CN117309187A - Body temperature detection system - Google Patents
Body temperature detection system Download PDFInfo
- Publication number
- CN117309187A CN117309187A CN202311251018.4A CN202311251018A CN117309187A CN 117309187 A CN117309187 A CN 117309187A CN 202311251018 A CN202311251018 A CN 202311251018A CN 117309187 A CN117309187 A CN 117309187A
- Authority
- CN
- China
- Prior art keywords
- time
- body temperature
- subject
- data
- temperature
- 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.)
- Pending
Links
- 230000036760 body temperature Effects 0.000 title claims abstract description 389
- 238000001514 detection method Methods 0.000 title claims abstract description 54
- 230000036541 health Effects 0.000 claims abstract description 57
- 230000008859 change Effects 0.000 claims description 22
- 230000005540 biological transmission Effects 0.000 claims description 18
- 230000003862 health status Effects 0.000 claims 2
- 238000004806 packaging method and process Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 34
- 238000007726 management method Methods 0.000 description 23
- 238000000034 method Methods 0.000 description 21
- 230000002159 abnormal effect Effects 0.000 description 14
- 238000004891 communication Methods 0.000 description 10
- 230000002093 peripheral effect Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 10
- 241000283690 Bos taurus Species 0.000 description 9
- 230000001133 acceleration Effects 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 235000013365 dairy product Nutrition 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 230000003287 optical effect Effects 0.000 description 6
- YHXISWVBGDMDLQ-UHFFFAOYSA-N moclobemide Chemical compound C1=CC(Cl)=CC=C1C(=O)NCCN1CCOCC1 YHXISWVBGDMDLQ-UHFFFAOYSA-N 0.000 description 5
- 230000005856 abnormality Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 4
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 239000008267 milk Substances 0.000 description 4
- 235000013336 milk Nutrition 0.000 description 4
- 210000004080 milk Anatomy 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 2
- 239000000919 ceramic Substances 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000007906 compression Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 210000000613 ear canal Anatomy 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013497 data interchange Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 239000010409 thin film Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
- G01K13/20—Clinical contact thermometers for use with humans or animals
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Landscapes
- Public Health (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The application discloses body temperature detecting system belongs to health detection technical field. The system comprises a temperature acquisition device, a coordinator and terminal equipment, wherein the temperature acquisition device is arranged at a reference position of an object to be subjected to body temperature detection; the temperature acquisition device is used for acquiring the body temperature of the subject at the first time; the temperature acquisition device is also used for generating first data according to the object identification of the object, the body temperature of the object at the first time and the first time; the temperature acquisition device is also used for sending first data to the coordinator; the coordinator is used for receiving the first data sent by the temperature acquisition device, packaging the first data and obtaining second data; the coordinator is also used for sending second data to the terminal equipment; the terminal device is used for receiving second data sent by the coordinator, and predicting the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the second time is later than the first time. The system improves the detection efficiency of the body temperature of the subject.
Description
Technical Field
The embodiment of the application relates to the technical field of health detection, in particular to a body temperature detection system.
Background
The dairy cow breeding industry is already a supporting industry in the livestock industry in China, and along with the increase of the demands of people for milk products, the guarantee of the milk yield and the milk quality of dairy cows is particularly important. The physiological health of the dairy cows is the basis for guaranteeing the milk yield and quality of the dairy cows, and the body temperature of the dairy cows can reflect the physiological health of the dairy cows, so that a body temperature detection system is needed to detect the body temperature of the dairy cows.
Disclosure of Invention
The embodiment of the application provides a body temperature detection system. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a body temperature detection system, where the system includes a temperature acquisition device, a coordinator, and a terminal device, where the temperature acquisition device is installed at a reference position of an object to be subjected to body temperature detection;
the temperature acquisition device is used for acquiring the body temperature of the object at the first time;
the temperature acquisition device is further used for generating first data according to the object identification of the object, the body temperature of the object at a first time and the first time, wherein the first data comprises the object identification of the object, the body temperature of the object at the first time and the first time;
the temperature acquisition device is also used for sending the first data to the coordinator;
The coordinator is configured to receive the first data sent by the temperature acquisition device, encapsulate the first data, and obtain second data, where a format of the second data is different from a format of the first data, and the second data includes an object identifier of the object, a body temperature of the object at the first time, and the first time;
the coordinator is further configured to send the second data to the terminal device;
the terminal device is configured to receive the second data sent by the coordinator, and predict a body temperature of the object at a second time according to an object identifier of the object, the body temperature of the object at the first time, and the first time, where the second time is later than the first time.
In a possible implementation manner, the terminal device is configured to obtain, according to an object identifier of the object, a body temperature of the object at a third time; predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time, the third time being earlier than the first time.
In a possible implementation manner, the terminal device is configured to generate a body temperature time variation function according to a body temperature of the subject at the third time, a body temperature of the subject at the first time, and the first time; substituting the second time into the body temperature time change function to obtain the body temperature of the subject at the second time, wherein the body temperature time change function is a function of the change of the body temperature of the subject along with the time.
In a possible implementation manner, the terminal device is further configured to determine a health condition of the subject according to a body temperature of the subject at the first time and a body temperature of the subject at the second time.
In a possible implementation manner, the terminal device is configured to determine a normothermic range of the subject according to a subject identifier of the subject; and determining the health condition of the subject according to the body temperature of the subject at the first time, the body temperature of the subject at the second time and the normothermic range of the subject.
In a possible implementation manner, the terminal device is configured to determine an age of the object according to an object identifier of the object; taking a body temperature range corresponding to the age range of the age of the subject as a normal body temperature range of the subject; determining that the health condition of the subject is unhealthy based on the body temperature of the subject at the first time and any of the body temperatures of the subject at the second time not being within a normothermic range of the subject; and determining that the health condition of the subject is healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time being within the normothermic range of the subject.
In a possible implementation manner, the terminal device is further configured to send a notification message to a terminal device used by a management object of the object, where the notification message includes an object identifier of the object, where the notification message is used to inform the management object that the health condition of the object is unhealthy.
In a possible implementation manner, the terminal device is further configured to generate a body temperature time variation image according to a body temperature of the subject at the first time, a body temperature of the subject at the second time, the first time and the second time; displaying the temperature time-varying image, wherein the temperature time-varying image is an image of the change of the body temperature of the subject with time.
In a possible implementation manner, the coordinator is further configured to send a data receiving message to the temperature acquisition device, where the data receiving message is used to indicate that the coordinator has received the second data;
the temperature acquisition device is also used for receiving the data receiving message sent by the coordinator and controlling the temperature acquisition device to be in a dormant state.
In one possible implementation manner, the coordinator includes a fourth generation network 4G transparent transmission module, and the coordinator is configured to send the second data to the 4G transparent transmission module;
the 4G transparent transmission module is used for receiving the second data sent by the coordinator and sending the second data to the terminal equipment.
