CN204883715U - Wearable smart machine - Google Patents
Wearable smart machine Download PDFInfo
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- CN204883715U CN204883715U CN201520112746.1U CN201520112746U CN204883715U CN 204883715 U CN204883715 U CN 204883715U CN 201520112746 U CN201520112746 U CN 201520112746U CN 204883715 U CN204883715 U CN 204883715U
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Abstract
The utility model discloses a wearable smart machine, this control chip respectively with the accelerometer module, the heart rate detection module, the GPS module, the two -way data connection of GPRS module, control chip's a signal input part and the signal output part of S0S button module are connected, control chip's a signal output part and the signal input part of battery indicator module are connected, above -mentioned control chip, the accelerometer module, the heart rate detection module, the GPS module, the GPRS module all is connected with charging management module. Dress the bracelet through intelligence, measure the collection to data such as the rhythm of the heart of human body, activity, active state, locating information to collect data such as human blood pressure, blood oxygen, blood sugar through external device, reach the cloud platform on the rethread GPRS transport module, form big data. The cloud platform can carry out analysis processes through the algorithm to big data to combine factors such as weather, sleep quality, health basic condition, obtain the prediction of human disease possibility.
Description
Technical field
The utility model relates to the technical field of the Intelligent worn device based on mobile Internet, specifically a kind of wearable smart machine, particularly its electrical appliance module syndeton.
Background technology
Current, smart machine is wearable smart machine particularly, and large data platform, all grows a lot.Wearable smart machine is mainly used in the fields such as health, motion, amusement at present, and large data platform is mainly applied and the fields such as business intelligence, public service, the marketing.But at present at health field, the technology wearable smart machine and large data platform combined is still immature, constrains wearable smart machine and the development of large data platform in health field.
Along with electronic equipment is intelligent and the development of Highgrade integration, wearable smart machine becomes a kind of trend of current generation.Wearable smart machine can be worn on human body to continuity, possesses the terminal of advanced Circuits System, Wireless Networking and independent processing ability, and possessing can worn for long periods and these two important feature intelligent.Wearable healthy equipment is a branch of wearable smart machine, can intelligent and routinely monitoring of human health data.
Due to the development of wearable healthy equipment, healthy data presents explosive growth, and these data are large data.Large data have 4V feature: the data scale of construction (Volume) is large, data category (Variety) is large, data processing speed (Velocity) is fast, data validity (Veracity) is high.Large data need new tupe just can have stronger decision edge, the magnanimity seeing clearly discovery power and process optimization ability, high growth rate and diversified information assets, the strategic importance of large data technique does not lie in grasps huge data message, and is to carry out specialization process to these containing significant data.
For the process of large data, just need to use the cloud platform that powerful data-handling capacity can be provided.Large data and cloud platform be complement each other, inseparable mutually.Cloud platform is made up of the Cloud Server having carried cloud Platform Server end software, the cloud computer having carried cloud platform client software and networking component, can obtain resource requirement by network in the mode as required, easily expanded.Utilize cloud platform technology, carry out statistical study and degree of depth excavation to hardware acquisition carrying out healthy large data, thus obtain information health being had to higher-value further.
Based on the development of this above-mentioned technology, propose " method for designing of a kind of smart machine and large data platform " this method.Utilize wearable Intelligent bracelet, gather the data such as human heart rate, activity, active state, locating information, and utilize external equipment to collect the data such as human blood-pressure, blood oxygen, blood sugar, by GPRS transmission module, by data upload to cloud platform.On cloud platform, to large data analysis, and in conjunction with factors such as weather, sleep quality, health basic conditions, the prediction of disease possibility is carried out to human body.
In health field, wearable smart machine and large data platform technology are all also in the relatively independent stage, lack and effectively combine.The data that contemporary wearable smart machine is collected, the less cloud platform that utilizes is to large data analysis, and more is only do to show or local simple analysis, and the value produced health is limited.
Summary of the invention
The purpose of this utility model is to provide a kind of wearable smart machine, wearable smart machine is utilized to realize health evaluation and the prediction of disease possibility, the wearable smart machine of main research is to the sample and transform technology of health data, and the statistical study utilizing cloud platform to carry out the large data of health and the degree of depth are excavated.
To achieve these goals, the technical solution of the utility model is: a kind of wearable smart machine, comprise device housings, surface-mounted integrated circuit is provided with in this device housings, it is different from prior art and is: described surface-mounted integrated circuit place is provided with a control chip, this control chip respectively with accelerometer module, heart rate detection module, GPS module, GPRS module bi-directional data connects, one signal input part of control chip is connected with the signal output part of S0S key-press module, one signal output part of control chip is connected with the signal input part of electricity quantity display module, above-mentioned control chip, accelerometer module, heart rate detection module, GPS module, GPRS module is all connected with charge management module.
