CN111623895B - Body temperature measuring device - Google Patents

Body temperature measuring device Download PDF

Info

Publication number
CN111623895B
CN111623895B CN202010617161.0A CN202010617161A CN111623895B CN 111623895 B CN111623895 B CN 111623895B CN 202010617161 A CN202010617161 A CN 202010617161A CN 111623895 B CN111623895 B CN 111623895B
Authority
CN
China
Prior art keywords
temperature
inflection point
value
body temperature
derivative
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010617161.0A
Other languages
Chinese (zh)
Other versions
CN111623895A (en
Inventor
张伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Sensylink Microelectronics Co ltd
Original Assignee
Shanghai Sensylink Microelectronics Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Sensylink Microelectronics Co ltd filed Critical Shanghai Sensylink Microelectronics Co ltd
Priority to CN202010617161.0A priority Critical patent/CN111623895B/en
Publication of CN111623895A publication Critical patent/CN111623895A/en
Application granted granted Critical
Publication of CN111623895B publication Critical patent/CN111623895B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G01K7/01Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using semiconducting elements having PN junctions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K2219/00Thermometers with dedicated analog to digital converters

Abstract

The invention relates to a body temperature measuring device in the technical field of body temperature measurement, comprising a triode array, an analog-digital converter, a temperature prediction processing unit and a controllerA system and storage register; the collected temperature is converted into a voltage signal V by the triode array0(ii) a The analog-digital converter compares the voltage signal V0And a reference voltage VREFAcquiring temperature digital code stream DST(ii) a The temperature prediction processing unit is used for predicting the temperature digital code stream DSTFiltering to obtain real-time temperature, and obtaining predicted temperature P (T) through inflection point temperature; the control and storage register is used for controlling the temperature measurement rate and storing the collected temperature sequence. The invention utilizes the first derivative of the temperature to obtain the inflection point of the temperature, thereby accurately predicting the final stable temperature value and effectively solving the problem of long measurement time of the contact-type COMS temperature sensor.