In another aspect, embodiments of the present application provide a method for detecting body temperature, the method including:
receiving second data sent by a coordinator, wherein the second data comprises an object identifier of an object to be subjected to body temperature detection, the body temperature of the object at a first time and the first time;
and predicting the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at a first time and the first time, wherein the second time is later than the first time.
In one possible implementation manner, the predicting the body temperature of the subject at the second time according to the subject identification of the subject, the body temperature of the subject at the first time and the first time includes:
according to the object identification of the object, acquiring the body temperature of the object at a third time, wherein the third time is earlier than the first time;
Predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time.
In one possible implementation, the predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time includes:
generating a body temperature time variation function according to the body temperature of the subject at the third time, the body temperature of the subject at the first time and the first time, wherein the body temperature time variation function is a function of the change of the body temperature of the subject along with the time;
substituting the second time into the body temperature time change function to obtain the body temperature of the subject at the second time.
In one possible implementation, the method further includes:
and determining the health condition of the subject according to the body temperature of the subject at the first time and the body temperature of the subject at the second time.
In a possible implementation manner, the determining the health condition of the subject according to the body temperature of the subject at the first time and the body temperature of the subject at the second time includes:
Determining a normothermic range of the subject according to the subject identification of the subject;
and determining the health condition of the subject according to the body temperature of the subject at the first time, the body temperature of the subject at the second time and the normothermic range of the subject.
In one possible implementation manner, the determining the normothermic range of the subject according to the subject identifier of the subject includes:
determining the age of the object according to the object identification of the object;
taking a body temperature range corresponding to the age range of the age of the subject as a normal body temperature range of the subject;
the determining the health condition of the subject according to the body temperature of the subject at the first time, the body temperature of the subject at the second time and the normothermic range of the subject comprises:
determining that the health condition of the subject is unhealthy based on the body temperature of the subject at the first time and any of the body temperatures of the subject at the second time not being within a normothermic range of the subject;
and determining that the health condition of the subject is healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time being within the normothermic range of the subject.
In one possible implementation, the method further includes:
and sending a notification message to a terminal device used by a management object of the object based on the unhealthy health condition of the object, wherein the notification message comprises an object identifier of the object, and the notification message is used for notifying the management object that the unhealthy health condition of the object.
In one possible implementation, the method further includes:
generating a time-varying image of body temperature according to the body temperature of the subject at the first time, the body temperature of the subject at the second time, the first time and the second time, wherein the time-varying image of body temperature is an image of variation of the body temperature of the subject with time;
and displaying the temperature time-varying image.
In another aspect, embodiments of the present application provide a body temperature detection device, the device comprising:
the receiving module is used for receiving second data sent by the coordinator, wherein the second data comprises an object identifier of an object to be subjected to body temperature detection, the body temperature of the object at a first time and the first time;
and the prediction module is used for predicting the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at a first time and the first time, wherein the second time is later than the first time.
In a possible implementation manner, the prediction module is configured to obtain, according to an object identifier of the object, a body temperature of the object at a third time, where the third time is earlier than the first time; predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time.
In one possible implementation, the prediction module is configured to generate a body temperature time variation function according to the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time, where the body temperature time variation function is a function of a change of the body temperature of the subject over time; substituting the second time into the body temperature time change function to obtain the body temperature of the subject at the second time.
In one possible implementation, the apparatus further includes:
and the determining module is used for determining the health condition of the object according to the body temperature of the object at the first time and the body temperature of the object at the second time.
In a possible implementation manner, the determining module is configured to determine a normothermic range of the subject according to a subject identifier of the subject; and determining the health condition of the subject according to the body temperature of the subject at the first time, the body temperature of the subject at the second time and the normothermic range of the subject.
In a possible implementation manner, the determining module is configured to determine an age of the object according to an object identifier of the object; taking a body temperature range corresponding to the age range of the age of the subject as a normal body temperature range of the subject; determining that the health condition of the subject is unhealthy based on the body temperature of the subject at the first time and any of the body temperatures of the subject at the second time not being within a normothermic range of the subject; and determining that the health condition of the subject is healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time being within the normothermic range of the subject.
In one possible implementation, the apparatus further includes:
the sending module is used for sending a notification message to a terminal device used by a management object of the object based on the health condition of the object is unhealthy, wherein the notification message comprises an object identifier of the object, and the notification message is used for notifying the management object that the health condition of the object is unhealthy.
In one possible implementation, the apparatus further includes:
a generation module, configured to generate a time-varying image of body temperature according to the body temperature of the subject at the first time, the body temperature of the subject at the second time, the first time and the second time, where the time-varying image of body temperature is an image of a variation of body temperature of the subject over time;
and the display module is used for displaying the temperature time-varying image.
In another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores at least one program code, and the at least one program code is loaded and executed by the processor, so that the computer device implements any one of the above-mentioned body temperature detection methods.
In another aspect, there is provided a computer readable storage medium having at least one program code stored therein, the at least one program code being loaded and executed by a processor to cause a computer to implement any of the above-described body temperature detection methods.
In another aspect, a computer program or computer program product is provided, in which at least one computer instruction is stored, which is loaded and executed by a processor, to cause the computer to implement any one of the above-mentioned body temperature detection methods.
The technical scheme provided by the embodiment of the application at least brings the following beneficial effects:
according to the technical scheme, the body temperature of the object at the first time is acquired through the temperature acquisition device, manual measurement is not needed, the acquisition efficiency and accuracy of the body temperature of the object are improved, and the labor cost is saved. According to the body temperature of the object at the first time, the body temperature of the object at the second time is predicted, so that the body temperature of the object can be prevented from being abnormal, the purpose of early warning in advance is achieved, and the object can be better managed. Moreover, the management object of the object can be enabled to carry out key observation on the object which is possibly abnormal, the cause of the disease can be found in time, the illness state of the object is controlled, and further economic loss is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a body temperature detection system according to an embodiment of the present application;
Fig. 2 is a flowchart of a body temperature detection method according to an embodiment of the present application;
fig. 3 is a flowchart of a body temperature detection method according to an embodiment of the present application;
fig. 4 is a flowchart of a body temperature detection method according to an embodiment of the present application;
fig. 5 is a schematic diagram of a body temperature detection system according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a body temperature detecting device according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a body temperature detection system according to an embodiment of the present application, as shown in fig. 1, the system includes: a temperature acquisition device 101, a coordinator 102 and a terminal device 103.
