CN108538360A - A kind of concentrating type body building management system and implementation method based on time series database - Google Patents
A kind of concentrating type body building management system and implementation method based on time series database Download PDFInfo
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The present invention relates to database technical field, especially a kind of concentrating type body building management system and implementation method based on time series database.The present invention system include：Subscriber information management module, body-building course management module, the real-time monitoring modular of calorie, magnanimity time series data distribution memory module, report data various dimensions statistical module, hommization recommending module, data eliminate compression module, future health prediction module and user data and share/evaluation module；The module realizes that subscriber information management, body-building course management, calorie monitors in real time, magnanimity time series data distribution storage, report data various dimensions statistics, hommization recommendation, data eliminate compression, future health prediction and user data is shared and evaluation jointly.The present invention can carry out the sport and body-building data of user to monitor and store in real time, be counted to data after parsing, hommization processing and future anticipation, while user with shared data, evaluation system, can complete intelligent optimization and self upgrading of system.
Description
Technical field
The present invention relates to database technical field, especially a kind of concentrating type body building management system based on time series database
And implementation method.
Background technology
Time series database (TSDB) is a kind of certain types of database, is mainly used to store time series data.With 5G skills
The continuous maturation of art, technology of Internet of things will make all things on earth interconnect.Only mobile phone, computer can network before the Internet of things era,
Later all devices can all network, these equipment can all spue largely according to the data that the time organizes all the time, need to deposit
Store up inquired, statistics and analysis.
TSDB will be the following one very database with marketability, challenge, herein from big data angle, by TSDB
It is applied in body-building software systems, to：To sport and body-building data (such as heartbeat data, pulse data, step number, the body-sensing of user
Data etc.) monitor and store in real time, data are counted after parsing, hommization processing and future anticipation, is used simultaneously
Family with shared data, evaluation system, can complete intelligent optimization and self upgrading of system.
Invention content
Present invention solves the problem in that providing a kind of concentrating type body building management system and realization based on time series database
Method；Realize the management to workout data.
The present invention solve above-mentioned technical problem technical solution be：
The system includes：Subscriber information management module, body-building course management module, the real-time monitoring modular of calorie,
Magnanimity time series data is distributed memory module, report data various dimensions statistical module, hommization recommending module, data and eliminates compression mould
Block, future health prediction module and user data share/evaluation module；The module is realized subscriber information management, is good for jointly
Body course management, calorie monitor in real time, magnanimity time series data distribution storage, report data various dimensions count, hommization is recommended,
Data eliminate compression, future health prediction and user data is shared and evaluation.
The subscriber information management module is used for user's registration/login this system, establishes user information profile；And it carries
For user information maintenance function, including：Account migration, account additions and deletions change look into, the registration management of user's basic document, user for body-building number
According to management.
The body-building course management module provides course inquiry, course classification, course recommendation, curricular advancement management work(
Energy；Wherein：
A：Course is inquired：Magnanimity body-building course library is provided；It is ranked up and shows according to various dimensions such as difficulty, hot topic degree；
B：Course is classified：Including being suitble to crowd, being suitble to time, difficulty, hot topic degree；
C：Course is recommended：After carrying out big data analysis according to the basic registration material of user, by MapReduce to information
Cluster, the course for obtaining meeting specific user are recommended；
D：Curricular advancement management：Track the specific course of certain specific user；Progress and completeness can be inquired at any time, thus into
Row information reminds push and user data update, user for body-building evaluation.
The real-time monitoring modular of the calorie opens real-time monitoring after user starts some body-building course
Function；The function can monitor the calorie Expenditure Levels of user, heartbeat situation, pulse condition, the step number of walking/running, current
Body-sensing action；The real time data basis superseded as real-time early warning, data compression；Meanwhile when user stops certain body-building course
Afterwards, the real time data of the corresponding course stops monitoring.