Description

Body temperature measuring device
Technical Field
The invention relates to the technical field of body temperature measurement, in particular to a body temperature measuring device, and particularly relates to a low-power-consumption body temperature rapid measuring device.
Background
The manner in which temperature sensors measure is generally divided into two categories: one by means of a contactless infrared measuring sensor and the other by means of a semiconductor contact CMOS measuring sensor. The infrared type sensor has a short measurement time, but has poor accuracy, is easily affected by the external ambient temperature, and generally requires an ambient temperature higher than 18 ℃. Therefore, an additional temperature sensor is required to measure the ambient temperature, and the cost is higher for further correction. The contact CMOS temperature sensor has the advantage of high precision, but the measurement time is long, and the requirements of a certain scene cannot be met.
The prior art searches and discovers that the Chinese patent publication No. CN105286812B discloses a body temperature measuring method and a body temperature measuring device. Because in the earlier stage of temperature rise, the temperature rise is faster, in the process, the effect on the temperature rise is larger and the influence of the equipment on the probe is smaller gradually, and in the later stage of temperature rise, the influence of the equipment on the probe is larger gradually, and the influence of the human body temperature on the probe is larger gradually. The formula relates to a fitting method, and a decimal process using logarithm and exponent has a large error on the processed result.
Disclosure of Invention
In view of the shortcomings of the prior art, it is an object of the present invention to provide a body temperature measuring device.
The body temperature measuring device provided by the invention comprises a triode array, an analog-digital converter, a temperature prediction processing unit and a control and storage register;
the collected temperature is converted into a voltage signal V by the triode array0
The analog-digital converter compares the voltage signal V0And a reference voltage VREFAcquiring temperature digital code stream DST
The temperature prediction processing unit is used for predicting the temperature digital code stream DSTFiltering to obtain real-time temperature, and obtaining predicted temperature P (T) through inflection point temperature;
the control and storage register is used for controlling the temperature measurement rate and storing the collected temperature sequence.
In some embodiments, the temperature prediction processing unit is used for temperature digital code stream DSTThe filtering processing steps are as follows:
s1, consecutive N1Secondary temperature measurement, if the temperature continuously rises, a prediction algorithm is triggered, otherwise, a measured value is output as a final value of the predicted temperature P (T);
s2, starting a prediction algorithm, and selecting N2Individual temperature value, by first derivative K of the temperature change before the point of inflectioniObtaining inflection point temperature value TiThe method comprises the following steps:
Figure BDA0002564175060000021
wherein, TiAs inflection point temperature value, Ti-1A pre-inflection temperature value, TCRThe rate of temperature measurement;
s3, calculating the predicted temperature P (T), wherein the method comprises the following steps:
P(T)=Ti+∑i=0..NA1(Ki-MKi)+A2(Ti-Tc) (2)
wherein, TiA temperature value of inflection point, KiAs the first derivative of the temperature change before the inflection point, MKiThe first derivative of normal body temperature before inflection point, TcInflection point temperature value of normal body temperature, A1Coefficient of temperature fast rise region, A2Is the temperature ramp zone coefficient.
In some embodiments, in step S1, N is consecutive1In the secondary temperature measurement, N1The number of (2) is 4 to 16.
In some embodiments, in step S2, the first derivative K of the temperature change before the inflection pointiObtaining inflection point temperature value T at 1 ℃/si
In some embodiments, in step S2, N is selected2First derivative K of temperature change before inflection point is solved at each temperature pointiOf which N is2The number of (2) is 5 to 15.
In some embodiments, in the step S2, the temperature measuring rate T isCRGreater than or equal to 20 times/second.
In some embodiments, the analog-to-digital converter realizes the temperature digital code stream DS by a Delta Sigma method and a successive approximation methodTTo output of (c).
In some embodiments, the analog-to-digital converter adopts a 14-bit Delta-SAR composite structure.
In some embodiments, the rate at which the triode array converts temperature to a voltage signal is 10ms or less.
In some embodiments, the triode array is a square array or a regular octagonal array.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the inflection point value of the temperature is obtained by utilizing the first-order derivative of the temperature, so that the final stable temperature value is accurately predicted, the aim of quickly measuring the temperature is fulfilled, and the problem of long measuring time of the contact-type COMS temperature sensor is effectively solved.
2. According to the invention, through the unique design of the analog converter, the temperature is acquired in the magnitude of millisecond, so that the magnitude of second-level temperature measurement in the prior art is broken through, the accuracy of the acquired inflection point temperature value is greatly improved, and the accuracy of the finally acquired predicted temperature value is further ensured.
3. According to the invention, the stability and consistency of the body temperature measuring device produced in batches are improved by further optimizing the structure of the triode array.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic view of the structure of a body temperature measuring device according to the present invention;
FIG. 2 is a schematic diagram of a triode array structure in the body temperature measuring device according to the present invention;
FIG. 3 is a schematic view of the temperature measurement process of the body temperature measuring device of the present invention;
FIG. 4 is a flow chart of temperature measurement of the body temperature measuring device of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example 1
As shown in fig. 1-4, the body temperature measuring device provided by the invention obtains the inflection point value of the temperature by using the first derivative of the temperature, thereby accurately predicting the final stable temperature value, achieving the purpose of rapid temperature measurement, and effectively solving the problem of long measurement time of the contact-type cmos temperature sensor. Specifically, the method comprises the following steps:
the invention provides a body temperature measuring device which comprises a triode array, an analog-digital converter, a temperature prediction processing unit and a control and storage register. The control and storage registers have two main functions, namely a temperature measuring rate T for the control deviceCRAnd on the other hand for storing the acquired temperature sequence. The triode array is used for converting the temperature collected by the device into a voltage signal V0. Preferably, the triode array 1 converts temperature into a voltage signal V0Is less than or equal to 10ms, each timeConversion of temperature into a voltage signal V0Has a rate of TRUN. Temperature measurement rate T controlled by control and storage register 4CRIs larger than the triode array to convert the temperature into a voltage signal V0Velocity T ofRUNAnd the temperature acquired by the triode array every time is ensured to be different temperature values.
The analog-digital converter pre-stores a reference voltage V by itselfREFVoltage signal V converted and output with triode array0Comparing to obtain a temperature digital code stream DST. Preferably, the analog-digital converter obtains the temperature digital code stream DS by combining the DeltaSigma method and the successive approximation methodT. The specific process is as follows:
in the stage of the Delta Sigma method, the voltage signal V of the current period is acquired0If greater than 0, the analog circuit voltage V 'of the next cycle'0=V0-VREFTemperature digital code stream DSTOutputting 1; collected voltage signal V of current period0If less than or equal to 0, the analog circuit voltage V 'of the next cycle'0=V0+VREFSimultaneous digital code stream DSTOutputting 0; after M cycles, the voltage margin Δ V is obtained, which is close to zero. Preferably, the value of M in the M periods is preferably between 1200 and 1500, and particularly preferably, the value of M is 1388, 1400 or 1480, which is more effective.
