CN103678911A - Control method of intelligent health-regulation running system based on Internet of Things - Google Patents
Control method of intelligent health-regulation running system based on Internet of Things Download PDFInfo
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- CN103678911A CN103678911A CN201310676905.6A CN201310676905A CN103678911A CN 103678911 A CN103678911 A CN 103678911A CN 201310676905 A CN201310676905 A CN 201310676905A CN 103678911 A CN103678911 A CN 103678911A
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Abstract
The invention discloses a control method of an intelligent health-regulation running system based on the Internet of Things. The control method is characterized in that a wireless data transmission module and a data early warning management module are added to a running machine function module, a blood pressure and blood oxygen data acquisition function is added to an original data transmission module to form a new running system, and the new running system is connected with a background system server and a hospital database through a wireless network. Data recorded by the new running system are wirelessly transmitted to the background system server and stored in a personal electronic health record in a hospital system, so that centralized management of dispersedly measured data of user is realized, a data analysis report is generated every time the user finishes running, and basic data service is provided for medical care of the user. The user can synchronously transmit the data recorded by the running system to a mobile, a tablet computer and other devices through Bluetooth, so that close-range wireless transmission without a network is realized. The running system gives an early warning according to the heart rate of the user so that the user can find out the problem in time and conduct regulation.
Description
Technical field
The present invention relates to a kind of control method of the intelligent health supervision running system based on Internet of Things.
Background technology
Treadmill is a kind of sports equipment of body-building as master of take, existing treadmill all has the function of measuring every data in motion process, as changes in heart rate situation in user's running time, speed, mileage and running process etc., and these data are shown on display board, user can check the exercise data of oneself in real time.
Yet the functions such as existing treadmill self does not have that data longer-term storage, remote data are checked, data analysis and data mining, user cannot obtain own long-term exercise data and therefrom excavate valuable information for health control.In addition, the data of existing treadmill derive the form that can only transmit by data line, and operation is inconvenience extremely.User's heart rate data in running process occurs that when abnormal, treadmill also cannot be made early warning.
Summary of the invention
In order to overcome the deficiency of above-mentioned existing treadmill, the present invention proposes a kind of control method of the intelligent health supervision running system based on Internet of Things.The method adopts wireless mode transmission data, and valid data are carried out to longer-term storage, the line number of going forward side by side according to one's analysis with data mining, data can be used for health care, and early warning in time under abnormal conditions.
The technical solution adopted in the present invention is:
A control method for intelligent health supervision running system based on Internet of Things, comprising:
(1) on the basis of functions of treadmill module, add wireless data transfer module and data early warning administration module, in legacy data acquisition module, add blood pressure, oximetry data acquisition function, thereby form new running system, running time when this running system detection record user moves on treadmill, mileage, the rhythm of the heart, blood pressure, blood oxygen delta data, and this system is connected with background system server and hospital database system by wireless network;
(2) above-mentioned wireless data transfer module is by the data upload of running system log (SYSLOG) to background system server and hospital system database, and in the data of record and hospital system, individual subscriber electronic health care archives are associated, for health doctor and user inquires about and;
(3) user utilizes Bluetooth technology the data transmission of running system log (SYSLOG) can be shown to the equipment of the support bluetooths such as mobile phone, flat board as required, realizes without near radio transmission off the net.
(4) running system can comprehensively be analyzed the each post exercise heart rate of user, blood pressure and blood oxygen delta data, and generate a assessment report, the item that exercise intensity suggestion when user understands condition while this time moving, next time motion according to report and daily exercise, diet conservancy etc. should be noted that.
(5) heart rate value that when user can set motion, expectation reaches, data early warning module gives corresponding exercise intensity suggestion according to set expectation heart rate value, heart rate data when simultaneously user moves on treadmill can with the equal state of long-term accumulation in individual subscriber electronic health care archives under maximum heart rate value compare, when exceeding set maximum heart rate value, data early warning module can be sent prompting, and the heart rate value while running according to user further calculates user and next adjust required velocity, heart rate value is maintained in safe range.If heart rate value is for a long time in abnormality, treadmill is by out of service.User also can set accessible maximum heart rate value while running voluntarily, and heart rate data when now user moves on treadmill can be compared and carry out early warning with the maximum heart rate value setting.