The magnanimity time series data is distributed memory module, real-time to the body-building of magnanimity using InfluxDB time series databases
Data are stored, it can be achieved that the extension of distributed and horizontal extension；Wherein：
A：Storage strategy；It is permanently stored using default policy；User can carry out system setting, to change the plan
Slightly；
B：Timestamp；A timestamp is specified for each data；Optimize subsequent inquiry operation；
C:Storage engines；Multiple shard are created, the tsm storage engines of a bottom are corresponded under each shard, are had solely
Vertical cache, wal, tsm file and compactor；
D：Optimiged index；It is optimized by index of metadata and TSM File indexes.
The report data various dimensions statistical module completes random dimension by bitmap index and Inverted Index Technique
Carry out efficient inquiring technology；The polymerization techniques such as count/max are used in the original query data of magnanimity；Using pre-polymerization
Conjunction technology writes into the when of coming in data and just completes data aggregate operation；From user perspective, it is strong that the history of oneself is intuitively inquired in realization
Body records, and schedule planning is carried out to the fitness program of oneself using the means of quantization.
The hommization recommending module grasps the history of user by big data analysis tool and MapReduce technologies
It notes down and carries out data information cluster, extract the keyword for meeting user preference feature, course is carried out for these keywords
Obtained result, is taken the several former for the condition of best suiting, is pushed to user by frequency on time, to improve by retrieval, information search
Hommization is experienced；User can receive and decline according to itself hobby and condition selection, and server can carry out user preference and repair at this time
Just；Keep push content next time more accurate.
The data eliminate compression module, and data eliminate the method using data staging storage；For time series data packet
The cold and hot property techniques characteristic contained；The data of nearest hour rank are put into memory, the data of nearest day rank are put into
SSD, data more remote are put into more cheap HDD or are directly eliminated using TTL is expired；Data compression is to improve inquiry
Performance.
The future health prediction module by the way of artificial intelligence, obtains each body-building work by machine learning
Prompting/alarm threshold value of dynamic course；It is logical using various ways when the Real-time Monitoring Data of user be more than/approaches this threshold value
Know user；Including vibrations, information notice, screen interactive notification.
The user data is shared/evaluation module, front end frame is used as using HTML5, and it is completion cross-terminal, cross-platform
Task realizes that multiterminal are shared；Evaluation module realizes the use feedback of user, is generated by data, data improve；To big data point
The method of analysis carries out hommization fine tuning.
The implementation method includes following flow：
A：User's registration/login establishes user information and uses system；
B：System monitoring/acquisition user's real time data, generates and stores magnanimity time series data；
C：System carries out data to be classified/compression processing, and generation various dimensions polymerize/inquire report data and personalization is special
Belong to recommending data；
D：When detecting user's abnormal data or when user for body-building data reach certain threshold value, start " future anticipation "
Function sends out information/warning to user；
E：User enables data sharing, realizes that multiple terminals data synchronize, and evaluate system.
The beneficial effects of the invention are as follows：
1, the present invention is concentrating type, is easily extended；When increasing node/dilatation, user unaware transparent to business, this hair
It is bright to use Hadoop frames；Simultaneously to ensure the high-throughput write-in of single machine, the present invention is using based on TSM Tree storages
The InfluxDB time series database storage systems of engine.
2, the real-time monitoring of calorie and user behavior will produce a large amount of time series data；The present invention passes through distributed storage
Device (time series database InfluxDB) to magnanimity time series data carry out classification implements spatial scalable compression storage, improve system reliability,
Availability and access efficiency are easy to extend；Ensure the consistency and fault-tolerance of data simultaneously.
3, table data multidimensional degree counts, and by bitmap index or Inverted Index Technique, realizes according to random several dimensions
It can efficiently be inquired；Prepolymerization technology is used simultaneously, is write into the when of coming in data and is just completed basic converging operation, it is high
Realize aggregate statistics report query in effect ground.
4, the technical characteristic for the cold and hot property customization of time series data is eliminated in data compression, will most by data staging storage
The data of nearly hour rank are put into memory, the data of nearest day rank are put into SSD, data more remote are put into more cheap
HDD or directly eliminate using TTL is expired.
