CN109766369A - A kind of car networking big data analysis system - Google Patents
A kind of car networking big data analysis system Download PDFInfo
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- CN109766369A CN109766369A CN201811495882.8A CN201811495882A CN109766369A CN 109766369 A CN109766369 A CN 109766369A CN 201811495882 A CN201811495882 A CN 201811495882A CN 109766369 A CN109766369 A CN 109766369A
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Abstract
The invention discloses a kind of car networking big data analysis systems, including industry vehicle and initial data, the output end of the initial data is electrically connected with data parsing, the output end of the data parsing is electrically connected with state processing, the output end of the state processing is electrically connected with current state, the output end of the current state is electrically connected with platform data, the output end of the initial data is electrically connected with all kinds of vehicle statistics, and all kinds of vehicle statistics include being mounted with the automobile quantity of automobile black box.Invention is related to the correlative technology fields such as intelligent transportation system, the analysis of car networking data, ubiquitous communication and mobile Internet, pass through Intellisense vehicle dynamic, static data, to preferably make correct judgement, it avoids and causes bigger blocking, to make the content of car networking big data analysis network analysis specifically, coverage area is more extensive, to reduce error, improves the using effect of car networking.
Description
Technical field
The present invention relates to data analysis technique field, specially a kind of car networking big data analysis system.
Background technique
Being constantly progressive and develop and vehicle is continuously increased with social economy, easily causes traffic congestion, however
Driver is in driving, the unpredictable traffic condition to road ahead, to be difficult to make correct judgement, to make
The blocking of Cheng Geng great, and the case where vehicle can not be monitored in real time, to a kind of car networking big data analysis system occur
System, however the content of existing car networking big data analysis network analysis is not specific enough, coverage area is more narrow, is easy to appear
Error, to reduce the using effect of car networking.
Summary of the invention
The purpose of the present invention is to provide a kind of car networking big data analysis systems, to solve to propose in above-mentioned background technique
The problem of.
To achieve the above object, the invention provides the following technical scheme: a kind of car networking big data analysis system, including row
Industry vehicle and initial data, the output end of the initial data are electrically connected with data parsing, the output end of the data parsing
It is electrically connected with state processing, the output end of the state processing is electrically connected with current state, the output of the current state
End is electrically connected with platform data, and the output end of the initial data is electrically connected with all kinds of vehicle statistics, all kinds of vehicles
Statistics includes being mounted with the automobile quantity of automobile black box, and the output end of all kinds of vehicle statistics is electrically connected with data cases
The output end of analysis, the data cases analysis is electrically connected with real-time vehicle data today, and the data cases are analyzed defeated
Outlet is electrically connected with APP behavioral data today, and the output end of the data cases analysis is electrically connected with running data, described
The output end of platform data is electrically connected with off-line calculation, and the off-line calculation includes that statement analysis and big data are excavated, described
The output end of off-line calculation is connected with computer background and mobile phone, and adaptable APP is provided on mobile phone.
Preferably, the platform data include generate today data volume, hundred kilometer of three anxious number, running data amount today,
It runs at high speed number of users, hundred kilometers of average consumprions, average daily mileage travelled, average daily fuel consumption, traffic congestion user, goes out at night train user
One line user of city user and two o'clock.
Preferably, the input terminal of the output end and platform data of the real-time vehicle today data is electrically connected, and today is real
When vehicle data include install black box quantity and newly-increased quantity, fatigue driving, over-speed vehicles, fault car, collision vehicle,
Vehicle to be examined annually, vehicle to be insured and three walk rapidly as quantity.
Preferably, the input terminal of the output end of the APP today behavioral data and platform data is electrically connected, described today
APP behavioral data includes people-car interaction, Add User, any active ues, social interaction, order numbers and welfare get number in processing
Amount.
Preferably, the state processing includes zig zag data, emergency brake car data and anxious step on the gas data, and state processing
It is electrically connected with zig zag data, the state processing and emergency brake car data are electrically connected, and the state processing is stepped on the gas with anxious
Data.
Preferably, the input terminal of the output end of the running data and platform data is electrically connected, the running data packet
Include accumulative running time, accumulative mileage travelled, accumulative fuel consumption and accumulative CO2 discharge amount.
Preferably, the output end of the platform data and the input terminal of statement analysis are electrically connected, the platform data
The output end that input terminal and big data are excavated is electrically connected.
Preferably, the output end of the industry vehicle is provided with gateway, and industry vehicle is connected by gateway and initial data
It connects.
Preferably, described three to walk rapidly as quantity include break turn, urgent is accelerated and emergency braking.