(6) every data that running system detects are using the basic data as user health management, longer-term storage is in hospital system in individual subscriber electronic health care archives, the centralized management of realization to user's decentralized measure data, and every body index parameter is carried out intelligent management when system can be automatically to user movement, for the following medical care of user provides reliable basis.Above-mentioned hospital system is by carrying out data analysis and data mining to user's running data that motion accumulates throughout the year, the basic physical efficiency of analysis user, understand user's health status and variation tendency, for user formulates exercise program and every health medical treatment health care service plan in the future.
Compared with prior art, tool of the present invention has the following advantages:
(1) thinking of the design's method is in treadmill, to add wireless data transfer module and data early warning administration module, in legacy data acquisition module, add blood pressure, oximetry data acquisition function, treadmill is connected with background system server and hospital database system by wireless network, is convenient to user and uses treadmill in larger geographic range.User can utilize Bluetooth technology that the data transmission of running system log (SYSLOG) is shown to the equipment of the support bluetooths such as mobile phone, flat board as required simultaneously, realizes without near radio transmission off the net.
(2) when user moves on described treadmill, detected every data, by the wireless data transfer module of treadmill, are uploaded to background system server with wireless transmission method, for health doctor and user's inquiry.System is carried out data analysis and data mining by the running data that accumulate that user is moved throughout the year, the basic physical efficiency of analysis user, and understanding user's health status and variation tendency, for user formulates exercise program and every health medical treatment health care service plan in the future.
(3) after user moves and finishes on treadmill, described running system can to the each motion of user time psychological data comprehensively analyze, and generate assessment report, the item that exercise intensity suggestion when user understands condition while this time moving, next time motion according to report and daily exercise, diet conservancy etc. should be noted that.
Accompanying drawing explanation
Fig. 1 is intelligent health supervision running system applies Governance framework;
Fig. 2 is treadmill cut-away view;
Fig. 3 is intelligent health supervision running working-flow figure.
Embodiment
Below in conjunction with the drawings and specific embodiments, further illustrate the present invention, should understand following embodiment and only for the present invention is described, is not used in and limits the scope of the invention, those skilled in the art all fall within the scope of the application's claim restriction to the modification of the various equivalent form of values of the present invention.
As shown in Figure 1, by wireless network, treadmill is connected with background system server and hospital database system.When user moves at every turn on treadmill, detected every data are in Table 1, the data of record comprise: user run time mileage record, user run during heart rate, blood pressure, blood oxygen change records, user's different time sections running changes in heart rate record under changes in heart rate record, the different running intensity of user, can with wireless transmission method, be uploaded to background system server by the wireless data transfer module of treadmill, for health doctor and user inquiry and.
The table 1 user data logger of running
Running system is comprehensively analyzed heart rate, blood pressure and the blood oxygen delta data of the each motion of user, and generate a assessment report, the item that exercise intensity suggestion when user understands condition while this time moving, next time motion according to report and daily exercise, diet conservancy etc. should be noted that.In Table 2
Table 2 user movement data analysis report
The detected every data of running system can be recorded in individual subscriber electronic health care archives and standing storage, and the constantly accumulation of user's exercise data for a long time provides data information as the basic data of user health management for the following medical care of user.System is carried out data analysis and data mining by the running data that accumulate that user is moved throughout the year, the basic physical efficiency of analysis user, and understanding user's health status and variation tendency, for user formulates exercise program and Health Care Services plan.
Wireless data transfer module and data early warning administration module in treadmill, have been increased, in legacy data acquisition module, add blood pressure, oximetry data acquisition function is as Fig. 2, the heart rate data that running system detects can be uploaded to background server and be associated with individual subscriber electronic health care archives in hospital system, heart rate data when user moves on treadmill can with the equal state of long-term accumulation in individual subscriber electronic health care archives under maximum heart rate value or user set voluntarily accessible maximum heart rate value while running and contrast, when exceeding set maximum heart rate value, data early warning module can be sent prompting, and the heart rate value while running according to user is further calculated user and is next adjusted required velocity.If heart rate value is for a long time in abnormality, treadmill is by out of service.Specific works flow process as shown in Figure 3.