4, hommization recommending module, by big data analysis tool and MapReduce technologies, for user for body-building custom and
Interest clusters user information, realizes that hommization course is recommended and information pushes.
5, future health is predicted, is predicted by the method for monitoring user data in real time；With the artificial intelligence of machine learning
The processing method of energy may will produce the consequences of two kinds of opposition, pass through when user data information is more than certain threshold value
After the mode (including information push, hommization notice etc.) of encouragement/warning may will produce to the current state of user feedback
Fruit.
6, users to share and evaluation store user information data by Cloud Server, pass through work synchronous with Cloud Server
Make, completes upload/download of data/shared, while this system uses H5 front-end technology, can be cross-platform, cross-terminal operation；User
Evaluation feedback content give cloud computing evaluating apparatus so that this system can calculate direction and meter according to user preference adjust automatically
Calculate angle；Therefore, this system can constantly self intelligence it is perfect.
7, this system is combined body-building with big data, by big data analysis tool, when magnanimity to monitoring generation in real time
For ordinal number according to being stored and being parsed, become that a platform services (PaaS) can carry out machine learning and intelligent self-optimization
, can data sharing/evaluation system.
Description of the drawings
The following further describes the present invention with reference to the drawings：
Fig. 1 is the block flow diagram of the present invention.
Specific implementation mode
Below in conjunction with attached drawing, technical solution in the embodiment of the present invention carries out clear, complete description, it is clear that institute
The embodiment of description is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention,
Those of ordinary skill in the art are not making the substantive scheme created and obtained, and shall fall within the protection scope of the present invention.
As shown in Figure 1, be below the present invention about a kind of concentrating type body building management system based on time series database
Critical function point and implementation method：
1：Subscriber information management module.User's registration/login this system, establishes user information profile；This module provides use
Family maintenance of information function, including：Account migration, account additions and deletions change look into, the registration management of user's basic document, user for body-building data pipe
Reason etc.；The module is to provide the basis of individualized content to the user.
2：Body-building course management module.This module provides course inquiry, course classification, course recommendation, curricular advancement management
Etc. functions；Wherein：
A：Course is inquired：Magnanimity body-building course library is provided；It is ranked up and shows according to various dimensions (such as difficulty, hot topic degree)
Show；
B：Course is classified：Including being suitble to crowd, suitable time, difficulty, hot topic degree etc.；
C：Course is recommended：After carrying out big data analysis according to the basic registration material of user, by MapReduce to information
Cluster, the course for obtaining meeting specific user are recommended；
D：Curricular advancement management：Track the specific course of certain specific user；Progress and completeness can be inquired at any time, thus into
Row information reminds push and user data update, user for body-building evaluation etc..
3：The real-time monitoring modular of calorie.After user starts some body-building course, that is, open real time monitoring function；
The function can monitor the calorie Expenditure Levels of user, heartbeat situation, pulse condition, the step number of walking/running, current body-sensing
Action etc.；The magnanimity real time data basis superseded as real-time early warning, data compression；Meanwhile when user stops certain fitness class
The real time data of Cheng Hou, the corresponding course stop monitoring.
4：Magnanimity time series data is distributed memory module.This system is real to the body-building of magnanimity using InfluxDB time series databases
When data stored, it can be achieved that the extension of distributed and horizontal extension；Wherein：
A：Storage strategy (retention policy)；Using default policy autogen (permanent)；But user can carry out
System is arranged, to change the strategy；
B：Timestamp (timestamp)；A timestamp is specified for each data；Subsequent inquiry operation can be optimized；
C:Storage engines (TSM Tree)；Multiple shard are created, the tsm storages of a bottom are corresponded under each shard
Engine has independent cache, wal, tsm file and compactor；
D：Optimiged index；It is optimized by index of metadata and TSM File indexes.
5：Report data various dimensions statistical module.By bitmap index and Inverted Index Technique, completes random dimension and carry out
Efficient inquiring technology；The polymerization techniques such as count/max are used in the original query data of magnanimity；It is former to solve statistics
The time-consuming problem of initial value is write into the when of coming in data and is just completed data aggregate operation using prepolymerization technology；From user perspective, i.e.,
The history body-building record that oneself can intuitively be inquired carries out schedule planning using the means of quantization to the fitness program of oneself.
