CN109712681A - A kind of vehicle-mounted analysis system based on sign big data - Google Patents
A kind of vehicle-mounted analysis system based on sign big data Download PDFInfo
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- CN109712681A CN109712681A CN201811568948.1A CN201811568948A CN109712681A CN 109712681 A CN109712681 A CN 109712681A CN 201811568948 A CN201811568948 A CN 201811568948A CN 109712681 A CN109712681 A CN 109712681A
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Abstract
The invention discloses a kind of vehicle-mounted analysis system based on sign big data, including sign data acquisition equipment, Android APP client, receive server, distributed data analyzing system, HDFS distributed file system, HBASE distributed data base and between connected network；The vehicle-mounted analysis system is for providing sign data reception, the analysis of baseline signs data, sign data distributed storage, data real-time exhibition, historical data trend analysis, intelligent sign data prediction and health care suggestion service.Driver is experienced position of putting in the first place by this system, realizes sign data real time implementation, supports the ring of the more time dimensions of data than history ratio, sign data forecast function, realizes that health care plans push, sign data fluctuation prompting form comprehensive decision support.
Description
Technical field
The present invention relates to drive ancillary technique field more particularly to a kind of vehicle-mounted analysis system based on sign big data.
Background technique
The year two thousand twenty is expected, China's automobile guarantee-quantity is up to 2.5 hundred million.With the fast development of automobile industry, intelligence
Change, net connectionization, automate the inexorable trend for having become future automobile development.The trendy vehicle of mainstream automotive brand at present, all
The intelligent vehicle-carried information entertainment of standard configuration (i.e. using intelligent operating system, have the vehicle-mounted middle control of network savvy), it is real
Intelligent, net connectionization is showed.But the current mountable vehicle-mounted APP in intelligent vehicle-carried information entertainment is very deficient, because
This, there is an urgent need to towards application scenarios relevant to vehicle life, develop a large amount of original vehicle-mounted APP, is driver and Che
Interior passenger provides the service of Infotainment, service for life, driving auxiliary etc..
Summary of the invention
In view of the above drawbacks of the prior art, it is big based on sign that technical problem to be solved by the invention is to provide one kind
The vehicle-mounted analysis system of data realizes that driving intelligent, physical examination are efficient, acquires driver's body index by hardware and store
Analysis realizes monitoring health indicator, analysis of history trend with this, proposes the even urgent automatic dialing phone of reasonable proposal and navigation
Function, escort for traffic safety and driver health.
To achieve the above object, the present invention provides voice broadcast functions, emergency automatic dialing, digital map navigation
Function, function of weather forecast, body fat computing function, historical data trend prediction function.
A kind of vehicle-mounted analysis system based on sign big data of the invention, including sign data acquire equipment, Android APP
Client, receive server, distributed data analyzing system, HDFS distributed file system, HBASE distributed data base and
Between connected network；The sign data acquisition equipment is communicated by bluetooth realization therebetween with Android APP client；Institute
It states Android APP client, receive server, distributed data analyzing system, HDFS distributed file system, HBASE distribution
It is realized and is communicated by internet between database；The vehicle-mounted analysis system is for providing sign data reception, baseline signs number
According to analysis, sign data distributed storage, data real-time exhibition, historical data trend analysis, intelligent sign data prediction and doctor
Treat health care suggestion service, comprising:
The blood pressure module integrated in equipment, blood oxygen module, heart rate module, body temperature module are acquired by the sign data,
Detect the sign information of driver, i.e. heart rate, body temperature, blood pressure and blood oxygen；According to Variation of Drivers ' Heart Rate, body temperature, blood pressure and blood oxygen, lead to
Rolling average algorithm is crossed, predicts the data of its next month；
The Android APP client is analyzed driver month heart rate, body temperature, blood pressure, blood oxygen index, it is indicated that wherein
Situation of change and rule；And the history of all data analysis indexes is supported to compare the going through than analysis and limiting time range with ring
History data query；The action most beneficial to current physical condition is provided for driver in conjunction with historical data, prediction data, wave occurs
Driver can be reminded to adjust in time when dynamic；
The HBASE distributed data base, for heart rate, body temperature, blood pressure, blood oxygen (in order to carry out big data analysis, must
Mass data must be stored in distributed data base, because centralized database can not undertake mass data) it is stored, and use institute
HDFS distributed file system is stated to be managed file；
It is realized in the distributed data analyzing system using back-end data analysis module, is divided in conjunction with the HDFS is stored in
Off-line data and real time data in cloth file system, and when using binomial Logistic linear regression algorithm to following one
Between the sign Index of dimension predicted, continuous training pattern, and actual conditions is combined to carry out characteristic training to weekly data；
It is acquired equipment every ten seconds by sign data and sends data, distributed type assemblies to the reception server of support high concurrent
(distributed type assemblies framework is the framework form for describing the server to framework, and set of system is split into different sub-systems and is deployed in
Referred to as distributed on different server, dispose multiple identical subsystems on a different server, referred to as cluster) service
Device backstage Spark data reach foreground visualization, realize that real time data is shown.
Above-mentioned Android APP client include voice broadcast module, alarm module, map navigation module, weather forecast module,
Body fat computing module, prediction module store the data detected every time, are analyzed；It is opened using Android Studio
Hair；The voice broadcast module flies speech interface using news；The map navigation module uses Baidu map interface；The weather
Forecast module uses cruel Ou Tianqi interface.
The workflow of above-mentioned body fat computing module is to utilize formula a=waistline (cm) × 0.74, b=when for women
Weight (kg) × 0.082+34.89, when for male, b=weight (kg) × 0.082+44.74, body fat weight (kg)=a-
B brings the waistline of user, weight into calculating gained；The workflow of the alarm module is automatic according to user's body situation
Set heart rate threshold, once heart rate not in threshold value, the default contact person for the dial feature calling party for calling Android included；Institute
The workflow for stating prediction module is the analysis knot that HBASE distributed data base is returned using the OKHTTP method that Android carries
Fruit, and visualization is realized using the HelloChart method that Android carries.
Above-mentioned sign data acquisition equipment includes heart rate measurement module, Oximetry module, body temperature indoor temperature measurement module, blood
Press measurement module, bluetooth module；The measurement method of the heart rate measurement module is photoplethymograph；The measurement of Oximetry module
Method is spectrophotometry；The measured temperature of the body temperature indoor temperature measurement module is property body temperature in sensor FOV visual field
The average value of degree；The measurement method of the blood pressure measurement module is made by MKB0803 sensor continuous blood pressure measuring pulse wave
Algorithm PPG is traced with photo-electric volume pulsation wave, is implanted into blood pressure algorithm, directly output serial ports Uart signal.
Above-mentioned the inquiry of historical data inquires reference time data by manual setting by user, passes through HBASE distribution number
According to the unique time stamps that tables of data in library records, realizes that the data record in any time can be called, and support a key screenshot, make
Reliable reference when to seek medical advice.
Above-mentioned distributed data analyzing system includes Distributed Computing Platform, applies to distributed slave Coordination Treatment and sets
Standby collected sign data, the Distributed Computing Platform are built on linux system, using Hadoop distributed data point
It analyses platform combination Spark distributed data analyzing frame and distributed data analyzing environment is provided, using HBASE distributed data
Library, distributed transaction coordinating frame ApacheZookeeper assist dispatch coordination between realization task, and building for distributed type assemblies is adopted
Clond1 is with a host equipped with Ubuntu system and is appointed as Master, other Ubuntu host systems are ClondOther and refer to
It is set to slave, multiple host machine is under same local area network.
Above-mentioned reception server reply high concurrent mechanism uses Tomcat genesis analysis cluster, using load balancer MOD_
JK realizes load balancing, realizes that the handling capacity of separate unit reception server is effectively promoted, efficiency factor copes with 1000 equipment
Concurrent request.
Above-mentioned real time data, which is shown, uses a kind of real-time processor system, and the JSON parsing including data, the key assignments of data is looked into
Inquiry, the coordinatograph of position, canonical use, the asynchronous load of data of the log generation and Front-end Design of sign data, and the time is equal
Less than the sending cycle of data, distributed data analyzing system host and slave Coordination Treatment affairs, for depositing for large-scale data
Storage and analysis provide stable running environment.
The beneficial effects of the present invention are:
A kind of vehicle-mounted analysis system based on sign big data provided by the invention extracts sign using sign acquisition equipment
Data carry out big data analysis using B/S structure as the overall architecture of system and management system are placed on the end Web, using separate unit
Physical server constructs server cluster and collects data and distributed storage in server end.It is right on the basis of operation readiness
Mass data is effectively stored, is analyzed, being classified, being formed the sign big data analysis system of tool orderliness, and user can pass through this
System carries out easily every sign data index analysis result and checks that driver is experienced position of putting in the first place by this system, real
Sign data real time implementation is showed, has supported the ring of the more time dimensions of data than history ratio, sign data forecast function, has realized that medical treatment is protected
Strong scheme push, sign data fluctuation are reminded and form comprehensive decision support.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 is system architecture figure of the invention.
Specific embodiment
As shown in Figure 1, a kind of vehicle-mounted analysis system based on sign big data, using Browser/Server structure as point
The overall architecture of analysis system, overall architecture include sign data acquisition equipment, and Android APP client receives server, distributed
Data analysis system, HDFS distributed file system, HBASE distributed data base and between connected network；
Analysis system based on above-mentioned general frame provides sign data reception, the analysis of baseline signs data, sign data
Distributed storage, data real-time exhibition, historical data trend analysis, intelligent sign data prediction and health care suggestion service；
It is the disparate modules acquired in equipment by sign that sign data, which receives, detects the heart rate, body temperature, blood of driver
Pressure, blood oxygen, and then acquire sign information；
Driver month heart rate, body temperature, blood pressure, blood oxygen index are analyzed in the analysis of baseline signs data, it is indicated that therein
Situation of change and rule；And the history of all data analysis indexes is supported to compare the history with ring than analysis and limiting time range
Data query；
Sign data distributed storage is stored using HBASE distributed data base, and uses HDFS distributed document
System is managed file；
Data real-time exhibition by sign acquisition hardware every ten seconds to the reception server of high concurrent can be supported to send data,
The time that the server background Spark data of distributed type assemblies framework are quickly analyzed less than ten seconds, reaches foreground visualization, realizes
Real time data is shown；
Historical data trend analysis, according to driver month heart rate, body temperature, blood pressure, blood oxygen, by rolling average algorithm, in advance
The data of its next month are surveyed, provide effective reference for medical diagnosis；
Intelligent sign data prediction, by the back-end data point for using Scala language to write in distributed data analyzing system
It analyses module to realize, in conjunction with the off-line data and real time data being stored in HDFS distributed file system, and uses artificial intelligence
The body of binomial Logistic linear regression algorithm in science in the field Machine learning to the following time dimension
It levies index to be predicted, continuous training pattern, and actual conditions is combined to carry out characteristic training to weekly data, effective prediction is provided
Data；
It is most beneficial to current physical condition that health care suggestion service combines historical data, prediction data to provide for driver
Action, driver can be reminded to adjust in time when ranking fluctuates.
The inquiry of historical data inquires reference time data by manual setting by user, passes through HBASE distributed data base
The unique time stamps of middle tables of data record realize that the data record in any time can be called, and support a key screenshot, as asking
Reliable reference when doctor.
Distributed data analyzing system includes Distributed Computing Platform, applies to distributed slave Coordination Treatment equipment and adopts
The sign data collected, Distributed Computing Platform are built on linux system, using Hadoop distributed data analyzing platform knot
It closes Spark distributed data analyzing frame and distributed data analyzing environment is provided, it is distributed using HBASE distributed data base
Transaction coordination frame ApacheZookeeper assists dispatch coordination between realization task, and building for distributed type assemblies is filled using one
There is the host of Ubuntu system to be Clond1 and be appointed as Master, other Ubuntu host systems are ClondOther and are appointed as
Slave, multiple host machine are under same local area network.
It receives server reply high concurrent mechanism and uses Tomcat genesis analysis cluster, it is real using load balancer MOD_JK
Existing load balancing realizes that separate unit receives the handling capacity of server and effectively promoted, efficiency factor cope with 1000 equipment and
Hair request.
Intelligent passenger flow data prediction uses Machine learning binomial logistic linear regression algorithm, in conjunction with storage
Real time data carries out model training in off-line data in HDFS distributed file system and HBASE database table, in conjunction with driving
The current sign situation of the person of sailing carries out months it was predicted that providing more effective reference for driver and doctor.
Real time data, which is shown, uses a kind of real-time processor system, the JSON parsing including data, the key assignments inquiry of data, position
The coordinatograph set, canonical uses, the asynchronous load of data of the log generation and Front-end Design of sign data, and the time, which is respectively less than, to be counted
According to sending cycle, distributed data analyzing system host and slave Coordination Treatment affairs, be large-scale data storage and point
Analysis provides stable running environment.
Sign data acquisition module, comprising: heart rate measurement module, Oximetry module, body temperature indoor temperature measurement module, blood pressure
Measurement module, bluetooth module.All modules are integrated into one piece of development board, and by bluetooth module, the sign data measured is sent
Analysis is displayed and store to mobile phone display module, shows analysis result and suggestion to user at the end APP.Heart rate measurement module, it is main
The measurement method wanted is photoplethymograph；Oximetry module, main measurement method are spectrophotometry；Body temperature indoor temperature measurement
Module, measured temperature are the average value of all objects temperature in sensor FOV visual field；Blood pressure measurement module, main survey
Amount method is to have used algorithm MCU by MKB0803 sensor continuous blood pressure measuring pulse wave, is implanted into blood pressure algorithm, directly defeated
Serial ports Uart signal out.
A specific embodiment is given below and illustrates implementation method of the invention:
Driver is with good related device first, and on the run, system can be every heart rate, the blood of 10 seconds detection drivers
Oxygen, body temperature and blood pressure.Once driver is in an emergency, system will judge automatically whether have unusual condition, and from
It is dynamic to dial emergency contact's phone, and related emergency treatment is provided by way of voice broadcast.System passes through analysis data
Historical data in library obtains the statistical number of index of correlation, is shown by way of curve graph, histogram, and intelligent
Allot related advisory.Driver can check weekly the healthy weekly of oneself, carry out precautionary measures.
A kind of vehicle-mounted analysis system based on sign big data provided by the invention extracts sign using sign acquisition equipment
Data carry out big data analysis using B/S structure as the overall architecture of system and management system are placed on the end Web, using separate unit
Physical server constructs server cluster and collects data and distributed storage in server end.It is right on the basis of operation readiness
Mass data is effectively stored, is analyzed, being classified, being formed the sign big data analysis system of tool orderliness, and user can pass through this
System carries out easily every sign data index analysis result and checks that driver is experienced position of putting in the first place by this system, real
Sign data real time implementation is showed, has supported the ring of the more time dimensions of data than history ratio, sign data forecast function, has realized that medical treatment is protected
Strong scheme push, sign data fluctuation are reminded and form comprehensive decision support.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that those skilled in the art without
It needs creative work according to the present invention can conceive and makes many modifications and variations.Therefore, all technologies in the art
Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Technical solution, all should be within the scope of protection determined by the claims.
Claims (8)
1. a kind of vehicle-mounted analysis system based on sign big data, it is characterised in that: acquire equipment, Android including sign data
APP client receives server, distributed data analyzing system, HDFS distributed file system, HBASE distributed data base
Connected network between and；The sign data acquisition equipment and Android APP client are realized by bluetooth therebetween logical
Letter；The Android APP client receives server, distributed data analyzing system, HDFS distributed file system, HBASE point
It is realized and is communicated by internet between cloth database；The vehicle-mounted analysis system is for providing sign data reception, base body
Levy data analysis, sign data distributed storage, data real-time exhibition, historical data trend analysis, intelligent sign data prediction
With health care suggestion service, comprising:
The blood pressure module integrated in equipment, blood oxygen module, heart rate module, body temperature module, detection are acquired by the sign data
The sign information of driver, i.e. heart rate, body temperature, blood pressure and blood oxygen；According to Variation of Drivers ' Heart Rate, body temperature, blood pressure and blood oxygen, pass through shifting
Dynamic average algorithm, predicts the data of its next month；
The Android APP client is analyzed driver month heart rate, body temperature, blood pressure, blood oxygen index, it is indicated that change therein
Change situation and rule；And the history of all data analysis indexes is supported to compare the history number with ring than analysis and limiting time range
It is investigated that asking；The action most beneficial to current physical condition is provided for driver in conjunction with historical data, prediction data, when fluctuating
Driver can be reminded to adjust in time；
The HBASE distributed data base, for being stored to heart rate, body temperature, blood pressure, blood oxygen, and using the HDFS points
Cloth file system is managed file；
It is realized in the distributed data analyzing system using back-end data analysis module, it is distributed in conjunction with the HDFS is stored in
Off-line data and real time data in file system, and using binomial Logistic linear regression algorithm to the following time dimension
The sign Index of degree predicted, continuous training pattern, and actual conditions is combined to carry out characteristic training to weekly data；
It is acquired equipment every ten seconds by sign data and sends data, distributed type assemblies framework to the reception server of support high concurrent
Server background Spark data reach foreground visualization, realize real time data show.
2. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the Android
APP client includes voice broadcast module, alarm module, map navigation module, weather forecast module, body fat computing module, pre-
Module is surveyed, the data detected every time are stored, are analyzed；It is developed using Android Studio；The voice broadcast
Module flies speech interface using news；The map navigation module uses Baidu map interface；The weather forecast module uses cruel
Ou Tianqi interface.
3. a kind of vehicle-mounted analysis system based on sign big data as claimed in claim 2, it is characterised in that: the fat meter
The workflow for calculating module is to utilize formula a=waistline (cm) × 0.74, b=weight (kg) × 0.082+ when for women
34.89, when for male, b=weight (kg) × 0.082+44.74, body fat weight (kg)=a-b, by the waistline of user, body
Heave hand enters to calculate gained；The workflow of the alarm module be heart rate threshold is set according to user's body situation automatically, once
Heart rate is not in threshold value, the default contact person for the dial feature calling party for calling Android included；The work of the prediction module
Process is that the analysis of HBASE distributed data base is returned using the OKHTTP method that Android carries as a result, and included using Android
HelloChart method realize visualization.
4. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the sign number
It include heart rate measurement module, Oximetry module, body temperature indoor temperature measurement module, blood pressure measurement module, bluetooth mould according to acquisition equipment
Block；The measurement method of the heart rate measurement module is photoplethymograph；The measurement method of Oximetry module is spectrophotometry；
The measured temperature of the body temperature indoor temperature measurement module is the average value of all objects temperature in sensor FOV visual field；The blood
The measurement method for pressing measurement module is to use photo-electric volume pulsation by MKB0803 sensor continuous blood pressure measuring pulse wave
Wave traces algorithm PPG, is implanted into blood pressure algorithm, directly output serial ports Uart signal.
5. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the history number
Reference time data is inquired by manual setting by user it is investigated that asking, is recorded by tables of data in HBASE distributed data base
Unique time stamps realize that the data record in any time can be called, and support a key screenshot, as reliable ginseng when seeking medical advice
It examines.
6. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the distribution
Data analysis system includes Distributed Computing Platform, applies to the collected sign number of distributed slave Coordination Treatment equipment
According to the Distributed Computing Platform is built on linux system, using Hadoop distributed data analyzing platform combination Spark
Distributed data analyzing frame provides distributed data analyzing environment, and using HBASE distributed data base, distributed transaction is coordinated
Frame ApacheZookeeper assists dispatch coordination between realization task, and distributed type assemblies are built using one equipped with Ubuntu
The host of system is Clond1 and is appointed as Master, other Ubuntu host systems are ClondOther and are appointed as slave, Duo Taizhu
Machine machine is under same local area network.
7. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the reception clothes
Device reply high concurrent mechanism of being engaged in uses Tomcat genesis analysis cluster, realizes load balancing using load balancer MOD_JK, real
The handling capacity that existing separate unit receives server is effectively promoted, and efficiency factor copes with the concurrent request of 1000 equipment.
8. a kind of vehicle-mounted analysis system based on sign big data as described in claim 1, it is characterised in that: the real-time number
A kind of real-time processor system is used according to showing, the JSON parsing including data, the key assignments inquiries of data, the coordinatograph of position, just
It then using, the asynchronous load of data of the log generation and Front-end Design of sign data, the time is respectively less than the sending cycle of data,
Distributed data analyzing system host and slave Coordination Treatment affairs, provide stable fortune for the storage and analysis of large-scale data
Row environment.
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Application publication date: 20190503 |