The temperature acquisition device 101 and the coordinator 102 are in communication connection through a wired network or a wireless network, and the coordinator 102 and the terminal device 103 are in communication connection through the wired network or the wireless network. The temperature acquisition device 101 is installed in the reference position of the object to be subjected to body temperature detection, and the distance between the temperature acquisition device 101 and the terminal equipment 103 is far, so that the temperature acquisition device 101 cannot timely send the body temperature of the object at the first time to the terminal equipment 103 after acquiring the body temperature of the object at the first time, therefore, the temperature acquisition device 101 sends the body temperature of the object at the first time to the coordinator 102 after acquiring the body temperature of the object at the first time, and the coordinator 102 sends the body temperature of the object at the first time to the terminal equipment 103, so that the terminal equipment 103 acquires the body temperature of the object at the first time, and the terminal equipment 103 predicts the body temperature of the object at the second time according to the body temperature of the object at the first time.
Alternatively, the terminal device 103 may be any electronic device product that can perform man-machine interaction with a user through one or more modes of a keyboard, a touch pad, a remote controller, a voice interaction or a handwriting device. For example, a PC (Personal Computer ), a mobile phone, a smart phone, a PDA (Personal Digital Assistant ), a wearable device, a PPC (Pocket PC, palm computer), a tablet computer, a smart car machine, a smart television, a smart sound box, a smart watch, and the like.
The terminal device 103 may refer broadly to one of a plurality of terminal devices, and the present embodiment is illustrated with the terminal device 103 only. Those skilled in the art will appreciate that the number of terminal devices 103 may be greater or lesser. For example, the number of the terminal devices 103 may be only one, or the number of the terminal devices 103 may be tens or hundreds, or more, and the number and the device type of the terminal devices 103 are not limited in the embodiment of the present application.
It will be appreciated by those skilled in the art that the above-described terminal device 103 is merely illustrative, and that other terminal devices now known or hereafter developed, as applicable, are also within the scope of the present application and are incorporated herein by reference.
The embodiment of the application provides a body temperature detection system, which comprises a temperature acquisition device, a coordinator and terminal equipment, wherein the temperature acquisition device is arranged at a reference position of an object to be subjected to body temperature detection;
the temperature acquisition device is used for acquiring the body temperature of the subject at the first time;
the temperature acquisition device is also used for generating first data according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the first data comprises the object identification of the object, the body temperature of the object at the first time and the first time;
the temperature acquisition device is also used for sending first data to the coordinator;
the coordinator is used for receiving the first data sent by the temperature acquisition device, packaging the first data to obtain second data, wherein the format of the second data is different from that of the first data, and the second data comprises an object identifier of the object, the body temperature of the object at the first time and the first time;
the coordinator is also used for sending second data to the terminal equipment;
the terminal device is used for receiving second data sent by the coordinator, and predicting the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the second time is later than the first time.
The subject to be subjected to body temperature detection may be any type of subject, and the embodiment of the present application is not limited thereto. Illustratively, the subject to be subjected to body temperature detection may be a cow. The reference location may be any location of the subject, such as the posterior ear canal of the subject. The time interval between the second time and the first time may be a fixed value or may be a variable value, which is not limited in this embodiment. Illustratively, the time interval between the second time and the first time is 2 hours. For example, the first time is 2023, 8, 28, 09:00, second time 2023, 8, 28, 11:00. the number of the second time may be one or more, which is not limited in this embodiment of the present application, and when the number of the second time is more than one, the time interval between each second time and the first time is different.
Optionally, the temperature acquisition device is a terminal module for temperature acquisition, which is formed by a DS18B20 digital temperature sensor and a CC2530 module, and the power supply of the temperature acquisition device can be a An Debang power amplifier node small-sized charger. The DS18B20 digital temperature sensor has the advantages of microminiaturization, low power consumption, high performance, strong anti-interference capability, easy configuration of a microprocessor and the like, and can measure the temperature within the range of-55-125 ℃ and realize high-precision temperature measurement. The CC2530 module has the advantages of low power consumption, high reliability, long-distance communication and the like. Illustratively, after the DS18B20 digital temperature sensor collects the temperature of the object at the first time, first data is generated according to the object identification of the object, the temperature of the object at the first time, and the CC2530 module sends the first data to the coordinator.
When a temperature acquisition device installed at a reference position of an object is in a working state, the temperature acquisition device acquires the body temperature of the object at a first time, an object identifier of the object is stored in the temperature acquisition device installed at the reference position of the object, and the temperature acquisition device generates first data according to the object identifier of the object, the body temperature of the object at the first time and the first time, wherein the first data comprises the object identifier of the object, the body temperature of the object at the first time and the first time. The object identifier of the object may be an object number, an object name, or an identifier capable of uniquely representing the object, which is not limited in the embodiment of the present application.
After the temperature acquisition device acquires the temperature of the object at the first time, first data are sent to the coordinator, after the coordinator receives the first data, the first data are packaged to obtain second data, the second data comprise the object identification of the object, the body temperature of the object at the first time and the first time, and the formats of the first data and the second data are different. The reason why the first data is encapsulated to obtain the second data is that if the coordinator directly transmits the first data to the terminal device, the terminal device cannot parse the first data in the format of the first data, and cannot monitor the body temperature of the subject, so that the first data needs to be encapsulated to obtain the second data in the format of the second data which can be parsed by the terminal device. Illustratively, the format of the second data is JSON (JavaScript Object Notation, a lightweight data interchange format) format. The coordinator sends the second data to the terminal device so that the terminal device obtains the second data. Alternatively, the coordinator is a CC2530 module.
Optionally, the process of sending the first data to the coordinator by the temperature acquisition device includes: the temperature acquisition device sends first data to the coordinator through a Zstack wireless protocol stack. The Zstack wireless protocol stack is one of ZigBee protocol stacks. For example, the CC2530 module sends the first data to the coordinator via the Zstack wireless protocol stack.
After receiving the second data, the terminal equipment analyzes the second data to obtain an object identifier of the object, the body temperature of the object at the first time and the first time, and a database is stored in the terminal equipment and is used for storing the body temperature of the object at each time. And the terminal equipment adds the body temperature of the object at the first time into the database according to the object identification of the object.
In one possible implementation manner, the terminal device is configured to obtain, according to an object identifier of the object, a body temperature of the object at a third time; predicting the body temperature of the subject at a second time based on the body temperature of the subject at a third time, the body temperature of the subject at the first time, and the first time, the third time being earlier than the first time, and the second time being later than the first time.
The terminal equipment comprises a database and a prediction detection platform, wherein the database can be a MySQL database (a relational database), and the database stores object identifications of all objects, body temperatures of all objects in historical time and object relations of the historical time. And the prediction detection platform acquires the body temperature of the object at the third time from the database according to the object identification of the object. Optionally, the body temperature of the subject at the historical time stored in the database is taken as the body temperature of the subject at the third time.
