensor core temperature
The process of performing active noise cancellation, as shown in fig. 3, includes the following steps:
s11: detected by the first temperature sensor
And detected by a second temperature sensor
Initial fluctuating input signal x (n) as a function of ambient temperatureAn adjustable digital filtering module and a least mean square self-adaptive filter are input;
s12: inputting a damaged temperature signal d (n) through a low-pass filter to be used as an adjusting value, and adjusting an initial fluctuation signal through an input value least mean square adaptive filter to obtain an output signal y (n) after active noise elimination:
wherein i is 1,2 …, n;
where w (i) is the adjustable weight coefficient of the least mean square adaptive filter:
w(i+1)＝w(i)-2μe(i)x(i)；
e (i) d (i) -y (i), when e (i) is minimum, optimizing the least mean square adaptive filter;
s13: continuously iterating and updating each cycle of the output signal y (n) with the active noise eliminated input value adjustable digital filtering module through w (i) until the filtering module outputs the output signal with the active noise eliminated in the effective range, and stopping iteration and updating the cycle;
obtaining the temperature of the first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
The skin area center temperature T detected in step S2coreThe calculation formula of (a) is as follows:
k is a calculation parameter of the central temperature of the detected skin area.
The formula for K is as follows:
further, T obtained by the first heat flow path detection in step S11、T2Calculating to obtain the core temperature of the first temperature sensor
The calculation method comprises the following steps:
1) constructing a polar coordinate three-dimensional heat conduction model at the first temperature sensor:
wherein rho is the element density and the unit is kg/m3) C is specific heat capacity, the unit is J/kg.K, tau is the time for generating internal heat generation by the polar coordinate three-dimensional heat conduction model at the first temperature sensor, and phi is the heat generation rate of the internal heat generation at the first temperature sensor under the polar coordinate three-dimensional heat conduction model; t is1The temperature of the first temperature sensor under the polar coordinate three-dimensional heat conduction model is obtained; a. b and c respectively represent the heat conducted in the directions of the x axis, the y axis and the z axis of the polar coordinate three-dimensional heat conduction model at the first temperature sensor;
2) according to the fourier heat conduction law, the heat transfer time rate of the heat flow q through the material of the first temperature sensor is proportional to the negative temperature gradient and the area:
wherein q is the heat flow acting on the first temperature sensor and has the unit of W/m2(ii) a Lambda is the thermal conductivity coefficient, and the unit is W/m.K;
3) constructing a model of no internal heat generation at the first temperature sensor under a steady state, and when the heat flow q in the step 2) is vertical heat flow l1Then, the temperature of the core body of the first temperature sensor is obtained
Wherein c is [0, l ]1]Indicating that the c-axis is the vertical heat flow l1The conduction direction of (c);
4) according to the heat flow q in the vertical direction obtained in the step 2) and the core temperature of the first temperature sensor in the step 3)
Constructing a heat transfer rate psi calculation model:
wherein the content of the first and second substances,
wherein R is1Is referred to as thermal resistance,. DELTA.T1Is the temperature difference along the z-axis;
5) according to the temperature T detected by the heat flow 1 from the deep tissue to the surface of the skin and subcutaneous tissue layers after heat balance1And the temperature T detected by the heat flow 2 from the skin and subcutaneous tissue layers to the probe surface2With the same assumptions, the following computational model was constructed:
6) repeating steps 1) -5), adding T1Is replaced by T3，T2Is replaced by T4，R1Is replaced by R2，l1Is replaced by l2，T1Is replaced by T2T2Calculating the temperature of the second temperature sensor core under the polar coordinate three-dimensional heat conduction model
T1And T2The thermal radiation that meets the temperature sensor's top and periphery sharing the same boundary conditions is conditioned according to newton's law of cooling and stefan-boltzmann's law of boundary conditions:
Tairis the temperature in air; t is T1Or T2To T1And T2Carry out unified representation, eb(. o.) is Stefan-Boltzmann, σ is the Stefan-Boltzmann constant, ε is the radiation coefficient of the black body in the Stefan-Boltzmann law, and h is the convective heat transfer coefficient of the substance in Newton's law of cooling.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the embodiments can be combined in any way as long as there is no structural conflict. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
It should be noted that, the system provided in the foregoing embodiment is only illustrated by dividing the functional modules, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not to be construed as unduly limiting the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes and related descriptions of the storage device and the processing device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of skill in the art would appreciate that the various illustrative modules, method steps, and modules described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that programs corresponding to the software modules, method steps may be located in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The terms "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing or implying a particular order or sequence.