The utility model discloses a kind of wearable smart machine, pass through Intelligent bracelet, measurement collection is carried out to the data such as heart rate, activity, active state, locating information of human body, and collect the data such as human blood-pressure, blood oxygen, blood sugar by external equipment, be uploaded to cloud platform by GPRS transmission module again, form large data.Cloud platform can carry out analyzing and processing to large data by algorithm, and in conjunction with factors such as weather, sleep quality, health basic conditions, obtains the prediction of human body diseases possibility.
Under the overall background of aging population and disease rejuvenation, health problem more and more becomes the topic that people pay close attention to.The method is by wearable smart machine, and external equipment, gather multiple physical body health data, locating information, moving state information, combine weather recently again, and by the human body essential information such as sex, age and medical history etc. that app inputs, human health status is analysed in depth, and carries out the prediction of disease possibility.Platform can provide the health of customization to push reminding service for different user, and user also can pass through mobile phone app or page end, inquires about health and fitness information, locating information, active state etc. whenever and wherever possible.
Accompanying drawing explanation
Fig. 1 applies by the utility model the systematic schematic diagram of big data platform.
Fig. 2 is that the utility model electrical appliance module connects block diagram.
Wherein:
1, control chip;
2, accelerometer module;
3, heart rate detection module;
4, GPS module;
5, GPRS module;
6, S0S key-press module;
7, charge management module;
8, cloud data platform;
9, external equipment;
10, electricity quantity display module;
11, wearable device.
Embodiment
With reference to the accompanying drawings, the utility model is described further.
The utility model discloses a kind of wearable smart machine and large data platform, comprise cloud data platform 8, this cloud data platform 8 is connected with wearable device 11 by wireless transmission method, wearable device also passes through wireless transmission method data cube computation with external equipment 9, external equipment 9 is for gathering the blood pressure of client, blood sugar, the data such as blood oxygen, wearable device is provided with device housings, device housings place is also provided with one and wears bracelet, surface-mounted integrated circuit is provided with in device housings, this surface-mounted integrated circuit place is provided with a control chip 1, this control chip respectively with accelerometer module 2, heart rate detection module 3, GPS module 4, GPRS module 5 bi-directional data connects, one signal input part of control chip 1 is connected with the signal output part of S0S key-press module 6, one signal output part of control chip 1 is connected with the signal input part of electricity quantity display module 10, above-mentioned control chip 1, accelerometer module 2, heart rate detection module 3, GPS module 4, GPRS module 5 is all connected with charge management module 7.
In the specific implementation, reflection type photoelectricity heart rate sensor is provided with in described heart rate detection module 3.
In the specific implementation, acceleration transducer is provided with in described accelerometer module 2.
Wearable smart machine is to the sample and transform technology of health data, wearable smart machine in the utility model not only by sensor integration such as reflection type photoelectricity heart rate sensor and acceleration transducers in wherein, also GPS module and GSM communication module are integrated in wherein.The signal exported by the above-mentioned said sensor of acquisition and processing obtains human body features's index such as heart rate, active state, activity of body; By above-mentioned said GPS locating module, this equipment is positioned; By above-mentioned said GSM communication module, the human body features's indication information above-mentioned process obtained and locating information are sent to server by GPRS data transmission mode, the reflection type photoelectricity heart rate sensor that the smart machine worn in the utility model is integrated, sending illumination is mapped on wrist skin, then receive the light of being returned by wrist skin reflex, and the mode this light being changed into electric signal exports.The smart machine worn in the utility model carries out the process such as filtering, amplification to the signal that this sensor exports, and obtains the pulse signal of human body.The axially different acceleration information that the smart machine worn collection in the utility model the accelerometer processing this integration of equipments export and the detection data of different active state, obtain the active state of human body wrist, and then infer active state and the activity of whole human body.
The statistical study utilizing cloud platform to carry out the large data of health and degree of depth digging technology, the data of measurement were sent in server by socket every one hour by bracelet, server by socketserver deposit data in database, centre has the transmission of data to confirm, guarantees the correctness submitting data to.IOS and AndroidAPP obtains corresponding data by the corresponding functional interface of access webservice by transmission json, is presented to user by app.Webservice provides app and web to access two kinds of functions, webservice provides service by tomcat, exploitation is completed by myeclipse+tomcat+struts+hibernate+mysql+json+jquery, ensure that concurrency and the real-time of access, the persistent service of 24 hours * 7 days is provided, the propelling movement to IOS and Android is completed by jpush server, freely push the knowledge of some medical treatment & healths to user while providing app to serve to user, waking up bracelet hardware device is completed by SMS, the fortuitous event that Timeliness coverage bracelet carrier occurs, and information is passed to user.Utilize the data that bracelet collects, utilize existing platform data to carry out statistical study to data, excavate effective data-pushing in time to user, guarantee the health of user.