In one possible implementation manner, the terminal device is configured to generate a body temperature time variation function according to the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time; substituting the second time into a body temperature time change function to obtain the body temperature of the subject at the second time; the body temperature time variation function is a function of the change in body temperature of the subject over time.
Optionally, the prediction detection platform includes an ARIMA model (time series model), the ARIMA model is called, and the body temperature time function is generated according to the body temperature of the subject at the third time, the body temperature of the subject at the first time and the first time.
In a possible implementation, the terminal device is further configured to determine the health condition of the subject based on the body temperature of the subject at the first time and the body temperature of the subject at the second time.
In one possible implementation manner, the terminal device is configured to determine a normothermic range of the subject according to a subject identifier of the subject; the health condition of the subject is determined based on the subject's body temperature at the first time, the subject's body temperature at the second time, and the subject's normothermic range.
In one possible implementation, the terminal device is configured to determine an age of the object according to an object identifier of the object; taking a body temperature range corresponding to the age range of the subject as a normothermic range of the subject; determining that the health condition of the subject is unhealthy based on either the body temperature of the subject at the first time and the body temperature of the subject at the second time not being within a normothermic range of the subject; the health condition of the subject is determined to be healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time both being within a normothermic range of the subject.
Optionally, the terminal equipment comprises an iferst (isolated forest) model, and the iferst model is called to determine the health condition of the object.
The database stores the corresponding relation between the object identification of each object and the age of each object. The terminal device determines the age of the object according to the object identification of the object, the object identification of each object and the age of each object. The corresponding relation between the body temperature range of the object and the age range of the object is stored in the prediction detection platform, after the age of the object is determined, the age range of the object is determined, and the body temperature range corresponding to the age range of the object is taken as the normal body temperature range of the object.
Illustratively, the following table is an exemplary table of correspondence between object identifiers of objects and ages of objects provided in the embodiments of the present application.
List one
| Object identification of objects | Age of the subject |
| 0001 | For 3 months |
| 0002 | 8 months of |
| 0003 | For 12 months |
As can be seen from the above table one, the age of the object identified as 0001 is 3 months, and the ages of the objects identified as other objects are shown in the above table one, and will not be described in detail herein.
Illustratively, table two below is an exemplary table of a correspondence relationship between an age range of a subject and a body temperature range of the subject provided in the embodiments of the present application.
Watch II
| Age range of subject | Body temperature range of subject |
| 0-6 months | 38.5-39.5℃ |
| 6-16 months | 38-39.5℃ |
| More than 16 months | 38-39℃ |
As can be seen from the above table two, when the age range of the subject is 0-6 months, the body temperature range of the subject is 38.5-39.5 ℃ (celsius degree), and when the age range of the subject is other, the body temperature range of the subject is shown in the above table two, and the detailed description thereof is omitted.
In one possible implementation manner, the terminal device is further configured to send a notification message to the terminal device used by the management object of the object, where the notification message includes the object identifier of the object, and the notification message is used to inform the management object that the health condition of the object is unhealthy. The content of the notification message may be any content, which is not limited in the embodiments of the present application.
Based on the health condition of the object being unhealthy, the terminal device may further display a prompt message, where the prompt message includes an object identifier of the object, and the prompt message is used to inform a management object of the object that the health condition of the object is unhealthy. The content of the prompt message and the content of the notification message may be the same or different, which is not limited in the embodiment of the present application.
In a possible implementation manner, the terminal device is further configured to generate a body temperature time variation image according to the body temperature of the subject at the first time, the body temperature of the subject at the second time, the first time and the second time; a body temperature time-varying image, which is an image of a change in the body temperature of the subject over time, is displayed.
In one possible implementation, the coordinator is further configured to send a data reception message to the temperature acquisition device, the data reception message being configured to indicate that the coordinator has received the second data; the temperature acquisition device is also used for receiving the data receiving message sent by the coordinator and controlling the temperature acquisition device to be in a dormant state.
In one possible implementation, the coordinator includes a 4G (fourth Generation network) transparent module, and the coordinator is configured to send the second data to the 4G transparent module;
the 4G transparent transmission module is used for receiving second data sent by the coordinator and sending the second data to the terminal equipment. The 4G transparent transmission module sends second data to the terminal equipment through an HTTP protocol (Hyper Text Transport Protocol, hypertext transfer protocol), wherein the 4G transparent transmission module is a DTU (Data Transfer unit, data terminal unit).
Optionally, after the terminal device receives the second data, the terminal device sends a data receiving message to the 4G transparent transmission module, and the 4G transparent transmission module forwards the data receiving message to the coordinator, so that the coordinator sends the data receiving message to the temperature acquisition device, and the temperature acquisition device is in a dormant state.
Optionally, after the temperature of the object at the first time is collected by the temperature collecting device, the temperature of the object at the fourth time is automatically collected by the temperature collecting device at the fourth time, and a time interval between the fourth time and the first time may be the same as a time interval between the first time and the second time or may be different from a time interval between the first time and the second time after the fourth time is performed at the first time. Illustratively, the first time is 2023, 8, 28, 09:00, fourth time 2023, 8, 28, 11:00, namely, the temperature sensor 11 at 2023, 8, 28: 00 exits sleep state, and the collection subject is 11 at 2023, 8, 28: 00 f.
According to the system, the body temperature of the object at the first time is acquired through the temperature acquisition device, manual measurement is not needed, the acquisition efficiency and accuracy of the body temperature of the object are improved, and the labor cost is saved. According to the body temperature of the object at the first time, the body temperature of the object at the second time is predicted, so that the body temperature of the object can be prevented from being abnormal, the purpose of early warning in advance is achieved, and the object can be better managed. Moreover, the management object of the object can be enabled to carry out key observation on the object which is possibly abnormal, the cause of the disease can be found in time, the illness state of the object is controlled, and further economic loss is reduced.
In a possible implementation manner, the embodiment of the present application provides a body temperature detection method, which may be applied to the implementation environment shown in fig. 1, and takes a flowchart of the body temperature detection method provided in the embodiment of the present application shown in fig. 2 as an example, where the method may be performed by the terminal device 103 in fig. 1. As shown in fig. 2, the method includes the following steps 201 to 202.
In step 201, second data sent by the coordinator is received, the second data including an object identification of an object to be subjected to body temperature detection, a body temperature of the object at a first time and the first time.
The object identifier of the object to be subjected to body temperature detection may be an object number, or may be an object name, or may be another object identifier capable of uniquely representing the object. The subject to be subjected to body temperature detection may be any type of subject, and the embodiment of the present application is not limited thereto. Illustratively, the subject to be subjected to the body temperature detection is a cow.
In the exemplary embodiment of the application, a temperature acquisition device is installed at the reference position of each object, and each object corresponds to the temperature acquisition device installed at the reference position of each object one by one. The subject to be subjected to body temperature detection is any one of a plurality of subjects, and the body temperature detection process of each subject is the same. Wherein the reference position of the subject may be the posterior ear canal of the subject.