The terms "comprises," "comprising," or any other similar term are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (6)
1. A human body temperature non-inductive detection system with a wireless transmission function for wearing is characterized by comprising a first temperature sensor, a second temperature sensor, a main control module, a filtering module, a wireless communication module, a cloud storage module and an energy consumption management module;
the first temperature sensor and the second temperature sensor are used as temperature probes and are tightly attached to the skin and the subcutaneous tissue layer of a human body, the thickness of the first temperature sensor is larger than that of the second temperature sensor, and the thermal resistance value of the first temperature sensor is R1The thermal resistance value of the second temperature sensor is R2；
The first temperature sensor and the skin and the subcutaneous tissue layer of the human body form a first heat flow channel, the second temperature sensor and the skin and the subcutaneous tissue layer of the human body form a second heat flow channel, and the thickness of the skin and the subcutaneous tissue layer of the human body is l0A thermal resistance value of RSThe first temperature sensor detects that the temperature close to the skin side of the human body is T1The temperature far away from the skin side of the human body is T2The thickness of the first temperature sensor is l1(ii) a The second temperature sensor detects that the temperature close to the skin side of the human body is T3The temperature far away from the skin side of the human body is T4The thickness of the second temperature sensor is l2(ii) a Top and periphery of the temperature sensor sharing with boundary conditionsThe same heat radiation;
the non-inductive detection by the human body temperature comprises the following steps:
s1: t obtained through detection of first heat flow channel1、T2Calculating to obtain the core temperature of the first temperature sensor
Through the second heat flow channel T3、T4Calculating to obtain the core temperature of the second temperature sensor
The temperature of the core body of the first temperature sensor is measured by the filtering module
And the second temperature sensor core temperature
Active noise elimination is carried out to reduce the influence of environment temperature fluctuation on the detected temperature, and the temperature of the first temperature sensor chip after the active noise elimination is obtained
And second temperature sensor chip temperature after active cancellation
S2: temperature of first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
Calculating the center temperature T of the detected skin areacore，
The first and second temperature sensors prevent direct cross-heat exchange that detects temperatures at different locations;
t obtained by the first heat flow channel detection in the step S11、T2Calculating to obtain the core temperature of the first temperature sensor
The calculation method comprises the following steps:
1) constructing a polar coordinate three-dimensional heat conduction model at the first temperature sensor:
wherein rho is the element density and the unit is kg/m3) C is specific heat capacity and has the unit of J/kg.K, tau is the time for generating internal heat generation by a polar coordinate three-dimensional heat conduction model at the first temperature sensor, and
is the heat generation rate of the interior of the first temperature sensor under a polar coordinate three-dimensional heat conduction model; the T is1The temperature at the first temperature sensor under the polar coordinate three-dimensional heat conduction model is obtained; the a, the b and the c respectively represent the heat conducted in the directions of an x axis, a y axis and a z axis of the polar coordinate three-dimensional heat conduction model at the first temperature sensor;
2) the heat transfer time rate of the heat flow q through the material of the first temperature sensor is proportional to the negative temperature gradient and area according to the fourier heat conduction law:
wherein q is a heat flow acting on the first temperature sensor and has a unit of W/m2(ii) a The lambda is the heat conductivity coefficient and the unit is W/m.K;
3) constructing a model of no internal heat generation at the first temperature sensor under a steady state, and when the heat flow q in the step 2) is vertical heat flow l1Then, the temperature of the core body of the first temperature sensor is obtained