Claims (2)
1. the intelligent health based on Internet of Things is supervised a control method for running system, it is characterized in that comprising:
(1) in functions of treadmill module, add wireless data transfer module and data early warning administration module, in legacy data acquisition module, add blood pressure, oximetry data acquisition function, thereby form new running system, running time, mileage and rhythm of the heart when this running system detection record user moves on treadmill, blood pressure, blood oxygen delta data, and this system is connected with background system server and hospital database system by wireless network;
(2) above-mentioned wireless data transfer module is by the data upload of running system log (SYSLOG) to background system server and hospital system database, and the data of record are associated with individual subscriber electronic health care archives in hospital system, for health doctor and user, inquire about;
(3) running system is comprehensively analyzed heart rate, blood pressure and the blood oxygen delta data of the each motion of user, and generate assessment report, the item that exercise intensity suggestion when user understands condition while this time moving, next time motion according to report and daily exercise, diet conservancy should be noted that;
(4) user selects to utilize Bluetooth technology that the data transmission of running system log (SYSLOG) is shown to the equipment of support bluetooth as required, realizes near radio transmission under no net state;
(5) heart rate value that when user sets motion according to the physical efficiency of oneself, expectation reaches, data early warning module gives corresponding exercise intensity suggestion according to set expectation heart rate value, maximum heart rate value in heart rate data when user moves on treadmill simultaneously and individual subscriber electronic health care archives under the equal state of long-term accumulation is compared, when exceeding set maximum heart rate value, data early warning module is sent prompting, and the heart rate value while running according to user further calculates user and next adjust required velocity, heart rate value is maintained in safe range; If heart rate value is for a long time in abnormality, treadmill is out of service; In addition, when user sets the maximum heart rate value reaching while running voluntarily, heart rate data when user moves on treadmill is compared with the maximum heart rate value setting, thereby carries out early warning.
2. control method according to claim 1, it is characterized in that: every data that described running system detects are using the basic data as user health management, longer-term storage is in hospital system in individual subscriber electronic health care archives, the centralized management of realization to user's decentralized measure data, for the following medical care of user provides reliable basis; Above-mentioned hospital system is by carrying out data analysis and data mining to user's running data that motion accumulates throughout the year, the basic physical efficiency of analysis user, understand user's health status and variation tendency, for user formulates exercise program and every health medical treatment health care service plan in the future.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105468913A (en) * | 2015-11-25 | 2016-04-06 | 哈尔滨商业大学 | Intelligent dining table system and healthy diet control system based on Internet of Things |
| CN105760643A (en) * | 2014-12-16 | 2016-07-13 | 中国移动通信集团公司 | Exercise guidance method and terminal equipment |
| CN106027609A (en) * | 2016-05-05 | 2016-10-12 | 深圳前海大数点科技有限公司 | Service system for Internet of Things |
| CN106730602A (en) * | 2016-12-30 | 2017-05-31 | 天津航正科技有限公司 | A kind of intelligent health maintenance device based on Internet of Things |
| CN103942455B (en) * | 2014-05-07 | 2017-07-28 | 东南大学 | A kind of operation scheduling Optimization Design based on teledata |
| CN107292082A (en) * | 2017-05-02 | 2017-10-24 | 南京万德游乐设备有限公司 | A kind of body is suitable can detection method and system |
| CN107374601A (en) * | 2017-08-02 | 2017-11-24 | 苏州蓝越软件有限公司 | A kind of health analysis self-measuring system |
| WO2018218657A1 (en) * | 2017-06-02 | 2018-12-06 | 深圳市屹石科技股份有限公司 | Method for recommending more suitable running mode according to heart rate and running mode, and treadmill |