Optionally, the temperature acquisition device is a terminal module for temperature acquisition, which is formed by a DS18B20 digital temperature sensor and a CC2530 module, and the power supply of the temperature acquisition device is a An Debang power amplifier node small-sized charger.
When a temperature acquisition device installed at a reference position of a subject is in a working state, the temperature acquisition device acquires the body temperature of the subject at the first time. The temperature acquisition device is used for generating first data according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the first data comprises the object identification of the object, the body temperature of the object at the first time and the first time. The temperature acquisition device sends first data to the coordinator, the coordinator packages the first data after receiving the first data to obtain second data, the second data comprises an object identifier of an object, the body temperature of the object at the first time and the first time, the format of the first data is different from that of the second data, and the format of the second data is JSON format. The coordinator transmits the second data to the terminal device so that the terminal device receives the second data. Wherein, the coordinator is a CC2530 module.
Optionally, the process of sending the first data to the coordinator by the temperature acquisition device includes: the temperature acquisition device sends first data to the coordinator through a Zstack wireless protocol stack.
Optionally, the coordinator includes a 4G transparent module, after the coordinator receives the first data sent by the temperature sensor and encapsulates the first data to obtain second data, the second data is sent to the 4G transparent module, and the 4G transparent module sends the second data to the terminal device through an HTTP protocol. Wherein, 4G passes the module thoroughly and is DTU.
In one possible implementation, after receiving the second data, the terminal device parses the second data to obtain the object identifier of the object, the body temperature of the object at the first time, and the first time. The terminal device is stored with a database for storing the body temperature of the subject at each time. And the terminal equipment adds the body temperature of the object at the first time into the database according to the object identification of the object.
Optionally, after the terminal device receives the second data, the terminal device sends a data receiving message to the coordinator, where the data receiving message is used to indicate that the terminal device has received the second data, and the coordinator forwards the data receiving message to the temperature acquisition device, and after the temperature acquisition device receives the data receiving message, the temperature acquisition device is controlled to be in a dormant state.
The terminal equipment sends the data receiving message to the 4G transparent transmission module, and the 4G transparent transmission module forwards the data receiving message to the coordinator so that the coordinator receives the data receiving message.
In step 202, the body temperature of the subject at a second time is predicted based on the subject identification of the subject, the body temperature of the subject at the first time, and the first time, the second time being later than the first time.
In one possible implementation, predicting the body temperature of the subject at the second time based on the subject identification of the subject, the body temperature of the subject at the first time, and the first time comprises: according to the object identification of the object, acquiring the body temperature of the object at a third time, wherein the third time is earlier than the first time; the body temperature of the subject at the second time is predicted based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time.
Optionally, the terminal device includes a database and a prediction detection platform, and the database may be a MySQL database. The database stores object identifications of all objects, and corresponding relations between body temperatures of all objects in historical time and historical time. The prediction detection platform acquires the body temperature of the object at a third time from the database according to the object identification of the object; the body temperature of the subject at the second time is predicted based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time.
Predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time comprises: generating a body temperature time function according to the body temperature of the subject at the third time, the body temperature of the subject at the first time and the first time, wherein the body temperature time function is used for determining the body temperature of the subject at any time, and the body temperature time function is a function of the change of the body temperature along with the time; substituting the second time into the body temperature time function to obtain the body temperature of the subject at the second time.
The prediction detection platform comprises an ARIMA model, and the process of generating the body temperature time function according to the body temperature of the object at the third time, the body temperature of the object at the first time and the first time comprises the following steps: and calling an ARIMA model, and generating a body temperature time function according to the body temperature of the object at the third time, the body temperature of the object at the first time and the first time.
In one possible implementation, the body temperature time variation image may be generated according to the body temperature of the subject at the first time, the body temperature of the subject at the second time, the first time and the second time after predicting the body temperature of the subject at the second time according to the subject identification of the subject, the body temperature of the subject at the first time and the first time; displaying the time-varying body temperature image. The time-varying body temperature image is an image of the variation of the body temperature of the subject with time.
Optionally, the body temperature time variation image may be generated according to the body temperature of the subject at the first time, the body temperature of the subject at the second time, the body temperature of the subject at the third time, the first time, the second time and the third time, and the body temperature time variation image may be displayed.
In one possible implementation, after predicting the body temperature of the subject at the second time, the health condition of the subject may also be determined based on the body temperature of the subject at the first time and the body temperature of the subject at the second time.
Based on the body temperature of the subject at the first time and the body temperature of the subject at the second time, the process of determining the health condition of the subject includes: determining a normothermic range of the subject according to the subject identification of the subject; the health condition of the subject is determined based on the subject's body temperature at the first time, the subject's body temperature at the second time, and the subject's normothermic range.
Wherein, according to the object identification of the object, the process of determining the normothermic range of the object comprises the following steps: determining the age of the object according to the object identification of the object; the body temperature range corresponding to the age range of the subject is taken as the normothermic range of the subject.
The database stores the corresponding relation between the object identification of each object and the age of each object. The age of the object is determined based on the object identification of the object and the object identification and age of each object. The corresponding relation between the body temperature range of the object and the age range of the object is stored in the prediction detection platform, the age range of the object is determined, and the body temperature range corresponding to the age range of the object is taken as the normal body temperature range of the object.
Illustratively, the subject is 3 months of age, the subject is in an age range of 0-6 months of age, and the subject is in an age range of 38.5-39.5 ℃ of body temperature, and thus the subject is in a normothermic range of 38.5-39.5 ℃.
In one possible implementation, determining the health condition of the subject based on the subject's body temperature at the first time, the subject's body temperature at the second time, and the subject's normothermic range comprises: determining that the health condition of the subject is unhealthy based on either the body temperature of the subject at the first time and the body temperature of the subject at the second time not being within a normothermic range of the subject; the health condition of the subject is determined to be healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time both being within a normothermic range of the subject.
In one possible implementation manner, based on the health condition of the object being unhealthy, a notification message is sent to a terminal device used by a management object of the object, where the notification message includes an object identifier of the object, and the notification message is used to inform the management object that the health condition of the object is unhealthy. The content of the notification message may be any content, which is not limited in the embodiments of the present application.
Optionally, the terminal equipment comprises an ifeast model, and the ifeast model is called to determine the health condition of the object.
Based on the health condition of the object being unhealthy, a prompt message may also be displayed, where the prompt message includes an object identifier of the object, and the prompt message is used to inform a management object of the object that the health condition of the object is unhealthy. The content of the prompt message and the content of the notification message may be the same or different, which is not limited in the embodiment of the present application.