At the stage of successive approximation method, Δ V and V are addedREF/2,VREF/4,VREF/8,V REF16 sequential comparison, if Δ V is greater than VREFM, then temperature digital code stream DSTOutput 1, voltage margin of next period Δ V ═ Δ V-VREF/M, otherwise, temperature digital code stream DSTAnd outputting 0, Δ V ═ Δ V. And (3) obtaining a temperature value through multiple successive approximation processing, preferably 5-8 times, and preferably 5 times of successive approximation processing, and storing the temperature value in a temperature register in the control and storage register 4.
Temperature digital code stream DS output by temperature prediction processing unit to analog-digital converterTFiltering to obtain predicted temperature P (T), and outputting and displaying the predicted temperature P (T) as finally measured body temperature data, wherein the processing method comprises the following steps:
s1, consecutive N1Secondary temperature measurement, setting temperature measurement rate T by controlling and storing register according to power consumption requirementCROf (d), preferably, the temperature measurement rate TCRThe value of (A) is equal to or greater than 20 times/second, and is optionally 100 times/second, 64 times/second, 32 times/second or 20 times/second. Temperature measurement rate TCRThe larger the value of (a), the faster the temperature rate obtained, and the temperature measurement time of the device as a whole can be shortened. If the temperature is found to rise continuously, the temperature prediction algorithm is triggered, otherwise, if the temperature rises continuously, N1After secondary temperature measurement, if the temperature does not change any more after rising and a stable temperature value is kept, the stable temperature value is output as a final value of the predicted temperature P (T). Preferably, N is continuous1In the secondary temperature measurement, N1The value of (A) is preferably 4 to 16, and 4 consecutive thermometry, 8 consecutive thermometry or 16 consecutive thermometry may be performed.
S2, when the body temperature is actually measured, the body temperature is normally about 36 ℃, and when fever occurs, the body temperature is higher than 36 ℃. In contact measurement, the rise of the temperature sensor goes through two phases: the first stage is a rapid temperature rise zone; the second stage is a temperature equilibrium slow rising region, so that the first derivative K of the temperature change before the inflection point can be obtainedi. As shown in FIG. 3, the curve of the rising "o" is a normal body temperature curve, the latter slowly rising region is long, and the former rapidly rising region is fast, whereby a first derivative curve of the body temperature change by the curve of the "□" is obtained. In the sequence of N1After a second measurement, for example 4 consecutive measurements, the temperature is found to be continuously increasing, and a prediction algorithm is triggered, which first selects N from the control and storage register 42Obtaining inflection point temperature value T by first derivativeiOf which N is2Preferably in the range of 5 to 15, specifically solved by the following formula:
Figure BDA0002564175060000041
wherein, KiAs the first derivative of the temperature change before the inflection point, TiAs inflection point temperature value, Ti-1A pre-inflection temperature value, TCRThe temperature measurement rate.
According to a large number of experiments, the first derivative of the temperature change before the inflection point is defined as dTiWhen the temperature is 1 ℃/s, the obtained inflection point temperature value T isiThe finally obtained predicted temperature P (T) value can be basically consistent with the actual temperature value of the human body.
S3, using the inflection point temperature value TiThe predicted temperature p (t) can be further obtained by the following formula:
P(T)=Ti+∑i=0..NA1(Ki-MKi)+A2(Ti-Tc) (2)
wherein, TiA temperature value of inflection point, KiAs the first derivative of the temperature change before the inflection point, MKiThe first derivative of normal body temperature before inflection point, TcInflection point temperature value of normal body temperature, A1Coefficient of temperature fast rise region, A2Is the temperature ramp-up coefficient, and N is the number of acquired temperature values.
Among them, the first derivative MK of the normal body temperature before the inflection pointiNormal body temperature inflection point temperature value TcCoefficient of temperature fast rising zone A1And a coefficient A of temperature ramp-up region2All the temperature prediction processing units are preset and are known items. Preferably, A1When the root is equal to 0.026, its A20.000748, or A1When the value is 0.037, the compound A2=-0.00128;MKiPreferably 5 degrees/second, 3 degrees/second or 2 degrees/second. T iscPreferably 31 ℃, 32 ℃ or 33 ℃.
After the predicted temperature P (T) is obtained by the temperature prediction processing unit, the temperature value is calculated by using an S-Wire bus protocol of a single pin P0, or by using I2C of pins P0 and P1, an SMBus bus or by using SPI bus outputs of pins P0, P1 and P2.
In the present invention, the triode array converts temperature into voltageSignal V0Is 10ms, the control and storage register controls the temperature measurement rate TCRAt 100 times/sec, within 3 seconds of contact, there are 300 temperature sequences for predicting the final temperature, and the final stable temperature value, i.e., the predicted temperature p (t), can be obtained in a short time.
According to the method, the influence parameters of different temperature rise periods on the temperature rise are calculated according to the preset formula, the corresponding stable temperatures are respectively predicted according to the influence parameters corresponding to the different temperature rise periods, and the final stable temperature is further calculated. The invention considers that the parameters influencing the temperature are different in different temperature rising periods, so that the error of the prediction result is smaller.
Example 2
This embodiment 2 is formed on the basis of embodiment 1, and further improves the rate and accuracy of temperature prediction by further optimizing the mode converter. Specifically, the method comprises the following steps:
the ADC 2 preferably has a 14-bit Delta-SAR complex structure, which may be at TRUNA temperature value with an accuracy of 0.015625 degrees is obtained in 10 ms. The operating current was 30uA, 40uA or 50 uA.
According to fig. 3, the rising curve of "is the normal body temperature curve, the slow rising zone behind is long and the fast rising zone in front is fast, so that a fast analog-to-digital converter is important. The design of the fast and high-precision analog converter provided in this embodiment 2 enables the temperature to be acquired in millisecond order, thereby breaking through the second order of temperature measurement in the prior art, and greatly improving the acquired inflection point temperature value TiThe accuracy of the temperature value is further ensured, and the accuracy of the finally obtained predicted temperature value is further ensured.
Example 3
This embodiment 3 is based on embodiment 1 or embodiment 2, and mainly improves the stability and consistency of mass production of body temperature measuring devices by further optimizing the structure of the triode array. Specifically, the method comprises the following steps:
the triode array 1 is preferably a square array or a regular octagonal array. When the triode array 1 is a square array, the side length of each triode is 5um, and the distance between every two square triodes is 1 um; when the triode array 1 is a regular octagon array, the side length of each triode is 8um, and the center distance between every two octagons is 2 um. The design can ensure good consistency of each chip of mass production chips, improve the stability of the body temperature measuring device and improve the product quality.
In conclusion, the inflection point of the temperature is obtained by utilizing the first-order derivative of the temperature, so that the final stable temperature value is accurately predicted, the aim of quickly measuring the temperature is fulfilled, and the problem of long measuring time of the COMS temperature sensor is effectively solved; according to the invention, through the unique design of the analog converter, the temperature is acquired in the magnitude of millisecond, so that the magnitude of second-level temperature measurement in the prior art is broken through, the accuracy of the acquired inflection point temperature value is greatly improved, and the accuracy of the finally acquired predicted temperature value is further ensured; the stability of the body temperature measuring device is improved by further optimizing the structure of the triode array.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (9)