| CN109124630A (en) * | 2018-08-08 | 2019-01-04 | 加动健康科技（芜湖）有限公司 | Walking test macro |
| CN109862826A (en) * | 2016-08-18 | 2019-06-07 | 皇家飞利浦有限公司 | Blood pressure management |
| CN111408124A (en) * | 2020-03-13 | 2020-07-14 | 南京工业大学浦江学院 | Short-distance body measurement system based on Internet of things technology |
| CN111785377A (en) * | 2020-06-30 | 2020-10-16 | 重庆勤鸟圈科技有限公司 | Early warning system and method for fitness crowd |
| CN113440828A (en) * | 2021-03-29 | 2021-09-28 | 厦门市思芯微科技有限公司 | Running state monitoring method and system based on cloud computing and storage medium |
| CN114028767A (en) * | 2021-12-24 | 2022-02-11 | 史册 | Internet-based cloud classification technology system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6004243A (en) * | 1995-10-11 | 1999-12-21 | Ewert; Bruce | Dynamic real time exercise video apparatus and method |
| CN1555758A (en) * | 2003-12-31 | 2004-12-22 | 深圳市好家庭实业有限公司 | Realizing method of intelligent motion or therapeutic apparatus |
| CN201840824U (en) * | 2010-09-28 | 2011-05-25 | 深圳市倍泰健康测量分析技术有限公司 | Electric treadmill system |
| CN102526985A (en) * | 2011-12-31 | 2012-07-04 | 厦门钢宇工业有限公司 | Intelligent exercises machine |
| CN103027752A (en) * | 2012-10-20 | 2013-04-10 | 深圳市好家庭实业有限公司 | Health and exercise supervisory system and method thereof |
| US20130135115A1 (en) * | 2011-11-30 | 2013-05-30 | ECOFIT Network Inc. | Exercise Usage Monitoring System |
-
2013
- 2013-12-11 CN CN201310676905.6A patent/CN103678911A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6004243A (en) * | 1995-10-11 | 1999-12-21 | Ewert; Bruce | Dynamic real time exercise video apparatus and method |
| CN1555758A (en) * | 2003-12-31 | 2004-12-22 | 深圳市好家庭实业有限公司 | Realizing method of intelligent motion or therapeutic apparatus |
| CN201840824U (en) * | 2010-09-28 | 2011-05-25 | 深圳市倍泰健康测量分析技术有限公司 | Electric treadmill system |
| US20130135115A1 (en) * | 2011-11-30 | 2013-05-30 | ECOFIT Network Inc. | Exercise Usage Monitoring System |
| CN102526985A (en) * | 2011-12-31 | 2012-07-04 | 厦门钢宇工业有限公司 | Intelligent exercises machine |
| CN103027752A (en) * | 2012-10-20 | 2013-04-10 | 深圳市好家庭实业有限公司 | Health and exercise supervisory system and method thereof |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942455B (en) * | 2014-05-07 | 2017-07-28 | 东南大学 | A kind of operation scheduling Optimization Design based on teledata |
| CN105760643A (en) * | 2014-12-16 | 2016-07-13 | 中国移动通信集团公司 | Exercise guidance method and terminal equipment |
| CN105468913A (en) * | 2015-11-25 | 2016-04-06 | 哈尔滨商业大学 | Intelligent dining table system and healthy diet control system based on Internet of Things |
| CN106027609A (en) * | 2016-05-05 | 2016-10-12 | 深圳前海大数点科技有限公司 | Service system for Internet of Things |
| CN106027609B (en) * | 2016-05-05 | 2019-04-02 | 深圳大数点科技有限公司 | A kind of internet of things service system |
| CN109862826A (en) * | 2016-08-18 | 2019-06-07 | 皇家飞利浦有限公司 | Blood pressure management |
| CN106730602A (en) * | 2016-12-30 | 2017-05-31 | 天津航正科技有限公司 | A kind of intelligent health maintenance device based on Internet of Things |
| CN107292082A (en) * | 2017-05-02 | 2017-10-24 | 南京万德游乐设备有限公司 | A kind of body is suitable can detection method and system |
| WO2018218657A1 (en) * | 2017-06-02 | 2018-12-06 | 深圳市屹石科技股份有限公司 | Method for recommending more suitable running mode according to heart rate and running mode, and treadmill |
| CN107374601A (en) * | 2017-08-02 | 2017-11-24 | 苏州蓝越软件有限公司 | A kind of health analysis self-measuring system |
| CN109124630A (en) * | 2018-08-08 | 2019-01-04 | 加动健康科技（芜湖）有限公司 | Walking test macro |
| CN111408124A (en) * | 2020-03-13 | 2020-07-14 | 南京工业大学浦江学院 | Short-distance body measurement system based on Internet of things technology |
| CN111785377A (en) * | 2020-06-30 | 2020-10-16 | 重庆勤鸟圈科技有限公司 | Early warning system and method for fitness crowd |
| CN111785377B (en) * | 2020-06-30 | 2024-01-30 | 重庆勤鸟圈科技有限公司 | Early warning system and method for fitness crowd |
| CN113440828A (en) * | 2021-03-29 | 2021-09-28 | 厦门市思芯微科技有限公司 | Running state monitoring method and system based on cloud computing and storage medium |
| CN114028767A (en) * | 2021-12-24 | 2022-02-11 | 史册 | Internet-based cloud classification technology system |
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