According to the method, the body temperature of the object at the first time is acquired through the temperature acquisition device, manual measurement is not needed, the acquisition efficiency and accuracy of the body temperature of the object are improved, and the labor cost is saved. According to the body temperature of the object at the first time, the body temperature of the object at the second time is predicted, so that the body temperature of the object can be prevented from being abnormal, the purpose of early warning in advance is achieved, and the object can be better managed. Moreover, the management object of the object can be enabled to carry out key observation on the object which is possibly abnormal, the cause of the disease can be found in time, the illness state of the object is controlled, and further economic loss is reduced.
Fig. 3 is a flowchart of a method for detecting body temperature according to an embodiment of the present application, which includes the following steps.
1. And obtaining the body temperature of the subject.
Acquiring the body temperature of the subject at a first time by a DS18B20 temperature sensor; generating first data according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the first data comprises the object identification of the object, the body temperature of the object at the first time and the first time.
2. And (5) data transmission.
The first data is sent to the coordinator through the CC2530 module. The coordinator encapsulates the first data to obtain second data, the second data is sent to the 4G transparent transmission module, and the 4G transparent transmission module sends the second data to the terminal equipment through an HTTP protocol.
3. And (5) data analysis.
The terminal equipment receives the second data, analyzes the second data, and obtains the object identification of the object, the body temperature of the object at the first time and the first time.
4. And (5) data storage.
The terminal device stores the second data in a MySQL database.
The terminal equipment comprises an object information management system, wherein the object information management system comprises an object identifier of an object and the body temperature of the object at each time. The user calls the client service through the Tomcat server (a web server) to add, delete and search the object in the object information management system. Tools such as Spring boot (a set of open source frames), spring MVC (a set of open source Java frames), mybatis (a persistent layer frame) and the like are needed for adding, deleting and checking.
5. And (5) body temperature prediction.
And training a body temperature prediction model of the object through the ARIMA model, acquiring the body temperature of the object at each time from a database, and predicting the body temperature of the object at the next time according to the body temperature prediction model of the object.
6. And (5) judging abnormality.
Judging whether the body temperature of the subject at the next time is abnormal or not through an iForest model. If the body temperature of the object is abnormal at the next time, the abnormal alarm is carried out through the short message service platform, namely, a notification message is sent to the management object of the object through the short message service platform so as to carry out the abnormal alarm.
Optionally, a prompt message may also be displayed in the user interface to prompt the subject to manage the subject for an abnormality in the subject's body temperature. Alternatively, the hint message is displayed in the user interface by HTML/CSS (a markup language), javascripts (a script) tools.
Fig. 4 is a flowchart of a method for detecting body temperature according to an embodiment of the present application, which includes the following steps.
1. And (5) collecting temperature.
The temperature acquisition device acquires the body temperature of the subject at the first time.
2. And (5) data integration.
The temperature acquisition device generates first data according to the object identification of the object, the body temperature of the object at the first time and the first time. The temperature acquisition device sends first data to the coordinator. The coordinator receives the first data sent by the temperature acquisition device, encapsulates the first data to obtain second data, and sends the second data to the terminal equipment.
3. The temperature is predicted.
The terminal equipment receives second data sent by the coordinator, and predicts the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the second time is later than the first time.
4. And (5) detecting abnormality.
The terminal equipment detects the health condition of the object according to the body temperature of the object at the first time and the body temperature of the object at the second time.
And if the health condition of the object is abnormal, the terminal equipment gives a short message alarm, namely, a notification message is sent to the terminal equipment used by the management object of the object. A user interface may also be displayed.
And displaying a user interface based on the health condition of the object without abnormality. The user interface displays a body temperature of the subject at a first time and a body temperature of the subject at a second time.
Fig. 5 is a block diagram of a body temperature detection system according to an embodiment of the present application, where the system includes system hardware and system software. Wherein,
the system hardware comprises a temperature acquisition device, a coordinator and a 4G transmission module. The temperature acquisition device acquires the body temperature of the object at the first time, generates first data according to the object identification of the object, the body temperature of the object at the first time and the first time, and sends the first data to the coordinator through a Zstack protocol; the coordinator encapsulates the first data to obtain second data, and sends the second data to the 4G transparent module through UDP (User Datagram Protocol, message-oriented transport layer protocol)/TCP (Transmission Control Protocol, connection-oriented, reliable, byte stream-based transport layer communication protocol)/IP (Internet Protocol ). The 4G transparent transmission module sends the second data to the MySQL database through the HTTP protocol.
The system software comprises a client interface and a cloud server. The cloud server comprises a MySQL database and a body temperature prediction detection platform. The MySQL database sends the body temperature of the subject at the first time to the body temperature prediction detection platform via JDBC (Java database connection). The body temperature prediction detection platform predicts the body temperature of the object at the second time, and determines the health condition of the object according to the body temperature of the object at the first time and the body temperature of the object at the second time; and if the health condition of the object is abnormal, performing short message alarm. After predicting the body temperature of the subject at the second time, the subject may also be displayed at the client interface.
Fig. 6 is a schematic structural diagram of a body temperature detecting device according to an embodiment of the present application, as shown in fig. 6, the device includes:
the receiving module is used for receiving second data sent by the coordinator, wherein the second data comprises an object identifier of an object to be subjected to body temperature detection, the body temperature of the object at the first time and the first time;
and the prediction module is used for predicting the body temperature of the object at a second time according to the object identification of the object, the body temperature of the object at the first time and the first time, wherein the second time is later than the first time.
In one possible implementation, the prediction module is configured to obtain, according to an object identifier of the object, a body temperature of the object at a third time, where the third time is earlier than the first time; the body temperature of the subject at the second time is predicted based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time.
In one possible implementation, the prediction module is configured to generate a temperature time variation function according to the temperature of the subject at the third time, the temperature of the subject at the first time, and the first time, where the temperature time variation function is a function of a change of the temperature of the subject with time; substituting the second time into the body temperature time change function to obtain the body temperature of the subject at the second time.
In one possible implementation, the apparatus further includes:
and the determining module is used for determining the health condition of the object according to the body temperature of the object at the first time and the body temperature of the object at the second time.
In one possible implementation, the determining module is configured to determine a normothermic range of the subject according to a subject identifier of the subject; the health condition of the subject is determined based on the subject's body temperature at the first time, the subject's body temperature at the second time, and the subject's normothermic range.
In one possible implementation, the determining module is configured to determine an age of the object according to an object identifier of the object; taking a body temperature range corresponding to the age range of the subject as a normothermic range of the subject; determining that the health condition of the subject is unhealthy based on either the body temperature of the subject at the first time and the body temperature of the subject at the second time not being within a normothermic range of the subject; the health condition of the subject is determined to be healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time both being within a normothermic range of the subject.