1. A body temperature measuring device is characterized by comprising a triode array, an analog-digital converter, a temperature prediction processing unit and a control and storage register;
the collected temperature is converted into a voltage signal V by the triode array0
The analog-digital converter compares the voltage signal V0And a reference voltage VREFAcquiring temperature digital code stream DST
The temperature prediction processing unit is used for predicting the temperature digital code stream DSTFiltering to obtain real-time temperature, and obtaining predicted temperature P (T) through inflection point temperature;
the control and storage register is used for controlling the temperature measurement rate and storing the acquired temperature sequence;
the temperature prediction processing unit is used for predicting the temperature digital code stream DSTThe filtering processing steps are as follows:
s1, consecutive N1Secondary temperature measurement, if the temperature continuously rises, a prediction algorithm is triggered, otherwise, a measured value is output as a final value of the predicted temperature P (T);
s2, starting a prediction algorithm, and selecting N2Individual temperature value, by first derivative K of the temperature change before the point of inflectioniObtaining inflection point temperature value TiThe method comprises the following steps:
Figure FDA0003225544620000011
wherein, TiAs inflection point temperature value, Ti-1A pre-inflection temperature value, TCRThe rate of temperature measurement;
s3, calculating the predicted temperature P (T), wherein the method comprises the following steps:
P(T)=Ti+∑i=0..NA1(Ki-MKi)+A2(Ti-Tc) (2)
wherein,TiA temperature value of inflection point, KiAs the first derivative of the temperature change before the inflection point, MKiThe first derivative of normal body temperature before inflection point, TcInflection point temperature value of normal body temperature, A1Coefficient of temperature fast rise region, A2Is the temperature ramp-up coefficient, and N is the number of acquired temperature values.
2. The body temperature measurement device according to claim 1, wherein in the step S1, N is consecutive1In the secondary temperature measurement, N1The number of (2) is 4 to 16.
3. The body temperature measurement device of claim 1, wherein the first derivative K of the pre-inflection temperature change in step S2iObtaining inflection point temperature value T at 1 ℃/si
4. The body temperature measurement device according to claim 3, wherein in the step S2, N is selected2First derivative K of temperature change before inflection point is solved at each temperature pointiOf which N is2The number of (2) is 5 to 15.
5. The body temperature measurement device according to claim 1, wherein in the step S2, the temperature measurement rate T isCRGreater than or equal to 20 times/second.
6. The device of claim 1, wherein the analog-to-digital converter implements a temperature digital code stream DS by a Delta Sigma method and a successive approximation methodTTo output of (c).
7. The body temperature measurement device of claim 6, wherein the analog-to-digital converter is a 14-bit Delta-SAR complex.
8. The body temperature measurement device of claim 1, wherein the rate at which the triode array converts temperature to a voltage signal is 10ms or less.
9. The body temperature measurement device of claim 8, wherein the triode array is a square array or a regular octagonal array.
CN202010617161.0A 2020-06-30 2020-06-30 Body temperature measuring device Active CN111623895B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010617161.0A CN111623895B (en) 2020-06-30 2020-06-30 Body temperature measuring device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010617161.0A CN111623895B (en) 2020-06-30 2020-06-30 Body temperature measuring device