In the specific implementation, this wearable device operation and use flow process as follows:
1, after user wears upper wearable smart machine, press key, after lamp to be instructed all lights, equipment starts normal operation.
2, after equipment normally runs, the sensor chip of smart machine inside can gather necessary data message, and is sent to large data platform.
3, user and household thereof can check other relevant informations such as this user's physiological information, geographic position at any time by webpage or mobile phone terminal application program.
4, information can be submitted to each user at cloud platform interior, carry out the data analysis of the degree of depth.In conjunction with necessary informations such as the physiological datas in weather, medical history, recently a period of time, predictive disease possibility.
5, staff according to key nodes such as different solar term, different weather, can push the Health & Fitness Tip of customization to different users; With platform cooperative medical service expert and team, according to the health recent developments of user, the related services such as private doctor can be provided.
6, user is by smart machine and cloud platform, can check the physiology sign information of oneself at any time; Its household also can check user related information in any position, any time; Cloud platform can detect the related data of each user, provides the necessary information such as the health information of customization, the prediction of disease possibility.
Above content is in conjunction with concrete preferred implementation further detailed description of the utility model, can not assert that the utility model is specifically implemented to be confined to these explanations above-mentioned.For the utility model person of an ordinary skill in the technical field, without departing from the concept of the premise utility, some simple deduction or replace can also be made, all should be considered as belonging to protection domain of the present utility model.
Claims (3)
1. a wearable smart machine, comprise device housings, surface-mounted integrated circuit is provided with in this device housings, it is characterized in that: described surface-mounted integrated circuit place is provided with a control chip (1), this control chip respectively with accelerometer module (2), heart rate detection module (3), GPS module (4), GPRS module (5) bi-directional data connects, one signal input part of control chip (1) is connected with the signal output part of S0S key-press module (6), one signal output part of control chip (1) is connected with the signal input part of electricity quantity display module (10), above-mentioned control chip (1), accelerometer module (2), heart rate detection module (3), GPS module (4), GPRS module (5) is all connected with charge management module (7).
2. the wearable smart machine of one according to claim 1, is characterized in that: be provided with reflection type photoelectricity heart rate sensor in described heart rate detection module (3).
3. the wearable smart machine of one according to claim 1, is characterized in that: be provided with acceleration transducer in described accelerometer module (2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520112746.1U CN204883715U (en) | 2015-02-16 | 2015-02-16 | Wearable smart machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520112746.1U CN204883715U (en) | 2015-02-16 | 2015-02-16 | Wearable smart machine |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN204883715U true CN204883715U (en) | 2015-12-16 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201520112746.1U Expired - Fee Related CN204883715U (en) | 2015-02-16 | 2015-02-16 | Wearable smart machine |
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| CN (1) | CN204883715U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106236053A (en) * | 2016-08-25 | 2016-12-21 | 广西小草信息产业有限责任公司 | A kind of healthy early warning bracelet |
| CN106788544A (en) * | 2017-01-13 | 2017-05-31 | 深圳市合智智能科技有限公司 | Intelligent donning system based on tactilely-perceptible |
| CN106951698A (en) * | 2017-03-13 | 2017-07-14 | 成都育芽科技有限公司 | A kind of disease risks forecasting system based on network big data platform |
| CN107092810A (en) * | 2017-06-28 | 2017-08-25 | 深圳市苏仁智能科技有限公司 | Human body physical sign data collection station and data processing equipment based on piezoelectric sensing band |
-
2015
- 2015-02-16 CN CN201520112746.1U patent/CN204883715U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106236053A (en) * | 2016-08-25 | 2016-12-21 | 广西小草信息产业有限责任公司 | A kind of healthy early warning bracelet |
| CN106788544A (en) * | 2017-01-13 | 2017-05-31 | 深圳市合智智能科技有限公司 | Intelligent donning system based on tactilely-perceptible |
| CN106951698A (en) * | 2017-03-13 | 2017-07-14 | 成都育芽科技有限公司 | A kind of disease risks forecasting system based on network big data platform |
| CN107092810A (en) * | 2017-06-28 | 2017-08-25 | 深圳市苏仁智能科技有限公司 | Human body physical sign data collection station and data processing equipment based on piezoelectric sensing band |
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| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151216 Termination date: 20160216 |
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| CF01 | Termination of patent right due to non-payment of annual fee |