In one possible implementation, the apparatus further includes:
the sending module is used for sending a notification message to the terminal equipment used by the management object of the object based on the unhealthy health condition of the object, wherein the notification message comprises the object identification of the object and is used for notifying the management object that the unhealthy health condition of the object.
In one possible implementation, the apparatus further includes:
the generation module is used for generating a body temperature time change image according to the body temperature of the object at the first time, the body temperature of the object at the second time, the first time and the second time, wherein the body temperature time change image is an image of the change of the body temperature of the object along with the change of time;
and the display module is used for displaying the temperature time-varying image.
The device can acquire the body temperature of the object at the first time without manual measurement, improves the acquisition efficiency and accuracy of the body temperature of the object, and saves the labor cost. According to the body temperature of the object at the first time, the body temperature of the object at the second time is predicted, so that the body temperature of the object can be prevented from being abnormal, the purpose of early warning in advance is achieved, and the object can be better managed. Moreover, the management object of the object can be enabled to carry out key observation on the object which is possibly abnormal, the cause of the disease can be found in time, the illness state of the object is controlled, and further economic loss is reduced.
It should be understood that, in implementing the functions of the apparatus provided above, only the division of the above functional modules is illustrated, and in practical application, the above functional allocation may be implemented by different functional modules, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the apparatus and the method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the apparatus and the method embodiments are detailed in the method embodiments and are not repeated herein.
Fig. 7 shows a block diagram of a terminal device 700 according to an exemplary embodiment of the present application. The terminal device 700 may be a portable mobile terminal, such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. The terminal device 700 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, etc.
In general, the terminal device 700 includes: a processor 701 and a memory 702.
Processor 701 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 701 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 701 may also include a main processor, which is a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 701 may be integrated with a GPU (Graphics Processing Unit, image processor) for taking care of rendering and drawing of content that the display screen is required to display. In some embodiments, the processor 701 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 702 may include one or more computer-readable storage media, which may be non-transitory. The memory 702 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 702 is used to store at least one instruction for execution by processor 701 to implement the body temperature detection method provided by the method embodiments herein.
In some embodiments, the terminal device 700 may further optionally include: a peripheral interface 703 and at least one peripheral. The processor 701, the memory 702, and the peripheral interface 703 may be connected by a bus or signal lines. The individual peripheral devices may be connected to the peripheral device interface 703 via buses, signal lines or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 704, a display 705, a camera assembly 706, audio circuitry 707, and a power supply 709.
A peripheral interface 703 may be used to connect I/O (Input/Output) related at least one peripheral device to the processor 701 and memory 702. In some embodiments, the processor 701, memory 702, and peripheral interface 703 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 701, the memory 702, and the peripheral interface 703 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 704 is configured to receive and transmit RF (Radio Frequency) signals, also referred to as electromagnetic signals. The radio frequency circuitry 704 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 704 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 704 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 704 may communicate with other terminal devices via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the world wide web, metropolitan area networks, intranets, generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 704 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.
The display screen 705 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 705 is a touch display, the display 705 also has the ability to collect touch signals at or above the surface of the display 705. The touch signal may be input to the processor 701 as a control signal for processing. At this time, the display 705 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 705 may be one and disposed on the front panel of the terminal device 700; in other embodiments, the display 705 may be at least two, respectively disposed on different surfaces of the terminal device 700 or in a folded design; in other embodiments, the display 705 may be a flexible display disposed on a curved surface or a folded surface of the terminal device 700. Even more, the display 705 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The display 705 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The camera assembly 706 is used to capture images or video. Optionally, the camera assembly 706 includes a front camera and a rear camera. Typically, a front camera is provided at the front panel of the terminal device 700, and a rear camera is provided at the rear surface of the terminal device 700. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 706 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuit 707 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 701 for processing, or inputting the electric signals to the radio frequency circuit 704 for voice communication. For stereo acquisition or noise reduction purposes, a plurality of microphones may be respectively disposed at different portions of the terminal device 700. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 701 or the radio frequency circuit 704 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, the audio circuit 707 may also include a headphone jack.
The power supply 709 is used to power the various components in the terminal device 700. The power supply 709 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 709 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the terminal device 700 further includes one or more sensors 710. The one or more sensors 710 include, but are not limited to: acceleration sensor 711, gyro sensor 712, pressure sensor 713, optical sensor 715, and proximity sensor 716.
The acceleration sensor 711 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal apparatus 700. For example, the acceleration sensor 711 may be used to detect the components of the gravitational acceleration in three coordinate axes. The processor 701 may control the display screen 705 to display a user interface in a landscape view or a portrait view based on the gravitational acceleration signal acquired by the acceleration sensor 711. The acceleration sensor 711 may also be used for the acquisition of motion data of a game or a user.
The gyro sensor 712 may detect a body direction and a rotation angle of the terminal device 700, and the gyro sensor 712 may collect a 3D motion of the user to the terminal device 700 in cooperation with the acceleration sensor 711. The processor 701 may implement the following functions based on the data collected by the gyro sensor 712: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 713 may be disposed at a side frame of the terminal device 700 and/or at a lower layer of the display screen 705. When the pressure sensor 713 is provided at a side frame of the terminal device 700, a grip signal of the user to the terminal device 700 may be detected, and the processor 701 performs left-right hand recognition or quick operation according to the grip signal collected by the pressure sensor 713. When the pressure sensor 713 is disposed at the lower layer of the display screen 705, the processor 701 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 705. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The optical sensor 715 is used to collect the ambient light intensity. In one embodiment, the processor 701 may control the display brightness of the display screen 705 based on the ambient light intensity collected by the optical sensor 715. Specifically, when the intensity of the ambient light is high, the display brightness of the display screen 705 is turned up; when the ambient light intensity is low, the display brightness of the display screen 705 is turned down. In another embodiment, the processor 701 may also dynamically adjust the shooting parameters of the camera assembly 706 based on the ambient light intensity collected by the optical sensor 715.
A proximity sensor 716, also referred to as a distance sensor, is typically provided on the front panel of the terminal device 700. The proximity sensor 716 is used to collect the distance between the user and the front face of the terminal device 700. In one embodiment, when the proximity sensor 716 detects that the distance between the user and the front face of the terminal device 700 gradually decreases, the processor 701 controls the display 705 to switch from the bright screen state to the off screen state; when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal device 700 gradually increases, the processor 701 controls the display screen 705 to switch from the off-screen state to the on-screen state.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is not limiting of the terminal device 700 and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.
In an exemplary embodiment, there is also provided a computer-readable storage medium having stored therein at least one program code loaded and executed by a processor to cause a computer to implement any of the above-described body temperature detection methods.
Alternatively, the above-mentioned computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Read-Only optical disk (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, a computer program or computer program product is also provided, having stored therein at least one computer instruction that is loaded and executed by a processor to cause a computer to implement any of the above-described body temperature detection methods.
It should be noted that, information (including but not limited to user equipment information, user personal information, etc.), data (including but not limited to data for analysis, stored data, presented data, etc.), and signals referred to in this application are all authorized by the user or are fully authorized by the parties, and the collection, use, and processing of relevant data is required to comply with relevant laws and regulations and standards of relevant countries and regions. For example, the subject identification and body temperature referred to in this application are all obtained with sufficient authorization.
It should be understood that references herein to "a plurality" are to two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
The foregoing description of the exemplary embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to any modification, equivalents, or improvements made within the principles of the present application.
Claims (10)
1. A body temperature detection system, which is characterized by comprising a temperature acquisition device, a coordinator and terminal equipment, wherein the temperature acquisition device is arranged at a reference position of an object to be subjected to body temperature detection;
the temperature acquisition device is used for acquiring the body temperature of the object at the first time;
the temperature acquisition device is further used for generating first data according to the object identification of the object, the body temperature of the object at a first time and the first time, wherein the first data comprises the object identification of the object, the body temperature of the object at the first time and the first time;
the temperature acquisition device is also used for sending the first data to the coordinator;
the coordinator is configured to receive the first data sent by the temperature acquisition device, encapsulate the first data, and obtain second data, where a format of the second data is different from a format of the first data, and the second data includes an object identifier of the object, a body temperature of the object at the first time, and the first time;
The coordinator is further configured to send the second data to the terminal device;
the terminal device is configured to receive the second data sent by the coordinator, and predict a body temperature of the object at a second time according to an object identifier of the object, the body temperature of the object at the first time, and the first time, where the second time is later than the first time.
2. The system of claim 1, wherein the terminal device is configured to obtain a body temperature of the subject at a third time based on a subject identification of the subject; predicting the body temperature of the subject at the second time based on the body temperature of the subject at the third time, the body temperature of the subject at the first time, and the first time, the third time being earlier than the first time.
3. The system of claim 2, wherein the terminal device is configured to generate a body temperature time variation function based on a body temperature of the subject at the third time, a body temperature of the subject at the first time, and the first time; substituting the second time into the body temperature time change function to obtain the body temperature of the subject at the second time, wherein the body temperature time change function is a function of the change of the body temperature of the subject along with the time.
4. A system according to any one of claims 1 to 3, wherein the terminal device is further adapted to determine the health condition of the subject based on the body temperature of the subject at the first time and the body temperature of the subject at the second time.
5. The system of claim 4, wherein the terminal device is configured to determine a normothermic range of the subject based on a subject identification of the subject; and determining the health condition of the subject according to the body temperature of the subject at the first time, the body temperature of the subject at the second time and the normothermic range of the subject.
6. The system according to claim 5, wherein the terminal device is configured to determine an age of the subject based on a subject identification of the subject; taking a body temperature range corresponding to the age range of the age of the subject as a normal body temperature range of the subject; determining that the health condition of the subject is unhealthy based on the body temperature of the subject at the first time and any of the body temperatures of the subject at the second time not being within a normothermic range of the subject; and determining that the health condition of the subject is healthy based on the body temperature of the subject at the first time and the body temperature of the subject at the second time being within the normothermic range of the subject.
7. The system of claim 6, wherein the terminal device is further configured to send a notification message to a terminal device used by a management object of the object based on the health status of the object being unhealthy, the notification message including an object identifier of the object, the notification message being configured to inform the management object that the health status of the object is unhealthy.
8. A system according to any one of claims 1 to 3, wherein the terminal device is further adapted to generate a time-varying image of body temperature from the body temperature of the subject at the first time, the body temperature of the subject at the second time, the first time and the second time; displaying the temperature time-varying image, wherein the temperature time-varying image is an image of the change of the body temperature of the subject with time.
9. A system according to any one of claims 1 to 3, wherein the coordinator is further configured to send a data reception message to the temperature acquisition device, the data reception message being configured to indicate that the coordinator has received the second data;
the temperature acquisition device is also used for receiving the data receiving message sent by the coordinator and controlling the temperature acquisition device to be in a dormant state.
10. A system according to any one of claims 1 to 3, wherein the coordinator comprises a fourth generation network 4G pass-through module, the coordinator being configured to send the second data to the 4G pass-through module;
the 4G transparent transmission module is used for receiving the second data sent by the coordinator and sending the second data to the terminal equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311251018.4A CN117309187A (en) | 2023-09-25 | 2023-09-25 | Body temperature detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311251018.4A CN117309187A (en) | 2023-09-25 | 2023-09-25 | Body temperature detection system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117309187A true CN117309187A (en) | 2023-12-29 |
Family
ID=89261446
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311251018.4A Pending CN117309187A (en) | 2023-09-25 | 2023-09-25 | Body temperature detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117309187A (en) |
-
2023
- 2023-09-25 CN CN202311251018.4A patent/CN117309187A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108362304B (en) | Data processing method and mobile terminal | |
| CN107734170B (en) | Notification message processing method, mobile terminal and wearable device | |
| CN109739394B (en) | SAR value processing method and mobile terminal | |
| CN110881212B (en) | Method and device for saving power of equipment, electronic equipment and medium | |
| JP7467667B2 (en) | Detection result output method, electronic device and medium | |
| CN107749046B (en) | Image processing method and mobile terminal | |
| CN111508609A (en) | Health condition risk prediction method and device, computer equipment and storage medium | |
| CN108810057B (en) | User behavior data acquisition method and device and storage medium | |
| CN111104402A (en) | Method, device, electronic equipment and medium for searching data | |
| CN108551525B (en) | State determination method of movement track and mobile terminal | |
| CN111192072B (en) | User grouping method and device and storage medium | |
| CN110765170A (en) | User portrait generation method and wearable device | |
| CN108063869B (en) | Safety early warning method and mobile terminal | |
| CN109857300A (en) | Multimedia service providing method and device | |
| CN111797017B (en) | Method, device, test equipment and storage medium for storing log | |
| CN111752688B (en) | Data acquisition method and device, electronic equipment and storage medium | |
| CN109117037A (en) | A kind of method and terminal device of image procossing | |
| CN110597840B (en) | Partner relationship establishment method, device, equipment and storage medium based on blockchain | |
| CN111428080B (en) | Video file storage method, video file search method and video file storage device | |
| CN116418771A (en) | Message display method, message processing method, device and electronic equipment | |
| CN117309187A (en) | Body temperature detection system | |
| CN112365088B (en) | Method, device and equipment for determining travel key points and readable storage medium | |
| CN109274814A (en) | A kind of message prompt method, device and terminal device | |
| CN109871411B (en) | Method, device, electronic equipment and medium for synchronizing data | |
| CN112416927A (en) | Data processing method and device, electronic equipment and storage medium |
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 |