Publications (2)

Publication Number Publication Date
CN111623895A CN111623895A (en) 2020-09-04
CN111623895B true CN111623895B (en) 2021-11-23

Family

ID=72259463

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010617161.0A Active CN111623895B (en) 2020-06-30 2020-06-30 Body temperature measuring device

Country Status (1)

Country Link
CN (1) CN111623895B (en)

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS61193037A (en) * 1985-02-21 1986-08-27 Sharp Corp Electronic clinical thermometer
JP2005098982A (en) * 2003-08-21 2005-04-14 Omron Healthcare Co Ltd Electronic clinical thermometer
US7318004B2 (en) * 2005-04-01 2008-01-08 Cardinal Health 303, Inc. Temperature prediction system and method
US8185341B2 (en) * 2008-05-30 2012-05-22 Medisim Ltd. Surface temperature profile
JP5596323B2 (en) * 2009-09-28 2014-09-24 テルモ株式会社 Electronic thermometer and control method of electronic thermometer
CN108431566B (en) * 2015-12-21 2023-01-17 皇家飞利浦有限公司 Method for predicting stable temperature of heat flow sensor

Also Published As

Publication number Publication date
CN111623895A (en) 2020-09-04

Similar Documents

Publication Publication Date Title
WO2017113875A1 (en) Temperature prediction method and system thereof
JP6381899B2 (en) Semiconductor device design method, design support program, design device, and semiconductor device
WO2016033297A1 (en) Thermography for a thermal imaging camera
CN107609308B (en) Method and device for measuring equivalent resistance at connecting pipe of cable joint
US9448122B2 (en) Multi-point temperature sensing method for integrated circuit chip and system of the same
WO1997012310A9 (en) Digital trimming of on-chip analog components
US10879922B2 (en) Time-based, current-controlled paired oscillator analog-to-digital converter with selectable resolution
CN111623895B (en) Body temperature measuring device
Shu et al. Method of thermocouples self verification on operation place
CN109387854A (en) The distance-measuring device and method of the two steps tracking of device
US10317355B2 (en) Environmental sensor and method for measuring and predicting environmental parameters
CN114370950A (en) Temperature measuring method and device, equipment and storage medium thereof
Jovanović et al. NTC thermistor nonlinearity compensation using Wheatstone bridge and novel dual-stage single-flash piecewise-linear ADC
FR3088512B1 (en) PROCESS FOR PROCESSING AN IMAGE
US9285286B2 (en) Slew rate detection circuit
JP6851299B2 (en) Temperature measuring device
CN108195477B (en) Temperature sensor with adjustable precision and testing method
US9197236B1 (en) Digitizer auto aperture with trigger spacing
CN114385965A (en) Temperature rapid prediction method, device and equipment suitable for intelligent terminal
Volosnikov et al. Dynamic measurements error correction on the basis of neural network inverse model of a sensor
Ding et al. ATemperature ALARMING SYSTEM BASED ON AN HCS12 MICROCONTROLLER
US20220412813A1 (en) Electrical current based temperature sensor and temperature information digitizer
WO2016203625A1 (en) Temperature detection device and temperature detection program
CN115208403B (en) Successive approximation type ADC circuit, ADC converter and chip
CN114900185A (en) ADC data acquisition method of small packaged chip

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant