CN107833635A - A kind of Intelligent bracelet monitoring device based on big data analysis - Google Patents
A kind of Intelligent bracelet monitoring device based on big data analysis Download PDFInfo
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- CN107833635A CN107833635A CN201711066643.6A CN201711066643A CN107833635A CN 107833635 A CN107833635 A CN 107833635A CN 201711066643 A CN201711066643 A CN 201711066643A CN 107833635 A CN107833635 A CN 107833635A
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- health
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- human body
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Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
Abstract
The invention discloses a kind of Intelligent bracelet monitoring device based on big data analysis:The system has hand-held outer case, and enclosure includes controller, portable electric power meter, electrical power standard scale, power module, wireless communication module, data acquisition module;Import and export water temperature RTD ring, electric power meter, import ultrasonic flowmeter, environment humidity sensor, interface module, display touch-screen, system energy efficiency test device provides real-time data record function, can long-term follow-on test, without human attendance, the wireless network transmissions function of real time data, data processing of the tester after office can be achieved the reception of test data, store and be completed can be provided.
Description
Technical field
The invention belongs to Intelligent worn device to monitor field, more particularly to a kind of Intelligent bracelet prison based on big data analysis
Survey device.
Background technology
In recent years, with the intelligent terminal such as the continuous development of terminal technology, various Intelligent bracelets, intelligent watch
Constantly flood the market, the terminal device experience for being greatly enriched user is enjoyed, and is set however, the existing intelligence of in the market is wearable
It is standby that there are still in place of some shortcomings:Current intelligent wearable device is still to use a kind of executive mode of passive type,
That is these intelligent wearable devices, only after the operational order of wearer is received, intelligent wearable device can just be gone
Perform the action of corresponding wearer's operational order, and can not automatically, hommization according to the condition and feelings of wearer
Not-ready status performs corresponding counter-measure on one's own initiative, with the help to wearer's offer much sooner, especially goes out in wearer
The urgent illness situation that now happens suddenly or it is depressed when, existing wearable device can not but be given.
The content of the invention
The purpose of the present invention is to overcome the shortcomings of prior art, proposes a kind of Intelligent bracelet prison based on big data analysis
Survey device.
The device has a bracelet, has controller inside bracelet, alarm module, interface module, data memory module, wirelessly
Communication module, d GPS locating module, sleep monitor, temperature sensor, humidity sensor, PM2.5 sensors, pulse detection pass
Sensor, noise transducer;Sleep monitor, temperature sensor, humidity sensor, PM2.5 sensors, pulse detection sensor,
Noise transducer is all connected by interface module with data acquisition module;Alarm module, data acquisition module, data storage mould
Block, communication module, d GPS locating module and controller connect;Pulse detection sensor gathers pulse information, temperature sensor, wet
Spend sensor, PM2.5 sensors, the temperature of noise transducer collection surrounding environment, humidity, PM2.5, noise parameter;Sleep prison
Breathing, heart rate and sleep quality information of the human body in sleep can be obtained by surveying instrument;Controller is to data collecting module collected
Monitoring Data carries out use processing, and is delivered to smart mobile phone and Cloud Server, Cloud Server by wireless communication module
Big data analysis is carried out to the Monitoring Data, different mark parameter type is drawn, by contrasting the different mark database of expert, draws exception
Warning information, is sent to smart mobile phone, and d GPS locating module feeds back to smart mobile phone exception location information.
Described Cloud Server has analysis module, and the Cloud Server carries out big data analysis to the Monitoring Data
For:Analysis module using the expert knowledge library and health forecast model that pre-establish, humidity, temperature in effect ambient parameter,
Sleep index, pulsation index in PM2.5, noise and health parameters, to judge whether health exception occurs, if occurring different
Often, analysis module carries out abnormal positioning analysis, draws anomaly analysis result, meanwhile, Cloud Server feeds back to alarm unit
Warning alert is carried out, analysis module sends abnormal Location Request to controller, and it is extremely fixed that d GPS locating module feeds back to smart mobile phone
Position information.
Described health forecast model is by establishing multiple linear regression parameter model, obtaining health index letter
Number, health exponential function Q (t) represent as follows:
;
X(t)For human body health indicator monitoring parameters, Q (t) is the predicted value of human body health indicator,For regression coefficient,To return
Return harmonic coefficient;
Wherein, mechanism function R (t) is used by health mechanism model:
For quality of power supply function first derivative, a, b, c is harmonic coefficient, and R (t) is human body healthy trend analysis result.
Compared with prior art, its beneficial technique effect is the present invention:
For the demand of health degree monitoring, there is provided real-time data record function, continuous for a long time can monitor the strong of human body in real time
Kang Du, and historical data is combined, trend prediction is carried out to health degree, improves the early warning mechanism of health degree.
Brief description of the drawings
Fig. 1 is the construction module figure of bracelet of the present invention.
Embodiment
The device has a bracelet, has controller inside bracelet, alarm module, interface module, data memory module, wirelessly
Communication module, d GPS locating module, sleep monitor, temperature sensor, humidity sensor, PM2.5 sensors, pulse detection pass
Sensor, noise transducer;Sleep monitor, temperature sensor, humidity sensor, PM2.5 sensors, pulse detection sensor,
Noise transducer is all connected by interface module with data acquisition module;Alarm module, data acquisition module, data storage mould
Block, communication module, d GPS locating module and controller connect;Pulse detection sensor gathers pulse information, temperature sensor, wet
Spend sensor, PM2.5 sensors, the temperature of noise transducer collection surrounding environment, humidity, PM2.5, noise parameter;Sleep prison
Breathing, heart rate and sleep quality information of the human body in sleep can be obtained by surveying instrument;Controller is to data collecting module collected
Monitoring Data carries out use processing, and is delivered to smart mobile phone and Cloud Server, Cloud Server by wireless communication module
Big data analysis is carried out to the Monitoring Data, different mark parameter type is drawn, by contrasting the different mark database of expert, draws exception
Warning information, is sent to smart mobile phone, and d GPS locating module feeds back to smart mobile phone exception location information.
Described Cloud Server has analysis module, and the Cloud Server carries out big data analysis to the Monitoring Data
For:Analysis module using the expert knowledge library and health forecast model that pre-establish, humidity, temperature in effect ambient parameter,
Sleep index, pulsation index in PM2.5, noise and health parameters, to judge whether health exception occurs, if occurring different
Often, analysis module carries out abnormal positioning analysis, draws anomaly analysis result, meanwhile, Cloud Server feeds back to alarm unit
Warning alert is carried out, analysis module sends abnormal Location Request to controller, and it is extremely fixed that d GPS locating module feeds back to smart mobile phone
Position information.
Described health forecast model is by establishing multiple linear regression parameter model, obtaining health index letter
Number, health exponential function Q (t) represent as follows:
;
X(t)For human body health indicator monitoring parameters, Q (t) is the predicted value of human body health indicator,For regression coefficient,To return
Return harmonic coefficient;
Wherein, mechanism function R (t) is used by health mechanism model:
For quality of power supply function first derivative, a, b, c is harmonic coefficient, and R (t) is human body healthy trend analysis result.
Claims (1)
- A kind of 1. Intelligent bracelet monitoring device based on big data analysis, it is characterised in that:The device has a bracelet, inside bracelet With controller, alarm module, interface module, data memory module, wireless communication module, d GPS locating module, sleep monitor Instrument, temperature sensor, humidity sensor, PM2.5 sensors, pulse detection sensor, noise transducer;Sleep monitor, temperature Degree sensor, humidity sensor, PM2.5 sensors, pulse detection sensor, noise transducer all pass through interface module and data Acquisition module connects;Alarm module, data acquisition module, data memory module, communication module, d GPS locating module and controller Connection;Pulse detection sensor gathers pulse information, temperature sensor, humidity sensor, PM2.5 sensors, noise transducer The temperature of collection surrounding environment, humidity, PM2.5, noise parameter;Sleep monitor can obtain human body sleep when breathing, Heart rate and sleep quality information;Controller carries out use processing to the Monitoring Data of data collecting module collected, and passes through Wireless communication module is delivered to smart mobile phone and Cloud Server, and Cloud Server carries out big data analysis to the Monitoring Data, obtained Go out different mark parameter type, by contrasting the different mark database of expert, draw abnormity early warning information, be sent to smart mobile phone, GPS location Module feedback gives smart mobile phone exception location information;Described Cloud Server has analysis module, and the Cloud Server is to described Monitoring Data carries out big data analysis:Analysis module is using the expert knowledge library and health forecast model that pre-establish, effect Humidity, temperature, PM2.5, noise in ambient parameter and sleep index, pulsation index in health parameters, to judge that human body is good for Whether health there is exception, if there is exception, analysis module carries out abnormal positioning analysis, draws anomaly analysis result, meanwhile, cloud clothes Business device feeds back to alarm unit and carries out warning alert, and analysis module sends abnormal Location Request, GPS location mould to controller Block feeds back to smart mobile phone exception location information;Described health forecast model is by establishing multiple linear regression parameter mould Type, obtains health exponential function, and health exponential function Q (t) represents as follows:;X(t)For human body health indicator monitoring parameters, Q (t) is the predicted value of human body health indicator,For regression coefficient,To return Harmonic coefficient;Wherein, mechanism function R (t) is used by health mechanism model:For quality of power supply function first derivative, a, b, c is harmonic coefficient, and R (t) is human body healthy trend analysis result.
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CN201711066643.6A CN107833635A (en) | 2017-11-02 | 2017-11-02 | A kind of Intelligent bracelet monitoring device based on big data analysis |
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Cited By (4)
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---|---|---|---|---|
CN108877886A (en) * | 2018-06-13 | 2018-11-23 | 浙江羊皮书科技有限公司 | A kind of motion bracelet based on cloud platform technology |
CN109044292A (en) * | 2018-07-11 | 2018-12-21 | 安徽捷峰电子科技有限公司 | A kind of the elder's health monitor system |
CN111819585A (en) * | 2018-08-24 | 2020-10-23 | 范豪益 | Physiological data intelligent processing method and system |
CN113331802A (en) * | 2021-06-25 | 2021-09-03 | 安徽理工大学 | Design method of baby health condition monitoring system based on NBIOT technology |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108877886A (en) * | 2018-06-13 | 2018-11-23 | 浙江羊皮书科技有限公司 | A kind of motion bracelet based on cloud platform technology |
CN109044292A (en) * | 2018-07-11 | 2018-12-21 | 安徽捷峰电子科技有限公司 | A kind of the elder's health monitor system |
CN111819585A (en) * | 2018-08-24 | 2020-10-23 | 范豪益 | Physiological data intelligent processing method and system |
CN113331802A (en) * | 2021-06-25 | 2021-09-03 | 安徽理工大学 | Design method of baby health condition monitoring system based on NBIOT technology |
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Application publication date: 20180323 |