6：Hommization recommending module.By big data analysis tool and MapReduce technologies, the historical operation of user is remembered
Record (body-building record) progress data information cluster, extract the keyword for meeting user preference feature, for these keywords into
Obtained result, is taken the several former for the condition of best suiting, is pushed to user by frequency on time by the retrieval of row course, information search, from
And improve hommization experience；User can receive and decline according to itself hobby and condition selection, and server can carry out user at this time
Preference amendment；Keep push content next time more accurate.
7：Data eliminate compression module.The purpose of this module is to save memory space, improves space utilisation；Data are eliminated
The method stored using data staging；It is directed to the cold and hot property techniques characteristic that time series data includes；Data staging memory requirement
The data of nearest hour rank can be put into memory, the data of nearest day rank are put into SSD, data more remote are put into
More cheap HDD is directly eliminated using TTL is expired.Data compression then improves query performance.
8：Future health prediction module.The premise of future anticipation is to monitor in real time；By machine learning, using artificial intelligence
Mode, obtain prompting/alarm threshold value of each body-building course；When the Real-time Monitoring Data of user be more than/approaches this
When threshold value, user is notified using various ways：Such as vibrations, information notice, screen interactive notification；Future health prediction can and
When pinpoint the problems, and in advance prevent and solve the problems, such as；It predicts thing that future time may occur according to time series.
9：User data shares/evaluation module.This system, as front end frame, completes cross-terminal, across flat using HTML5
The task of platform, while speed is fast；Therefore it is shared can to complete multiterminal for user data；Evaluation module is the use feedback of user, i.e.,
Hommization fine tuning is carried out to the method for big data analysis so that generate a data service subscribers, user improves the benign of data
Cycle.
The present invention flow be：
A：User's registration/login establishes user information and uses system；
B：System monitoring/acquisition user's real time data, generates and stores magnanimity time series data；
C：System carries out data to be classified/compression processing, and generation various dimensions polymerize/inquire report data and personalization is special
Belong to recommending data；
D：When detecting user's abnormal data or when user for body-building data reach certain threshold value, start " future anticipation "
Function sends out information/warning to user；
E：User enables data sharing, realizes that multiple terminals data synchronize, and evaluate system.
The present invention utilizes big data Hadoop, InfluxDB time series database, to sport and body-building data (such as heart of user
Hop count evidence, pulse data, step number, body-sensing data etc.) monitor and store in real time, data are counted after parsing, people
Property processing and future anticipation, while user with shared data, evaluation system, can complete the intelligent optimization of system and self rise
Grade.
Claims (11)
1. a kind of concentrating type body building management system based on time series database, it is characterised in that：The system includes：User believes
Cease management module, body-building course management module, the real-time monitoring modular of calorie, magnanimity time series data distribution memory module, report
Data multidimensional degree statistical module, hommization recommending module, data eliminate compression module, future health prediction module and user data
Shared/evaluation module；The module realize jointly subscriber information management, body-building course management, calorie monitor in real time, magnanimity
Time series data be distributed storage, report data various dimensions statistics, hommization recommendation, data eliminate compress, future health predict and
User data is shared and evaluates.
2. system according to claim 1, it is characterised in that：
The subscriber information management module is used for user's registration/login this system, establishes user information profile；And provide use
Family maintenance of information function, including：Account migration, account additions and deletions change look into, the registration management of user's basic document, user for body-building data pipe
Reason.
3. system according to claim 1, it is characterised in that：
The body-building course management module provides course inquiry, course classification, course recommendation, curricular advancement management function；Its
In：
A：Course is inquired：Magnanimity body-building course library is provided；It is ranked up and shows according to various dimensions such as difficulty, hot topic degree；
B：Course is classified：Including being suitble to crowd, being suitble to time, difficulty, hot topic degree；
C：Course is recommended：After big data analysis being carried out according to the basic registration material of user, by MapReduce to information cluster,
The course for obtaining meeting specific user is recommended；
D：Curricular advancement management：Track the specific course of certain specific user；Progress and completeness can be inquired at any time, to carry out letter
Breath reminds push and user data update, user for body-building evaluation.