Wherein c is [0, l ]1]Showing that the z axis of the polar coordinate three-dimensional heat conduction model is vertical heat flow l1The conduction direction of (c);
4) according to the heat flow q in the vertical direction obtained in the step 2) and the temperature of the core body of the first temperature sensor in the step 3)
Constructing a heat transfer rate psi calculation model:
wherein the content of the first and second substances,
wherein R is1Is a thermal resistance value of the first temperature sensor, the Δ T is a temperature difference along the z-axis;
5) according to the temperature T detected by the heat flow 1 from the deep tissue to the surface of the skin and subcutaneous tissue layers after heat balance1And the temperature T detected by the heat flow 2 from the skin and subcutaneous tissue layers to the probe surface2With the same assumptions, the following computational model was constructed:
6) repeating said steps 1) -5), reacting said T1Is replaced with the T3Said T is2Is replaced with the T4Said R is1Is replaced with the R2Said l1Is replaced with the l2Said T is1Is replaced by T2The T is2Calculating the temperature of the second temperature sensor core under the polar coordinate three-dimensional heat conduction model
2. The system for detecting the temperature noninductivity of the human body for wearing with the wireless transmission function according to claim 1, wherein the filtering module comprises a parameter-adjustable digital filtering module, a least mean square adaptive filter and a low-pass filter.
3. The system according to claim 2, wherein the filtering module is configured to measure the core temperature of the first temperature sensor in a non-inductive manner
And the second temperature sensor core temperature
A process for performing active noise cancellation comprising the steps of:
s11: detected by the first temperature sensor
And detected by the second temperature sensor
Inputting an initial fluctuation input signal x (n) which is influenced by the ambient temperature into the adjustable digital filtering module and the least mean square adaptive filter;
s12: inputting a damaged temperature signal d (n) through the low-pass filter, and taking the damaged temperature signal d (n) as an adjusting value, wherein the input value is the least mean square adaptive filter for adjusting the initial fluctuation input signal x (n), so as to obtain an output signal y (n) after active noise elimination:
wherein, i is 1,2, n;
wherein w (i) is an adjustable weight coefficient of the least mean square adaptive filter:
w(i+1)＝w(i)-2μe(i)x(i)；
said e (i) ═ d (i) -y (i), when said e (i) is minimum, said least mean square adaptive filter is optimized;
s13: inputting the output signal y (n) after the active noise is eliminated into the adjustable digital filtering module, and updating each cycle through continuous iteration of the w (i) until the filtering module outputs the output signal with the active noise eliminated to be within an effective range, and stopping iteration and updating the cycle;
obtaining the temperature of the first temperature sensor chip after active noise elimination
And second temperature sensor chip temperature after active cancellation
4. The method of claim 1The system for detecting the temperature of the human body for wearing having a wireless transmission function, wherein the central temperature T of the skin area detected in the step S2coreThe calculation formula of (a) is as follows:
and K is a calculation parameter of the central temperature of the detected skin area.
5. The system for detecting the temperature insensibility of a human body for wearing having a wireless transmission function according to claim 4, wherein the K is calculated by the following formula:
6. the system according to claim 1, wherein the T is a body temperature non-inductive detection system for wearing with wireless transmission function1And said T2The thermal radiation that conforms to the top and periphery of the temperature sensor sharing the same boundary conditions is subject to boundary condition restrictions according to newton's law of cooling and stefan-boltzmann's law:
the T isairIs the temperature in air; the T is the T1Or said T2To said T1And said T2Carry out unified representation, eb(. is a Stefan-Boltzmann constant, σ is a Stefan-Boltzmann constantAnd ε is the radiation coefficient of black body in Stefan-Boltzmann law, and h is the convective heat transfer coefficient of matter in Newton's law of cooling.
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