Compared with prior art, the beneficial effects of the present invention are: the present invention is imported the information of industry vehicle by gateway
In initial data, then the status of vehicle is analyzed by data parsing, and result is imported in platform data, then led to
It crosses all kinds of vehicle statistics to count vehicle, and data cases analysis is carried out to vehicle, to show that running data, today are real
When vehicle data and APP behavioral data today, and result is imported into platform data, consolidation is then carried out to it by statement analysis
It calculates, then imports the result of calculating on the APP of interior of mobile phone, to make driver in driving, by mobile phone
APP can predict the traffic condition of road ahead, to preferably make correct judgement, avoid cause it is bigger stifled
Plug, and by running data, real-time vehicle data today, APP behavioral data today and state processing to vehicle the case where carry out
Real time monitoring, to make the content of car networking big data analysis network analysis, specifically coverage area is more extensive, to subtract
Small error, improves the using effect of car networking.
Detailed description of the invention
Fig. 1 is car data analysis system flow chart of the invention；
Fig. 2 is the system flow chart of real time data today of the invention；
Fig. 3 is the system flow chart of platform data of the present invention；
Fig. 4 is the system flow chart of APP behavioral data today of the invention；
Fig. 5 is the system flow chart of state processing of the present invention；
Fig. 6 is the system flow chart of running data of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Fig. 1-6 is please referred to, a kind of embodiment provided by the invention: a kind of car networking big data analysis system, including industry
Vehicle and initial data, the output end of initial data are electrically connected with data parsing, and the output end of data parsing is electrically connected with
State processing, the output end of state processing are electrically connected with current state, and the output end of current state is electrically connected with platform number
According to the output end of initial data is electrically connected with all kinds of vehicle statistics, and all kinds of vehicle statistics include being mounted with automobile black box
Automobile quantity, the output end of all kinds of vehicle statistics are electrically connected with data cases analysis, and the output end of data cases analysis is electrical
Real-time vehicle data today are connected with, the output end of data cases analysis is electrically connected with APP behavioral data today, data cases
The output end of analysis is electrically connected with running data, and the output end of platform data is electrically connected with off-line calculation, off-line calculation packet
It includes statement analysis and big data is excavated, the output end of off-line calculation is connected with computer background and mobile phone, and is provided on mobile phone
Adaptable APP.
The present invention by state processing, running data, real-time vehicle data today and APP behavioral data today to vehicle and
Service condition on APP is counted, thus make the content of car networking big data analysis network analysis specifically, coverage area
It is more extensive, to reduce error, the using effect of car networking is improved, and consolidation meter is carried out to it by statement analysis
It calculates, then imports the result of calculating on the APP of interior of mobile phone, to make driver in driving, by mobile phone
APP can predict the traffic condition of road ahead, to preferably make correct judgement, avoid and cause bigger blocking.
Attached drawing 1 and 3 please be considered and examined emphatically, and platform data includes generating data volume, hundred kilometer of three anxious number, traveling today today
Data volume, number of users of running at high speed, hundred kilometers of average consumprions, average daily mileage travelled, average daily fuel consumption, block up user, night train
User, go out of the city one line user of user and two o'clock.
This kind of car networking big data analysis system preferably generates data volume, hundred to today by the platform data of setting
It is the anxious numbers of kilometer three, running data amount today, number of users of running at high speed, hundred kilometers of average consumprions, average daily mileage travelled, average daily
Fuel consumption, traffic congestion user, night train user go out of the city user and one line user of two o'clock counts, and make car networking big data analysis
Specifically, coverage area is more extensive for the content of network analysis, to reduce error, improves the use effect of car networking
Fruit.
Please consider and examine attached Fig. 1 and 2 emphatically, today real-time vehicle data output end and the input terminal of platform data electrically connect
Connect, today real-time vehicle data include install black box quantity and newly-increased quantity, fatigue driving, over-speed vehicles, fault car,
Collision vehicle, vehicle to be examined annually, vehicle to be insured and three walk rapidly as quantity.
This kind of car networking big data analysis system is by real-time vehicle today data preferably to the quantity of installation black box
And newly-increased quantity, fatigue driving, over-speed vehicles, fault car, collision vehicle, vehicle to be examined annually, vehicle to be insured and three walk rapidly
It is monitored in real time for quantity, makes driver in driving, the traffic of road ahead can be predicted by the APP on mobile phone
Situation avoids to preferably make correct judgement and causes bigger blocking.
Please consider and examine attached drawing 1 and 4 emphatically, today APP behavioral data output end and the input terminal of platform data be electrically connected,
Today APP behavioral data include people-car interaction, Add User, any active ues, social interaction, order numbers and welfare are got in processing
Quantity.
This kind of car networking big data analysis system by APP today behavioral data preferably to people-car interaction, Add User,
Any active ues, social interaction, order numbers and welfare are got quantity and are counted in processing, to increase the usability of APP.