4. system according to claim 1, it is characterised in that：
The real-time monitoring modular of the calorie opens real time monitoring function after user starts some body-building course；
The function can monitor the calorie Expenditure Levels of user, heartbeat situation, pulse condition, the step number of walking/running, current body-sensing
Action；The real time data basis superseded as real-time early warning, data compression；It is corresponding meanwhile after user stops certain body-building course
The real time data of the course stops monitoring.
5. system according to claim 1, it is characterised in that：
The magnanimity time series data is distributed memory module, using InfluxDB time series databases to the body-building real time data of magnanimity
It is stored, it can be achieved that the extension of distributed and horizontal extension；Wherein：
A：Storage strategy；It is permanently stored using default policy；User can carry out system setting, to change the strategy；
B：Timestamp；A timestamp is specified for each data；Optimize subsequent inquiry operation；
C：Storage engines；Multiple shard are created, the tsm storage engines of a bottom are corresponded under each shard, are had independent
Cache, wal, tsm file and compactor；
D：Optimiged index；It is optimized by index of metadata and TSM File indexes.
6. system according to claim 1, it is characterised in that：
The report data various dimensions statistical module is completed random dimension and is carried out by bitmap index and Inverted Index Technique
Efficient inquiring technology；The polymerization techniques such as count/max are used in the original query data of magnanimity；Using prepolymerization skill
Art writes into the when of coming in data and just completes data aggregate operation；From user perspective, realizes and intuitively inquire the history body-building note of oneself
Record carries out schedule planning using the means of quantization to the fitness program of oneself.
7. system according to claim 1, it is characterised in that：
The hommization recommending module remembers the historical operation of user by big data analysis tool and MapReduce technologies
Record carries out data information cluster, extracts the keyword for meeting user preference feature, for these keywords carry out course retrieval,
Obtained result is taken the several former for the condition of best suiting, is pushed to user by frequency on time by information search, to improve hommization
Experience；User can receive and decline according to itself hobby and condition selection, and server can carry out user preference amendment at this time；Under making
Primary push content is more accurate.
8. system according to claim 1, it is characterised in that：
The data eliminate compression module, and data eliminate the method using data staging storage；Include for time series data
Cold and hot property techniques characteristic；The data of nearest hour rank are put into memory, the data of nearest day rank are put into SSD, more
Data remote are put into more cheap HDD or are directly eliminated using TTL is expired；Data compression is to improve query performance.
9. system according to claim 1, it is characterised in that：
The future health prediction module by the way of artificial intelligence, obtains each body-building class by machine learning
Prompting/alarm threshold value of journey；When the Real-time Monitoring Data of user be more than/approaches this threshold value, notify to use using various ways
Family；Including vibrations, information notice, screen interactive notification.
10. system according to claim 1, it is characterised in that：
The user data shares/evaluation module, using HTML5 as front end frame, completes cross-terminal, cross-platform times
Business realizes that multiterminal are shared；Evaluation module realizes the use feedback of user, is generated by data, data improve；To big data analysis
Method carry out hommization fine tuning.
11. the implementation method of the concentrating type body building management system based on time series database, it is characterised in that：The method includes
Following flow：
A：User's registration/login establishes user information and uses system；
B：System monitoring/acquisition user's real time data, generates and stores magnanimity time series data；
C：System be classified/compression processing to data, generates various dimensions and polymerize/inquire report data, and personalized exclusive pushes away
Recommend data；
D：When detecting user's abnormal data or when user for body-building data reach certain threshold value, start " future anticipation " function,
Information/warning is sent out to user；
E：User enables data sharing, realizes that multiple terminals data synchronize, and evaluate system.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109740102A (en) * | 2019-01-24 | 2019-05-10 | 国家体育总局体育科学研究所 | A kind of body-building system and method based on knowledge of keeping fit library |
| CN109800822A (en) * | 2019-01-31 | 2019-05-24 | 北京卡路里信息技术有限公司 | Determination method, apparatus, equipment and the storage medium of similar course |
| CN109935299A (en) * | 2019-04-12 | 2019-06-25 | 北京卡路里信息技术有限公司 | A kind of generation method of drill program, device, equipment and storage medium |
| CN110070340A (en) * | 2019-04-22 | 2019-07-30 | 北京卡路里信息技术有限公司 | A kind of body-building management method, device, equipment and storage medium |
| CN111710389A (en) * | 2020-05-28 | 2020-09-25 | 许昌学院 | Public fitness utilization efficiency statistics monitoring system based on big data |
| TWI735233B (en) * | 2020-05-19 | 2021-08-01 | 智齡科技股份有限公司 | Artificial intelligence vital sign measurements identifying method and system based on individual differences |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006053722A (en) * | 2004-08-11 | 2006-02-23 | Seiko Instruments Inc | Fitness information management device, biological information terminal, and training apparatus |
| CN102111434A (en) * | 2010-12-28 | 2011-06-29 | 北京邮电大学 | Wireless network-based exercise data acquisition and service method and system |
| CN103578062A (en) * | 2012-07-20 | 2014-02-12 | 北京知康优美科技有限公司 | Scientific bodybuilding guidance realizing method and scientific bodybuilding guidance realizing system based on mobile Internet and two-dimensional code technologies |
| CN105094343A (en) * | 2015-09-25 | 2015-11-25 | 福建优安米信息科技有限公司 | Virtual robot system for promoting physical and mental health of user and intervention method of virtual robot system |
| CN105139316A (en) * | 2015-07-30 | 2015-12-09 | 中国传媒大学 | Intelligent interactive system with personal fitness trainer function |
| CN105381588A (en) * | 2014-09-02 | 2016-03-09 | 耐克创新有限合伙公司 | Monitoring fitness using a mobile device |
| CN107441689A (en) * | 2017-07-17 | 2017-12-08 | 南京宽乐健康产业有限公司 | A kind of shares is suitable can body-building equipment |
-
2018
- 2018-03-21 CN CN201810233048.5A patent/CN108538360A/en not_active Withdrawn
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006053722A (en) * | 2004-08-11 | 2006-02-23 | Seiko Instruments Inc | Fitness information management device, biological information terminal, and training apparatus |
| CN102111434A (en) * | 2010-12-28 | 2011-06-29 | 北京邮电大学 | Wireless network-based exercise data acquisition and service method and system |
| CN103578062A (en) * | 2012-07-20 | 2014-02-12 | 北京知康优美科技有限公司 | Scientific bodybuilding guidance realizing method and scientific bodybuilding guidance realizing system based on mobile Internet and two-dimensional code technologies |
| CN105381588A (en) * | 2014-09-02 | 2016-03-09 | 耐克创新有限合伙公司 | Monitoring fitness using a mobile device |
| CN105139316A (en) * | 2015-07-30 | 2015-12-09 | 中国传媒大学 | Intelligent interactive system with personal fitness trainer function |
| CN105094343A (en) * | 2015-09-25 | 2015-11-25 | 福建优安米信息科技有限公司 | Virtual robot system for promoting physical and mental health of user and intervention method of virtual robot system |
| CN107441689A (en) * | 2017-07-17 | 2017-12-08 | 南京宽乐健康产业有限公司 | A kind of shares is suitable can body-building equipment |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109740102A (en) * | 2019-01-24 | 2019-05-10 | 国家体育总局体育科学研究所 | A kind of body-building system and method based on knowledge of keeping fit library |
| CN109800822A (en) * | 2019-01-31 | 2019-05-24 | 北京卡路里信息技术有限公司 | Determination method, apparatus, equipment and the storage medium of similar course |
| CN109935299A (en) * | 2019-04-12 | 2019-06-25 | 北京卡路里信息技术有限公司 | A kind of generation method of drill program, device, equipment and storage medium |
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