Attached drawing 1 and 5 please be considered and examined emphatically, state processing includes zig zag data, emergency brake car data and anxious data of stepping on the gas, and
State processing and zig zag data are electrically connected, and state processing and emergency brake car data are electrically connected, and state processing is stepped on the gas with anxious
Data.
This kind of car networking big data analysis system is preferably collected by state processing data of taking a sudden turn, emergency brake car data and
It suddenly steps on the gas data, reaches real time monitoring, so as to predict the traffic condition of road ahead, to preferably make correct
Judgement, avoids and causes bigger blocking.
Attached drawing 1 and 6 please be considered and examined emphatically, and the output end of running data and the input terminal of platform data are electrically connected, and travel number
According to including accumulative running time, accumulative mileage travelled, accumulative fuel consumption and accumulative CO2 discharge amount, the output end of platform data with
The input terminal of statement analysis is electrically connected, and the output end that the input terminal and big data of platform data excavate is electrically connected.
This kind of car networking big data analysis system by running data to vehicle add up running time, accumulative mileage travelled,
The case where accumulative fuel consumption and accumulative CO2 discharge amount are counted, driver made more intuitively to see vehicle driving, makes car networking
Specifically, coverage area is more extensive for the content of big data analysis network analysis, to reduce error, improves car networking
Using effect.
Attached drawing 2 please be considered and examined emphatically, and the output end of industry vehicle is provided with gateway, and industry vehicle passes through gateway and original number
According to connection, three to walk rapidly as quantity include break turn, urgent is accelerated and emergency braking.
This kind of car networking big data analysis system is by importing initial data for the status of industry vehicle using gateway as channel
In, statistics and analysis is then carried out to the case where industry vehicle by vehicle net big data analysis system, and big by vehicle net
Data analysis system carries out real-time monitoring to the break turn of vehicle, urgent acceleration and emergency braking, makes car networking big data point
Specifically, coverage area is more extensive for the content of analysis system analysis, to reduce error, improves the use effect of car networking
Fruit.
Working principle: in use, importing the information of industry vehicle in initial data by gateway, then pass through data solution
Analysis parses the status of vehicle, is then monitored in real time by current state of the state processing to vehicle, to vehicle
Zig zag data, emergency brake car data and anxious data of stepping on the gas are analyzed, and the result of parsing is imported in platform data, then
By all kinds of vehicles statistics to being mounted with that the automobile quantity of automobile black box counts, and by data cases analysis to statistics
Result carry out processing analysis, then by running data in vehicle travel process accumulative running time, in accumulative traveling
Journey, accumulative fuel consumption and accumulative CO2 discharge amount are counted, and the result of statistics is imported platform data, then pass through today
APP behavioral data to the people-car interaction of user, Add User, any active ues, social interaction, welfare get quantity and processing in order
Odd number is successively counted, and the result of statistics is then imported platform data, and black to installing by real-time vehicle today data
The quantity of case and newly-increased quantity, fatigue driving, over-speed vehicles, fault car, collision vehicle, vehicle to be examined annually, vehicle to be insured
, break turn, it is urgent accelerate and emergency braking is counted, and result is imported into platform data, then passes through big data digging
The content on platform data is transferred in pick, carries out off-line calculation by statement analysis, and the result of calculating is imported computer background
It is after more intuitively seeing data analysis as a result, to make then by the adaptable APP being arranged on mobile phone on mobile phone
Driver can predict the traffic condition of road ahead by the APP on mobile phone in driving.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
Claims (9)
1. a kind of car networking big data analysis system, including industry vehicle and initial data, it is characterised in that: the initial data
Output end be electrically connected with data parsing, the output end of data parsing is electrically connected with state processing, at the state
The output end of reason is electrically connected with current state, and the output end of the current state is electrically connected with platform data, described original
The output end of data is electrically connected with all kinds of vehicle statistics, and all kinds of vehicle statistics include the automobile for being mounted with automobile black box
Quantity, the output end of all kinds of vehicle statistics are electrically connected with data cases analysis, the output end of the data cases analysis
Real-time vehicle data today are electrically connected with, the output end of the data cases analysis is electrically connected with APP behavioral data today,
The output end of the data cases analysis is electrically connected with running data, and the output end of the platform data is electrically connected with offline
It calculates, the off-line calculation includes that statement analysis and big data are excavated, after the output end of the off-line calculation is connected with computer
Platform and mobile phone, and adaptable APP is provided on mobile phone.
2. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the platform data includes
Generate today data volume, hundred kilometer of three anxious number, running data amount today, number of users of running at high speed, hundred kilometers of average consumprions,
Average daily mileage travelled, average daily fuel consumption, traffic congestion user, night train user, go out of the city one line user of user and two o'clock.
3. a kind of car networking big data analysis system according to claim 1, it is characterised in that: real-time vehicle today
The input terminal of the output ends of data and platform data is electrically connected, today real-time vehicle data include install black box quantity and
Newly-increased quantity, fatigue driving, over-speed vehicles, fault car, collision vehicle, vehicle to be examined annually, vehicle to be insured and three walk rapidly for
Quantity.
4. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the APP today behavior
The output end of data and the input terminal of platform data are electrically connected, and the APP today behavioral data includes people-car interaction, newly-increased use
Family, any active ues, social interaction, order numbers and welfare get quantity in processing.
5. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the state processing includes
Zig zag data, emergency brake car data and anxious data of stepping on the gas, and state processing and zig zag data are electrically connected, at the state
Reason is electrically connected with emergency brake car data, the state processing and anxious data of stepping on the gas.
6. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the running data it is defeated
The input terminal of outlet and platform data is electrically connected, and the running data includes accumulative running time, accumulative mileage travelled, adds up
Fuel consumption and accumulative CO2 discharge amount.
7. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the platform data it is defeated
Outlet and the input terminal of statement analysis are electrically connected, and the output end that the input terminal of the platform data is excavated with big data electrically connects
It connects.
8. a kind of car networking big data analysis system according to claim 1, it is characterised in that: the industry vehicle it is defeated
Outlet is provided with gateway, and industry vehicle is connect by gateway with initial data.
9. a kind of car networking big data analysis system according to claim 3, it is characterised in that: described three walk rapidly as quantity
Including break turn, urgent acceleration and emergency braking.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811495882.8A CN109766369A (en) | 2018-12-07 | 2018-12-07 | A kind of car networking big data analysis system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811495882.8A CN109766369A (en) | 2018-12-07 | 2018-12-07 | A kind of car networking big data analysis system |
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| CN109766369A true CN109766369A (en) | 2019-05-17 |
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| CN201811495882.8A Pending CN109766369A (en) | 2018-12-07 | 2018-12-07 | A kind of car networking big data analysis system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987083A (en) * | 2019-12-23 | 2020-04-10 | 北京蜂云科创信息技术有限公司 | Method and equipment for monitoring vehicle emission data based on Internet of vehicles |
| CN111210543A (en) * | 2020-01-13 | 2020-05-29 | 上海花成汽车科技有限公司 | Automobile detection data analysis system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580327A (en) * | 2013-10-29 | 2015-04-29 | 上海沐风数码科技有限公司 | 3G network-based internet-of-vehicle intelligent terminal and implementation method thereof |
| US20160253591A1 (en) * | 2015-02-27 | 2016-09-01 | Samsung Sds Co., Ltd. | Method and apparatus for managing performance of database |
| KR20180024165A (en) * | 2016-08-29 | 2018-03-08 | 주식회사 플렉싱크 | A Wellness Tourist Goods Providing System Using the Analysis of Big Data |
| WO2018133919A1 (en) * | 2017-01-17 | 2018-07-26 | Siemens Aktiengesellschaft | Method for predicting the life expectancy of a component of an observed vehicle and processing unit |
| CN108391466A (en) * | 2017-05-31 | 2018-08-10 | 北京小米移动软件有限公司 | The method and device of transmission data |
-
2018
- 2018-12-07 CN CN201811495882.8A patent/CN109766369A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104580327A (en) * | 2013-10-29 | 2015-04-29 | 上海沐风数码科技有限公司 | 3G network-based internet-of-vehicle intelligent terminal and implementation method thereof |
| US20160253591A1 (en) * | 2015-02-27 | 2016-09-01 | Samsung Sds Co., Ltd. | Method and apparatus for managing performance of database |
| KR20180024165A (en) * | 2016-08-29 | 2018-03-08 | 주식회사 플렉싱크 | A Wellness Tourist Goods Providing System Using the Analysis of Big Data |
| WO2018133919A1 (en) * | 2017-01-17 | 2018-07-26 | Siemens Aktiengesellschaft | Method for predicting the life expectancy of a component of an observed vehicle and processing unit |
| CN108391466A (en) * | 2017-05-31 | 2018-08-10 | 北京小米移动软件有限公司 | The method and device of transmission data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987083A (en) * | 2019-12-23 | 2020-04-10 | 北京蜂云科创信息技术有限公司 | Method and equipment for monitoring vehicle emission data based on Internet of vehicles |
| CN111210543A (en) * | 2020-01-13 | 2020-05-29 | 上海花成汽车科技有限公司 | Automobile detection data analysis system |
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